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| Predictive value of fragmented QRS complex and left ventricular hypertrophy for ventricular arrhythmias in patients with primary hypertension |
| XU Yueyue, LV Congmin, ZHANG Meng, LI Xiaoniu, ZHAO Xinzhu |
| (Department of Cardiology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou Henan 450003, China) |
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Abstract Objective To investigate the predictive value of fragmented QRS complex and left ventricular hypertrophy for ventricular arrhythmia (VA) in patients with primary hypertension (PH). Methods A total of 261 inpatients with PH were selected, and they all underwent routine electrocardiography, ambulatory electrocardiography (AECG), ambulatory blood pressure monitoring, echocardiography, and other examinations. Based on the results of AECG, the enrolled patients were divided into VA group (129 cases) and non-VA group (132 cases). Laboratory and examination results of general information and biochemical indicators were compared and analyzed between the two groups. Significant variables identified through univariate analysis were included in multivariate Logistic regression analysis to explore the relationship between fragmented QRS complex, left ventricular hypertrophy, and VA. Results In the VA group, the level of low-density lipoprotein cholesterol, positive rate of fragmented QRS complex, left ventricular posterior wall thickness, and left ventricular enddiastolic diameter were all higher than those in the nonVA group (P<0.05). Logistic regression analysis revealed that fragmented QRS complex and left ventricular hypertrophy were independent risk factors for VA in patients with PH. ROC curve analysis indicated that the combination of fragmented QRS complex and left ventricular hypertrophy was superior to either of the individual indicator in predicting the risk of VA. Conclusion Fragmented QRS complex and left ventricular hypertrophy are independent risk factors for the occurrence of VA in patients with PH. The combination of the two is superior to either of the individual indicator in predicting the risk of VA.
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