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一种算法方法优于高敏肌钙蛋白第 99 百分位上限作为急诊科安全出院的阈值。

An Algorithmic Approach Is Superior to the 99th Percentile Upper Reference Limits of High Sensitivity Troponin as a Threshold for Safe Discharge from the Emergency Department.

机构信息

Emergency Medicine, Sanggye Paik Hospital, Inje University College of Medicine, Seoul 01757, Korea.

Internal Medicine, Sanggye Paik Hospital, Inje University College of Medicine, Seoul 01757, Korea.

出版信息

Medicina (Kaunas). 2021 Oct 12;57(10):1083. doi: 10.3390/medicina57101083.

DOI:10.3390/medicina57101083
PMID:34684124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8540893/
Abstract

: High-sensitivity cardiac troponin I (hs-TnI) is an important indicator of acute myocardial infarction (AMI) among patients presenting with chest discomfort at the emergency department (ED). We aimed to determine a reliable hs-TnI cut-off by comparing various values for a baseline single measurement and an algorithmic approach. : We retrospectively reviewed the hs-TnI values of patients who presented to our ED with chest discomfort between June 2019 and June 2020. We evaluated the diagnostic accuracy of AMI with the Beckman Coulter Access hs-TnI assay by comparing the 99th percentile upper reference limits (URLs) based on the manufacturer's claims, the newly designated URLs in the Korean population, and an algorithmic approach. : A total of 1296 patients who underwent hs-TnI testing in the ED were reviewed and 155 (12.0%) were diagnosed with AMI. With a single measurement, a baseline hs-TnI cut-off of 18.4 ng/L showed the best performance for the whole population with a sensitivity of 78.7%, specificity of 95.7%, negative predictive value (NPV) of 97.1%, and positive predictive value (PPV) of 71.3%. An algorithm using baseline and 2-3 h hs-TnI values showed an 100% sensitivity, 97.7% specificity, an NPV of 100%, and a PPV of 90.1%. This algorithm used a cut-off of <4 ng/L for a single measurement 3 h after symptom onset or an initial level of <5 ng/L and a change of <5 ng/L to rule a patient out, and a cut-off of ≥50 ng/L for a single measurement or a change of ≥20 ng/L to rule a patient in. : The algorithmic approach using serial measurements could help differentiate AMI patients from patients who could be safely discharged from the ED, ensuring that patients were triaged accurately and did not undergo unnecessary testing. The cut-off values from previous studies in different countries were effective in the Korean population.

摘要

高敏肌钙蛋白 I(hs-TnI)是急诊科(ED)出现胸痛的患者发生急性心肌梗死(AMI)的重要指标。我们旨在通过比较基线单次测量和算法方法的各种值来确定可靠的 hs-TnI 截止值。

我们回顾性分析了 2019 年 6 月至 2020 年 6 月期间因胸痛就诊于我院 ED 的患者的 hs-TnI 值。我们通过比较基于制造商声称的 99 百分位上限(URL)、韩国人群中指定的新 URL 和算法方法,评估 Beckman Coulter Access hs-TnI 检测试剂盒对 AMI 的诊断准确性。

共回顾了 1296 例在 ED 接受 hs-TnI 检测的患者,其中 155 例(12.0%)被诊断为 AMI。在整个人群中,hs-TnI 基线单次测量的截止值为 18.4 ng/L 时具有最佳性能,其敏感性为 78.7%,特异性为 95.7%,阴性预测值(NPV)为 97.1%,阳性预测值(PPV)为 71.3%。使用基线和 2-3 h hs-TnI 值的算法显示出 100%的敏感性、97.7%的特异性、100%的 NPV 和 90.1%的 PPV。该算法使用症状发作后 3 h 单次测量值<4 ng/L 或初始值<5 ng/L 且变化值<5 ng/L 排除患者,以及单次测量值≥50 ng/L 或变化值≥20 ng/L 确定患者入院的截断值。

使用连续测量的算法方法可以帮助区分 AMI 患者和可以从 ED 安全出院的患者,确保患者得到准确分诊,避免进行不必要的检查。来自不同国家的先前研究中的截止值在韩国人群中是有效的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cc0/8540893/fce86bc059ef/medicina-57-01083-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cc0/8540893/7b52a0f7a176/medicina-57-01083-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cc0/8540893/adb6fe2fb0ef/medicina-57-01083-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cc0/8540893/a4366790617e/medicina-57-01083-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cc0/8540893/83e2a6295af0/medicina-57-01083-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cc0/8540893/fce86bc059ef/medicina-57-01083-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cc0/8540893/7b52a0f7a176/medicina-57-01083-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cc0/8540893/adb6fe2fb0ef/medicina-57-01083-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cc0/8540893/a4366790617e/medicina-57-01083-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cc0/8540893/83e2a6295af0/medicina-57-01083-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cc0/8540893/fce86bc059ef/medicina-57-01083-g005.jpg

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