2019
Markers of Atherosclerosis. Part 1, Serological Markers
TIBAUT, Miha; Martin CAPRNDA; Peter KUBATKA; Andreja SINKOVIC; Vanda VALENTOVA et al.Základní údaje
Originální název
Markers of Atherosclerosis. Part 1, Serological Markers
Autoři
TIBAUT, Miha; Martin CAPRNDA; Peter KUBATKA; Andreja SINKOVIC; Vanda VALENTOVA; Slavomira FILIPOVA; Katarina GAZDIKOVA; Ludovit GASPAR; Ioana MOZOS; Emmanuel E. EGOM; Luis RODRIGO; Peter KRUŽLIAK a Daniel PETROVIC
Vydání
HEART LUNG AND CIRCULATION, NEW YORK, ELSEVIER SCIENCE INC, 2019, 1443-9506
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30201 Cardiac and Cardiovascular systems
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.194
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14110/19:00108495
Organizační jednotka
Lékařská fakulta
UT WoS
EID Scopus
Klíčová slova anglicky
Biomarkers; Atherosderosis; High sensitivity C-reactive protein
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 16. 7. 2019 16:08, Soňa Böhmová
Anotace
V originále
Atherosclerosis is a major contributor to morbidity and mortality worldwide. With therapeutic consequences in mind, several risk scores are being used to differentiate individuals with low, intermediate or high cardiovascular (CV) event risk. The most appropriate management of intermediate risk individuals is still not known, therefore, novel biomarkers are being sought to help re-stratify them as low or high risk. This narrative review is presented in two parts. Here, in Part 1, we summarise current knowledge on serum (serological) biomarkers of atherosclerosis. Among novel biomarkers, high sensitivity C-reactive protein (hsCRP) has emerged as the most promising in chronic situations, others need further clinical studies. However, it seems that a combination of serum biomarkers offers more to risk stratification than either biomarker alone. In Part 2, we address genetic and imaging markers of atherosclerosis, as well as other developments relevant to risk prediction.
Návaznosti
| NV17-29701A, projekt VaV |
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