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Народна библиотека Србије, Београд
61
MD : Medical Data : medicinska revija = medical review / glavni i odgovorni urednik Dušan Lalošević. - Vol. 1, no. 1 (2009)- . - Zemun : Udruženje za kulturu povezivanja Most Art Jugoslavija ; Novi Sad : Pasterovo društvo, 2009- (Beograd : Scripta Internacional). - 30 cm

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ISSN 1821-1585 = MD. Medical Data
COBISS.SR-ID 158558988


UPOTREBA INDEKSA ZA PROCENU POREMEĆAJA GLIKOREGULACIJE I KARDIOMETABOLIČKOG RIZIKA /

USE OF INDICES FOR THE EVALUATION OF GLUCOREGULATORY IMPAIRMENTS AND THE ASSESSMENT OF CARDIOMETABOLIC RISK

Authors

 

Andrea Zubnar1, Borislav Tapavički1, Dejana Bajić2, Nada Naumović1, David Ivanov3, Đurđa Cvjetković1, Dea Karaba Jakovljević1

1University of Novi Sad, Faculty of Medicine, Department of Physiology, Novi Sad, Serbia
2University of Novi Sad, Faculty of Medicine, Department of Biochemistry Novi Sad, Serbia
3University of Novi Sad, Faculty of Medicine, Novi Sad, Serbia

 

UDK: 616-008.9


The paper was received / Rad primljen: 13.04.2021.

Accepted / Rad prihvaćen: 20.05.2021.

 


Correspondence to:


Andrea Zubnar, Doctor of Medicine
Teaching Assistant at Department of Physiology,
University of Novi Sad, Faculty of Medicine,
Department of Physiology,
Hajduk Veljkova 3,
21 137 Novi Sad, Serbia
Phone number: +381612432128
e-mail: andrea.zubnar@mf.uns.ac.rs

 

 

Sažetak

 

 

Metabolički sindrom predstavlja veliki problem današnjice i rizik za nastanak brojnih ozbiljnih oboljenja. Jedna od najvažnijih komponenti metaboličkog sindroma je insulinska rezistencija, te je neophodna adekvatna i pravovremena dijagnostika ovog stanja. Za procenu insulinske rezistencije mogu se koristiti različiti indeksi koji koriste laboratorijske, ali i antropometrijske parametre. Cilj ovog rada jeste ukazivanje na raznovrsnost i značaj ovih indeksa u ranom otkrivanju latentnih poremećaja metabolizma glukoze i kardiometaboličkog rizika. Kao osnovni test za otkrivanje poremećaja glikoregulacije je oralni glukoza tolerans test. Izračunavanjem indeksa moguće je ranije otkriti poremećaje metabolizma glukoze, ali je u njihovom računanju  neophodno uključiti više podataka poput nivoa insulina, lipidnog statusa, kao i antropometrijske parametre. Indeksi koji procenjuju glikoregulaciju a koriste podatke glikemije i insulinemije su HOMA indeksi, QUICK indeks, Matsuda i Stumvol indeksi. Pored toga postoje indeksi koji koriste podatke glikoregulacije kombinujući ih sa komponentama lipidnog statusa poput McAuley indeksa i TyG indeksa. Indeksi koji govore i o glikoregulaciji ali procenjuju i kardiometabolički rizik su VAI i LAP indeks. Kombinujući ove indekse stičemo daleko širu sliku o latentnim poremećajima metaboličkog sindroma, te se može mnogo više učiniti povodom prevencije oboljenja do kojih ovo stanje može dovesti.

 

 

 

Ključne reči:

metabolički sindrom, insulinska rezistencija, HOMA indeks

 

 

 

Abstract

The increasing incidence of metabolic syndrome represents one of the biggest health problems in today’s world and a risk factor for the occurence of other serious diseases. Insulin resistance is one of the crucial components of the metabolic syndrome and as such it requires an adequate and prompt diagnosis. Different indices based on laboratory and anthropometric parameters can be used to estimate the level of insulin resistance. The aim of this paper is to highlight the diversity and importance of these indices in the early detection of latent impairments in glucose metabolism and the assesment of cardiometabolic risk. Calculating some of the indices requires determining insulin level, lipid panel and anthropometric parameters. Indices that use glycemia and insulinemia are HOMA, QUICKI, Matsuda and Stumvoll indices. Indices that use a combination of glucoregulatory and lipid panel parameters to assess the degree of insulin resistance are the TyG and McAuley. VAI and LAP indices use lipid panel and anthropometric values to estimate the cardiometabolic risk. Using these indices together, we get a better insight into the impairments in glucose metabolism which may allow us to prevent the development of complications stemming from the metabolic syndrome.

 

 

 


Keywords:

metabolic syndrome, insulin resistance, HOMA index

 

 

 

 

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PDF05-MD-Vol 13 No 2 Jun 2021_Zubnar et al.

 

 

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