Pregled bibliografske jedinice broj: 1071223
Parameter identification in the mathematical model of glucose and insulin tolerance test – the mathematical markers of diabetes
Parameter identification in the mathematical model of glucose and insulin tolerance test – the mathematical markers of diabetes // Croatian operational research review, 11 (2020), 1; 121-133 doi:10.17535/crorr.2020.0010 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1071223 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Parameter identification in the mathematical
model of glucose and insulin tolerance test –
the mathematical markers of diabetes
Autori
Heffer, Marija ; Ivić, Vedrana ; Scitovski, Rudolf
Izvornik
Croatian operational research review (1848-0225) 11
(2020), 1;
121-133
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
glucose tolerance test ; insulin tolerance test ; mathematical model ; parameter identification
Sažetak
Glucose tolerance test (GTT) is standard diagnostic procedure that tests the efficiency of blood glucose-lowering hormones (insulin, incretins, leptin). Contrary, insulin tolerance test (ITT) is probing efficiency of blood glucose-rising hormones (glucagon, thyroxine, growth hormone, glucocorticoids, adrenalin, noradrenalin). These two hormone systems together maintain blood glucose levels in a narrow range. Various pathophysiological mechanisms give rise to a reversible condition - prediabetes which then progresses to an irreversible chronic disease - diabetes, both marked with deviation of blood glucose levels outside the set range. In diagnostic purpose, the patient is given glucose load, and blood glucose is measured right before and 2 hours after load. Measurements are more frequent after insulin injection (ITT) or if both tests are performed on experimental animals. In this paper we analyse the mathematical model for GTT and ITT. The obtained model function is an useful tool in describing the dynamics of blood glucose changes.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Temeljne medicinske znanosti
POVEZANOST RADA
Projekti:
HRZZ-IP-2016-06-6545 - Optimizacijski i statistički modeli i metode prepoznavanja svojstava skupova podataka izmjerenih s pogreškama (OSMoMeSIP) (OSMoMeSIP) (Scitovski, Rudolf, HRZZ ) ( CroRIS)
HRZZ-IP-2014-09-2324 - Patofiziološke posljedice promjena sastava lipidnih splavi (RafTuning) (Heffer, Marija, HRZZ - 2014-09) ( CroRIS)
Ustanove:
Medicinski fakultet, Osijek,
Sveučilište u Osijeku, Odjel za matematiku
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus
- EconLit