April 23, 2019Circulation Cardiovascular Quality and Outcomes
Predicting 30-Day Readmissions in Older Adults With Acute Myocardial Infarction
Population
>3000 patients ≥75 years of age with acute myocardial infarction enrolled at 94 hospitals in the United…
Design
Editorial
Follow-up
30 days
Authors
Discussion
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Implication
Incorporating geriatric-specific variables, particularly functional mobility, into risk models improves the prediction of 30-day readmissions in older adults hospitalized with acute myocardial infarction.
Structured PICO
P
Population
>3000 patients ≥75 years of age with acute myocardial infarction enrolled at 94 hospitals in the United States (mean age 81.5 years, 44.4% women, 10.5% nonwhite).
I
Intervention
Risk prediction model incorporating geriatric-focused variables (e.g., functional mobility assessed by Timed Up-and-Go test).
O
Outcome
30-day all-cause readmission
Incorporating geriatric-specific variables, particularly functional mobility, into risk models improves the prediction of 30-day readmissions in older adults hospitalized with acute myocardial infarction.
Limitations
- Uncertain generalizability as only about one-third of eligible patients were enrolled
- Limited to 30-day all-cause readmissions, which lacks patient-centeredness and has uncertain validity as an index of quality of care
- Model calibration remains limited in its capacity to accurately discriminate between readmitted versus nonreadmitted patients
Cite This Study
Michael W. Rich (2019) studied this question.