Réhospitalisation dans l'année suivant leur naissance des prématurés d'âge gestationnel inférieur ou égal à 32 semaines d'aménorrhée. Comparaison de 2 cohortes : 1997 et 2002

Brissaud, Olivier; Babre, F.; Pedespan, L.; Feghali, H.; Esquerré, F.; Sarlangue, J.

doi:10.1016/j.arcped.2005.04.078

Cited by 13 publications

(12 citation statements)

References 19 publications

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“…Moreover, the added value of other variablescompared to a predictive model based on gestational age alone was quite limited. Given the key role gestational age plays in determining physiological immaturity, and that lower gestational age is a recognised risk factor for rehospitalisation, this finding was not unexpected (23,24,52)(53).…”

mentioning

confidence: 72%

“…(13)(14)(15) Rehospitalisation rates amongst preterms have been found to be significantly higher than those of full-term infants. (16)(17)(18)Factors previously found to be associated with rehospitalisation are male sex (19)(20)(21)(22), lower gestational age (23)(24)(25), low birth weightor being small for gestational age (SGA) (26), feeding problems (27)(28)(29)(30), bronchopulmonary dysplasia (BPD) (31,32)and lower socioeconomic status (21,27,33,34). To the best of our knowledge, the literature on the early rehospitalisation of preterms discussed explanatory models only and not validated predictive models.…”

Section: Introductionmentioning

confidence: 99%

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

Reed

Morgan²,

Zeitlin

et al. 2019

Preprint

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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 1-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 3,841 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.

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mentioning

confidence: 72%

Section: Introductionmentioning

confidence: 99%

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

Reed

Morgan²,

Zeitlin

et al. 2019

Preprint

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“…Les caractéristiques, la mortalité et morbidité à court terme des grands prématurés sont comparables à celles de métro-pole [1,4,11,12], mais il n'existe pas de données cognitives après l'entrée en maternelle. Malgré les progrès de la prise en charge médicale des grossesses et l'efficacité du réseau inter-îles, la stabilité de l'incidence de la prématurité en PF s'expliquerait par des facteurs de risques de prématurité non compressibles : le jeune âge des mères, la consommation per-partum d'alcool et de tabac, le milieu socioéconomique défavorisé, la rupture prématurée de la poche des eaux et la gémellité spontanée.…”

Section: Discussionunclassified

La grande prématurité en Polynésie française : évaluation et perspectives de prise en charge

Besnard

Kuo

Pawlotsky

et al. 2015

Archives de Pédiatrie

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“…After adjustment in the multivariate regression predictive model, two variables were found to be significant risk factors (Table 2). These were gestational ages of [22][23][24][25][26] weeks (aOR 1.44 (95% CI 1.18-1.77) and 27-31 weeks (aOR 1.47 (95% CI 1.17-1.84)) compared to 32- 34 week babies, and PMA of both 36 to less than 37 weeks (aOR 1.34 (95% CI 1.06-1.70) and 37 to less than 38 weeks (aOR 1.32 (95% CI 1.05-1.65) compared to 36 weeks or less. Results of regression analysis for the twenty predictor model are shown in Additional file 6.…”

Section: Timing Of Unplanned Rehospitalisation Over the First 30 Daysmentioning

confidence: 99%

“…(13)(14)(15) Rehospitalisation rates amongst preterms have been found to be significantly higher than those of full-term infants. (16)(17)(18) Factors previously found to be associated with rehospitalisation are male sex (19)(20)(21)(22), lower gestational age (23)(24)(25), low birth weight or being small for gestational age (SGA) (26), feeding problems (27)(28)(29)(30), bronchopulmonary dysplasia (BPD) (31,32) and lower socioeconomic status (21,27,33,34). To the best of our knowledge, the literature on the early rehospitalisation of preterms discussed explanatory models only and not validated predictive models.…”

Section: Introductionmentioning

confidence: 99%

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

Reed

Morgan²,

Zeitlin

et al. 2019

Preprint

View full text Add to dashboard Cite

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 3,841 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.

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Réhospitalisation dans l'année suivant leur naissance des prématurés d'âge gestationnel inférieur ou égal à 32 semaines d'aménorrhée. Comparaison de 2 cohortes : 1997 et 2002

Cited by 13 publications

References 19 publications

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

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

La grande prématurité en Polynésie française : évaluation et perspectives de prise en charge

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

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