ft3/ft4 ratio predicts non-alcoholic fatty liver disease independent of metabolic parameters in patients with euthyroidism and hypothyroidism
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2016
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Abstract
OBJECTIVE: This study was performed to evaluate the effects of metabolic parameters and thyroid dysfunction on the development of non-alcoholic fatty liver disease (NAFLD). METHODS: The current study evaluated a total of 115 patients, 75 female and 40 male. Physical examination and anthropometric measurements were applied to all participants. Hypothyroidism was considered at a thyroid stimulating hormone level ≥ 4.1 mIU/L. Patients with euthyroidism and patients with hypothyroidism were compared. Abdominal ultrasonography was used to diagnose non-alcoholic fatty liver disease. The participants were further compared with regard to the presence of non-alcoholic fatty liver disease. Logistic regression modeling was performed to identify the relationship between non-alcoholic fatty liver disease and independent variables, such as metabolic parameters and insulin resistance. RESULTS: Non-alcoholic fatty liver disease was identified in 69 patients. The mean waist circumference, body mass index, fasting plasma insulin, HOMA-IR (p<0.001) and FT3/FT4 ratio (p=0.01) values were significantly higher in the patients with NAFLD compared to those without it. Multivariate regression analysis revealed that FT3/FT4 ratio, waist circumference and insulin resistance were independent risk factors for non-alcoholic fatty liver disease. CONCLUSION: Insulin resistance, enlarged waist circumference, elevated body mass index, higher FT3/FT4 ratio and hypertriglyceridemia are independent risk factors for NADLF, whereas hypothyroidism is not directly related to the condition.Reference Key |
gkmen2016clinicsft3/ft4
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Authors | ;Fatma Yahyaoğlu Gökmen;Süleyman Ahbab;Hayriye Esra Ataoğlu;Betül Çavuşoğlu Türker;Faik Çetin;Fatih Türker;Rabia Yahyaoğlu Mamaç;Mustafa Yenigün |
Journal | icitacee 2015 - 2nd international conference on information technology, computer, and electrical engineering: green technology strengthening in information technology, electrical and computer engineering implementation, proceedings |
Year | 2016 |
DOI | 10.6061/clinics/2016(04)08 |
URL | |
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