Study on the risk for cerebrovascular disease among subtypes of middle-aged and elderly type 2 diabetes mellitus patients aged between 35‒74 years in Shanghai suburbs
ObjectiveTo classify subtypes among middle-aged and elderly type 2 diabetes mellitus (T2DM) patients aged between 35‒74 years in Shanghai suburbs, to compare their characteristics and analyze incidence risk for cerebrovascular disease among these subtypes, so as to promote personalized and precise t...
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Shanghai Preventive Medicine Association
2024-12-01
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| Series: | Shanghai yufang yixue |
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| Online Access: | http://www.sjpm.org.cn/article/doi/10.19428/j.cnki.sjpm.2024.24324?viewType=HTML |
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| author | ZHANG Chengjun XIAO Qiu LIU Zhenqiu SUO Chen ZHANG Tiejun ZHAO Genming JIANG Yanfeng XU Kelin CHEN Xingdong |
| author_facet | ZHANG Chengjun XIAO Qiu LIU Zhenqiu SUO Chen ZHANG Tiejun ZHAO Genming JIANG Yanfeng XU Kelin CHEN Xingdong |
| author_sort | ZHANG Chengjun |
| collection | DOAJ |
| description | ObjectiveTo classify subtypes among middle-aged and elderly type 2 diabetes mellitus (T2DM) patients aged between 35‒74 years in Shanghai suburbs, to compare their characteristics and analyze incidence risk for cerebrovascular disease among these subtypes, so as to promote personalized and precise treatment of T2DM.MethodsA total of 7 792 patients with T2DM who completed a baseline survey from 2016 and 2019 were selected as the research subjects, based on the data from a natural population cohort and biobank in Shanghai suburbs. Patients were stratified by gender and clustered into subtypes using k-means method based on baseline parameters including the age at T2DM diagnosis, body mass index (BMI), fasting blood glucose, and triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C). Patients were followed up until March 31, 2023. Multivariate Cox regression models were used to analyze the association between subtypes and incidence risk for cerebrovascular disease, and those with cerebrovascular disease within 1 year of follow-up survey were excluded from sensitivity analysis.ResultsAmong the 7 792 patients with T2DM, 3 615 were males and 4 177 were females. Stratified by gender, 4 subgroups were identified through k-means clustering analysis, namely poor blood glucose control subgroup, severe insulin-resistant subgroup, younger onset subgroup, and older onset subgroup. The median follow-up time was 4.30 years, during which 1 960 cerebrovascular disease events were observed (844 in males, 1 116 in females). After adjusting for smoking, alcohol consumption, weekly exercise, family history of diabetes mellitus, and duration of diabetes mellitus, among male patients, the incidence risk for cerebrovascular disease was lower in the younger onset subgroup (HR=0.59, 95%CI: 0.48‒0.73, P<0.001), poor blood glucose control subgroup (HR=0.81, 95%CI: 0.65‒1.00, P=0.046), and severe insulin-resistant subgroup (HR=0.61, 95%CI: 0.50‒0.75, P<0.001), compared to the older onset subgroup. While among female patients, the incidence risk for cerebrovascular disease was also lower in the younger onset subgroup (HR=0.68, 95%CI: 0.57‒0.80, P<0.001), poor blood glucose control subgroup (HR=0.73, 95%CI: 0.60‒0.89, P=0.002), and severe insulin-resistant subgroup (HR=0.72, 95%CI: 0.61‒0.85, P<0.001), compared to the older onset subgroup. Results of the sensitivity analysis were consistent with the main findings.ConclusionAmong middle-aged and elderly T2DM patients in suburban Shanghai, both male and female patients have the highest incidence risk for cerebrovascular disease in the older onset subgroup. Subtyping of T2DM patients can help to identify the high-risk populations of cerebrovascular disease. |
| format | Article |
| id | doaj-art-9e403d069eb6485d85fa2a65040954c8 |
| institution | OA Journals |
| issn | 1004-9231 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Shanghai Preventive Medicine Association |
| record_format | Article |
| series | Shanghai yufang yixue |
| spelling | doaj-art-9e403d069eb6485d85fa2a65040954c82025-08-20T02:17:57ZzhoShanghai Preventive Medicine AssociationShanghai yufang yixue1004-92312024-12-0136121148115610.19428/j.cnki.sjpm.2024.243241004-9231(2024)12-1148-09Study on the risk for cerebrovascular disease among subtypes of middle-aged and elderly type 2 diabetes mellitus patients aged between 35‒74 years in Shanghai suburbsZHANG Chengjun0XIAO Qiu1LIU Zhenqiu2SUO Chen3ZHANG Tiejun4ZHAO Genming5JIANG Yanfeng6XU Kelin7CHEN Xingdong8Department of Epidemiology & Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai 200032, ChinaDepartment of Epidemiology & Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai 200032, ChinaState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai 200438, ChinaDepartment of Epidemiology & Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai 200032, ChinaDepartment of