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Predictive values of serum uric acid and Alanine-aminotransferase for fatty liver index in Montenegrin population

Thumbnail
2019
3286.pdf (111.6Kb)
Autori
Klisić, Aleksandra
Kavarić, Nebojša
Ninić, Ana
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentu
Apstrakt
Alanine-aminotransferase (ALT) and uric acid cut-off levels used in non-alcoholic fatty liver disease (NAFLD) diagnosis are advised to be lowered. Due to contradictory results on the utility of both these biomarkers for NAFLD screening, we aimed to determine their cut-off levels that can be applied to Montenegrin population with the fatty liver disease. A total of 771 volunteers were enrolled. A fatty liver index (FLI) score ≥60 was used as proxy of NAFLD. The receiver operating characteristic curve analysis with the area under the curve (AUC) was used to determine the cut-off values of ALT and uric acid associated with FLI ≥60. ALT was independent predictor of FLI in both men and women, whereas serum uric acid was its independent predictor only in women. Lower cut-off levels of ALT are associated with the increased prevalence of NAFLD [i.e., ALT was 19 IU/L (AUC=0.746, sensitivity 63%, specificity 72%, P lt 0.001) in women and 22 IU/L (AUC=0.804, sensitivity 61%, specificity 95%, P lt... 0.001) in men]. The cut-off value for uric acid was 274 μmol/L (AUC=0.821, sensitivity 68%, specificity 82%, P lt 0.001) in women. Lower cut-off levels of ALT in both genders, and serum uric acid in females, can be reliable predictors of the FLI.

Ključne reči:
fatty liver / hyperuricemia / inflammation / obesity / transaminases
Izvor:
Journal of Medical Biochemistry, 2019
Izdavač:
  • Društvo medicinskih biohemičara Srbije, Beograd i Versita
Finansiranje / projekti:
  • Interaktivna uloga dislipidemije, oksidativnog stresa i inflamacije u aterosklerozi i drugim bolestima: genetički i biohemijski markeri (RS-175035)

DOI: 10.2478/jomb-2019-0001

ISSN: 1452-8258

WoS: 000478797600002

Scopus: 2-s2.0-85063750687
[ Google Scholar ]
9
7
URI
https://farfar.pharmacy.bg.ac.rs/handle/123456789/3288
Kolekcije
  • Radovi istraživača / Researchers’ publications
Institucija/grupa
Pharmacy
TY  - JOUR
AU  - Klisić, Aleksandra
AU  - Kavarić, Nebojša
AU  - Ninić, Ana
PY  - 2019
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/3288
AB  - Alanine-aminotransferase (ALT) and uric acid cut-off levels used in non-alcoholic fatty liver disease (NAFLD) diagnosis are advised to be lowered. Due to contradictory results on the utility of both these biomarkers for NAFLD screening, we aimed to determine their cut-off levels that can be applied to Montenegrin population with the fatty liver disease. A total of 771 volunteers were enrolled. A fatty liver index (FLI) score ≥60 was used as proxy of NAFLD. The receiver operating characteristic curve analysis with the area under the curve (AUC) was used to determine the cut-off values of ALT and uric acid associated with FLI ≥60. ALT was independent predictor of FLI in both men and women, whereas serum uric acid was its independent predictor only in women. Lower cut-off levels of ALT are associated with the increased prevalence of NAFLD [i.e., ALT was 19 IU/L (AUC=0.746, sensitivity 63%, specificity 72%, P lt 0.001) in women and 22 IU/L (AUC=0.804, sensitivity 61%, specificity 95%, P lt 0.001) in men]. The cut-off value for uric acid was 274 μmol/L (AUC=0.821, sensitivity 68%, specificity 82%, P lt 0.001) in women. Lower cut-off levels of ALT in both genders, and serum uric acid in females, can be reliable predictors of the FLI.
PB  - Društvo medicinskih biohemičara Srbije, Beograd i Versita
T2  - Journal of Medical Biochemistry
T1  - Predictive values of serum uric acid and Alanine-aminotransferase for fatty liver index in Montenegrin population
DO  - 10.2478/jomb-2019-0001
ER  - 
@article{
author = "Klisić, Aleksandra and Kavarić, Nebojša and Ninić, Ana",
year = "2019",
abstract = "Alanine-aminotransferase (ALT) and uric acid cut-off levels used in non-alcoholic fatty liver disease (NAFLD) diagnosis are advised to be lowered. Due to contradictory results on the utility of both these biomarkers for NAFLD screening, we aimed to determine their cut-off levels that can be applied to Montenegrin population with the fatty liver disease. A total of 771 volunteers were enrolled. A fatty liver index (FLI) score ≥60 was used as proxy of NAFLD. The receiver operating characteristic curve analysis with the area under the curve (AUC) was used to determine the cut-off values of ALT and uric acid associated with FLI ≥60. ALT was independent predictor of FLI in both men and women, whereas serum uric acid was its independent predictor only in women. Lower cut-off levels of ALT are associated with the increased prevalence of NAFLD [i.e., ALT was 19 IU/L (AUC=0.746, sensitivity 63%, specificity 72%, P lt 0.001) in women and 22 IU/L (AUC=0.804, sensitivity 61%, specificity 95%, P lt 0.001) in men]. The cut-off value for uric acid was 274 μmol/L (AUC=0.821, sensitivity 68%, specificity 82%, P lt 0.001) in women. Lower cut-off levels of ALT in both genders, and serum uric acid in females, can be reliable predictors of the FLI.",
publisher = "Društvo medicinskih biohemičara Srbije, Beograd i Versita",
journal = "Journal of Medical Biochemistry",
title = "Predictive values of serum uric acid and Alanine-aminotransferase for fatty liver index in Montenegrin population",
doi = "10.2478/jomb-2019-0001"
}
Klisić, A., Kavarić, N.,& Ninić, A.. (2019). Predictive values of serum uric acid and Alanine-aminotransferase for fatty liver index in Montenegrin population. in Journal of Medical Biochemistry
Društvo medicinskih biohemičara Srbije, Beograd i Versita..
https://doi.org/10.2478/jomb-2019-0001
Klisić A, Kavarić N, Ninić A. Predictive values of serum uric acid and Alanine-aminotransferase for fatty liver index in Montenegrin population. in Journal of Medical Biochemistry. 2019;.
doi:10.2478/jomb-2019-0001 .
Klisić, Aleksandra, Kavarić, Nebojša, Ninić, Ana, "Predictive values of serum uric acid and Alanine-aminotransferase for fatty liver index in Montenegrin population" in Journal of Medical Biochemistry (2019),
https://doi.org/10.2478/jomb-2019-0001 . .

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