Language：Japanese   Publisher：新潟医学会  

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OBJECTIVE: To examine the association between a positive family history (parents, siblings, and grandparents) of type 2 diabetes mellitus (T2DM), hypertension, and dyslipidemia and their prevalence and incidence in the same population. PATIENTS AND METHODS: Data on 41,361 participants who underwent health examinations between January 1, 1997, and December 31, 2007, were analyzed, and the results of logistic and Cox regression analyses in the same cohort were examined. RESULTS: Cross-sectional analyses showed that the prevalence of all three diseases increased with a positive family history, especially T2DM, with an odds ratio (OR) of 12.00 (95% CI, 7.82 to 18.41) when the number of affected relatives was greater than or equal to 3 with an OR of 20.43 (95% CI, 11.0 to 37.8) for a positive family history across three generations compared with no family history. However, redefining family history from "parents, siblings, and grandparents" to "parents and siblings" or "parents only" did not significantly change ORs for each disease. Among those with a positive family history and body mass index greater than or equal to 30.0 kg/m2 hypertension was 19 times more prevalent compared with no family history and body mass index of 18.5 to 24.9 kg/m2. In the longitudinal study, family history strongly influenced incident T2DM (hazard ratio[HR], 2.40; 95% CI, 1.93 to 2.98), hypertension (HR, 1.43; 95% CI, 1.26 to 1.62), and dyslipidemia (HR, 1.41; 95% CI, 1.08 to 1.83), respectively. CONCLUSION: Obtaining a family history of these diseases was useful in identifying high-risk groups. Also, for T2DM, the influence of a positive family history was strongest with a marked increase in risk with overlap of affected family members, suggesting that a family history is useful for early detection and prevention.

DOI： 10.1016/j.mayocp.2024.10.020

PubMed

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BACKGROUND & AIMS: This study assessed the association of remission of type 2 diabetes mellitus (DM) or metabolic dysfunction-associated steatotic liver disease (MASLD)/related SLD (r-SLD; MASLD with excessive alcohol intake) as defined by the fatty liver index with the risk of cardiovascular disease (CVD). METHODS: Health examination data at baseline and after 2 years (2-Years) were extracted from a nationwide claims database in Japan. Among participants aged 18-72 years with at least 3 years of follow-up, 9345 participants with DM-associated MASLD/r-SLD and 71 932 participants with non-DM MASLD/r-SLD at baseline were included in the study. The participants were stratified by the achievement of remission of MASLD/r-SLD or DM at 2-Years. In each group after stratification, the risk of new-onset CVD during the observation period was analysed using multivariate Cox proportional hazards models. RESULTS: During a median follow-up of 4.9 years (starting from 2-Years), 1368 cases of CVD were observed. The hazard ratio (95% confidence interval) for CVD was 0.50 (0.31-0.80) for participants with remission of DM, 0.65 (0.47-0.91) for participants with remission of MASLD/r-SLD, and 0.34 (0.15-0.77) for participants with remission of both DM and MASLD/r-SLD. Conversely, remission of MASLD/r-SLD was not linked to a reduced risk of CVD in participants with non-DM MASLD/r-SLD. CONCLUSION: The association of MASLD/r-SLD remission with CVD risk differs greatly in the presence and absence of DM. In patients with DM-MASLD/r-SLD, MASLD/r-SLD remission can significantly reduce CVD risk similarly as remission of DM.

DOI： 10.1111/dom.16196

PubMed

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Publishing type：Research paper (scientific journal)   Publisher：Wiley  

Background: It remains unknown whether improvements in prognosis of pregnancy in patients with diabetes mellitus are dependent on glycemic control (GC). This metaregression analysis was aimed at exploring the relationships between the improvements in GC.

Methods: Using Embase and MEDLINE (from Jan. 1, 1950, to Apr. 29, 2024), we searched for randomized controlled trials of intensive glucose management in pregnant women with gestational, pregestational, or overt diabetes mellitus, in which the blood glucose level using any GC indicator and the incidence of any adverse maternal and/or fetal outcome were compared between two groups with different intensities of glucose management. Relative risks (RRs) of individual adverse outcomes were regressed on the reductions in individual GC indicators.

Results: We examined the dose–response relationship between reductions in four GC indicators (hemoglobin A1c (A1C), fasting plasma glucose (FPG), 2‐h postprandial glucose, and mean blood glucose) and 14 adverse pregnancy outcomes in 62 eligible trials. Reductions in FPG were associated with the reduced risk of 10/14 adverse outcomes, with the exceptions being cesarean section, small for gestational age, premature rupture of membranes, and congenital malformation. Reductions in A1C were strongly associated with the reduced risk of cesarean section (r = 0.67, p < 0.001), indicating that the RR (95% confidence interval) for a 1% incremental decrease in A1C was 0.63 (0.49–0.80).

Conclusions: Risk reductions in the majority of pregnancy complications in those with diabetes depend on the improvement of GC induced by intensive glucose management.

DOI： 10.1155/jdr/3490884

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Language：English   Publishing type：Research paper (scientific journal)  

AIM: To investigate the association between low-density lipoprotein-cholesterol (LDL-C) levels and coronary artery disease (CAD) incidence based on combining high-density lipoprotein-cholesterol (HDL-C) levels and glucose status. MATERIALS AND METHODS: In this retrospective cohort study, we used data from a nationwide claims database (1,524,289 individuals without a history of CAD or familial hypercholesterolaemia; 2008-2019). Cox proportional hazards modelling identified the risk of incident CAD by a novel combination of four HDL-C levels, seven LDL-C levels and glucose status. RESULTS: During the follow-up period (mean: 5.5 years), 8301 (0.99/1000 person-years) events occurred. The risk of CAD increased from lower LDL-C levels accompanied by lower HDL-C levels regardless of the glucose status. Using the most favourable levels of HDL-C and LDL-C (i.e. 60-99 mg/dL and <80 mg/dL, respectively) as references, the hazard ratios (95% confidence interval) for the group with HDL-C levels <40 mg/dL and LDL-C levels <80 mg/dL were 2.74 (1.47-5.11), 2.52 (1.30-4.91) and 2.85 (1.68-4.84) for normoglycaemia, borderline glycaemia and diabetes, respectively. Comparison of the most favourable levels of HDL-C and LDL-C with their least favourable levels (i.e. <40 mg/dL and 180-199 mg/dL, respectively) revealed that the risk of new-onset CAD exhibited a 19-, nine- and seven-fold increase in individuals with normoglycaemia, borderline glycaemia and diabetes, respectively. CONCLUSIONS: To prevent CAD, LDL-C levels should be strictly controlled in patients with low HDL-C levels regardless of glucose tolerance. Individualized treatment, which involves setting target LDL-C levels based on glucose tolerance and HDL-C values, is required.

DOI： 10.1111/dom.15956

PubMed

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Language：English   Publishing type：Research paper (scientific journal)  

AIMS: To clarify the impact of Breslow's scores consisting of only lifestyle habits or American Heart Association's (AHA) Life's Simple 7 scores consisting of lifestyle habits and control targets on starting dialysis in people with or without diabetes mellitus (DM). METHODS: To pursue the study aims, we examined a nationwide database on 294,647 individuals with and without DM aged 19-72 y in Japan to pursue the study aims. Using multivariate Cox modeling, we evaluated and compared 5 risk factors based on the unfavorable lifestyle factors in Breslow's scores and the unfavorable lifestyle factors and clinical values in AHA Life's Simple 7 scores. RESULTS: DM increased the risk of the initiation of dialysis 5- to sixfold but that risk did not increase with worsening of Breslow risk factors. Compared with no risk factor, 5 risk factors derived from AHA's Life's Simple 7 presented 9.8-fold and 4.2-fold risks for the initiation of dialysis in non-DM and DM, respectively. In comparison with non-DM and no risk factor, risk of the initiation of dialysis dramatically increased up to 32.3 times according to the number of AHA risk factors in those with DM. CONCLUSIONS: DM and risk factors derived from AHA's Life's Simple 7 synergistically increased the risk of the initiation of dialysis. Factors similar to those used to predict cardiovascular disease would also be useful to predict the initiation of dialysis. These approaches might be helpful in clinical practice and patient education. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13340-024-00739-0.

DOI： 10.1007/s13340-024-00739-0

PubMed

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Language：Japanese   Publisher：(一社)日本糖尿病合併症学会  

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Language：Japanese   Publisher：(一社)日本糖尿病合併症学会  

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Language：English   Publishing type：Research paper (scientific journal)  

AIMS: To evaluate and compare the association of incident cardiovascular disease (CVD) with the Health Practice Index (HPI) reflecting only lifestyle habits and Ideal Cardiovascular Health Metrics (ICVHMs) consisting of lifestyle habits and factors targeted for control in the same population according to glucose status. METHODS: This retrospective cohort study included 1,28,162 participants aged 18-72 years with no history of CVD followed for ≥ 3 years between 2008 and 2016. Participants were classified according to normal glucose tolerance (86,174), prediabetes (36,096), or diabetes (5892). HPI and ICVHMs scores were classified into three groups (high/medium/low). Multivariate Cox regression hazard analysis examined CVD risk. RESULTS: During a mean follow-up of 5.2 years, 1057 CVD events occurred. In prediabetes, CVD risk was significantly higher in groups with both medium and low HPI scores and ICVHMs scores compared to high scores for normal glucose tolerance (hazard ratios [HRs] for high/medium/low HPI scores were 0.95 [0.78-1.17], 1.56 [1.29-1.89], and 2.41 [1.74-3.34] and for ICVHMs scores were 0.74 [0.50-1.11], 1.58 [1.26-1.98], and 2.63 [2.10-3.31], respectively). Regarding diabetes, compared with high HPI/ICVHMs scores in the normal glucose tolerance group, a significantly increased CVD risk was observed in the high-score HPI group, but not in the high-score ICVHMs group (HPI high/medium/low HR, 1.63 [1.22-2.18], 2.19 [1.69-2.83], and 2.26 [1.34 -3.83]; ICVHMs high/medium/low HR, 1.14 [0.47-2.81], 2.38 [1.75-3.23], and 3.31 [2.50-4.38], respectively). CONCLUSIONS: In diabetes, ideal lifestyle practices alone were insufficient for primary prevention of CVD but had a greater impact on primary prevention of CVD in prediabetes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13340-024-00708-7.

DOI： 10.1007/s13340-024-00708-7

PubMed

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Publishing type：Research paper (scientific journal)   Publisher：American Diabetes Association  

Childhood obesity mostly transitions into adulthood and leads to non-communicable diseases such as type 2 diabetes and metabolic syndrome. We aimed to examine individual-level transitions in metabolic parameters during adolescence and young adulthood. We analyzed metabolic parameters in 523 participants (311 males) who underwent health examinations at the ages of 14 y (8th grade) and 20 y. Weight status was assessed by the International Obesity Task Force at 14 y and by BMI (thinness: &amp;lt;18.5; normal: 18.5-24.9; obesity: ≥25.0) at 20 y. HbA1c ≥5.7% was defined as high. Clustered metabolic risk score (CMR) was calculated by summing the sex-age specific Z-scores of each metabolic factor (mean arterial pressure, non-HDLC, and HbA1c) with ≥1 SD defined as high. Among participants who were obese at 14 y, 56% of males and 29% of females remained obese at 20 y. In both sexes, 30-50% had high HbA1c and 30-50% had high CMR as tracked from adolescence to adulthood (table). Furthermore, the high CMR of obese females increased markedly from about 20% at 14 y to 50% at 20 y. In addition, 60% of females who were obese at both 14 y and 20 y had high HbA1c at 20 y. Results suggested the importance of lifestyle interventions from childhood, as about half of the high metabolic parameters observed in adolescents were tracked into adulthood, and obesity complications, which were rarely shown at 14 y, appeared in many at age 20 y.

