| Literature DB >> 34389634 |
Kristina K Deonaraine1, Philip M Carlucci1, Andrea Fava2, Jessica Li2, David Wofsy3, Judith A James4, Chaim Putterman5, Betty Diamond6, Anne Davidson6, Derek M Fine7, Jose Monroy-Trujillo2, Mohamed G Atta2, Kristin Haag2, Deepak A Rao8, William Apruzzese8, H Michael Belmont1, Peter M Izmirly1, Ming Wu9, Sean Connery10, Fernanda Payan-Schober10, Richard A Furie11, Celine C Berthier12, Maria Dall'Era3, Kerry Cho13, Diane L Kamen14, Kenneth Kalunian15, Jennifer Anolik16, Mariko Ishimori17, Michael H Weisman17, Michelle A Petri18, Jill P Buyon19.
Abstract
OBJECTIVES: In lupus nephritis the pathological diagnosis from tissue retrieved during kidney biopsy drives treatment and management. Despite recent approval of new drugs, complete remission rates remain well under aspirational levels, necessitating identification of new therapeutic targets by greater dissection of the pathways to tissue inflammation and injury. This study assessed the safety of kidney biopsies in patients with SLE enrolled in the Accelerating Medicines Partnership, a consortium formed to molecularly deconstruct nephritis.Entities:
Keywords: autoimmunity; lupus erythematosus; lupus nephritis; systemic
Mesh:
Year: 2021 PMID: 34389634 PMCID: PMC8354250 DOI: 10.1136/lupus-2021-000522
Source DB: PubMed Journal: Lupus Sci Med ISSN: 2053-8790
Demographics and characteristics of patients undergoing clinically indicated kidney biopsy
| All patients, | Without AE, | With related AE, | With unrelated AE, | |
| Age, median (IQR) | 34 (26–44), n=441 | 34 (26–44), n=400 | 34.5 (26–44) | 42 (23–45) |
| Sex, n (%) | ||||
| Female | 390 (82.1) | 352 (81.1) | 32 (94.1) | 6 (85.7) |
| Male | 68 (14.3) | 65 (15.0) | 2 (5.9) | 1 (14.3) |
| Unknown | 17 (3.6%) | 17 (3.9) | 0 (0.0) | 0 (0.0) |
| Race, n (%) | ||||
| Asian | 70 (14.7) | 60 (13.8) | 9 (26.5) | 1 (14.3) |
| Black | 192 (40.4) | 179 (41.2) | 12 (35.3) | 1 (14.3) |
| White | 152 (32.0) | 139 (32.0) | 10 (29.4) | 3 (42.9) |
| Other/unknown | 61 (12.8) | 56 (12.9) | 3 (8.8) | 2 (28.6) |
| Ethnicity, n (%) | ||||
| Hispanic/Latino | 125 (26.3) | 116 (26.7) | 6 (17.6) | 3 (42.9) |
| Not Hispanic/Latino | 331 (69.7) | 299 (68.9) | 28 (82.4) | 4 (57.1) |
| Unknown | 19 (4.0) | 19 (4.4) | 0 (0.0) | 0 (0.0) |
| Diagnosis, n (%) | ||||
| Class I | 8 (1.7) | 8 (1.8) | 0 (0.0) | 0 (0.0) |
| Class II | 30 (6.3) | 28 (6.5) | 2 (5.9) | 0 (0.0) |
| Class III | 76 (16.0) | 74 (17.1) | 2 (5.9) | 0 (0.0) |
| Class IV | 62 (13.1) | 57 (13.1) | 5 (14.7) | 0 (0.0) |
| Class V | 105 (22.1) | 95 (21.9) | 10 (29.4) | 0 (0.0) |
| Class VI | 17 (3.6) | 16 (3.7) | 1 (2.9) | 0 (0.0) |
| Class mixed (III/V, IV/V) | 123 (25.9) | 111 (25.6) | 8 (23.5) | 4 (57.1) |
| Unexpected mixed (I/VI, II/VI) | 5 (1.1) | 1 (0.2) | 1 (2.9) | 3 (42.9) |
| Other | 44 (9.3) | 42 (9.7) | 2 (5.9) | 0 (0.0) |
| Insufficient tissue for diagnosis | 5 (1.1) | 2 (0.5) | 3 (8.8) | 0 (0.0) |
