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. 2023 Dec 13;22:344. doi: 10.1186/s12933-023-02065-2

Table 3.

Multiple regression analysis evaluating PWV and RRI as dependent variables

Coefficient β P
PWV
Multiple regression—Model 1*
Age, years 0.20 0.0003
Multiple regression—Model 2
Age, years 0.14 0.02
HbA1c, % (mmol/mol) 0.25 0.008
Multiple regression—Model 3
RRI 9.4 0.007
u-OPN, ng/mL 2.6 0.049
RRI
Multiple regression—Model 1*
Age, years 0.006  < 0.0001
Multiple regression—Model 2
Age, years 0.29 0.004
HbA1c, % 0.23 0.007
eGFR, mL/min/1.73 m2 − 0.24 0.01
Multiple regression—Model 3
Age, years 0.002 0.047
HbA1c, % (mmol/mol) 0.014 0.008
eGFR, mL/min/1.73 m2 − 0.01 0.01
u-OPN, ng/mL 0.09 0.006

*Model 1 was adjusted for age, sex, BMI, smoking status, SBP, being in secondary prevention. Model 2 was adjusted for HbA1c, LDL cholesterol, HDL cholesterol, eGFR, UACR > 30 mg/g. Model 3 was adjusted for RRI (not when the dependent variable is RRI), u-B2M, u-Cys, u-NGAL, u-OPN, u-TFF3. PWV: pulse wave velocity; AugI: Augmentation Index; BMI: body mass index; SBP: systolic blood pressure; eGFR: estimated Glomerular Filtration Rate; UACR: Urinary Albumin to Creatine Ratio; RRI: renal resistivity index; u-B2M: urinary β2 microglobulin; ; u-Cys: urinary Cystatin C; u-NGAL: urinary Neutrophil Gelatinase-Associated Lipocalin; u-OPN: urinary osteopontin; u-TFF3: urinary TreFoil Factor 3