Predictive performance of the sequential organ failure assessment score for in‐hospital mortality in patients with end‐stage kidney disease in intensive care units: A multicenter registry in Japan

Author:

Shimada Hiroki1ORCID,Matsuoka Yoshinori234,Miyakoshi Chisato3,Ito Jiro1,Seo Ryutaro2,Ariyoshi Koichi2,Yamamoto Yosuke4,Mima Hiroyuki1

Affiliation:

1. Department of Anesthesia and Critical Care Kobe City Medical Center General Hospital Kobe Hyogo Japan

2. Department of Emergency Medicine Kobe City Medical Center General Hospital Kobe Hyogo Japan

3. Center for Clinical Research and Innovation Kobe City Medical Center General Hospital Kobe Hyogo Japan

4. Department of Healthcare Epidemiology Graduate School of Medicine and Public Health, Kyoto University Kyoto Japan

Abstract

AbstractIntroductionThere is limited evidence regarding whether the performance of the Sequential Organ Failure Assessment (SOFA) score differs between patients with and without end‐stage kidney disease (ESKD) in intensive care units (ICUs).MethodsWe used a multicenter registry (Japanese Intensive care Patient Database) to enroll adult ICU patients between April 2018 and March 2021. We recalibrated the SOFA score using a logistic regression model and evaluated its predictive ability in both ESKD and non‐ESKD groups. The primary outcome was in‐hospital mortality.Results128 134 patients were enrolled. The AUROC of the SOFA score was lower in the ESKD group than in the non‐ESKD group [0.789 (95% CI, 0.774–0.804) vs. 0.846 (95% CI, 0.841–0.850)]. The calibration plot revealed good performance in both groups. However, it overestimated in‐hospital mortality in ESKD groups.ConclusionThe SOFA score demonstrated good predictive ability in patients with and without ESKD, but it overestimated the in‐hospital mortality in ESKD patients.

Publisher

Wiley

Subject

Nephrology,Hematology

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