Table 1.
Baseline characteristics of patients with MG stratified by the status of kidney injury.
| Characteristic | Overall (n = 1,164) | With kidney injury (n = 782) | Without kidney injury (n = 382) | P |
|---|---|---|---|---|
| Male | 711 (61.1%) | 481 (61.5%) | 230 (60.2%) | 0.669 |
| Age (year) | 61.2 ± 12.4 | 62.1 ± 12.3 | 59.4 ± 12.5 | 0.001 |
| Hypertension | 290 (24.9%) | 231 (29.5%) | 59 (15.4%) | <0.001 |
| Diabetes | 120 (10.3%) | 90 (11.5%) | 30 (7.9%) | 0.054 |
| Hepatitis B | 35 (3.0%) | 25 (3.2%) | 10 (2.6%) | 0.587 |
| Serum studies | ||||
| Albumin (g/l) | 31.2 ± 7.4 | 29.9 ± 7.5 | 33.8 ± 6.3 | <0.001 |
| Creatinine (μmo/l) | 166.3 ± 268.2 | 216.1 ± 315.3 | 64.3 ± 16.8 | <0.001 |
| eGFR (ml/min per 1.73 m2) | 71.4 ± 36.7 | 58.5 ± 36.8 | 97.8 ± 17.1 | <0.001 |
| eGFR <60 (ml/min per 1.73 m2) | 401 (34.5%) | 401 (51.3%) | 0 (0) | <0.001 |
| κ/λ | 1.81 (0.70–7.42) | 1.71 (0.70–6.08) | 2.10 (0.80–9.81) | 0.543 |
| Urinary studies | ||||
| Urinary protein (g/d) | 0.82 (0.20–3.04) | 1.44 (0.35–4.15) | 0.11 (0.07–0.15) | <0.001 |
| Proteinuria >1.5 g/d | 166 (39.6%) | 166 (48.0%) | 0 (0) | <0.001 |
| Hematuria | 407 (38.8%) | 407 (56.3%) | 0 (0) | <0.001 |
| κ/λ | 1.42 (0.49–2.68) | 1.42 (0.49–2.68) | / | / |
| Hematologic studies | ||||
| Clonal subtype | ||||
| Ig isotype | ||||
| IgA(+) | 305 (26.2%) | 212 (27.1%) | 93 (24.3%) | 0.314 |
| IgG(+) | 638 (54.8%) | 416 (53.2%) | 222 (58.1%) | 0.113 |
| IgM(+) | 128 (11.0%) | 78 (10.0%) | 50 (13.1%) | 0.111 |
| IgA/IgG/IgM(+) | 19 (1.6%) | 14 (1.8%) | 5 (1.3%) | 0.543 |
| IgA&IgG&IgM(−) | 74 (6.4%) | 62 (7.9%) | 12 (3.1%) | 0.002 |
| Ig light chain | ||||
| Kappa(+) | 498 (42.8%) | 321 (41.0%) | 177 (46.3%) | 0.087 |
| Lambda(+) | 480 (41.2%) | 333 (42.6%) | 147 (38.5%) | 0.182 |
| Kappa&Lambda(+) | 20 (1.7%) | 12 (1.5%) | 8 (2.1%) | 0.49 |
| Kappa&Lambda(−) | 166 (14.3%) | 116 (14.8%) | 50 (13.1%) | 0.424 |
| Received BM biopsy | 377 (29.0%) | 261 (33.4%) | 76 (19.9%) | <0.001 |
Values for continuous variables are described as mean ± SD or median (IQR) depending on the distribution, and for categoric variables described as count (%).