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BMC Public Health ; 24(1): 1433, 2024 May 29.
Artículo en Inglés | MEDLINE | ID: mdl-38811975

RESUMEN

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.


Asunto(s)
Minería de Datos , Diabetes Mellitus , Multimorbilidad , Humanos , Masculino , Femenino , Anciano , Persona de Mediana Edad , China/epidemiología , Diabetes Mellitus/epidemiología , Hospitalización/estadística & datos numéricos , Registros Electrónicos de Salud/estadística & datos numéricos , Anciano de 80 o más Años , Enfermedades no Transmisibles/epidemiología
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