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Prediction of mortality in very low birth weight neonates in Spain

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  • Martín Iriondo
  • Marta Thio
  • Ruth del Río
  • Benjamin J Baucells
  • Mattia Bosio
  • Josep Figueras-Aloy

Abstract

Objective: Predictive models for preterm infant mortality have been developed internationally, albeit not valid for all populations. This study aimed to develop and validate different mortality predictive models, using Spanish data, to be applicable to centers with similar morbidity and mortality. Methods: Infants born alive, admitted to NICU (BW 30 days of life, respectively. During validation, models 1 and 2 showed moderate concordance, whilst that of model 3 was good. Conclusion: Using dynamic models to predict individual mortality can improve outcome estimations. Development of models in the prenatal period, first 24 hours, and during hospital admission, cover key stages of mortality prediction in preterm infants.

Suggested Citation

  • Martín Iriondo & Marta Thio & Ruth del Río & Benjamin J Baucells & Mattia Bosio & Josep Figueras-Aloy, 2020. "Prediction of mortality in very low birth weight neonates in Spain," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-13, July.
    • Handle: RePEc:plo:pone00:0235794
    DOI: 10.1371/journal.pone.0235794
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    References listed on IDEAS

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    1. Stephanie Medlock & Anita C J Ravelli & Pieter Tamminga & Ben W M Mol & Ameen Abu-Hanna, 2011. "Prediction of Mortality in Very Premature Infants: A Systematic Review of Prediction Models," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-9, September.
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