Faculty Profiles - SONE, Hirohito

Predictive ability of current machine learning algorithms for type 2 diabetes mellitus: A meta-analysis.

Satoru Kodama, Kazuya Fujihara, Chika Horikawa, Masaru Kitazawa, Midori Iwanaga, Kiminori Kato, Kenichi Watanabe, Yoshimi Nakagawa, Takashi Matsuzaka, Hitoshi Shimano, Hirohito Sone

Journal of diabetes investigation 13 ( 5 ) 900 - 908 2021.12

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

Impact of prior cerebrovascular disease and glucose status on incident cerebrovascular disease in Japanese International journal

Momoko Oe, Kazuya Fujihara, Mayuko Harada-Yamada, Taeko Osawa, Masaru Kitazawa, Yasuhiro Matsubayashi, Takaaki Sato, Yuta Yaguchi, Midori Iwanaga, Hiroyasu Seida, Takaho Yamada, Hirohito Sone

Cardiovascular Diabetology 20 ( 1 ) 174 - 174 2021.12

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

<title>Abstract</title><sec>
<title>Background</title>
Although both a history of cerebrovascular disease (CVD) and glucose abnormality are risk factors for CVD, few large studies have examined their association with subsequent CVD in the same cohort. Thus, we compared the impact of prior CVD, glucose status, and their combinations on subsequent CVD using real-world data.

</sec><sec>
<title>Methods</title>
This is a retrospective cohort study including 363,627 men aged 18–72 years followed for ≥ 3 years between 2008 and 2016. Participants were classified as normoglycemia, borderline glycemia, or diabetes defined by fasting plasma glucose, HbA1c, and antidiabetic drug prescription. Prior and subsequent CVD (i.e. ischemic stroke, transient ischemic attack, and non-traumatic intracerebral hemorrhage) were identified according to claims using ICD-10 codes, medical procedures, and questionnaires.

</sec><sec>
<title>Results</title>
Participants’ mean age was 46.1 ± 9.3, and median follow up was 5.2 (4.2, 6.7) years. Cox regression analysis showed that prior CVD + conferred excess risk for CVD regardless of glucose status (normoglycemia: hazard ratio (HR), 8.77; 95% CI 6.96–11.05; borderline glycemia: HR, 7.40, 95% CI 5.97–9.17; diabetes: HR, 5.73, 95% CI 4.52–7.25). Compared with normoglycemia, borderline glycemia did not influence risk of CVD, whereas diabetes affected subsequent CVD in those with CVD- (HR, 1.50, 95% CI 1.34–1.68). In CVD-/diabetes, age, current smoking, systolic blood pressure, high-density lipoprotein cholesterol, and HbA1c were associated with risk of CVD, but only systolic blood pressure was related to CVD risk in CVD + /diabetes.

</sec><sec>
<title>Conclusions</title>
Prior CVD had a greater impact on the risk of CVD than glucose tolerance and glycemic control. In participants with diabetes and prior CVD, systolic blood pressure was a stronger risk factor than HbA1c. Individualized treatment strategies should consider glucose tolerance status and prior CVD.

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DOI： 10.1186/s12933-021-01367-7

Other Link： https://link.springer.com/article/10.1186/s12933-021-01367-7/fulltext.html

マウスにおける越後白雪茸の摂取による非アルコール性脂肪性肝炎の進行抑制効果

鈴木浩史, 渡辺賢一, Arumugam Somasundaram, Yellurkar Manoj Limbraj, Sreedhar Remya, Afrin Rejina, 曽根博仁

機能性食品と薬理栄養 15 ( 3 ) 184 - 184 2021.12

Impact of Medication Adherence and Glycemic Control on the Risk of Micro- and Macrovascular Diseases in Patients with Diabetes. International journal

Yuta Yaguchi, Kazuya Fujihara, Mayuko Harada Yamada, Yasuhiro Matsubayashi, Takaho Yamada, Midori Iwanaga, Masaru Kitazawa, Masahiko Yamamoto, Hiroyasu Seida, Satoru Kodama, Hirohito Sone

The American journal of medicine 135 ( 4 ) 461 - 470 2021.11

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

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

イノツズマブによる再寛解導入に引き続いてブリナツモマブを投与し再移植できたB-ALLの1例

米澤穂高, 布施香子, 水戸部正樹, 武田るい, 諏訪部達也, 片桐隆幸, 柴崎康彦, 瀧澤淳, 成田美和子, 曽根博仁, 増子正義

臨床血液 62 ( 10 ) 1526 - 1526 2021.10

Comparing Associations of Dietary Energy Density and Energy Intake, Macronutrients with Obesity in Patients with Type 2 Diabetes (JDDM 63). International journal

