Suppr超能文献

根据罗伯逊十组分类系统对葡萄牙一家三级医院剖宫产率的分析。

Cesarean Section Rate Analysis in a Tertiary Hospital in Portugal According to Robson Ten Group Classification System.

机构信息

Departamento de Ginecologia, Obstetrícia e Medicina da Reprodução, Hospital de Santa Maria, Centro Hospitalar de Lisboa Norte, Lisboa, Portugal.

出版信息

Rev Bras Ginecol Obstet. 2020 Jun;42(6):310-315. doi: 10.1055/s-0040-1712127. Epub 2020 Jun 30.

Abstract

OBJECTIVE

The Robson 10 group classification system (RTGCS) is a reproducible, clinically relevant and prospective classification system proposed by the World Health Organization (WHO) as a global standard for assessing, monitoring and comparing cesarean section (CS) rates. The purpose of the present study is to analyze CS rates according to the RTGCS over a 3-year period and to identify the main contributors to this rate.

METHODS

We reviewed data regarding deliveries performed from 2014 up to 2016 in a tertiary hospital in Portugal, and classified all women according to the RTGCS. We analyzed the CS rate in each group.

RESULTS

We included data from 6,369 deliveries. Groups 1 ( = 1,703), 2 ( = 1,229) and 3 ( = 1,382) represented 67.7% of the obstetric population. The global CS rate was 25% ( = 1,594). Groups 1, 2, 5 and 10 were responsible for 74.2% of global CS deliveries.

CONCLUSION

As expected, Groups 1, 2, 5 and 10 were the greatest contributors to the overall CS rate. An attempt to increase the number of vaginal deliveries in these groups, especially in Groups 2 and 5, might contribute to the reduction of the CS rate.

摘要

目的

罗伯逊 10 组分类系统(RTGCS)是世界卫生组织(WHO)提出的一种可重复、具有临床相关性和前瞻性的分类系统,作为评估、监测和比较剖宫产率的全球标准。本研究的目的是根据 RTGCS 在 3 年内分析剖宫产率,并确定导致这一比率的主要因素。

方法

我们回顾了葡萄牙一家三级医院 2014 年至 2016 年期间的分娩数据,并根据 RTGCS 对所有妇女进行分类。我们分析了每个组的剖宫产率。

结果

我们纳入了 6369 例分娩的数据。第 1 组( = 1703)、第 2 组( = 1229)和第 3 组( = 1382)占产科人群的 67.7%。全球剖宫产率为 25%( = 1594)。第 1、2、5 和 10 组负责全球 74.2%的剖宫产分娩。

结论

正如预期的那样,第 1、2、5 和 10 组是导致总体剖宫产率的最大因素。尝试增加这些组中阴道分娩的数量,特别是第 2 和第 5 组,可能有助于降低剖宫产率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a93b/10418145/53f08a27ccb8/10-1055-s-0040-1712127-i180384-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验