| Literature DB >> 34625513 |
Shruti Gupta1, Samuel A P Short2, Meghan E Sise3, Jason M Prosek4, Sethu M Madhavan4, Maria Jose Soler5, Marlies Ostermann6, Sandra M Herrmann7, Ala Abudayyeh8, Shuchi Anand9, Ilya Glezerman10, Shveta S Motwani11, Naoka Murakami12, Rimda Wanchoo13, David I Ortiz-Melo14, Arash Rashidi15, Ben Sprangers16,17, Vikram Aggarwal18, A Bilal Malik19, Sebastian Loew20, Christopher A Carlos21, Wei-Ting Chang22,23,24, Pazit Beckerman25, Zain Mithani26, Chintan V Shah27, Amanda D Renaghan28, Sophie De Seigneux29, Luca Campedel30, Abhijat Kitchlu31, Daniel Sanghoon Shin32, Sunil Rangarajan33, Priya Deshpande34, Gaia Coppock35, Mark Eijgelsheim36, Harish Seethapathy3, Meghan D Lee3, Ian A Strohbehn3, Dwight H Owen37, Marium Husain37, Clara Garcia-Carro5,38, Sheila Bermejo5, Nuttha Lumlertgul39,40, Nina Seylanova39,41, Lucy Flanders42, Busra Isik7, Omar Mamlouk8, Jamie S Lin8, Pablo Garcia9, Aydin Kaghazchi43, Yuriy Khanin13, Sheru K Kansal15, Els Wauters44,45, Sunandana Chandra46, Kai M Schmidt-Ott20,47, Raymond K Hsu21, Maria C Tio12, Suraj Sarvode Mothi12, Harkarandeep Singh12, Deborah Schrag48, Kenar D Jhaveri13, Kerry L Reynolds49, Frank B Cortazar50, David E Leaf12.
Abstract
BACKGROUND: Immune checkpoint inhibitor-associated acute kidney injury (ICPi-AKI) has emerged as an important toxicity among patients with cancer.Entities:
Keywords: CTLA-4 antigen; immunotherapy; programmed cell death 1 receptor
Mesh:
Substances:
Year: 2021 PMID: 34625513 PMCID: PMC8496384 DOI: 10.1136/jitc-2021-003467
Source DB: PubMed Journal: J Immunother Cancer ISSN: 2051-1426 Impact factor: 13.751
Baseline characteristics
| Variable | ICPi-AKI (n=429) | No ICPi-AKI (n=429) | P value |
| Age at ICPi initiation, years, median (IQR) | 68 (59–75) | 65 (58–73) | 0.02 |
| Male, n (%) | 266 (62.0) | 251 (58.5) | 0.32 |
| Race, n (%) | 0.99 | ||
| White | 351 (81.8) | 350 (81.6) | |
| Black | 27 (6.3) | 24 (5.6) | |
| Asian | 21 (4.9) | 21 (4.9) | |
| Other/unknown | 30 (7.0) | 34 (7.9) | |
| Comorbidities, n (%) | |||
| Hypertension | 251 (58.5) | 229 (53.4) | 0.15 |
| Diabetes | 77 (17.9) | 61 (14.2) | 0.16 |
| CHF | 17 (4.0) | 9 (2.1) | 0.16 |
| COPD | 45 (10.5) | 46 (10.7) | 0.99 |
| Cirrhosis | 11 (2.6) | 10 (2.3) | 0.99 |
| Body mass index, median (IQR) | 26 (23–30) | 26 (22–29) | 0.12 |
| Baseline SCr, mg/dL, median (IQR) | 0.97 (0.80–1.21) | 0.88 (0.73–1.07) | <0.001 |
| Baseline eGFR,*(mL/min per 1.73 m2 | |||
| Median (IQR) | 73 (57–90) | 83 (66–97) | <0.001 |
| eGFR categories, n (%) | <0.001 | ||
| ≥90 | 111 (25.9) | 168 (39.2) | |
| 60–89 | 192 (44.8) | 189 (44.1) | |
| 45–59 | 72 (16.8) | 44 (10.3) | |
| 30–44 | 43 (10.0) | 23 (5.4) | |
| <30 | 11 (2.6) | 5 (1.2) | |
| Autoimmune disease, n (%) | 42 (9.8) | 56 (13.1) | 0.16 |
