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艰难梭菌感染的疾病严重程度分类对预测结肠切除术需求或住院患者死亡的效能。

Performance of severity of illness classification for Clostridium difficile infection to predict need-for-colectomy or inpatient death.

作者信息

Khan Adnan, Elashery Ahmad, Kapadia Shyam, Chandra Subhash

机构信息

Internal Medicine Residency Program, Department of Medicine, Greater Baltimore Medical Center, Towson, MD, USA.

出版信息

J Community Hosp Intern Med Perspect. 2014 Jul 31;4(3). doi: 10.3402/jchimp.v4.24711. eCollection 2014.

Abstract

BACKGROUND

In current state of practice, disease severity assessment for Clostridium difficile infection (CDI) lacks consensus between different organizations. In the latest guidelines for management of CDI, authors have proposed a new disease severity classification. This classification has been derived from expert opinion and includes previously reported patient related factors that predict unfavorable outcome in CDI.

OBJECTIVE

To evaluate the performance of new disease severity classification to predict CDI-related colectomy or in-patient deaths.

METHODS

This observational study was performed at a 300-bed community hospital catering to a suburban population. All the adult patients discharged during October 2005 through September 2012 and diagnosed with CDI were included in the study. Cases of CDI were identified using the billing database. Demographic and clinical characteristics of CDI cases were extracted from medical chart reviews performed by two physician researchers. Cases were classified as mild-to-moderate, severe, or severe and complicated CDI. Major outcomes measured were in-patient deaths and colectomy attributed to CDI. For risk stratification, each variable of severe and complicated CDI was counted.

RESULTS

In total, 59,897 patients were discharged from our hospital during the study period; 894 of them were diagnosed with CDI. Mean age of CDI cases was 74 years (standard deviation 15 years), 345 (39%) were male, and median length of hospital stay was 7 days (interquartile range 4-13). One hundred ninety-one patients (21%) were classified as mild-to-moderate, 93 patients (10%) as severe, and 610 patients (68%) as severe and complicated. In total, 14 patients underwent colectomy for CDI and 53 patients expired. In 35 of these patients, the cause of death was thought to be CDI. The combined outcome (CDI-related colectomy and/or death in hospital) occurred in 47 patients. None of the patients in mild-to-moderate disease or severe disease had combined outcome. On severe and complicated cases, as the score increased, rate of combined outcome increased significantly (z-12.7, p<0.0001). On plotting receiver-operating curve, the simple variable count had area under the curve of 0.91.

CONCLUSION

The newly proposed disease severity classification for CDI categorized more than two-thirds of patients as severe and complicated. Increase in number of severe and complicated classifying variables increases the chance of adverse outcomes significantly. Patients meeting only one variable could be potentially treated as a severe case instead of severe and complicated. This data needs to validated prospectively before could be used in clinical practice.

摘要

背景

在当前的临床实践中,不同组织之间对于艰难梭菌感染(CDI)的疾病严重程度评估缺乏共识。在最新的CDI管理指南中,作者提出了一种新的疾病严重程度分类。这种分类源自专家意见,包括先前报道的与患者相关的因素,这些因素可预测CDI的不良结局。

目的

评估新的疾病严重程度分类对预测CDI相关结肠切除术或住院死亡的性能。

方法

这项观察性研究在一家拥有300张床位、服务于郊区人口的社区医院进行。纳入2005年10月至2012年9月期间出院且被诊断为CDI的所有成年患者。使用计费数据库识别CDI病例。通过两名医师研究人员进行的病历审查提取CDI病例的人口统计学和临床特征。病例被分类为轻度至中度、重度或重度且复杂的CDI。测量的主要结局是住院死亡和归因于CDI的结肠切除术。为了进行风险分层,对重度且复杂的CDI的每个变量进行计数。

结果

在研究期间,我院共有59,897名患者出院;其中894人被诊断为CDI。CDI病例的平均年龄为74岁(标准差15岁),345人(39%)为男性,住院中位时间为7天(四分位间距4 - 13天)。191名患者(21%)被分类为轻度至中度,93名患者(10%)为重度,610名患者(68%)为重度且复杂。共有14名患者因CDI接受了结肠切除术,53名患者死亡。在这些患者中,35人的死亡原因被认为是CDI。联合结局(CDI相关结肠切除术和/或住院死亡)发生在47名患者中。轻度至中度疾病或重度疾病的患者均无联合结局。在重度且复杂的病例中,随着评分增加,联合结局的发生率显著增加(z = - 12.7,p < 0.0001)。绘制受试者工作特征曲线时,简单变量计数的曲线下面积为0.91。

结论

新提出的CDI疾病严重程度分类将超过三分之二的患者归类为重度且复杂。重度且复杂分类变量数量的增加显著增加了不良结局的可能性。仅符合一个变量的患者可能有可能被视为重度病例而非重度且复杂病例。在可用于临床实践之前,这些数据需要进行前瞻性验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f56/4120135/76f25e9deb48/JCHIMP-4-24711-g001.jpg

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