Work

Electrocardiography in Hypertensive Patients without Cardiovascular Events: A Valuable Predictor Tool?

Year: 2022
Type: article
Study design: Observational Study
Abstract: Background . Hypertension is an important risk factor of cardiovascular (CV) disease. An early diagnosis of target organ damage could prevent major CV events. Electrocardiography (ECG) is a valuable clinical technique, with wide availability and high specificity, used in evaluation of hypertensive patients. However, the use of ECG as a predictor tool is controversial given its low sensitivity. This study aims to characterise ECG features in a hypertensive population and identify ECG abnormalities that could predict CV events. Methods . We studied 175 hypertensive patients without previous CV events during a follow‐up mean of 4.0 ± 2.20 years. ECGs and pulse wave velocity were performed in all patients. Clinical characteristics and ECG abnormalities were evaluated and compared between the patients as they presented CV events. Results . Considering the 175 patients (53.14% male), the median age was 62 years. Median systolic blood pressure was 140 mmHg and diastolic blood pressure was 78 mmHg. Median PWV was 9.8 m/s. Of the patients, 39.4% were diabetic, 78.3% had hyperlipidaemia, and 16.0% had smoking habits. ECG identified left ventricular (LV) hypertrophy in 29.71% of the patients, and a LV strain pattern was present in 9.7% of the patients. Twenty‐nine patients (16.57%) had a CV event. Comparative analyses showed statistical significance for the presence of a LV strain pattern in patients with CV events ( p = 0.01). Univariate and multivariate analysis confirmed that a LV strain pattern was an independent predictor of CV event (HR 2.66, 95% IC 1.01–7.00). In the survival analysis, the Kaplan–Meier curve showed a worse prognosis for CV events in patients with a LV strain pattern ( p = 0.014). Conclusion . ECG is a useful daily method to identify end‐organ damage in hypertensive patients. In our study, we also observed that it may be a valuable tool for the prediction of CV events.
Authors: J. Ricardo Pires, M. Teixeira, F. Ferreira, I. Viseu, V. Afreixo, C. Neves
Language: English
Field: Medicine
Open Access status: gold
Estimated APC paid: $1,790
OpenAlex ID: W4286423707
FWCI: 0.174
Cites: 20
Cited by: 1
Related to: 10