The vulnerable elders-13 survey predicts 5-year functional decline and mortality outcomes in older ambulatory care patients
- PMID: 19793154
- PMCID: PMC3181130
- DOI: 10.1111/j.1532-5415.2009.02497.x
The vulnerable elders-13 survey predicts 5-year functional decline and mortality outcomes in older ambulatory care patients
Abstract
Objectives: To test the predictive properties of the Vulnerable Elders-13 Survey (VES-13) a short tool that predicts functional decline and mortality over a 1- to 2-year follow-up interval over a 5-year interval.
Design: Longitudinal evaluation with mean follow-up of 4.5 years.
Setting: Two managed-care organizations.
Participants: Six hundred forty-nine community-dwelling older adults (> or = 75) enrolled in the Assessing Care of Vulnerable Elders observational study who screened positive for symptoms of falls or fear of falling, bothersome urinary incontinence, or memory problems.
Measurements: VES-13 score (range 1-10, higher score indicates worse prognosis), functional decline (decline in count of 5 activities of daily living or nursing home entry), and deaths.
Results: Higher VES-13 scores were associated with greater predicted probability of death and decline in older patients over a mean observation period of 4.5 years. For each additional VES-13 point, the odds of the combined outcome of functional decline or death was 1.37 (95% confidence interval (CI)=1.25-1.50), and the area under the receiver operating curve was 0.75 (95% CI=0.71-0.80). In the Cox proportional hazards model predicting time to death, the hazard ratio was 1.23 (95% CI=1.19-1.27) per additional VES-13 point.
Conclusion: This study extends the utility of the VES-13 to clinical decisions that require longer-term prognostic estimates of functional status and survival.
Figures
Predicted probability of death
Combined probability of functional decline + death VES-13 = Vulnerable Elders-13 Survey Predicted probabilities of death (dotted line) or the additive probability of functional decline and death (solid line) were calculated based on a multinomial logistic regression with cluster adjustment for primary care clinician and weighted for loss to follow up.
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