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Normal limits of the electrocardiogram in Angolans
Mauer A A Gonçalves1, João Mário Pedro2, Carina Silva3
1Centro de Estudos Avançados em Educação e Formação Médica (CEDUMED), Luanda, Angola; Faculty of Medicine from University Agostinho Neto, Luanda, Angola; Centro de Investigação em Saúde de Angola (CISA), Caxito, Bengo, Angola.
This study establishes normal electrocardiogram (ECG) limits for Angolan adults, revealing significant variations by age and sex. These findings provide crucial reference ranges for ECG interpretation in this population.
Area of Science:
- Cardiology
- Public Health
- Population Studies
Background:
- Limited data exists on normal electrocardiogram (ECG) limits in African populations, particularly in sub-Saharan Africa.
- No specific literature details normal ECG limits for Angolan adults.
Purpose of the Study:
- To determine the normal electrocardiogram (ECG) limits for adult Angolans.
- To stratify these normal ECG limits by gender and age in individuals without pre-existing heart disease.
Main Methods:
- A cross-sectional study of 2179 healthy adult Angolans (aged 15-74) was conducted.
- Standard 12-lead ECGs and rhythm strips were recorded and analyzed using University of Glasgow software and the Minnesota Code.
- Normal ranges were defined by the 2nd and 98th percentiles, with statistical analysis including Mann-Whitney, Kruskal-Wallis tests, Bonferroni adjustments, and GAMLSS models for age-dependent curves.
Main Results:
- Significant differences in normal ECG ranges were observed between men and women.
- Specific ranges were established for heart rate, P wave duration, PR interval, QRS duration, QT interval, P-wave axis, QRS-wave axis, T-wave axis, Sokolow-Lyon index, and Cornell index, varying by sex.
- Age-dependent variations were also identified, necessitating age-specific reference values.
Conclusions:
- The established ECG parameter ranges serve as a vital reference for Angolan adults without heart disease.
- Normal ECG ranges are influenced by both age and sex.
- ECG diagnostic criteria should be tailored to specific demographic factors (age and sex) for accurate interpretation in the Angolan population.
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