Table 2.
Rituximab infusions and adverse events
| First infusion of CT-P10 (n = 12) | First infusion of oRTX (n = 16) | p value | oRTX/CT-P10 (n = 52) | Remain on oRTX (n = 48) | p value | |
|---|---|---|---|---|---|---|
| Rituximab dosage scheme, n (%) | ||||||
| 1 g × 2 weeks | 9 (75.0) | 13 (81.2) | 0.532 | 32 (61.5) | 27 (56.3) | 0.775 |
| 1 g (single dose) | 2 (16.7) | 2 (12.5) | 15 (28.8) | 13 (27.1) | ||
| 500 mg × 2 weeks | – | 1 (6.3) | 2 (3.8) | 3 (6.3) | ||
| 500 mg (single dose) | 1 (8.3) | – | 3 (5.8) | 5 (10.4) | ||
| Cumulative dose of rituximab (g), median (IQR) | – | – | N/A | 9 (10.1) | 10 (11.8) | 0.222 |
| Infusion duration (hour), median (IQR) | 4.5 (0.5) | 4.3 (1.1) | 0.229 | 3.5 (0.6) | 3.5 (0.5) | 0.063 |
| Infusion duration, n (%) | ||||||
| ≤ 2.5 h | – | – | N/A | 4 (8.7) | 4 (8.9) | N/A |
| 2.5–4 h | 1 (8.3) | 7 (43.8) | 36 (78.3) | 32 (71.1) | ||
| ≥ 4 h | 11 (91.7) | 9 (56.3) | 6 (13.0) | 9 (20.0) | ||
| Infusion-related reactions, n (%) | 2 (16.7) | 6 (37.5) | 0.343 | 23 (44.3) | 24 (50.0) | 0.770 |
| Grade 1 | – | 2 (12.5) | 11 (21.2) | 13 (27.1) | ||
| Grade 2 | 2 (16.7) | 4 (25.0) | 12 (23.1) | 11 (22.9) | ||
| Hypogammaglobulinemiaa, n (%) | ||||||
| Ig G < 7.51 g/L | 1 (20.0) | 1 (10.0) | N/A | 9 (29.0) | 3 (10.7) | 0.155 |
| IgA < 0.82 g/L | 1 (20.0) | – | 2 (8.3) | 4 (21.1) | 0.380 | |
| Ig M < 0.46 g/L | 1 (25.0) | 1 (11.1) | 10 (47.6) | 9 (37.5) | 0.702 | |
| Infectionsb, n (%) | 2 (18.2) | 5 (35.7) | N/A | 19 (39.6) | 14 (33.3) | 0.693 |
| Upper respiratory tract infection | – | 1 | 3 | 5 | ||
| Urinary tract infection | 2 | 1 | 9 | 7 | ||
| Pneumonia | – | – | 1 | 1 | ||
| COVID-pneumonia | – | 1 | 5 | 4 | ||
| Soft tissue infection | – | 1 | 1 | – | ||
| Herpes zoster | 1 | 1 | – | – | ||
| Hospitalization due to infection, n (%) | 1 (9.1) | 2 (14.3) | N/A | 5 (10.4) | 4 (9.5) | N/A |
| COVID-pneumonia | – | 1 | 5 | 4 | ||
| Urinary tract infection | 1 | – | – | – | ||
| Soft tissue infection | – | 1 | – | – | ||
a74 patients’ files had data on immunoglobulins
b115 patients’ files had data on infections