Assessment of Left Ventricular Filling Pressure by Cardiac Magnetic Resonance Imaging as a Predictor of Adverse Outcomes in Patients with Non-ischemic Cardiomyopathy

医学 内科学 心脏病学 肺楔压 心力衰竭 射血分数 心室充盈 心脏磁共振 比例危险模型 磁共振成像 心肌病 金标准(测试) 心脏磁共振成像 试验预测值 扩张型心肌病 回顾性队列研究 冲程容积 心室压 血压 中心静脉压 血管内容积状态 心肌梗塞 缺血性心肌病 放射科
作者
Theerawat Korkerdsup,Yanjun Wu,Tom Kai Ming Wang,Carl Ammoury,Diane Rizkallah,David Chen,Christopher Nguyen,W H Wilson Tang,Xiaofeng Wang,Deborah Kwon
出处
期刊:European Journal of Echocardiography [Oxford University Press]
标识
DOI:10.1093/ehjci/jeaf353
摘要

Abstract Background Cardiovascular magnetic resonance (CMR) offers comprehensive assessment of cardiomyopathy but lacks validated methods for estimating left ventricular filling pressure (LVFP), an important prognostic marker. Invasive pulmonary capillary wedge pressure (PCWP) measurements remain a gold standard but are impractical for routine use due to procedural risks. A CMR-modelled PCWP model offers a non-invasive alternative, but its ability to improve prognostic assessment beyond conventional markers has not been well established. We evaluated the prognostic utility of CMR PCWP in patients with non-ischemic cardiomyopathy (NICM). Methods NICM patients who underwent CMR between December 2008 and December 2017 were retrospectively included. CMR-modelled PCWP was calculated as: 6.1352 + (0.07204 × left atrial volume [LAV]) + (0.02256 × left ventricular mass [LVM]). The primary outcome was a composite of all-cause mortality, heart transplantation, or hospitalization for heart failure (HHF). Secondary outcomes included HHF and all-cause mortality separately. Multivariable Cox proportional hazards models assessed prognostic value. Results A total of 458 patients (mean age 53.2 years, BMI 29.3 kg/m², LVEF 32.8% ± 11.1%) were followed for a median of 3.6 years. The primary outcome occurred in 39% with PCWP ≥ 15 mmHg versus 21% with PCWP < 15 mmHg (HR 2.11, 95% CI 1.48–3.01; P-valute < 0.001). Conclusion CMR-modelled PCWP provides independent prognostic value providing further risk differentiation among patients traditionally classified as low-risk.
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