Prediction of neonatal respiratory distress syndrome in term pregnancies by assessment of fetal lung volume and pulmonary artery resistance index

Laban, Mohamed; Mansour, Ghada M.; Elsafty, Mohammed S.E.; Hassanin, Alaa S.; Ezz-Elarab, Sahar S.

doi:10.1016/j.ijgo.2014.09.018

Cited by 21 publications

(21 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This finding is in line with a study conducted in the Republic of China [23]. However, our finding is higher than studies conducted in several countries including Nepal (34%) [24], India (33.4%) [10], Egypt (34.3%) [25], Pakistan (4.6%) [26], Northern Italy (20.1%) [27], and Portugal (8.83%) [28]. Variance noted in these studies may have been due to differences in the study settings which maybe…”

Section: Discussionsupporting

confidence: 92%

“…Based on the current finding, the overall incidence of RD was 8.1 per 100 neonate-days (95%CI: 7.3, 8.9). The common causes of RD in our study were RDS and meconium aspiration, which is similar to previous findings from Nepal and Egypt [24,25].…”

Section: Plos Onesupporting

confidence: 92%

“…The risk of RD was also increased by threefold in neonates who had an Apgar score less than 7, which has been previously reported in other studies [7]. Finally, neonatal sepsis was significantly associated with the risk of developing RD as was found in Nepal and Egypt, [24,25].…”

Section: Plos Onesupporting

confidence: 74%

See 2 more Smart Citations

Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia

et al. 2020

View full text Add to dashboard Cite

Background Although respiratory distress is one of the major causes of neonatal morbidity and mortality throughout the globe, it is a particularly serious concern for nations like Ethiopia that have significant resource limitations. Additionally, few studies have looked at neonatal respiratory distress and its predictors in developing countries, and thus we sought to investigate this issue in neonates who were admitted to the Neonatal Intensive Care Unit at Black Lion Specialized Hospital, Ethiopia. Methods An institution-based retrospective follow-up study was conducted with 571 neonates from January 2013 to March 2018. Data were collected by reviewing patients' charts using a systematic sampling technique with a pretested checklist. The data was then entered using Epidata 4.2 and analyzed with STATA 14. Median time, Kaplan-Meier survival estimation curves, and log-rank tests were then computed. Bivariable and multivariable Gompertz parametric hazard models were fitted to detect the determinants of respiratory distress. The hazard ratio with a 95% confidence interval was subsequently calculated. Variables with reported p-values < 0.05 were considered statistically significant. Results The proportion of neonates with respiratory distress among those admitted to the Black Lion Specialized Hospital neonatal intensive care unit was 42.9% (95%CI: 39.3-46.1%) The

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Plos Onesupporting

confidence: 92%

See 1 more Smart Citation

Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia

et al. 2020

View full text Add to dashboard Cite

show abstract

“…However, our finding is higher than a study conducted in several countries reported by Nepal Medical College and Teaching Hospital 34% [23], India 33.4% [9], Egypt 34.3 [24], National Institute of Child Health, Karachi 4.6% [25], Northern Italian 20.1% [26] and Portugal (8.83%) [27].…”

Section: Discussioncontrasting

confidence: 80%

Incidence of Respiratory distress and its predictors among neonates admitted at neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia, 2018

