OBJECTIVE: We sought to determine the value of electrocardiographic right ventricular hypertrophy (ECG-RVH) in pulmonary hypertension (PH) patients with right ventricular systolic dysfunction defined by cardiac magnetic resonance (CMR-RVSD). PATIENTS: A total of 31 consecutive patients with PH with a mean pulmonary arterial pressure of >25 mmHg underwent both ECG and CMR studies. Patients were divided into 2 groups according to the presence of RVSD, defined as a RV ejection fraction <35%. Logistic regression modeling was performed to define the association between ECG-RVH and CMR-RVSD. RESULTS: About half of the patients had RVSD (n=15 ; 48%). The R to S wave ratio (p=0.01) or incidence of qR pattern (p=0.002) in lead V(1) was significantly greater in patients with PH complicated by RVSD than in those without RVSD. These 2 patterns were significant predictors of RVSD [odds ratio (OR), 19.3 for qR; OR, 14.0 for R/S>1] and when each of these ECG findings was assigned with a point proportional to OR (score of 2 for qR in lead V(1) and score of 1 for R/S>1 in lead V(1)), the incidence of RVSD increased by the total ECG score. CONCLUSION: The combination of ECG-RVH findings, especially in lead V(1), predicts the presence of RVSD defined by CMR. ECG might be a useful tool for estimating the presence of RVSD in patients with PH.
OBJECTIVE: We sought to determine the value of electrocardiographic right ventricular hypertrophy (ECG-RVH) in pulmonary hypertension (PH) patients with right ventricular systolic dysfunction defined by cardiac magnetic resonance (CMR-RVSD). PATIENTS: A total of 31 consecutive patients with PH with a mean pulmonary arterial pressure of >25 mmHg underwent both ECG and CMR studies. Patients were divided into 2 groups according to the presence of RVSD, defined as a RV ejection fraction <35%. Logistic regression modeling was performed to define the association between ECG-RVH and CMR-RVSD. RESULTS: About half of the patients had RVSD (n=15 ; 48%). The R to S wave ratio (p=0.01) or incidence of qR pattern (p=0.002) in lead V(1) was significantly greater in patients with PH complicated by RVSD than in those without RVSD. These 2 patterns were significant predictors of RVSD [odds ratio (OR), 19.3 for qR; OR, 14.0 for R/S>1] and when each of these ECG findings was assigned with a point proportional to OR (score of 2 for qR in lead V(1) and score of 1 for R/S>1 in lead V(1)), the incidence of RVSD increased by the total ECG score. CONCLUSION: The combination of ECG-RVH findings, especially in lead V(1), predicts the presence of RVSD defined by CMR. ECG might be a useful tool for estimating the presence of RVSD in patients with PH.
Authors: Irina Balieva; Anastase Dzudie; Friedrich Thienemann; Ana O Mocumbi; Kamilu Karaye; Mahmoud U Sani; Okechukwu S Ogah; Adriaan A Voors; Andre Pascal Kengne; Karen Sliwa Journal: Cardiovasc J Afr Date: 2017-10-11 Impact factor: 1.167