Paced ventricular electrogram fractionation predicts sudden cardiac death in hypertrophic cardiomyopathy
Paced ventricular electrogram fractionation predicts sudden cardiac death in hypertrophic cardiomyopathy
AIMS: Paced electrogram fractionation analysis (PEFA) has been assessed for the prediction of sudden cardiac death (SCD) in a large-scale, prospective study of patients with hypertrophic cardiomyopathy (HCM).
METHODS AND RESULTS: We determined the positive predictive value (PPV) of PEFA in relation to other risk factors for SCD and outcomes in 179 patients with HCM and no prior history of cardiac arrest. Patients were followed over a mean 4.3 years (range: 1.1-6.3 years). Thirteen patients had SCD-equivalent events: four of these patients died suddenly, three were resuscitated from ventricular fibrillation (VF), and six had implantable cardioverter-defibrillator (ICD) discharges in response to VF. PEFA identified nine of these patients and another 14 non-VF patients yielding a censored PPV of between 0.19 and 0.59 that was greater than the PPV that was the formal stopping point of the trial (0.18). Eighty per cent of patients were followed for 4 years or more. The PPV for the identification of SCD in this group was 0.38 (0.17-0.59). The use of two or more conventional markers to predict SCD identified five patients with SCD-equivalent events in the 4-year follow-up group and 42 other patients without events yielding a PPV of 0.106 (confidence limits 0.02-0.15).
CONCLUSION: PEFA identifies HCM patients at risk of SCD with greater accuracy than non-invasive techniques and may have an important role in determining indications for ICD prescription.
prospective studies, research, ventricular fibrillation, risk factors, analysis, risk, methods
1653-1661
Saumarez, Richard C.
89570056-8e42-4166-a0a5-0630c0b0ab71
Pytkowski, Mariusz
35db423b-4e15-49c0-b28c-ce5fd410354f
Sterlinski, Maciej
fc77ffdf-5555-4700-b438-1b5254e59dc1
Bourke, John P.
42dd5293-be27-43be-a96f-491a1ceb3f68
Clague, Jonathan R.
c8c668e7-393b-4e83-9d75-5b5cf7fc8816
Cobbe, Stuart M.
1b01ea6f-fc26-4df1-9b4a-e3b244f7a9f3
Connelly, Derek T.
ddc4adfe-f823-461d-9eb9-a93204c0147f
Griffith, Michael J.
73a15213-5c3a-49b0-97dd-7e2d5cc7c05a
McKeown, Pascal P.
31da9de1-61d1-4683-b46d-b004dd65ef8b
McLeod, Karen
795385db-feee-41ea-8ac0-01888f4ba6f9
Morgan, John M.
ac98099e-241d-4551-bc98-709f6dfc8680
Sadoul, Nicolas
9fd5f044-9fe6-48cb-b4cb-b33b7fd438d5
Chojnowska, Lidia
6e55f5fd-23ea-4553-a50f-b253546b1e51
Huang, Christopher L.
5c13befd-58ef-40d0-9ca2-ae269f2aa6e4
Grace, Andrew A.
2878a3ae-e0f9-426d-b5a7-a0689fa0f259
2008
Saumarez, Richard C.
89570056-8e42-4166-a0a5-0630c0b0ab71
Pytkowski, Mariusz
35db423b-4e15-49c0-b28c-ce5fd410354f
Sterlinski, Maciej
fc77ffdf-5555-4700-b438-1b5254e59dc1
Bourke, John P.
42dd5293-be27-43be-a96f-491a1ceb3f68
Clague, Jonathan R.
c8c668e7-393b-4e83-9d75-5b5cf7fc8816
Cobbe, Stuart M.
1b01ea6f-fc26-4df1-9b4a-e3b244f7a9f3
Connelly, Derek T.
ddc4adfe-f823-461d-9eb9-a93204c0147f
Griffith, Michael J.
73a15213-5c3a-49b0-97dd-7e2d5cc7c05a
McKeown, Pascal P.
31da9de1-61d1-4683-b46d-b004dd65ef8b
McLeod, Karen
795385db-feee-41ea-8ac0-01888f4ba6f9
Morgan, John M.
ac98099e-241d-4551-bc98-709f6dfc8680
Sadoul, Nicolas
9fd5f044-9fe6-48cb-b4cb-b33b7fd438d5
Chojnowska, Lidia
6e55f5fd-23ea-4553-a50f-b253546b1e51
Huang, Christopher L.
5c13befd-58ef-40d0-9ca2-ae269f2aa6e4
Grace, Andrew A.
2878a3ae-e0f9-426d-b5a7-a0689fa0f259
Saumarez, Richard C., Pytkowski, Mariusz, Sterlinski, Maciej, Bourke, John P., Clague, Jonathan R., Cobbe, Stuart M., Connelly, Derek T., Griffith, Michael J., McKeown, Pascal P., McLeod, Karen, Morgan, John M., Sadoul, Nicolas, Chojnowska, Lidia, Huang, Christopher L. and Grace, Andrew A.
(2008)
Paced ventricular electrogram fractionation predicts sudden cardiac death in hypertrophic cardiomyopathy.
European Heart Journal, 29 (13), .
(doi:10.1093/eurheartj/ehn111).
Abstract
AIMS: Paced electrogram fractionation analysis (PEFA) has been assessed for the prediction of sudden cardiac death (SCD) in a large-scale, prospective study of patients with hypertrophic cardiomyopathy (HCM).
METHODS AND RESULTS: We determined the positive predictive value (PPV) of PEFA in relation to other risk factors for SCD and outcomes in 179 patients with HCM and no prior history of cardiac arrest. Patients were followed over a mean 4.3 years (range: 1.1-6.3 years). Thirteen patients had SCD-equivalent events: four of these patients died suddenly, three were resuscitated from ventricular fibrillation (VF), and six had implantable cardioverter-defibrillator (ICD) discharges in response to VF. PEFA identified nine of these patients and another 14 non-VF patients yielding a censored PPV of between 0.19 and 0.59 that was greater than the PPV that was the formal stopping point of the trial (0.18). Eighty per cent of patients were followed for 4 years or more. The PPV for the identification of SCD in this group was 0.38 (0.17-0.59). The use of two or more conventional markers to predict SCD identified five patients with SCD-equivalent events in the 4-year follow-up group and 42 other patients without events yielding a PPV of 0.106 (confidence limits 0.02-0.15).
CONCLUSION: PEFA identifies HCM patients at risk of SCD with greater accuracy than non-invasive techniques and may have an important role in determining indications for ICD prescription.
This record has no associated files available for download.
More information
Published date: 2008
Keywords:
prospective studies, research, ventricular fibrillation, risk factors, analysis, risk, methods
Identifiers
Local EPrints ID: 61494
URI: http://eprints.soton.ac.uk/id/eprint/61494
ISSN: 0195-668X
PURE UUID: c3bc6cdc-62f5-424b-a6d9-3729eb6b4b69
Catalogue record
Date deposited: 12 Sep 2008
Last modified: 15 Mar 2024 11:26
Export record
Altmetrics
Contributors
Author:
Richard C. Saumarez
Author:
Mariusz Pytkowski
Author:
Maciej Sterlinski
Author:
John P. Bourke
Author:
Jonathan R. Clague
Author:
Stuart M. Cobbe
Author:
Derek T. Connelly
Author:
Michael J. Griffith
Author:
Pascal P. McKeown
Author:
Karen McLeod
Author:
John M. Morgan
Author:
Nicolas Sadoul
Author:
Lidia Chojnowska
Author:
Christopher L. Huang
Author:
Andrew A. Grace
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics