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. 2022 Oct 18;23(20):12481. doi: 10.3390/ijms232012481

Table 3.

Association between the severity of NAFLD at baseline and risk of developing worsening of glycaemic control at follow-up in postmenopausal women with type 2 diabetes.

Logistic Regression Models Odds Ratios (95% CI) p-Value
Unadjusted model
NAFLD and clinically significant fibrosis § 4.66 (1.07–20.3) 0.041
Adjusted model 1
NAFLD and clinically significant fibrosis 4.72 (1.07–20.7) 0.040
Age (years) 0.98 (0.91–1.06) 0.678
BMI (kg/m2) 0.99 (0.88–1.12) 0.866
Adjusted model 2
NAFLD and clinically significant fibrosis 4.70 (1.07–20.8) 0.041
Age (years) 0.99 (0.91–1.08) 0.724
BMI (kg/m2) 0.98 (0.87–1.11) 0.827
GLP-1 receptor agonist use 1.42 (0.21–10.1) 0.724
Adjusted model 3
NAFLD and clinically significant fibrosis 4.99 (1.14–21.9) 0.033
Age (years) 0.96 (0.88–1.05) 0.376
BMI (kg/m2) 0.99 (0.87–1.12) 0.942
SGLT-2 inhibitor use 0.12 (0.10–3.07) 0.198
Adjusted model 4
NAFLD and clinically significant fibrosis 4.11 (1.03–16.4) 0.045
Age (years) 0.99 (0.92–1.06) 0.744
BMI (kg/m2) 1.00 (0.89–1.11) 0.958
Pioglitazone use 1.21 (0.45–33.2) 0.907

Sample size, n = 61. Data are expressed as odds ratio and 95% confidence intervals (CI) as tested by logistic regression analyses. The presence of worsening of glycaemic control at follow-up (arbitrarily defined as HbA1c increase ≥ 0.5%) was the dependent variable in these logistic regression models. Covariates included in these regression models were recorded at baseline. § Clinically significant fibrosis was defined by LSM ≥ 7 kPa on Fibroscan®.