August 9, 2025

Development of Multivariable Prediction Models for 30-Day Risk of Readmission After COPD Hospital Admission: A Retrospective Cohort Study Using Electronic Medical Record Data from 7 Hospitals.

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Retrospective cohort study developed prediction models for 30-day readmission risk in COPD patients, indicating the need for better sensitivity.

Main finding shows that about 15.4% of COPD patients were readmitted within 30 days.
Top-performing prediction models achieved C-statistics of approximately 0.688 to 0.690, indicating moderate accuracy.
The primary predictor for readmission risk was the number of prior hospitalizations in the past year.
Improving sensitivity of these prediction models remains crucial for better patient management and care.

Wu et al. (2025) studied this question.

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August 9, 2025

View Full Paper

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Authors

Retrospective cohort study developed prediction models for 30-day readmission risk in COPD patients, indicating the need for better sensitivity.

Main finding shows that about 15.4% of COPD patients were readmitted within 30 days.
Top-performing prediction models achieved C-statistics of approximately 0.688 to 0.690, indicating moderate accuracy.
The primary predictor for readmission risk was the number of prior hospitalizations in the past year.
Improving sensitivity of these prediction models remains crucial for better patient management and care.

Wu et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark