The diabetes mellitus multimorbidity network in hospitalized patients over 50 years of age in China: data mining of medical records #MMPMID38811975
Chen C; Zheng X; Liao S; Chen S; Liang M; Tang K; Yin M; Liu H; Ni J
BMC Public Health 2024[May]; 24 (1): 1433 PMID38811975show ga
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 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.
|*Data Mining[MESH]
|*Diabetes Mellitus/epidemiology[MESH]
|*Multimorbidity[MESH]
|Aged[MESH]
|Aged, 80 and over[MESH]
|China/epidemiology[MESH]
|Electronic Health Records/statistics & numerical data[MESH]
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BMC+Public+Health 2024 ; 24 (1): 1433
