Predictive Score for Identifying Survival and Recurrence Risk Profiles in Patients Undergoing Ventricular Tachycardia Ablation
Year: 2018
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Several distinct risk factors for arrhythmia recurrence and mortality following ventricular tachycardia (VT) ablation have been described. The effect of concurrent risk factors has not been assessed so far; thus, it is not yet possible to estimate these risks for a patient with several comorbidities. The aim of the study was to identify specific risk groups for mortality and VT recurrence using the Survival Tree (ST) analysis method. METHODS: In 1251 patients 16 demographic, clinical and procedure-related variables were evaluated as potential prognostic factors using ST analysis using a recursive partitioning algorithm that searches for relationships among variables. Survival time and time to VT recurrence in groups derived from ST analysis were compared by a log-rank test. A random forest analysis was then run to extract a variable importance index and internally validate the ST models. RESULTS: Left ventricular ejection fraction, implantable cardioverter defibrillator/cardiac resynchronization device, previous ablation were, in hierarchical order, identified by ST analysis as best predictors of VT recurrence, while left ventricular ejection fraction, previous ablation, Electrical storm were identified as best predictors of mortality. Three groups with significantly different survival rates were identified. Among the high-risk group, 65.0% patients were survived and 52.1% patients were free from VT recurrence; within the medium- and low-risk groups, 84.0% and 97.2% patients survived, 72.4% and 88.4% were free from VT recurrence, respectively. CONCLUSIONS: Our study is the first to derive and validate a decisional model that provides estimates of VT recurrence and mortality with an effective classification tree. Preprocedure risk stratification could help optimize periprocedural and postprocedural care.
Authors: Pasquale Vergara, Wendy S. Tzou, Roderick Tung, Chiara Brombin, Alessandro Nonis, Marmar Vaseghi, David S. Frankel, Luigi Di Biase, Usha Tedrow, Nilesh Mathuria, Shiro Nakahara, Venkat Tholakanahalli, T. Jared Bunch, J. Peter Weiss, Timm Dickfeld, Dhanunjaya Lakireddy, J. David Burkhardt, Pasquale Santangeli, David Callans, Andrea Natale, Francis Marchlinski, William G. Stevenson, Kalyanam Shivkumar, William H. Sauer, Paolo Della Bella
Institutions: IRCCS Ospedale San Raffaele, University of Chicago Medical Center, Vita-Salute San Raffaele University, University of California, Los Angeles, UCLA Health, University of Pennsylvania, Albert Einstein College of Medicine, Montefiore Medical Center, Brigham and Women's Hospital, Dokkyo Medical University Saitama Medical Center, University of Minnesota Medical Center, Minneapolis VA Medical Center, Intermountain Healthcare, Intermountain Medical Center, University of Maryland Medical Center, University of Kansas Medical Center, St David's Medical Center, Texas Cardiac Arrhythmia, Vanderbilt University Medical Center
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W2911211328