Chamberlain Diane J, Willis Eileen, Clark Robyn, Brideson Genevieve
Faculty of Medicine, Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia.
Emerg Med J. 2015 Sep;32(9):690-7. doi: 10.1136/emermed-2014-203937. Epub 2014 Dec 11.
This study aims to investigate the accuracy and validity of the Australasian Triage Scale (ATS) as a tool to identify and manage in a timely manner the deteriorating patient with severe sepsis.
This was a prospective observational study conducted in five sites of adult patients. Keywords and physiological vital signs data from triage documentation were analysed for the 'identified' status compared with confirmed diagnosis of severe sepsis after admission to the intensive care unit. The primary outcome is the accuracy and validity of the ATS Triage scale categories to identify a prespecified severe sepsis population at triage. Secondary outcome measures included time compliance, antimicrobial administration and mortality prediction. Statistical analysis included parameters of diagnostic performance. Adjusted multivariate logistic regression analysis was applied to mortality prediction.
Of 1022 patients meeting the criteria for severe sepsis, 995 were triaged through the emergency department, 164 with shock. Only 53% (n=534) were identified at triage. The overall sensitivity of the ATS to identify severe sepsis was 71%. ATS 3 was the most accurate (likelihood ratio positive, 2.45, positive predictive value 0.73) and ATS 2 the most valid (area under the curve 0.567) category. Identified cases were more likely to survive (OR 0.81, 95% CI 0.697 to 0.94, p<0.007). The strongest bias-adjusted predictors of mortality were circulatory compromise variable (1.78, 95% CI 1.34 to 1.41, p<0.001), lactate >4 (OR 1.63, 95% CI 1.10 to 2.89, p<0.001) and ATS 1 category (OR 1.55, 95% CI 1.09 to 2.35, p<0.005).
The ATS and its categories is a sensitive and moderately accurate and valid tool for identifying severe sepsis in a predetermined group, but lacks clinical efficacy and safety without further education or quality improvement strategies targeted to the identification of severe sepsis.
本研究旨在调查澳大利亚分诊量表(ATS)作为一种及时识别和管理严重脓毒症病情恶化患者的工具的准确性和有效性。
这是一项在五个地点对成年患者进行的前瞻性观察性研究。将分诊记录中的关键词和生理生命体征数据与重症监护病房入院后确诊的严重脓毒症进行“已识别”状态分析。主要结果是ATS分诊量表类别在分诊时识别预先指定的严重脓毒症人群的准确性和有效性。次要结果指标包括时间依从性、抗菌药物使用和死亡率预测。统计分析包括诊断性能参数。对死亡率预测应用调整后的多变量逻辑回归分析。
在1022例符合严重脓毒症标准的患者中,995例通过急诊科分诊,其中164例伴有休克。分诊时仅识别出53%(n = 534)。ATS识别严重脓毒症的总体敏感性为71%。ATS 3是最准确的类别(阳性似然比,2.45,阳性预测值0.73),ATS 2是最有效的类别(曲线下面积0.567)。已识别的病例更有可能存活(OR 0.81,95% CI 0.697至0.94,p < 0.007)。最强的经偏差调整的死亡率预测因素是循环功能不全变量(1.78,95% CI 1.34至1.41,p < 0.001)、乳酸>4(OR 1.63,95% CI 1.10至2.89,p < 0.001)和ATS 1类别(OR 1.55,95% CI 1.09至2.35,p < 0.005)。
ATS及其类别是一种用于在预定组中识别严重脓毒症的敏感且具有一定准确性和有效性的工具,但在没有针对严重脓毒症识别的进一步教育或质量改进策略的情况下,缺乏临床疗效和安全性。