Dataset Information

Assessment of Hypertensive Patients' Complex Metabolic Status Using Data Mining Methods.

ABSTRACT: Cardiovascular diseases are among the leading causes of mortality worldwide. Hypertension is a preventable risk factor leading to major cardiovascular events. We have not found a comprehensive study investigating Central and Eastern European hypertensive patients' complex metabolic status. Therefore, our goal was to calculate the prevalence of hypertension and associated metabolic abnormalities using data-mining methods in our region. We assessed the data of adults who visited the University of Debrecen Clinical Center's hospital (n = 937,249). The study encompassed data from a period of 20 years (2001-2021). We detected 292,561 hypertensive patients. The calculated prevalence of hypertension was altogether 32.2%. Markedly higher body mass index values were found in hypertensive patients as compared to non-hypertensives. Significantly higher triglyceride and lower HDL-C levels were found in adults from 18 to 80 years old. Furthermore, significantly higher serum glucose and uric acid levels were measured in hypertensive subjects. Our study confirms that the calculated prevalence of hypertension is akin to international findings and highlights the extensive association of metabolic alterations. These findings emphasize the role of early recognition and immediate treatment of cardiometabolic abnormalities to improve the quality of life and life expectancy of hypertensive patients.

SUBMITTER: Kovacs B

PROVIDER: S-EPMC10455679 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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Assessment of Hypertensive Patients' Complex Metabolic Status Using Data Mining Methods.

Kovács Beáta B Németh Ákos Á Daróczy Bálint B Karányi Zsolt Z Maroda László L Diószegi Ágnes Á Harangi Mariann M Páll Dénes D

Journal of cardiovascular development and disease 20230813 8

Cardiovascular diseases are among the leading causes of mortality worldwide. Hypertension is a preventable risk factor leading to major cardiovascular events. We have not found a comprehensive study investigating Central and Eastern European hypertensive patients' complex metabolic status. Therefore, our goal was to calculate the prevalence of hypertension and associated metabolic abnormalities using data-mining methods in our region. We assessed the data of adults who visited the University of ...[more]

PMID: 37623358

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Dataset Information

Assessment of Hypertensive Patients' Complex Metabolic Status Using Data Mining Methods.

Publications

Assessment of Hypertensive Patients' Complex Metabolic Status Using Data Mining Methods.

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