Clinical application of the fibrillation number in patients with an implantable cardioverter defibrillator

Minki Hwang, Hancheol Lee, Young Seon Lee, Soonwon Chung, Sung Hwan Choi, Eun Bo Shim, huinam pak

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Introduction: Although ventricular tachycardia/fibrillation (VT/VF) develops suddenly with catastrophic results, its prediction is limited. We tested the fibrillation number (FibN) for potential predictor of VT/VF using clinical data of implantable cardioverter-defibrillator (ICD) patients after validating the number by computational modeling. Methods: For clinical application of FibN, we used electrocardiography and echocardiography data: QRS width, QTc, and left ventricular (LV) end-systolic dimension (FibNVT/ VF1) or LV end-diastolic dimension (FibNVT/VF2). We compared the maintenance duration of VT/VF for various FibN values using computational modeling, and tested FibNVT/VF in 142 patients with ICD for secondary prevention and 426 patients in age-sex matched control group (81.9% male, 56.1±12.3 years old). Results: 1. Computational results showed a positive correlation between VT/VF maintenance duration and FibN (R=0.82, p<0.001). 2. FibNVT/VFs were significantly higher in patients with ICD than in control (both FibNVT/VF1 and FibNVT/VF2, p<0.001). 3. Within ICD group, FibNVT/VF values were higher in patients with cardiomyopathy than those without (both FibNVT/VF1 and FibNVT/VF2, p<0.001). 4. During 50±39 months follow-up period, the frequency of appropriate ICD therapy was higher in the high FibNVT/VF group (FibNVT/VF1, p=0.001; FibNVT/VF2, p=0.002). Both FibNVT/VF1 (HR 2.51, 95%CI 1.48-4.24, p=0.001) and FibNVT/VF2 (HR 2.11, 95%CI 1.25-3.55, p=0.005) were independently associated with appropriate ICD therapy in multi-variate analyses. Conclusion: FibNVT/VF, a parameter based on wavelength and heart size, correlates well with maintenance of VT/VF in computational modeling, and may have predictive value for VT/VF events in patients with ICD for secondary prevention.

Original languageEnglish
Pages (from-to)33-39
Number of pages7
JournalProgress in Biophysics and Molecular Biology
Volume116
Issue number1
DOIs
Publication statusPublished - 2014 Jan 1

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Implantable Defibrillators
Maintenance
Secondary Prevention
Ventricular Fibrillation
Ventricular Tachycardia
Cardiomyopathies
Echocardiography
Electrocardiography
Research Design
Control Groups
Therapeutics

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Molecular Biology

Cite this

Hwang, Minki ; Lee, Hancheol ; Lee, Young Seon ; Chung, Soonwon ; Choi, Sung Hwan ; Shim, Eun Bo ; pak, huinam. / Clinical application of the fibrillation number in patients with an implantable cardioverter defibrillator. In: Progress in Biophysics and Molecular Biology. 2014 ; Vol. 116, No. 1. pp. 33-39.
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title = "Clinical application of the fibrillation number in patients with an implantable cardioverter defibrillator",
abstract = "Introduction: Although ventricular tachycardia/fibrillation (VT/VF) develops suddenly with catastrophic results, its prediction is limited. We tested the fibrillation number (FibN) for potential predictor of VT/VF using clinical data of implantable cardioverter-defibrillator (ICD) patients after validating the number by computational modeling. Methods: For clinical application of FibN, we used electrocardiography and echocardiography data: QRS width, QTc, and left ventricular (LV) end-systolic dimension (FibNVT/ VF1) or LV end-diastolic dimension (FibNVT/VF2). We compared the maintenance duration of VT/VF for various FibN values using computational modeling, and tested FibNVT/VF in 142 patients with ICD for secondary prevention and 426 patients in age-sex matched control group (81.9{\%} male, 56.1±12.3 years old). Results: 1. Computational results showed a positive correlation between VT/VF maintenance duration and FibN (R=0.82, p<0.001). 2. FibNVT/VFs were significantly higher in patients with ICD than in control (both FibNVT/VF1 and FibNVT/VF2, p<0.001). 3. Within ICD group, FibNVT/VF values were higher in patients with cardiomyopathy than those without (both FibNVT/VF1 and FibNVT/VF2, p<0.001). 4. During 50±39 months follow-up period, the frequency of appropriate ICD therapy was higher in the high FibNVT/VF group (FibNVT/VF1, p=0.001; FibNVT/VF2, p=0.002). Both FibNVT/VF1 (HR 2.51, 95{\%}CI 1.48-4.24, p=0.001) and FibNVT/VF2 (HR 2.11, 95{\%}CI 1.25-3.55, p=0.005) were independently associated with appropriate ICD therapy in multi-variate analyses. Conclusion: FibNVT/VF, a parameter based on wavelength and heart size, correlates well with maintenance of VT/VF in computational modeling, and may have predictive value for VT/VF events in patients with ICD for secondary prevention.",
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Clinical application of the fibrillation number in patients with an implantable cardioverter defibrillator. / Hwang, Minki; Lee, Hancheol; Lee, Young Seon; Chung, Soonwon; Choi, Sung Hwan; Shim, Eun Bo; pak, huinam.

