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A novel risk model for predicting potentially life-threatening arrhythmias in non-ischemic dilated cardiomyopathy
Elham Kayvanpour1, Arjan Sammani2, Farbod Sedaghat-Hamedani1
1University Hospital of Heidelberg, Cardiology, Heidelberg, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Germany.
Insights
A new risk calculator for dilated cardiomyopathy (DCM) patients can identify those at high risk for ventricular arrhythmias. This tool aims to improve sudden cardiac death (SCD) prevention and reduce unnecessary implantable cardioverter-defibrillator (ICD) procedures.
Area of Science:
- Cardiology
- Clinical Risk Stratification
- Electrophysiology
Background:
- Non-ischemic dilated cardiomyopathy (DCM) poses a risk of sustained ventricular arrhythmias (SVA) and sudden cardiac death (SCD).
- Current guidelines rely on left-ventricular ejection fraction (LV-EF) for prophylactic implantable cardioverter-defibrillator (ICD) implantation, which may lead to overtreatment or missed diagnoses.
- Individualized risk stratification is needed for DCM patients.
Purpose of the Study:
- To develop and validate a clinical risk calculator for individualized risk stratification of DCM patients.
- To improve decision-making for primary prophylactic ICD implantation in non-ischemic DCM.
- To reduce overtreatment and ensure appropriate patient selection for ICDs.
Main Methods:
- A multi-center European study (DETECTIN-HF) included 1393 DCM patients.
- A Cox proportional hazards model was developed and internally validated using cross-validation.
- The model incorporated seven clinical parameters: sex, history of non-sustained ventricular tachycardia, syncope, family history of cardiomyopathy, QRS duration, LV-EF, and atrial fibrillation history. Late gadolinium enhancement (LGE) was an optional eighth parameter.
Main Results:
- During a mean follow-up of 57.0 months, 13.8% of patients experienced an arrhythmic event.
- The model demonstrated good calibration (slope 0.97) and discrimination (C-index 0.72).
- The model identified patients for ICD implantation, achieving similar protection as current guidelines but with 15% fewer implantations.
Conclusions:
- The developed DCM-SVA risk model effectively stratifies risk using accessible clinical data.
- This tool can enhance decision-making for primary SCD prevention in non-ischemic DCM.
- The model is expected to reduce overtreatment with ICDs in this patient population.
Background:
Non-ischemic dilated cardiomyopathy (DCM) can be complicated by sustained ventricular arrhythmias (SVA) and sudden cardiac death (SCD). By now, left-ventricular ejection fraction (LV-EF) is the main guideline criterion for primary prophylactic ICD implantation, potentially leading either to overtreatment or failed detection of patients at risk without severely impaired LV-EF. The aim of the European multi-center study DETECTIN-HF was to establish a clinical risk calculator for individualized risk stratification of DCM patients.
Methods:
1393 patients (68% male, mean age 50.7 ± 14.3y) from four European countries were included. The outcome was occurrence of first potentially life-threatening ventricular arrhythmia. The model was developed using Cox proportional hazards, and internally validated using cross validation. The model included seven independent and easily accessible clinical parameters sex, history of non-sustained ventricular tachycardia, history of syncope, family history of cardiomyopathy, QRS duration, LV-EF, and history of atrial fibrillation. The model was also expanded to account for presence of LGE as the eight8h parameter for cases with available cMRI and scar information.
Results:
During a mean follow-up period of 57.0 months, 193 (13.8%) patients experienced an arrhythmic event. The calibration slope of the developed model was 00.97 (95% CI 0.90-1.03) and the C-index was 0.72 (95% CI 0.71-0.73). Compared to current guidelines, the model was able to protect the same number of patients (5-year risk ≥8.5%) with 15% fewer ICD implantations.
Conclusions:
This DCM-SVA risk model could improve decision making in primary prevention of SCD in non-ischemic DCM using easily accessible clinical information and will likely reduce overtreatment.
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