@文章{信息:doi/10.2196/27146，作者=“王丽雅和邱丽雅，航和罗，李和周，李”，标题=“中国西南地区医院出院记录评估的多病模式和时间趋势的年龄和性别差异:基于网络的研究”，期刊=“J医学互联网研究”，年=“2022”，月=“2”，日=“25”，量=“24”，数=“2”，页数=“e27146”，关键词=“多病模式;时间趋势;网络分析;multimorbidity流行;管理数据;纵向研究;背景:多病是一个全球性的健康挑战，这需要对多病模式和趋势有更全面的了解。然而，迄今为止完成的大多数研究往往依赖于自我报告的病情，尚未对慢性疾病共发的整个谱系同时进行评估，特别是在发展中地区。目的:我们试图提供一个多维的方法来了解中国西南地区普通住院患者慢性疾病共发的全谱，以调查多病模式和时间趋势，并评估他们的年龄和性别差异。方法:我们对中国西南部某特大城市2015年至2019年约500万名各年龄段患者的880万份出院记录进行了回顾性队列分析。 We examined all chronic diagnoses using the ICD-10 (International Classification of Diseases, 10th revision) codes at 3 digits and focused on chronic diseases with ≥1{\%} prevalence for each of the age and sex strata, which resulted in a total of 149 and 145 chronic diseases in males and females, respectively. We constructed multimorbidity networks in the general population based on sex and age, and used the cosine index to measure the co-occurrence of chronic diseases. Then, we divided the networks into communities and assessed their temporal trends. Results: The results showed complex interactions among chronic diseases, with more intensive connections among males and inpatients ≥40 years old. A total of 9 chronic diseases were simultaneously classified as central diseases, hubs, and bursts in the multimorbidity networks. Among them, 5 diseases were common to both males and females, including hypertension, chronic ischemic heart disease, cerebral infarction, other cerebrovascular diseases, and atherosclerosis. The earliest leaps (degree leaps ≥6) appeared at a disorder of glycoprotein metabolism that happened at 25-29 years in males, about 15 years earlier than in females. The number of chronic diseases in the community increased over time, but the new entrants did not replace the root of the community. Conclusions: Our multimorbidity network analysis identified specific differences in the co-occurrence of chronic diagnoses by sex and age, which could help in the design of clinical interventions for inpatient multimorbidity. ", issn="1438-8871", doi="10.2196/27146", url="//www.mybigtv.com/2022/2/e27146", url="https://doi.org/10.2196/27146", url="http://www.ncbi.nlm.nih.gov/pubmed/35212632" }