| Extrarenal irAE,† n (%) | 201 (46.9) | 123 (28.7) | <0.001 |
| Malignancy, n (%) | 0.01 | ||
| Melanoma | 104 (24.2) | 93 (21.7) | |
| Lung | 126 (29.4) | 133 (31.0) | |
| Genitourinary | 100 (23.8) | 70 (16.7) | |
| Other | 99 (23.6) | 133 (31.7) | |
| PPI,‡ n (%) | 208 (45.5) | 115 (26.8) | <0.001 |
| Concomitant nephrotoxic chemotherapy,§ n (%) | |||
| Cisplatin | 7 (1.6) | NA | |
| VEGF/TKI | 23 (5.4) | NA | |
| Other¶ | 43 (10.0) | NA | |
| ICPi class, n (%) | |||
| Anti-CTLA-4 | 103 (24.0) | 95 (22.1) | 0.57 |
| Anti-PD-1 | 347 (80.9) | 355 (82.8) | 0.54 |
| Anti-PD-L1 | 42 (9.8) | 30 (7.0) | 0.18 |
| Combo anti-CTLA-4+ anti-PD-1/PD-L1 | 99 (23.1) | 75 (17.5) | 0.05 |
Data are shown as median (IQR) and n (%).
Data on body mass index are missing in one patient with ICPi-AKI and one without ICPi-AKI. Data on PPI use are missing in two patients without ICPi-AKI. All other data are complete.
*Baseline eGFR calculated based on Chronic Kidney Disease-Epidemiology Collaboration equation.33
†Extrarenal irAEs were assessed prior to (>14 days) or concomitant (within 14 days before or after) with ICPi-AKI diagnosis among patients with ICPi-AKI, and at any time after ICPi initiation among patients without ICPi-AKI.
‡PPIs were assessed in the 14 days preceding AKI among patients with ICPi-AKI, and were assessed at ICPi initiation in patients without ICPi-AKI.
§Concomitant chemotherapies were assessed in the 30 days preceding ICPi-AKI.
¶Includes pemetrexed (n=28), carboplatin (n=23), BRAF inhibitors (n=2), and paclitaxel (n=1).
AKI, acute kidney injury; BRAF, v-raf murine sarcoma viral oncogene homolog B1; CHF, congestive heart failure; Combo, combination therapy; COPD, chronic obstructive pulmonary disease; CTLA-4, cytotoxic T lymphocyte-associated antigen 4; eGFR, estimated glomerular filtration rate; ICPi, immune checkpoint inhibitor; irAEs, immune-related adverse events; NA, not assessed; PD-1, programmed cell death 1; PD-L1, programmed death-ligand 1; PPI, proton pump inhibitor; SCr, serum creatinine; TKI, tyrosine kinase inhibitor; VEGF, vascular endothelial growth factor.
Figure 1Risk factors for ICPi-AKI. Total n=856, of whom 429 had ICPi-AKI and 427 did not have ICPi-AKI. All model covariates are shown in the figure. *Denotes PPI use in the 14 days preceding ICPi-AKI among those with ICPi-AKI, and PPI use at the time of ICPi initiation among patients without ICPi-AKI. **Extrarenal irAEs were assessed prior to (>14 days) or concomitant (within 14 days before or after) with ICPi-AKI diagnosis among patients with ICPi-AKI, and at any time after ICPi initiation among patients without ICPi-AKI. eGFR, estimated glomerular filtration rate; ICPi, immune checkpoint inhibitor; irAEs, immune-related adverse events; PPI, proton pump inhibitor.
