Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
Mechanical Dyssynchrony Defined by Phase Analysis from GSPECT: Does It Predict Mortality? Paul L. Hess, MD; Linda K. Shaw, MS; Robert Clare, MS; Mary L. Shepherd, CNMT; Michael MacKenzie, MS; Robert Pagnanelli, BSRT, CNMT, NCT; Mona Fiuzat, PharmD; Jonathan P. Piccini, MD, MHS; Sana M. Al-Khatib, MD, MHS; Christopher M. O’Connor, MD; and Salvador Borges-Neto, MD All Rights Reserved, Duke Medicine 2008 Cardiac Resynchronization Therapy (CRT) • Selection criteria – Reduced ejection fraction (< 35%) – New York Heart Association Class I-IV – QRS duration > 120 ms • One third of recipients do not benefit. All Rights Reserved, Duke Medicine 2008 Phase Analysis by GSPECT MPI Dyssynchrony measures • Standard deviation • Bandwidth Chen J et al. Assessment of Left Ventricular Mechanical Dyssynchrony by Phase Analysis of ECG-gated SPECT Myocardial Perfusion Imaging. J Nucl Cardiol 2008; 15: 127-36. All Rights Reserved, Duke Medicine 2008 Prevalence of Dyssynchrony by GSPECT MPI 71% 56% 52% 39% 31% Samad Z et al. Prevalence and Predictors of Mechanical Dyssynchrony as Defined by Phase Analysis in Patients with Left Ventricular Dysfunction Undergoing Gated SPECT Myocardial Perfusion Imaging. J Nucl Cardiol 2011; 18: 24-30. All Rights Reserved, Duke Medicine 2008 Objective To determine whether mechanical dyssynchrony detected by phase analysis of GSPECT MPI can identify patients with coronary disease at increased risk of all-cause mortality and/or cardiovascular mortality. All Rights Reserved, Duke Medicine 2008 Data Source Duke Databank for Cardiovascular Disease Study Population (n=1,434) Angiographically significant coronary disease GSPECT MPI between July 2003 and August 2009 Stress testing Exercise treadmill testing was preferred All Rights Reserved, Duke Medicine 2008 Dyssynchrony Measurement Emory Toolbox Software (Atlanta, GA) programs were used to assess mechanical dyssynchrony Statistical Analysis Cox proportional hazards modeling • Unadjusted • Adjusted for standard clinical covariates • Adjusted for above and LV function Kaplan-Meier survival analysis All Rights Reserved, Duke Medicine 2008 Baseline Characteristics (n=1,434)* Age, median (IQR) Male sex Race White Black Other Congestive heart failure Diabetes mellitus Hypertension Hyperlipidemia COPD Renal disease 64 (55, 72) 69.6 73.8 22.2 4.0 24.3 36.2 76.1 69.7 6.6 5.4 *Data are presented as % unless otherwise specified. All Rights Reserved, Duke Medicine 2008 Outcomes Associated with Bandwidth* All-cause Mortality P Cardiovascular Mortality P Unadjusted 1.06 (1.05, 1.08) <0.001 1.08 (1.06-1.10) <0.001 Clinical Model† 1.06 (1.04, 1.07) <0.001 1.07 (1.05-1.09) <0.001 Clinical Model + EF‡ 1.02 (1.00-1.04) 0.120 1.02 (1.00-1.05) 0.093 *Per 10° increment †Adjusted for age, sex, race, chronic obstructive pulmonary disease, diabetes mellitus, hypertension, peripheral vascular disease, cerebrovascular disease, prior myocardial infarction, congestive heart failure, renal insufficiency, and tobacco use ‡Adjusted for above and left ventricular ejection fraction All Rights Reserved, Duke Medicine 2008 Outcomes Associated with Phase SD* All-cause Mortality P Cardiovascular Mortality P Unadjusted 1.21 (1.16, 1.27) <0.001 1.30 (1.23-1.38) <0.001 Clinical Model† 1.19 (1.14, 1.25) <0.001 1.23 (1.16-1.31) <0.001 Clinical Model + EF‡ 1.06 (0.99-1.13) 0.101 1.06 (0.98-1.16) 0.158 *Per 10° increment †Adjusted for age, sex, race, chronic obstructive pulmonary disease, diabetes mellitus, hypertension, peripheral vascular disease, cerebrovascular disease, prior myocardial infarction, congestive heart failure, renal insufficiency, and tobacco use ‡Adjusted for above and left ventricular ejection fraction All Rights Reserved, Duke Medicine 2008 Outcomes Associated with Bandwidth By LVEF* Outcome† All-cause mortality Cardiovascular Mortality Left Ventricular Function HR (95% CI) Interaction P EF > 35% 1.06 (1.04-1.07) 0.002 EF < 35% 0.97 (0.93-1.02) EF > 35% 1.07 (1.05-1.09) EF < 35% 0.99 (0.93-1.05) 0.002 *Per 10° increment †Adjusted for age, sex, race, chronic obstructive pulmonary disease, diabetes mellitus, hypertension, peripheral vascular disease, cerebrovascular disease, prior myocardial infarction, congestive heart failure, renal insufficiency, tobacco use, and left ventricular ejection fraction. All Rights Reserved, Duke Medicine 2008 All-Cause Death Over Time Stratified by Left Ventricular Function and Bandwidth EF < 35%, BW > 100 Proportion dead EF < 35%, BW < 100 P=0.604 EF > 35%, BW > 100 EF > 35%, BW < 100 P<0.001 Years All Rights Reserved, Duke Medicine 2008 Cardiovascular Death Over Time Stratified by Left Ventricular Function and Bandwidth EF < 35%, BW > 100 Proportion dead EF < 35%, BW < 100 EF > 35%, BW > 100 P=0.783 EF > 35%, BW < 100 P<0.001 Years All Rights Reserved, Duke Medicine 2008 Principal Finding Mechanical dyssynchrony detected by GSPECT MPI is an early marker of all-cause and cardiovascular mortality among patients with LVEF >35%. Implication Patients with LVEF > 35% who do not meet current criteria for CRT may nonetheless benefit from device placement. All Rights Reserved, Duke Medicine 2008 Limitations Retrospective, observational study design Sampling bias Diagnostic bias Presence of LBBB unknown Limited number of patients with reduced EF All Rights Reserved, Duke Medicine 2008 Conclusions Mechanical dyssynchrony detected by phase analysis of GSPECT MPI can identify patients with coronary disease at increased risk of allcause mortality and/or cardiovascular mortality after adjustment for standard clinical covariates exclusive of left ventricular ejection fraction. Phase bandwidth is associated with adverse outcomes among patients with LVEF > 35%. All Rights Reserved, Duke Medicine 2008