Search

Importance: Our study addresses a significant issue in the medical and scientific community-the delayed administration of appropriate antimicrobial treatments due to the time-consuming process of phenotypic susceptibility data collection in gram-negative bloodstream infections. Our research indicates that a multiplex PCR rapid diagnostic test (RDT) significantly outperformed two clinical scoring tools in predicting ceftriaxone susceptibility. Multiplex PCR also led to reduced instances of undertreatment with ceftriaxone and minimized overtreatment with carbapenems. Furthermore, multiplex PCR demonstrated high sensitivity and specificity in predicting ceftriaxone susceptibility. The results of our study underscore the potential RDTs to reduce the time to appropriate antimicrobial therapy, leading to improved patient outcomes and reduced healthcare costs., Competing Interests: Tristan T. Timbrook is an employee and stockholder of BioMérieux. No other authors have any financial disclosures.

Study Objective: Bloodstream infections (BSIs) are a significant cause of mortality. Use of a rapid multiplex polymerase chain reaction-based blood culture identification panel (BCID) may improve antimicrobial utilization and clinical outcomes by shortening the time to appropriate therapy and de-escalating antibiotics among patients on overly broad-spectrum empiric therapy. The effect of BCID on clinical outcomes across varying institutional antimicrobial stewardship program (ASP) practices is unclear. This study evaluated clinical outcomes associated with the "real-world" implementation of BCID in a national health system with varying ASP practices., Design: National, multicenter, retrospective, pre-post quasi-experimental study of hospitalized patients admitted from 2015 to 2020 to VHA facilities, which introduced the BCID for ≥1 year., Setting: United States Veterans Health Administration (VHA) hospitals with BCID., Patients: Hospitalized VHA patients with ≥1 blood culture positive for bacteria featured on the BCID panel., Intervention: Comparison of outcomes between the pre- and post-BCID implementation groups., Measurements: Outcomes evaluated included early antimicrobial de-escalation within 48 h, defined as reduction in antimicrobial spectrum scores, time to appropriate therapy, and 30-day mortality., Main Results: A total of 4138 patients (pre-BCID, n = 2100; post-BCID, n = 2038) met the study criteria. Implementation of BCID was associated with significant improvements in early antimicrobial de-escalation (34.6%: pre-BCID vs. 38.1%: post-BCID; p = 0.022), which persisted after adjusting for other covariates (adjusted risk ratio [aRR], 1.11; 95% confidence interval [CI], 1.02-1.20; p = 0.011). Median time to appropriate therapy was shorter in the post-BCID implementation group relative to the pre-BCID group (9 h: pre-BCID vs. 8 h: post-BCID, respectively, p = 0.005), and a greater percentage of patients received early appropriate antimicrobial therapy within 48 h in the post-BCID implementation group (91.7%: pre-BCID vs. 93.8%: post-BCID; p = 0.008). In the multivariable regression analysis, BCID implementation was significantly associated with a higher likelihood of appropriate therapy within 48 h (aRR, 1.02; 95% CI, 1.01-1.08; p = 0.020). There was no difference in 30-day mortality between groups overall (12.6% pre-BCID vs. 11.2% post-BCID; p = 0.211)., Conclusions: In a "real-world" clinical setting, the implementation of BCID was associated with clinical improvements in antimicrobial utilization. The BCID platform may serve as a useful adjunct for BSI management in facilities with ASP., (© 2022 Pharmacotherapy Publications, Inc.)

Bacteremia is associated with significant morbidity and mortality. Timely, appropriate therapy may improve clinical outcomes, and therefore, determining which patients benefit from more comprehensive diagnostic strategies (i.e., direct specimen testing) could be of value. We performed an assessment of procalcitonin (PCT) and clinical characteristics in the discrimination of bacteremic hospitalizations. We analyzed 71,105 encounters and 14,846 visits of patients with bacteremia alongside 56,259 without an admission. The area under the receiver—operating characteristic (AUROC) curve for the prediction of bacteremia via procalcitonin was 0.782 (95% CI 0.779–0.787). The prediction modeling of clinical factors with or without PCT resulted in a similar performance to PCT alone. However, the clinically predicted risk of bacteremia stratified by PCT thresholds allowed the targeting of high-incidence bacteremia groups (e.g., ≥50% positivity). The combined use of PCT and clinical characteristics could be useful in diagnostic stewardship by targeting further advanced diagnostic testing in patients with a high predicted probability of bacteremia. [ABSTRACT FROM AUTHOR]

Enterobacteriaceae bacteremia, particularly when associated with antimicrobial resistance, can result in increased mortality, emphasizing the need for timely effective therapy. Clinical risk prediction models are promising tools, stratifying patients based on their risk of resistance due to ESBL and carbapenemase-producing Enterobacteriaceae in bloodstream infections (BSIs) and, thereby, improving therapeutic decisions. This systematic review and meta-analysis synthesized the literature on the performance of these models. Searches of PubMed and EMBASE led to the identification of 10 relevant studies with 6106 unique patient encounters. Nine studies concerned ESBL prediction, and one focused on the prediction of carbapenemases. For the two ESBL model derivation studies, the discrimination performance showed sensitivities of 53–85% and specificities of 93–95%. Among the four ESBL model derivation and validation studies, the sensitivities were 43–88%, and the specificities were 77–99%. The sensitivity and specificity for the subsequent external validation studies were 7–37% and 88–96%, respectively. For the three external validation studies, only two models were evaluated across multiple studies, with a pooled AUROC of 65–71%, with one study omitting the sensitivity/specificity. Only two studies measured clinical utility through hypothetical therapy assessments. Given the limited evidence on their interventional application, it would be beneficial to further assess these or future models, to better understand their clinical utility and ensure their safe and impactful implementation. [ABSTRACT FROM AUTHOR]