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Park CS, Kim B, Jung JH, Rhee TM, Lee HJ, Lee HS, Park JB, Kim YJ, Han K, Kim HK. Association of Fibrate use with clinical expression of hypertrophic cardiomyopathy. ESC Heart Fail 2024. [PMID: 39054783 DOI: 10.1002/ehf2.15004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 05/03/2024] [Accepted: 07/15/2024] [Indexed: 07/27/2024] Open
Abstract
AIMS An association between obesity, metabolic abnormalities and clinical hypertrophic cardiomyopathy (HCM) expression has been reported. We investigated whether managing dyslipidaemia with fibrates could affect the clinical expression of HCM. METHODS We screened patients who used fibrates between 2010 and 2017 from a nationwide database. After excluding patients with a history of HCM, we identified fibrate-user group (n = 412 823). We then constructed a 1:1 matched cohort of fibrate-naïve participants (n = 412 823). After a 1 year lag period, we identified the incident HCM cases for the following 5 years. RESULTS During a median follow-up period of 3.96 years, we identified 454 incident clinical HCM cases. After adjusting for covariates, fibrate use was associated with a lower risk of clinical HCM expression [hazard ratio (HR) 95% confidence interval (CI): 0.763 (0.630-0.924)]. In subgroup analyses, fibrate use was associated with a reduced risk of clinical HCM expression in patients with a body mass index ≥25 kg/m2 and those with abdominal obesity [HR (95% CI): 0.719 (0.553-0.934) and 0.655 (0.492-0.872)], but not in those without obesity. Fibrate use was also associated with lower risks of incident clinical HCM in patients with triglyceride levels ≥150 mg/dL and those with metabolic syndrome [HR (95% CI): 0.741 (0.591-0.929) and 0.750 (0.609-0.923)], but not in their counterparts. Regarding lifestyle behaviours, fibrate use appeared to provide more prognostic benefits in patients who currently smoked, consumed alcohol or did not engage in regular physical activities. CONCLUSION The use of fibrates is associated with a lower incidence of clinical HCM expression. This association was also more prominent in those with obesity, unhealthy metabolic profiles and poor lifestyle behaviours.
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Affiliation(s)
- Chan Soon Park
- Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Bongseong Kim
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Jin-Hyung Jung
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Tae-Min Rhee
- Cardiovascular Center, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea
| | - Hyun Jung Lee
- Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hee-Sun Lee
- Cardiovascular Center, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea
| | - Jun-Bean Park
- Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yong-Jin Kim
- Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Hyung-Kwan Kim
- Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea
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Ueno K, Kaneko H, Kamiya K, Suzuki Y, Okada A, Takeda N, Fujiu K, Morita H, Ako J, Node K, Yasunaga H, Komuro I. Age-Dependent Relationship of Physical Inactivity With Incident Cardiovascular Disease: Analysis of a Large Japanese Cohort. Can J Cardiol 2024:S0828-282X(24)00501-4. [PMID: 38906248 DOI: 10.1016/j.cjca.2024.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 06/12/2024] [Accepted: 06/13/2024] [Indexed: 06/23/2024] Open
Abstract
BACKGROUND There have been limited studies examining age-dependent associations between physical inactivity and cardiovascular disease (CVD). We aimed to clarify the age-dependent relationship of physical inactivity with incident CVD. METHODS We analyzed 1,097,424 participants, aged 18 to 105 years, without histories of CVD, enrolled in the DeSC database (median age, 63 years; 46.4% men). We categorized participants into the following 4 groups based on age: ≤ 44 years (n = 203,835); 45 to 64 years (n = 403,619); 65 to 79 years (n = 437,236); and ≥ 80 years (n = 52,734). We used 3 physical inactivity components gained from the self-reported questionnaire during a health checkup. The outcomes were composite CVD events including myocardial infarction, stroke, heart failure, and each CVD event. RESULTS During a mean follow-up of 3.2 ± 1.9 years, 81,649 CVD events were observed. The hazard ratios of 3 physical inactivity components for CVD events increased with age category (P for interaction < 0.001). For example, the hazard ratio (95% confidence interval) of physical inactivity defined as not doing light sweaty exercise for 30 minutes at least twice a week for incident CVD in the groups aged ≤ 44 years, 45 to 64 years, 65 to 79 years, and ≥ 80 years were 0.97 (0.88-1.05), 1.08 (1.05-1.12), 1.12 (1.10-1.15), and 1.17 (1.12-1.21), respectively (P for interaction < 0.001). This association was consistent across subtypes of CVD including heart failure, myocardial infarction, and stroke. CONCLUSIONS The association of physical inactivity with a higher risk of developing CVD increased with age. Preventive efforts for physical activity optimization may be more valuable in older people.