<p></p> Disclosure

I. Ikeda: None. K. Fujihara: None. H. Shiozaki: None. S.Y. Morikawa: None. C. Horikawa: None. Y. Takeda: None. H. Ishiguro: None. T. Yamada: None. S. Kodama: None. Y. Ogawa: None. H. Sone: Research Support; Novo Nordisk, Astellas Pharma Inc., Kowa Company, Ltd., Kyowa Kirin Co., Ltd., Eisai Inc., Sumitomo Dainippon Pharma Co., Ltd.

DOI： 10.2337/db24-1148-p

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Publishing type：Research paper (scientific journal)   Publisher：American Diabetes Association  

Heritability and obesity are strongly associated with the prevalence of T2DM, HT, and DL. We compared the effects of an FH of T2DM, HT, and DL combined with obesity on the prevalence of each in the same population. Of 41931 participants who underwent health checkups, the effects of an FH and BMI on the prevalence of those conditions were analyzed cross-sectionally. Prevalences of T2DM, HT, and DL were 5%, 20%, and 48%, respectively. Logistic regression analysis showed that ORs increased for all three as the number of FH positive cases increased and was most pronounced for T2DM. An FH of obesity and increased BMI were additively associated with the prevalence of the three diseases compared to BMI 20.0-21.9 and no positive FH (Fig. A). In addition, the combination of the number of family members with FH positivity (0,1, 2, ≥3) and obesity was additively associated with an increased FH of the three diseases compared to non-obesity and no FH of any of these diseases (Fig. B). For T2DM, the OR increased sharply in non-obese participants when the number of those with an FH of T2DM was ≥3 (14.4 [8.88-23.5]), but in obese participants the OR increased sharply when the number of those with an FH of T2DM was 2 (12.2 [8.85-16.9]) (Fig. B). Results suggest that, especially for T2DM, avoidance of obesity may be effective in reducing the prevalence of these disorders in those with many FH-positive family members.

<p></p> Disclosure

I. Ikeda: None. K. Fujihara: None. Y. Takeda: None. C. Horikawa: None. S. Kodama: None. E.D. Ferreira: None. Y. Mori: None. T. Kadowaki: None. R. Yamamoto-Honda: None. Y. Arase: None. H. Sone: Research Support; Novo Nordisk, Astellas Pharma Inc., Kowa Company, Ltd., Kyowa Kirin Co., Ltd., Eisai Inc., Sumitomo Dainippon Pharma Co., Ltd.

DOI： 10.2337/db24-1666-p

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Publishing type：Research paper (scientific journal)   Publisher：American Diabetes Association  

Although control of multiple risk factors is essential to prevent FD with and without DM, longitudinal studies are scarce that directly and quantitatively compare effects of such control. Thus, we assessed whether reaching multifactorial targets for HbA1c, blood pressure, non-HDLC, and lifestyle risks such as smoking and no physical activity are associated with FD in those with and without DM.

Enrolled were 9652 Japanese aged 39-98 y. FD was defined based on the Japanese long-term care insurance system, and targets were based on ADA and Japanese guidelines.

Of 8,861 non-DM persons, 6.3, 25.2 and 49.1% were on target for 0-2, 3 and 4 factors, respectively. Of 791 persons with DM, 12.4, 68.0 and 19.3% were on target for 0-2, 3-4 and 5 factors, respectively.

Multivariate Cox analysis showed increased FD with decreased targets reached regardless of DM (Table, upper). Compared with people with non-DM who achieved 4 targets, non-DM persons who achieved 0 to 2 targets and DM persons who achieved 3 to 4 targets had nearly twice the incidence of FD (Table, lower). Moreover, people with DM who achieved only 0 to 2 targets had an approximately 4 times higher incidence of FD (Table, lower). Control of modifiable risk factors was effective regardless of DM. Achievement of all 5 targets among people with DM may reduce FD to the same level as in non-DM persons who achieved all 4 targets.

<p></p> Disclosure

H. Shiozaki: None. K. Fujihara: None. K. Tsuruoka: None. I. Ikeda: None. M. Kitazawa: None. Y. Matsubayashi: None. M. Yamamoto: None. T. Yamada: None. S. Kodama: None. H. Sone: Research Support; Novo Nordisk, Astellas Pharma Inc., Kowa Company, Ltd., Kyowa Kirin Co., Ltd., Eisai Inc., Sumitomo Dainippon Pharma Co., Ltd.

Funding

the Japan Society for the Promotion of Science (21K11569); Daiwa Securities Health Foundation

DOI： 10.2337/db24-1259-p

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Publishing type：Research paper (scientific journal)   Publisher：American Diabetes Association  

A FH of T2DM, HT, and DL are known risk factors; however, few studies have compared the impact of a FH of the 3 diseases in the same population. We examined the impact of a detailed FH of these conditions (i.e., in fathers, mothers, siblings and grandparents) on their prevalence and incidence in the study population. Data on 41,931 participants who underwent health checkups were examined and the results of a logistic regression and (Cox regression model in the same cohort were examined. Results of the cross-sectional study showed that odds ratios increased with the degree of a positive FH for all three diseases. Furthermore, in T2DM, the group with a three-generation positive FH was approximately 20 times larger than the control group which had no FH (Figure). In the longitudinal study, FH had a strong influence on the incidence of T2DM, HT, and DL, in that order, with a hazard ratio of 2.40 (1.93-2.98) for T2DM. A detailed FH was extremely useful for both quantitative screening for each disease and predicting the incidence of the three diseases, especially T2DM, for which a high risk was indicated in multiple generations with overlapping of positivity for a particular disease.

<p></p> Disclosure

I. Ikeda: None. K. Fujihara: None. Y. Takeda: None. M. Hatta: None. S. Wu: None. S. Kodama: None. Y. Mori: None. T. Kadowaki: None. R. Yamamoto-Honda: None. Y. Arase: None. H. Sone: Research Support; Novo Nordisk, Astellas Pharma Inc., Kowa Company, Ltd., Kyowa Kirin Co., Ltd., Eisai Inc., Sumitomo Dainippon Pharma Co., Ltd.

DOI： 10.2337/db24-1474-p

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Language：English   Publishing type：Research paper (scientific journal)  

AIMS: We attempted to clarify whether the multiple criteria for metabolic syndrome (MetS) can sufficiently predict cardiovascular disease, whether waist circumference (WC) should be required, and whether sex-specific thresholds for each component are necessary. Only a few large-scale studies among East Asians have addressed the ability of MetS to predict cardiovascular disease. METHODS: We analyzed the data of 330,051 men and 235,028 women aged 18-74 years with no history of coronary artery disease (CAD) or cerebrovascular disease (CVD) from a nationwide Japanese claims database accumulated during 2008-2016. The association of each MetS component with CAD or CVD (CAD/CVD), MetS associated with CAD/CVD according to various criteria, and utility of modified criteria with more specific optimal values for each component were examined using multivariate Cox regression and receiver operating characteristic (ROC) analysis. RESULTS: During the study, 3,934 men (1.19%) and 893 women (0.38%) developed CAD/CVD. For each current MetS criteria, there was a 1.3- to 2.9-fold increased risk of CAD/CVD. Optimal thresholds for predicting CAD/CVD were WCs of 83 and 77 cm, triglycerides levels of 130 and 90 mg/dl, high-density lipoprotein cholesterol levels of 50 and 65 mg/dl, blood pressures of 130/80 and 120/80 mmHg, and fasting plasma glucose levels of 100 and 90 mg/dl for men and women, respectively. The existing MetS criteria and modified criteria were not significantly different in predicting CAD/CVD, but using the modified criteria markedly increased the prevalence of MetS and percentage of people with MetS developing CAD/CVD. CONCLUSIONS: Although various criteria for MetS similarly predicted CAD/CVD, the new criteria greatly reduced the number of high-risk individuals, especially women, overlooked by the current criteria.

DOI： 10.5551/jat.64380

PubMed

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Language：Japanese   Publisher：(公社)日本栄養・食糧学会  

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Language：Japanese   Publisher：(一社)日本糖尿病学会  

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Language：Japanese   Publisher：(一社)日本糖尿病学会  

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Language：Japanese   Publisher：(公社)日本栄養・食糧学会  

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Publishing type：Research paper (scientific journal)  

DOI： 10.11005/jbm.2024.31.1.21

Scopus

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Language：Japanese   Publisher：(一社)日本糖尿病・妊娠学会  

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Language：Japanese   Publisher：(一社)日本糖尿病・妊娠学会  

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Language：Japanese   Publisher：(一社)日本糖尿病・妊娠学会  

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Language：Japanese   Publisher：(一社)日本糖尿病合併症学会  

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Language：English   Publishing type：Research paper (scientific journal)  

AIMS: To determine the association between the magnitude of weight loss and incidence of remission according to baseline characteristics in patients with diabetes in clinical settings. METHODS: In total, 39 676 Japanese patients with type 2 diabetes aged ≥18 years with glycated haemoglobin (HbA1c) ≥6.5% and/or glucose-lowering drug prescription were identified from databases of specialists' clinics from 1989 and followed until September 2022. Remission was diagnosed as maintaining HbA1c <6.5% at least 3 months after cessation of a glucose-lowering drug. Factors associated with remission were evaluated by logistic regression analysis according to weight change in 1 year (i.e. ≥10%, 7.0-9.9%, 3.0-6.9% reduction, <3% change and ≥3.0% increase). RESULTS: During the study period, 3454 remissions occurred. The rates of remission were higher in the group with the greatest reduction of body mass index (BMI) in any category examined (i.e. baseline BMI, HbA1c, duration of diabetes and treatment). The incidences of remission per 1000 person-years were about 25 and 50, respectively, for those with BMI ≥22.5 and reductions in BMI of 7.0-9.9% and ≥10% in 1 year. Remissions per 1000 person-years were 99.2 and 91.8, respectively, for those with baseline HbA1c of 6.5-6.9 and a 10% BMI reduction and those not taking glucose-lowering drugs accompanied by a 10% BMI reduction. CONCLUSIONS: Modest weight losses of 3.0-7.9% were significantly associated with remission, but a minimum of 10% weight loss would be required in addition to an early diagnosis to achieve a 10% remission rate in clinical settings. Our results implied that remission may be expected with a relatively lower BMI in an Asian population compared with that was reported in Western populations if accompanied by weight loss.

