Estimation of the Burden of Ischemic Heart Disease in the Tabasco Population, Mexico, 2013–2021
Abstract
:1. Introduction
1.1. Ischemic Heart Disease
- Unstable Angina: Characterized by chest pain of recent onset, increasing in frequency, duration, or intensity in a patient with previous stable angina, or pain occurring at rest. In an electrocardiogram (ECG), unstable angina may show ST-segment depression or T-wave inversion, but without ST-segment elevation. There is no elevation of myocardial necrosis biomarkers [8].
- Non-ST-segment Elevation Myocardial Infarction (NSTEMI): Manifested by chest pain like that of unstable angina, but accompanied by elevated myocardial necrosis biomarkers such as troponin T and troponin I. An ECG may show ST-segment depression or T-wave inversion, but without ST-segment elevation [9].
- ST-segment Elevation Myocardial Infarction (STEMI): Presented with persistent and severe chest pain, and an ECG shows ST-segment elevation in at least two contiguous leads, with specific criteria depending on the patient’s age and sex. This type of infarction requires rapid intervention to restore coronary blood flow [8].
1.2. Essential Hypertension
1.3. Type 2 Diabetes Mellitus
1.4. Obesity
2. Materials and Methods
2.1. Study Design
2.2. Study Population
2.3. Data Collection and Preparation for Analysis
2.4. Calculation of Disability-Adjusted Life Years (DALYs)
2.5. Data Analysis
2.6. Ethical Considerations
2.7. Inclusion and Exclusion Criteria
- Unstable angina (DGIS I200)
- Unspecified angina pectoris (DGIS I209)
- Acute transmural myocardial infarction of the anterior wall (DGIS I210)
- Acute transmural myocardial infarction of the inferior wall (DGIS I211)
- Acute transmural myocardial infarction of other sites (DGIS I212)
- Acute transmural myocardial infarction of unspecified site (DGIS I213)
- Acute subendocardial myocardial infarction (DGIS I214)
- Acute myocardial infarction not otherwise specified (DGIS I219)
- Subsequent myocardial infarction of unspecified part (DGIS I229)
- Minors
- Records with incomplete or missing information
- Cases reported outside the 2013–2021 period
- Other forms of unspecified acute or chronic ischemic heart disease (DGIS I248, I249, I259, I258, I256, I255).
3. Results
3.1. Incidence and Mortality Trends
3.2. Survival Analysis
3.3. Disability-Adjusted Life Years (DALYs)
4. Discussion
5. Conclusions
Recommendations
- Incorporate risk stratification algorithms based on validated scales (SCORE2, Framingham) for the early identification of individuals at high risk.
- Expand coverage of ambulatory blood pressure and lipid profile monitoring in high-risk populations, ensuring their inclusion in national public health programs.
- Optimize therapeutic adherence through telemedicine systems and remote follow-up, integrating automated reminders for taking antihypertensive drugs and statins.
- Increase the tax burden on ultra-processed products that are high in sugars and saturated fats, with a budget allocation aimed at cardiovascular prevention programs.
- Regulate the advertising of calorie-dense foods to minors, following successful intervention models implemented in countries such as Chile and the United Kingdom.
- Expand front-end warning labeling, integrating cardiovascular risk indicators in products that are widely consumed in the Mexican diet.
- Train health personnel in the detection and management of risk factors through updated, evidence-based clinical practice guidelines (ESC, ACC/AHA).
- Implement an efficient referral and counter-referral system that guarantees continuity of care between first level units and high specialty hospitals.
- Promote the integration of community interventions through health promoters trained in cardiovascular prevention strategies.
- Incorporate the periodic calculation of DALYs and other disease burden indicators into national epidemiological surveillance systems, allowing the evaluation of trends and increasing the effectiveness of implemented interventions.
- Establish an observatory of chronic noncommunicable diseases with access to open databases for researchers and decision makers.
- Promote collaboration with academic institutions and international organizations for the implementation of population-based studies that analyze the effectiveness of preventive policies in different population subgroups.
6. Study Limitations
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Cárdenas-Anguiano, J.J.; Quiroz-Gomez, S.; Guzmán-Priego, C.G.; Celorio-Méndez, K.d.S.; Baños-González, M.A.; Jiménez-Sastré, A.; Baeza-Flores, G.d.C.; Albarran-Melzer, J.A. Estimation of the Burden of Ischemic Heart Disease in the Tabasco Population, Mexico, 2013–2021. Int. J. Environ. Res. Public Health 2025, 22, 423. https://doi.org/10.3390/ijerph22030423
Cárdenas-Anguiano JJ, Quiroz-Gomez S, Guzmán-Priego CG, Celorio-Méndez KdS, Baños-González MA, Jiménez-Sastré A, Baeza-Flores GdC, Albarran-Melzer JA. Estimation of the Burden of Ischemic Heart Disease in the Tabasco Population, Mexico, 2013–2021. International Journal of Environmental Research and Public Health. 2025; 22(3):423. https://doi.org/10.3390/ijerph22030423
Chicago/Turabian StyleCárdenas-Anguiano, Jesús Josué, Sergio Quiroz-Gomez, Crystell Gudalupe Guzmán-Priego, Karla del Socorro Celorio-Méndez, Manuel Alfonso Baños-González, Alejandro Jiménez-Sastré, Guadalupe del Carmen Baeza-Flores, and Jorda Aleiria Albarran-Melzer. 2025. "Estimation of the Burden of Ischemic Heart Disease in the Tabasco Population, Mexico, 2013–2021" International Journal of Environmental Research and Public Health 22, no. 3: 423. https://doi.org/10.3390/ijerph22030423
APA StyleCárdenas-Anguiano, J. J., Quiroz-Gomez, S., Guzmán-Priego, C. G., Celorio-Méndez, K. d. S., Baños-González, M. A., Jiménez-Sastré, A., Baeza-Flores, G. d. C., & Albarran-Melzer, J. A. (2025). Estimation of the Burden of Ischemic Heart Disease in the Tabasco Population, Mexico, 2013–2021. International Journal of Environmental Research and Public Health, 22(3), 423. https://doi.org/10.3390/ijerph22030423