Prediction of Neonatal Respiratory Distress Syndrome in Term Pregnancies by Assessment of Fetal Lung Volume and Pulmonary Artery Resistance Index
Overview
Affiliations
Objective: To develop reference cutoff values for mean fetal lung volume (FLV) and pulmonary artery resistance index (PA-RI) for prediction of neonatal respiratory distress syndrome (RDS) in low-risk term pregnancies.
Methods: As part of a cross-sectional study, women aged 20-35 years were enrolled and admitted to a tertiary hospital in Cairo, Egypt, for elective repeat cesarean at 37-40 weeks of pregnancy between January 1, 2012, and July 31, 2013. FLV was calculated by virtual organ computer-aided analysis, and PA-RI was measured by Doppler ultrasonography before delivery.
Results: A total of 80 women were enrolled. Neonatal RDS developed in 11 (13.8%) of the 80 newborns. Compared with neonates with RDS, healthy neonates had significantly higher FLVs (P<0.001) and lower PA-RIs (P<0.001). Neonatal RDS is less likely with FLV of at least 32 cm(3) or PA-RI less than or equal to 0.74. Combining these two measures improved the accuracy of prediction.
Conclusion: The use of either FLV or PA-RI predicted neonatal RDS. The predictive value increased when these two measures were combined.
Chekole B, Fetene T, Geze T, Tefera Z, Alebel G, Kassaw A Afr Health Sci. 2024; 23(3):159-167.
PMID: 38357132 PMC: 10862636. DOI: 10.4314/ahs.v23i3.20.
Im J, Park S, Kim Y, Yoon S, Lee J Sci Rep. 2023; 13(1):6213.
PMID: 37069174 PMC: 10106895. DOI: 10.1038/s41598-023-33353-2.
Khalifa Y, Aboulghar M, Hamed S, Tomerak R, Asfour A, Kamal E Br J Radiol. 2021; 94(1128):20210577.
PMID: 34538070 PMC: 8631030. DOI: 10.1259/bjr.20210577.
Aynalem Y, Mekonen H, Akalu T, Habtewold T, Endalamaw A, Petrucka P PLoS One. 2020; 15(7):e0235544.
PMID: 32609748 PMC: 7329073. DOI: 10.1371/journal.pone.0235544.
Lipidomic profiling of amniotic fluid and its application in fetal lung maturity prediction.
Cao Z, Liu J, Xie X, Zhan S, Song W, Wu S J Clin Lab Anal. 2019; 34(4):e23109.
PMID: 31804000 PMC: 7171342. DOI: 10.1002/jcla.23109.