DOI： 10.1111/dom.15206

PubMed

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Language：English   Publishing type：Research paper (scientific journal)  

INTRODUCTION: Low serum amylase values are cross-sectionally associated with the prevalence of type 2 diabetes mellitus (T2DM) but have not been shown to be longitudinally associated with its incidence. This retrospective cohort (ie, historical cohort) study aimed to examine the association of previously lowered levels of serum amylase with incident T2DM. RESEARCH DESIGN AND METHODS: Examined were 8316 individuals who had annual health examinations for 6 years (ie, 7 times) at the Toranomon Hospital Health Management Center. The trajectory of serum amylase as the study exposure was classified into two elements: (1) serum amylase level at entry and (2) change in serum amylase, which was expressed as the annual change rate. The annual change rate was calculated by dividing the change in the amylase values according to follow-up periods. Regression analyses were performed to examine the association between low and decreased levels of serum amylase and the incidence of T2DM. RESULTS: Analyzed were 6917 individuals who had not developed T2DM within 1 year after cohort entry. T2DM thereafter occurred in 1021 patients. Cox regression indicated that the adjusted HR (95% CI) for incident T2DM for amylase ≤57 IU/L (quintile (Q) 1) was 0.97 (0.84 to 1.13) compared with amylase ≥58 IU/L (Q2-Q5). Logistic regression indicated that the adjusted OR (95% CI) for an annual change rate of amylase ≤-2.0% (Q1) vs ≥-1.9% (Q2-Q5) was 3.53 (3.00 to 4.16). The adjusted ORs were consistently significant throughout sensitivity analyses according to baseline amylase and the combination of age, body mass index, and hemoglobin A1c. CONCLUSIONS: Results showed that not low but previously decreased serum amylase was a risk factor for T2DM, suggesting the significance of periodic examinations of serum amylase values to detect individuals at high risk of T2DM.

DOI： 10.1136/bmjdrc-2023-003482

PubMed

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Publishing type：Research paper (scientific journal)   Publisher：American Diabetes Association  

Although DR are important in managing diabetes, the traditional method, such as weighing foods and calculating nutrients, is burdensome to both patients and medical care providers. Although photo DR with smartphones using AI to identify the dish and calculate nutrients can be expected to reduce this burden, accuracy not been clarified. Furthermore, it is not clear to what extent accuracy improves when users and dietitians adjust the name of the dish and the portion consumed compared with AI only. In this study, photo DR taken with the smartphone app were analyzed by AI only, then adjusted by the users followed by further adjustments by a dietitian. We compared the nutrients calculated by AI, users, and dietitians to those by the traditional weighing method. Analyzed were 180 participants (mean age 58.7 y, BMI 26.7 kg/m2, 94/86 women/men, 22 with diabetes, energy intake [EI] 1640 kcal/day) The EIs (kcal/day) were calculated as 1502, 1619, and 1674 for AI, users, and dietitians, respectively, those were lower than that with the weighing method Spearman's rank correlation coefficients compared to the weighing method were 0.48, 0.88, and 0.88 for AI, users and dietitians, respectively, showing a weak correlation for AI and a strong correlation for users and dietitians. The user's adjustments greatly improved accuracy without increasing the burden on the dietitians.

<p></p> Disclosure

M.Kitazawa: None. H.Sone: Research Support; Novo Nordisk, Astellas Pharma Inc., Kyowa Kirin Co., Ltd., Taisho Pharmaceutical Holdings Co., Ltd., Ono Pharmaceutical Co., Ltd., Eisai Co., Ltd., Takeda Pharmaceutical Co., Ltd. C.Horikawa: None. I.Ikeda: None. Y.Takeda: None. E.D.Ferreira: None. M.Takeuchi: None. S.Y.Morikawa: None. K.Fujihara: None. S.Kodama: None.

Funding

Grants-in-Aid for Scientific Research (21K17637)

DOI： 10.2337/db23-329-or

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Language：English   Publishing type：Research paper (scientific journal)  

AIMS: To determine the incidence of remission and 1-year relapse from remission and associated factors in patients with type 2 diabetes. MATERIALS AND METHODS: A total of 48 320 Japanese patients with type 2 diabetes aged ≥18 years, with glycated haemoglobin (HbA1c) levels ≥48 mmol/mol (6.5%) and/or glucose-lowering drug prescription, were identified from databases of specialist clinics from 1989 and followed until September 2022. Remission was defined as HbA1c <48 mmol/mol at least 3 months after cessation of a glucose-lowering drug. Relapse was defined as failure to maintain remission for 1 year. Factors associated with remission and relapse were evaluated by logistic regression analysis. RESULTS: The overall incidence of remissions per 1000 person-years was 10.5, and for those with HbA1c levels of 48 to 53 mmol/mol (6.5% to 6.9%), those taking no glucose-lowering drugs at baseline, and those with a ≥10% body mass index (BMI) reduction in 1 year, it was 27.8, 21.7 and 48.2, respectively. Shorter duration, lower baseline HbA1c, higher baseline BMI, higher BMI reduction at 1 year, and no glucose-lowering drugs at baseline were significantly associated with remission. Among 3677 persons with remission, approximately two-thirds (2490) relapsed within 1 year. Longer duration, lower BMI at baseline, and lower BMI reduction at 1 year were significantly associated with relapse. CONCLUSIONS: The results showed that the incidence of remission and predictors of relapse, especially baseline BMI, might differ greatly between East Asian and Western populations. Furthermore, the relationships of BMI reduction with remission and relapse may be greater in East Asian than in Western populations, implying ethnic differences in returning from overt hyperglycaemia to nearly normal glucose levels.

DOI： 10.1111/dom.15100

PubMed

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Language：English  

DOI： 10.1177/10815589221149188

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Language：Japanese   Publisher：(一社)日本糖尿病学会  

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Language：Japanese   Publisher：(一社)日本糖尿病学会  

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Language：English   Publishing type：Research paper (scientific journal)  

We developed a new Physical Score (PS) consisting of comprehensive physical fitness indicators and elucidated the association between the resultant PS and metabolic diseases, i.e., diabetes, hypertension, dyslipidemia, fatty liver, and metabolic syndrome (MetS), among Japanese. Analyzed were 49,850 persons (30,039 men) aged 30 to 69 y who underwent physical fitness tests. Principal component analysis was performed on the correlation matrix of the physical fitness test results (relative grip strength, single-leg balance with eyes closed, and forward bending) according to sex and age. We defined the PS as the first principal component score. A formula was developed for various age groups comprised of men and women from 30 to 69 years of age from which the PS for each age and sex was calculated. The PS for both men and women was normally distributed with a value of 0 ± 1.15-1.16. Multivariate logistic regression analysis showed that the risk of metabolic diseases increased approximately 1.1-1.6 times per each 1-point reduction in the PS. The association between PS and MetS was particularly strong in that a 1-point reduction in the PS increased the risk of MetS by 1.54 times (95% confidence interval 1.46 to 1.62) in men and by 1.21 times (1.15 to 1.28) in women. The association between a lower PS and disease risk was stronger in younger men for fatty liver and in older men for MetS. Conversely, in women, the association between a lower PS and disease risk was stronger in older women for fatty liver and in younger women for MetS. For diabetes, hypertension, and dyslipidemia, the change in the impact of PS reductions across age groups was small. The PS is a useful and simple non-invasive tool for screening Japanese people for metabolic diseases.

DOI： 10.52082/jssm.2023.98

PubMed

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Publishing type：Research paper (scientific journal)   Publisher：Ovid Technologies (Wolters Kluwer Health)  

DOI： 10.1097/hjh.0000000000003362

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AIMS: To determine the associations between combined urinary protein (UP) and a reduced estimated glomerular filtration rate (eGFR) and the risk of starting dialysis with or without diabetes mellitus (DM). METHODS: A nationwide database with claims data on 335,778 people with and without DM aged 19-72 years in Japan was used to elucidate the impact of the severities of UP and eGFR on starting dialysis. Initiation of dialysis was determined from claims using ICD-10 codes and medical procedures. Using multivariate Cox modeling, we investigated the severities of UP and eGFR to predict the initiation of dialysis with and without DM. RESULTS: Both eGFR < 60 and UP(+) were independent predictors for starting dialysis with and without DM, and their values exhibited a synergistic risk of dialysis. eGFR < 60 presented a nearly twofold risk for starting dialysis compared to UP(+) regardless of DM. Risk of starting dialysis was increased with UP(+) and eGFR ≥ 60 accompanied by DM although this association was not observed without DM. Those who had UP(-) and eGFR < 60 had a high risk of starting dialysis regardless of DM. Compared with DM(-)UP(-)eGFR ≥ 60, HRs for starting dialysis for DM(+)UP(+)eGFR ≥ 60, DM(+)UP(-)eGFR < 60 and DM(+)UP(+)eGFR < 60 significantly increased 17.7 (10.6-29.7), 25.5 (13.8-47.1) and 358.1 (239.1-536.5) times, respectively. CONCLUSIONS: eGFR < 60 and UP(+) together presented an extremely high risk of dialysis especially with DM. UP( +) increased the risk of starting dialysis regardless of the eGFR with DM. Both patient education and a treatment strategy by physicians might be helpful to avoid the progression of renal failure.

DOI： 10.1007/s13340-022-00603-z

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BACKGROUND: Obesity is an established risk factor for non-communicable diseases such as type 2 diabetes mellitus, hypertension and cardiovascular disease. Thus, weight control is a key factor in the prevention of non-communicable diseases. A simple and quick method to predict weight change over a few years could be helpful for weight management in clinical settings. METHODS: We examined the ability of a machine learning model that we constructed to predict changes in future body weight over 3 years using big data. Input in the machine learning model were three-year data on 50,000 Japanese persons (32,977 men) aged 19-91 years who underwent annual health examinations. The predictive formulas that used heterogeneous mixture learning technology (HMLT) to predict body weight in the subsequent 3 years were validated for 5,000 persons. The root mean square error (RMSE) was used to evaluate accuracy compared with multiple regression. RESULTS: The machine learning model utilizing HMLT automatically generated five predictive formulas. The influence of lifestyle on body weight was found to be large in people with a high body mass index (BMI) at baseline (BMI ≥29.93 kg/m2) and in young people (<24 years) with a low BMI (BMI <23.44 kg/m2). The RMSE was 1.914 in the validation set which reflects ability comparable to that of the multiple regression model of 1.890 (p = 0.323). CONCLUSION: The HMLT-based machine learning model could successfully predict weight change over 3 years. Our model could automatically identify groups whose lifestyle profoundly impacted weight loss and factors the influenced body weight change in individuals. Although this model must be validated in other populations, including other ethnic groups, before being widely implemented in global clinical settings, results suggested that this machine learning model could contribute to individualized weight management.

