Assessment of Hypertensive Patients' Complex Metabolic Status Using Data Mining Methods
Beáta Kovács1, Ákos Németh1, Bálint Daróczy2,3
1Division of Metabolic Diseases, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
Hypertension affects 32.2% of adults in Central and Eastern Europe, with associated metabolic issues like high BMI, triglycerides, glucose, and uric acid. Early detection and treatment are crucial for better outcomes.
Area of Science:
- Cardiology
- Metabolic Health
- Public Health
Background:
- Cardiovascular diseases (CVDs) are a leading global cause of mortality.
- Hypertension is a significant, yet preventable, risk factor for major cardiovascular events.
- A gap exists in comprehensive studies on the metabolic status of hypertensive patients in Central and Eastern Europe.
Purpose of the Study:
- To determine the prevalence of hypertension in Central and Eastern Europe.
- To identify associated metabolic abnormalities in hypertensive patients.
- To utilize data-mining methods for regional analysis.
Main Methods:
- Analysis of adult patient data (n = 937,249) from the University of Debrecen Clinical Center.
- Inclusion of a 20-year data period (2001-2021).
- Application of data-mining techniques to assess hypertension and metabolic parameters.
Main Results:
- A hypertension prevalence of 32.2% was calculated among the study population.
- Hypertensive patients exhibited higher body mass index (BMI), triglyceride, serum glucose, and uric acid levels.
- Lower HDL-C levels were observed in hypertensive adults aged 18-80.
Conclusions:
- The study confirms hypertension prevalence aligns with international data.
- Significant associations between hypertension and various metabolic alterations were identified.
- Emphasizes the importance of early recognition and treatment of cardiometabolic abnormalities to enhance patient quality of life and longevity.
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