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ABSTRACT: Background
Neonatal respiratory distress syndrome (NRDS) is a leading cause of neonatal respiratory failure and mortality. This study investigated risk factors for intensive care unit (ICU) length of stay in newborns with NRDS.Methods
The data were collected from the MIMIC-III database. Baseline characteristics were recorded. Machine learning methods were used to identify key factors associated with ICU stay length. The nonlinear associations of hemoglobin and base excess (BE) with ICU stay length were assessed using generalized additive model (GAM) analysis and threshold effect analysis. Mediation analysis explored the relationship between hemoglobin, BE, and length of ICU stay.Results
We enrolled 1,241 NRDS-diagnosed newborn infants. Four key variables (height, we
SUBMITTER: Zhang L
PROVIDER: S-EPMC12683435 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature