期刊
JOURNAL OF PERINATOLOGY
卷 43, 期 4, 页码 452-457出版社
SPRINGERNATURE
DOI: 10.1038/s41372-022-01521-3
关键词
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A resiliency score has been developed and validated to predict survival and survival without neonatal morbidity in preterm neonates.
Objective Develop and validate a resiliency score to predict survival and survival without neonatal morbidity in preterm neonates Study design Models using maternal, perinatal, and neonatal variables were developed using LASSO method in a population based Californian administrative dataset. Outcomes were survival and survival without severe neonatal morbidity. Discrimination was assessed in the derivation and an external dataset from a tertiary care center. Results Discrimination in the internal validation dataset was excellent with a c-statistic of 0.895 (95% CI 0.882-0.908) for survival and 0.867 (95% CI 0.857-0.877) for survival without severe neonatal morbidity, respectively. Discrimination remained high in the external validation dataset (c-statistic 0.817, CI 0.741-0.893 and 0.804, CI 0.770-0.837, respectively). Conclusion Our successfully predicts survival and survival without major morbidity in preterm babies born at <32 weeks. This score can be used to adjust for multiple variables across administrative datasets.
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