title: Can LV dyssynchrony as assessed with phase analysis on gated myocardial perfusion SPECT predict response to CRT?
abstract: Cardiac resynchronization therapy (CRT) is now a well-recognized therapeutic option for patients with end-stage heart failure. However, not all patients respond to CRT, and, therefore, preimplantation identification of responders is desirable. The aim of the present study was to investigate whether the degree of left ventricular (LV) dyssynchrony, as assessed with phase analysis from gated myocardial perfusion SPECT (GMPS), can predict which patients will respond to CRT.
  
  
  METHODS
  Forty-two patients with severe heart failure, depressed LV ejection fraction, and wide QRS complex were prospectively included for implantation of a CRT device and underwent GMPS and 2-dimensional echocardiography as part of the clinical protocol. Clinical status was evaluated using the New York Heart Association (NYHA) classification, 6-min walk test, and quality-of-life score. The histogram bandwidth and phase SD (parameters indicating LV dyssynchrony) were assessed from GMPS, and the clinical status and echocardiographic variables were reassessed at 6-mo follow-up.
  
  
  RESULTS
  Responders (71%) and nonresponders (29%) had comparable baseline characteristics, except for histogram bandwidth (175 degrees +/- 63 degrees vs. 117 degrees +/- 51 degrees [P < 0.01]) and phase SD (56.3 degrees +/- 19.9 degrees vs. 37 degrees .1 +/- 14.4 degrees [P < 0.01]), which were significantly larger in responders compared with nonresponders. Moreover, receiver-operating-characteristic curve analysis demonstrated an optimal cutoff value of 135 degrees for histogram bandwidth (sensitivity and specificity of 70%) and of 43 degrees for phase SD (sensitivity and specificity of 74%) for the prediction of response to CRT.
  
  
  CONCLUSIONS
  Response to CRT is related to the presence of LV dyssynchrony assessed by phase analysis with GMPS. A cutoff value of 135 degrees for histogram bandwidth and of 43 degrees for phase SD could be used to predict response to CRT. Larger prospective studies are warranted to confirm the present findings.
authors.affiliation: Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.
authors.forename: Maureen M
authors.initials: MM
authors.lastname: Henneman
authors.forename: Ji
authors.initials: J
authors.lastname: Chen
authors.forename: Petra
authors.initials: P
authors.lastname: Dibbets-Schneider
authors.forename: Marcel P
authors.initials: MP
authors.lastname: Stokkel
authors.forename: Gabe B
authors.initials: GB
authors.lastname: Bleeker
authors.forename: Claudia
authors.initials: C
authors.lastname: Ypenburg
authors.forename: Ernst E
authors.initials: EE
authors.lastname: van der Wall
authors.forename: Martin J
authors.initials: MJ
authors.lastname: Schalij
authors.forename: Ernest V
authors.initials: EV
authors.lastname: Garcia
authors.forename: Jeroen J
authors.initials: JJ
authors.lastname: Bax
mesh_terms: D000368:Aged; D002304:Cardiac Pacing, Artificial; D003326:Coronary Circulation; D004452:Echocardiography / Q000379:methods; D005260:Female; D006333:Heart Failure / Q000175:diagnosis* / Q000628:therapy; D006801:Humans; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D015899:Tomography, Emission-Computed, Single-Photon / Q000379:methods; D018487:Ventricular Dysfunction, Left / Q000175:diagnosis*