| Literature DB >> 33905043 |
Jing Xu1, Ying Ding1, Li Wan1, Qinghua Yang1, Zhen Qu2.
Abstract
OBJECTIVE: To explore the efficacy and safety of rituximab (RTX) in the treatment of autoimmune nephropathy manifested as refractory nephrotic syndrome (RNS).Entities:
Keywords: Albumin; Refractory nephrotic syndrome; Rituximab; Urine protein; eGFR
Mesh:
Substances:
Year: 2021 PMID: 33905043 PMCID: PMC8732927 DOI: 10.1007/s11255-021-02860-4
Source DB: PubMed Journal: Int Urol Nephrol ISSN: 0301-1623 Impact factor: 2.370
Fig. 1Study flow chart
Baseline data of the three groups of patients
| Groups (cases) | PN ( | Comparison between SN-1 and PN | SN-1 ( | Comparison between SN-2 and PN | SN-2 ( | Comparison between SN-2 and SN-1 | Overall comparison |
|---|---|---|---|---|---|---|---|
| MN 13 (65%) | SLE 9 (75%) | SLE 15 (68.2%) | |||||
| Primary diseases | MCD 6 (30%) | AAV 2 (16.7%) | AAV 5 (22.7%) | ||||
| FSGS 1 (5%) | C-HUS 1 (78.3%) | C-HUS 2 (9.1%) | |||||
| Gender (male) | 16 (80%) | 5 (41.7%) | 10 (45.5%) | ||||
| Age (year) | 46.45 ± 17.53 | – | 33.08 ± 12.75 | – | 47.5 ± 19.28 | – | |
| Medical history (month) | 21 (15, 31) | 73 (9, 1117) | 69 (11.75, 135) | ||||
| Follow-up time(m) | 15.75 ± 9.4 | – | 14.5 ± 8.6 | – | 16.8 ± 11.2 | – | |
| First round RTX dose(mg/m2) | 1050.49 ± 291.81 | – | 1103.88 ± 241.18 | – | 947.19 ± 294.21 | – | |
| SCr (µmol/L) | 92.50 (72.25,109.75) | 96.50 (58.00,151.00) | 329.5 (275.50, 438.75) | ||||
| eGFR(ml/min*1.73m2) | 78.79 ± 32.71 | 83.20 ± 40.15 | 15.33 ± 4.97 | ||||
| BUN (mmol/L) | 8.04 ± 4.55 | 11.88 ± 5.88 | 20.64 ± 5.50 | ||||
| Upro (g/24 h) | 12.59 ± 4.86 | 7.14 ± 3.95 | 4.83 ± 2.31 | ||||
| ALB (g/L) | 21.54 ± 5.63 | 29.37 ± 9.42 | 33.10 ± 595 | ||||
| UA (µmol/L) | 408.95 ± 129.86 | – | 459.3 ± 110.53 | – | 488.24 ± 15.98 | – | |
| WBC (109/L) non-normal | 9.36 ± 3.38 | 9.26 ± 3.13 | 6.53 ± 2.53 | ||||
| L (109/L) | 1.7 (1.24, 2.78) | 1.31 (0.98, 2.05) | 0.95 (0.66, 1.30) | ||||
| N (109/L) | 6.91 ± 3.35 | – | 7.52 ± 2.57 | – | 5.23 ± 2.41 | – | |
| RBC (1012/L) | 4.15 ± 0.82 | 3.34 ± 0.48 | 3.18 ± 0.60 | ||||
| PLT (109/L) | 260.05 ± 54.46 | 259.70 ± 146.82 | 149.10 ± 62.46 | ||||
| CD19 + cell (cell/μL) | 234.0 (116.0, 354.9) | – | 108.0 (65.5, 203.0) | – | 140.5 (46.25, 186.25) | – | |
| CD4 + cell (cell/μL) | 819.0 (523.5, 1443.0) | H = 12.026, P = 0.033 | 378 (275.5, 619.5) | H = 13.804, P = 0.002 | 325.0 (211.00, 645.50) | H = 11.778, P = 0.745 | H = 10.271, P = 0.006 |
The laboratory indexes before and after rituximab (RTX) treatment were compared between groups. One-way analysis of variance (ANOVA) was performed for measurement data with normal distribution and equal variance, while Kruskal–Wallis non-parametric test was performed for measurement data with on non-normal distribution or unequal variance. Chi-squared test was performed for enumeration data
