4.6 Article

Derivation of a quick Pitt bacteremia score to predict mortality in patients with Gram-negative bloodstream infection

期刊

INFECTION
卷 47, 期 4, 页码 571-578

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s15010-019-01277-7

关键词

Bacteremia; Sepsis; Antibiotics; Outcomes; Survival

资金

  1. Palmetto Health Richland Research and Education Foundation, Columbia, SC, USA

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PurposeThis retrospective cohort study derived a quick version of the Pitt bacteremia score (qPitt) using binary variables in patients with Gram-negative bloodstream infections (BSI). The qPitt discrimination was then compared to quick sepsis-related organ failure assessment (qSOFA) and systemic inflammatory response syndrome (SIRS).MethodsHospitalized adults with Gram-negative BSI at Palmetto Health hospitals in Columbia, SC, USA from 2010 to 2013 were identified. Multivariate Cox proportional hazards regression was used to determine variables associated with 14-day mortality.ResultsAmong 832 patients with Gram-negative BSI, median age was 65years and 449 (54%) were women. After adjustments for age and Charleston comorbidity score, all five components of qPitt were independently associated with mortality: temperature<36 degrees C [hazard ratio (HR) 3.02, 95% confidence interval (CI) 1.95-4.62], systolic blood pressure<90mmHg or vasopressor use (HR 2.40, 95% CI 1.37-4.13), respiratory rate >= 25/min or mechanical ventilation (HR 3.01, 95% CI 1.81-5.14), cardiac arrest (HR 5.35, 95% CI 2.81-9.43), and altered mental status (HR 3.99, 95% CI 2.44-6.80). The qPitt had higher discrimination to predict mortality [area under receiver operating characteristic curve (AUROC) 0.85] than both qSOFA (AUROC 0.77, p<0.001) and SIRS (AUROC 0.63, p<0.001). There was a significant difference in mortality between appropriate and inappropriate empirical antimicrobial therapy in patients with qPitt >= 2 (24% vs. 49%, p<0.001), but not in those with qPitt<2 (3% vs. 5%, p=0.36).ConclusionsThe qPitt had good discrimination in predicting mortality following Gram-negative BSI and identifying opportunities for improved survival with appropriate empirical antimicrobial therapy.

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