Table 2. The characteristics of development and validation sets.
Variable | Development set (n = 210) | Validation set (n = 159) | p-value |
---|---|---|---|
Gender | 0.323 | ||
Female | 106 (50.5) | 72 (45.3) | |
Male | 104 (49.5) | 87 (54.7) | |
PEW | 106 (50.5) | 78 (49.1) | 0.787 |
Age, year | 57.34 11.08 | 57.57 11.92 | 0.853 |
Age > 65 | 61 (29) | 46 (28.9) | 0.980 |
Dialysis duration (month) | 22 (9, 51) | 18 (10, 48) | 0.451 |
Infection | 23 (11) | 12 (7.5) | 0.269 |
Peritonitis | 16 (7.6) | 9 (5.7) | 0.458 |
Peritonitis occurrence | 0 (0, 0) | 0 (0, 0) | 0.880 |
Hypertension | 139 (66.2) | 97 (61) | 0.304 |
Cardiovascular disease | 2 (1.0) | 0 (0) | 0.217 |
Diabetes | 30 (14.3) | 20 (12.6) | 0.635 |
BUN (mmol/L) | 20.69 9.72 | 20.15 6.55 | 0.547 |
Predialysis BUN (mmol/L) | 28.55 (22.38, 36.63) | 28.6 (23.3, 34.1) | 0.567 |
Serum creatinine (μmol/L) | 955.62 286.95 | 929.57 280.92 | 0.384 |
Serum potassium (mmol/L) | 4.10 0.64 | 4.06 0.72 | 0.595 |
Serum sodium (mmol/L) | 140.08 2.47 | 139.96 2.74 | 0.652 |
Serum calcium (mmol/L) | 2.27 0.25 | 2.26 0.16 | 0.493 |
Serum phosphorus (mmol/L) | 1.56 0.42 | 1.52 0.40 | 0.414 |
CRP (mg/L) | 2 (1, 4) | 2 (1, 5) | 0.828 |
Glucose (mmol/L) | 6.43 2.61 | 6.25 2.17 | 0.490 |
TG (mmol/L) | 1.53 (1.09, 2.33) | 1.54 (1.09, 2.21) | 0.667 |
LDL (mmol/L) | 2.92 2.93 | 2.67 0.90 | 0.304 |
PTH (pg/mL) | 271.8 (143.75, 445.78) | 278 (132.3, 461.1) | 0.859 |
RAASi | 98 (46.7) | 83 (52.2) | 0.292 |
Ultrafiltration volume (L) | 350 (150, 720) | 350 (110, 780) | 0.872 |
Ccr (umol/L) | 61.29 19.21 | 61.65 20.16 | 0.860 |
Kt/V (ml/s/1.73 m2) | 1.99 (1.74, 2.30) | 1.94 (1.77, 2.23) | 0.453 |
Notes:
BUN, blood urea nitrogen; CRP, C-reactive protein; TG, triglyceride; LDL, low-density lipoprotein; PTH, parathyroid hormone; RAASi, renin-angiotensin-aldosterone system inhibitors; Ccr, creatinine clearance rate; Kt/V, urea clearance index; PEW, protein energy wasting.
Categorical variables are showed as n (%). Continuous variables with normal distribution are reported as mean SD. Continuous variables with abnormal distribution are given as median (IQR).