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RESEARCH PRODUCT
Clinical and biochemical determinants of the extent of liver steatosis in type 2 diabetes mellitus
Sacerdoti DavidAlessandra CosmaAnna CoracinaNicola VeroneseSilvia GaianiPaolo TessariDiego CecchetPaolo PellizzariClaudio Pizzisubject
Malenonalcoholic fatty liver diseasemedicine.medical_specialtytype 2 diabetes mellitusmedicine.medical_treatmentSettore MED/50 - Scienze Tecniche Mediche ApplicateGastroenterologyleptinliver steatosispredictive modelInsulin resistanceNon-alcoholic Fatty Liver DiseaseInternal medicineinsulin resistanceNonalcoholic fatty liver diseasemedicineHumansInsulinAdiposityAgedUltrasonographyvisceral adiposityGlycated HemoglobinMetabolic SyndromeSettore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e FinanziarieModels StatisticalAnthropometryHepatologybusiness.industryInsulinHemoglobin A1c; insulin resistance; leptin; liver steatosis; metabolic control; multiple regression analysis; nonalcoholic fatty liver disease; predictive model; type 2 diabetes mellitus; visceral adiposity;GastroenterologyType 2 Diabetes MellitusHemoglobin A1c; insulin resistance; leptin; liver steatosis; metabolic control; multiple regression analysis; nonalcoholic fatty liver disease; predictive model; type 2 diabetes mellitus; visceral adiposity; Gastroenterology; Hepatologymetabolic controlmultiple regression analysisMiddle AgedHepatologymedicine.diseaseEndocrinologyDiabetes Mellitus Type 2Hemoglobin A1cMetabolic control analysisFemaleWaist CircumferenceSteatosisMetabolic syndromebusinesshemoglobin A1c leptin liver steatosis metabolic control multiple regression analysis nonalcoholic fatty liver disease insulin resistance predictive model type 2 diabetes mellitus visceral adipositydescription
Objective Nonalcoholic fatty liver disease is very frequent in both type 2 diabetes mellitus (T2DM) and the metabolic syndrome (MS), which share clinical and metabolic characteristics. Whether and to which extent these characteristics can predict the degree of liver steatosis are not entirely clear. Patients and methods We determined liver fat (divided into four classes) by standard sonographic images, and clinical and biochemical variables, in 60 consecutive patients with T2DM and with features of the MS. We examined both simple and multiple correlations between the degree of liver steatosis and the variables measured. Results Increased liver fat (defined as >5% of liver mass) was detected in 88% of the participants. Using simple regression analysis, the class of steatosis correlated positively with BMI, waist, number of factors of the MS, sex (female > male), diastolic blood pressure, insulin resistance, metabolic control, inflammation, C-reactive protein, fibrinogen, and leptin, whereas it correlated negatively with high-density lipoprotein-cholesterol. Using multiple regression analysis, only metabolic control, insulin resistance and/or plasma insulin, and waist, remained correlated significantly with the degree of steatosis. Using an ordered probit statistical model, metabolic control, waist, and insulin concentration predicted the steatosis class in 58% of the cases (¡Ü97% with allowance for one class in either excess or deficit). Conclusion In patients with T2DM, the extent of liver steatosis is correlated with variables associated with metabolic control and features of the MS. The combination of metabolic control, visceral obesity, and insulin resistance may reasonably predict the degree of liver steatosis in T2DM. © 2015 Wolters Kluwer Health, Inc. All rights reserved.
year | journal | country | edition | language |
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2015-01-01 |