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.

Variable	Cut-off level	Sensitivity	95%CI	Specificity	95%CI	AUC
Age (years)	>53	70.3	65.3 - 74.9	39.5	24.0 - 56.6	0.504
Duration (years)	>5	44.1	39.0 - 49.4	68.4	51.3 - 82.5	0.562
FBG (mmol L^−1)	>8.3	48.5	43.3 - 53.7	63.2	46.0 - 78.2	0.543
HbA1c (%)	>5.43	91.0	87.6 - 93.7	26.3	13.4 - 43.1	0.592
Triglyceride (μmol L^−1)	>1.71	68.9	63.9 - 73.6	97.4	86.2 - 99.9	0.879
HDL-c (mmol L^−1)	≤0.95	26.4	22.0 - 31.3	100.0	90.7 - 100.0	0.671
BMI (kg m^−2)	>24.8	76.0	71.3 - 80.3	71.1	54.1 - 84.6	0.811
WC (cm)	>95	73.6	68.7 - 78.0	89.5	75.2 - 97.1	0.874
HC (cm)	>101	58.9	53.6 - 63.9	86.8	71.9 - 95.6	0.777
WHR	>0.958	59.1	53.9 - 64.2	76.3	59.8 - 88.6	0.713

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.