DOI： 10.3389/fpubh.2023.1090146

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Language：Japanese   Publisher：(一社)日本糖尿病合併症学会  

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BACKGROUND AND OBJECTIVES: To clarify whether the presence or absence of fast walking and habitual physical activity are independently associated with the incidence of functional disability. METHODS: This historical cohort study was comprised of 9,652 (4,412 men, mean age 65 years) individuals aged 39-98 years without functional disability at baseline. Functional disability was determined based on the Japanese long-term care insurance system, which specified requirements for assistance in the activities of daily living. The impact of fast walking and habitual physical activity on the incidence of functional disability was analysed by Cox proportional hazards models. RESULTS: The follow-up period was a median of 3.7 years during which 165 patients were newly certified as having functional disability. In the multivariate analysis, baseline age in 5-year increments (hazard ratio 2.42 [95% confidence interval 2.18-2.69]), no habitual physical activity (1.56 [1.07-2.27]), and not fast walking (1.89 [1.32-2.69]) significantly increased the risk of functional disability after adjustment for covariates. The stratified analysis showed that compared with physical activity (+), the impact of physical activity (-) on the incidence of functional disability was observed in those aged ≥75 years regardless of fast walking (+). Fast walking (-) significantly increased the risk of disability compared with fast walking (+) in those aged <75 years regardless of a physical activity habit. CONCLUSION: In Japanese, slow walking speed and lack of a physical activity habit were shown to be independent risk factors for incident functional disability, with their impact differing according to age.

DOI： 10.1093/fampra/cmac087

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Language：Japanese   Publisher：(一社)日本動脈硬化学会  

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BACKGROUND: To determine the impact of metabolic syndrome (MetS) and/or metabolic dysfunction-associated fatty liver disease (MAFLD), which are pathophysiologically similar and include insulin resistance, on the development of new-onset cardiovascular disease with and without type 2 diabetes and according to sex. METHODS: This study included 570,426 individuals without a history of cardiovascular disease who were enrolled in a nationwide claims database from 2008 to 2016 and were classified by the presence or absence of MetS and/or MAFLD stratified by the presence or absence of type 2 diabetes and sex. The fatty liver index was used to determine the presence or absence of fatty liver that required a diagnosis of MAFLD. Risks of developing coronary artery disease (CAD) and cerebrovascular disease (CVD) in each category were analyzed using a multivariate Cox proportional hazard model. RESULTS: During a median follow-up of 5.2 years, 2252 CAD and 3128 CVD events occurred. Without type 2 diabetes the hazard ratio (HR) (95% CI) for CAD/CVD compared with neither MAFLD nor MetS was 1.32 (1.17-1.50)/1.41(1.28-1.57) for MAFLD only (without MetS), 1.78 (1.22-2.58)/1.66 (1.34-2.06) for MetS only (without MAFLD), and 2.10 (1.84-2.39)/1.73 (1.54-1.95) for MAFLD + MetS. For those with type 2 diabetes, the HR for CAD for MAFLD only (compared with neither MAFLD nor MetS) was 1.29 (1.06-1.58), for MetS only 1.34 (0.84-2.13), and for MAFLD + MetS 1.22 (1.02-1.47). For CVD, there was a significant increase in HR only in MAFLD + MetS [1.44 (1.18-1.76)]. The results of the analysis stratified by sex showed that MAFLD had a greater impact in men, and MetS had a greater impact in women regarding the development of CAD. CONCLUSIONS: Distinguishing between MetS and/or MAFLD in the presence or absence of type 2 diabetes and according to sex may aid in accurately identifying patients at high risk of cardiovascular disease.

DOI： 10.1186/s12933-022-01518-4

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Language：Japanese   Publisher：(一社)日本糖尿病学会  

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Language：Japanese   Publisher：(一社)日本内分泌学会  

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Language：Japanese   Publisher：(一社)日本糖尿病学会  

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Language：Japanese   Publisher：(一社)日本疫学会  

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Language：Japanese   Publisher：(一社)日本疫学会  

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Language：English   Publishing type：Research paper (scientific journal)  

AIMS/INTRODUCTION: Recently, an increasing number of cohort studies have suggested using machine learning (ML) to predict type 2 diabetes mellitus. However, its predictive ability remains inconclusive. This meta-analysis evaluated the current ability of ML algorithms for predicting incident type 2 diabetes mellitus. MATERIALS AND METHODS: We systematically searched longitudinal studies published from 1 January 1950 to 17 May 2020 using MEDLINE and EMBASE. Included studies had to compare ML's classification with the actual incidence of type 2 diabetes mellitus, and present data on the number of true positives, false positives, true negatives and false negatives. The dataset for these four values was pooled with a hierarchical summary receiver operating characteristic and a bivariate random effects model. RESULTS: There were 12 eligible studies. The pooled sensitivity, specificity, positive likelihood ratio and negative likelihood ratio were 0.81 (95% confidence interval [CI] 0.67-0.90), 0.82 [95% CI 0.74-0.88], 4.55 [95% CI 3.07-6.75] and 0.23 [95% CI 0.13-0.42], respectively. The area under the summarized receiver operating characteristic curve was 0.88 (95% CI 0.85-0.91). CONCLUSIONS: Current ML algorithms have sufficient ability to help clinicians determine whether individuals will develop type 2 diabetes mellitus in the future. However, persons should be cautious before changing their attitude toward future diabetes risk after learning the result of the diabetes prediction test using ML algorithms.

DOI： 10.1111/jdi.13736

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PURPOSE: Our purpose in the research was to clarify the impact of medication adherence to oral hypoglycemic agents during a 1-year period and subsequent glycemic control on the risk of micro- and macrovascular diseases. METHODS: Examined was a nationwide claims database on 13,256 individuals with diabetic eye disease without requiring prior treatment, 7,862 without prior initiation of dialysis, 15,556 without prior coronary artery disease, 16,243 without prior cerebrovascular disease, and 19,386 without prior heart failure from 2008 to 2016 in Japan. Medication adherence was evaluated by the proportion of days covered. Patients were considered to have poor adherence if the proportion of days covered was <80%. Multivariate Cox regression model identified risks of micro- and macrovascular diseases. RESULTS: In each group, mean age was 53 to 54 years, HbA1c was 7.1% to 7.2%, and median follow-up period was 4.6 to 5.1 years, and the percentage of poor adherence was approximately 30%. During the study period, 532 treatment-requiring diabetic eye disease, 75 dialysis, 389 coronary artery disease, 316 cerebrovascular disease, and 144 heart failure events occurred. Multivariate Cox regression model revealed that the hazard ratio (95% confidence interval) of dialysis in the poor adherence group was 2.04 (1.27-3.30) compared with the good adherence group. The hazard ratios in the poor adherence/poor glycemic control group were 3.34 (2.63-4.24) for treatment-requiring diabetic eye disease, 4.23 (2.17-8.26) for dialysis, 1.69 (1.23-2.31) for coronary artery disease, and 2.08 (1.25-3.48) for heart failure compared with the good adherence/good glycemic control group. CONCLUSIONS: Poor medication adherence was an independent risk factor for the initiation of dialysis, suggesting that clinicians must pay close attention to these patients.

DOI： 10.1016/j.amjmed.2021.10.018

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It is unclear whether genetic interactions are involved in the association between vegetable intake and reduced body mass index (BMI) or obesity. We conducted a comprehensive search for single nucleotide polymorphisms (SNPs) which are associated with the interaction between vegetable intake frequency and BMI or obesity. We performed a genome-wide association analysis to evaluate the genetic interactions between self-reported intake of vegetables such as carrot, broccoli, spinach, other green vegetables (green pepper and green beans), pumpkin, and cabbage with BMI and obesity, which is defined as a BMI ≥ 25.0 kg/m2 in the Japanese population (n = 12,225). The mean BMI and prevalence of obesity was 23.9 ± 3.4 kg/m2 and 32.3% in men and 22.1 ± 3.8 kg/m2 and 17.3% in in women, respectively. A significant interaction was observed between rs4445711 and frequency of carrot intake on BMI (p = 4.5 × 10-8). This interaction was slightly attenuated after adjustment for age, sex, alcohol intake, smoking, physical activity and the frequency of total vegetable intake (p = 2.1 × 10-7). A significant interaction was also observed between rs4445711 and frequency of carrot intake on obesity (p = 2.5 × 10-8). No significant interactions that were the same as the interaction between frequency of carrot intake and rs4445711 were observed between the intake frequency of broccoli, spinach, other green vegetables, pumpkin or cabbage and BMI or obesity. The frequency of carrot consumption is implicated in reducing BMI by the intermediary of rs4445711. This novel genetic association may provide new clues to clarify the association between vegetable intake and BMI or obesity.

DOI： 10.3390/nu13103478

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Language：Japanese   Publisher：(一社)日本糖尿病合併症学会  

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Language：Japanese   Publisher：(一社)日本糖尿病合併症学会  

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Authorship：Corresponding author   Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1038/s41440-021-00632-2

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DOI： 10.1038/s41440-021-00645-x

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Publishing type：Research paper (scientific journal)   Publisher：American Diabetes Association  

DOI： 10.2337/dc20-2252

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BACKGROUND: The prevalence of diabetes is rising, and diabetes develops at a younger age in East Asia. Although lower limb amputation negatively affects quality of life and increases the risk of cardiovascular events, little is known about the rates and predictors of amputation among persons with diabetes from young adults to those in the "young-old" category (50-72 y). METHODS: We analyzed data from a nationwide claims database in Japan accumulated from 2008 to 2016 involving 17,288 people with diabetes aged 18-72 y (mean age 50.2 y, HbA1c 7.2%). Amputation occurrence was determined according to information from the claims database. Cox regression model identified variables related to lower limb amputation. RESULTS: The mean follow-up time was 5.3 years, during which time 16 amputations occurred (0.17/1000 person-years). Multivariate Cox regression analysis showed that age (hazard ratio [HR] 1.09 [95% confidence intervals] 1.02-1.16, p = 0.01) and HbA1c (HR 1.46 [1.17-1.81], p < 0.01) were independently associated with amputations. Compared with those aged < 60 years with HbA1c < 8.0%, the HR for amputation was 27.81 (6.54-118.23) in those aged ≥60 years and HbA1c ≥8.0%. CONCLUSIONS: Age and HbA1c were associated with amputations among diabetic individuals, and the rates of amputation were significantly greater in those ≥60 years old and with HbA1c ≥8.0%.

DOI： 10.1186/s13047-021-00474-8

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Publishing type：Research paper (scientific journal)   Publisher：Wiley  

DOI： 10.1002/pds.5213

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Other Link： https://onlinelibrary.wiley.com/doi/full-xml/10.1002/pds.5213

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To determine associations between severity of hypertension and risk of starting dialysis in the presence or absence of diabetes mellitus (DM). A nationwide database with claims data on 258 874 people with and without DM aged 19-72 years in Japan was used to elucidate the impact of severity of hypertension on starting dialysis. Initiation of dialysis was determined from claims using International Classification of Diseases-10 codes and medical procedures. Using multivariate Cox modeling, we investigated the severity of hypertension to predict the initiation of dialysis with and without DM. Hypertension was significantly associated with the initiation of dialysis regardless of DM. The incidence of starting dialysis in those with systolic blood pressure (SBP) ≤119 mm Hg and DM (DM+) was almost the same as in those with SBP ≥150 mm Hg and absence of DM (DM-). In comparison with SBP ≤119 mm Hg, SBP ≥150 mm Hg significantly increased the risk of the initiation of dialysis about 2.5 times regardless of DM+ or DM-. Compared with DM- and SBP ≤119 mm Hg, the HR for DM+ and SBP ≥150 mm Hg was 6.88 (95% CI 3.66 to 12.9). Although the risks of hypertension differed only slightly regardless of the presence or absence of DM, risks for starting dialysis with DM+ and SBP ≤119 mm Hg were equivalent to DM- and SBP ≥150 mm Hg, indicating more strict blood pressure interventions in DM+ are needed to avoid dialysis. Future studies are required to clarify the cut-off SBP level to avoid initiation of dialysis considering the risks of strict control of blood pressure.

