首页> 外文期刊>The American journal of emergency medicine >Assessment of the pulmonary embolism rule-out criteria rule for evaluation of suspected pulmonary embolism in the emergency department.
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Assessment of the pulmonary embolism rule-out criteria rule for evaluation of suspected pulmonary embolism in the emergency department.

机译:急诊科评估肺栓塞排除标准规则,以评估可疑的肺栓塞。

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摘要

BACKGROUND: Overuse of resources when evaluating pulmonary embolism (PE) is a concern if the D-dimer assay is improperly used in the evaluation of emergency department patients with suspected PE. The pulmonary embolism rule-out criteria (PERC) rule was derived to prevent unnecessary diagnostic testing in this patient population. The objective of this study was to assess the PERC rule's performance in an external population. METHODS: This was a secondary analysis of a prospectively collected database comparing PERC rule variables to diagnosis of PE in consecutive patients with suspicion for PE. Bivariate analysis on individual variables and the overall accuracy of the PERC rule were performed. RESULTS: Patients on 120 randomly assigned shifts were enrolled with a PE prevalence of 12%. The sensitivity, specificity, positive predictive, and negative predictive values of the PERC rule were 100% (95% confidence interval [CI], 79%-100%), 16% (95% CI, 10%-24%), 14% (95% CI, 8%-14%), and 100% (95% CI, 80%-100%), respectively, for the total patient population, and 100% (95% CI, 25%-100%), 33% (95% CI, 12%-35%), 2% (95% CI, 0%-11%), and 100% (95% CI, 75%-100%), respectively, for the low pretest probability population. Bivariate analysis showed unilateral leg swelling, recent surgery, and a history of venous thromboembolic event to be predictive of the diagnosis of PE. CONCLUSIONS: The PERC rule may identify a cohort of patients with suspected PE for whom diagnostic testing beyond history and physical examination is not indicated.
机译:背景:如果在评估可疑PE的急诊科患者中未正确使用D-二聚体测定法,则在评估肺栓塞(PE)时资源过度使用是一个问题。制定了肺栓塞排除标准(PERC)规则以防止对该患者人群进行不必要的诊断测试。这项研究的目的是评估PERC规则在外部人群中的表现。方法:这是前瞻性收集数据库的二次分析,该数据库比较了PERC规则变量与连续怀疑患有PE的患者的PE诊断。对单个变量和PERC规则的整体准确性进行了双变量分析。结果:随机分组的120名患者的PE患病率为12%。 PERC规则的敏感性,特异性,阳性预测值和阴性预测值分别为100%(95%置信区间[CI],79%-100%),16%(95%CI,10%-24%),14对于总患者群体分别为%(95%CI,8%-14%)和100%(95%CI,80%-100%),以及100%(95%CI,25%-100%)低前测分别为33%(95%CI,12%-35%),2%(95%CI,0%-11%)和100%(95%CI,75%-100%)概率人口。双因素分析显示单侧腿肿胀,近期手术和静脉血栓栓塞事件史可预测PE的诊断。结论:PERC规则可以识别出一群疑似PE的患者,这些患者没有经过历史和体格检查的诊断检查。

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