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. 2023 Jun 20;60(10):1351–1358. doi: 10.1007/s00592-023-02128-6

Table 5.

Multivariate linear regression analysis in the total sample for markers of renal function (eGFR and ACR) using clinical and glycemic parameters and the additive genetic interaction (PPARG + IGF1) as independent variables

Dependent variable Independent variables β-coefficient [95% CIs] p-value
eGFR (mL/min) Age −3.18 [−3.94 to −2.43]  < 0.001
Sex 7.39 [3.23 to 11.6] 0.001
T1D duration −0.30 [−0.93 to 0.33] 0.348
BMI z-score −1.24 [−3.56 to 1.06] 0.290
SBP percentile −0.03 [−0.11 to 0.06] 0.521
DBP percentile 0.06 [−0.05 to 0.17] 0.301
HbA1c 19.43 [1.49 to 37.38] 0.034
PPARG + IGF1 −3.59 [−6.52 to −0.66] 0.017
ACR (mg/mmol) Age −0.01 [−0.11 to 0.09] 0.803
Sex 0.59 [0.48 to 1.14] 0.033
T1D Duration −0.02 [−0.10 to 0.07] 0.717
BMI z-score −0.16 [−0.47 to 0.15] 0.315
SBP percentile 0.00 [−0.01 to 0.01] 0.978
DBP percentile 0.00 [−0.01 to 0.02] 0.868
HbA1c 0.61 [−1.76 to 2.98] 0.614
PPARG + IGF1 0.01 [−0.38 to 0.40] 0.952

R2 = 0.310, p < 0.001

R2 = 0.028, p = 0.641

Statistical test performed on log-transformed HbA1c values

Bold values represent statistically significant results

SBP systolic blood pressure, DBP diastolic blood pressure