Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama.
The George Washington University Biostatistics Center, Washington, District of Columbia.
Am J Perinatol. 2024 Jul;41(9):1223-1231. doi: 10.1055/s-0042-1748527. Epub 2022 Jun 3.
We sought to (1) use the Robson 10-Group Classification System (TGCS), which classifies deliveries into 10 mutually exclusive groups, to characterize the groups that are primary contributors to cesarean delivery frequencies, (2) describe inter-hospital variations in cesarean delivery frequencies, and (3) evaluate the contribution of patient characteristics by TGCS group to hospital variation in cesarean delivery frequencies.
This was a secondary analysis of an observational cohort of 115,502 deliveries from 25 hospitals between 2008 and 2011. The TGCS was applied to the cohort and each hospital. We identified and compared the TGCS groups with the greatest relative contributions to cohort and hospital cesarean delivery frequencies. We assessed variation in hospital cesarean deliveries attributable to patient characteristics within TGCS groups using hierarchical logistic regression.
A total of 115,211 patients were classifiable in the TGCS (99.7%). The cohort cesarean delivery frequency was 31.4% (hospital range: 19.1-39.3%). Term singletons in vertex presentation with a prior cesarean delivery (group 5) were the greatest relative contributor to cohort (34.8%) and hospital cesarean delivery frequencies (median: 33.6%; range: 23.8-45.5%). Nulliparous term singletons in vertex (NTSV) presentation (groups 1 [spontaneous labor] and 2 [induced or absent labor]: 28.9%), term singletons in vertex presentation with a prior cesarean delivery (group 5: 34.8%), and preterm singletons in vertex presentation (group 10: 9.8%) contributed to 73.2% of the relative cesarean delivery frequency for the cohort and were correlated with hospital cesarean delivery frequencies (Spearman's rho = 0.96). Differences in patient characteristics accounted for 34.1% of hospital-level cesarean delivery variation in group 2.
The TGCS highlights the contribution of NTSV presentation to cesarean delivery frequencies and the impact of patient characteristics on hospital-level variation in cesarean deliveries among nulliparous patients with induced or absent labor.
· We report on the cesarean delivery frequencies in a multicenter U.S.
. · NTSV gestations (groups 1 and 2) are a primary driver of cesarean deliveries.. · Patient characteristics contributed most to hospital variation in cesarean deliveries in group 2..
我们旨在:(1)利用 Robson 10 组分类系统(TGCS),该系统将分娩分为 10 个互斥组,以描述对剖宫产率有主要贡献的组;(2)描述医院间剖宫产率的差异;(3)通过 TGCS 组评估患者特征对医院剖宫产率差异的贡献。
这是对 2008 年至 2011 年间 25 家医院的 115502 例分娩的观察性队列的二次分析。将 TGCS 应用于队列和每家医院。我们确定并比较了对队列和医院剖宫产率贡献最大的 TGCS 组。我们使用分层逻辑回归评估了 TGCS 组内患者特征对医院剖宫产率差异的影响。
共有 115211 例患者可归入 TGCS(99.7%)。队列剖宫产率为 31.4%(医院范围:19.1-39.3%)。具有既往剖宫产史的足月头位单胎(第 5 组)是队列和医院剖宫产率的最大相对贡献者(分别为 34.8%和中位数:33.6%;范围:23.8-45.5%)。足月头位初产妇(第 1 组[自然分娩]和第 2 组[诱导或无分娩]:28.9%)、具有既往剖宫产史的足月头位单胎(第 5 组:34.8%)和足月头位单胎(第 10 组:9.8%)是队列剖宫产率的 73.2%,与医院剖宫产率相关(Spearman's rho=0.96)。第 2 组患者特征的差异占医院剖宫产率差异的 34.1%。
TGCS 突出了 NTSV 表现对剖宫产率的贡献,以及患者特征对无诱导或无分娩的初产妇医院剖宫产率差异的影响。
· 我们报告了多中心美国队列的剖宫产率。· NTSV 妊娠(第 1 组和第 2 组)是剖宫产的主要驱动因素。· 患者特征对第 2 组的医院剖宫产率差异贡献最大。