BACKGROUND: To assess the influence of electrocardiographic (ECG) pattern on prognosis and complications of patients hospitalized with acute pulmonary embolism (APE). METHODS: We performed a retrospective analysis of 292 patients who had confirmed APE. There were 183 females and 109 males, the age range was 17 to 89 years, and the mean age was 65.4 ± 15.5 years. RESULTS: In our study group, there were 33 deaths (mortality rate, 11.3%), and 73 (25%) patients developed complications during hospitalization. Based on European Society of Cardiology risk stratification, we classified 75 (25.7%) patients as high risk, 163 (55.8%) patients as intermediate risk, and 54 (18.5%) patients as low risk. A comparison between patients with complicated APE and those with no complications during hospitalization indicated that the following ECG parameters were more common in patients who had complications: atrial fibrillation, S1Q3T3 sign, negative T waves in leads V2-V4, ST segment depression in leads V4-V6, ST segment elevation in leads III, V1 and aVR, qR in lead V1, complete right bundle branch block (RBBB), greater number of leads with negative T waves, and greater sum of the amplitude of negative T waves. In multivariate analysis, the sum of negative T waves (OR 0.88; p = 0.22), number of leads with negative T waves (OR 1.46; p = 0.001), RBBB (OR 2.87; p = 0.02) and ST segment elevation in leads V1 (OR 3.99; p = 0.00017) and aVR (OR 2.49; p = 0.011) were independent predictors of complications during hospitalization. In turn, in multivariate analysis, only the sum of negative T waves (OR 0.81; p = 0.0098), number of leads with negative T waves [OR 1.68; p = 0.00068] and ST segment elevation in lead V1 (OR 4.47; p = 0.0003) were independent predictors of death during hospitalization. CONCLUSIONS: In our population of APE patients, the sum of negative T waves, the number of leads with negative T waves and the ST segment elevation in lead V1 were independent predictors of death during hospitalization. In turn, the sum of negative T waves, the number of leads with negative T waves, and RBBB and ST segment elevation in leads V1 and aVR were independent predictors of complications during hospitalization. We conclude that ECG analysis may be a useful noninvasive method for risk stratification of patients with APE.
BACKGROUND: To assess the influence of electrocardiographic (ECG) pattern on prognosis and complications of patients hospitalized with acute pulmonary embolism (APE). METHODS: We performed a retrospective analysis of 292 patients who had confirmed APE. There were 183 females and 109 males, the age range was 17 to 89 years, and the mean age was 65.4 ± 15.5 years. RESULTS: In our study group, there were 33 deaths (mortality rate, 11.3%), and 73 (25%) patients developed complications during hospitalization. Based on European Society of Cardiology risk stratification, we classified 75 (25.7%) patients as high risk, 163 (55.8%) patients as intermediate risk, and 54 (18.5%) patients as low risk. A comparison between patients with complicated APE and those with no complications during hospitalization indicated that the following ECG parameters were more common in patients who had complications: atrial fibrillation, S1Q3T3 sign, negative T waves in leads V2-V4, ST segment depression in leads V4-V6, ST segment elevation in leads III, V1 and aVR, qR in lead V1, complete right bundle branch block (RBBB), greater number of leads with negative T waves, and greater sum of the amplitude of negative T waves. In multivariate analysis, the sum of negative T waves (OR 0.88; p = 0.22), number of leads with negative T waves (OR 1.46; p = 0.001), RBBB (OR 2.87; p = 0.02) and ST segment elevation in leads V1 (OR 3.99; p = 0.00017) and aVR (OR 2.49; p = 0.011) were independent predictors of complications during hospitalization. In turn, in multivariate analysis, only the sum of negative T waves (OR 0.81; p = 0.0098), number of leads with negative T waves [OR 1.68; p = 0.00068] and ST segment elevation in lead V1 (OR 4.47; p = 0.0003) were independent predictors of death during hospitalization. CONCLUSIONS: In our population of APE patients, the sum of negative T waves, the number of leads with negative T waves and the ST segment elevation in lead V1 were independent predictors of death during hospitalization. In turn, the sum of negative T waves, the number of leads with negative T waves, and RBBB and ST segment elevation in leads V1 and aVR were independent predictors of complications during hospitalization. We conclude that ECG analysis may be a useful noninvasive method for risk stratification of patients with APE.
Authors: Zhan Zhong-Qun; Yang Bo; Kjell C Nikus; Andrés Ricardo Pérez-Riera; Wang Chong-Quan; Wang Xian-Ming Journal: Ann Noninvasive Electrocardiol Date: 2013-11-08 Impact factor: 1.468
Authors: Geneviève C Digby; Piotr Kukla; Zhong-Qun Zhan; Carlos A Pastore; Ryszard Piotrowicz; Edgardo Schapachnik; Wojciech Zareba; Antonio Bayés de Luna; Piotr Pruszczyk; Adrian M Baranchuk Journal: Ann Noninvasive Electrocardiol Date: 2015-05 Impact factor: 1.468
Authors: Piotr Kukla; Dariusz A Kosior; Andrzej Tomaszewski; Katarzyna Ptaszyńska-Kopczyńska; Katarzyna Widejko; Robert Długopolski; Andrzej Skrzyński; Piotr Błaszczak; Kamil Fijorek; Marcin Kurzyna Journal: Ann Noninvasive Electrocardiol Date: 2017-02-18 Impact factor: 1.468