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BMC Pediatrics
Published in: BMC Pediatrics 1/2019

Open Access 01-12-2019 | Research article

Assessing the risk of early unplanned rehospitalisation in preterm babies: EPIPAGE 2 study

Authors: Robert Anthony Reed, Andrei Scott Morgan, Jennifer Zeitlin, Pierre-Henri Jarreau, Héloïse Torchin, Véronique Pierrat, Pierre-Yves Ancel, Babak Khoshnood

Published in: BMC Pediatrics | Issue 1/2019

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Abstract

Background

Gaining a better understanding of the probability, timing and prediction of rehospitalisation amongst preterm babies could help improve outcomes. There is limited research addressing these topics amongst extremely and very preterm babies. In this context, unplanned rehospitalisations constitute an important, potentially modifiable adverse event. We aimed to establish the probability, time-distribution and predictability of unplanned rehospitalisation within 30 days of discharge in a population of French preterm babies.

Methods

This study used data from EPIPAGE 2, a population-based prospective study of French preterm babies. Only those babies discharged home alive and whose parents responded to the one-year survey were eligible for inclusion in our study. For Kaplan-Meier analysis, the outcome was unplanned rehospitalisation censored at 30 days. For predictive modelling, the outcome was binary, recording unplanned rehospitalisation within 30 days of discharge. Predictors included routine clinical variables selected based on expert opinion.

Results

Of 3841 eligible babies, 350 (9.1, 95% CI 8.2–10.1) experienced an unplanned rehospitalisation within 30 days. The probability of rehospitalisation progressed at a consistent rate over the 30 days. There were significant differences in rehospitalisation probability by gestational age. The cross-validated performance of a ten predictor model demonstrated low discrimination and calibration. The area under the receiver operating characteristic curve was 0.62 (95% CI 0.59–0.65).

Conclusions

Unplanned rehospitalisation within 30 days of discharge was infrequent and the probability of rehospitalisation progressed at a consistent rate. Lower gestational age increased the probability of rehospitalisation. Predictive models comprised of clinically important variables had limited predictive ability.
Appendix
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Metadata
Title
Assessing the risk of early unplanned rehospitalisation in preterm babies: EPIPAGE 2 study
Authors
Robert Anthony Reed
Andrei Scott Morgan
Jennifer Zeitlin
Pierre-Henri Jarreau
Héloïse Torchin
Véronique Pierrat
Pierre-Yves Ancel
Babak Khoshnood
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Pediatrics / Issue 1/2019
Electronic ISSN: 1471-2431
DOI
https://doi.org/10.1186/s12887-019-1827-6

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