1 Introduction
Bronchopulmonary dysplasia (BPD) is one of the main morbidities in premature infants 1,2. Its multifactorial etiology includes genetic predisposition associated with environmental and behavioral factors 3.
Early interventions may decrease the risk of BPD 4, with corticosteroids being the most studied medication for preventing the disease 5,6. However, the risks and benefits of their use must be better investigated due to side effects7.
Doyle et al.  observed in 2005 and 2014 that administering corticoids in patients with an estimated risk > 60% of developing moderate and severe BPD showed higher benefits in preventing cerebral palsy development 8,9.
In 2011, the National Institute of Child Health and Human Development (NICHD) published a BPD risk prediction tool (https://neonatal.rti.org/) capable of estimating individual risks of BPD or death10. Since then, this instrument has proved particularly useful in selecting patients for corticoid use. However, this equation was developed in a North American population.
The prediction of BPD should be based on the characteristics of the served population, with the translational aspect of predictive equations developed in different realities needing to be more questionable11.
This study aimed to build a predictive equation for BPD in premature patients born at our institution, comparing the risks determined by it with the predictive values of the foreign instrument currently used in our service. The elaboration of a specific instrument will allow the proper identification of local candidates to prevent moderate and severe forms of the disease using postnatal corticoids, improving the treatment effectiveness.