Nandakumar Mohan , Samir Shah , Atif Nehvi , Edward Bley , Kevin Bryan Lo , Sarah Perloff
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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> < .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":"10 ","pages":"Article 100052"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Is the SIRS Criteria a Good Predictor of Blood stream Infection in Cirrhosis? 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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> < .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. 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引用次数: 0
摘要
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。
Is the SIRS Criteria a Good Predictor of Blood stream Infection in Cirrhosis? A Single-Center Retrospective Analysis
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.