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Analysis of Cesarean Sections using Robson’s Ten Group Classification System
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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.
doi: https://doi.org/10.12669/pjms.37.2.3823
How to cite this:Parveen R, Khakwani M, Naz A, Bhatti R. Analysis of Cesarean Sections using Robson’s Ten Group Classification System. Pak J Med Sci. 2021;37(2):567-571. doi: https://doi.org/10.12669/pjms.37.2.3823
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Pakistan Journal of Medical Sciences
Title: Analysis of Cesarean Sections using Robson’s Ten Group Classification System
Description:
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.
doi: https://doi.
org/10.
12669/pjms.
37.
2.
3823
How to cite this:Parveen R, Khakwani M, Naz A, Bhatti R.
Analysis of Cesarean Sections using Robson’s Ten Group Classification System.
Pak J Med Sci.
2021;37(2):567-571.
doi: https://doi.
org/10.
12669/pjms.
37.
2.
3823
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.
org/licenses/by/3.
0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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