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Affiliation(s)
- Kensuke Ueno
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan; Department of Rehabilitation Sciences, Graduate School of Medical Sciences, Kitasato University, Kanagawa, Japan
| | - Hidehiro Kaneko
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan; The Department of Advanced Cardiology, The University of Tokyo, Tokyo, Japan.
| | - Kentaro Kamiya
- Department of Rehabilitation, School of Allied Health Sciences, Kitasato University, Kanagawa, Japan
| | - Yuta Suzuki
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Akira Okada
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine and The Department of Health Services Research, The University of Tokyo, Tokyo, Japan
| | - Norifumi Takeda
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Katsuhito Fujiu
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan; The Department of Advanced Cardiology, The University of Tokyo, Tokyo, Japan
| | - Hiroyuki Morita
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Junya Ako
- Department of Cardiovascular Medicine, School of Medicine, Kitasato University, Kanagawa, Japan
| | - Koichi Node
- Department of Cardiovascular Medicine, Saga University, Saga, Japan
| | - Hideo Yasunaga
- The Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - Issei Komuro
- Department of Frontier Cardiovascular Science, The University of Tokyo, Tokyo, Japan; International University of Health and Welfare, Tokyo, Japan
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Hu L, Han X, Chen M, Zhang T. Association of waist circumference and BMI with premature death in young and middle-aged population. Front Public Health 2024; 12:1389766. [PMID: 38873315 PMCID: PMC11169795 DOI: 10.3389/fpubh.2024.1389766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 05/07/2024] [Indexed: 06/15/2024] Open
Abstract
Introduction Premature death is a global health indicator, significantly impacted by obesity, especially in young and middle-aged population. Both body mass index (BMI) and waist circumference (WC) assess obesity, with WC specifically indicating central obesity and showing a stronger relationship with mortality. However, despite known associations between BMI and premature death, as well as the well-recognized correlation between WC and adverse health outcomes, the specific relationship between WC and premature death remains unclear. Therefore, focusing on young and middle-aged individuals, this study aimed to reliably estimate independent and combined associations between WC, BMI and premature death, thereby providing causal evidence to support strategies for obesity management. Methods This study involved 49,217 subjects aged 18-50 years in the United States from 1999 to 2018 National Health and Nutrition Examination Survey (NHANES). Independent and combined associations between WC and BMI with premature death across sex and age stratum were examined by Cox regression. Survey weighting and inverse probability weighting (IPW) were further considered to control selection and confounding bias. Robustness assessment has been conducted on both NHANES and China Health and Retirement Longitudinal Study (CHARLS) data. Results A linear and positive relationship between WC and all-cause premature death was found in both males and females, with adjusted HRs of 1.019 (95%CI = 1.004-1.034) and 1.065 (95%CI = 1.039-1.091), respectively. Nonlinear relationships were found with respect to BMI and all-cause premature death. For females aged 36-50 with a BMI below 28.6 kg/m2, the risk of premature death decreased as BMI increased, indicated by adjusted HRs of 0.856 (95%CI = 0.790-0.927). Joint analysis showed among people living with obesity, a larger WC increased premature death risk (HR = 1.924, 95%CI = 1.444-2.564). Discussion WC and BMI exhibited prominent associations with premature death in young and middle-aged population. Maintaining an appropriate WC and BMI bears significant implications for preventing premature death.
