Model for End-stage Liver Disease (MELD) in Predicting Postoperative Mortality of Patients Undergoing Colorectal Surgery

Author:

Hedrick Traci L.1,Swenson Brian R.2,Friel Charles M.1

Affiliation:

1. Department of Surgery, University of Virginia, Charlottesville, Virginia; and

2. St. John's Clinic, Springfield, Missouri

Abstract

The Model for End-stage Liver Disease (MELD) score was previously shown to predict perioperative mortality in patients with cirrhosis undergoing a variety of nontransplant surgical procedures. We sought to determine its usefulness in predicting postoperative mortality in patients undergoing colorectal procedures. National Surgical Quality Improvement Program data were gathered for adult patients undergoing elective and emergent colorectal procedures (Current Procedural Terminology codes 44005 through 45563 excluding appendectomy) during 2005 and 2006 at participating centers. The preoperative MELD score was calculated for all patients and assessed using logistic regression modeling. A total of 10,033 patients met study inclusion criteria. Overall 30-day mortality was 6.6 per cent. In all patients undergoing colorectal surgery, MELD was anindependent predictor of mortality (2.95 [2.27 to 3.84]). Other independent predictors included age, functional status, American Society of Anesthesiologists classification, ascites, esophageal varices, disseminated cancer, chronic steroid use, cardiac disease, renal failure, malnutrition, sepsis, emergency, and ventilator dependence. The MELD score is an independent predictor of mortality in patients undergoing colorectal procedures. These data can be used to assign risk and assist in clinical decision-making.

Publisher

SAGE Publications

Subject

General Medicine

Cited by 22 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