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. Author manuscript; available in PMC: 2023 Mar 24.
Published in final edited form as: Perit Dial Int. 2020 Dec 1;41(5):453–462. doi: 10.1177/0896860820975586

Table 3.

Patient demographic, medical and socioeconomical characteristics associated with home dialysis use at the start of ESRD in univariate and multivariate logistic regression model.

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.