Beyond PVR: dynamic physiologic assessment enhances prognostic evaluation in pulmonary hypertension associated with chronic obstructive pulmonary disease.

IF 4 3区 医学 Q1 RESPIRATORY SYSTEM
Elizabeth S Tarras, Xiting Yan, Christopher Gange, Sebastian Kurz, Phillip Joseph, Inderjit Singh
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引用次数: 0

Abstract

Objectives: Pulmonary hypertension associated with chronic obstructive pulmonary disease (PH-COPD) is associated with poor outcomes, yet resting haemodynamics incompletely capture disease severity. We evaluated whether integrating submaximal cardiopulmonary exercise testing variables with transthoracic echocardiographic and pulmonary function test parameters improves prognostic assessment in PH-COPD beyond resting haemodynamics alone.

Setting: Single-tertiary pulmonary vascular disease referral centre in the USA.

Participants: 67 patients with PH-COPD who underwent right heart catheterisation and complementary non-invasive testing between 2019 and 2024.

Primary outcome measures: The primary outcome was a composite of heart failure hospitalisation or all-cause mortality.

Methods: Associations between physiologic variables and outcomes were assessed using Cox proportional hazards models and survival tree analysis.

Results: The composite outcome occurred in 47.1% of patients over a median follow-up of 518 (229-897) days. Several non-invasive dynamic physiologic variables were associated with adverse outcomes, including lower gas exchange-derived pulmonary vascular capacitance (GxCAP) (HR 0.997, 95% CI 0.995 to 0.999; p=0.013), lower oxygen uptake efficiency slope (HR 0.983, 95% CI 0.968 to 0.998; p=0.030), lower submaximal VO2 (HR 0.978, 95% CI 0.959 to 0.997; p=0.022) and lower ETCO2 (HR 0.886, 95% CI 0.820 to 0.957; p=0.002). Higher estimated right ventricular systolic pressure (eRVSP) on echocardiogram (HR 1.015, 95% CI 1.001 to 1.029; p=0.032) and pulmonary vascular resistance (PVR) on right heart catheterisation (HR 1.087, 95% CI 1.005 to 1.176; p=0.038) were also associated with adverse outcomes, although no optimal prognostic PVR threshold was identified. In the survival tree model, GxCAP<243 mL/mm Hg provided the initial and most influential split. Patients with both GxCAP<243 mL/mm Hg and eRVSP>45 mm Hg represented the highest-risk subgroup (relative HR 4.4). Including PVR did not improve prognostic performance of the analysis.

Conclusions: Dynamic exercise-derived physiologic markers provide prognostic information complementary to resting haemodynamic assessment in PH-COPD and may improve risk stratification across this heterogeneous population.

超越PVR:动态生理评估增强慢性阻塞性肺疾病相关肺动脉高压的预后评估
目的:肺动脉高压与慢性阻塞性肺疾病(PH-COPD)相关,但静息血流动力学不能完全反映疾病的严重程度。我们评估了除静息血流动力学外,将次最大心肺运动测试变量与经胸超声心动图和肺功能测试参数结合是否能改善PH-COPD的预后评估。环境:美国单三级肺血管疾病转诊中心。参与者:67名在2019年至2024年间接受右心导管和补充非侵入性检测的PH-COPD患者。主要结局指标:主要结局指标为心力衰竭住院或全因死亡率。方法:使用Cox比例风险模型和生存树分析评估生理变量与结果之间的关系。结果:在中位518(229-897)天的随访中,47.1%的患者出现了复合结局。一些非侵入性动态生理变量与不良结果相关,包括较低的气体交换衍生肺血管电容(GxCAP) (HR 0.997, 95% CI 0.995至0.999;p=0.013),较低的吸氧效率斜率(HR 0.983, 95% CI 0.968至0.998;p=0.030),较低的次最大VO2 (HR 0.978, 95% CI 0.959至0.997;p=0.022)和较低的ETCO2 (HR 0.886, 95% CI 0.820至0.957;p=0.002)。超声心动图上较高的估计右心室收缩压(eRVSP) (HR 1.015, 95% CI 1.001至1.029;p=0.032)和右心导管插管时肺血管阻力(HR 1.087, 95% CI 1.005至1.176;p=0.038)也与不良结局相关,尽管没有确定最佳预后PVR阈值。在生存树模型中,GxCAPCAP45 mm Hg代表最高风险亚组(相对危险度4.4)。纳入PVR并没有改善分析的预后表现。结论:动态运动衍生的生理指标为PH-COPD患者的静息血流动力学评估提供了预后信息,并可能改善这一异质性人群的风险分层。
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来源期刊
BMJ Open Respiratory Research
BMJ Open Respiratory Research RESPIRATORY SYSTEM-
CiteScore
6.60
自引率
2.40%
发文量
95
审稿时长
12 weeks
期刊介绍: BMJ Open Respiratory Research is a peer-reviewed, open access journal publishing respiratory and critical care medicine. It is the sister journal to Thorax and co-owned by the British Thoracic Society and BMJ. The journal focuses on robustness of methodology and scientific rigour with less emphasis on novelty or perceived impact. BMJ Open Respiratory Research operates a rapid review process, with continuous publication online, ensuring timely, up-to-date research is available worldwide. The journal publishes review articles and all research study types: Basic science including laboratory based experiments and animal models, Pilot studies or proof of concept, Observational studies, Study protocols, Registries, Clinical trials from phase I to multicentre randomised clinical trials, Systematic reviews and meta-analyses.
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