Good Performance of Revised Scoring Systems in Predicting Clinical Outcomes of Bacteremia in the Emergency Department: A Retrospective Observational Study

Overview

Journal Diagnostics (Basel)

Specialty Radiology

Date 2024 Jan 22

PMID 38248001

Authors

Cheng-Yang Wen

Sung-Yuan Hu

Ming-Shun Hsieh

Shih-Che Huang

Chia-Hui Shen

Yi-Chun Tsai

Affiliations

Soon will be listed here.

Abstract

Background: species, Gram-negative, non-sporulating, facultative, and anaerobic bacilli, widely distributed in aquatic environments, derive various infections, including bacteremia. Most of these infections were opportunistic and found in patients with predisposing conditions. Among the infections, bacteremia remains with notable mortality, reported from 15% to 45%. However, predicting systems for assessing the mortality risk of this disease have yet to be investigated. We aimed to validate the performance of specific predictive scoring systems to assess the clinical outcomes of bacteremia and applied the revised systems to predict mortality risk.

Methods: A retrospective observational study reviewed patients with bacteremia caused by spp. based on at least one positive blood culture sample collected in the emergency department from January 2012 to December 2020. The outcome was in-hospital mortality. We used seven predictive scoring systems to predict the clinical outcome. According to the effectiveness in predicting mortality, we revised three of the seven predictive scoring systems by specific characteristics to refine their risk-predicting performances.

Results: We enrolled 165 patients with bacteremia caused by spp., including 121 males (73.3%) and 44 females (26.7%), with a mean age of 66.1 ± 14.9 years and an average length of hospital stay of 12.4 ± 10.9 days. The overall mortality rate was 32.7% (54/165). The non-survivors had significantly higher scores in MEDS (6.7 ± 4.2 vs. 12.2 ± 3.3, < 0.001), NEWS (4.0 ± 2.8 vs. 5.3 ± 3.0, = 0.008), and qSOFA (0.3 ± 0.6 vs. 0.6 ± 0.7, = 0.007). Regarding mortality risk prediction, the MEDS demonstrated the best predictive power with AUC of ROC measured up to 0.834, followed by NEWS (0.626) and qSOFA (0.608). We revised the MEDS, NEWS, and qSOFA by hemoglobin and lactate. We found that the revised scores had better powerful performance, including 0.859, 0.767, and 0.691 of the AUC of ROC, if the revised MEDS ≥10, revised NEWS ≥8, and revised qSOFA ≥2, respectively.

Conclusions: MEDS, NEWS, and qSOFA were good tools for predicting outcomes in patients with spp. bacteremia. The revised MEDS, NEWS, and qSOFA demonstrated more powerful predicting performance than the original scoring systems. We suggested that patients with higher scores in revised MEDS (≥10), revised NEWS (≥8), and revised qSOFA (≥2) received early goal-directed therapy and appropriate broad-spectrum antibiotic treatment as early as possible to reduce mortality.

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