Applicability of Prediction Rules in Patients With Community-Acquired Pneumonia Requiring Intensive Care: A Pilot Study

Author:

Smyrnios Nicholas A.1,Schaefer Oren P.2,Collins Roslinde M.2,Madison J. Mark2

Affiliation:

1. Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, MA,

2. Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, MA

Abstract

Little attention has been paid to developing prediction rules that could assist in deciding which patients with community-acquired pneumonia (CAP) need intensive care. Four existing prediction rules were examined to determine if any could predict the need for intensive care in these patients. The prediction rules studied were British Thoracic Society (BTS), Conte et al, Leroy et al, and Fine et al. Thirty-two patients admitted to the medical or coronary intensive care unit (ICU) during 1 year with pneumonia Diagnosis Related Group 079 or 089 were evaluated. The sensitivity of each rule for identifying a need for ICU admission in our group was BTS .72 using both rules together, Conte et al .47, Leroy et al .56, and Fine et al .84. It was concluded that these rules poorly identify the need for ICU admission for patients with severe CAP. Of the 4 rules tested, the BTS rule was the simplest, and the Fine et al rule was the most sensitive. None of them performed well enough to be used for decision making in individual patients.

Publisher

SAGE Publications

Subject

Critical Care and Intensive Care Medicine

Cited by 7 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