Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/28913
Title: Prediction of insulin resistance in type 2 diabetes mellitus using routinely available clinical parameters
Authors: Magri, Caroline Jane
Fava, Stephen
Galea, Joseph
Keywords: Insulin resistance
Cardiovascular system -- Diseases -- Risk factors
Diabetes Mellitus, Type 2
Issue Date: 2016
Publisher: Elsevier
Citation: Magri, C. J., Fava, S., & Galea, J. (2016). Prediction of insulin resistance in type 2 diabetes mellitus using routinely available clinical parameters. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 10(2), S96-S101.
Abstract: AIMS: To determine if insulin resistance (IR), an important predictor of cardiovascular risk in the general population and in type 2 diabetes mellitus, can be assessed using simple parameters which are readily available in clinical practice. METHODS: This cross-sectional study included 194 patients with type 2 diabetes. Body mass index, waist index (WI), triglyceride levels, 1/HDL, triglyceride/HDL, uric acid and urine albumin:creatinine ratio were investigated as possible predictors of IR. RESULTS: WI correlated more strongly than any other parameter with log insulin levels, log fasting glucose to insulin ratio (FGIR), log fasting glucose to insulin product (FGIP), homeostatic model assessment (HOMA-IR) and quantitative insulin check index (QUICKI). WI also emerged as the strongest independent predictor of IR indices studied in regression as well as in ROC analyses. At a cut-off of 1.115, WI had a 78% sensitivity and 65% specificity for predicting IR when HOMA-IR was used as indicator of IR, and 74% sensitivity and specificity when QUICKI was used as indicator of IR. Combining WI with other variables did not improve performance significantly. CONCLUSIONS: In our cohort of patients with type 2 diabetes, WI was the parameter with the strongest association with, and the best predictor of, IR.
URI: https://www.um.edu.mt/library/oar//handle/123456789/28913
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Scholarly Works - FacM&SSur

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