Epidemiology & Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai 200032, ChinaDepartment of Epidemiology & Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai 200032, ChinaState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai 200438, ChinaFudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu 225316, ChinaState Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai 200438, ChinaObjectiveTo classify subtypes among middle-aged and elderly type 2 diabetes mellitus (T2DM) patients aged between 35‒74 years in Shanghai suburbs, to compare their characteristics and analyze incidence risk for cerebrovascular disease among these subtypes, so as to promote personalized and precise treatment of T2DM.MethodsA total of 7 792 patients with T2DM who completed a baseline survey from 2016 and 2019 were selected as the research subjects, based on the data from a natural population cohort and biobank in Shanghai suburbs. Patients were stratified by gender and clustered into subtypes using k-means method based on baseline parameters including the age at T2DM diagnosis, body mass index (BMI), fasting blood glucose, and triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C). Patients were followed up until March 31, 2023. Multivariate Cox regression models were used to analyze the association between subtypes and incidence risk for cerebrovascular disease, and those with cerebrovascular disease within 1 year of follow-up survey were excluded from sensitivity analysis.ResultsAmong the 7 792 patients with T2DM, 3 615 were males and 4 177 were females. Stratified by gender, 4 subgroups were identified through k-means clustering analysis, namely poor blood glucose control subgroup, severe insulin-resistant subgroup, younger onset subgroup, and older onset subgroup. The median follow-up time was 4.30 years, during which 1 960 cerebrovascular disease events were observed (844 in males, 1 116 in females). After adjusting for smoking, alcohol consumption, weekly exercise, family history of diabetes mellitus, and duration of diabetes mellitus, among male patients, the incidence risk for cerebrovascular disease was lower in the younger onset subgroup (HR=0.59, 95%CI: 0.48‒0.73, P<0.001), poor blood glucose control subgroup (HR=0.81, 95%CI: 0.65‒1.00, P=0.046), and severe insulin-resistant subgroup (HR=0.61, 95%CI: 0.50‒0.75, P<0.001), compared to the older onset subgroup. While among female patients, the incidence risk for cerebrovascular disease was also lower in the younger onset subgroup (HR=0.68, 95%CI: 0.57‒0.80, P<0.001), poor blood glucose control subgroup (HR=0.73, 95%CI: 0.60‒0.89, P=0.002), and severe insulin-resistant subgroup (HR=0.72, 95%CI: 0.61‒0.85, P<0.001), compared to the older onset subgroup. Results of the sensitivity analysis were consistent with the main findings.ConclusionAmong middle-aged and elderly T2DM patients in suburban Shanghai, both male and female patients have the highest incidence risk for cerebrovascular disease in the older onset subgroup. Subtyping of T2DM patients can help to identify the high-risk populations of cerebrovascular disease.http://www.sjpm.org.cn/article/doi/10.19428/j.cnki.sjpm.2024.24324?viewType=HTMLtype 2 diabetes mellituscomplicationclusteringsubtyping classificationcerebrovascular disease |
| spellingShingle | ZHANG Chengjun XIAO Qiu LIU Zhenqiu SUO Chen ZHANG Tiejun ZHAO Genming JIANG Yanfeng XU Kelin CHEN Xingdong Study on the risk for cerebrovascular disease among subtypes of middle-aged and elderly type 2 diabetes mellitus patients aged between 35‒74 years in Shanghai suburbs Shanghai yufang yixue type 2 diabetes mellitus complication clustering subtyping classification cerebrovascular disease |
| title | Study on the risk for cerebrovascular disease among subtypes of middle-aged and elderly type 2 diabetes mellitus patients aged between 35‒74 years in Shanghai suburbs |
| title_full | Study on the risk for cerebrovascular disease among subtypes of middle-aged and elderly type 2 diabetes mellitus patients aged between 35‒74 years in Shanghai suburbs |
| title_fullStr | Study on the risk for cerebrovascular disease among subtypes of middle-aged and elderly type 2 diabetes mellitus patients aged between 35‒74 years in Shanghai suburbs |
| title_full_unstemmed | Study on the risk for cerebrovascular disease among subtypes of middle-aged and elderly type 2 diabetes mellitus patients aged between 35‒74 years in Shanghai suburbs |
| title_short | Study on the risk for cerebrovascular disease among subtypes of middle-aged and elderly type 2 diabetes mellitus patients aged between 35‒74 years in Shanghai suburbs |
| title_sort | study on the risk for cerebrovascular disease among subtypes of middle aged and elderly type 2 diabetes mellitus patients aged between 35 74 years in shanghai suburbs |
| topic | type 2 diabetes mellitus complication clustering subtyping classification cerebrovascular disease |
| url | http://www.sjpm.org.cn/article/doi/10.19428/j.cnki.sjpm.2024.24324?viewType=HTML |
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