DOI： 10.1136/jim-2020-001489

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Language：Japanese   Publisher：(一社)日本内科学会  

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BACKGROUND: Machine learning (ML) algorithms have been widely introduced to diabetes research including those for the identification of hypoglycemia. OBJECTIVE: The objective of this meta-analysis is to assess the current ability of ML algorithms to detect hypoglycemia (ie, alert to hypoglycemia coinciding with its symptoms) or predict hypoglycemia (ie, alert to hypoglycemia before its symptoms have occurred). METHODS: Electronic literature searches (from January 1, 1950, to September 14, 2020) were conducted using the Dialog platform that covers 96 databases of peer-reviewed literature. Included studies had to train the ML algorithm in order to build a model to detect or predict hypoglycemia and test its performance. The set of 2 × 2 data (ie, number of true positives, false positives, true negatives, and false negatives) was pooled with a hierarchical summary receiver operating characteristic model. RESULTS: A total of 33 studies (14 studies for detecting hypoglycemia and 19 studies for predicting hypoglycemia) were eligible. For detection of hypoglycemia, pooled estimates (95% CI) of sensitivity, specificity, positive likelihood ratio (PLR), and negative likelihood ratio (NLR) were 0.79 (0.75-0.83), 0.80 (0.64-0.91), 8.05 (4.79-13.51), and 0.18 (0.12-0.27), respectively. For prediction of hypoglycemia, pooled estimates (95% CI) were 0.80 (0.72-0.86) for sensitivity, 0.92 (0.87-0.96) for specificity, 10.42 (5.82-18.65) for PLR, and 0.22 (0.15-0.31) for NLR. CONCLUSIONS: Current ML algorithms have insufficient ability to detect ongoing hypoglycemia and considerate ability to predict impeding hypoglycemia in patients with diabetes mellitus using hypoglycemic drugs with regard to diagnostic tests in accordance with the Users' Guide to Medical Literature (PLR should be ≥5 and NLR should be ≤0.2 for moderate reliability). However, it should be emphasized that the clinical applicability of these ML algorithms should be evaluated according to patients' risk profiles such as for hypoglycemia and its associated complications (eg, arrhythmia, neuroglycopenia) as well as the average ability of the ML algorithms. Continued research is required to develop more accurate ML algorithms than those that currently exist and to enhance the feasibility of applying ML in clinical settings. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42020163682; http://www.crd.york.ac.uk/PROSPERO/display_record.php?ID=CRD42020163682.

DOI： 10.2196/22458

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BACKGROUND: Applications of machine learning for the early detection of diseases for which a clear-cut diagnostic gold standard exists have been evaluated. However, little is known about the usefulness of machine learning approaches in the decision-making process for decisions such as insulin initiation by diabetes specialists for which no absolute standards exist in clinical settings. OBJECTIVE: The objectives of this study were to examine the ability of machine learning models to predict insulin initiation by specialists and whether the machine learning approach could support decision making by general physicians for insulin initiation in patients with type 2 diabetes. METHODS: Data from patients prescribed hypoglycemic agents from December 2009 to March 2015 were extracted from diabetes specialists' registries, resulting in a sample size of 4860 patients who had received initial monotherapy with either insulin (n=293) or noninsulin (n=4567). Neural network output was insulin initiation ranging from 0 to 1 with a cutoff of >0.5 for the dichotomous classification. Accuracy, recall, and area under the receiver operating characteristic curve (AUC) were calculated to compare the ability of machine learning models to make decisions regarding insulin initiation to the decision-making ability of logistic regression and general physicians. By comparing the decision-making ability of machine learning and logistic regression to that of general physicians, 7 cases were chosen based on patient information as the gold standard based on the agreement of 8 of the 9 specialists. RESULTS: The AUCs, accuracy, and recall of logistic regression were higher than those of machine learning (AUCs of 0.89-0.90 for logistic regression versus 0.67-0.74 for machine learning). When the examination was limited to cases receiving insulin, discrimination by machine learning was similar to that of logistic regression analysis (recall of 0.05-0.68 for logistic regression versus 0.11-0.52 for machine learning). Accuracies of logistic regression, a machine learning model (downsampling ratio of 1:8), and general physicians were 0.80, 0.70, and 0.66, respectively, for 43 randomly selected cases. For the 7 gold standard cases, the accuracies of logistic regression and the machine learning model were 1.00 and 0.86, respectively, with a downsampling ratio of 1:8, which were higher than the accuracy of general physicians (ie, 0.43). CONCLUSIONS: Although we found no superior performance of machine learning over logistic regression, machine learning had higher accuracy in prediction of insulin initiation than general physicians, defined by diabetes specialists' choice of the gold standard. Further study is needed before the use of machine learning-based decision support systems for insulin initiation can be incorporated into clinical practice.

DOI： 10.2196/22148

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PURPOSE: This network meta-analysis aimed to assess the current efficacy of decreasing the uric acid (UA) level with drugs to reduce mortality in patients with heart failure (HF). METHODS: Electronic literature searches using EMBASE and MEDLINE of studies published from 1 Jan 1950 to 26 Dec 2019 were conducted for randomized controlled trials or non-randomized cohort studies that included at least one group of patients who took UA-lowering drugs and with a study outcome of all-cause mortality. A random-effects network meta-analysis was performed within a frequentist framework. Hierarchy of treatments was expressed as the surface under the cumulative ranking curve (SUCRA) value, which is in proportion to mean rank (best is 100%). RESULTS: Nine studies, which included seven different types of groups, were eligible for analysis. The "untreated uricemia" group in which patients had hyperuricemia but without treatment had a significantly higher risk of mortality than the "no uricemia" group in which patients had no hyperuricemia (relative risk (RR)(95% confidence interval (CI), 1.43 (1.08-1.89)). The "start-allo" group wherein patients started to take allopurinol did not have a significantly lower risk of mortality than the "untreated uricemia" group (RR (95% CI), 0.68 (0.45-1.01)). However, in the "start-allo" group the SUCRA value was comparable to that in the "no uricemia" group (SUCRA: 65.4% for "start-allo"; 64.1% for "no uricemia"). CONCLUSIONS: Results suggested that allopurinol therapy was not associated with a significantly improved prognosis in terms of mortality but could potentially counteract the adverse effects associated with longstanding hyperuricemia in HF patients.

DOI： 10.1007/s10557-020-07097-4

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Despite mounting evidence of the positive relationship between diabetes mellitus (DM) and heart failure (HF), the entire context of the magnitude of risk for HF in relation to DM remains insufficiently understood. The principal reason is because new-onset HF (HF occurring in participants without a history of HF) and recurrent HF (HF re-occurring in patients with a history of HF) are not discriminated. This meta-analysis aims to comprehensively and separately assess the risk of new-onset and recurrent HF depending on the presence or absence of DM. We systematically searched cohort studies that examined the relationship between DM and new-onset or recurrent HF using EMBASE and MEDLINE (from 1 Jan 1950 to 28 Jul 2019). The risk ratio (RR) for HF in individuals with DM compared with those without DM was pooled with a random-effects model. Seventy-four and 38 eligible studies presented data on RRs for new-onset and recurrent HF, respectively. For new-onset HF, the pooled RR [95% confidence interval (CI)] of 69 studies that examined HF as a whole [i.e. combining HF with preserved ejection fraction (HFpEF) and HF with reduced ejection fraction (HFrEF)] was 2.14 (1.96-2.34). The large between-study heterogeneity (I2 = 99.7%, P < 0.001) was significantly explained by mean age [pooled RR (95% CI) 2.60 (2.38-2.84) for mean age < 60 years vs. pooled RR (95% CI) 1.95 (1.79-2.13) for mean age ≥ 60 years] (P < 0.001). Pooled RRs (95% CI) of seven and eight studies, respectively, that separately examined HFpEF and HFrEF risk were 2.22 (2.02-2.43) for HFpEF and 2.73 (2.71-2.75) for HFrEF. The risk magnitudes between HFpEF and HFrEF were not significantly different in studies that examined both HFpEF and HFrEF risks (P = 0.86). For recurrent HF, pooled RR (95% CI) of the 38 studies was 1.39 (1.33-1.45). The large between-study heterogeneity (I2 = 80.1%, P < 0.001) was significantly explained by the proportion of men [pooled RR (95% CI) 1.53 (1.40-1.68) for < 65% men vs. 1.32 (1.25-1.39) for ≥65% men (P = 0.01)] or the large pooled RR for studies of only participants with HFpEF [pooled RR (95% CI), 1.73 (1.32-2.26) (P = 0.002)]. Results indicate that DM is a significant risk factor for both new-onset and recurrent HF. It is suggested that the risk magnitude is large for new-onset HF especially in young populations and for recurrent HF especially in women or individuals with HFpEF. DM is associated with future HFpEF and HFrEF to the same extent.

DOI： 10.1002/ehf2.12782

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Language：Japanese   Publisher：(一社)日本糖尿病学会  

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AIM AND OBJECTIVE: Insulin-induced moderate or severe hypoglycemia (MH or SH) impairs cognition and SH causes neuronal death. On the contrary, alternate day fasting (ADF) protects the brain during excitotoxic stress and improves cognitive function. Unlike the scenario in the periphery, insulin and its relationship towards brain glucose uptake and metabolism are considered to be less significant. Yet, the hypoglycemia associated brain metabolism is not clearly understood. The authors broadly investigated the brain metabolism in various hypoglycemic models such as insulin-induced MH, SH, SH with glucose reperfusion, 24 h fasting and ADF in the cortex or hippocampus of C57BL6/J mice. The authors analyzed the protein expression of insulin signaling kinases (plays a key role in neuronal survival and memory), Bcl-2 associated death promoter (p-BADser155) (dephosphorylation inhibits glucokinase activity and reduces glucose or increases ketone body metabolism in the brain), neuronal-specific glucose transporter 3 (GLUT 3) and nitrotyrosine (marker of nitric oxide which is involved in neuronal glucose uptake via GLUT 3) using western blotting analysis. RESULTS: Insulin-induced MH or SH differentially regulated the brain insulin signaling kinases. The expression of p-BADser155 decreased in all hypoglycemic models except the insulin-induced MH in hippocampus. The trended higher GLUT 3 and increased nitrotyrosine expression of insulin-induced SH were restored after glucose reperfusion. The trended higher or increased GLUT 3 and nitrotyrosine expression of ADF were positively correlated with serum beta-hydroxybutyrate levels. CONCLUSION: During hypoglycemia, it can be suggested that the brain might decrease glucose metabolism via glycolysis or prefer ketone body metabolism (except the insulin-induced MH in hippocampus) by modifying the p-BADser155 expression. In addition to the ketone body metabolism, the brain might adapt to uptake glucose in insulin-induced SH or ADF by modifying the GLUT 3 or nitrotyrosine expression.