SCr serum creatinine; eGFR estimated glomerular filtration rate; BUN blood urea nitrogen; Upro urine protein; ALB albumin; UA uric acid; WBC white blood cell; L lymphocyte count; N neutrophil count; RBC red blood cell; PLT platelet
Previous application of immunosuppressants in three groups of patients
| Types of immunosuppressants | PN ( | SN-1 ( | SN-2 ( |
|---|---|---|---|
| CYC | 6 (30%) | 9 (75%) | 18 (81.8%) |
| CsA | 14 (70%) | 1 (8.3%) | 3 (13.6%) |
| Tacrolimus | 5 (25%) | 3 (25%) | 0 |
| MMF | 4 (20%) | 6 (50%) | 9 (40.9%) |
| AZA | 0 | 0 | 1 (4.5%) |
| LF | 0 | 0 | 6 (27.2%) |
CYC cyclophosphamide; CsA cyclosporine A; MMF mycophenolate mofetil; AZA azathioprine; LF Leflunomide
Dynamic changes of laboratory indexes in three groups 6 months after rituximab treatment
| Parameters | Groups | Time points | ||||||
|---|---|---|---|---|---|---|---|---|
| Month 0 | Month 1 | Month 2 | Month 3 | Month 6 | ||||
| Upro (g/24 h) | PN | 12.93 ± 5.21 | 6.98 ± 5.98 | 6.46 ± 6.19 | 4.93 ± 5.47 | 5.29 ± 7.88 | (− 6.806, − 0.130) | 0.042a |
| SN-1 | 7.84 ± 3.86 | 4.15 ± 3.01 | 3.20 ± 2.87 | 2.18 ± 1.89 | 1.89 ± 2.1 | (− 6.895, − 1.686) | 0.002b | |
| SN-2 | 5.29 ± 2.58 | 3.25 ± 2.81 | 2.81 ± 2.78 | 2.37 ± 2.08 | 1.43 ± 1.02 | (− 4.161, 2.516) | 0.621c | |
| 0.006d | ||||||||
| ALB (g/L) | PN | 21.4 ± 5.47 | 25.96 ± 8.25 | 31.11 ± 7.87 | 32.2 ± 59.65 | 33.72 ± 9.70 | (− 2.0135, 9.181) | 0.203a |
| SN-1 | 28.25 ± 10.35 | 29.666 ± 9.55 | 31.95 ± 7.69 | 35.61 ± 6.28 | 36.82 ± 4.81 | (0.965, 10.105) | 0.019b | |
| SN-2 | 27.40 ± 8.67 | 32.88 ± 6.10 | 34.29 ± 5.42 | 35.49 ± 6.17 | 36.40 ± 4.98 | (− 3.646, 7.549) | 0.484c | |
| 0.059d | ||||||||
| eGFR (ml/min) | PN | 82.76 ± 32.17 | 81.64 ± 31.86 | 83.08 ± 32.46 | 85.54 ± 30.18 | 80.62 ± 31.07 | (− 23.411, 18.973) | 0.833a |
| SN-1 | 88.93 ± 36.24 | 83.41 ± 34.27 | 82.20 ± 33.38 | 73.55 ± 35.37 | 73.45 ± 32.23 | (− 84.236, − 49.803) | ||
| SN-2 | 15.11 ± 4.76 | 16.18 ± 7.58 | 15.83 ± 7.65 | 15.32 ± 9.72 | 15.09 ± 11.76 | (− 86.203, − 43.397) | ||
The laboratory indexes of the three groups were measured by repeated measures analysis of variance
aComparison between PN and SN-1
bComparison between SN-1 and SN-2
cComparison between SN-2 and PN
dThe overall comparison
Fig. 2Dynamic changes of Upro, ALB and eGFR in three groups 6 months after RTX treatment
Fig. 3Kaplan–Meier curves for major endpoints
Incidence of infection in three groups of patients
| Adverse events | Groups | ||||
|---|---|---|---|---|---|
