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原文連結
論文資訊
- 類型：已發表論文
- 日期：2020-03-10
摘要
Background Multimorbidity, the co-occurrence of two or more 疾病s in one patient, is a frequent phenomenon. Understanding how different 疾病s condition each other over the lifetime of a patient could significantly contribute to personalised prevention efforts. However, most of our current knowledge on the long-term development of the health of patients (their 疾病 trajectories) is either confined to narrow time spans or specific (sets of) 疾病s. Here, we aim to identify decisive events that potentially determine the future 疾病 progression of patients. Methods Health states of patients are described by algorithmically identified multimorbidity patterns (groups of included or excluded 疾病s) in a 族群-wide analysis of 9,000,000 patient histories of hospital diagnoses observed over 17 years. Over time, pa
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