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Publications

Journal Article Ahead of print

PubMed: 42675189 DOI: 10.1038/s43587-026-01188-x

Multimorbidity patterns influence mobility disability prevention in frail older adults from the SPRINTT trial.

Nat Aging

Authors: Davide Liborio Vetrano, Caterina Gregorio, Federico Triolo, Luca Soraci, Antonio Cherubini, Matteo Tosato, Stephan von Haehling, Emanuele Marzetti, Francesco Landi, Riccardo Calvani

Affiliations

  • Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
  • Stockholm Gerontology Research Center, Stockholm, Sweden.
  • Unit of Geriatric Medicine and Clinical Epidemiology, Italian National Institute of Health and Sciences on Ageing (INRCA IRCCS), Cosenza, Italy.
  • Geriatria, Accettazione Geriatrica e Centro di Ricerca per l'Invecchiamento, INRCA IRCCS, Ancona, Italy.
  • Department of Clinical and Molecular Sciences (DISCLIMO), Università Politecnica delle Marche, Ancona, Italy.
  • Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy.
  • Department of Geriatrics, Orthopaedics and Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy.
  • Department of Cardiology and Pneumology, University Medical Centre Göttingen, Georg-August University, Göttingen, Germany.
  • German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany.
  • Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy.
  • Department of Geriatrics, Orthopaedics and Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy.

Abstract

Preserving independence in older adults is a public health priority. Lifestyle interventions can prevent physical disability, but whether their efficacy is influenced by multimorbidity profiles is unclear. In this post hoc analysis of the SPRINTT randomized trial ( NCT02582138 ), we investigated whether the efficacy of a multicomponent intervention (physical activity with technological support and nutritional counseling) differed across multimorbidity patterns. We included 1,199 community-dwelling adults aged ≥70 years with frailty, sarcopenia and two or more chronic conditions. Latent class analysis identified four multimorbidity patterns: unspecific (55%), psychiatric (24%), cardiometabolic (13%) and respiratory (7%). The intervention reduced the overall risk of mobility disability or death (hazard ratio (HR) 0.78, 95% confidence interval (CI) 0.66-0.92). In subgroup analyses, a significant benefit was observed in participants with a psychiatric multimorbidity pattern (HR 0.65, 95% CI 0.47-0.92). Bayesian partial pooling analyses also supported a beneficial effect in the unspecific pattern (HR 0.80, 95% credible interval 0.69-0.93), while estimates for the cardiometabolic and respiratory patterns were imprecise and not statistically significant. The intervention increased the event-free probability at 24 and 36 months and extended the time free from mobility disability or death by 2.09 months overall. Gains were 3.09 months in the psychiatric pattern and 1.99 months in the unspecific pattern, with no meaningful differences observed in the cardiometabolic and respiratory patterns. These findings suggest that the composition of multimorbidity may influence responsiveness to lifestyle interventions and that stratification based on disease patterns could improve the targeting and effectiveness of preventive strategies in older adults.

MeSH

Aging, Multimorbidity