Key result
Network analysis of systemic diseases revealed respiratory diseases had the highest multimorbidity weight in young people, whereas endocrine, metabolic, and circulatory diseases dominated in older adults.
Why the study?
Multimorbidity impairs quality of life and imposes an economic burden, but the connections between diseases and the role each plays in the overall multimorbidity network required clarification.
Cross-Sectional (n=1,155,734)
Yes
p-value: p=< 0.001
In a large Chinese inpatient cohort, respiratory diseases drove multimorbidity in the young, whereas cardiometabolic diseases were the primary drivers in middle-aged and older adults.
May inform age-stratified multimorbidity screening; hypothesis-generating and requires longitudinal validation before practice change.
BACKGROUND: Multimorbidity not only affects the quality of patients' lives, but can also bring a heavy economic burden to individuals, families and society. The purpose of this study was to reveal the connections between diseases, especially the important role each disease played in the entire multimorbidity network. METHODS: A total of 1,155,734 inpatients were enrolled through multistage stratified random sampling in Jilin Province in 2017. Categorical variables were compared using the Rao-Scott-χ2 test. Weighted networks were adopted to present the complex relationships of multimorbidity. RESULTS: < 0.001). Diseases of the respiratory system had the highest weight in multimorbidity in young people. Endocrine, nutritional and metabolic diseases and circulatory system diseases were often associated with other systemic diseases in middle aged and old people. CONCLUSIONS: Multimorbidity with respiratory system diseases in young people should not be overlooked. Additionally, effective prevention efforts that target endocrine, nutritional and metabolic diseases and circulatory system diseases are needed in middle aged and old people.
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Yu et al. (2020) conducted a cross-sectional in Multimorbidity (n=1,155,734). Systemic diseases was evaluated on Connections between diseases in the multimorbidity network (p=< 0.001). Network analysis of systemic diseases revealed respiratory diseases had the highest multimorbidity weight in young people, whereas endocrine, metabolic, and circulatory diseases dominated in older adults.
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