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Lung ultrasound in early prediction of bronchopulmonary dysplasia in pre-term babies
Purpose Bronchopulmonary dysplasia (BPD) is a respiratory morbidity related to prematurity. Early prediction of BPD allows the selection of patients who would benefit from new therapies. Lung ultrasound (LUS) is a non-invasive diagnostic tool that has proven to be reliable for many neonatal diseases...
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Published in: | Journal of ultrasound 2024-09, Vol.27 (3), p.653-662 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Purpose
Bronchopulmonary dysplasia (BPD) is a respiratory morbidity related to prematurity. Early prediction of BPD allows the selection of patients who would benefit from new therapies. Lung ultrasound (LUS) is a non-invasive diagnostic tool that has proven to be reliable for many neonatal diseases recently. The study aimed to detect the role of LUS in predicting BPD at days 7 and 14 of life in preterm babies.
Methods
This was a prospective cohort study that included 95 preterm babies ≤ 34 weeks. Lung ultrasounds were performed on days 7 and 14 of life.
Results
The mean gestational age of the studied neonates was 30.25 ± 2.21 weeks. The mean birth weight was 1347.66 ± 432.14 gm. Patients who developed BPD had statistically significantly higher LUS scores on both days 7 and 14 of life. At first examination, a LUS score > 8 showed a sensitivity of 83.33% and a specificity of 60.87%, whereas at follow-up, a LUS score > 8 showed a sensitivity of 76.39% and a specificity of 82.61%. The multivariate logistic regression analysis shows that the most important factors associated with BPD were gestational age ≤ 30 weeks, LUS score at first examination > 8, platelets ≤ 245 × 10
9
/L, segment neutrophils ≤ 42%, and CRP > 5 mg/l.
Conclusions
The LUS score predicts BPD at 7 and 14 days of life. LUS scores increased with increasing BPD severity. LUS score > 8 was an independent factor in the prediction of BPD. |
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ISSN: | 1876-7931 1971-3495 1876-7931 |
DOI: | 10.1007/s40477-024-00913-9 |