DOI： 10.1016/j.neuint.2020.104745

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Language：Japanese   Publisher：(一社)日本動脈硬化学会  

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AIMS: Little is known about the relationship between medication adherence for oral hypoglycemic agents (OHAs) and glycemic control after adjusting healthy adherer effect in large scale study. Thus, adjusting for health-related behaviors, we investigated the clinical variables associated with medication adherence and the relationship between medication adherence and glycemic control using a large claims database. METHODS: Analyzed were 8805 patients with diabetes whose medication records for OHA were available for at least 1year. Medication adherence was evaluated by the proportion of days covered (PDC). Multivariate logistic regression model was used to identify clinical variables significantly associated with non-adherence. Multiple regression analysis evaluated the relationship between PDC and HbA1c after adjusting for health-related behaviors. RESULTS: Mean PDC was 80.1% and 32.8% of patients were non-adherence. Logistic analysis indicated that older age and taking concomitant medications were significantly associated with adherence while skipping breakfast (odds ratio 0.66 [95% CI 0.57-0.76]), late-night eating (0.86 [0.75-0.98]), and current smoking (0.89 [0.80-0.99]) were significantly associated with non-adherence. CONCLUSIONS: Skipping breakfast, late-night eating and current smoking were significantly associated with medication adherence, suggesting that clinicians pay attention to those health-related behaviors to achieve good medication adherence.

DOI： 10.1016/j.pcd.2020.05.002

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OBJECTIVE: Declining healthy life expectancy due to functional disability is relevant and urgent because of its association with decreased quality of life and also for its enormous socioeconomic impact. The aim of this study is to examine the impact of diabetes, hypertension, dyslipidemia and physical activity habits on functional disability among community-dwelling Japanese adults. RESEARCH DESIGN AND METHODS: This is a population-based retrospective cohort study including 9673 people aged 39-98 years in Japan (4420, men). Functional disability was defined as a condition meeting Japan's new long-term care insurance certification requirements for the need of assistance in the activities of daily living whether by caregivers or assistive devices. Cox proportional-hazards regression model identified variables related to functional disability. RESULTS: Median follow-up was 3.7 years. During the study period, 165 disabilities occurred in the overall study population. Multivariate analysis showed that diabetes (HR 1.74 (95% CI 1.12 to 2.68)) and no physical activity habit (HR 1.83 (1.27 to 2.65)) presented increased risks for disability. HR for disability increased with the number of risk factors (HR of individuals with four conditions, 3.96 (1.59 to 9.99) vs individuals with none of those conditions as a reference). HR for disability among patients with diabetes with and without a physical activity habit was 1.68 (0.70 to 4.04) and 3.19 (1.79 to 5.70), respectively, compared with individuals without diabetes with a physical activity habit. CONCLUSIONS: The combination of diabetes and lack of habitual physical activity is predictive of functional disability in Japanese. Habitual physical activity attenuates the risk of functional disability in patients with diabetes.

DOI： 10.1136/bmjdrc-2019-000901

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Publishing type：Research paper (scientific journal)   Publisher：Japan Epidemiological Association  

DOI： 10.2188/jea.je20200034

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DOI： 10.2337/DB20-841-P

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DOI： 10.2337/DB20-1903-P

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DOI： 10.2337/DB20-389-P

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DOI： 10.2337/DB20-518-P

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Language：Japanese   Publisher：(一社)日本糖尿病合併症学会  

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BACKGROUND: Efficacy of programs for patients with diabetes mellitus (DM) that have promoted family members to help with patients' self-care activities has been largely inconsistent. This meta-analysis aims to assess the effect of family-oriented diabetes programs for glycemic control (GC). METHODS: Electronic literature searches were conducted for clinical trials with a parallel design wherein there were two groups according to whether family members were included (intervention group) or not included (control group) and changes in glycohemoglobin A1C (A1C) were assessed as a study outcome. Each effect size (i.e. difference in A1C change between the intervention and control group) was pooled with a random-effects model. RESULTS: There were 31 eligible trials consisting of 1466 and 1415 patients in the intervention and control groups, respectively. Pooled A1C change [95% confidence interval (CI)] was -0.45% (-0.64% to -0.26%). Limiting analyses to 21 trials targeted at patients with type 1 DM or 9 trials targeted at patients with type 2 DM, the pooled A1C changes (95% CI) were -0.35% (-0.55% to -0.14%) and -0.71% (-1.09% to -0.33%), respectively. CONCLUSION: This meta-analysis suggests that focusing on the family as well as the individual patient in self-management diabetes programs to improve the performance of self-care activities of patients with DM is effective in terms of proper GC.

DOI： 10.1093/fampra/cmy112

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Purpose: Since the combined effects of proteinuria and a moderately decreased eGFR on incident severe eye complications in patients with diabetes are still largely unknown, these associations were determined in a large historical cohort of Japanese patients with diabetes mellitus. Methods: We evaluated the effects of overt proteinuria (OP) (dipstick 1+ and over) and/or moderately reduced estimated glomerular filtration rate (eGFR) (MG) (baseline eGFR 30.0-54.9 mL/min/1.73 m2) on the incidence of treatment-required diabetic eye diseases (TRDED). We divided 7709 patients into four groups according to the presence or absence of OP and MG: no OP without MG (NP[MG-]), OP without MG (OP[MG-]), no OP with MG (NP[MG+]), and OP with MG (OP[MG+]). Multivariate Cox analyses were performed to calculate hazard ratios (HRs) with 95% confidence intervals for combinations of the presence and/or absence of OP and MG on the risk of developing TRDED. Results: During the median follow-up period of 5.6 years, 168 patients developed TRDED. HRs for OP and MG for incident TRDED were 1.91 (95% confidence interval, 1.27-2.87) and 1.90 (1.11-3.23), respectively. HRs for incident TRDED were 1.73 (1.11-2.69) and 5.57 (2.40-12.94) for OP(MG-) and OP(MG+), respectively, in comparison with NP(MG-). Conclusions: In Japanese patients with diabetes, OP and MG were separately as well as additionally associated with higher risks of TRDED. Results indicate the necessity of the simultaneous assessment of proteinuria and eGFR for appropriate evaluation of risks of severe eye complications in patients with diabetes.

DOI： 10.1167/iovs.19-26749

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BACKGROUND & AIMS: High intake of fruit and vegetables is recommended for cardiovascular health. However, there have been persistent beliefs that fruits having high concentrations of fructose elevate the level of triglycerides (TG) in blood unlike vegetables. This meta-analysis aims to clarify the relationship between fruit intake and TG or hypertriglyceridemia. METHODS: Electronic literature searches were conducted for observational studies that investigated the relationship between fruit intake and hypertriglyceridemia or intervention studies that investigated the effect of increasing fruit intake on TG. Each effect size was pooled with an inverse-variance method. RESULTS: Five cross-sectional studies and only 2 intervention studies were eligible. The pooled odds ratio (OR) (95% confidence interval (CI)) of the 5 cross-sectional studies for the highest vs. the lowest fruit intake category was 0.79 (0.72-0.87). In these studies, the pooled OR for the highest vs. the lowest vegetable intake category was not significant (OR = 0.92; 95% CI, (0.82-1.03)). A linear dose-response association was observed between increases in fruit intake and ORs for hypertriglyceridemia; the OR (95% CI) for an incrementally increased intake of fruit by 1 serving/day was 0.91 (0.84-0.98). CONCLUSION: This meta-analysis suggests that high intake of fruit but not vegetables is inversely associated with hypertriglyceridemia. More trials are needed to clarify whether increasing fruit intake would reduce the level of TG and/or incident hypertriglyceridemia.

DOI： 10.1016/j.clnesp.2018.07.001

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DOI： 10.1111/obr.12751

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Language：Japanese   Publisher：日本糖尿病眼学会  

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Language：Japanese   Publisher：(公社)日本人間ドック学会  

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BACKGROUND: Simple physical fitness test can be a useful potential predictor of type 2 diabetes (T2DM). We examined the association between performances on simple physical fitness tests and the incidence of T2DM. METHODS: This longitudinal study was conducted in 21,802 nondiabetic Japanese (6,649 women) aged 20 to 92 years, who underwent all physical fitness tests at baseline (April 2001 to March 2002). From April 2001 to March 2008, physical fitness tests, including grip strength, vertical jump, single-leg balance with eyes closed, forward bending, whole-body reaction time, and supine legs-up, were performed every year. Participants had physical fitness tests at least two times during the period. T2DM was also annually determined based on fasting blood glucose, glycated hemoglobin, and self-reported diabetes during the period. Discrete-time logit models were used to examine the influence of the serial level of each physical fitness test on the incidence of T2DM. RESULTS: During the entire study period, 972 participants developed diabetes. Lower relative grip strength (grip strength/body weight) and single-leg balance performance were associated with a higher incidence of T2DM. For relative grip strength, as compared with the fourth quartile group, the odds ratios for other groups ranged from 1.16 to 1.56 (P for trend < 0.001). For single-leg balance, the odds ratios ranged from 1.03 to 1.49 (P for trend < 0.001). CONCLUSION: The performance of a simple single-leg balance test as well as that of a grip strength test were negatively associated with the risk of T2DM among Japanese.

DOI： 10.2188/jea.JE20170280

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Language：Japanese   Publisher：(一社)日本動脈硬化学会  

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DOI： 10.1016/j.diabet.2017.12.003

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<p>Many epidemiological studies have assessed the genetic risk of having undiagnosed or of developing type 2 diabetes mellitus (T2DM) using several single nucleotide polymorphisms (SNPs) based on findings of genome-wide association studies (GWAS). However, the quantitative association of cumulative risk alleles (RAs) of such SNPs with T2DM risk has been unclear. The aim of this meta-analysis is to review the strength of the association between cumulative RAs and T2DM risk. Systematic literature searches were conducted for cross-sectional or longitudinal studies that examined odds ratios (ORs) for T2DM in relation to genetic profiles. Logarithm of the estimated OR (log OR) of T2DM for 1 increment in RAs carried (1-ΔRA) in each study was pooled using a random-effects model. There were 46 eligible studies that included 74,880 cases among 249,365 participants. In 32 studies with a cross-sectional design, the pooled OR for T2DM morbidity for 1-ΔRA was 1.16 (95% confidence interval [CI], 1.13–1.19). In 15 studies that had a longitudinal design, the OR for incident T2DM was 1.10 (95% CI, 1.08–1.13). There was large heterogeneity in the magnitude of log OR (<i>P</i> < 0.001 for both cross-sectional studies and longitudinal studies). The top 10 commonly used genes significantly explained the variance in the log OR (<i>P</i> = 0.04 for cross-sectional studies; <i>P</i> = 0.006 for longitudinal studies). The current meta-analysis indicated that carrying 1-ΔRA in T2DM-associated SNPs was associated with a modest risk of prevalent or incident T2DM, although the heterogeneity in the used genes among studies requires us to interpret the results with caution.</p>

DOI： 10.2188/jea.JE20160151

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DOI： 10.1016/j.diabet.2017.08.002

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DOI： 10.1002/hep.29319

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BACKGROUND: In East Asian countries, which have a high prevalence of underweight individuals, there is little information about the association between dietary factors and abnormal glucose tolerance during pregnancy. We examined the association between carbohydrate intake and moderately abnormal glucose tolerance in Japanese pregnant women. METHODS: We conducted a prospective study on 325 Japanese pregnant women without a diagnosis of diabetes mellitus prior to pregnancy. Dietary carbohydrate intake (% of total energy intake) was assessed using a 3-day dietary record during weeks 8-15 of pregnancy. Glucose tolerance was assessed by the 50 g glucose challenge test (GCT) during weeks 24-28 of pregnancy. A positive GCT result was defined by a 1-hour plasma concentration ≥ 7.8 mmol/L. Odds ratios of a positive GCT were calculated for the top and middle tertile categories of carbohydrate intake using the bottom category as reference. RESULTS: Mean (standard deviation) body mass index at the first prenatal visit was 19.7 (1.9) kg/m2 , and 95 women were underweight. Seventy-four women had positive GCT results. Carbohydrate intake was negatively associated with a positive GCT result after adjusting for age, parity, body mass index at first prenatal visit, family history of diabetes mellitus, rate of gestational weight gain, energy intake, and dietary fiber intake (odds ratio for top category: 0.46 [95% CI, 0.23-0.93]). CONCLUSIONS: These findings suggest that high carbohydrate intake was negatively associated with moderately abnormal glucose tolerance in a population with a high prevalence of underweight individuals.

