Emerging approaches to multiple chronic condition assessment.

Autor: Suls J; Feinstein Institutes for Medical Research/Northwell Health (previously National Cancer Institute), New York City, New York, USA., Salive ME; National Institute on Aging, Bethesda, Maryland, USA., Koroukian SM; Case Western Reserve University, Cleveland, Ohio, USA., Alemi F; George Mason University, Fairfax, Virginia, USA., Silber JH; University of Pennsylvania, Philadelphia, Pennsylvania, USA., Kastenmüller G; Helmholtz Zentrum München, Institute for Computational Biology, Oberschleißheim, Germany., Klabunde CN; Office of Disease Prevention, National Institutes of Health, Bethesda, Maryland, USA.
Jazyk: angličtina
Zdroj: Journal of the American Geriatrics Society [J Am Geriatr Soc] 2022 Sep; Vol. 70 (9), pp. 2498-2507. Date of Electronic Publication: 2022 Jun 14.
DOI: 10.1111/jgs.17914
Abstrakt: 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.
(© 2022 The Authors. Journal of the American Geriatrics Society published by Wiley Periodicals LLC on behalf of The American Geriatrics Society.)
Databáze: MEDLINE
Externí odkaz: