| Literature DB >> 35568438 |
Gabriella Moroni1,2, Luca Iaccarino3, Mariele Gatto3, Francesca Radice4,5, Francesca Saccon3, Marta Calatroni1,2, Giulia Frontini6, Barbara Trezzi4,5, Margherita Zen3, Anna Ghirardello3, Francesco Tamborini6, Valentina Binda6, Vincenzo L'Imperio7, Andrea Doria8, Augusto Vaglio9, Renato Alberto Sinico4,5.
Abstract
OBJECTIVE: To investigate second kidney biopsy as predictor of end-stage kidney disease (ESKD) in active lupus nephritis (LN).Entities:
Keywords: Inflammation; Lupus Erythematosus, Systemic; Lupus Nephritis
Mesh:
Year: 2022 PMID: 35568438 PMCID: PMC9109114 DOI: 10.1136/lupus-2022-000689
Source DB: PubMed Journal: Lupus Sci Med ISSN: 2053-8790
Demographic, histological and clinical features at second renal biopsy and at disease outcome in patients from different groups (expressed as mean (SD) unless differently specified)
| Variable | Overall | Group 1 | Group 2 | Group 3 | P value |
| Number of patients | 92 | 28 | 46 | 18 | – |
| Age at second biopsy | 35.1 (10.6) | 34.7 (11.1) | 36.6 (10.36) | 31.7 (10.1) | 0.32 |
| Females, n (%) | 80 (86.9) | 26 (92.9) | 39 (84.8) | 15 (83.3) | 0.54 |
| Arterial hypertension, n (%) | 47 (51) | 24 (85.7) | 17 (36.9) | 6 (33.3) | 0.008 |
| Proteinuria, g/24 hours | 4.1 (3.5) | 6.0 (5.1) | 3.75 (2.41) | 2.1 (1.0) | 0.003 |
| SCr mg/dL | 1.4 (1.3) | 2.4 (1.7) | 0.8 (0.17) | 0.9 (0.3) | <0.001 |
| GFR ml/min/1.73 m2 | 71.9 (35) | 33.3 (14.1) | 94.8 (27.1) | 82.8 (30.3) | <0.001 |
| C3 mg/dL | 67.3 (29.3) | 61.8 (28.5) | 67.6 (28.8) | 75.6 (30.5) | 0.28 |
| C4 mg/dL | 17.6 (21.3) | 14.7 (20.8) | 20.4 (24.9) | 15.5 (.48) | 0.37 |
| Antibodies | |||||
| Anti-dsDNA in 87 pts, n (%) | 79 (90.8) | 26 | 39 | 14 | 0.84 |
| aPL in 84 pts, n (%) | 56 (66.7) | 14 | 29 | 13 | 0.47 |
| Anti-ENA in 69 pts, n (%) | 35 (50.7) | 8 | 21 | 6 | 0.93 |
| Prednisone dosage, mg/day | 8.8 (6.8) | 9.73 (8.07) | 8.68 (6.8) | 7.5 (4.1) | 0.82 |
| Antimalarial use*, n (%) | 16 (21.6) | 8 | 4 | 4 | 0.69 |
| Immunosuppression†, n (%) | 44 (50.5) | 5 | 20 | 8 | 0.053 |
| MMF | 18 | 2 | 12 | 4 | 0.13 |
| AZA | 11 | 2 | 5 | 4 | 0.30 |
| CNI | 3 | 0 | 3 | 0 | 0.84 |
| CYC | 1 | 1 | 0 | 0 | 0.81 |
| Class ISN/RPS2003‡, n | |||||
| I | 1 | 0 | 0 | 1 | 0.15 |
| II | 3 | 0 | 2 | 1 | 0.12 |
| III | 9 | 0 | 6 | 3 | 0.28 |
| IV | 42 | 21 | 15 | 6 | <0.001 |
| V | 14 | 0 | 10 | 4 | 0.09 |
| Mixed | 20 | 6 | 11 | 3 | 0.91 |
| AI | 4.7 (3.8) | 5.9 (3.7) | 4.5 (3.8) | 3.8 (3.7) | 0.4 |
| CI | 4.0 (2.4) | 6.1 (2.6) | 2.9 (1.5) | 3.9 (2.2) | <0.001 |
| Time between first and second biopsy (years) | 6.7 (4.9) | 8.2 (5.1) | 6.9 (4.6) | 3.5 (4.1) | <0.001 |
| Time from repeated biopsy to end of follow-up (years) | 10.3 (9.8) | 8.9 (9.4) | 10.4 (9.1) | 12.1 (12.4) | 0.61 |
| ESKD, n (%) | 25 (27.2) | 18 (60.7) | 6 (13) | 2 (11) | <0.001 |
Comparison between continuous variables: one way ANOVA with Bonferroni correction; comparison between proportions: χ² test.
*Data available for 74 patients.
†Data and referred percentages are calculated 87 patients.
‡Data for 89 patients.
eGFR glomerular filtration rate; aPL antiphospholipid antibodies; AI, activity index; ANOVA, analysis of variance; anti-dsDNA, antibodies antidouble stranded DNA; anti-ENA, antiextractable nuclear antigens antibodies; AZA, azathioprine; CI, chronicity index; CNI, calcineurin inhibitors; CYC, cyclophosphamide; ESKD, end-stage kidney disease; ISN/RPS, International Society of Nephrology/Renal Pathology Society; MMF, mycophenolate mofetil; pts, patients; SCr, serum creatinine.
Demographic, histological and clinical features at second renal biopsy according to renal outcome (reported as mean (SD) if not otherwise specified)
| Variable | ESKD | Non ESKD | P value |
| Number of patients | 25 | 67 | – |
| Age at second biopsy | 35.9 (11.5) | 34.7 (10.3) | 0.6 |
| Females, n (%) | 21 (84) | 59 (88) | 0.7 |
| Arterial hypertension, n (%) | 22 (88) | 1 (1.5) | <0.001 |
| Proteinuria, g/24 hours | 5.4 (5.02) | 2.8 (2.6) | 0.02 |
| SCr mg/dL | 2.2 (1.9) | 1.05 (0.52) | 0.01 |
| GFR ml/min/1.73 m2 | 51.3 (35.6) | 79.8 (31.6) | 0.001 |
| C3 mg/dL | 67.6 (30.9) | 67.2 (28.6) | 0.9 |
| C4 mg/dL | 18.2 (22.6) | 17.4 (20.1) | 0.9 |
| Antibodies | |||
| Anti-dsDNA in 87 pts (%) | 22/25 (88) | 57/62(92) | 0.6 |
| aPL in 84 pts (%) | 13/22 (59) | 43/62 (69.3) | 0.4 |
| Anti-ENA in 69 pts (%) | 5/12 (41.6) | 30/57 (52.6) | 0.5 |
| Prednisone dosage, mg/day | 8.9 (8.5) | 8.5 (6.1) | 0.4 |
| Antimalarials*, n (%) | 1/21 (4.8) | 15/53 (28.3) | 0.030 |
| Immunosuppression†, n (%) | 5/20 (25) | 28/52 (53.8) | 0.036 |
| MMF | 0 | 18 | 0.01 |
| AZA | 5 | 11 | 0.7 |
| CNI | 1 | 8 | 0.25 |
| CYC | 1 | 0 | 0.45 |
| Class ISN/RPS2003‡ | |||
| II | 1 | 10 | 0.15 |
| III | 2 | 8 | 0.6 |
| IV | 18 | 26 | 0.005 |
| V | 1 | 15 | 0.038 |
| Mixed | 6 | 17 | 0.7 |
| AI | 5.7 (3.6) | 4.33 (3.8) | 0.2 |
| CI | 4.8 (2.9) | 3.7 (2.09) | 0.09 |
Comparison between continuous variables: one way ANOVA with Bonferroni correction; comparison between proportions: χ² test.
*Data available for 74 patients.
†Data and referred percentages are calculated on 72 patients.
