Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2021 Oct;9(10):e003467.
doi: 10.1136/jitc-2021-003467.

Acute kidney injury in patients treated with immune checkpoint inhibitors

Shruti Gupta  1 Samuel A P Short  2 Meghan E Sise  3 Jason M Prosek  4 Sethu M Madhavan  4 Maria Jose Soler  5 Marlies Ostermann  6 Sandra M Herrmann  7 Ala Abudayyeh  8 Shuchi Anand  9 Ilya Glezerman  10 Shveta S Motwani  11 Naoka Murakami  12 Rimda Wanchoo  13 David I Ortiz-Melo  14 Arash Rashidi  15 Ben Sprangers  16   17 Vikram Aggarwal  18 A Bilal Malik  19 Sebastian Loew  20 Christopher A Carlos  21 Wei-Ting Chang  22   23   24 Pazit Beckerman  25 Zain Mithani  26 Chintan V Shah  27 Amanda D Renaghan  28 Sophie De Seigneux  29 Luca Campedel  30 Abhijat Kitchlu  31 Daniel Sanghoon Shin  32 Sunil Rangarajan  33 Priya Deshpande  34 Gaia Coppock  35 Mark Eijgelsheim  36 Harish Seethapathy  3 Meghan D Lee  3 Ian A Strohbehn  3 Dwight H Owen  37 Marium Husain  37 Clara Garcia-Carro  5   38 Sheila Bermejo  5 Nuttha Lumlertgul  39   40 Nina Seylanova  39   41 Lucy Flanders  42 Busra Isik  7 Omar Mamlouk  8 Jamie S Lin  8 Pablo Garcia  9 Aydin Kaghazchi  43 Yuriy Khanin  13 Sheru K Kansal  15 Els Wauters  44   45 Sunandana Chandra  46 Kai M Schmidt-Ott  20   47 Raymond K Hsu  21 Maria C Tio  12 Suraj Sarvode Mothi  12 Harkarandeep Singh  12 Deborah Schrag  48 Kenar D Jhaveri  13 Kerry L Reynolds  49 Frank B Cortazar  50 David E Leaf  12 ICPi-AKI Consortium Investigators
Collaborators, Affiliations
Multicenter Study

Acute kidney injury in patients treated with immune checkpoint inhibitors

Shruti Gupta et al. J Immunother Cancer. 2021 Oct.

Erratum in

Abstract

Background: Immune checkpoint inhibitor-associated acute kidney injury (ICPi-AKI) has emerged as an important toxicity among patients with cancer.

Methods: We collected data on 429 patients with ICPi-AKI and 429 control patients who received ICPis contemporaneously but who did not develop ICPi-AKI from 30 sites in 10 countries. Multivariable logistic regression was used to identify predictors of ICPi-AKI and its recovery. A multivariable Cox model was used to estimate the effect of ICPi rechallenge versus no rechallenge on survival following ICPi-AKI.

Results: ICPi-AKI occurred at a median of 16 weeks (IQR 8-32) following ICPi initiation. Lower baseline estimated glomerular filtration rate, proton pump inhibitor (PPI) use, and extrarenal immune-related adverse events (irAEs) were each associated with a higher risk of ICPi-AKI. Acute tubulointerstitial nephritis was the most common lesion on kidney biopsy (125/151 biopsied patients [82.7%]). Renal recovery occurred in 276 patients (64.3%) at a median of 7 weeks (IQR 3-10) following ICPi-AKI. Treatment with corticosteroids within 14 days following ICPi-AKI diagnosis was associated with higher odds of renal recovery (adjusted OR 2.64; 95% CI 1.58 to 4.41). Among patients treated with corticosteroids, early initiation of corticosteroids (within 3 days of ICPi-AKI) was associated with a higher odds of renal recovery compared with later initiation (more than 3 days following ICPi-AKI) (adjusted OR 2.09; 95% CI 1.16 to 3.79). Of 121 patients rechallenged, 20 (16.5%) developed recurrent ICPi-AKI. There was no difference in survival among patients rechallenged versus those not rechallenged following ICPi-AKI.

Conclusions: Patients who developed ICPi-AKI were more likely to have impaired renal function at baseline, use a PPI, and have extrarenal irAEs. Two-thirds of patients had renal recovery following ICPi-AKI. Treatment with corticosteroids was associated with improved renal recovery.

Keywords: CTLA-4 antigen; immunotherapy; programmed cell death 1 receptor.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Risk 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 2
Figure 2
Clinical 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 2
Figure 2
Clinical 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 3
Figure 3
Treatment 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 4
Figure 4
Characteristics 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 5
Figure 5
Risk 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.

References

    1. Robert C. A decade of immune-checkpoint inhibitors in cancer therapy. Nat Commun 2020;11. 10.1038/s41467-020-17670-y - DOI - PMC - PubMed
    1. Manohar S, Kompotiatis P, Thongprayoon C, et al. Programmed cell death protein 1 inhibitor treatment is associated with acute kidney injury and hypocalcemia: meta-analysis. Nephrol Dial Transplant 2019;34:108–17. 10.1093/ndt/gfy105 - DOI - PubMed
    1. Cortazar FB, Kibbelaar ZA, Glezerman IG, et al. Clinical features and outcomes of immune checkpoint Inhibitor–Associated AKI: a multicenter study. JASN 2020;31:435–46. 10.1681/ASN.2019070676 - DOI - PMC - PubMed
    1. Seethapathy H, Zhao S, Chute DF, et al. The incidence, causes, and risk factors of acute kidney injury in patients receiving immune checkpoint inhibitors. CJASN 2019;14:1692–700. 10.2215/CJN.00990119 - DOI - PMC - PubMed
    1. Meraz-Muñoz A, Amir E, Ng P, et al. Acute kidney injury associated with immune checkpoint inhibitor therapy: incidence, risk factors and outcomes. J Immunother Cancer 2020;8:e000467. 10.1136/jitc-2019-000467 - DOI - PMC - PubMed

Publication types

Substances