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. 2024 Nov 7;15:1383345. doi: 10.3389/fendo.2024.1383345

Table 3.

Multivariate Cox regression model determining the association between glycemic indices variability and incidence of retinopathy.

p-value Hazard ratio 95% confidence interval
CV-FBS 0.003 12.289 2.359 64.008
CV-2HPP 0.467 0.536 0.100 2.878
CV-HbA1c 0.095 4.770 0.763 29.823
CV-cholesterol 0.003 36.592 3.354 399.245
CV-HDL 0.024 13.659 1.400 133.290
CV-LDL 0.042 1.138 1.021 1.934
CV-TG 0.882 0.909 0.258 3.205
CV-SBP 0.919 1.090 0.206 5.769
CV-DBP 0.548 0.512 0.058 4.552
CV-Creatinine 0.019 4.238 1.262 14.234
CV-Albuminuria 0.348 1.228 0.800 1.887
CV-Uric acid 0.284 1.546 0.696 3.431
CV-weight 0.805 1.094 0.538 2.223
Association between incidence of retinopathy and glycemic indices variability
Odds ratio 95% confidence interval p-value
CVFBS5% 1.036 0.108–9.925 0.975
CVFBS10% 2.522 1.320–4.819 0.003
CVFBS20% 1.454 1.232–1.715 <0.001
CV2HPP5% 0.999 0.997–1.001 0.557
CV2HPP10% 3.224 1.988–10.528 0.039
CV2HPP20% 1.157 0.955–1.401 0.129
CVHBA1c5% 1.981 1.163–3.372 0.009
CVHBA1c10% 1.115 0.978–1.271 0.093
CVHBA1c20% 0.996 0.975–1.017 0.689

FBS, fasting blood sugar; 2hpp, 2-h post-prandial blood glucose level; HbA1C, hemoglobin A1c; HDL, high-density lipoprotein; LDL, low-density lipoprotein; TG, triglyceride; BMI, body mass index.