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Validation of a new predictive model to improve risk stratification in bronchopulmonary dysplasia
Gustavo Nino1,2, Awais Mansoor3, Geovanny F Perez4,5
1Division of Pediatric Pulmonary and Sleep Medicine. Children's National Medical Center, George Washington University, Washington, DC, USA. gnino@childrensnational.org.
Insights
A new model for bronchopulmonary dysplasia (BPD) severity improves risk assessment in premature infants. It uses oxygen needs beyond 36 weeks postmenstrual age to predict respiratory outcomes and hospitalizations.
Area of Science:
- Neonatology
- Pediatric Pulmonology
- Respiratory Medicine
Background:
- Bronchopulmonary dysplasia (BPD) affects growing numbers of extremely premature infants.
- Current BPD severity definitions lack sufficient evidence for accurate risk stratification.
- Improved models are needed to guide management of BPD survivors.
Purpose of the Study:
- To validate a novel predictive model for BPD severity incorporating extended respiratory assessments.
- To enhance risk stratification for extremely premature infants with severe BPD.
- To inform updates to current BPD severity definitions.
Main Methods:
- Longitudinal cohort study of premature infants (≤32 weeks PMA) in Washington D.C. (n=188).
- Receiver operating characteristic analysis to define BPD severity using oxygen duration and respiratory hospitalization outcomes.
- Internal validation with lung imaging and phenotyping; external validation in a Bogota cohort (≤36 weeks PMA, n=130).
Main Results:
- Including total oxygen days (beyond 36 weeks PMA) improved BPD severity prediction.
- A new 'level IV' BPD category was defined (≥120 days supplemental oxygen), indicating highest risk.
- Findings were confirmed in the external validation cohort using ambulatory oxygen data.
Conclusions:
- A predictive model incorporating respiratory assessments beyond 36 weeks PMA enhances BPD risk stratification.
- This extended assessment approach should be considered for updating BPD severity definitions.
- The new 'level IV' category identifies infants at high risk for post-discharge respiratory complications.
Abstract:
We need a better risk stratification system for the increasing number of survivors of extreme prematurity suffering the most severe forms of bronchopulmonary dysplasia (BPD). However, there is still a paucity of studies providing scientific evidence to guide future updates of BPD severity definitions. Our goal was to validate a new predictive model for BPD severity that incorporates respiratory assessments beyond 36 weeks postmenstrual age (PMA). We hypothesized that this approach improves BPD risk assessment, particularly in extremely premature infants. This is a longitudinal cohort of premature infants (≤32 weeks PMA, n = 188; Washington D.C). We performed receiver operating characteristic analysis to define optimal BPD severity levels using the duration of supplementary O2 as predictor and respiratory hospitalization after discharge as outcome. Internal validation included lung X-ray imaging and phenotypical characterization of BPD severity levels. External validation was conducted in an independent longitudinal cohort of premature infants (≤36 weeks PMA, n = 130; Bogota). We found that incorporating the total number of days requiring O2 (without restricting at 36 weeks PMA) improved the prediction of respiratory outcomes according to BPD severity. In addition, we defined a new severity category (level IV) with prolonged exposure to supplemental O2 (≥120 days) that has the highest risk of respiratory hospitalizations after discharge. We confirmed these findings in our validation cohort using ambulatory determination of O2 requirements. In conclusion, a new predictive model for BPD severity that incorporates respiratory assessments beyond 36 weeks improves risk stratification and should be considered when updating current BPD severity definitions.
