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Personalized lung care: “Bronchopulmonary Dysplasia Risk Prediction Tool Tailored for Neonates Born in the Resource-limited Settings.”
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  • Flávia Maria de Medeiros Cavalcante Meneghetti,
  • Davi Casale Aragon,
  • Cristina Calixto,
  • Cristina Helena Faleiros Ferreira,
  • Elaine Fukumoto Vieira,
  • Walusa Gonçalves-Ferri
Flávia Maria de Medeiros Cavalcante Meneghetti
Universidade de Sao Paulo - Campus de Ribeirao Preto

Corresponding Author:[email protected]

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Davi Casale Aragon
Universidade de Sao Paulo - Campus de Ribeirao Preto
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Cristina Calixto
Universidade de Sao Paulo - Campus de Ribeirao Preto
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Cristina Helena Faleiros Ferreira
Universidade de Sao Paulo - Campus de Ribeirao Preto
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Elaine Fukumoto Vieira
Universidade de Sao Paulo - Campus de Ribeirao Preto
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Walusa Gonçalves-Ferri
Universidade de Sao Paulo - Campus de Ribeirao Preto
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Abstract

Purpose: Predicting Bronchopulmonary dysplasia (BPD) to assess the risk-benefit of the therapy is necessary due to the side effects of medications. We developed and validated an instrument for predicting BDP and compared it with an instrument currently used in neonates born in a Brazilian hospital. Methods: Retrospective cohort of patients born between 2016 and 2020, with gestational ages (GA) between 23 and 30 weeks. Predictive equations were elaborated using methods of selection of component variables: stepwise, conditional inference tree, Fisher’s exact test and all the collected variables; 70% of the sample was randomly selected for the construction of risk prediction equations, and the remaining 30% were used for their validation, application and comparison with the National Institute of Child Health and Human Development (NICHD) instrument published in 2011, currently used in that institution. Sensitivity, specificity, and predictive values of the equations were calculated. Results: The equation that used variables whose p-value was lower than 5% in Fisher’s exact test (clinical chorioamnionitis, GA, birth weight, sex, need for surfactant, patent ductus arteriosus, late-onset sepsis, inspired fraction of oxygen, and respiratory support) presented the best results: specificity of 98% and positive predictive value of 93%. Our instrument allowed applying the prediction to small-for-gestational-age (SGA). The currently used calculator applied to our population had a specificity of 93% and a positive predictive value of 75% and could not be applied to SGA patients. Conclusion: Our tool has a higher specificity and positive predictive value than the foreign instrument and is suited for SGA.
17 Nov 2023Submitted to Pediatric Pulmonology
17 Nov 2023Review(s) Completed, Editorial Evaluation Pending
17 Nov 2023Submission Checks Completed
17 Nov 2023Assigned to Editor
22 Feb 2024Review(s) Completed, Editorial Evaluation Pending
23 Feb 2024Editorial Decision: Revise Minor
27 Mar 2024Review(s) Completed, Editorial Evaluation Pending
08 Apr 2024Editorial Decision: Revise Minor
18 Apr 2024Reviewer(s) Assigned
18 Apr 2024Review(s) Completed, Editorial Evaluation Pending
18 Apr 2024Submission Checks Completed
18 Apr 2024Assigned to Editor
28 Apr 2024Editorial Decision: Accept