Table 5.
Separate multivariate linear regression models of the relationship of plasma CML at enrollment with estimated glomerular filtration rate in adults, aged ≥65 years, at three and six years of follow-up in the InCHIANTI Study
| A. Estimated GFR at Three-Year Follow-Up | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Model adjusted for age, sex, baseline eGFR | Model adjusted for age, sex, baseline eGFR, education, smoking, MMSE | Model adjusted for age, sex, baseline eGFR, education, smoking, MMSE and chronic diseases3 | ||||||||
| Beta | SE | P | Beta | SE | P | Beta | SE | P | ||
| Plasma CML1,2 (ng/mL) | All Subjects (n = 735) | -2.62 | 0.61 | <0.0001 | -2.62 | 0.61 | <0.0001 | -2.54 | 0.61 | <0.0001 |
| Subjects Without Diabetes (n = 648) | -2.76 | 0.65 | <0.0001 | -2.76 | 0.66 | <0.0001 | -2.71 | 0.65 | <0.0001 | |
| Subjects Who Were Current Nonsmokers (n = 619) | -2.56 | 0.66 | 0.0002 | -2.51 | 0.66 | 0.0002 | -2.43 | 0.65 | 0.0002 | |
| B. Estimated GFR at Six-Year Follow-Up | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Model adjusted for age, sex, baseline eGFR | Model adjusted for age, sex, baseline eGFR, education, smoking, MMSE | Model adjusted for age, sex, education, smoking, MMSE and chronic diseases3 | ||||||||
| Beta | SE | P | Beta | SE | P | Beta | SE | P | ||
| Plasma CML1,2 (ng/mL) | All Subjects (n = 643) | -1.18 | 0.70 | 0.09 | -1.16 | 0.70 | 0.10 | -1.21 | 0.70 | 0.08 |
| Subjects Without Diabetes (n = 567) | -1.46 | 0.76 | 0.05 | -1.43 | 0.76 | 0.06 | -1.49 | 0.76 | 0.05 | |
| Subjects Who Were Current Nonsmokers (n = 556) | -1.38 | 0.76 | 0.07 | -1.39 | 0.76 | 0.06 | -1.46 | 0.76 | 0.05 | |
Separate multivariate linear regression models shown for plasma CML in which estimated glomerular filtration rate (mL/min/1.73 m2) is the dependent variable.
Beta expressed per 1 SD of plasma CML (1 SD = 110 ng/mL).
Chronic diseases were congestive heart failure, stroke, depression, and cancer.