‡Data for 89 patients; one patient with class I is not listed.
aPL antiphospholipid antibodies; eGFR glomerular filtration rate; AI, activity index; ANOVA, analysis of variance; anti-dsDNA, antibodies antidouble stranded DNA; anti-ENA, antiextractable nuclear antigens antibodies; AZA, azathioprine CNI calcineurin inhibitors; CI, chronicity index; CYC, cyclophosphamide; ESKD, end-stage kidney disease; ISN/RPS, International Society of Nephrology/Renal Pathology Society; MMF, mycophenolate mofetil; pts, patients; SCr, serum creatinine.
Predictors of ESKD at second kidney biopsy
| Variable | Univariable analysis | Multivariable analysis | ||||
| HR | 95% CI | P value | HR | 95% CI | P value | |
| Age at second biopsy | 1.01 | 0.94 to 1.10 | 0.33 | – | – | – |
| Male gender | 2.21 | 0.74 to 6.64 | 0.16 | – | – | – |
| Time elapsed between first and second biopsy | 1.05 | 0.91 to 1.13 | 0.22 | – | – | – |
| Use of IS at time of second biopsy | 0.82 | 0.28 to 2.33 | 0.72 | – | – | – |
| Serum creatinine mg/dL | 1.61 | 1.34 to 1.91 | <0.001 | 1.20 | 0.79 to 1.85 | 0.39 |
| eGFR mL/min/1.73 m2 | 0.97 | 0.95 to 0.98 | 0.001 | – | – | – |
| Proteinuria g/day | 1.23 | 1.11 to 1.36 | <0.001 |
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| Arterial hypertension | 11.71 | 1.6 to 87.1 | 0.016 | 4.9 | 0.6 to 40.4 | 0.14 |
| Proliferative Class ISN/RPS 2003 | 7.41 | 0.99 to 54.9 | 0.050 | – | – | – |
| AI | 1.14 | 0.99 to 1.32 | 0.059 |
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| CI | 1.32 | 1.02 to 1.51 | 0.030 |
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Variables included in the model: Serum Creatinine, hypertension, proteinuria, AI, CI.
Significant variables at multivariable analysis are highlighted in bold
AI, activity index; CI, chronicity index; eGFR, estimated glomerular filtration rate; ESKD, end-stage kidney disease; IS, immunosuppressants; ISN/RPS, International Society of Nephrology/Renal Pathology Society.
Figure 1Risk graphs divided by histological parameters and proteinuria show critical values. (A) Patients with CI>4 or (B) AI≥2 at second biopsy are at significantly higher risk of ESKD during their clinical course. (C) Patients with proteinuria ≥3.5 g/day at second biopsy are at significantly higher risk of ESKD during their clinical course. Survival calculated with Mantel-Cox long-rank test. AI, activity index; CI, chronicity index; ESKD, end stage kidney disease.
Subgroup analysis (Cox regression univariable models) testing itemised AI and CI scores as predictors of ESKD
| Variable | HR | 95% CI | P value |
| Glomerular activity |
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| Subendothelial deposits |
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| Necrosis/karyorrhexis | 1.247 | 0.329 to 4.273 | 0.746 |
| Endocapillary hypercellularity | 2.196 | 0.472 to 10.207 | 0.316 |
| Cellular crescents | 2.890 | 0.250 to 9.825 | 0.089 |
| Leucocyte infiltration | 2.898 | 0.766 to 10.940 | 0.117 |
| Glomerular chronicity | 1.302 | 0.582 to 2.915 | 0.520 |
| Tubular activity | 0.649 | 0.270 to 1.561 | 0.334 |
| Tubular chronicity | 1.628 | 0.920 to 2.874 | 0.090 |
| Tubular atrophy | 1.220 | 0.354 to 4.203 | 0.750 |
| Interstitial fibrosis | 0.712 | 0.143 to 3.553 | 0.679 |
Results from proportional hazards regression (Cox regression) univariable models, with ESKD as dependent variable and NIH itemised AI or CI score (ref 18) as predictors under investigation. Signifcant variables are highlighted in bold.
AI, activity score; CI, chronicity score; ESKD, end stage kidney disease.