In: Progress in Biophysics and Molecular Biology, Vol. 116, No. 1, 01.01.2014, p. 33-39.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Clinical application of the fibrillation number in patients with an implantable cardioverter defibrillator

AU - Hwang, Minki

AU - Lee, Hancheol

AU - Lee, Young Seon

AU - Chung, Soonwon

AU - Choi, Sung Hwan

AU - Shim, Eun Bo

AU - pak, huinam

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Introduction: Although ventricular tachycardia/fibrillation (VT/VF) develops suddenly with catastrophic results, its prediction is limited. We tested the fibrillation number (FibN) for potential predictor of VT/VF using clinical data of implantable cardioverter-defibrillator (ICD) patients after validating the number by computational modeling. Methods: For clinical application of FibN, we used electrocardiography and echocardiography data: QRS width, QTc, and left ventricular (LV) end-systolic dimension (FibNVT/ VF1) or LV end-diastolic dimension (FibNVT/VF2). We compared the maintenance duration of VT/VF for various FibN values using computational modeling, and tested FibNVT/VF in 142 patients with ICD for secondary prevention and 426 patients in age-sex matched control group (81.9% male, 56.1±12.3 years old). Results: 1. Computational results showed a positive correlation between VT/VF maintenance duration and FibN (R=0.82, p<0.001). 2. FibNVT/VFs were significantly higher in patients with ICD than in control (both FibNVT/VF1 and FibNVT/VF2, p<0.001). 3. Within ICD group, FibNVT/VF values were higher in patients with cardiomyopathy than those without (both FibNVT/VF1 and FibNVT/VF2, p<0.001). 4. During 50±39 months follow-up period, the frequency of appropriate ICD therapy was higher in the high FibNVT/VF group (FibNVT/VF1, p=0.001; FibNVT/VF2, p=0.002). Both FibNVT/VF1 (HR 2.51, 95%CI 1.48-4.24, p=0.001) and FibNVT/VF2 (HR 2.11, 95%CI 1.25-3.55, p=0.005) were independently associated with appropriate ICD therapy in multi-variate analyses. Conclusion: FibNVT/VF, a parameter based on wavelength and heart size, correlates well with maintenance of VT/VF in computational modeling, and may have predictive value for VT/VF events in patients with ICD for secondary prevention.

AB - Introduction: Although ventricular tachycardia/fibrillation (VT/VF) develops suddenly with catastrophic results, its prediction is limited. We tested the fibrillation number (FibN) for potential predictor of VT/VF using clinical data of implantable cardioverter-defibrillator (ICD) patients after validating the number by computational modeling. Methods: For clinical application of FibN, we used electrocardiography and echocardiography data: QRS width, QTc, and left ventricular (LV) end-systolic dimension (FibNVT/ VF1) or LV end-diastolic dimension (FibNVT/VF2). We compared the maintenance duration of VT/VF for various FibN values using computational modeling, and tested FibNVT/VF in 142 patients with ICD for secondary prevention and 426 patients in age-sex matched control group (81.9% male, 56.1±12.3 years old). Results: 1. Computational results showed a positive correlation between VT/VF maintenance duration and FibN (R=0.82, p<0.001). 2. FibNVT/VFs were significantly higher in patients with ICD than in control (both FibNVT/VF1 and FibNVT/VF2, p<0.001). 3. Within ICD group, FibNVT/VF values were higher in patients with cardiomyopathy than those without (both FibNVT/VF1 and FibNVT/VF2, p<0.001). 4. During 50±39 months follow-up period, the frequency of appropriate ICD therapy was higher in the high FibNVT/VF group (FibNVT/VF1, p=0.001; FibNVT/VF2, p=0.002). Both FibNVT/VF1 (HR 2.51, 95%CI 1.48-4.24, p=0.001) and FibNVT/VF2 (HR 2.11, 95%CI 1.25-3.55, p=0.005) were independently associated with appropriate ICD therapy in multi-variate analyses. Conclusion: FibNVT/VF, a parameter based on wavelength and heart size, correlates well with maintenance of VT/VF in computational modeling, and may have predictive value for VT/VF events in patients with ICD for secondary prevention.

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