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001-es BibID:	BIBFORM114423
035-os BibID:	(cikkazonosító)345 (WoS)001055818600001 (Scopus)85169136484
Első szerző:	Kovács Beáta (belgyógyász)
Cím:	Assessment of Hypertensive Patients' Complex Metabolic Status Using Data Mining Methods / Kovács Beáta, Németh Ákos, Daróczy Bálint, Karányi Zsolt, Maroda László, Diószegi Ágnes, Harangi Mariann, Páll Dénes
Dátum:	2023
ISSN:	2308-3425
Megjegyzések:	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.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk hypertension hyperuricemia dyslipidaemia metabolic parameters obesity prevalence statin data mining cardiometabolic
Megjelenés:	Journal of Cardiovascular Development and Disease. - 10 : 8 (2023), p. 1-14.
További szerzők:	Németh Ákos (1984-) (gyógyszer-vegyészmérnök, közgazdász) Daróczy Bálint (1984-) (informatikus, matematikus) Karányi Zsolt (1961-) (biostatisztikus, bioinformatikus) Maroda László (1979-) (gyógyszerész) Diószegi Ágnes (1987-) (belgyógyász) Harangi Mariann (1974-) (belgyógyász, endokrinológus) Páll Dénes (1967-) (belgyógyász, kardiológus)
Pályázati támogatás:	NKFIH K142273 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM107307
035-os BibID:	(cikkazonosító)295 (scopus)85138648829 (wos)000857586100001
Első szerző:	Nasr, Nayla Mohamed Gomaa
Cím:	Prognostic Modelling Studies of Coronary Heart Disease : A Systematic Review of Conventional and Genetic Risk Factor Studies / Nasr Nayla, Soltész Beáta, Sándor János, Adány Róza, Fiatal Szilvia
Dátum:	2022
ISSN:	2308-3425
Megjegyzések:	This study aims to provide an overview of multivariable prognostic modelling studies developed for coronary heart disease (CHD) in the general population and to explore the optimal prognostic model by comparing the models' performance. A systematic review was performed using Embase, PubMed, Cochrane, Web of Science, and Scopus databases until 30 November 2019. In this work, only prognostic studies describing conventional risk factors alone or a combination of conventional and genomic risk factors, being developmental and/or validation prognostic studies of a multivariable model, were included. A total of 4021 records were screened by titles and abstracts, and 72 articles were eligible. All the relevant studies were checked by comparing the discrimination, reclassification, and calibration measures. Most of the models were developed in the United States and Canada and targeted the general population. The models included a set of similar predictors, such as age, sex, smoking, cholesterol level, blood pressure, BMI, and diabetes mellitus. In this study, many articles were identified and screened for consistency and reliability using CHARM and GRIPS statements. However, the usefulness of most prognostic models was not demonstrated; only a limited number of these models supported clinical evidence. Unfortunately, substantial heterogeneity was recognized in the definition and outcome of CHD events. The inclusion of genetic risk scores in addition to conventional risk factors might help in predicting the incidence of CHDs; however, the generalizability of the existing prognostic models remains open. Validation studies for the existing developmental models are needed to ensure generalizability, improve the research quality, and increase the transparency of the study.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk systematic review coronary heart disease prognostic models genetic risk factors conventional risk factors
Megjelenés:	Journal of Cardiovascular Development and Disease. - 9 : 9 (2022), p. 1-21. -
További szerzők:	Soltész Beáta (1987-) (molekuláris biológus) Sándor János (1966-) (orvos-epidemiológus) Ádány Róza (1952-) (megelőző orvostan és népegészségtan szakorvos) Fiatal Szilvia (1978-) (epidemiológus, népegészségügyi szakember)
Pályázati támogatás:	GINOP-2.3.2-15-2016-00005 GINOP
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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