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Affiliation(s)
| | | | | | - Tao Zhang
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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Zhang T, Li X, Meng Z, Fang W, Lian G, Ma W, Tian L, Yang H, Wang C, Zhang J, Chen M. Obesity and septic patient outcomes: Shaping the puzzle through age and sex perspectives. Clin Nutr 2024; 43:1013-1020. [PMID: 38503020 DOI: 10.1016/j.clnu.2024.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 02/28/2024] [Accepted: 03/12/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND & AIMS While obesity has been reported as a protective factor in septic patients, little is known about the potential modifying effects of age and sex. The objective of this study is to investigate age and sex-specific associations between obesity and the prognosis of septic patients. METHODS A retrospective analysis was conducted on a cohort of 15,464 septic patients, categorized by body mass index (BMI) into four groups: underweight (<18.5 kg/m2, n = 483), normal (18.5-24.9 kg/m2, n = 4344), overweight (25-29.9 kg/m2, n = 4949) and obese (≥30 kg/m2, n = 5688). Multivariable logistic regression and inverse probability weighting were employed to robustly confirm the protective effect of a higher BMI on 28-day mortality, with normal weight serving as the reference category. Subgroup analyses based on age (young: 18-39, middle-aged: 40-64 and elderly: ≥65) and sex were performed. RESULTS The findings demonstrate that high BMI independently confers a protective effect against 28-day mortality in septic patients. However, the relationship between BMI and 28-day mortality exhibits a non-linear trend, with a BMI of 34.5 kg/m2 displaying the lowest odds ratio. Notably, the survival benefits associated with a high BMI were not observed in the young group. Moreover, being underweight emerges as an independent risk factor for middle-aged and elderly female patients, while in males it is only a risk factor in the elderly group. Interestingly, being overweight and obese were identified as independent protective factors in middle-aged and elderly male patients, but not in females. CONCLUSIONS The effect of BMI on mortality in septic patients varies according to age and sex. Elderly individuals with sepsis may derive more prognostic benefits from obesity.
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Affiliation(s)
- Tuo Zhang
- Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China; Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250021, China
| | - Xunliang Li
- Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250021, China; Department of Intensive Care Unit, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Zhaoli Meng
- Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China; Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250021, China
| | - Wei Fang
- Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China; Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250021, China
| | - Guodong Lian
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Shandong University, Jinan 250021, Shandong, China; Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong, China
| | - Wenhao Ma
- Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - Lei Tian
- Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - Hongna Yang
- Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China; Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250021, China
| | - Chunting Wang
- Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China; Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250021, China
| | - Jicheng Zhang
- Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China; Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250021, China.
| | - Man Chen
- Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China; Department of Critical Care Medicine, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250021, China.
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Chen N, Xu Y, Xu C, Duan J, Zhou Y, Jin M, Xia H, Yuan W, Chen R. Effects of triglyceride glucose (TyG) and TyG-body mass index on sex-based differences in the early-onset heart failure of ST-elevation myocardial infarction. Nutr Metab Cardiovasc Dis 2024; 34:590-597. [PMID: 37996372 DOI: 10.1016/j.numecd.2023.09.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 08/20/2023] [Accepted: 09/28/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND AND AIM Heart failure (HF) is an important complication of ST-elevation myocardial infarction (STEMI), including early- and late-onset HF. This study aimed to investigate the association between insulin resistance (IR)-related parameters triglyceride glucose (TyG) and TyG-body mass index (TyG-BMI) index and early-onset HF in STEMI between sexes. METHODS AND RESULTS This cross-sectional study included patients with STEMI who underwent primary percutaneous coronary intervention (PCI) between January 2016 and September 2022. Patients were divided into tertiles according to TyG/TyG-BMI index levels in males and females. The presence of early-onset HF was compared between tertiles in both sexes. Moreover, patients were stratified according to the tertiles of TyG/Tyg-BMI index. Differences in early-onset HF of STEMI were compared between males and females in each tertile group. 1118 patients were included in this study, 20.3% of whom were females. The incidence rate of early-onset HF was significantly higher in females than in males (29% vs. 14.8%). TyG-BMI index was negatively correlated with early-onset HF. In both females and males, there was no difference in the occurrence of early-onset HF between the highest and lowest TyG/TyG-BMI index groups. Sex disparity was observed in females who had a significantly higher prevalence of early-onset HF than males in each TyG/TyG-BMI index tertile group; however, after adjustment, the differences disappeared. CONCLUSIONS For patients with STEMI who undergo primary PCI, the incidence of early-onset HF is higher in females than in males. The TyG/TyG-BMI index do not contribute to the difference in early-onset HF between sexes.
