预防和控制万古霉素耐药肠球菌的措施:它们真的重要吗?

H. Humphreys
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引用次数: 2

摘要

礼物。58例患者中有6例(10.3%)尿培养物污染(存在≥3种微生物)被误诊为感染,58例患者中有5例(8.6%)未获得尿培养物。最后,58例中有15例(25.9%)存在菌尿(1或2个有机体),但菌落计数未达到NHSN≥100,000 CFU/mL的阈值。研究期间包括233,921个患者日。使用ICD-10-CM指标,CAUTI发生率为每1000患者日0.24例;排除POA病例后,该比率为0.18。使用NHSN指标,CAUTI率为0.20 / 1000患者日。NHSN CAUTI度量和ICD-10-CM CAUTI样代码产生广泛差异的结果。即使去除POA的ICD-10病例以更好地符合NHSN标准,ICD-10指标的敏感性仅为2.4%。重要的是,与中心静脉导管相关血流感染不同,AHRQ中没有针对CAUTI的患者安全指标。这是我们使用行政代码(ICD-10-CM)与NHSN监测数据进行比较以检测CAUTI的主要原因。我们的研究结果表明,用更多的代码更新icd -9- cm以产生ICD-10-CM并不能提高管理数据识别CAUTIs的能力。事件发生的日期是用于满足国家卫生保健网络特定地点感染标准(包括CAUTI)的重要因素,这也是行政数据无法准确识别HAI病例的原因之一。这项研究有几个局限性。首先,它是在一个医疗中心进行的。此外,我们没有通过这两种方法审查阴性病例,我们假设传统监测(NHSN)是金标准监测方法。因此,不可能计算特异性,因为我们的目的是只比较NHSN和ICD-10-CM CAUTI确定的病例。鉴于CAUTI是一种相对罕见的事件,我们可以假设ICD-10-CM指标的特异性很高。总之,我们发现ICD-10-CM对CAUTI病例的检测灵敏度极低;我们机构98.3%的感染未被检测出来。几乎所有通过ICD-10-CM确定的病例都不符合NHSN标准。因此,这种HAI的管理编码并不是用作监测方法的有用工具。
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Measures to Prevent and Control Vancomycin-Resistant Enterococci: Do They Really Matter?
present. Contaminated urine cultures (≥3 organisms present) were misclassified as infections in 6 of 58 cases (10.3%), and in 5 of 58 cases (8.6%), no urine culture was obtained. Lastly, in 15 of 58 cases (25.9%), bacteriuria was present (1 or 2 organisms), but the colony count did not reach the NHSN metric threshold of ≥ 100,000 CFU/mL. The study period comprised 233,921 patient days. The CAUTI rate was 0.24 CAUTIs per 1,000 patient days using the ICD-10-CM metric; this rate was 0.18 when POA cases were eliminated. The CAUTI rate was 0.20 per 1,000 patient days using the NHSN metric. The NHSN CAUTI metric and the ICD-10-CM CAUTI-like code produce widely discrepant results. Even when ICD-10 cases that were POA were removed to better align with the NHSN criteria, the sensitivity of the ICD-10 metric was only 2.4%. Importantly, no patient safety indicator from AHRQ is available for CAUTI as there is for central venous catheterrelated bloodstream infection. This was the primary reason that we used the administrative code (ICD-10-CM) to compare to NHSN surveillance data for detecting CAUTI. Our results demonstrate that updating ICD-9-CMwith more codes to produce ICD-10-CM did not improve the ability of administrative data to identify CAUTIs. The date of the event is an important element used to meet an NHSN site-specific infection criterion, including CAUTI, and that is one reason that administrative data fail to accurately identify cases of HAI. This study has several limitations. First, it was performed in a single medical center. In addition, we did not review the negative cases via either method, and we assumed that traditional surveillance (NHSN) is the gold standard surveillance method. Therefore, it was not possible to calculate the specificity because our aim was to compare only NHSN and ICD-10-CM CAUTI identified cases. Given that CAUTI is a relatively rare event, we can assume that the specificity of the ICD-10-CM metric is high. In summary, we found that ICD-10-CM has an extremely low sensitivity for detecting CAUTI cases; it failed to detect 98.3% of the infections at our institution. Almost all cases identified via ICD-10-CM did not fulfill the NHSN criteria. Thus, administrative coding for this HAI is not a useful tool for use as a surveillance method.
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