BioMed Research International / 2019 / Article / Tab 3

Research Article

Evaluation of Metabolic Syndrome and Its Associated Risk Factors in Type 2 Diabetes: A Descriptive Cross-Sectional Study at the Komfo Anokye Teaching Hospital, Kumasi, Ghana

Table 3

Cut-off values of selected variables and their ability to predict metabolic syndrome defined by the NCEP-ATP III criteria.

VariableCut-off levelSensitivity95%CISpecificity95%CIAUC

Age (years)>5370.365.3 - 74.939.524.0 - 56.60.504
Duration (years)>544.139.0 - 49.468.451.3 - 82.50.562
FBG (mmol L−1)>8.348.543.3 - 53.763.246.0 - 78.20.543
HbA1c (%)>5.4391.087.6 - 93.726.313.4 - 43.10.592
Triglyceride (μmol L−1)>1.7168.963.9 - 73.697.486.2 - 99.90.879
HDL-c (mmol L−1)≤0.9526.422.0 - 31.3100.090.7 - 100.00.671
BMI (kg m−2)>24.876.071.3 - 80.371.154.1 - 84.60.811
WC (cm)>9573.668.7 - 78.089.575.2 - 97.10.874
HC (cm)>10158.953.6 - 63.986.871.9 - 95.60.777
WHR>0.95859.153.9 - 64.276.359.8 - 88.60.713

HbA1c: glycated haemoglobin; FPG: Fasting Plasma Glucose; BMI: body mass index; WC: waist circumference; HC: hip circumference; WHR: waist to hip ratio; HDL-c: high density lipoprotein cholesterol. Almost all variables were likely to predict MS, with the main being triglyceride, Waist Circumference and BMI.

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