Roth Jan A, Widmer Andreas F, Tschudin-Sutter Sarah, Dangel Marc, Frei Reno, Battegay Manuel, Hug Balthasar L
Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland.
University of Basel, Basel, Switzerland.
PLoS One. 2017 Apr 17;12(4):e0175669. doi: 10.1371/journal.pone.0175669. eCollection 2017.
Automated laboratory-based prediction models may support clinical decisions in Staphylococcus aureus bloodstream infections (BSIs), which carry a particularly high mortality. Small studies indicated that the laboratory-based Model for End-stage Liver Disease (MELD) score is a risk factor for mortality in critically ill patients with infections. For S. aureus BSIs, we therefore aimed to assess a potential association of the MELD score with mortality.
In this single-centre observational study, all consecutive patients with a first episode of methicillin-susceptible S. aureus BSI occurring between 2001 and 2013 were eligible. Relevant patient data were retrieved from our prospective in-house BSI database. We assessed the association of the MELD score at day of BSI onset (range ± two days) with 30-day all-cause mortality using uni- and multivariable logistic regression analysis.
561 patients were included in the final analysis. The MELD score at BSI onset was associated with 30-day mortality in S. aureus BSIs (odds ratio per 1-point increase, 1.06; 95% confidence interval, 1.03‒1.09; P < 0.001). After adjustment for relevant patient and infection characteristics, an increased MELD score remained a predictor of 30-day mortality (adjusted odds ratio per 1-point increase, 1.05; 95% confidence interval, 1.01‒1.08; P = 0.005).
In our study population, the MELD score at BSI onset was an independent predictor of mortality in S. aureus BSIs. We therefore suggest to prospectively validate the MELD score as part of clinical decision support systems in inpatients with suspected or confirmed BSI.
基于实验室的自动化预测模型可能有助于指导金黄色葡萄球菌血流感染(BSI)的临床决策,此类感染的死亡率特别高。小型研究表明,基于实验室的终末期肝病模型(MELD)评分是重症感染患者死亡的危险因素。因此,对于金黄色葡萄球菌血流感染,我们旨在评估MELD评分与死亡率之间的潜在关联。
在这项单中心观察性研究中,纳入了2001年至2013年间首次发生甲氧西林敏感金黄色葡萄球菌血流感染的所有连续患者。从我们前瞻性的内部血流感染数据库中检索相关患者数据。我们使用单变量和多变量逻辑回归分析评估血流感染发病当天(范围为±两天)的MELD评分与30天全因死亡率之间的关联。
561例患者纳入最终分析。金黄色葡萄球菌血流感染发病时的MELD评分与30天死亡率相关(每增加1分的比值比为1.06;95%置信区间为1.03 - 1.09;P < 0.001)。在对相关患者和感染特征进行调整后,MELD评分升高仍然是30天死亡率的预测指标(每增加1分的调整后比值比为1.05;95%置信区间为1.01 - 1.08;P = 0.005)。
在我们的研究人群中,血流感染发病时的MELD评分是金黄色葡萄球菌血流感染死亡率的独立预测指标。因此,我们建议前瞻性地验证MELD评分,作为疑似或确诊血流感染住院患者临床决策支持系统的一部分。