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Prevalence and determinants of electrocardiographic abnormalities in sub-Saharan African individuals with type 2 diabetes

AIM: This study assessed the prevalence and determinants of electrocardiographic abnormalities in a group of type 2 diabetes patients recruited from two referral centres in Cameroon. METHODS: A total of 420 patients (49% men) receiving chronic diabetes care at the Douala General and Yaoundé Central...

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Autores principales: Dzudie, Anastase, Choukem, Simeon-Pierre, Kamdem, Félicité, Doualla, Solange, Joko, Henry A, Lobe, Marielle EE, Mbouende, Yves M, Luma, Henry, Adam, Abdoul K, Kengne, Andre P, Gouking, Patricia, Dehayem, Mesmin, Mbanya, Jean-Claude, Kingue, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Clinics Cardive Publishing 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3721941/
https://www.ncbi.nlm.nih.gov/pubmed/22992779
http://dx.doi.org/10.5830/CVJA-2012-054
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author Dzudie, Anastase
Choukem, Simeon-Pierre
Kamdem, Félicité
Doualla, Solange
Joko, Henry A
Lobe, Marielle EE
Mbouende, Yves M
Luma, Henry
Adam, Abdoul K
Kengne, Andre P
Gouking, Patricia
Dehayem, Mesmin
Mbanya, Jean-Claude
Kingue, Samuel
author_facet Dzudie, Anastase
Choukem, Simeon-Pierre
Kamdem, Félicité
Doualla, Solange
Joko, Henry A
Lobe, Marielle EE
Mbouende, Yves M
Luma, Henry
Adam, Abdoul K
Kengne, Andre P
Gouking, Patricia
Dehayem, Mesmin
Mbanya, Jean-Claude
Kingue, Samuel
author_sort Dzudie, Anastase
collection PubMed
description AIM: This study assessed the prevalence and determinants of electrocardiographic abnormalities in a group of type 2 diabetes patients recruited from two referral centres in Cameroon. METHODS: A total of 420 patients (49% men) receiving chronic diabetes care at the Douala General and Yaoundé Central hospitals were included. Electrocardiographic abnormalities were investigated, identified and related to potential determinants, with logistic regressions. RESULTS: The mean age and median duration of diagnosis were 56.7 years and four years, respectively. The main electrocardiographic aberrations (prevalence %) were: T-wave abnormalities (20.9%), Cornell product left ventricular hypertrophy (16.4%), arrhythmia (16.2%), ischaemic heart disease (13.6%), conduction defects (11.9%), QTc prolongation (10.2%) and ectopic beats (4.8%). Blood pressure variables were consistently associated with all electrocardiographic abnormalities. Diabetes-specific factors were associated with some abnormalities only. CONCLUSIONS: Electrocardiographic aberrations in this population were dominated by repolarisation, conduction defects and left ventricular hypertrophy, and were more related to blood pressure than diabetes-specific factors.
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spelling pubmed-37219412013-08-07 Prevalence and determinants of electrocardiographic abnormalities in sub-Saharan African individuals with type 2 diabetes Dzudie, Anastase Choukem, Simeon-Pierre Kamdem, Félicité Doualla, Solange Joko, Henry A Lobe, Marielle EE Mbouende, Yves M Luma, Henry Adam, Abdoul K Kengne, Andre P Gouking, Patricia Dehayem, Mesmin Mbanya, Jean-Claude Kingue, Samuel Cardiovasc J Afr Cardiovascular Topics AIM: This study assessed the prevalence and determinants of electrocardiographic abnormalities in a group of type 2 diabetes patients recruited from two referral centres in Cameroon. METHODS: A total of 420 patients (49% men) receiving chronic diabetes care at the Douala General and Yaoundé Central hospitals were included. Electrocardiographic abnormalities were investigated, identified and related to potential determinants, with logistic regressions. RESULTS: The mean age and median duration of diagnosis were 56.7 years and four years, respectively. The main electrocardiographic aberrations (prevalence %) were: T-wave abnormalities (20.9%), Cornell product left ventricular hypertrophy (16.4%), arrhythmia (16.2%), ischaemic heart disease (13.6%), conduction defects (11.9%), QTc prolongation (10.2%) and ectopic beats (4.8%). Blood pressure variables were consistently associated with all electrocardiographic abnormalities. Diabetes-specific factors were associated with some abnormalities only. CONCLUSIONS: Electrocardiographic aberrations in this population were dominated by repolarisation, conduction defects and left ventricular hypertrophy, and were more related to blood pressure than diabetes-specific factors. Clinics Cardive Publishing 2012-11 /pmc/articles/PMC3721941/ /pubmed/22992779 http://dx.doi.org/10.5830/CVJA-2012-054 Text en Copyright © 2010 Clinics Cardive Publishing http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cardiovascular Topics
Dzudie, Anastase
Choukem, Simeon-Pierre
Kamdem, Félicité
Doualla, Solange
Joko, Henry A
Lobe, Marielle EE
Mbouende, Yves M
Luma, Henry
Adam, Abdoul K
Kengne, Andre P
Gouking, Patricia
Dehayem, Mesmin
Mbanya, Jean-Claude
Kingue, Samuel
Prevalence and determinants of electrocardiographic abnormalities in sub-Saharan African individuals with type 2 diabetes
title Prevalence and determinants of electrocardiographic abnormalities in sub-Saharan African individuals with type 2 diabetes
title_full Prevalence and determinants of electrocardiographic abnormalities in sub-Saharan African individuals with type 2 diabetes
title_fullStr Prevalence and determinants of electrocardiographic abnormalities in sub-Saharan African individuals with type 2 diabetes
title_full_unstemmed Prevalence and determinants of electrocardiographic abnormalities in sub-Saharan African individuals with type 2 diabetes
title_short Prevalence and determinants of electrocardiographic abnormalities in sub-Saharan African individuals with type 2 diabetes
title_sort prevalence and determinants of electrocardiographic abnormalities in sub-saharan african individuals with type 2 diabetes
topic Cardiovascular Topics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3721941/
https://www.ncbi.nlm.nih.gov/pubmed/22992779
http://dx.doi.org/10.5830/CVJA-2012-054
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