| Activity index, median (IQR) | 4 (1–8), n=266 | 4 (1–8), n=242 | 6 (0–9), n=18 | 4 (1–8), n=6 |
| Chronicity index, median (IQR) | 3 (1–5), n=269 | 3 (1–5), n=244 | 5 (0–5), n=19 | 2 (1–4), n=6 |
| History of aPL antibodies, n (%) | n=383 | n=347 | n=29 | n=7 |
| aPL by ACR criteria | 123 (32.1) | 112 (32.3) | 11 (37.9) | 0 (0.0) |
| Biopsy history, n (%) | n=419 | n=379 | n=33 | |
| First biopsy | 157 (37.5) | 140 (36.9) | 14 (42.4) | 3 (42.9) |
| Previously biopsied | 262 (62.5) | 239 (63.1) | 19 (57.6) | 4 (57.1) |
| Medication at biopsy, n (%) | n=419 | n=381 | n=31 | n=7 |
| Hydroxychloroquine | 354 (84.5) | 317 (83.2) | 31 (100.0) | 6 (85.7) |
| Prednisone | 254 (60.6) | 231 (60.6) | 19 (61.3) | 4 (57.1) |
| Azathioprine | 33 (7.9) | 27 (7.1) | 4 (12.9) | 2 (28.6) |
| Mycophenolate mofetil/mycophenolic acid | 181 (43.2) | 168 (44.1) | 11 (35.5) | 2 (28.6) |
| Pulse steroids (500 mg or 1000 mg) | 18 (4.3) | 14 (3.7) | 3 (9.7) | 1 (14.3) |
| Cytoxan | 7 (1.7) | 7 (1.8) | 0 (0.0) | 0 (0.0) |
| Tacrolimus | 23 (5.5) | 21 (5.5) | 1 (3.2) | 1 (14.3) |
| Clinical laboratory values | ||||
| Random UPCR, median (IQR) | 1.9 (1.0–3.7), n=419 | 1.9 (1.1–3.7), n=382,mean=2.86 | 2.2 (1.3–3.8), n=30, | 3.0 (1.4–9.5), mean=5.37 |
| Platelet count (cells x 109/L), median (IQR) | 237 (187–297), n=439 | 240 (192–301), n=399, mean=252 | 220 (178–271), n=33, mean=231 | 207 (145–256), mean=207 |
| Platelet count <100 cells x 109/L, n (%) | 10 (3) | 2 (6) | 0 (0) | |
| Serum creatinine, median (IQR) | 0.9 (0.7–1.4), n=421 | 0.9 (0.7–1.4), n=383, mean=1.21 | 0.9 (0.7–1.5), n=31, mean=1.14 | 0.8 (0.5–2.3), mean=1.28 |
| Research biopsy length (mm), median (IQR) | 7 (5–11), n=363 | 7.3 (5–10), n=336, mean=8.58 | 7.5 (5–13), n=22, mean=8.39 | 5 (4.5–9.5), n=5, mean=6.6 |
| Number of passes (NYU only), median (IQR) | 3 (2–3), n=153 | 3 (2–3), n=140, mean=3.07 | 3 (3–4), n=9, mean=3.44 | 3 (2.5–3), n=4, mean=2.75 |
ACR, American College of Rheumatology; AE, adverse event; aPL, antiphospholipid; NYU, New York University; UPCR, urine protein to creatinine ratio.
Figure 1Flow diagram of adverse events (AEs) by relationship and seriousness.
Kidney biopsy complications
| AE type | n | Serious* | Requiring transfusion | Resolved |
| Related (possibly, probably, definitely) | ||||
| Bleed-related complication | ||||
| Jet | 2 | 0 | 0 | 2 |
| Haematoma | 30 | 18 | 4 | 30 |
| Haemoglobin decrease | 10 | 9 | 4 | 10 |
| No haemoglobin decrease | 20 | 9 | 0 | 20 |
| AV fistula | 1 | 0 | 0 | 1 |
| Pain, only | 1 | 0 | 0 | 1 |
| Unrelated (unlikely, remote) | ||||
| Pain (flank/vaginal/abdominal) | 3 | 1 | 0 | 3 |
| Pain/SOB | 1 | 0 | 0 | 1 |
| Cardiac arrest | 1 | 1 | 0 | 0 |
| Fall | 1 | 1 | 0 | 1 |
| Haemoglobin decrease/sepsis | 1 | 1 | 1 | 1 |
*All serious adverse events (AEs) required hospitalisation.
AV, arteriovenous; SOB, shortness of breath.