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新型脑钠肽前体筛选算法在系统性硬化症相关肺动脉高压中的应用:一项病例对照研究。

N-terminal pro-brain natriuretic peptide in a novel screening algorithm for pulmonary arterial hypertension in systemic sclerosis: a case-control study.

机构信息

Department of Rheumatology, St Vincent's Hospital Melbourne, 41 Victoria Parade, Fitzroy, Victoria 3065, Australia.

出版信息

Arthritis Res Ther. 2012 Jun 12;14(3):R143. doi: 10.1186/ar3876.

Abstract

INTRODUCTION

Pulmonary arterial hypertension is a major cause of mortality in systemic sclerosis. N-terminal pro-brain natriuretic peptide (NT-proBNP) has emerged as a candidate biomarker that may enable the early detection of systemic sclerosis-related pulmonary arterial hypertension (SSc-PAH). The objective of our study was to incorporate NT-proBNP into a screening algorithm for SSc-PAH that could potentially replace transthoracic echocardiography (TTE) as a more convenient and less costly "first tier" test.

METHODS

NT-proBNP levels were measured in patients from four clinical groups: a group with right heart catheter (RHC)-diagnosed SSc-PAH before commencement of therapy for PAH; a group at high risk of SSc-PAH based on TTE; a group with interstitial lung disease; and systemic sclerosis (SSc) controls with no cardiopulmonary complications. NT-proBNP levels were compared by using ANOVA and correlated with other clinical variables by using simple and multiple linear regression. ROC curve analyses were performed to determine the optimal cut point for NT-proBNP and other clinical variables in prediction of PAH.

RESULTS

NT-proBNP was highest in the PAH group compared with other groups (P < 0.0001), and higher in the risk group compared with controls (P < 0.0001). NT-proBNP was positively correlated with systolic pulmonary artery pressure (PAP) on TTE (P < 0.0001), and mean PAP (P = 0.013), pulmonary vascular resistance (P = 0.005), and mean right atrial pressure (P = 0.006) on RHC. A composite model wherein patients screened positive if NT-proBNP was ≥ 209.8 pg/ml, and/or DLCOcorr was < 70.3% with FVC/DLCOcorr ≥ 1.82, had a sensitivity of 100% and specificity of 77.8% for SSc-PAH.

CONCLUSION

We have proposed a screening algorithm for SSc-PAH, incorporating NT-proBNP level and PFTs. This model has high sensitivity and specificity for SSc-PAH and, if positive, should lead to TTE and confirmatory testing for PAH. This screening algorithm must be validated prospectively.

摘要

简介

肺动脉高压是系统性硬化症患者死亡的主要原因。N 端脑利钠肽前体(NT-proBNP)已成为一种候选生物标志物,可用于早期发现系统性硬化症相关肺动脉高压(SSc-PAH)。我们的研究目的是将 NT-proBNP 纳入 SSc-PAH 筛查算法中,该算法可能替代经胸超声心动图(TTE)作为更方便、更经济的“一线”检查。

方法

对来自四个临床组的患者进行 NT-proBNP 水平测量:一组为开始肺动脉高压治疗前经右心导管(RHC)诊断的 SSc-PAH 患者;一组为 TTE 检查提示有发生 SSc-PAH 高风险的患者;一组为患有间质性肺病的患者;一组为无心肺并发症的系统性硬化症(SSc)对照组。采用方差分析比较 NT-proBNP 水平,并采用简单和多元线性回归分析比较与其他临床变量的相关性。进行 ROC 曲线分析以确定 NT-proBNP 和其他临床变量在预测肺动脉高压方面的最佳切点。

结果

与其他组相比,PAH 组的 NT-proBNP 水平最高(P < 0.0001),风险组与对照组相比,NT-proBNP 水平更高(P < 0.0001)。NT-proBNP 与 TTE 上的收缩压肺动脉压(PAP)呈正相关(P < 0.0001),与 RHC 上的平均 PAP(P = 0.013)、肺血管阻力(P = 0.005)和平均右心房压(P = 0.006)呈正相关。如果 NT-proBNP 水平≥209.8 pg/ml,且/或 DLCOcorr/FVC<70.3%且 DLCOcorr/FVC≥1.82,则患者为阳性的复合模型对 SSc-PAH 的敏感性为 100%,特异性为 77.8%。

结论

我们提出了一种 SSc-PAH 筛查算法,该算法包含 NT-proBNP 水平和 PFTs。该模型对 SSc-PAH 具有较高的敏感性和特异性,如果阳性,应进行 TTE 检查和肺动脉高压的确认性检查。该筛查算法必须前瞻性验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7edf/3446526/cbd391f4c996/ar3876-1.jpg

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