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A systematic review of central-line–associated bloodstream infection (CLABSI) diagnostic reliability and error

医学 置信区间 梅德林 奇纳 入射(几何) 荟萃分析 队列研究 科克伦图书馆 系统回顾 研究异质性 急诊医学 内科学 心理干预 精神科 法学 物理 光学 政治学
作者
Emily Larsen,Nicole Gavin,Nicole Marsh,Claire M Rickard,Naomi Runnegar,Joan Webster
出处
期刊:Infection Control and Hospital Epidemiology [Cambridge University Press]
卷期号:40 (10): 1100-1106 被引量:13
标识
DOI:10.1017/ice.2019.205
摘要

Abstract Objective: To establish the reliability of the application of National Health and Safety Network (NHSN) central-line–associated bloodstream infection (CLABSI) criteria within established reporting systems internationally. Design: Diagnostic-test accuracy systematic review. Methods: We conducted a search of Medline, SCOPUS, the Cochrane Library, CINAHL (EbscoHost), and PubMed (NCBI). Cohort studies were eligible for inclusion if they compared publicly reported CLABSI rates and were conducted by independent and expertly trained reviewers using NHSN/Centers for Disease Control (or equivalent) criteria. Two independent reviewers screened, extracted data, and assessed risk of bias using the QUADAS 2 tool. Sensitivity, specificity, negative and positive predictive values were analyzed. Results: A systematic search identified 1,259 publications; 9 studies were eligible for inclusion (n = 7,160 central lines). Publicly reported CLABSI rates were more likely to be underestimated (7 studies) than overestimated (2 studies). Specificity ranged from 0.70 (95% confidence interval [CI], 0.58–0.81) to 0.99 (95% CI, 0.99–1.00) and sensitivity ranged from 0.42 (95% CI, 0.15–0.72) to 0.88 (95% CI, 0.77–0.95). Four studies, which included a consecutive series of patients (whole cohort), reported CLABSI incidence between 9.8% and 20.9%, and absolute CLABSI rates were underestimated by 3.3%–4.4%. The risk of bias was low to moderate in most included studies. Conclusions: Our findings suggest consistent underestimation of true CLABSI incidence within publicly reported rates, weakening the validity and reliability of surveillance measures. Auditing, education, and adequate resource allocation is necessary to ensure that surveillance data are accurate and suitable for benchmarking and quality improvement measures over time. Registration: Prospectively registered with International prospective register of systematic reviews (PROSPERO ID CRD42015021989; June 7, 2015). https://www.crd.york.ac.uk/PROSPERO/display_record.php?ID%3dCRD42015021989
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