Analysis of Cesarean Sections using Robson's Ten Group Classification System
- PMID: 33679951
- PMCID: PMC7931279
- DOI: 10.12669/pjms.37.2.3823
Analysis of Cesarean Sections using Robson's Ten Group Classification System
Abstract
Objective: To analyze trends of CSs and evaluating them according to Robson's Ten Groups Classification System (TGCS) at a leading government tertiary care hospital of South Punjab, Pakistan.
Methods: This cross-sectional study was conducted at Department of Obstetrics and Gynaecology, Nishtar Medical University Hospital, Multan Pakistan, from October 2019 to March 2020.The study population included a total of 167 women who underwent CS in the hospital during the specified study period. For each case, we collected data regarding maternal characteristics and pregnancy-related information. The dependent variable was Robson classification group.
Results: Overall, mean age was 26.53+5.1 years. Majority of the women, 116 (69.5%) belonged to urban areas of residence, 74 (44.3%) gestational aged between 37-42 years while 108 (64.7%) had history of cesarean section. Most of the patients, 85 (50.9%) turned out to be from TGCS Group-10. Group-5 and Group-1 were the 2nd and 3rd most common group, accounted for 24 (14.4%) and 19 (11.4%) cases respectively. Previous cesarean section (20.4%) and fetal distress (19.8%) were found to be most common indications leading to cesarean section.
Conclusion: As per Robson's Ten-Group Classification, Group-10 and Group-5 were found to be the most contributing among deliveries done. Previous cesarean section and fetal distress were the most common indications of cesarean section.
Keywords: Cesarean section; Fetal distress; Robson’s Ten-Group Classification.
Copyright: © Pakistan Journal of Medical Sciences.
Conflict of interest statement
Conflict of Interest: None.
References
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- Ye J, Zhang J, Mikolajczyk R, Rorloni MR, Gulmezoglu Am, Betran AP. Association between rates of caesarean section and maternal and neonatal mortality in the 21st century:a worldwide population-based ecological study with longitudinal data. BJOG. 2016;123(5):745–753. doi:10.1111/1471-0528.13592. - PMC - PubMed
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