A patient selection score for cardiac resynchronization therapy

Echocardiography. 2011 Feb;28(2):188-95. doi: 10.1111/j.1540-8175.2010.01301.x.

Abstract

Background: We hypothesized a patient selection score (PSS) may improve patient selection for cardiac resynchronization therapy (CRT).

Methods: Of 136 patients who received CRT, group A included 100 study patients and group B 36 patients for validation. A positive response to CRT was a left ventricular (LV) end-systolic volume decrease of ≥15% and survival from heart failure at end of follow-up.

Results: Of 100 group A patients, 37 (37%) were CRT responders during 14-month follow-up. A 7-point PSS was generated based on six variables. The cutoff point for PSS to predict a positive response to CRT was >4 by receiver operating characteristic (ROC) analysis. The area under the ROC curve (AUC) for PSS to predict CRT response was 0.94 (P = 0.0001). CRT responders in patients with a PSS > 4 and ≤4 were 33/40 (83%), and 4/60 (7%), respectively (P < 0.001). Multivariate Cox proportional regression analysis showed that PSS was related to CRT response (hazard ratio = 10.3, P < 0.0001). The CRT response rate in patients with a PSS > 4 in Group B was also significantly higher compared to a PSS ≤ 4 (88% vs. 16%, P < 0.001). The AUC for PSS to predict a CRT response in Group B was 0.91 (P = 0.0001).

Conclusions: Patients with a PSS >4 are the most likely to respond to CRT. Using this score system, a PSS score >4 can predict the probability of a CRT response up to 88% in patients with heart failure and a wide QRS duration.

MeSH terms

  • Aged
  • Cardiac Resynchronization Therapy / mortality*
  • Comorbidity
  • Female
  • Heart Failure / diagnostic imaging
  • Heart Failure / mortality*
  • Heart Failure / prevention & control*
  • Humans
  • Male
  • New York / epidemiology
  • Outcome Assessment, Health Care / methods*
  • Patient Selection*
  • Prevalence
  • Risk Assessment
  • Risk Factors
  • Survival Analysis
  • Survival Rate
  • Treatment Outcome
  • Ultrasonography / statistics & numerical data*