Dataset Information

Characteristics and outcomes of preterm neonates according to number of doses of surfactant received.

ABSTRACT:

Objectives

To identify characteristics and outcomes of infants who received multiple doses of surfactant vs those who received one dose or none.

Study design

In this retrospective study, we included neonates of 22-28 weeks' gestation admitted to NICUs in the Canadian Neonatal Network. Patients were divided into three groups: no surfactant, single dose, and multiple doses. The primary outcome was a composite of mortality or any of the major morbidities, including severe neurological injury, bronchopulmonary dysplasia, or ≥stage 3 retinopathy of prematurity.

Results

Of 8024 eligible neonates, 2461 (31%) did not receive surfactant, 3545 (44%) received one dose, and 2018 (25%) received >1 dose. Receiving one or more doses of surfactant was associated with significantly higher adjusted odds of mortality or major morbidities in a dose-dependent manner.

Conclusions

Receiving one or more doses of surfactant was associated with adverse neonatal outcomes. Receipt of more than one dose may reflect underlying severe lung immaturity.

SUBMITTER: Coshal H

PROVIDER: S-EPMC7424238 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

Characteristics and outcomes of preterm neonates according to number of doses of surfactant received.

Coshal Hanita H Mukerji Amit A Lemyre Brigitte B Ng Eugene H EH Alvaro Ruben R Ethier Guillaume G Yoon Eugene W EW Beltempo Marc M Shah Prakesh S PS

Journal of perinatology : official journal of the California Perinatal Association 20200813 1

<h4>Objectives</h4>To identify characteristics and outcomes of infants who received multiple doses of surfactant vs those who received one dose or none.<h4>Study design</h4>In this retrospective study, we included neonates of 22-28 weeks' gestation admitted to NICUs in the Canadian Neonatal Network. Patients were divided into three groups: no surfactant, single dose, and multiple doses. The primary outcome was a composite of mortality or any of the major morbidities, including severe neurologica ...[more]

PMID: 32792633

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Project description:Intraventricular hemorrhage (IVH) in preterm neonates presents a high risk for developing posthemorrhagic ventricular dilatation (PHVD), a severe complication that can impact survival and long-term outcomes. Early detection of PHVD before clinical onset is crucial for optimizing therapeutic interventions and providing accurate parental counseling. This study explores the potential of explainable machine learning models based on targeted liquid biopsy proteomics data to predict outcomes in preterm neonates with IVH. In recent years, research has focused on leveraging advanced proteomic technologies and machine learning to improve prediction of neonatal complications, particularly in relation to neurological outcomes. Machine learning (ML) approaches, combined with proteomics, offer a powerful tool to identify biomarkers and predict patient-specific risks. However, challenges remain in integrating large-scale, multiomic datasets and translating these findings into actionable clinical tools. Identifying reliable, disease-specific biomarkers and developing explainable ML models that clinicians can trust and understand are key barriers to widespread clinical adoption. In this prospective longitudinal cohort study, we analyzed 1109 liquid biopsy samples from 99 preterm neonates with IVH, collected at up to six timepoints over 13 years. Various explainable ML techniques-including statistical, regularization, deep learning, decision trees, and Bayesian methods-were employed to predict PHVD development and survival and to discover disease-specific protein biomarkers. Targeted proteomic analyses were conducted using serum and urine samples through a proximity extension assay capable of detecting low-concentration proteins in complex biofluids. The study identified 41 significant independent protein markers in the 1600 calculated ML models that surpassed our rigorous threshold (AUC-ROC of ≥0.7, sensitivity ≥ 0.6, and selectivity ≥ 0.6), alongside gestational age at birth, as predictive of PHVD development and survival. Both known biomarkers, such as neurofilament light chain (NEFL), and novel biomarkers were revealed. These findings underscore the potential of targeted proteomics combined with ML to enhance clinical decision-making and parental counseling, though further validation is required before clinical implementation.

Project description:ContextNo consensus exists regarding the association between maternal chorioamnionitis and neurodevelopmental outcomes in preterm and very preterm neonates.ObjectivesTo investigate whether maternal chorioamnionitis affects neurodevelopmental outcomes and to identify the factors that may explain these effects.Data sourcesWe used Ovid Medline, EMBASE and Web of Science to conduct a meta-analysis of studies published in English before August 25, 2017, with titles or abstracts that discussed an association between maternal chorioamnionitis and mental/motor development.Study selectionAmong the 603 initially identified studies, we selected those that addressed an association between maternal chorioamnionitis and mental/motor development according to our preselected inclusion criteria as follows: (1) the study compared infants with and without exposure to maternal chorioamnionitis and (2) the neurodevelopmental outcome was followed up using the Bayley Scales of Infant Development 2nd edition.Data synthesisOur meta-analysis included 10 studies. According to a random effect model, infants with maternal chorioamnionitis exposure had poorer mental development (d = -2.25 [95%CI, -4.33, -0.17], p<0.05) than infants without maternal chorioamnionitis, and infants with maternal clinical chorioamnionitis exposure had poorer motor development (d = -2.37 [95%CI, -4.62 to -0.12], p<0.05) than infants without maternal clinical chorioamnionitis exposure. Factors in the meta-analysis that showed differences between the two patient groups included an MDI assessment blinded to medical history, MDI assessment at the correct age, and time of the MDI assessment.ConclusionThis study suggests that maternal chorioamnionitis may affect mental development in preterm and very preterm neonates, and that maternal clinical chorioamnionitis may affect motor development in offspring. Further studies are required to confirm these results and to detect the influence of variables across studies.

Dataset Information

Characteristics and outcomes of preterm neonates according to number of doses of surfactant received.

Objectives

Study design

Results

Conclusions

Publications

Characteristics and outcomes of preterm neonates according to number of doses of surfactant received.

Similar Datasets

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