血浆ADAMTS13能否区分肺动脉高压患者与其他形式的肺动脉高压和呼吸困难控制患者

Kriss Kania MD , Abdulla Ahmed MD , Salaheldin Ahmed MD , Adam Engel Sällberg MD , Karin Tran-Lundmark MD, PhD , Jørn Carlsen MD, PhD , Göran Rådegran MD, DMSc, MSc Eng Phys
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引用次数: 0

摘要

背景:血源性生物标志物的多标记面板可以帮助缩短肺动脉高压(PAH)的诊断延迟。研究问题:研究中包含的61种蛋白,与已知参与PAH病理生理的途径(如凝血、炎症、纤维化)有关,是否可以将PAH与其他形式的肺动脉高压(PH)和/或呼吸困难区分开来,从而有助于PAH的诊断?研究设计和MethodsPlasma样本收集来自55个健康控制参与者和355名病人诊断,包括多环芳烃(n = 95)、慢性血栓栓塞的PH值(n = 54),心力衰竭与PH值保存射血分数(n = 58),心力衰竭与射血分数降低PH值(n = 64),与心力衰竭non-PH呼吸困难组(n = 45),以及一个独立的外部PAH队列(n = 39),用于对发现队列中PAH组的蛋白质水平进行外部验证。采用接近延伸法分析61种蛋白的血浆水平。结果PAH患者血浆adamts13水平与其他3个PH组及非PH呼吸困难组比较差异有统计学意义(P < 0.05)。在单变量(OR, 0.90; 95% CI, 0.84-0.96)和调整年龄和性别的多变量logistic回归模型(OR, 0.89; 95% CI, 0.83-0.96)中,ADAMTS13还能够将PAH与其他合并疾病组区分开来。在外部验证队列中,PAH患者血浆ADAMTS13水平与发现队列具有统计学意义(P < .002)。血浆ADAMTS13可能是PAH的一种诊断性生物标志物,能够将PAH患者与其他呼吸困难组区分开来,并且是一种有趣的蛋白,可以在未来的多标记物研究中纳入。需要在更大的队列中进一步验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can Plasma ADAMTS13 Differentiate Patients With Pulmonary Arterial Hypertension From Other Forms of Pulmonary Hypertension and Dyspnea Control Patients

Background

Multimarker panels of blood-borne biomarkers could aid in shortening the diagnostic delay of pulmonary arterial hypertension (PAH).

Research Question

Can any of the 61 proteins included in the study, related to pathways known to be involved in PAH pathophysiology (eg, coagulation, inflammation, fibrosis), differentiate PAH from other forms of pulmonary hypertension (PH) and/or dyspnea and thus aid in diagnosing PAH?

Study Design and Methods

Plasma samples were collected from 55 healthy control participants and 355 patients at diagnosis, including PAH (n = 95), chronic thromboembolic PH (n = 54), heart failure with preserved ejection fraction with PH (n = 58), heart failure with reduced ejection fraction with PH (n = 64), a non-PH dyspnea control group with heart failure (n = 45), and an independent external PAH cohort (n = 39) used as external validation of protein levels in the PAH group of the discovery cohort. Plasma levels of the 61 proteins were analyzed using proximity extension assay.

Results

ADAMTS13 plasma levels differed in patients with PAH compared with the 3 other PH groups and the non-PH dyspnea group (P < .05). In univariable (OR, 0.90; 95% CI, 0.84-0.96) and multivariable logistic regression models adjusted for age and sex (OR, 0.89; 95% CI, 0.83-0.96), ADAMTS13 was additionally able to differentiate PAH from the other combined disease groups. In the external validation cohort, plasma ADAMTS13 levels in PAH were statistically equivalent to the discovery cohort (P < .002).

Interpretation

Plasma ADAMTS13 may be a diagnostic biomarker in PAH with the ability to differentiate patients with PAH from other dyspnea groups and is an interesting protein for inclusion in future studies of multimarker panels. Further validation in larger cohorts is warranted.
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