Health octo tool matches personalized health with rate of aging

Medical practice mainly addresses single diseases, neglecting multimorbidity as a heterogeneous health decline across organ systems. Aging is a multidimensional process and cannot be captured by a single metric. Therefore, we assessed global health in longitudinal studies, BLSA (n = 907), InCHIANTI (n = 986), and NHANES (n = 40,790), by examining disease severities in 13 bodily systems, generating the Body Organ Disease Number (BODN), reflecting progressive system morbidities. We used Bayesian ordinal models, regressing BODN over organ specific and all organs disease severities to obtain Body System-Specific Clocks and the Body Clock, respectively. The Body Clock is BODN weighted by the posterior coefficient of diseases for each individual. It supersedes the frailty index, predicting disability, geriatric syndrome, SPPB, and mortality with ≥90% accuracy. The Health Octo Tool, derived from Bodily System-Specific Clocks, the Body Clock and Clocks that incorporate walking speed and disability and their aging rates, captures multidimensional aging heterogeneity across organs and individuals.

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Publication Details

Journal
Nature Communications
Published
2025-05-05
DOI
https://doi.org/10.1038/s41467-025-58819-x
Citations
6
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
7.34
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article

Health octo tool matches personalized health with rate of aging

Marcel E. Salive, Daniel Raftery, Aki Vehtari, Luigi Ferrucci et al.
6 citations
Nature Communications
Frailty in Older Adults
7.34
article

Health octo tool matches personalized health with rate of aging

Marcel E. Salive, Daniel Raftery, Aki Vehtari, Luigi Ferrucci, Matt R. Kaeberlein, Shabnam Salimi
article en
6 citations

Abstract

Medical practice mainly addresses single diseases, neglecting multimorbidity as a heterogeneous health decline across organ systems. Aging is a multidimensional process and cannot be captured by a single metric. Therefore, we assessed global health in longitudinal studies, BLSA (n = 907), InCHIANTI (n = 986), and NHANES (n = 40,790), by examining disease severities in 13 bodily systems, generating the Body Organ Disease Number (BODN), reflecting progressive system morbidities. We used Bayesian ordinal models, regressing BODN over organ specific and all organs disease severities to obtain Body System-Specific Clocks and the Body Clock, respectively. The Body Clock is BODN weighted by the posterior coefficient of diseases for each individual. It supersedes the frailty index, predicting disability, geriatric syndrome, SPPB, and mortality with ≥90% accuracy. The Health Octo Tool, derived from Bodily System-Specific Clocks, the Body Clock and Clocks that incorporate walking speed and disability and their aging rates, captures multidimensional aging heterogeneity across organs and individuals.

Nature CommunicationsVol. 16(1)
University of Washington (US), University of Washington Medical Center (US), Behavioral Tech Research, Inc. (US), National Institute on Aging (US), Aalto University (FI)
Good health and well-being
Openalex Percentile: Top 3%
Frailty in Older Adults
7.34
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