Comparative Analysis of Pathological Cardiotocography as Predictor of Adverse Perinatal Outcome among High-Risk Pregnancy Group
Year: 2024
Type: article
Study design: Observational Study
Abstract: Objective: Determination of the frequency of pathological cardiotocography in laboring women with high-riskpregnancies and to compare perinatal outcomes with and without pathological CTG among them.Study Design: Comparative cross-sectional study.Place and Duration of Study: The study was conducted at the Gynecology Department, Combined MilitaryHospital (CMH) Lahore, Pakistan from March 2023 to September 2023.Methods: A total 75 women with high-risk pregnancies were included in this cross-sectional comparative study.Women were selected by consecutive nonprobability sampling techniques. Adverse perinatal outcomes wereassessed in terms of stillbirth, cesarean section, low Apgar score, neonatal mortality, and morbidity. StatisticalPackage for Social Sciences (SPSS) version 25 was used for data analysis. Quantitative variables like age, parity,gestational age, and Apgar score were presented as mean± SD. Frequency and percentage were used forqualitative variables like high-risk illness, pathological CTG finding, cesarean section, stillbirth, neonatalmortality, and neonatal intensive care unit admission. Two groups were compared by using Chi-square test.Data stratification was done for age and gestational age. P-value ≤0.05 was considered as significant.Results: A mean age of 28.0±4.1 years was found in included women. Pathological CTG was found in 28 cases(37.3%). The adverse perinatal outcome was found significantly higher in a group with pathological CTG(P≤0.005).Conclusion: The relationship and frequency of pathological CTG in high-risk pregnancies should be timelydetermined to get good maternal and fetal outcomes. Women with pathological CTG, are at great risk ofcaesarean section with rising trends of low Apgar score at birth, increased rate of NICU admission, andmortality.
Source: Life and Science
DOI: 10.37185/lns.1.1.576
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4402496096