Predictors of readmission for postpartum preeclampsia
Objective: To develop a predictive model for re-admission for postpartum preeclampsia (PPEC). Methods: A case-control study; cases were patients re-admitted for PPEC; controls were not re-admitted. Mixed linear modelling was used to develop a predictive model on the training set, then validated on t...
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| Main Authors: | , , , , , , |
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| Format: | Book |
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Taylor & Francis Group,
2021-07-01T00:00:00Z.
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| Summary: | Objective: To develop a predictive model for re-admission for postpartum preeclampsia (PPEC). Methods: A case-control study; cases were patients re-admitted for PPEC; controls were not re-admitted. Mixed linear modelling was used to develop a predictive model on the training set, then validated on the validation set. Results: Two-hundred-sixty-nine patients were readmitted, and matched to 538 controls. A risk calculator was developed and yielded a sensitivity and specificity for readmission of 80.9% and 53.5%, respectively. Conclusion: A predictive model using age, race, discharge blood pressures, and preeclampsia was able to predict re-admission for PPEC with a high level of sensitivity. |
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| Item Description: | 1064-1955 1525-6065 10.1080/10641955.2021.1975737 |