Evidence map›Paper›PMID 37623358›Full record

ArticleJournal of cardiovascular development and disease2023

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

Beáta Kovács, Ákos Németh, Bálint Daróczy, Zsolt Karányi, László Maroda, Ágnes Diószegi, Mariann Harangi, Dénes Páll

Abstract read
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Article in Journal of cardiovascular development and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Beáta KovácsDivision of Metabolic Diseases, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
Ákos NémethDivision of Metabolic Diseases, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
Bálint DaróczyInstitute for Computer Science and Control (SZTAKI), Hungarian Research Network, H-1111 Budapest, Hungary.ORCID 0000-0001-6233-3490
Zsolt KarányiDivision of Metabolic Diseases, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
László MarodaDepartment of Medical Clinical Pharmacology, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
Ágnes DiószegiDivision of Metabolic Diseases, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
Mariann HarangiDivision of Metabolic Diseases, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.ORCID 0000-0001-9761-9595
Dénes PállDepartment of Medical Clinical Pharmacology, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.

Funding

National Research, Development and Innovation Office - NKFIH K142273
6 · The paper itself

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.

Indexed as

cardiometabolicdata miningdyslipidaemiahypertensionhyperuricemiametabolic parametersobesityprevalencestatin

Identifiers

PMID37623358
PMCPMC10455679

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.