Electrocardiography in hypertensive patients without cardiovascular events: a valuable predictor tool?
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/35370 |
Resumo: | 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 speci city, used in evaluation of hypertensive patients. However, the use of ECG as a predictor tool is controversial given its low sensitivity. is 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 identi ed 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 signi cance for the presence of a LV strain pattern in patients with CV events (p 0.01). Univariate and multivariate analysis con rmed 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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Electrocardiography in hypertensive patients without cardiovascular events: a valuable predictor tool?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 speci city, used in evaluation of hypertensive patients. However, the use of ECG as a predictor tool is controversial given its low sensitivity. is 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 identi ed 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 signi cance for the presence of a LV strain pattern in patients with CV events (p 0.01). Univariate and multivariate analysis con rmed 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.Hindawi2022-11-30T16:24:04Z2022-01-01T00:00:00Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/35370eng2090-038410.1155/2022/7038894Ricardo Pires, J.Teixeira, M.Ferreira, F.Viseu, I.Afreixo, V.Neves, C.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:07:59Zoai:ria.ua.pt:10773/35370Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:06:21.841160Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Electrocardiography in hypertensive patients without cardiovascular events: a valuable predictor tool? |
title |
Electrocardiography in hypertensive patients without cardiovascular events: a valuable predictor tool? |
spellingShingle |
Electrocardiography in hypertensive patients without cardiovascular events: a valuable predictor tool? Ricardo Pires, J. |
title_short |
Electrocardiography in hypertensive patients without cardiovascular events: a valuable predictor tool? |
title_full |
Electrocardiography in hypertensive patients without cardiovascular events: a valuable predictor tool? |
title_fullStr |
Electrocardiography in hypertensive patients without cardiovascular events: a valuable predictor tool? |
title_full_unstemmed |
Electrocardiography in hypertensive patients without cardiovascular events: a valuable predictor tool? |
title_sort |
Electrocardiography in hypertensive patients without cardiovascular events: a valuable predictor tool? |
author |
Ricardo Pires, J. |
author_facet |
Ricardo Pires, J. Teixeira, M. Ferreira, F. Viseu, I. Afreixo, V. Neves, C. |
author_role |
author |
author2 |
Teixeira, M. Ferreira, F. Viseu, I. Afreixo, V. Neves, C. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Ricardo Pires, J. Teixeira, M. Ferreira, F. Viseu, I. Afreixo, V. Neves, C. |
description |
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 speci city, used in evaluation of hypertensive patients. However, the use of ECG as a predictor tool is controversial given its low sensitivity. is 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 identi ed 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 signi cance for the presence of a LV strain pattern in patients with CV events (p 0.01). Univariate and multivariate analysis con rmed 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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-30T16:24:04Z 2022-01-01T00:00:00Z 2022 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/35370 |
url |
http://hdl.handle.net/10773/35370 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2090-0384 10.1155/2022/7038894 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Hindawi |
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Hindawi |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137718903504896 |