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Affiliation(s)
- Nan Chen
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Yao Xu
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Chong Xu
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Junying Duan
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Ye Zhou
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Mingfeng Jin
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Hao Xia
- Department of Cardiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Wei Yuan
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Rui Chen
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
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Ge YZ, Liu T, Deng L, Zhang Q, Liu CA, Ruan GT, Xie HL, Song MM, Lin SQ, Yao QH, Shen X, Shi HP. The age-related obesity paradigm: results from two large prospective cohort studies. J Cachexia Sarcopenia Muscle 2024; 15:442-452. [PMID: 38146198 PMCID: PMC10834317 DOI: 10.1002/jcsm.13415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 10/12/2023] [Accepted: 11/20/2023] [Indexed: 12/27/2023] Open
Abstract
BACKGROUND The obesity paradigm has been a health concern globally for many years, its meaning is controversial. In this study, we assess the characteristics and causes of obesity paradigm and detail the mediation of obesity and inflammation on survival. METHODS The original cohort included participants from the US National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, a prospective cohort of a nationally representative sample of adult participants; the oncology validation cohort included patients from the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) from 2013 to 2021, a prospective cohort of Chinese patients with cancer. Survival analysis was performed using weighted (NHANES) or unweighted (INSCOC) Cox survival analyses. The normal BMI group was used as a reference for all comparisons. Systemic inflammation was defined as neutrophil-to-lymphocyte ratio (NLR) > 3. Model-based causal mediation analysis was used to identify the mediators. RESULTS A total of 52 270 (weighted population: 528506229) participants of the NHANES [mean follow-up times: 10.2 years; mean age (SD): 47 (19.16) years] were included in the original cohort; and a total of 17 418 patients with cancer of INSCOC [mean follow-up times: 2.9 years; mean age (SD): 57.37 (11.66) years] were included in the validation cohort. In the subgroups of all the participants, the obesity paradigm was more apparent in older participants and participants with disease [HR (95% CI): age ≥ 65 years, 0.84 (0.76, 0.93); with cancer, 0.84 (0.71, 0.99); with CVD, 0.74 (0.65, 0.85)]. As aged, the protective effect of a high BMI on survival gradually increased and a high BMI showed the effect of a protective factor on older participants [for obese II, HR (95% CI): young adults, 1.91 (1.40, 2.62); middle age, 1.56 (1.28, 1.91); old adults, 0.85 (0.76, 0.96]). The aged-related obesity paradigm in patients with cancer from the NHANES was verified in the INSCOC cohorts [for obese, HR (95%CI): 0.65 (0.52, 0.81)]. The NLR is an important mediator of the effect of BMI on survival (proportion of mediation = 15.4%). CONCLUSIONS The obesity paradigm has a strong correlation with age. Relative to normal weight, obese in young people was association with higher all-cause mortality, and obese in elderly people was not association with higher mortality. The protection of obesity is association with systemic inflammation.
