Feinstein Institutes for Medical Research/Northwell Health (previously National Cancer Institute), New York City, New York, USA.
National Institute on Aging, Bethesda, Maryland, USA.
J Am Geriatr Soc. 2022 Sep;70(9):2498-2507. doi: 10.1111/jgs.17914. Epub 2022 Jun 14.
Older adults experience a higher prevalence of multiple chronic conditions (MCCs). Establishing the presence and pattern of MCCs in individuals or populations is important for healthcare delivery, research, and policy. This report describes four emerging approaches and discusses their potential applications for enhancing assessment, treatment, and policy for the aging population. The National Institutes of Health convened a 2-day panel workshop of experts in 2018. Four emerging models were identified by the panel, including classification and regression tree (CART), qualifying comorbidity sets (QCS), the multimorbidity index (MMI), and the application of omics to network medicine. Future research into models of multiple chronic condition assessment may improve understanding of the epidemiology, diagnosis, and treatment of older persons.
老年人患有多种慢性疾病（MCCs）的比例更高。在个人或人群中确定 MCC 的存在和模式对于医疗保健、研究和政策都很重要。本报告介绍了四种新兴方法，并讨论了它们在增强对老龄化人口的评估、治疗和政策方面的潜在应用。美国国立卫生研究院于 2018 年召集了为期两天的专家小组研讨会。专家组确定了四种新兴模式，包括分类和回归树（CART）、合格的合并症集（QCS）、多种合并症指数（MMI）以及组学在网络医学中的应用。对多种慢性疾病评估模型的未来研究可能会提高对老年人的流行病学、诊断和治疗的理解。
