Analysis of Different Routes of Hysterectomy Based on a Prospective Algorithm and Their Complications in a Tertiary Care Institute

基于前瞻性算法的子宫切除术不同路径及其并发症分析(三级医疗机构)

阅读:1

Abstract

INTRODUCTION: Hysterectomy is the most common gynaecological operation worldwide. The objective of the study is to analyze the various routes of hysterectomy and its complications when the decision of route is based on using a prospective algorithm tree. Methodology. It is an observational study to analyze the route of hysterectomy based on using a prospective algorithm. The decision tree is based on pelvic pathology, uterine size, vaginal access, pelvic adhesion, competency of the surgeon, choice of the patient, and complication of different routes of hysterectomy. Data were collected from preoperative, intraoperative, and postoperative records. Demographic factors, indications, routes of hysterectomy, and complications were recorded and analyzed by using SPSS software version 22. Observation. Among the malignant or suspected malignant pathology groups, TAH was performed in 89 cases and TLH was performed in 3 cases. Among the benign disease groups, VH was performed in 137(38.2%) cases, TAH was performed in 118(32.9%) cases, and TLH was performed in 104 (28.9%) cases. Operative time and a number of blood transfusions were significantly less with VH (p value < 0.0001 and 0.004) compared to abdominal and total laparoscopic hysterectomy. Postoperative complication such as fever was more with abdominal hysterectomy (p-value<0.00001) compared to VH and TLH. Vaginal discharge was more with VH and TLH compared to TAH (p value -0.004) and wound infection was more in the abdominal route (p value 0.001). CONCLUSION: The abdominal route was the route of choice for surgery in malignancy or suspected malignant pathology. In benign pathology, VH was the most common and preferable route of surgery. Complications were found to be minimal with vaginal hysterectomy.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。