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Electrocardiography in Hypertensive Patients without Cardiovascular Events: A Valuable Predictor Tool?
J Ricardo Pires1,2, M Teixeira1, F Ferreira1
1Internal Medicine Department, Centro Hospitalar Baixo Vouga, Aveiro, Portugal.
Insights
Electrocardiography (ECG) can identify left ventricular strain in hypertensive patients, predicting cardiovascular events. This accessible tool aids in early risk assessment for better patient outcomes.
Area of Science:
- Cardiology
- Clinical Diagnostics
- Hypertension Research
Background:
- Hypertension is a major risk factor for cardiovascular (CV) disease.
- Early detection of target organ damage in hypertensive patients is crucial for preventing CV events.
- Electrocardiography (ECG) is a widely available and specific tool for evaluating hypertensive patients, though its sensitivity as a predictor is debated.
Purpose of the Study:
- To characterize ECG features in a hypertensive population.
- To identify specific ECG abnormalities that can predict CV events in hypertensive individuals.
Main Methods:
- A cohort of 175 hypertensive patients without prior CV events was studied over a mean follow-up of 4.0 ± 2.20 years.
- ECG and pulse wave velocity (PWV) were performed on all participants.
- Clinical characteristics and ECG abnormalities were analyzed and compared between patients who experienced CV events and those who did not.
Main Results:
- Left ventricular (LV) hypertrophy was identified in 29.71% and a LV strain pattern in 9.7% of patients.
- A LV strain pattern on ECG was a statistically significant predictor of CV events (p=0.01).
- Multivariate analysis confirmed LV strain pattern as an independent predictor (HR 2.66, 95% CI 1.01-7.00), with worse prognosis shown in survival analysis (p=0.014).
Conclusions:
- ECG is a practical method for identifying end-organ damage in hypertensive patients.
- ECG findings, specifically LV strain pattern, can serve as a valuable tool for predicting future CV events in this population.
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.
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