Key result
Count-based multimorbidity measures show poor discrimination for emergency admissions and functional decline in older adults.
Why the study?
Several multimorbidity measures exist, and the challenge is to decide which to use preferentially in predicting health outcomes in older community-dwelling adults.
Do count-based multimorbidity measures predict emergency admission and functional decline in older community-dwelling adults?
Population
862 community-dwelling adults aged ≥70 years attending primary care in Ireland
Comparison
Five count-based multimorbidity measures including disease counts, selected conditions counts, Charlson comorbidity index, RxRisk-V, medication counts
Design
Prospective cohort study in 15 general practices
Follow-up
2 years
Authors
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Count-based multimorbidity measures should not guide risk stratification in older adults; leaves open whether enriched models improve prediction.
Cohort (n=862)
Yes
Do count-based multimorbidity measures predict emergency admission and functional decline in older community-dwelling adults?
Effect estimate: c-statistic 0.62-0.65
p-value: p=0.24
Count-based multimorbidity measures alone have poor discrimination for predicting emergency admissions and functional decline in older community-dwelling adults.
Wallace et al. (2016) conducted a cohort in Multimorbidity (n=862). Count-based multimorbidity measures was evaluated on Emergency admission (c-statistic 0.62-0.65, p=0.24). Five count-based multimorbidity measures demonstrated poor discrimination in predicting emergency admission (c-statistic 0.62-0.65) and functional decline (c-statistic 0.55-0.61) in older adults.
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