Key result
A Discharge prediction model incorporating post-PCI variables modestly improved discrimination for 30-day readmission compared to a pre-PCI model (C-statistic 0.69 vs 0.68; P<0.001).
Population
36,060 patients surviving to discharge after percutaneous coronary intervention in nonfederal hospitals in…
Design
Cohort
Follow-up
30 days
Authors
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Modest gain in readmission prediction at discharge after PCI; leaves open clinical utility pending prospective validation.
Cohort (n=36,060)
Yes
Effect estimate: IDI 0.009
Absolute Event Rate: 0.69% vs 0.68%
p-value: p=<0.001
Prediction models using pre-PCI and discharge variables can identify patients at high risk for 30-day readmission after PCI with modest discrimination.
Wasfy et al. (2013) conducted a cohort in Percutaneous coronary intervention (n=36,060). Discharge prediction model vs. Pre-PCI prediction model was evaluated on Model discrimination for all-cause 30-day readmission (C-statistic) (IDI 0.009, p=<0.001). A Discharge prediction model incorporating post-PCI variables modestly improved discrimination for 30-day readmission compared to a pre-PCI model (C-statistic 0.69 vs 0.68; P<0.001).
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