Why the study?
Alcohol septal ablation for drug-refractory symptomatic HOCM carries a 6.5-11% risk of complete heart block, prompting the need to identify predictive factors and develop a clinical risk stratification tool.
Can clinical and electrocardiographic factors predict complete heart block in patients undergoing alcohol septal ablation for hypertrophic obstructive cardiomyopathy?
Can clinical and electrocardiographic factors predict complete heart block in patients undergoing alcohol septal ablation for hypertrophic obstructive cardiomyopathy?
A novel 11-point clinical prediction tool using easily obtained clinical and ECG factors can accurately identify patients at high risk for complete heart block after alcohol septal ablation.
May aid preprocedural risk stratification for complete heart block; leaves open prospective validation before clinical adoption.
BACKGROUND: Alcohol septal ablation (ASA) is a proven method of septal reduction for patients with drug refractory, symptomatic hypertrophic obstructive cardiomyopathy (HOCM). This procedure is associated with a 6.5-11% risk of complete heart block (CHB). OBJECTIVE: The aim of this study is to determine factors that predict CHB and to develop a clinical tool for risk stratification of patients. METHODS: Patients were enrolled into an ongoing ASA study. A total of 636 patient procedures were included, 527 of whom were used in the development of the prediction tool, and 109 of whom were used for independent validation. Multivariate analysis was performed with odds ratios used to develop the clinical prediction tool. This was then internally and externally validated. RESULTS: Of the 527 in the prediction cohort, 46 developed CHB. The predictors of CHB were age ≥50 years, pre-ASA left bundle branch block (LBBB), transient procedural high-grade block, post-ASA PR prolongation ≥68 ms, and new bifascicular block. An 11-point clinical prediction tool was developed to classify these factors. Internal validation using a receiver operating characteristic curve revealed an area under the curve of 0.88 for the clinical prediction tool. External validation using 109 contemporary patients revealed a 98% negative predictive value, 24% positive predictive value, 75% sensitivity, and 81% specificity in high-risk patients. CONCLUSION: Among patients undergoing ASA, the risk of CHB can be predicted with easily obtained clinical and electrocardiographic factors. This clinical prediction tool allows identification of high-risk patients who may benefit from additional monitoring and therapy.
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Karimianpour et al. (2021) studied this question.
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