Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease (Oct 2020)

Risk Model for Decline in Activities of Daily Living Among Older Adults Hospitalized With Acute Myocardial Infarction: The SILVER‐AMI Study

  • Alexandra M. Hajduk,
  • John A. Dodson,
  • Terrence E. Murphy,
  • Sui Tsang,
  • Mary Geda,
  • Gregory M. Ouellet,
  • Thomas M. Gill,
  • John E. Brush,
  • Sarwat I. Chaudhry

DOI
https://doi.org/10.1161/JAHA.119.015555
Journal volume & issue
Vol. 9, no. 19

Abstract

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Background Functional decline (ie, a decrement in ability to perform everyday activities necessary to live independently) is common after acute myocardial infarction (AMI) and associated with poor long‐term outcomes; yet, we do not have a tool to identify older AMI survivors at risk for this important patient‐centered outcome. Methods and Results We used data from the prospective SILVER‐AMI (Comprehensive Evaluation of Risk Factors in Older Patients With Acute Myocardial Infarction) study of 3041 patients with AMI, aged ≥75 years, recruited from 94 US hospitals. Participants were assessed during hospitalization and at 6 months to collect data on demographics, geriatric impairments, psychosocial factors, and activities of daily living. Clinical variables were abstracted from the medical record. Functional decline was defined as a decrement in ability to independently perform essential activities of daily living (ie, bathing, dressing, transferring, and ambulation) from baseline to 6 months postdischarge. The mean age of the sample was 82±5 years; 57% were men, 90% were White, and 13% reported activity of daily living decline at 6 months postdischarge. The model identified older age, longer hospital stay, mobility impairment during hospitalization, preadmission physical activity, and depression as risk factors for decline. Revascularization during AMI hospitalization and ability to walk a quarter mile before AMI were associated with decreased risk. Model discrimination (c=0.78) and calibration were good. Conclusions We identified a parsimonious model that predicts risk of activity of daily living decline among older patients with AMI. This tool may aid in identifying older patients with AMI who may benefit from restorative therapies to optimize function after AMI.

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