The diabetes mellitus multimorbidity network in hospitalized patients over 50 years of age in China: data mining of medical records

被引:0
|
作者
Chen, Chao [1 ,2 ]
Zheng, Xueting [1 ,2 ]
Liao, Shaobing [1 ,2 ]
Chen, Shimin [1 ]
Liang, Minyi [1 ]
Tang, Kang [1 ]
Yin, Mingjuan [1 ]
Liu, Huansheng [1 ]
Ni, Jindong [1 ,3 ]
机构
[1] Guangdong Med Univ, Precis Key Lab Publ Hlth, Sch Publ Hlth, 1 Xincheng Rd, Dongguan 523808, Guangdong, Peoples R China
[2] Guangdong Med Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Dongguan, Guangdong, Peoples R China
[3] Guangdong Med Univ, Shunde Women & Childrens Hosp, Maternal & Child Res Inst, Foshan, Peoples R China
基金
中国国家自然科学基金;
关键词
Diabetes mellitus; Multimorbidity; Aging; Association rule mining; Non-communicable diseases; PATTERNS; COMORBIDITY; ASSOCIATION; HEALTH; PREVALENCE; DISEASES; ADULTS; RISK;
D O I
10.1186/s12889-024-18887-y
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective Many diabetes mellitus (DM) patients suffer from multimorbidity. Understanding the DM multimorbidity network should be given priority. The purpose of this study is characterize the DM multimorbidity network in people over 50 years.Methods Data on 75 non-communicable diseases (NCDs) were extracted from electronic medical records of 309,843 hospitalized patients older than 50 years who had at least one NCD. The association rules analysis was used as a novel classification method and combined with the Chi-square tests to identify associations between NCDs and DM.Result A total of 12 NCDs were closely related to DM, {cholelithiasis, DM} was an unexpected combination. {dyslipidemia, DM} and {gout, DM} had the largest lift \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text{lift}$$\end{document} in the male and female groups, respectively. The negative related group included 7 NCDs. There were 9 NCDs included in the strong association rules. Most combinations were different by age and sex. In males, the strongest rule was {peripheral vascular disease (PVD), dyslipidemia, DM}, while {hypertension, dyslipidemia, chronic liver disease (CLD), DM} was the strongest in females. In patients younger than 70 years, hypertension, CLD, and dyslipidemia were the most dominant NCDs in the DM multimorbidity network. In patients 70 years or older, chronic kidney disease (CKD), CVD, CHD, and heart disease (HD) frequently co-occurred with DM.Conclusion Future primary healthcare policies for DM should be formulated based on age and sex. In patients younger than 70 years, more attention to hypertension, CLD, and dyslipidemia is required, while attention to CKD, CVD, CHD and HD is needed in patients older than 70 years.
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