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Affiliation(s)
- Yi-Zhong Ge
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Colorectal Surgery, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qin-Hua Yao
- Department of Integrated Chinese and Western Medicine, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
- Integrated Traditional Chinese and Western Medicine Oncology Laboratory, Key Laboratory of Traditional Chinese Medicine of Zhejiang Province, Hangzhou, China
- Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou, China
| | - Xian Shen
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
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Park JY, Bu SY. The ability of the geriatric nutritional risk index to predict the risk of heart diseases in Korean adults: a Korean Genome and Epidemiology Study cohort. Front Nutr 2023; 10:1276073. [PMID: 37964931 PMCID: PMC10641288 DOI: 10.3389/fnut.2023.1276073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 10/18/2023] [Indexed: 11/16/2023] Open
Abstract
Introduction The predictive ability of nutritional risk index on cardiovascular outcomes in middle-aged and non-hospitalized adults has not yet been reported. This study investigated whether the Geriatric Nutritional Risk Index (GNRI), an index for assessing the risk of developing malnutrition, could predict heart disease in middle-aged Korean adults. Methods The cohort used in this study consisted of 3,783 participants selected from 10,030 Korean adults who participated in the Ansan-Ansung cohort study as part of the Korean Genome and Epidemiology Study. The GNRI was determined based on serum albumin level, proportion of current weight, and ideal body weight. Participants were then divided into two groups: GNRI ≤98 and > 98, which corresponded to the risk of malnutrition and normal, respectively. The major outcome of this study was coronary artery disease (CAD) or congestive heart failure (CHF) during a 15-year-follow period. Results During the follow-up period spanning 2004-2018, 136 events of heart disease occurred. Using a Kaplan-Meier analysis, event-free rates were found to be associated with 90.5% on a GNRI ≤98 and 96.6% on a GNRI >98 (p < 0.0009). GNRI ≤98 showed a 3.2-fold (hazard ratio, 3.22; 95% credit interval, 1.49-6.96; p = 0.0029) increase in the incidence of heart disease, including CAD or CHF, compared with GNRI >98, after controlling for potential confounders. Conclusion Malnutrition risk confers a significantly increased risk for heart disease in middle-aged Koreans. Further studies with larger cohorts are needed to verify the efficacy of the GNRI in predicting disease risk in adults with pre-disease.
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Xu C, Guo Y, Zhang S, Lai Y, Huang M, Zhan R, Liu M, Xiong Z, Huang Y, Huang R, Liao X, Zhuang X, Cai Z. Visceral adiposity index and the risk of heart failure, late-life cardiac structure, and function in ARIC study. Eur J Prev Cardiol 2023; 30:1182-1192. [PMID: 37036032 DOI: 10.1093/eurjpc/zwad099] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 03/29/2023] [Accepted: 03/31/2023] [Indexed: 04/11/2023]
Abstract
BACKGROUND It is well established that obesity is associated with the risk of heart failure (HF). However, the data about relationship between visceral fat and the risk of HF are limited. AIMS We aim to evaluate the association between visceral obesity assessed by visceral adiposity index (VAI) and incident HF and left ventricular (LV) structure and function in Atherosclerosis Risk in Communities (ARIC) study. METHODS We included 12 161 participants (aged 54.1 ± 5.8 years) free of history of HF and coronary heart disease at baseline (1987-89) in ARIC study. We used multivariable Cox hazard regression models to assess the association between the VAI and incident HF. We further explored the effects of the VAI on LV geometry and function among 4817 participants with echocardiographic data using multivariable linear regression analysis and multinomial logistic regression. RESULTS During a median follow-up of 22.5 years, a total of 1904 (15.7%) participants developed HF. After adjustment for traditional HF risk factors, 1 unit increase in the baseline VAI was associated with an 8% higher risk of incident HF [hazard ratio (HR): 1.08, 95% confidence interval (CI): 1.06-1.11]. Results were similar when participants were categorized by VAI tertiles. Compared with participants in the lowest tertile of VAI, those in the second tertile and third tertile had a greater risk of incident HF [HR (95% CI): 1.19 (1.05-1.34) and 1.42 (1.26-1.61), respectively]. For the analyses of the HF subtypes, the higher VAI was only associated with the risk of HF with preserved ejection fraction, not with HF with reduced ejection fraction. In addition, the greater VAI was associated with worse LV diastolic function and abnormal LV geometry including concentric remodelling, concentric hypertrophy, and eccentric hypertrophy. CONCLUSION This study shows that higher VAI was independently associated with the increased risk of incident HF and abnormal LV geometry and LV diastolic dysfunction.
