Predictive Score for Identifying Survival and Recurrence Risk Profiles in Patients Undergoing Ventricular Tachycardia Ablation

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 & 5 others Francis Marchlinski, William G. Stevenson, Kalyanam Shivkumar, William H. Sauer, Paolo Della Bella

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)e006730
JournalCirculation. Arrhythmia and electrophysiology
Volume11
Issue number12
DOIs
StatePublished - Dec 1 2018

Fingerprint

Ventricular Tachycardia
Recurrence
Survival Analysis
Survival
Mortality
Stroke Volume
Cardiac Resynchronization Therapy
Implantable Defibrillators
Comorbidity
Cardiac Arrhythmias
Survival Rate
Demography
Equipment and Supplies

Keywords

  • cardiomyopathies
  • catheter ablation
  • mortality
  • risk assessment
  • ventricular tachycardia

PubMed: MeSH publication types

  • Journal Article

Cite this

Predictive Score for Identifying Survival and Recurrence Risk Profiles in Patients Undergoing Ventricular Tachycardia Ablation. / Vergara, Pasquale; Tzou, Wendy S.; Tung, Roderick; Brombin, Chiara; Nonis, Alessandro; Vaseghi, Marmar; Frankel, David S.; Di Biase, Luigi; Tedrow, Usha; Mathuria, Nilesh; Nakahara, Shiro; Tholakanahalli, Venkat; Bunch, T. Jared; Weiss, J. Peter; Dickfeld, Timm; Lakireddy, Dhanunjaya; Burkhardt, J. David; Santangeli, Pasquale; Callans, David; Natale, Andrea; Marchlinski, Francis; Stevenson, William G.; Shivkumar, Kalyanam; Sauer, William H.; Della Bella, Paolo.

In: Circulation. Arrhythmia and electrophysiology, Vol. 11, No. 12, 01.12.2018, p. e006730.

Research output: Contribution to journalArticle

Vergara, P, Tzou, WS, Tung, R, Brombin, C, Nonis, A, Vaseghi, M, Frankel, DS, Di Biase, L, Tedrow, U, Mathuria, N, Nakahara, S, Tholakanahalli, V, Bunch, TJ, Weiss, JP, Dickfeld, T, Lakireddy, D, Burkhardt, JD, Santangeli, P, Callans, D, Natale, A, Marchlinski, F, Stevenson, WG, Shivkumar, K, Sauer, WH & Della Bella, P 2018, 'Predictive Score for Identifying Survival and Recurrence Risk Profiles in Patients Undergoing Ventricular Tachycardia Ablation', Circulation. Arrhythmia and electrophysiology, vol. 11, no. 12, pp. e006730. https://doi.org/10.1161/CIRCEP.118.006730
Vergara, Pasquale ; Tzou, Wendy S. ; Tung, Roderick ; Brombin, Chiara ; Nonis, Alessandro ; Vaseghi, Marmar ; Frankel, David S. ; Di Biase, Luigi ; Tedrow, Usha ; Mathuria, Nilesh ; Nakahara, Shiro ; Tholakanahalli, Venkat ; Bunch, T. Jared ; Weiss, J. Peter ; Dickfeld, Timm ; Lakireddy, Dhanunjaya ; Burkhardt, J. David ; Santangeli, Pasquale ; Callans, David ; Natale, Andrea ; Marchlinski, Francis ; Stevenson, William G. ; Shivkumar, Kalyanam ; Sauer, William H. ; Della Bella, Paolo. / Predictive Score for Identifying Survival and Recurrence Risk Profiles in Patients Undergoing Ventricular Tachycardia Ablation. In: Circulation. Arrhythmia and electrophysiology. 2018 ; Vol. 11, No. 12. pp. e006730.
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T1 - Predictive Score for Identifying Survival and Recurrence Risk Profiles in Patients Undergoing Ventricular Tachycardia Ablation

AU - Vergara, Pasquale

AU - Tzou, Wendy S.

AU - Tung, Roderick

AU - Brombin, Chiara

AU - Nonis, Alessandro

AU - Vaseghi, Marmar

AU - Frankel, David S.

AU - Di Biase, Luigi

AU - Tedrow, Usha

AU - Mathuria, Nilesh

AU - Nakahara, Shiro

AU - Tholakanahalli, Venkat

AU - Bunch, T. Jared

AU - Weiss, J. Peter

AU - Dickfeld, Timm

AU - Lakireddy, Dhanunjaya

AU - Burkhardt, J. David

AU - Santangeli, Pasquale

AU - Callans, David

AU - Natale, Andrea

AU - Marchlinski, Francis

AU - Stevenson, William G.

AU - Shivkumar, Kalyanam

AU - Sauer, William H.

AU - Della Bella, Paolo

PY - 2018/12/1

Y1 - 2018/12/1

N2 - 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.

AB - 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.

KW - cardiomyopathies

KW - catheter ablation

KW - mortality

KW - risk assessment

KW - ventricular tachycardia

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