Evaluation of screening efficacy of IL6, IL8, CRP and salivary progesterone in predicting preterm pregnancy

Autor: V. Jeevana Jyothi, S. K. Nafeesa Farheen, M. Deepthi, L. Swapna
Rok vydání: 2023
Předmět:
Zdroj: International Journal of Reproduction, Contraception, Obstetrics and Gynecology. 12:940-945
ISSN: 2320-1789
2320-1770
DOI: 10.18203/2320-1770.ijrcog20230791
Popis: Background: According to WHO preterm birth defined as births occurring before completion of 37 weeks, in a pregnancy beyond 20 weeks of gestation. As reported by W.H. O preterm birth has incidence of about 9.6% of all the live births, preterm births have high neonatal morbidity and mortality. In this review we look at association between CRP, IL6, IL8 and salivary progesterone in predicting the preterm delivery. Methods: A hospital based prospective study to be conducted in a group of 100 women of 20- 24 weeks of gestation, they were analysed for IL6, IL8, CRP and salivary progesterone and followed them till delivery. Results: On assessment of the biomarkers to predict the preterm and term pregnancy, we assessed for the blood level of CRP, IL6, IL8 and salivary progesterone among the pregnant women at 20-24 weeks of gestation and followed till the pregnancy outcomes. Among which 46% were with preterm pregnancy and 54% with term pregnancy during delivery. Among them, 20% had the previous preterm pregnancy and 80% were not. We found 70% with normal vaginal delivery, 24% with emergency LSCS and 6% with elective LSCS. Conclusions: The present study documented the significant higher efficacy of IL6, IL8, CRP and salivary progesterone in predicting the preterm pregnancy. Progesterone levels in the saliva was markedly lower among the pregnancy with preterm delivery compared to term delivery outcome. The fetal outcome among the preterm delivery was significantly with morbidity and mortality compared to term delivery. The ROC curve showed the estimation of IL6, IL8, CRP and salivary progesterone at 20-24 weeks of gestation can predict the outcome of preterm pregnancy.
Databáze: OpenAIRE
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