Table 3.
Variable | Referent | Univariate Model | Multivariate Model | ||
---|---|---|---|---|---|
Odds Ratio (95% CI) |
P value | Odds Ratio (95% CI) |
P value | ||
KDE | No KDE | 2.42 (2.17–2.74) | <0.0001 | 1.99 (1.67 – 2.39) | <0.0001 |
Black race | White | 0.49 (0.41–0.58) | <0.0001 | 0.58 (0.45 – 0.76) | <0.0001 |
Hispanic Ethnicity | Non-Hispanic | 0.81 (0.64–1.02) | 0.07 | 0.90 (0.63 – 1.30) | 0.57 |
Polycystic kidney disease | No PCKD | 2.93 (1.88–4.56) | <0.0001 | 1.21 (0.59 – 2.5) | 0.60 |
Employed | Unemployed | 3.3 (2.56–4.26) | <0.0001 | 2.63 (1.78 – 3.88) | <0.0001 |
Retired | Unemployed | 1.38 (1.14–1.67) | 0.0007 | 1.29 (0.97 – 1.71) | 0.08 |
CHF | No CHF | 0.62 (0.54–0.71) | <0.0001 | 0.74 (0.60 – 0.92) | 0.007 |
Diabetes Mellitus | No DM | 0.83 (0.73–0.94) | 0.004 | 0.87 (0.71 – 1.08) | 0.2 |
Pre-existing CVD | No CVD | 0.72 (0.63–0.83) | <0.001 | 0.90 (0.73 – 1.11) | 0.3 |
Need for assistance | No need for assistance | 0.45 (0.36–0.55) | <0.0001 | 0.55 (0.40 – 0.77) | 0.0004 |
BMI 30–≤35 | BMI < 30 | 1.05 (0.90–1.23) | 0.51 | 0.97 (0.76–1.24) | 0.8 |
BMI 35–40 | BMI < 30 | 1.01 (0.82–1.24) | 0.91 | 0.91 (0.66–1.27) | 0.59 |
BMI >40 | BMI < 30 | 0.76 (0.60–0.95) | 0.02 | 0.63 (0.44–0.90) | 0.01 |
eGFR, MDRD | (per 1 mL/min/1.73 m2 increase) | 1.03 (1.01–1.04) | <0.0001 | 1.04 (1.02 – 1.06) | 0.0003 |
Albumin <2.7 | Albumin >3.6 | 0.11 (0.06–0.15) | <0.0001 | 0.15 (0.11 – 0.21) | <0.0001 |
Albumin 2.7–3.2 | Albumin > 3.6 | 0.26 (0.21– 0.33) | <0.0001 | 0.37 (0.28 – 0.48) | <0.0001 |
Albumin 3.2–3.6 | Albumin > 3.6 | 0.50 (0.42– 0.6) | 0.61 (0.49 – 0.76) | <0.0001 | |
Renal care < 6 months | No renal care | 4.00 (3.17–5.05) | <0.0001 | 2.79 (1.98 – 3.92) | <0.0001 |
Renal care 6–12 months | No renal care | 4.89 (3.95–6.04) | <0.0001 | 3.5 (2.56 – 4.79) | <0.0001 |
Renal care > 12 months | No renal care | 5.88 (4.85–7.14) | <0.0001 | 3.84 (2.87 – 5.14) | <0.0001 |
KDE: Kidney Disease education, BMI: body mass index, CHF: congestive heart failure, PCKD: polycystic kidney disease, CVD: cardiovascular disease, DM: diabetes mellitus. Uni- and multivariate analyses were performed using race, ethnicity, BMI, employment status, primary renal diagnosis, CHF, albumin level, need for assistance, prior nephrology care, and KDE status. Variables with a significant p value in univariate and/or multivariate models have been shown in the table. Patients who received KDE were matched (1:4) with patients who did not receive KDE on age ±2 years, gender, year of dialysis initiation, and the ESRD network. Conditional logistic regression models were used for analyzing matched cohort.