Table 2. Separate multivariate logistic regression models of the relation of serum CML, sRAGE, and esRAGE with reduced GFR in women, aged ≥65 years, in the Women's Health and Aging Study I in Baltimore, Maryland¹.

Serum CML2 (μg/mL)	Model adjusted for age			Model adjusted for age, race			Model adjusted for age, race, hemoglobin A1c, chronic diseases3
	OR	95% CI	P	OR	95% CI	P	OR	95% CI	P
	1.91	1.43-2.55	<0.001	1.94	1.45-2.59	<0.001	1.98	1.41-2.76	<0.001
Serum sRAGE2 (ng/mL)	Model adjusted for age			Model adjusted for age, race			Model adjusted for age, race, hemoglobin A1c, chronic diseases3
	OR	95% CI	P	OR	95% CI	P	OR	95% CI	P
	1.50	1.24-1.82	<0.001	1.42	1.17-1.74	<0.001	1.42	1.12-1.79	0.003
Serum esRAGE2 (ng/mL)	Model adjusted for age			Model adjusted for age, race			Model adjusted for age, race, hemoglobin A1c, chronic diseases3
	OR	95% CI	P	OR	95% CI	P	OR	95% CI	P
	1.59	1.29-1.96	<0.001	1.50	1.21-1.87	<0.001	1.42	1.14-1.77	0.001

¹Abbreviations used: GFR (glomerular filtration rate), CML (carboxymethyl-lysine), sRAGE (soluble receptor for advanced glycation end products), esRAGE (endogenous secretory receptor for advanced glycation end products), OR (odds ratio), CI (confidence interval). Separate logistic regression models shown for serum CML, sRAGE, and esRAGE in which reduced GFR (defined as estimated GFR <60 mL/min/1.73 m²), is the dependent variable.

²Odds Ratios are expressed per 1 SD change, in serum CML, sRAGE, and esRAGE (0.28 μgmL, 0.21 ng/mL, and 0.71 ng/mL, respectively).

³Chronic diseases were coronary heart disease, congestive heart failure, and peripheral artery disease.