Universidad Peruana Cayetano Heredia

Factors Associated with Survival and Survival without Major Morbidity in Very Preterm Infants in Two Neonatal Networks: SEN1500 and NEOCOSUR

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dc.contributor.author García-Muñoz, Rodrigo
dc.contributor.author Fabres, Jorge
dc.contributor.author Tapia, Jose L.
dc.contributor.author D'Apremont, Ivonne
dc.contributor.author San Feliciano, Laura
dc.contributor.author Zozaya Nieto, Carlos
dc.contributor.author Figueras-Aloy, Josep
dc.contributor.author Mariani, Gonzalo
dc.contributor.author Musante, Gabriel
dc.contributor.author Silvera, Fernando
dc.contributor.author Zegarra, Jaime
dc.contributor.author Vento, Máximo
dc.date.accessioned 2021-04-13T20:51:03Z
dc.date.available 2021-04-13T20:51:03Z
dc.date.issued 2021
dc.identifier.uri https://hdl.handle.net/20.500.12866/9211
dc.description.abstract INTRODUCTION: Very low-birth weight (VLBW) infants represent a high-risk population for morbidity and mortality in the neonatal period. Variability in practices and outcomes between centers has been acknowledged. Multicenter benchmarking studies are useful to detect areas of improvement and constitute an interesting research tool. OBJECTIVES: The aim of the study was to determine the perinatal variables and interventions associated with survival and survival without major morbidity in VLBW infants and compare the performance of 2 large networks. METHODS: This is a prospective study analyzing data collected in 2 databases, the Spanish SEN1500 and the South American NEOCOSUR networks, from January 2013 to December 2016. Inborn patients, from 240 to 306 weeks of gestational age (GA) were included. Hazard ratios for survival and survival without major morbidity until the first hospital discharge or transfer to another facility were studied by using Cox proportional hazards regression. RESULTS: A total of 10,565 patients, 6,120 (57.9%) from SEN1500 and 4,445 (42.1%) from NEOCOSUR, respectively, were included. In addition to GA, birth weight, small for gestational age (SGA), female sex, and multiple gestation, less invasive resuscitation, and the network of origin were significant independent factors influencing survival (aHR [SEN1500 vs. NEOCOSUR]: 1.20 [95% CI: 1.15-1.26] and survival without major morbidity: 1.34 [95% CI: 1.26-1.43]). Great variability in outcomes between centers was also found within each network. CONCLUSIONS: After adjusting for covariates, GA, birth weight, SGA, female sex, multiple gestation, less invasive resuscitation, and the network of origin showed an independent effect on outcomes. Determining the causes of these differences deserves further study. en_US
dc.language.iso eng
dc.publisher Karger
dc.relation.ispartofseries Neonatology
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Mortality en_US
dc.subject Morbidity en_US
dc.subject Neonatal networks en_US
dc.subject Very low-birth weight infant en_US
dc.title Factors Associated with Survival and Survival without Major Morbidity in Very Preterm Infants in Two Neonatal Networks: SEN1500 and NEOCOSUR en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1159/000513079
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.02.03
dc.relation.issn 1661-7819


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