Figure 2Clinical features of ICPi-AKI. (A) The number of weeks between ICPi initiation and ICPi-AKI diagnosis. (B) The number of weeks between the last ICPi cycle and ICPi-AKI diagnosis. (C) Distribution of AKI severity. (D) Serum creatinine trend (median, IQR). (E) Frequency of extrarenal irAEs occurring before (>14 days) or concomitant (within 14 days before or after) with ICPi-AKI diagnosis. Other irAEs include hypophysitis (0.7% prior, 1.4% concomitantly), adrenalitis (0.2% prior, 1.4% concomitantly), type 1 diabetes mellitus (0% prior, 0.5% concomitantly), and myocarditis (1.2% prior, 0.2% concomitantly). (F) Distribution of pathologies among the 151 patients who underwent biopsy. Other includes 2 patients with FSGS and one patient with each of the following: reactive amyloidosis, AA amyloidosis, focal proliferative glomerulonephritis with C3 deposits, immune complex deposition disease not otherwise specified, mesangial proliferative immune complex mediated glomerulonephritis, pauci-immune glomerulonephritis, minimal change disease and thrombotic microangiopathy. (G) Frequency of potential ATIN-causing medications taken within 14 days before ICPi-AKI diagnosis. (H) Frequency of blood on UA at the time of ICPi-AKI. (I) Frequency of leukocyte esterase on UA at the time of ICPi-AKI. (J) Frequency of pyuria on UA at the time of ICPi-AKI. (K) Frequency of proteinuria at the time of ICPi-AKI. (L) Frequency of eosinophilia at the time of ICPi-AKI. AKI, acute kidney injury; ATIN, acute tubulointerstitial nephritis; ATN, acute tubular necrosis; FSGS, focal segmental glomerulosclerosis; HPF, high-power field; ICPi, immune checkpoint inhibitor; MN, membranous nephropathy; UA, urinalysis; UPCR, urine protein-to-creatinine ratio; WBCs, white blood cells.
Figure 3Treatment of ICPi-AKI. (A) Frequency of treatment with oral or intravenous corticosteroids by stage of initial ICPi-AKI. (B) Frequency of treatment with intravenous pulse dose corticosteroids by stage of initial ICPi-AKI. (C) Distribution of days between ICPi-AKI diagnosis and initiation of corticosteroids. (D) Distribution of initial corticosteroid dose (in prednisone equivalent units [mg]). AKI, acute kidney injury; ICPi, immune checkpoint inhibitor.
Figure 4Characteristics of renal recovery among patients with ICPi-AKI. (A) Renal recovery overall and according to initial ICPi-AKI stage. (B) Time (in weeks) from ICPi-AKI diagnosis to renal recovery. (C) Predictors of renal recovery (total n=405, of whom 270 (66.7%) had renal recovery and 135 (33.3%) did not). Renal recovery was defined as a return of serum creatinine to ≤50% of the baseline value within 90 days of ICPi-AKI. Patients who died within 14 days of ICPi-AKI (n=24) were excluded. All model covariates are shown in the figure. *Denotes receipt of NSAIDs, PPIs, or antibiotics in the 14 days preceding ICPi-AKI. **Extrarenal irAEs were assessed concomitantly (within 14 days before or after) with ICPi-AKI diagnosis. ***Refers to oral or intravenous corticosteroids initiated within 14 days following ICPi-AKI. AKI, acute kidney injury; ATIN, acute tubulointerstitial nephritis; eGFR, estimated glomerular filtration rate; ICPi, immune checkpoint inhibitor; irAEs, immune-related adverse events; NSAIDs, non-steroidal anti-inflammatory drugs; PPI, proton pump inhibitor; UPCR, urine protein-to-creatinine ratio.
Figure 5Risk factors for death in patients with ICPi-AKI. (A) Survival among patients with stages 1 and 2 ICPi-AKI versus stage 3. (B) Multivariable Cox regression model showing predictors of death among patients with ICPi-AKI (total n=405, of whom 144 (35.6% (died)). Patients who died within 14 days of ICPi-AKI (n=24) were excluded. All model covariates are shown in the figure. *Denotes receipt of NSAIDs, PPIs, or antibiotics in the 14 days preceding ICPi-AKI. **Extrarenal irAEs were assessed prior to (>14 days) or concomitant (within 14 days before or after) with ICPi-AKI. ***Refers to oral or intravenous corticosteroids initiated within 14 days following ICPi-AKI. AKI, acute kidney injury; ATIN, acute tubulointerstitial nephritis; eGFR, estimated glomerular filtration rate; ICPi, immune checkpoint inhibitor; irAEs, immune-related adverse events; NSAIDs, non-steroidal anti-inflammatory drugs; PPI, proton pump inhibitor.