Is the SIRS Criteria a Good Predictor of Blood stream Infection in Cirrhosis? A Single-Center Retrospective Analysis

Nandakumar Mohan , Samir Shah , Atif Nehvi , Edward Bley , Kevin Bryan Lo , Sarah Perloff
{"title":"Is the SIRS Criteria a Good Predictor of Blood stream Infection in Cirrhosis? A Single-Center Retrospective Analysis","authors":"Nandakumar Mohan ,&nbsp;Samir Shah ,&nbsp;Atif Nehvi ,&nbsp;Edward Bley ,&nbsp;Kevin Bryan Lo ,&nbsp;Sarah Perloff","doi":"10.1016/j.ajmo.2023.100052","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>Cirrhosis-associated immune dysfunction (CAID) is a chronic vasodilatory state with hyperdynamic circulation and alterations in thermoregulation that may make patients more susceptible to and mask underlying infection. This study aims to determine whether SIRS criteria are an accurate tool for predicting bloodstream infection (BSI) in cirrhosis.</p></div><div><h3>Methods</h3><p>In our retrospective chart review, study population included patients with cirrhosis that were 18 years or older. For all study patients, model for end-stage liver disease (MELD) scores and values for each SIRS variable at the time of admission and blood culture data were recorded. Univariable and multivariable logistic regression analysis was performed to identify any associations between dichotomized SIRS variables that fulfill SIRS positivity and BSI.</p></div><div><h3>Results</h3><p>Significantly more patients without BSI met positivity criteria for WBC counts (30% vs 13% <em>p</em> &lt; .001). In the analysis of the SIRS variables as continuous variables in prediction of BSI, the AUC curves generated were all unsatisfactory with the temperature (36-38°C) and WBC count (4 × 10<sup>3</sup> to 12 × 10<sup>3</sup> mcL) at the time of admission having the highest areas under the ROC curve (0.52 and 0.55, respectively). Looking at the SIRS variables dichotomized (according to whether fulfilling SIRS criteria or not) in univariable logistic regression, only WBC counts meeting SIRS criteria were significantly associated with BSI OR 0.37 (0.18-0.77); <em>p</em> = .008, but this was an inverse association. This association was true even in the multivariable model OR 0.38 (0.18-0.80); <em>p</em> = .01.</p></div><div><h3>Conclusion</h3><p>Our study shows that SIRS criteria are a poor predictor of BSI among patients with cirrhosis.</p></div>","PeriodicalId":72168,"journal":{"name":"American journal of medicine open","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of medicine open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667036423000225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction

Cirrhosis-associated immune dysfunction (CAID) is a chronic vasodilatory state with hyperdynamic circulation and alterations in thermoregulation that may make patients more susceptible to and mask underlying infection. This study aims to determine whether SIRS criteria are an accurate tool for predicting bloodstream infection (BSI) in cirrhosis.

Methods

In our retrospective chart review, study population included patients with cirrhosis that were 18 years or older. For all study patients, model for end-stage liver disease (MELD) scores and values for each SIRS variable at the time of admission and blood culture data were recorded. Univariable and multivariable logistic regression analysis was performed to identify any associations between dichotomized SIRS variables that fulfill SIRS positivity and BSI.

Results

Significantly more patients without BSI met positivity criteria for WBC counts (30% vs 13% p < .001). In the analysis of the SIRS variables as continuous variables in prediction of BSI, the AUC curves generated were all unsatisfactory with the temperature (36-38°C) and WBC count (4 × 103 to 12 × 103 mcL) at the time of admission having the highest areas under the ROC curve (0.52 and 0.55, respectively). Looking at the SIRS variables dichotomized (according to whether fulfilling SIRS criteria or not) in univariable logistic regression, only WBC counts meeting SIRS criteria were significantly associated with BSI OR 0.37 (0.18-0.77); p = .008, but this was an inverse association. This association was true even in the multivariable model OR 0.38 (0.18-0.80); p = .01.

Conclusion

Our study shows that SIRS criteria are a poor predictor of BSI among patients with cirrhosis.

SIRS标准是肝硬化血流感染的良好预测指标吗?单中心回顾性分析
肝硬化相关免疫功能障碍(CAID)是一种慢性血管舒张状态,伴有高动力循环和体温调节的改变,这可能使患者更容易感染并掩盖潜在的感染。本研究旨在确定SIRS标准是否是预测肝硬化血流感染(BSI)的准确工具。方法在我们的回顾性图表回顾中,研究人群包括18岁及以上的肝硬化患者。对于所有研究患者,记录入院时终末期肝病模型(MELD)评分和每个SIRS变量的值以及血培养数据。采用单变量和多变量logistic回归分析来确定SIRS阳性的二分类SIRS变量与BSI之间的关联。结果:无BSI患者WBC计数符合阳性标准的患者明显增多(30% vs 13% p <措施)。在将SIRS变量作为预测BSI的连续变量进行分析时,所生成的AUC曲线均不理想,入院时的温度(36 ~ 38℃)和白细胞计数(4 × 103 ~ 12 × 103 mcL)的ROC曲线下面积最大(分别为0.52和0.55)。单变量logistic回归中SIRS变量二分类(根据是否满足SIRS标准),只有符合SIRS标准的WBC计数与BSI显著相关or为0.37 (0.18-0.77);P = 0.008,但这是负相关。即使在多变量模型中,这种关联也是成立的OR为0.38 (0.18-0.80);p = 0.01。结论我们的研究表明SIRS标准不能很好地预测肝硬化患者的BSI。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
American journal of medicine open
American journal of medicine open Medicine and Dentistry (General)
自引率
0.00%
发文量
0
审稿时长
47 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信