The Impact Of Stress Myocardial Blood Flow As A Very Strong Predictor For All-Cause Mortality, Cardiovascular Mortality And Adverse Cardiac And Cerebrovascular Event In Hemodialysis Population

Abstract Background In the clinical setting, ischemic heart disease (IHD) is a major problem not only in general patients but also in regular hemodialysis (HD) patients. 13ammonia positron emission tomography (13NH3PET) is an established and excellent diagnostic device for IHD. Although coronary flow reserve is the most important index in IHD diagnosis, there are limited data about stress myocardial blood flow (MBF). We investigated the prognosis predictability of stress MBF in all-cause mortality, cardiovascular (CV) mortality and adverse cardiac and cerebrovascular event (MACCE). Methods and results A total 438 of HD patients who undergone 13NH3PET for suspected IHD were enrolled. 29 cases were excluded due to revascularization therapy in 60 days. In total we collected 409 eligible cases. All patients were undergone13NH3PET at Nagoya Radiological Diagnosis Foundation. Patients were divided into two group according to the median value of stress MBF levels; low stress MBF group (<2.12) and high stress MBF group (≥2.12). We followed up them up to 4.2 years (median 2.4 years) and collected their data. We evaluated their all-cause mortality, CV mortality and MACCE. Kaplan-Meyer analysis shows that intergroup difference in all-cause mortality (log rank p=0.001, hazard ratio [HR] 0.411, 95% confident interval [CI] 0.261–0.632), CV mortality (log rank p=0.002, HR 0.324, 95% CI 0.157–0.625) and MACCE (log rank p<0.001, HR 0.465, 95% CI 0.324–0.657). Multiple cox analysis that include established risk factors shows CFR is an independent risk factor for all-cause mortality (HR 0.261, 95% CI 0.154–0.442), CV mortality (HR 0.172, 95% CI 0.079–0.374) and MACCE (HR 0.329, 95% CI 0.213–0.503). As a result of the incremental value with C-index, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) when CFR added into a model with established risk factors, each indicator shows adding stress MBF on established risk factors improve the predictability in all-cause mortality, CV mortality and MACCE (all-cause mortality; NRI 0.642, p<0.001, IDI 0.091, p<0.001, CV mortality NRI 0.809, p<0.001, IDI 0.116, p<0.001, MACCE; NRI 0.646, p<0.001, IDI 0.072, p<0.001). Conclusion Considering prognosis of HD population, stress MBF is an important and independent predictor for all-cause mortality, CV mortality and MACCE. As a result of our investigation, stress MBF is one of most strong predictors in HD population.