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001-es BibID:BIBFORM102018
035-os BibID:(cikkazonosító)2872 (WoS)000803149000001 (Scopus)85130240685
Első szerző:Kovács Beáta (belgyógyász)
Cím:The Importance of Arterial Stiffness Assessment in Patients with Familial Hypercholesterolemia / Beáta Kovács, Orsolya Cseprekál, Ágnes Diószegi, Szabolcs Lengyel, László Maroda, György Paragh, Mariann Harangi, Dénes Páll
Dátum:2022
ISSN:2077-0383
Megjegyzések:Cardiovascular diseases are still the leading cause of mortality due to increased atherosclerosis worldwide. In the background of accelerated atherosclerosis, the most important risk factors include hypertension, age, male gender, hereditary predisposition, diabetes, obesity, smoking and lipid metabolism disorder. Arterial stiffness is a firmly established, independent predictor of cardiovascular risk. Patients with familial hypercholesterolemia are at very high cardiovascular risk. Non-invasive measurement of arterial stiffness is suitable for screening vascular dysfunction at subclinical stage in this severe inherited disorder. Some former studies found stiffer arteries in patients with familial hypercholesterolemia compared to healthy controls, while statin treatment has a beneficial effect on it. If conventional drug therapy fails in patients with severe familial hypercholesterolemia, PCSK9 inhibitor therapy should be administered; if these agents are not available, performing selective LDL apheresis could be considered. The impact of recent therapeutic approaches on vascular stiffness is not widely studied yet, even though the degree of accelerated athero and arteriosclerosis correlates with cardiovascular risk. The authors provide an overview of the diagnosis of familial hypercholesterolemia and the findings of studies on arterial dysfunction in patients with familial hypercholesterolemia, in addition to presenting the latest therapeutic options and their effects on arterial elasticity parameters.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
PCSK9 inhibitor monoclonal antibody
arterial stiffness
familial hypercholesterolemia
selective LDL apheresis
Megjelenés:Journal of Clinical Medicine. - 11 : 10 (2022), p. 1-14. -
További szerzők:Cseprekál Orsolya (1983-) (Orvos) Diószegi Ágnes (1987-) (belgyógyász) Lengyel Szabolcs (1981-) (belgyógyász) Maroda László (1979-) (gyógyszerész) Paragh György (1953-) (belgyógyász) Harangi Mariann (1974-) (belgyógyász, endokrinológus) Páll Dénes (1967-) (belgyógyász, kardiológus)
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001-es BibID:BIBFORM102878
035-os BibID:(cikkazonosító)4311 (Wos)000839128300001 (Scopus)85136936484
Első szerző:Németh Ákos (gyógyszer-vegyészmérnök, közgazdász)
Cím:Identifying Patients with Familial Chylomicronemia Syndrome Using FCS Score-Based Data Mining Methods / Németh Ákos, Harangi Mariann, Daróczy Bálint, Juhász Lilla, Paragh György, Fülöp Péter
Dátum:2022
ISSN:2077-0383
Megjegyzések:Background: There are no exact data about the prevalence of familial chylomicronemia syndrome (FCS) in Central Europe. We aimed to identify FCS patients using either the FCS score proposed by Moulin et al. or with data mining, and assessed the diagnostic applicability of the FCS score. Methods: Analyzing medical records of 1,342,124 patients, the FCS score of each patient was calculated. Based on the data of previously diagnosed FCS patients, we trained machine learning models to identify other features that may improve FCS score calculation. Results: We identified 26 patients with an FCS score of ?10. From the trained models, boosting tree models and support vector machines performed the best for patient recognition with overall AUC above 0.95, while artificial neural networks accomplished above 0.8, indicating less efficacy. We identified laboratory features that can be considered as additions to the FCS score calculation. Conclusions: The estimated prevalence of FCS was 19.4 per million in our region, which exceeds the prevalence data of other European countries. Analysis of larger regional and country-wide data might increase the number of FCS cases. Although FCS score is an excellent tool in identifying potential FCS patients, consideration of some other features may improve its accuracy.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
data mining
familial chylomicronemia syndrome
FCS score
machine learning
screening
Megjelenés:Journal of Clinical Medicine. - 11 (2022), p. 1-14. -
További szerzők:Harangi Mariann (1974-) (belgyógyász, endokrinológus) Daróczy Bálint (1984-) (informatikus, matematikus) Juhász Lilla (1990-) (általános orvos) Paragh György (1953-) (belgyógyász) Fülöp Péter (1974-) (belgyógyász, endokrinológus, lipidológus)
Pályázati támogatás:GINOP-2.3.2-15-2016-00005
GINOP
Bridging Fund
Egyéb
MTA Premium Postdoctoral Grant 2018
MTA
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
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