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ORIGINAL RESEARCH

Relationship Between Cardiometabolic Index and Insulin Resistance in Patients with Type 2 Diabetes

& ORCID Icon
Pages 305-315 | Received 11 Nov 2023, Accepted 13 Jan 2024, Published online: 23 Jan 2024

Figures & data

Table 1 Baseline Characteristics of the T2DM Patients Stratified by Insulin Resistance and Gender

Table 2 Spearmen’s Correlation of CMI Levels with Clinical and Biochemical Parameters

Table 3 Association of the Insulin Resistance with CMI Quartiles

Figure 1 The smooth curve fit for the association between CMI and prevalence of IR. Solid redline represents the smooth curve fit between variables. Blue bands represent the 95% of confidence interval from the fit. Adjusted for: age, BMI, DD, hypoglycemic drugs, SBP, DBP, HbA1c, serum creatinine, serum albumin, uric acid, ALT, AST, GGT, drinking and smoking.

Figure 1 The smooth curve fit for the association between CMI and prevalence of IR. Solid redline represents the smooth curve fit between variables. Blue bands represent the 95% of confidence interval from the fit. Adjusted for: age, BMI, DD, hypoglycemic drugs, SBP, DBP, HbA1c, serum creatinine, serum albumin, uric acid, ALT, AST, GGT, drinking and smoking.

Table 4 Association Between CMI and Insulin Resistance Stratified by Age, BMI and Hypertension

Figure 2 Subgroups analysis for the association between CMI and prevalence of IR by gender, age, BMI and HbA1c level.

Figure 2 Subgroups analysis for the association between CMI and prevalence of IR by gender, age, BMI and HbA1c level.

Table 5 The Results of ROC Analysis of CMI, TG/HDL, WHtR, VAI, DAI, BMI, WC and Uric Acid for the Diagnosis of IR

Figure 3 Receiver operating characteristic curves of TG/HDL, WHtR, VAI, DAI, BMI, WC and uric acid to identify IR.

Figure 3 Receiver operating characteristic curves of TG/HDL, WHtR, VAI, DAI, BMI, WC and uric acid to identify IR.