Pregled bibliografske jedinice broj: 361471
A NEW AVENUE FOR ASSESSING CARDIOVASCULAR RISK - HOMOCYSTEINE AS A RISK FACTOR
A NEW AVENUE FOR ASSESSING CARDIOVASCULAR RISK - HOMOCYSTEINE AS A RISK FACTOR // 77. kongres Europskih društava za aterosklerozu Atherosclerosis, supplement, Vol 9/1
Istanbul, Turska, 2008. (poster, međunarodna recenzija, sažetak, stručni)
CROSBI ID: 361471 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A NEW AVENUE FOR ASSESSING CARDIOVASCULAR RISK - HOMOCYSTEINE AS A RISK FACTOR
Autori
L. Majnaric, B. Vitale, M. Martinis, Z. Ebling
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, stručni
Izvornik
77. kongres Europskih društava za aterosklerozu Atherosclerosis, supplement, Vol 9/1
/ - , 2008
Skup
77. kongres Europskih društava za aterosklerozu
Mjesto i datum
Istanbul, Turska, 26.04.2008. - 29.04.2008
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
hyperhomocysteinemia; cardiovascular risk factor;
(hyperhomocysteinemia; cardiovascular risk factor.)
Sažetak
Background and aims: Mild hyperhomocysteinemia (>12 mM) is considered as a risk factor for many age-associated phenotypes, including: atherosclerosis, thrombosis, depression, neurodegenerative diseases and cancer. In parallel, it may be due many underlying causes, all impairments with increasing age, such as: B-vitamins deficiency, chronic gastritis, chronic renal failure, other chronic conditions and medical treatment, as well. The aim was to shed more light upon these complex relationships, involving hyperhomocysteinemia, and to suggest a new avenue for assessing cardiovascular risk. Methods: Total of 93 volunters, general medicine patients, 50-89 years old, were enrolled in the study. They were divided in two subgroups, depending on whether their homocysteine levels were above or below the median value (>11.8 mM). Data, such as: age, sex, physician`s diagnoses of the main diseases, antropometric measures, medical treatment, hemathological and biochemical tests, 40 parameters in total, were used to describe their health status. Data were analysed by using Data-Mining methodology, applicable to find patterns (models) in a Data-Base. Results: Six best descriptors (a cluster) of the health status of subjects with mild hyperhomocysteinemia were extracted. By additional models, derived from this basic one, cluster was further branched out. In such way, the pattern of disorders, linking: folic acid and vitamin B12 deficiency, low creatinine clearance, neuropsychiatric and gastroduodenal disorders, hypothyreoidism and hyperhomocysteinemia, could be constructed. Conclusion: This approach indicates that wider background of common aging disorders and clustering of data are to be considered when assess cardiovascular risk.
Izvorni jezik
Engleski
POVEZANOST RADA
Ustanove:
Medicinski fakultet, Osijek