Table 3. Mixed linear model analysis of factors predicting residual urine volume.
Variables | Model 1 | Model 2 | ||||
---|---|---|---|---|---|---|
Estimate | s.e. | P-value | Estimate | s.e. | P-value | |
Intercept | 1125 | 104 | <0.0001 | 1350 | 106 | <0.0001 |
Time on PD (years) | −138 | 23 | <.0001 | −134 | 23.4 | <0.0001 |
Underlying diagnosis (ref. CAKUT) | ||||||
Glomerulopathies | −614 | 103 | <0.0001 | −584 | 101 | <0.0001 |
Other | −395 | 145 | 0.007 | −330 | 142 | 0.021 |
Use of diuretics | 103 | 59 | 0.074 | 84 | 61 | 0.165 |
Use of biocompatible PD fluid | 121 | 59 | 0.028 | 111 | 58 | 0.057 |
Use of icodextrin | −202 | 100 | 0.043 | −179 | 103 | 0.083 |
Ultrafiltration volume (l/m2 per day) | −35 | 23 | 0.138 | −42 | 24 | 0.077 |
Region of residence (ref: Europe) | ||||||
North America | −431 | 215 | 0.047 | |||
Latin America | 46 | 120 | 0.705 | |||
Turkey | −259 | 131 | 0.050 | |||
Asia | −420 | 153 | 0.007 |
Abbreviations: CAKUT, congenital anomalies of kidney and urinary tract; PD, peritoneal dialysis. Daily urine output per m2 body surface area was used as the dependent variable in the model. Estimates denote ml/m2 diuresis difference attributable to predictor variable (per one unit for quantitative variables).