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Prediction of disability-free survival in healthy older people.
Neumann, Johannes Tobias; Thao, Le T P; Murray, Anne M; Callander, Emily; Carr, Prudence R; Nelson, Mark R; Wolfe, Rory; Woods, Robyn L; Reid, Christopher M; Shah, Raj C; Newman, Anne B; Williamson, Jeff D; Tonkin, Andrew M; McNeil, John J.
Affiliation
  • Neumann JT; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 99 Commercial Road, Melbourne, Victoria, 3004, Australia. Johannes.neumann@monash.edu.
  • Thao LTP; Department of Cardiology, University Heart & Vascular Centre Hamburg, Hamburg, Germany. Johannes.neumann@monash.edu.
  • Murray AM; German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany. Johannes.neumann@monash.edu.
  • Callander E; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 99 Commercial Road, Melbourne, Victoria, 3004, Australia.
  • Carr PR; Division of Geriatrics, Department of Medicine, Hennepin Healthcare, and Berman Centre for Outcomes and Clinical Research, Hennepin Healthcare Research Institute, Minneapolis, USA.
  • Nelson MR; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 99 Commercial Road, Melbourne, Victoria, 3004, Australia.
  • Wolfe R; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 99 Commercial Road, Melbourne, Victoria, 3004, Australia.
  • Woods RL; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 99 Commercial Road, Melbourne, Victoria, 3004, Australia.
  • Reid CM; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
  • Shah RC; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 99 Commercial Road, Melbourne, Victoria, 3004, Australia.
  • Newman AB; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 99 Commercial Road, Melbourne, Victoria, 3004, Australia.
  • Williamson JD; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 99 Commercial Road, Melbourne, Victoria, 3004, Australia.
  • Tonkin AM; Curtin School of Population Health, Curtin University, Perth, WA, Australia.
  • McNeil JJ; Department of Family Medicine and Rush Alzheimer's Disease Centre, Rush University Medical Centre, Chicago, IL, USA.
Geroscience ; 44(3): 1641-1655, 2022 06.
Article in En | MEDLINE | ID: mdl-35420334
Prolonging survival in good health is a fundamental societal goal. However, the leading determinants of disability-free survival in healthy older people have not been well established. Data from ASPREE, a bi-national placebo-controlled trial of aspirin with 4.7 years median follow-up, was analysed. At enrolment, participants were healthy and without prior cardiovascular events, dementia or persistent physical disability. Disability-free survival outcome was defined as absence of dementia, persistent disability or death. Selection of potential predictors from amongst 25 biomedical, psychosocial and lifestyle variables including recognized geriatric risk factors, utilizing a machine-learning approach. Separate models were developed for men and women. The selected predictors were evaluated in a multivariable Cox proportional hazards model and validated internally by bootstrapping. We included 19,114 Australian and US participants aged ≥65 years (median 74 years, IQR 71.6-77.7). Common predictors of a worse prognosis in both sexes included higher age, lower Modified Mini-Mental State Examination score, lower gait speed, lower grip strength and abnormal (low or elevated) body mass index. Additional risk factors for men included current smoking, and abnormal eGFR. In women, diabetes and depression were additional predictors. The biased-corrected areas under the receiver operating characteristic curves for the final prognostic models at 5 years were 0.72 for men and 0.75 for women. Final models showed good calibration between the observed and predicted risks. We developed a prediction model in which age, cognitive function and gait speed were the strongest predictors of disability-free survival in healthy older people.Trial registration Clinicaltrials.gov (NCT01038583).
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Healthy Aging / Healthy Life Expectancy Type of study: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Aged / Female / Humans / Male Country/Region as subject: Oceania Language: En Journal: Geroscience Year: 2022 Document type: Article Affiliation country: Australia Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Healthy Aging / Healthy Life Expectancy Type of study: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Aged / Female / Humans / Male Country/Region as subject: Oceania Language: En Journal: Geroscience Year: 2022 Document type: Article Affiliation country: Australia Country of publication: Switzerland