Table 4.
Predictors of Log(FGF-23) Levels After Stepwise Backward Regression Analysis
| Term | Estimate | SE | Lower 95% | Upper 95% | Std. β | P value |
|---|---|---|---|---|---|---|
| All | ||||||
| Sex (male) | −0.260 | 0.053 | −0.365 | −0.156 | −0.32 | <0.0001 |
| eGFR, mL/min/1.73 m2 | −0.007 | 0.002 | −0.011 | −0.002 | −0.19 | 0.01 |
| Tobacco use | 0.151 | 0.070 | 0.013 | 0.289 | 0.14 | 0.03 |
| Plaque % calcium | 0.178 | 0.064 | 0.053 | 0.304 | 0.18 | 0.01 |
| Male | ||||||
| GSM | 0.024 | 0.010 | 0.005 | 0.044 | 0.50 | 0.01 |
| Plaque % fat | 0.050 | 0.018 | 0.015 | 0.085 | 0.56 | 0.01 |
| Female | ||||||
| MPH, mm | −0.319 | 0.114 | −0.548 | −0.090 | −0.41 | 0.01 |
| TPA, mm2 | 0.014 | 0.004 | 0.006 | 0.022 | 0.52 | 0.001 |
| Plaque % calcium | 0.274 | 0.102 | 0.071 | 0.477 | 0.28 | 0.01 |
Abbreviations: MPH, maximum plaque height; Std., standardized.
Selection model included all atherosclerotic variables (quantity and composition), age, sex (if all participants), eGFR, BMI, traditional cardiac risk factors (tobacco use, diabetes, hypertension, and dyslipidemia). Only contributors that remained in the model and were statistically significant are presented.