DOI： 10.1002/dmrr.2898

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DOI： 10.1002/dmrr.2898

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AIMS/INTRODUCTION: The present meta-analysis aimed to clarify the association of unstable bodyweight with the risk of type 2 diabetes mellitus, an association that has been controversial among longitudinal studies. MATERIALS AND METHODS: An electronic literature search using EMBASE and MEDLINE was followed up to 31 August 2016. The relative risks (RRs) of type 2 diabetes mellitus in individuals with unstable bodyweight were pooled using the inverse variance method. RESULTS: Eight studies were eligible for the meta-analysis. The median duration of measurements of weight change and follow-up years for ascertaining type 2 diabetes mellitus were 13.5 and 9.4 years, respectively. The pooled RR for the least vs most stable category was 1.33 (95% confidence interval 1.12-1.57). Between-study heterogeneity was statistically significant (P = 0.048). Whether type 2 diabetes mellitus was ascertained by blood testing explained 66.0% of the variance in the logarithm of RR (P = 0.02). In three studies in which blood testing was carried out, type 2 diabetes mellitus risk was not significant (RR 1.06, 95% confidence interval 0.91-1.25). Furthermore, publication bias that inflated type 2 diabetes mellitus risk was statistically detected by Egger's test (P = 0.09). CONCLUSIONS: Unstable bodyweight might be modestly associated with the elevated risk of type 2 diabetes mellitus; although serious biases, such as diagnostic suspicion bias and publication bias, made it difficult to assess this association.

DOI： 10.1111/jdi.12623

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DOI： 10.1111/jdi.12623

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DOI： 10.1016/j.diabet.2017.08.002

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DOI： 10.1016/j.diabet.2016.09.001

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DOI： 10.1016/j.annepidem.2016.09.004

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DOI： 10.1016/j.ypmed.2016.07.026

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Although a family history (FH) of hypertension is a risk factor for the development of hypertension, only a few studies have investigated in detail the impact of individual components of an FH on incident hypertension. We investigated the impact of individual components and their combinations on the presence or development of hypertension considering obesity, smoking habits, physical activity, and other metabolic parameters.Studied were 12,222 Japanese individuals without hypertension (n = 9,766) and with hypertension (n = 2,456) at the baseline examination. The presence or incidence of hypertension during 5 years after a baseline examination was assessed by the presence of systolic blood pressure ≥140 mmHg and/or diastolic blood pressure ≥90 mmHg or a self-reported history of clinician-diagnosed hypertension. In this prospective study, the odds ratio for incident hypertension was 1.39 (95% confidence interval [CI], 1.22, 1.59) for individuals with any FH of hypertension compared with those without such an FH. Individuals with an FH of hypertension in both parents and one or more grandparents had an odds ratio of 3.05 (95% CI 1.74, 5.36) for hypertension compared with those without an FH of hypertension. FH was associated with incident hypertension independently of other modifiable risk factors such as obesity, smoking, physical inactivity, hyperglycemia, hyperuricemia, and hypertriglyceridemia.A parental history of hypertension was an essential component within an FH for incident hypertension. FH of hypertension over two generations with both parents affected was the most important risk factor for incident hypertension. Although an FH is not a modifiable risk factor, modifying other risk factors could contribute to reducing the risk of hypertension even among individuals with a family history of hypertension.

DOI： 10.1097/MD.0000000000004564

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DOI： 10.1016/j.diabres.2016.01.026

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BACKGROUND: Our aim is to examine the dose-response association between cumulative genetic risk and actual risk of type 2 diabetes mellitus (T2DM) and the influence of adjustment for covariates on T2DM risk through a comprehensive meta-analysis of observational studies. METHODS: Electronic literature search using EMBASE and MEDLINE (from 2003 to 2014) was conducted for cross-sectional or longitudinal studies that presented the odds ratio (OR) for T2DM in each group with categories based on the total number of risk alleles (RAs) carried (RAtotal ) using at least two single-nucleotide polymorphisms. Spline regression model was used to determine the shape of the relationship between the difference from the referent group of each study in RAtotal (ΔRAtotal ) and the natural logarithms of ORs (log OR) for T2DM. RESULTS: Sixty-five eligible studies that included 68 267 cases among 182 603 participants were analysed. In both crude and adjusted ORs, defined by adjusting the risk for at least two confounders among age, gender and body mass index, the slope of the log OR for T2DM became less steep as the ΔRAtotal increased. In the analysis limited to 14 cross-sectional and four longitudinal studies presenting both crude and adjusted ORs, regression curves of both ORs in relation to ΔRAtotal were almost identical. CONCLUSION: Using only single-nucleotide polymorphisms for T2DM screening was of limited value. However, when genotypic T2DM risk was considered independently from risk in relation to covariates, it was suggested that genetic profiles might have a supplementary role related to conventional T2DM risk factors in identifying individuals at high risk of T2DM. Copyright © 2015 John Wiley & Sons, Ltd.

DOI： 10.1002/dmrr.2680

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DOI： 10.1002/dmrr.2680

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DOI： 10.1007/s40279-015-0379-7

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DOI： 10.1111/jdi.12308

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DOI： 10.1111/dme.12646

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Nature Publishing Group  

DOI： 10.1038/jhh.2014.77

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DOI： 10.1111/hepr.12343

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DOI： 10.1111/jdi.12274

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DOI： 10.1155/2015/507245

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DOI： 10.1155/2015/541026

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DOI： 10.1016/j.clnu.2014.03.001

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DOI： 10.1136/jech-2014-204054

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DOI： 10.1002/oby.20855

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DOI： 10.1111/dme.12555

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DOI： 10.1016/j.diabres.2014.07.009

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DOI： 10.1016/j.diabres.2014.02.006

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DOI： 10.1210/jc.2013-4427

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DOI： 10.1161/HYPERTENSIONAHA.113.02918

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DOI： 10.3109/00016489.2014.905703

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DOI： 10.1016/j.amjcard.2013.12.005

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This meta-analysis quantified the risk of type 2 diabetes mellitus (T2DM) preceded by body weight (BW) gain in the general population. Systematic literature searches retrieved 15 eligible studies. The BW gain was divided into early weight-gain, which was defined as BW gain from early adulthood (18-24 years of age) to cohort entry (≥25 years of age), and late weight-gain, which was defined as BW gain from cohort entry. The pooled relative risk (RR; 95% confidence interval [CI]) of T2DM for an increment of BW gain standardized into a 5-kg m(-2) increment in the body mass index (BMI) was 3.07 (2.49-2.79) for early weight-gain and 2.12 (1.74-2.58) for late weight-gain. When limiting analysis to studies that concurrently examined T2DM risk for current BMI (defined in both groups as BMI at cohort entry), a larger magnitude of T2DM risk was revealed for early weight-gain compared with current BMI (RR [95% CI], 3.38 [2.20-5.18] vs. 2.39 [1.58-3.62]), while there was little difference between late weight-gain (RR [95% CI], 2.21 [1.91-2.56]) and current BMI (RR [95% CI], 2.47 [1.97-3.30]). The meta-analysis suggested that BW gain was a quantifiable predictor of T2DM, as well as current obesity in adults. Particularly, BW gain in early rather than middle-to-late adulthood played an important role in developing T2DM.

DOI： 10.1111/obr.12129

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DOI： 10.3177/jnsv.60.66

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DOI： 10.1155/2014/250620

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DOI： 10.11402/cookeryscience.47.165

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DOI： 10.2337/dc13-1048

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DOI： 10.3109/09637486.2013.812620

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BACKGROUND: Using high-normal levels of haemoglobin A1C (Abnormal-A1C ) or fasting plasma glucose (FPG) (Abnormal-FPG) for diabetes screening are expected to improve the ability to detect persons with or at high risk of diabetes. We assessed the diagnostic and predictive capacity for diabetes of Abnormal-A1C and Abnormal-FPG. We compared these to the combined use of the two measures to the single use of either measurement. METHODS: We analysed 31 eligible cross-sectional or cohort studies that assessed diagnostic or predictive ability, respectively, by using lower A1C and FPG cutoff values than recommended by current diabetes criteria. Positive and negative likelihood ratios (LR+ and LR-) were calculated to assess the ability to confirm or exclude diabetes, respectively, on the basis of a bivariate random-effects model. RESULTS: With both Abnormal-A1C and Abnormal-FPG, the pooled LR+ was above 4 for diagnosing diabetes and above 3 for predicting diabetes. However, the pooled LR- for predicting diabetes was higher with Abnormal-A1C (0.48) and Abnormal-FPG (0.49) in comparison with that for diagnosing diabetes (0.27, Abnormal-A1C ; 0.28, Abnormal-FPG). In eight studies that assessed the predictive ability of the combination of A1C and FPG, using either Abnormal-A1C or Abnormal-FPG could lower LR- to 0.17 from 0.43 for only Abnormal-A1C and from 0.38 for only Abnormal-FPG. Accordingly, LR+ was also lowered to 2.37 from 3.36 for only Abnormal-A1C and from 3.84 for only-Abnormal-FPG. CONCLUSION: The use of the two blood glucose tests had insufficient capacity to identify subjects at high risk for diabetes but had considerable capacity to identify undiagnosed diabetes.

