Key result
Pulmonary transit time derived from cardiac magnetic resonance was an independent predictor of overall mortality in patients with HFrEF (HR 1.35; 95% CI 1.16-1.58; P<0.001).
Why the study?
The study sought to evaluate the additional prognostic value of pulmonary transit time by cMR in heart failure with reduced ejection fraction over established risk predictors.
Does pulmonary transit time (PTT) assessed by cardiac magnetic resonance predict mortality and heart failure hospitalization in patients with HFrEF?
Cohort (n=410)
Does pulmonary transit time (PTT) assessed by cardiac magnetic resonance predict mortality and heart failure hospitalization in patients with HFrEF?
Hazard Ratio: 1.35 (95% CI 1.16–1.58)
p-value: p=<0.001
Pulmonary transit time measured by cMR first-pass perfusion imaging is a strong, independent predictor of mortality and heart failure hospitalization in patients with HFrEF, providing incremental prognostic value over standard parameters like LVEF and global longitudinal strain.
PTT may enhance risk stratification in HFrEF beyond MAGGIC score; leaves open whether it should guide therapy.
Background: Pulmonary transit time (PTT) from first-pass perfusion imaging is a novel parameter to evaluate hemodynamic congestion by cardiac magnetic resonance (cMR). We sought to evaluate the additional prognostic value of PTT in heart failure with reduced ejection fraction over other well-validated predictors of risk including the Meta-Analysis Global Group in Chronic Heart Failure risk score and ischemic cause. Methods: We prospectively followed 410 patients with chronic heart failure with reduced ejection fraction (61±13 years, left ventricular (LV) ejection fraction 24±7%) who underwent a clinical cMR to assess the prognostic value of PTT for a primary endpoint of overall mortality and secondary composite endpoint of cardiovascular death and heart failure hospitalization. Normal reference values of PTT were evaluated in a population of 40 asymptomatic volunteers free of cardiovascular disease. Results PTT was significantly increased in patients with heart failure with reduced ejection fraction as compared to controls (9±6 beats and 7±2 beats, respectively, P <0.001), and correlated not only with New York Heart Association class, cMR–LV and cMR–right ventricular (RV) volumes, cMR-RV and cMR-LV ejection fraction, and feature tracking global longitudinal strain, but also with cardiac output. Over 6-year median follow-up, 182 patients died and 200 reached the secondary endpoint. By multivariate Cox analysis, PTT was an independent and significant predictor of both endpoints after adjustment for Meta-Analysis Global Group in Chronic Heart Failure risk score and ischemic cause. Importantly in multivariable analysis, PTT in beats had significantly higher additional prognostic value to predict not only overall mortality (χ 2 to improve, 12.3; hazard ratio, 1.35 [95% CI, 1.16–1.58]; P <0.001) but also the secondary composite endpoints (χ 2 to improve=20.1; hazard ratio, 1.23 [95% CI, 1.21–1.60]; P <0.001) than cMR-LV ejection fraction, cMR-RV ejection fraction, LV–feature tracking global longitudinal strain, or RV–feature tracking global longitudinal strain. Importantly, PTT was independent and complementary to both pulmonary artery pressure and reduced RV ejection fraction<42% to predict overall mortality and secondary combined endpoints. Conclusions: Despite limitations in temporal resolution, PTT derived from first-pass perfusion imaging provides higher and independent prognostic information in heart failure with reduced ejection fraction than clinical and other cMR parameters, including LV and RV ejection fraction or feature tracking global longitudinal strain. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03969394.
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Houard et al. (2021) conducted a cohort in Chronic heart failure with reduced ejection fraction (n=410). Pulmonary transit time (PTT) was evaluated on Overall mortality (HR 1.35, 95% CI 1.16-1.58, p=<0.001). Pulmonary transit time derived from cardiac magnetic resonance was an independent predictor of overall mortality in patients with HFrEF (HR 1.35; 95% CI 1.16-1.58; P<0.001).
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