Introduction. Bronchopulmonary dysplasia (BPD) is a common complication in premature infants, often linked to chronic pulmonary disease. This study aimed to assess the clinical and imaging data in premature infants diagnosed with BPD.
Materials and methods. A cohort of 105 premature infants with a history of respiratory distress syndrome requiring oxygen therapy was analyzed. The study group included 53 infants with BPD, while 52 infants without BPD formed the control group. All infants underwent clinical and paraclinical evaluations, including pulmonary imaging. The diagnosis of BPD was established based on specific criteria at the Pulmonology Clinic of the Institute of Mother and Child in Chisinau, Republic of Moldova. Statistical analysis was performed using SPSS version 20 (a p-value ≤ 0.05 being statistically significant).
Results. Neonatal factors, such as gestational age (p<0.001), birth weight (p<0.0001), and the need for invasive mechanical ventilation (IMV) (p<0.0001), were associated with chronic lung changes. Oxygen saturation (SaO2) levels (p<0.0001) and radiological findings, including discoidal atelectasis (p<0.0001), subsegmental atelectasis (p=0.018), pulmonary emphysema (p<0.0001), fibrosis (p<0.0001), pulmonary hypertransparency (p<0.0001), and microcystic lesions (p<0.0001), were also significant in the development of BPD.
Conclusions. Neonatal predictors, including gestational age, birth weight, FiO2 during mechanical ventilation, and radiological changes, such as atelectasis, emphysema, fibrosis, and microcystic formations, provided significant data for confirming the diagnosis of BPD.
Keywords: bronchopulmonary dysplasia, neonatal predictors, clinical-imaging aspects.
Full text sources https://doi.org/10.31688/ABMU.2024.59.4.05
How to cite
Email to Author
Address for correspondence:
Aliona COTOMAN
Address: Public Health Medical Institution Mother and Child Institute, Chisinau, Republic of Moldova, Pneumology Clinic, Burebista str. 93, Chisinau, Republic of Moldova
E-mail: magureana@mail.ru; Phone: +37369081753
