Introduction: Bronchopulmonary dysplasia (BPD) is one of the most frequent respiratory morbidity and the main cause of mortality in premature infants. This study aims to explore the role of red cell distribution width (RDW) to predict BPD in preterm infants. Methods: Preterm infants of ≤32 gestational weeks who were admitted to the neonatal intensive care unit during six months were enrolled in this retrospective study. The study cohort was divided into two groups according to BPD presence or not. Details of the demographic data of the patients and the laboratory data within three hours after birth were recorded. The relationship between RDW levels and BPD were evaluated. Results: Seventy-eight infants were included in the final analysis. In the BPD group, gestational age and birth weight were significantly lower than the control group (p=0.001 and p=0.002, respectively). In the BPD group, maternal preeclampsia was higher than the control group (p=0.04). In the BPD group, RDW levels were significantly higher than the control group (p=0.002). After performing the multivariate model of logistic regression, significant predictors of BPD were RDW levels (OR= 11.986, 95% CI 2.494-57.602, p=0.002) and duration of invasive mechanical ventilation days (OR=1.429, 9%5 CI 1.127-1.811, p=0.003). The optimal RDW cut point for prediction of BPD by the ROC curve analysis was 18%, which yielded sensitivity 81.50% and specificity 84.78%, and the AUC of RDW was 0.845 (p<0.001). Discussion and Conclusion: Our findings show that the RDW level is a significant parameter to predict BPD in preterm infants. RDW as a simple and accessible value may be of important role in the prediction and early approach of BPD in preterm infants.