Distinct age-adjusted D-dimer threshold to rule out acute pulmonary embolism in outpatients and inpatients

IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Clinical Respiratory Journal Pub Date : 2024-02-11 DOI:10.1111/crj.13728
Peng Liu, Haixu Yu, Wei Liu, Lin Lin, Ying Qun Ji
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Abstract

Introduction

The diagnosis of acute pulmonary embolism (PE) is combinations of clinical probability assessments, plasma D-dimer (DD) test results, and/or computed tomographic pulmonary angiography (CTPA).

Objective

The aim of this study is to explore the appropriate DD cutoff using the immunoturbidimetric method in outpatients and inpatients.

Methods

We retrospectively enrolled 2689 patients with suspected PE between January 2014 and December 2019. All patients underwent clinical probability assessments, DD tests, and CTPA. We investigated the appropriate cutoff level for plasma DD tests in the correlation analysis and receiver operating characteristic (ROC) curves.

Results

Among all patients, 1263 were confirmed acute PE. The age-adjusted DD level was determined to be age × 10 μg/L (for patients aged >50 years) in outpatients. This cutoff value resulted in a sensitivity of 96.75% and a specificity of 87.02%, with the area under the curve (AUC) of 0.908 and the number needed to treat (NNT) of 1.18. For inpatients, the age-adjusted cutoff values for the biomarker DD demonstrated poor specificity (13.34%) and NNT (9.88). However, when the DD cutoff was adjusted to 2 × the upper limit of normal (ULN), the sensitivity increased to 93.19%, while the specificity remained at 29.55%, with the AUC of 0.610 and the NNT of 4.76. The optimal DD cut-off value was 3010 μg/L (about 5 × ULN), resulting in a sensitivity of 75.22% and specificity of 61.72%, with the AUC of 0.727 and the NNT of 2.7.

Conclusion

Using the immunoturbidimetric method to measure DD, an age-adjusted DD cutoff (age × 10 μg/L, if aged >50 years) should be considered for outpatients with suspected PE. For inpatients, increasing the DD cutoff value to at least 2 × ULN yields the best test performance.

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用于排除门诊和住院患者急性肺栓塞的不同年龄调整D-二聚体阈值
引言 急性肺栓塞(PE)的诊断需要结合临床可能性评估、血浆 D-二聚体(DD)检测结果和/或计算机断层扫描肺血管造影(CTPA)。 目的 本研究旨在探讨门诊和住院患者使用免疫比浊法检测 DD 的合适临界值。 方法 我们回顾性纳入了 2014 年 1 月至 2019 年 12 月间的 2689 例疑似 PE 患者。所有患者均接受了临床概率评估、DD 检测和 CTPA。我们通过相关性分析和接收器操作特征曲线(ROC)研究了血浆 DD 检测的合适临界值。 结果 在所有患者中,1263 人确诊为急性 PE。在门诊患者中,年龄调整后的 DD 水平被确定为年龄 × 10 μg/L(50 岁患者)。该临界值的灵敏度为 96.75%,特异度为 87.02%,曲线下面积(AUC)为 0.908,治疗所需次数(NNT)为 1.18。对于住院患者,生物标记物 DD 的年龄调整临界值显示出较低的特异性(13.34%)和 NNT(9.88)。然而,当 DD 临界值调整为正常值上限(ULN)的 2 倍时,灵敏度增加到 93.19%,特异性仍为 29.55%,AUC 为 0.610,NNT 为 4.76。最佳 DD 临界值为 3010 μg/L(约 5 × ULN),灵敏度为 75.22%,特异度为 61.72%,AUC 为 0.727,NNT 为 2.7。 结论 使用免疫比浊法测量 DD,门诊疑似 PE 患者应考虑年龄调整后的 DD 临界值(年龄×10 μg/L,如果年龄为 50 岁)。对于住院患者,将 DD 临界值提高到至少 2 × ULN 可获得最佳检测效果。
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来源期刊
Clinical Respiratory Journal
Clinical Respiratory Journal 医学-呼吸系统
CiteScore
3.70
自引率
0.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: Overview Effective with the 2016 volume, this journal will be published in an online-only format. Aims and Scope The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic. We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including: Asthma Allergy COPD Non-invasive ventilation Sleep related breathing disorders Interstitial lung diseases Lung cancer Clinical genetics Rhinitis Airway and lung infection Epidemiology Pediatrics CRJ provides a fast-track service for selected Phase II and Phase III trial studies. Keywords Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease, Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Embase (Elsevier) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) ProQuest Central (ProQuest) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier)
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