Admission Test and Pregnancy Outcome
Journal Title: Iranian Journal of Medical Sciences - Year 2017, Vol 42, Issue 4
Abstract
Background: The admission test (AT) has been carried out for many years, but there are still debates about the prognostic value of the test. Therefore, we aimed to examine the value of the AT in predicting the adverse outcome in neonates. Methods: In this cross-sectional study, 425 pregnant women with normal vaginal delivery were studied between2009 and 2014at Vali-e-Asr Hospital. Based on the results, the women were divided into 2groups of normal and abnormal ATs. All the patients were followed up until the birth of their baby, when the status of mother and neonate was determined. The main outcomes of the study were cesarean rate, neonatal intensive care unit (NICU) admission, fetus demise, neonatal acidosis, and Apgar score. The independent t-test, chi-square test, Fisher exact test, and logistic regression were used for statistical analysis. The data were analyzed using SPSS (version 17). Results: Of 425 pregnant women studied, 142 (33.4%) had abnormal ATs with a mean age of 29 (±4.5) years. Multivariate analysis showed that an abnormal AT was able to predict the incidence of cesarean section, intrauterine growth restriction, turned cord, and Apgar<7, but it could not predict neonatal death and hypoxia. Conclusion: The AT was shown to be a useful screening test with risk factors such as oligohydramnios, bloody amniotic fluid, meconium amniotic fluid, intrauterine growth restriction, and turned cord. Additionally, the test was also able to predict NICU admission and the need for cesarean section, but it could not predict the occurrence of neonatal death.
Authors and Affiliations
Setareh Akhavan, Parvaneh Lak, Fatemeh Rahimi-Sharbaf, Seyed Rahim Mohammadi, Mahboobeh Shirazi
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Admission Test and Pregnancy Outcome
Background: The admission test (AT) has been carried out for many years, but there are still debates about the prognostic value of the test. Therefore, we aimed to examine the value of the AT in predicting the adverse ou...