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Affiliation(s)
- Chaoguang Xu
- Cardiology Department, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Yue Guo
- Cardiology Department, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Shaozhao Zhang
- Cardiology Department, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Yuhui Lai
- Cardiology Department, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Mengting Huang
- Cardiology Department, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Rongjian Zhan
- Zhongshan School of Medicine, Sun Yat-Sen University
| | - Menghui Liu
- Cardiology Department, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Zhenyu Xiong
- Cardiology Department, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Yiquan Huang
- Cardiology Department, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Rihua Huang
- Cardiology Department, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Xinxue Liao
- Cardiology Department, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Xiaodong Zhuang
- Cardiology Department, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Zhixiong Cai
- Cardiology Department, Shantou Central Hospital, 114 Waima Road, Shantou 515031, China
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9
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Kwak S, Lee HJ, Kim S, Park JB, Lee SP, Kim HK, Kim YJ. Machine learning reveals sex-specific associations between cardiovascular risk factors and incident atherosclerotic cardiovascular disease. Sci Rep 2023; 13:9364. [PMID: 37291421 PMCID: PMC10250402 DOI: 10.1038/s41598-023-36450-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 06/03/2023] [Indexed: 06/10/2023] Open
Abstract
We aimed to investigate sex-specific associations between cardiovascular risk factors and atherosclerotic cardiovascular disease (ASCVD) risk using machine learning. We studied 258,279 individuals (132,505 [51.3%] men and 125,774 [48.7%] women) without documented ASCVD who underwent national health screening. A random forest model was developed using 16 variables to predict the 10-year ASCVD in each sex. The association between cardiovascular risk factors and 10-year ASCVD probabilities was examined using partial dependency plots. During the 10-year follow-up, 12,319 (4.8%) individuals developed ASCVD, with a higher incidence in men than in women (5.3% vs. 4.2%, P < 0.001). The performance of the random forest model was similar to that of the pooled cohort equations (area under the receiver operating characteristic curve, men: 0.733 vs. 0.727; women: 0.769 vs. 0.762). Age and body mass index were the two most important predictors in the random forest model for both sexes. In partial dependency plots, advanced age and increased waist circumference were more strongly associated with higher probabilities of ASCVD in women. In contrast, ASCVD probabilities increased more steeply with higher total cholesterol and low-density lipoprotein (LDL) cholesterol levels in men. These sex-specific associations were verified in the conventional Cox analyses. In conclusion, there were significant sex differences in the association between cardiovascular risk factors and ASCVD events. While higher total cholesterol or LDL cholesterol levels were more strongly associated with the risk of ASCVD in men, older age and increased waist circumference were more strongly associated with the risk of ASCVD in women.
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Affiliation(s)
- Soongu Kwak
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro 101, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Hyun-Jung Lee
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro 101, Jongno-gu, Seoul, 03080, Republic of Korea.
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
| | - Seungyeon Kim
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro 101, Jongno-gu, Seoul, 03080, Republic of Korea.
- College of Pharmacy, Dankook University, Dandae-ro 119, Dongnam-gu, Cheonan-si, Chungcheongnam-do, 31116, Republic of Korea.
| | - Jun-Bean Park
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro 101, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Seung-Pyo Lee
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro 101, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Hyung-Kwan Kim
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro 101, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Yong-Jin Kim
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro 101, Jongno-gu, Seoul, 03080, Republic of Korea
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10
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Halasz G, Bandera F, Piepoli M. Editorial comments: Focus on lipid, obesity, and eating behaviour. Eur J Prev Cardiol 2023; 30:287-289. [PMID: 36860194 DOI: 10.1093/eurjpc/zwad037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Affiliation(s)
- Geza Halasz
- Azienda Ospedaliera San Camillo-Forlanini, Circonvallazione Gianicolense, 87, 00152 Rome, Italy
| | - Francesco Bandera
- Clinical Cardiology, IRCCS Policlinico San Donato, Via Morandi 30, 20097 San Donato Milanese, Milan, Italy
- Department of Biomedical Science for Heath, University of Milan, Via Festa del Perdono 7, 20122 Milan, Italy
| | - Massimo Piepoli
- Clinical Cardiology, IRCCS Policlinico San Donato, Via Morandi 30, 20097 San Donato Milanese, Milan, Italy
- Department of Biomedical Science for Heath, University of Milan, Via Festa del Perdono 7, 20122 Milan, Italy
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11