| Cases | PN ( | SN-1 ( | SN-2 ( | ||
| Infection occurred 6 months after RTX treatment, | 24 | 9(45.5%) | 4(27.3%) | 11(50%) | |
| Infection occurred 6 months after RTX treatment, times (times/person-year) | 34 | 10(1.1) | 5(0.83) | 19(1.72) | |
| Severe infection occurred 6 months after RTX treatment, N (%) | 16 | 2(10%) | 3(25%) | 11(50%) | |
| Severe infection occurred 6 months after RTX treatment, times (times/person-year) | 22 | 3(0.3) | 4(0.67) | 15(1.36) | |
| Severe infection occurred 6 months before RTX treatment N(%) | 15 | 2(10%) | 3(25%) | 10(45.5%) | |
| Severe infection occurred 6 months before RTX treatment, times (times/person-year) | 16 | 2 (0.2) | 3(0.54) | 11(1) | |
| Comparison of severe infection cases 6 months before and after RTX treatmenta | |||||
| Pulmonary infection | 11 | 1 | 3 | 7 | |
| Bacteria | 10 | 1 | 2 | 7 | |
| Fungus | 5 | 0 | 1 | 4 | |
| Virus | 2 | 0 | 1 | 1 | |
| Multiple infection | 5 | 0 | 1 | 4 | |
| Respiratory tract infection | 8 | 4 | 2 | 2 | |
| Intestinal infection | 2 | 0 | 0 | 2 | |
| Acute pancreatitis | 1 | 0 | 0 | 1 | |
| Urinary tract infection N | 3 | 2 | 0 | 1 | |
| Herpes zoster N | 2 | 0 | 0 | 2 | |
| Gingivitis | 1 | 1 | 0 | 0 | |
| CMV viremia | 6 | 2 | 0 | 4 | |
Chi-squared test was used for the comparison of rates between groups, and Kruskal–Wallis test for independent samples was used for the comparison of measurement data between groups
aWilcoxon signed rank sum test for dependent samples was used
Univariate and multivariate Cox regression analysis of risk factors for primary endpoints
| Factor | Univariate | Multivariate | ||||
|---|---|---|---|---|---|---|
| 95% | 95% | |||||
| Age | 0.993 | 0.965–1.002 | 0.639 | – | – | 0.243 |
| Male | 0.483 | 0.180−1.301 | 0.150 | – | – | 0.855 |
| Onset time | 1.004 | 0.998−1.010 | 0.172 | – | – | 0.346 |
| Baseline eGFR | 0.993 | 0.856−0.973 | 0.005 | 0.910 | 0.847–0.976 | 0.009 |
| Baseline ALB | 1.060 | 0.998−1.126 | 0.058 | – | – | 0.176 |
| Baseline Upro | 0.847 | 0.074−0.963 | 0.011 | – | – | 0.401 |
| Baseline WBC | 0.860 | 0.725−1.020 | 0.082 | – | 0.361 | |
| Baseline L | 0.511 | 0.236−1.105 | 0.088 | – | – | 0.385 |
| Baseline RBC | 0.433 | 0.207−0.908 | 0.027 | – | – | 0.416 |
The variable entry method is Forward LR (forward stepwise regression based on maximum-likelihood estimation). “–” indicates the variables that are not in the regression equation (i.e., the variables with no statistical difference), and their HR value and 95% CI are not shown
eGFR estimated glomerular filtration rate; Upro urine protein; ALB albumin; UA uric acid; WBC white blood cell; L lymphocyte count; RBC red blood cell