An analysis of cervicovaginal β-HCG and prolactin levels as a predictive biomarker of preterm birth in symptomatic women

Background: Preterm birth is a major cause of neonatal and infant illness mortality in developing countries. It associated with severe suffering for both the mother neonate as well long-term disabilities; hence interventions to prevent preterm are critical. Therefore, accurate markers determining whether pregnant woman at high risk delivery could lead better surveillance more timely intervention improve outcomes. Aims: To determine compare predictive value cervicovaginal β-Human Chorionic Gonadotropin (β-hCG) Prolactin levels symptomatic women. Materials & Methods: All consenting eligible women between 28 36 weeks gestation who were hospitalized symptoms labour recruited study. One fluid sample per was collected quantitative estimation β-hCG Enzyme Linked Immunosorbent Assay (ELISA) kits done. They followed up till their divided into two groups depending on outcome i.e., they had term or delivery. Results: A total 40 involved analysis which (70%) progressed have rest 12 (30%) continued term. The association mean found be statistically significant p-value < 0.001. optimal cut-off predicting reported greater than 15.54 mIU/ml, specificity, sensitivity, negative positive 100%, 60.7%, 52.2%, 100% respectively. Whereas, prolactin 6.24 ng/ml 83.3%, 89.29%, 76.9%, 92.6% area under receiver operating characteristic (ROC) curve 0.820 0.920 Conclusion: Cervicovaginal level predictor when compared level.