Sonti Rajiv, Gersten Rebecca Anna, Barnett Scott, Brown A Whitney, Nathan Steven D
Division of Pulmonary, Critical Care and Sleep Medicine, Medstar Georgetown University Hospital, Washington, DC.
Lung Transplant and Advanced Lung Disease Program, INOVA Fairfax Hospital, Falls Church, Virginia.
Clin Respir J. 2019 Sep;13(9):567-573. doi: 10.1111/crj.13059. Epub 2019 Jul 30.
Pulmonary hypertension (PH) complicating idiopathic pulmonary fibrosis (IPF) is challenging to diagnose given inaccuracy of transthoracic echocardiogram (TTE) measurements. However, it has significant prognostic implications and is therefore important to accurately identify.
We conducted a cross-sectional study of patients with IPF who underwent RHC as part of their evaluation. A variety of commonly available noninvasive variables were evaluated for their ability to predict pulmonary arterial pressure in a linear regression model, including the traditionally used right ventricular systolic pressure (RVSP) estimated from TTE.
There were 105 eligible patients identified from January 2006 to July 2016. The average age was 62.7 ± 7.7 years, 35 had RHC proven PH and 43% ultimately underwent lung transplantation. A linear model including three terms: RVSP (ANOVA P < .01), the ratio of FVC/DLCO from PFTs (P = .05) and pulmonary artery to aorta diameter ratio from CT (P < .01) was found to predict the mean pulmonary artery pressure more reliably than RVSP alone (R .39 vs .29, P < .05), with a lower rate of incorrect classification of PH status in these individuals (27.6 vs 35.2%, P = .05) and high negative predictive value (87.2%).
If used in conjunction with RVSP from TTE, parameters from PFTs and the CT scan more accurately predict the presence or absence of PH than any of the variables in isolation. Using these in concert may allow greater discrimination in deciding which patients to subject to diagnostic right heart catheterization.
鉴于经胸超声心动图(TTE)测量的不准确性,特发性肺纤维化(IPF)合并肺动脉高压(PH)的诊断具有挑战性。然而,它具有重要的预后意义,因此准确识别至关重要。
我们对接受右心导管检查(RHC)作为评估一部分的IPF患者进行了一项横断面研究。在一个线性回归模型中评估了各种常用的非侵入性变量预测肺动脉压的能力,包括传统上从TTE估计的右心室收缩压(RVSP)。
2006年1月至2016年7月共确定了105例符合条件的患者。平均年龄为62.7±7.7岁,35例经RHC证实患有PH,43%最终接受了肺移植。发现一个包含三个变量的线性模型:RVSP(方差分析P<.01)、肺功能测试(PFTs)中的FVC/DLCO比值(P=.05)和CT中的肺动脉与主动脉直径比值(P<.01),比单独使用RVSP更可靠地预测平均肺动脉压(R分别为.39和.29,P<.05),这些个体中PH状态的错误分类率更低(27.6%对35.2%,P=.05),且具有较高的阴性预测值(87.2%)。
如果与TTE中的RVSP结合使用,PFTs和CT扫描的参数比任何单独的变量更准确地预测PH的存在与否。联合使用这些参数可能在决定哪些患者需要进行诊断性右心导管检查时具有更大的鉴别力。