Yasunaga Takeda, Kazuya Fujihara, Rina Nedachi, Izumi Ikeda, Sakiko Yoshizawa Morikawa, Mariko Hatta, Chika Horikawa, Mitsutoshi Kato, Noriko Kato, Hiroki Yokoyama, Yoshio Kurihara, Kazuhiro Miyazawa, Hiroshi Maegawa, Hirohito Sone

Nutrients 13 ( 9 ) 2021.9

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

To investigate the association between dietary energy density (DED) and obesity in people with type 2 diabetes mellitus. Moreover, we compared the strength of the associations of DED with intake of energy and macronutrients in terms of obesity as well as nutritional factors that have long been used for medical nutritional therapy. Cross-sectionally investigated were 1615 outpatients with type 2 diabetes who attended 26 clinics nationwide with diabetes specialists. Odds ratios (ORs) were calculated for the association between obesity and DED, energy, and macronutrients by quintile categories and a 1 SD increment with adjustment for potential confounders. β coefficients were calculated for the association between body mass index (BMI) and each nutritional factor by 1 SD increments in nutritional values. Multi-adjusted OR for obesity between extreme quintiles of DED was 2.99 (95% confidence interval (95% CI): 2.01-3.12). Conversely, the ORs did not differ significantly according to the quintiles of other nutrient factors. Multi-adjusted β coefficient of BMI per 1 SD according to DED was far higher than those of other nutrient factors (β coefficient 0.65, 95% CI: 0.41-0.88). These findings indicated that DED in persons with type 2 diabetes was positively associated with BMI and the prevalence of obesity. DED was also much more potently associated with obesity and BMI than nutritional indicators such as intake of energy or macronutrients.

DOI： 10.3390/nu13093167

Carrot Consumption Frequency Associated with Reduced BMI and Obesity through the SNP Intermediary rs4445711 International journal

Kazuya Fujihara, Shun Nogawa, Kenji Saito, Chika Horikawa, Yasunaga Takeda, Kaori Cho, Hajime Ishiguro, Satoru Kodama, Yoshimi Nakagawa, Takashi Matsuzaka, Hitoshi Shimano, Hirohito Sone

Nutrients 13 ( 10 ) 2021.9

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

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

Secular Trends in Dietary Intake over a 20-Year Period in People with Type 2 Diabetes in Japan: A Comparative Study of Two Nationwide Registries; Japan Diabetes Complications Study (JDCS) and Japan Diabetes Clinical Data Management Study (JDDM) International journal

Mizuki Takeuchi, Chika Horikawa, Mariko Hatta, Yasunaga Takeda, Rina Nedachi, Izumi Ikeda, Sakiko Yoshizawa Morikawa, Noriko Kato, Hiroki Yokoyama, Rei Aida, Shiro Tanaka, Chiemi Kamada, Yukio Yoshimura, Toshiko Saito, Kazuya Fujihara, Atsushi Araki, Hirohito Sone

Nutrients 13 ( 10 ) 2021.9

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

BACKGROUND: In order to provide effective dietary guidance, it is necessary to consider dietary intake, which can change over time. This study analyzed changes in the diet of Japanese patients with type 2 diabetes over a 20-year period. METHODS: We compared the results of two dietary surveys that used the food frequency questionnaire format. The first was conducted in 1996 by the Japan Diabetes Complications Study (JDCS) (n = 1509; males 53.3%), and the second in 2014-2018 by the Japan Diabetes Clinical Data Management Study (JDDM) (n = 1145; males 65.6%). Both are nationwide representative registries of outpatients with type 2 diabetes in Japan. RESULTS: Over a 20-year period, both men and women with type 2 diabetes had a significant increase in body mass index (BMI). Nonetheless, there was only a small change in energy intake. Conversely, there was a significant increase in fat intake and thus in the fat-to-energy ratio. With regard to food groups, there was a significant increase in meat intake and a decrease in the intake of fish, soybeans/soy products, vegetables, and fruits, with a particularly significant decrease in vegetables. CONCLUSIONS: Even in Japan, an industrialized country with a stable socioeconomic environment, there were many significant changes in the dietary intake of patients with type 2 diabetes over the 20-year period.

DOI： 10.3390/nu13103428