Evidence map›Paper›PMID 42471637›Full record

ArticleBMC pediatrics2026

Clinical trajectory and determinants of pulmonary hemorrhage in neonates: a 10-year case-control study.

Ayna Atayeva, Ozge Serce Pehlevan

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Article in BMC pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ayna AtayevaDivision of Pediatrics,Faculty of Medicine, Kocaeli University, Kocaeli, Türkiye.ORCID 0009-0001-8526-0172
Ozge Serce PehlevanDepartment of Neonatology, Division of Pediatrics, Faculty of Medicine, Kocaeli University School of Medicine, Kocaeli, Türkiye. ozge.serce@kocaeli.edu.tr.ORCID 0000-0001-5870-0630

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary hemorrhage remains a life-threatening condition in neonates. This study aimed to identify factors associated with pulmonary hemorrhage, characterize the clinical trajectory during the 24 h preceding the event, and evaluate factors associated with mortality.

methodsIn this 10-year single-center case-control study with frequency-matched control selection, neonates with pulmonary hemorrhage were compared with controls matched at the sampling stage according to gestational age, birth weight, and admission period. Perinatal and postnatal variables were analyzed together with clinical characteristics observed during the 24 h preceding pulmonary hemorrhage. Multivariate logistic regression was used to evaluate associations between clinical variables, pulmonary hemorrhage, and mortality. A sensitivity analysis restricted to a recent cohort was performed to assess the robustness of the findings.

resultsA total of 120 neonates (60 cases, 60 controls) were included. Antenatal corticosteroid exposure was associated with a lower likelihood of pulmonary hemorrhage (OR 0.39, 95% CI 0.17-0.93, p = 0.035). Postnatal steroid exposure was associated with pulmonary hemorrhage (OR 4.59, 95% CI 1.01-20.78, p = 0.048). However, this finding likely reflects underlying disease severity, survivor bias, and confounding by indication rather than a direct causal effect. PDA diameter was not independently associated with pulmonary hemorrhage after multivariable adjustment (OR 3.14, 95% CI 0.82-12.07, p = 0.09). Affected neonates frequently exhibited progressive clinical deterioration characterized by increasing ventilatory support requirements, inotropic support, and fluid imbalance during the 24 h preceding pulmonary hemorrhage. Rescue surfactant administration during or shortly after the hemorrhagic episode was associated with mortality among affected neonates (OR 11.20, 95% CI 1.55-80.9, p = 0.017), although this finding should be interpreted cautiously because it may reflect underlying disease severity. Findings were consistent in sensitivity analyses.

conclusionsPulmonary hemorrhage was associated with a recognizable pattern of progressive cardiorespiratory deterioration rather than isolated static clinical characteristics. Increasing respiratory support requirements, hemodynamic instability, and signs of fluid imbalance were common clinical features preceding the hemorrhagic event. These findings highlight a potential period of evolving clinical instability before pulmonary hemorrhage and provide a foundation for future prospective studies aimed at improving risk recognition and clinical monitoring in vulnerable neonates.

Indexed as

HemorrhageLung DiseasesAdrenal Cortex HormonesCase-Control StudiesDuctus Arteriosus, PatentFemaleHumansInfant, NewbornLogistic ModelsMaleRisk FactorsAdrenal Cortex HormonesCardiorespiratory instabilityFluid imbalanceNeonatePatent ductus arteriosusPulmonary hemorrhage

Identifiers

PMID42471637
PMCPMC13445757

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.