Silva Maria Laura Alves de Melo, Guida José Paulo de Siqueira, Lajos Giuliane Jesus, Costa Maria Laura, Luz Adriana Gomes
Universidade Estadual de Campinas Departamento de Tocoginecologia CampinasSP Brazil Departamento de Tocoginecologia, Universidade Estadual de Campinas, Campinas, SP, Brazil.
Rev Bras Ginecol Obstet. 2025 Jul 15;47. doi: 10.61622/rbgo/2025rbgo51. eCollection 2025.
The Robson Ten Group Classification System categorizes women into groups based on obstetric characteristics. For each group there is a suggested cesarean section rate. Robson Ten Group Classification System allows for surveillance and evaluation of increasing cesarean section rate. This study aimed to evaluate deliveries in a Brazilian referral maternity hospital in the last decade using the Robson Ten Group Classification System.
This was a retrospective cross-sectional study performed in a referral hospital, analyzing deliveries from January 2009 to August 2022. Women were classified into Robson's 10 groups based on electronic medical charts. Overall rates per year and cesarean section rate within each group were calculated and compared.
There was an increasing cesarean section rate over time (46.23% in 2009 vs 62.99% in 2022) in all groups. Groups 1-4, 5 and 10 had a significant increase. Among Groups 1-4 cesarean section rate increased from 34.06% to 38.59% (PR 1.132, CI 1.007-1.274), group 5 from 67.66% to 83.53% (PR 1.234, CI 1.151-1.323) and group 10 from 51.55% to 60% (PR 1.163, CI 1.017-1.332). In global analysis, groups 1-4 corresponded to 57.3% of included cases and its relative contribution to cesarean section rate was 31.6%, while group 5 represented 18.9% of cases and its relative contribution to cesarean section rate was 28.5%.
Groups 1-4 and 5 contributed significantly to cesarean section rate in our analysis and group 10 (preterm birth) also had a major impact, considering the high risk setting. Cesarean section rate increased over time. Groups 1, 2, 5, and 10 contribute significantly to such an increase.
罗布森十组分类系统根据产科特征将女性分为不同组。每组都有一个建议的剖宫产率。罗布森十组分类系统有助于监测和评估剖宫产率的上升情况。本研究旨在使用罗布森十组分类系统评估一家巴西转诊妇产医院过去十年的分娩情况。
这是一项在转诊医院进行的回顾性横断面研究,分析了2009年1月至2022年8月的分娩情况。根据电子病历将女性分为罗布森的10个组。计算并比较每年的总体剖宫产率以及每组内的剖宫产率。
所有组的剖宫产率均随时间上升(2009年为46.23%,2022年为62.99%)。第1 - 4组、第5组和第10组有显著上升。在第1 - 4组中,剖宫产率从34.06%增至38.59%(PR 1.132,CI 1.007 - 1.274),第5组从67.66%增至83.53%(PR 1.234,CI 1.151 - 1.323),第10组从51.55%增至60%(PR 1.163,CI 1.017 - 1.332)。在总体分析中,第1 - 4组占纳入病例的57.3%,其对剖宫产率的相对贡献为31.6%,而第5组占病例的18.9%,其对剖宫产率的相对贡献为28.5%。
在我们的分析中,第1 - 4组和第5组对剖宫产率有显著贡献,考虑到高危情况,第10组(早产)也有重大影响。剖宫产率随时间上升。第1、2、5和10组对这种上升有显著贡献。