DOI： 10.1002/dmrr.2445

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DOI： 10.1007/s00125-013-3042-6

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DOI： 10.1111/dme.12255

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DOI： 10.1097/EDE.0b013e31829f6c31

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DOI： 10.3177/jnsv.59.325

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DOI： 10.1007/s00125-012-2810-z

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DOI： 10.1093/aje/kwt036

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DOI： 10.3945/ajcn.112.043364

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DOI： 10.1210/jc.2012-3092

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DOI： 10.2337/dc12-0783

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DOI： 10.1210/jc.2012-2119

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AIMS: Maternal obesity and weight gain since early adulthood are known predictors of gestational diabetes in Western countries. However, their impact has not been evaluated well in Asia, where mean BMI levels are generally lower than in Western countries. We therefore examined the associations of BMI at age 20 years and BMI change since age 20 years with the risk of gestational diabetes in Japanese pregnant women. METHODS: Six hundred and twenty-four consecutive pregnant women without recognized diabetes before pregnancy, whose initial obstetric clinic visit was before 13 weeks' gestation, were prospectively observed. Weight at age 20 years was self-reported. Baseline height and weight measurements were obtained at the initial obstetric visit. Multivariate logistic regression analysis estimated the risk of incident gestational diabetes for BMI change since 20 years and BMI at age 20 years. RESULTS: Twenty-eight women developed incident gestational diabetes. By multivariate logistic regression analysis that adjusted for maternal age, parity and baseline BMI, we observed a statistically significant inverse association between BMI at age 20 years and incidence of gestational diabetes (odds ratio 0.68, 95% CI 0.51-0.92). Similarly, when we assessed the association of BMI change since age 20 years, adjusted for maternal age and parity, BMI change was associated with an increased risk of gestational diabetes (odds ratio 1.26, 95% CI 1.03-1.53). When we focused on the threshold of risk of gestational diabetes, women with BMI at 20 years of less than 18 kg/m(2) had a 6.30-fold (2.26-17.59) greater risk than women with both BMI at age 20 years of 18 kg/m(2) or more and BMI change since age 20 years of less than 1.85. CONCLUSIONS: Both low BMI at age 20 years and BMI change since age 20 years were significantly associated with increased risk of incident gestational diabetes.

DOI： 10.1111/j.1464-5491.2012.03712.x

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DOI： 10.5551/jat.14977

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Aims. High prevalence of sleep apnea syndrome (SAS) has been reported in patients with diabetes. However, whether diabetic neuropathy (DN) contributes to this high prevalence is controversial. Our aim of this study is to compare the prevalence of SAS between patients with and without DN. Methods. Systematic literature searches were conducted for cross-sectional studies that reported the number of patients with DN and SAS using MEDLINE (from 1966 to Nov 5, 2012) and EMBASE (from 1974 to Nov 5, 2012). Odds ratios (ORs) of SAS related to DN were pooled with the Mantel-Haenszel method. Results. Data were obtained from 5 eligible studies (including 6 data sets, 880 participants, and 429 cases). Overall, the pooled OR of SAS in patients with DN compared with that in non-DN patients was significant (OR (95% CI), -1.95 (1.03-3.70)). The pooled OR of SAS was 1.90 (0.97-3.71) in patients with type 2 diabetes. Excluding data on patients with type 1 diabetes, a higher OR was observed in younger patients (mean age <60 years) than in those ≥60 years among whom the OR remained significant (3.82; 95% CI, 2.24-6.51 and 1.17; 95% CI, 0.81-1.68). Conclusions. Current meta-analysis suggested the association of some elements of neuropathy with SAS in type 2 diabetes. Further investigations are needed to clarify whether the association is also true for patients with type 1 diabetes.

DOI： 10.1155/2013/150371

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DOI： 10.1093/aje/kws172

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DOI： 10.1007/s00125-012-2712-0

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<b>Objective: </b>Metabolic syndrome enhances coronary heart disease and cerebral stroke. However, few longitudinal studies have been conducted on the incidence of coronary heart disease and cerebral stroke in Japanese patients with non-alcoholic fatty liver disease (NAFLD) and the risk factors for its development. <br><b>Methods: </b>A total of 1,798 NAFLD patients with an age of ≥60 years were enrolled. The primary event was the first onset of coronary heart disease or cerebral stroke. Independent factors associated with the incidence rate of such events were analyzed by the Kaplan-Meyer method and the Cox proportional hazard model. The mean observation period was 7.5 years.<br><b>Results: </b>The number of cases of coronary heart disease or cerebral stroke that developed was 137. The 10th year cumulative development rate was 11.7% in the NAFLD patients. Cox proportional hazards analysis revealed the following: 1) Coronary heart disease occurred with statistical significance when patients had poor control of blood pressure, smoking, low high density lipoprotein level, and high glucose level. 2) Ischemic stroke occurred with statistical significance when patients had poor control of blood pressure, an age of ≥70 years, and high glucose level. 3) Hemorrhagic stroke occurred with statistical significance when patients had poor control of blood pressure, age ≥70 years, low albumin level of <3.9 g/dL and high aspartate aminotransferase to platelet ratio index. <br><b>Conclusion: </b>Our study indicates that the risk factors for the development of vascular disease are different for coronary heart disease, ischemic stroke and hemorrhagic stroke in Japanese elderly patients with NAFLD.

DOI： 10.11320/ningendock.27.561

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DOI： 10.1016/j.mayocp.2012.04.016

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DOI： 10.1111/j.1464-5491.2012.03686.x

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DOI： 10.1007/s00125-012-2572-7

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OBJECTIVE: Web-based treatment programs are attractive in primary care because of their ability to reach numerous individuals at low cost. Our aim of this meta-analysis is to systematically review the weight loss or maintenance effect of the Internet component in obesity treatment programs. METHODS: MEDLINE and EMBASE literature searches were conducted to identify studies investigating the effect of Web-based individualized advice on lifestyle modification on weight loss. Randomized controlled trials that consisted of a Web-user experimental and non-Web user control group were included. Weight changes in the experimental group in comparison with the control group were pooled with a random-effects model. RESULTS: A total of 23 studies comprising 8697 participants were included. Overall, using the Internet had a modest but significant additional weight-loss effect compared with non-Web user control groups (-0.68 kg, P=0.03). In comparison with the control group, stratified analysis indicated that using the Internet as an adjunct to obesity care was effective (-1.00 kg, P<0.001), but that using it as a substitute for face-to-face support was unfavorable (+1.27 kg, P=0.01). An additional effect on weight control was observed when the aim of using the Internet was initial weight loss (-1.01 kg; P=0.03), but was not observed when the aim was weight maintenance (+0.68 kg; P=0.26). The relative effect was diminished with longer educational periods (P-trend=0.04) and was insignificant (-0.20 kg; P=0.75) in studies with educational periods of 12 months or more. CONCLUSION: The current meta-analysis indicates that the Internet component in obesity treatment programs has a modest effect on weight control. However, the effect was inconsistent, largely depending on the type of usage of the Internet or the period of its use.

DOI： 10.1038/ijo.2011.121

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DOI： 10.2337/dc11-1793

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DOI： 10.1017/S1368980011002345

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DOI： 10.1016/j.diabres.2011.10.024

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DOI： 10.5551/jat.10975

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DOI： 10.1055/s-0032-1314873

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DOI： 10.1016/j.diabres.2011.08.015

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DOI： 10.1271/bbb.110312

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Publisher：The Oto-Rhino-Laryngological Society of Japan, Inc.  

Dacryocystorhinostomy (DCR) is done commonly in subjects with chronic dacryocystitis and nasolacrimal duct stenosis, and endoscopic DCR is now an established alternative to external approaches. Mucosal preservation is important in preventing granulation tissue and synechia from forming around the ostium. Our modified endoscopic DCR using a mucosal flap involves creating a large bony opening to form an anastomosis for the lacrimal sac and nasal mucosa. Instead of silicon tubing, we use a silicon sheet to avoid manipulating the canaliculi. Our modifications enable an easy, safe, effective form of DCR easily implemented by otolaryngologists familiar with endoscopic sinus surgery.

DOI： 10.3950/jibiinkoka.114.820

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Other Link： https://jlc.jst.go.jp/DN/JALC/00383623841?from=CiNii

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DOI： 10.1016/j.ypmed.2011.08.030

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Publishing type：Research paper (scientific journal)   Publisher：Springer Science and Business Media LLC  

DOI： 10.1007/bf03325127

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Other Link： http://link.springer.com/article/10.1007/BF03325127/fulltext.html

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/S0140-6736(11)60472-8

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Language：Japanese   Publisher：THE JAPAN DIABETES SOCIETY  

DOI： 10.11213/tonyobyo.54.2

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Other Link： https://jlc.jst.go.jp/DN/JALC/00363542391?from=CiNii

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DOI： 10.1016/j.jacc.2010.08.641

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DOI： 10.1016/j.atherosclerosis.2010.01.008

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DOI： 10.2337/dc09-0288

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DOI： 10.1016/j.annepidem.2009.03.020

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DOI： 10.1001/jama.2009.681

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DOI： 10.1097/EDE.0b013e31819ed09f

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DOI： 10.2337/dc08-1716

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DOI： 10.1097/EDE.0b013e31819ed4ed

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DOI： 10.1001/archinte.167.10.999

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DOI： 10.2337/dc06-2149

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DOI： 10.2169/internalmedicine.46.0096

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DOI： 10.1016/j.cbpa.2006.06.043

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Language：English   Publisher：Japan Society of Physical Education, Health and Sport Sciences  

Exercise training suppresses cardiovascular risk factors by improving lipid/glucose metabolism, insulin resistance and hypertension. There is an optimum amount and intensity of exercise that will suppress each risk factor, although limited information is currently available on this area. For instance, the level of high-density lipoprotein cholesterol seems to be dependent more on the amount than on the intensity of exercise training; the situation with exercise-induced suppression of triglyceride levels is less clear. It is notable that the ability of mild intensity or a low amount of exercise to suppress or prevent cardiovascular risk factors is largely unknown. This knowledge is essential for prescribing safe and effective exercise training to elderly people. At the same time, very few studies on the associations between cardiovascular risk factors in response to exercise can be found. For example, improvement in lipid metabolism or insulin resistance seems to be related to the weight loss seen during exercise training but weight-independent effects could also be observed. The optimal intensity and amount of exercise training for each cardiovascular risk factor and the relationships between the effects of exercise training on each risk factor need to be clarified in the near future in order to establish guidelines that can be applied to the majority of elderly people at risk of cardiovascular diseases.

DOI： 10.5432/ijshs.4.325

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Other Link： http://search.jamas.or.jp/link/ui/2007328852

Language：Japanese   Publisher：THE JAPAN DIABETES SOCIETY  

DOI： 10.11213/tonyobyo1958.46.903

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Other Link： https://jlc.jst.go.jp/DN/JALC/00234747009?from=CiNii

Language：Japanese   Publisher：THE JAPAN DIABETES SOCIETY  

DOI： 10.11213/tonyobyo1958.38.238

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Authorship：Lead author   Language：Japanese  

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DOI： 10.2337/db19-450-P

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Language：Japanese   Publisher：(一社)日本糖尿病学会  

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DOI： 10.2337/db18-444-P

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DOI： 10.2337/db18-442-P

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DOI： 10.2337/db18-823-P

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Language：Japanese   Publisher：(一社)日本動脈硬化学会  

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Language：Japanese   Publisher：新潟県医師会  

情報化社会の普及に伴い、医療情報が氾濫し信頼性の低い情報の増加に繋がっている。現在では臨床医が最新の診療を実践するためには、治療手技などの医療情報は、system(教科書型の情報源)ではなく、個別の医学研究であるstudyから入手しなければならない場合が多い。信頼できる研究の着眼点を以下の項目に分けて概説した。1)医学研究の分類、2)観察研究の分類、3)医学研究の信頼性、4)介入研究の簡便評価法、5)観察研究の簡便評価法、6)診断研究の簡便評価法、について述べた。

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Language：Japanese   Publisher：日本DOHaD研究会  

第3回日本DOHaD研究会学術集会 抄録集 【ポスター発表】

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