Trial reportBMC pulmonary medicine2024
Construction and evaluation of neonatal respiratory failure risk prediction model for neonatal respiratory distress syndrome.
Trial report in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The trial behind it
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Who cites it
14 citing papers in PubMed, 9 citations in OpenAlex.
- Factors associated with the development of neonatal acute respiratory distress syndrome in preterm infants: a retrospective cohort study.European journal of pediatrics · 2026Article
- Diagnostic Models of Neonatal Respiratory Distress Syndrome and Congenital Pneumonia: A Retrospective Cohort Study.Medical sciences (Basel, Switzerland) · 2026Article
- A three-factor nomogram predicts the use of invasive mechanical ventilation within 72 h in preterm infants.Frontiers in medicine · 2026Article
- Downregulation of alcohol dehydrogenase family proteins suggests disrupted retinol metabolism in neonatal respiratory distress syndrome: an umbilical cord blood proteomics study.Frontiers in pediatrics · 2026Article
- Exploring the Effects of Prone Position Ventilation Combined with Drug on Clinical Outcomes in Neonates with ARDS: A Single-Center Retrospective Cohort Study.Therapeutics and clinical risk management · 2026Article
- nSOFA scores predict prolonged mechanical ventilation in neonatal respiratory distress syndrome: a retrospective cohort study.BMC pediatrics · 2025Article
- Base excess serves as a mediator in the hemoglobin-intensive care unit stay length relationship in neonatal respiratory distress syndrome.Translational pediatrics · 2025Article
- Development and internal validation of a clinical prediction model for the needed level of care in preterm neonates.BMC pediatrics · 2025Article
- Development of a Clinical Risk Assessment Score for Respiratory Distress Due to Respiratory Infections in Early Infancy.Children (Basel, Switzerland) · 2025Article
- Predictive value of the combined application of multiple critical illness scoring systems in neonatal respiratory distress syndrome.Translational pediatrics · 2025Article
- Article
- Risk factors and adverse outcomes of extubation failure in preterm infants ≤32 weeks with neonatal respiratory distress syndrome.Frontiers in pediatrics · 2025Article
- Elevated KLF2 and YKL-40 with reduced vitamin A as predictive biomarkers for severity and prognosis in neonatal respiratory distress syndrome.American journal of translational research · 2025Article
- Identification of Neonatal Factors Predicting Pre-Discharge Mortality in Extremely Preterm or Extremely Low Birth Weight Infants: A Historical Cohort Study.Children (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNeonatal respiratory distress syndrome (NRDS) is a common respiratory disease in preterm infants, often accompanied by respiratory failure. The aim of this study was to establish and validate a nomogram model for predicting the probability of respiratory failure in NRDS patients.
methodsPatients diagnosed with NRDS were extracted from the MIMIC-iv database. The patients were randomly assigned to a training and a validation cohort. Univariate and stepwise Cox regression analyses were used to determine the prognostic factors of NRDS. A nomogram containing these factors was established to predict the incidence of respiratory failure in NRDS patients. The area under the receiver operating characteristic curve (AUC), receiver operating characteristic curve (ROC), calibration curves and decision curve analysis were used to determine the effectiveness of this model.
resultsThe study included 2,705 patients with NRDS. Univariate and multivariate stepwise Cox regression analysis showed that the independent risk factors for respiratory failure in NRDS patients were gestational age, pH, partial pressure of oxygen (PO
conclusionsThis study identified the independent risk factors of respiratory failure in NRDS patients and used them to construct and evaluate respiratory failure risk prediction model for NRDS. The present findings provide clinicians with the judgment of patients with respiratory failure in NRDS and help clinicians to identify and intervene in the early stage.
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