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Ding J, Chen X, Shi Z, Bai K, Shi S. Association of body roundness index and its trajectories with all-cause and cardiovascular mortality among a Chinese middle-aged and older population: A retrospective cohort study. Front Public Health 2023; 11:1107158. [PMID: 37033022 PMCID: PMC10076882 DOI: 10.3389/fpubh.2023.1107158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 03/08/2023] [Indexed: 04/11/2023] Open
Abstract
Objectives The body roundness index (BRI) is a novel anthropometric index that is a better indicator for predicting fat distribution than the body mass index (BMI). The longitudinal study can repeatedly collect measured results for the variables to be studied and then consider the potential effects of intraindividual changes in measurement. However, few population-based, longitudinal studies of BRI have been conducted, especially among the Chinese population. The study aimed to investigate the association of BRI and its longitudinal trajectories with all-cause and cardiovascular mortality. Methods A total of 71,166 participants with four times BRI measurements between January 2010 and December 2019 were included in this longitudinal study, with a median follow-up was 7.93 years, and 11,538 deaths were recorded, of which 5,892 deaths were due to cardiovascular disease (CVD). A latent class growth mixture modeling (LCGMM) was used to identify BRI trajectories. Cox proportional hazard models were used to estimate associations between BRI trajectories and the risk of all-cause and cardiovascular mortality. Results In the restricted cubic spline regression models, a U-shaped relationship between BRI and all-cause and cardiovascular mortality was observed. Three BRI longitudinal trajectories of low-stable (mean BRI = 2.59), moderate-stable (mean BRI = 3.30), and high-stable (mean BRI = 3.65) were identified by LCGMM. After being adjusted for potential confounders, the HRs for all-cause mortality were 1.18 (1.13-1.24) for the moderate-stable group and 1.74 (1.66-1.82) for the high-stable group compared to the low-stable group. The HRs for cardiovascular mortality were 1.12 (1.05-1.18) for the moderate-stable group and 1.64 (1.53-1.75) for the high-stable group compared to the low-stable group. Conclusion A nonlinear association of BRI with all-cause and cardiovascular mortality was observed, and participants in the higher BRI longitudinal trajectory group were significantly associated with an increased risk of all-cause and cardiovascular mortality.
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Affiliation(s)
- Jiacheng Ding
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Xuejiao Chen
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhan Shi
- Department of Pharmacy, Zhengzhou People’s Hospital, Zhengzhou, Henan, China
| | - Kaizhi Bai
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Songhe Shi
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- *Correspondence: Songhe Shi,
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12
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Halasz G, Piepoli MF. Focus on population science. Eur J Prev Cardiol 2022; 29:1369-1371. [PMID: 35917441 DOI: 10.1093/eurjpc/zwac136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Geza Halasz
- Cardiac Unit, G. da Saliceto Hospital, AUSL Piacenza, Italy
| | - Massimo F Piepoli
- Institute of Life Sciences, Sant'Anna School of Advanced Studies, Pisa, Italy.,Department of Preventive Cardiology, Wroclaw Medical University, Wroclaw, Poland
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13
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Kim MK, Han K, Lee SH. Current Trends of Big Data Research Using the Korean National Health Information Database. Diabetes Metab J 2022; 46:552-563. [PMID: 35929173 PMCID: PMC9353560 DOI: 10.4093/dmj.2022.0193] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 06/30/2022] [Indexed: 11/08/2022] Open
Abstract
Recently, medical research using big data has become very popular, and its value has become increasingly recognized. The Korean National Health Information Database (NHID) is representative of big data that combines information obtained from the National Health Insurance Service collected for claims and reimbursement of health care services and results obtained from general health examinations provided to all Korean adults. This database has several strengths and limitations. Given the large size, various laboratory data, and questionnaires obtained from medical check-ups, their longitudinal nature, and long-term accumulation of data since 2002, carefully designed studies may provide valuable information that is difficult to obtain from other forms of research. However, consideration of possible bias and careful interpretation when defining causal relationships is also important because the data were not collected for research purposes. After the NHID became publicly available, research and publications based on this database have increased explosively, especially in the field of diabetes and metabolism. This article reviews the history, structure, and characteristics of the Korean NHID. Recent trends in big data research using this database, commonly used operational diagnosis, and representative studies have been introduced. We expect further progress and expansion of big data research using the Korean NHID.
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Affiliation(s)
- Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul,
Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul,
Korea
| | - Seung-Hwan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul,
Korea
- Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul,
Korea
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