Asmare

Mekonen

Akalu

et al. 2019

Preprint

View full text Add to dashboard Cite

Background: Although Respiratory distress is one of the major causes of neonatal morbidity and mortality throughout the globe, it is a serious concern more of in resource limited nations, like Ethiopia. Besides, few studies are available in developing countries. Data from different settings is needed to tackle it. Therefore, we intended to assess the incidence and predictors of respiratory distress among neonates who were admitted in neonatal Intensive care unit (NICU) at Black Lion Specialized Hospital, Ethiopia. Methods: Institution-based retrospective follow-up study was conducted among 571 neonates from January 2013 to March 2018. Data were collected by reviewing patients chart using systematic sampling technique with a pretested checklist; entered using Epi-data 4.2 and analyzed with STATA 14. Median time, Kaplan-Meier survival estimation curve and Log-rank test were computed. Bivariable and multivariable Gompertz parametric hazards models were fitted to detect the determinant of respiratory distress. Hazard ratio with a 95% confidence interval was calculated. Variables with reported p-values < 0.05 were considered statistically significant. Results: The proportion of respiratory distress among of neonates admitted in Black Lion specialized hospital neonatal intensive care unit was 42.9 % (95%CI: 39.3-46.1%) with incidence of 8.1/100(95%CI: 7.3, 8.9)).Being male [AHR=2.4 (95%CI:1.1,3.1)], neonates born via caesarean section [AHR:1,.9((95%CI:1.6,2.3)], home delivery [AHR :2.9 (95%CI:1.5, 5,2)], maternal diabetes mellitus [AHR 2.3(95%CI: 1.4 ,3.6)], preterm birth [AHR:2.9(95%CI:1.6, 5.1)] and APGAR score less than 7 [AHR: 3.1 (95%CI:1.8,5.0)] were found to be significant predictors of respiratory distress. Conclusions: The incidence of respiratory distress among neonates was found to be high. Those neonates delivered at home, delivered through caesarean section, preterm neonates, whose APGAR score<7, and born from diabetic mothers were more likely to develop respiratory distress. All concerned bodies should work on preventing RD and give special attention for multifactorial cause of it .Thus; it is indicated to promote health institutional delivery more. Besides, a need to establish and/or strengthen strategies to prevent the occurrence of respiratory distress among babies with low APGAR score, preterm babies, born from diabetes mellitus mothers, and delivered through caesarean section.

show abstract

“…The deficiency of pulmonary surfactant resulting in lung prematurity is the most common cause of RDS in newborns . The incidence of newborn RDS increases with decreasing gestational age as the lungs are the final fetal organs to mature . Prediction for fetal lung maturity (FLM) plays an important role in the prevention of RDS in the preterm newborns.…”

Section: Introductionmentioning

confidence: 99%

Lipidomic profiling of amniotic fluid and its application in fetal lung maturity prediction

Cao

Liu

Xie

et al. 2019

Clinical Laboratory Analysis

View full text Add to dashboard Cite

Background:The pulmonary surfactant especially lipids in amniotic fluid can reflect the development stage of fetal lung maturity (FLM). However, the conventional lecithin/sphingomyelin (L/S) ratio method by thin layer chromatography (TLC) is insufficient and inconvenient for FLM prediction in clinical practice. Methods:The amniotic fluid samples were collected from the pregnant women in labor or undergoing amniocentesis and analyzed for its lipid contents with the liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) method and the lamellar body count (LBC) method. To reveal the lipidomic profiling of different FLM stages, three groups of amniotic fluid samples including 8 from premature group (gestational week (GW) < 37), 10 from mature group (GW < 37), and 10 from mature group (GW > 38) were compared with the control group (n = 6) of 18 GWs separately. Results:In the FLM prediction study, the sensitivity of the LC-HRMS method and LBC method was 91% and 73%, respectively; the specificity was 100% and 95%, respectively. The most significant metabolic pathway was linoleic acid metabolism between the premature group and the control group. Both glycerophospholipid metabolism and glycosylphosphatidylinositol-anchor biosynthesis were enriched in the mature groups. In search of potential FLM prediction markers in amniotic fluid, 8 phosphatidylcholines, 1 sphingomyelin, and 1 phosphatidylethanolamine were significantly increased in the mature groups compared with the premature group.Conclusion: An efficient LC-HRMS method for L/S ratio in predicting FLM was established. The linoleic acid metabolism may play an important role in the fetal lung development. K E Y W O R D S amniotic fluid, FLM, L/S ratio, LC-HRMS, lipidomicsThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Prediction of neonatal respiratory distress syndrome in term pregnancies by assessment of fetal lung volume and pulmonary artery resistance index

Abstract: The use of either FLV or PA-RI predicted neonatal RDS. The predictive value increased when these two measures were combined.

Cited by 21 publications

References 24 publications

Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia

Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia

Incidence of Respiratory distress and its predictors among neonates admitted at neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia, 2018

Lipidomic profiling of amniotic fluid and its application in fetal lung maturity prediction

Contact Info

Product

Resources

About