Resource Page

PREDICTIVE ACCURACY OF ADMISSIO CARDIOTOCOGRAPHY IN SCREENING FOR PERINATAL ASPHYXIA AMONGST PARTURIENTS IN ABUJA, NIGERIA

Email:
Supervisor: Dr. DUROJAIYE K.E, Dr. Efetie E.R
Faculty: OBSTETRICS AND GYNAECOLOGY
Institution of Training: NATIONAL HOSPITAL, HOSPITAL.
Month: 11
Year: 2019

Abstract

BACKGROUND Assessment of fetal wellbeing in the labour ward may be achieved through cardiotocography (CTG) on admission, which is a screening test that can detect fetuses with already existing compromise or to predict the fetal wellbeing through the duration of labour. This will allow for timely intervention that can reduce possible neurological damage and perinatal death. The linkage between this screening and perinatal outcome is being explored in this study. OBJECTIVE To evaluate the accuracy of cardiotocography in predicting perinatal asphyxia and to analyze cardiotocographic findings of parturients on admission with neonatal outcome. METHODS This was a comparative cross-sectional study in the labour ward of National Hospital, Abuja. A 20 minutes admission cardiotocography was done in parturients who fulfilled the inclusion criteria. The cardiotocograph tracing was classified as normal, suspicious or pathological as proposed by National Institute for Health and Care Excellence (NICE)-Clinical guideline 2017. Umbilical cord arterial blood was taken immediately after delivery and analyzed for pH status. Apgar score was also documented. The data was analyzed with the aid of Statistical Package for Social Sciences (SPSS) version 22. Measured variables were expressed in descriptive statistics; quantitative variables were summarized using mean and standard deviation while qualitative or categorical variables were expressed as frequency and percentages. Test of association for categorical variables were done using the nonparametric chi-square test where appropriate. P value <0.05 was regarded as statistically significant. Predictive accuracy of admission cardiotocography was determined using sensitivity, specificity and tests for predictive value.

© 2024 NPMCN, All Rights Reserved
Powered by: