Preoperative modified frailty index to predict surgical complications in endometrial cancer patients

Author:

Pichatechaiyoot Aroontorn,Thannil Sarayut,Boonyapipat Sathana,Buhachat Rakchai

Abstract

ObjectiveTo assess the predictive value of the preoperative modified frailty index (mFI) for postoperative complications in endometrial carcinoma, evaluate risk factors associated with complications, and compare the predictive properties of the mFI with the American Society of Anesthesiologists (ASA) physical status classification.MethodsA total of 364 patients with endometrial cancer who underwent primary surgery between January 2009 and December 2016 were examined. The prognostic value of mFI in predicting severe postoperative complications, assessed according to the Clavien-Dindo classification, was analyzed and compared with ASA status. The risk factors for adverse outcomes were determined using multivariate analysis.ResultsThe 30-day postoperative surgical- or medical-related complication rate was 26.6%. The rates of postoperative complications were 1.3%, 8.8%, 12.2%, and 60.0% for mFI scores of 0, 1, 2, and ≥3, respectively (P<0.001). The odds ratios for predicting postoperative complications in patients with mFI scores of 1, 2, and ≥3 were 7.38, 10.59, and 114.75, respectively. In the multivariate analysis, the significant predictive factors for postoperative complications were mFI ≥1, body mass index (BMI) ≥30 kg/m2, and non-endometrioid cell type. At cut-off points of mFI ≥1 and ASA ≥2, both tools had similar sensitivities but mFI was more specific (sensitivities 92.9% vs. 100%; specificity 45.5% vs. 19.4%).ConclusionmFI provides a satisfactory predictive value for postoperative complications. Patients with an mFI score ≥1, a BMI ≥30 kg/m2, and a non-endometrioid subtype, are at risk of postoperative complications and should receive comprehensive preoperative and postoperative management.

Publisher

Korean Society of Obstetrics and Gynecology

Subject

Obstetrics and Gynecology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3