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Research Article

Development of Multivariable Prediction Models for the Identification of Patients Admitted to Hospital with an Exacerbation of COPD and the Prediction of Risk of Readmission: A Retrospective Cohort Study using Electronic Medical Record Data

, , , , , & show all
Pages 274-283 | Received 06 Jun 2023, Accepted 25 Jul 2023, Published online: 09 Aug 2023

Figures & data

Figure 1. Patient data flow-chart. The ‘Cohort to identify patients with COPD exacerbations’ had 64,609 visits. The ‘Cohort to predict 30-day readmissions’ had 3,372 visits.

Figure 1. Patient data flow-chart. The ‘Cohort to identify patients with COPD exacerbations’ had 64,609 visits. The ‘Cohort to predict 30-day readmissions’ had 3,372 visits.

Table 1. Demographics of cohort to identify admissions coded as COPD exacerbations.

Table 2. Demographics of cohort to predict 30-day readmissions.

Figure 2. Change in performance of logistic regression models to identify AECOPD with stepwise addition of variables of decreasing importance. No significant change in C-Statistic after addition of fourth variable.

Figure 2. Change in performance of logistic regression models to identify AECOPD with stepwise addition of variables of decreasing importance. No significant change in C-Statistic after addition of fourth variable.

Table 3. Performance of 10-fold cross-validation identification of AECOPD models.

Table 4. LASSO and logistic regression models for identification of AECOPD at 20% and 50% decision thresholds.

Figure 3. Change in performance in the 30-day readmission risk logistic regression models with addition of more variables. No significant change in C-Statistic after addition of the second variable.

Figure 3. Change in performance in the 30-day readmission risk logistic regression models with addition of more variables. No significant change in C-Statistic after addition of the second variable.

Table 5. Performance of 8-fold cross validation 30-day readmission risk models.

Table 6. Comparison of 1-variable logistic regression model and HOSPITAL score risk category for 30-day readmission risk at 20% decision threshold.

Table 7. Characteristics of prediction scores to predict readmissions.

Supplemental material

Supplemental Material

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