Journal of veterinary internal medicine · 2016
Predictors of Sudden Cardiac Death in Doberman Pinschers with Dilated Cardiomyopathy.
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Klüser L, Holler P J, Simak J, Tater G, Smets P, Rügamer D, Küchenhoff H, Wess G
Аннотация
BACKGROUND: Doberman Pinschers with dilated cardiomyopathy (DCM) are at high risk of sudden cardiac death (SCD). Risk factors for SCD are poorly defined.
AIM: To assess cardiac biomarkers, Holter-ECG, echocardiographic variables and canine characteristics in a group of Doberman Pinschers with DCM dying of SCD and in a DCM control group to identify factors predicting SCD.
METHODS/ANIMALS: A longitudinal prospective study was performed in 95 Doberman Pinschers with DCM. Forty-one dogs died within 3 months after the last cardiac examination (SCD-group) and were compared to 54 Doberman Pinschers with DCM surviving 1 year after inclusion. Holter-ECG, echocardiography, measurement of N-terminal prohormone of brain-natriuretic peptide (NT-proBNP), and cardiac Troponin I (cTnI) concentrations were recorded for all dogs.
RESULTS: Volume overload of the left ventricle (left ventricular end-diastolic volume (LVEDV/BSA) > 91.3 mL/m²) was the single best variable to predict SCD. The probability of SCD increases 8.5-fold (CI0.95 = 0.8-35.3) for every 50 mL/m²-unit increment in LVEDV/BSA. Ejection fraction (EF), left ventricular end-systolic volume (LVESV/BSA) and NT-proBNP were highly correlated with LVEDV/BSA (r = -0.63, 0.96, 0.86, respectively). Generated conditional inference trees (CTREEs) revealed that the presence of ventricular tachycardia (VT), increased concentration of cTnI, and the fastest rate (FR) of ventricular premature complexes (VPC) ≥260 beats per minute (bpm) are additional important variables to predict SCD.
CONCLUSION: Conditional inference trees provided in this study might be useful for risk assessment of SCD in Doberman Pinschers with DCM.
AIM: To assess cardiac biomarkers, Holter-ECG, echocardiographic variables and canine characteristics in a group of Doberman Pinschers with DCM dying of SCD and in a DCM control group to identify factors predicting SCD.
METHODS/ANIMALS: A longitudinal prospective study was performed in 95 Doberman Pinschers with DCM. Forty-one dogs died within 3 months after the last cardiac examination (SCD-group) and were compared to 54 Doberman Pinschers with DCM surviving 1 year after inclusion. Holter-ECG, echocardiography, measurement of N-terminal prohormone of brain-natriuretic peptide (NT-proBNP), and cardiac Troponin I (cTnI) concentrations were recorded for all dogs.
RESULTS: Volume overload of the left ventricle (left ventricular end-diastolic volume (LVEDV/BSA) > 91.3 mL/m²) was the single best variable to predict SCD. The probability of SCD increases 8.5-fold (CI0.95 = 0.8-35.3) for every 50 mL/m²-unit increment in LVEDV/BSA. Ejection fraction (EF), left ventricular end-systolic volume (LVESV/BSA) and NT-proBNP were highly correlated with LVEDV/BSA (r = -0.63, 0.96, 0.86, respectively). Generated conditional inference trees (CTREEs) revealed that the presence of ventricular tachycardia (VT), increased concentration of cTnI, and the fastest rate (FR) of ventricular premature complexes (VPC) ≥260 beats per minute (bpm) are additional important variables to predict SCD.
CONCLUSION: Conditional inference trees provided in this study might be useful for risk assessment of SCD in Doberman Pinschers with DCM.