期刊
CLINICAL INFECTIOUS DISEASES
卷 63, 期 11, 页码 1463-1469出版社
OXFORD UNIV PRESS INC
DOI: 10.1093/cid/ciw610
关键词
invasive candidiasis; risk prediction; critical care; prophylaxis; candidemia
资金
- National Health and Medical Research Council of Australia [512307]
- National Health and Medical Research Council of Australia (Centre for Research Excellence) [264625]
- Australian Universities Postgraduate award
- Pfizer Pharmaceuticals
Background. Delayed antifungal therapy for invasive candidiasis (IC) contributes to poor outcomes. Predictive risk models may allow targeted antifungal prophylaxis to those at greatest risk. Methods. A prospective cohort study of 6685 consecutive nonneutropenic patients admitted to 7 Australian intensive care units (ICUs) for >= 72 hours was performed. Clinical risk factors for IC occurring prior to and following ICU admission, colonization with Candida species on surveillance cultures from 3 sites assessed twice weekly, and the occurrence of IC >= 72 hours following ICU admission or <= 72 hours following ICU discharge were measured. From these parameters, a risk-predictive model for the development of ICU-acquired IC was then derived. Results. Ninety-six patients (1.43%) developed ICU-acquired IC. A simple summation risk-predictive model using the 10 independently significant variables associated with IC demonstrated overall moderate accuracy (area under the receiver operating characteristic curve = 0.82). No single threshold score could categorize patients into clinically useful high-and low-risk groups. However, using 2 threshold scores, 3 patient cohorts could be identified: those at high risk (score >= 6, 4.8% of total cohort, positive predictive value [PPV] 11.7%), those at low risk (score <= 2, 43.1% of total cohort, PPV 0.24%), and those at intermediate risk (score 3-5, 52.1% of total cohort, PPV 1.46%). Conclusions. Dichotomization of ICU patients into high-and low-risk groups for IC risk is problematic. Categorizing patients into high-, intermediate-, and low-risk groups may more efficiently target early antifungal strategies and utilization of newer diagnostic tests.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据