4.5 Article

Modified Pitt bacteremia score for predicting mortality in patients with candidaemia: A multicentre seven-year retrospective study conducted in Japan

期刊

MYCOSES
卷 64, 期 12, 页码 1498-1507

出版社

WILEY
DOI: 10.1111/myc.13380

关键词

bloodstream infection; Candida; candidaemia; candidiasis; mortality; Pitt bacteremia score; prognosis; risk factors

资金

  1. Japan Agency for Medical Research and Development [JP21fk0108094]

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A study involving 422 candidaemia patients found that high PBS score, dialysis, and retention of central venous catheter were independent risk factors for all-cause 30-day mortality. A modified version of the PBS, mPBS, was developed by replacing fever with dialysis, showing improved predictive ability for mortality.
Background Several severity indexes have been reported for critically ill patients. The Pitt bacteremia score (PBS) is commonly used to predict the risk of mortality in patients with bacteraemia. Objectives To develop a scoring system for predicting mortality in candidaemia patients. Methods Medical records at five Japanese tertiary hospitals were reviewed. Factors associated with mortality were analysed using logistic regression modelling. The discriminatory power of scoring models was evaluated by assessing the area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Results In total, 422 candidaemia patients were included. Higher PBS, dialysis and retainment of central venous catheter were independent risk factors for all-cause 30-day mortality. However, among the five PBS components, fever was not associated with mortality; therefore, we developed a modified version of the PBS (mPBS) by replacing fever with dialysis. AUC for PBS and mPBS were 0.74 (95% confidence interval [CI]: 0.68-0.80) and 0.76 (95% CI: 0.71-0.82), respectively. The increase in predictive ability of mPBS for 30-day mortality was statistically significant as assessed by NRI (0.24, 95% CI: 0.01-0.46, p = .04) and IRI (0.04, 95% CI: 0.02-0.06, p = .0008). When patients were stratified by mPBS into low (scores 0-3), moderate (4-7) and high risk (>= 8), there were significant differences among the survival curves (p < .0001, log-rank test), and 30-day mortality rates were 13.8% (40/290), 36.8% (28/76) and 69.4% (34/49), respectively. Conclusions mPBS can be a useful tool for predicting mortality in candidaemia patients.

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