| Literature DB >> 33102962 |
Harish Seethapathy1, Sophia Zhao1, Ian A Strohbehn2, Meghan Lee2, Donald F Chute1, Halla Bates1, Gabriel E Molina3, Leyre Zubiri3, Shruti Gupta4, Shveta Motwani4, David E Leaf4, Ryan J Sullivan3, Osama Rahma5, Kimberly G Blumenthal6, Alexandra-Chloe Villani6, Kerry L Reynolds3, Meghan E Sise1.
Abstract
BACKGROUND: Programmed cell death receptor ligand 1 (PD-L1) inhibitors are immune checkpoint inhibitors (ICIs) with a side effect profile that may differ from other classes of ICIs such as those directed against cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and programmed cell death 1 receptor (PD-1). Being the more recently approved class of checkpoint inhibitors, there are no studies investigating the frequency, etiology and predictors of acute kidney injury (AKI) in patients receiving PD-L1 inhibitors.Entities:
Keywords: PD-L1 inhibitors; acute interstitial nephritis; acute kidney injury; immune checkpoint inhibitor; immune-related adverse events
Year: 2020 PMID: 33102962 PMCID: PMC7569697 DOI: 10.1016/j.ekir.2020.07.011
Source DB: PubMed Journal: Kidney Int Rep ISSN: 2468-0249
Figure 1Patient flow and acute kidney injury (AKI) outcomes among patients treated with programmed death ligand-1 (PD-L1) inhibitors. Overall, 17% of the included cohort developed AKI. ∗Among patients with transient AKI (lasting <48 hours), 36 (53%) occurred in outpatients; the majority did not have creatinine measurements immediately repeated, but it normalized by the following clinic visit (mean: 14 days, SD: 9 days until next check). Among those with AKI that was confirmed to have been sustained AKI, lasting for >48 hours, the etiology and Kidney Disease: Improving Global Outcomes (KDIGO) severity stage are shown. ∗∗Of the 9 patients with KDIGO grade 3 AKI, 4 patients had progressive kidney failure and died during the hospital stay, and none underwent renal replacement therapy. ATN, acute tubular necrosis; SCr, serum creatinine.
Baseline characteristics of patients receiving PD-L1 inhibitor therapy
| Characteristic | All patients | No sustained AKI | Sustained AKI | PD-L1 inhibitor–related AKI |
|---|---|---|---|---|
| Mean ± SD or n (%) | ||||
| Patients, n | 599 | 563 | 36 | 5 |
| Age, yr | 65 ± 13 | 63 ± 14 | 63 ± 12 | 65 ± 12 |
| Baseline creatinine, mg/dl | 1.0 ± 0.3 | 1.0 ± 0.3 | 1.0 ± 0.3 | 1.0 ± 0.3 |
| eGFR, ml/min | 88 ± 26 | 89 ± 26 | 82 ± 26 | 80 ± 20 |
| Male | 298 (50) | 281 (50) | 17 (47) | 2 (40) |
| Female | 301 (50) | 282 (50) | 19 (53) | 3 (60) |
| Race | ||||
| White | 554 (92) | 521 (92) | 33 (91) | 5 (100) |
| Black | 16 (3) | 15 (3) | 1 (3) | 0 |
| Asian | 11 (2) | 10 (2) | 1 (3) | 0 |
| Other/unknown | 18 (3) | 17 (3) | 1 (3) | 0 |
| Cirrhosis | 7 (1) | 7 (1) | 0 | 0 |
| Hypertension | 242 (40) | 229 (41) | 13 (36) | 2 (40) |
| Diabetes | 113 (19) | 103 (18) | 10 (28) | 0 |
| Baseline medications | ||||
| PPI | 210 (35) | 192 (34) | 18 (50) | 1 (20) |
| H2 blockers | 113 (19) | 104 (18) | 9 (25) | 0 |
| NSAIDs | 103 (17) | 95 (17) | 8 (22) | 1 (20) |
| Allopurinol | 12 (2) | 11 (2) | 1 (3) | 0 |
| ACEI/ARB | 135 (23) | 128 (23) | 7 (19) | 0 |
| Baseline kidney function, eGFR group | ||||
| <60 ml/min per 1.73 m2 | 99 (17) | 92 (16) | 7 (19) | 1 (20) |
| 60−90 ml/min per 1.73 m2 | 208 (35) | 192 (34) | 16 (44) | 3 (60) |
| >90 ml/min per 1.73 m2 | 292 (49) | 179 (50) | 13 (36) | 1 (20) |
| PD1 inhibitor type | ||||
| Atezolizumab | 347 (58) | 322 (57) | 25 (69) | 4 (80) |
| Avelumab | 99 (16) | 93 (17) | 6 (17) | 0 |
| Durvalumab | 153 (26) | 148 (26) | 5 (14) | 1 (20) |
| Malignancy | ||||
| Thoracic | 255 (43) | 244 (43) | 11 (31) | 2 (40) |
| Genitourinary | 117 (19) | 106 (19) | 11 (31) | 3 (60) |
| Gynecological | 67 (11) | 61 (11) | 6 (17) | 0 |
| Gastrointestinal | 64 (11) | 61 (11) | 3 (8) | 0 |
| Breast | 38 (6) | 36 (6) | 2 (5) | 0 |
| Other | 58 (10) | 55 (10) | 3 (8) | 0 |
ACEI, angiotensin-converting enzyme inhibitor; AKI, acute kidney injury; ARB, angiotensin receptor blocker; eGFR, estimated glomerular filtration rate, NSAID, nonsteroidal anti-inflammatory drug; PD1, programmed cell death 1 receptor; PD-L1, programmed cell death ligand 1.
Baseline characteristics for ‘All patients’ are shown as a percentage of the overall cohort (N = 599). For the outcomes, sustained AKI and immune checkpoint inhibitor−related AKI, the percentage of events in each subgroup is presented. The first sustained AKI event was specified as the outcome for each patient. Comorbid conditions, including hypertension and cirrhosis, were determined by International Classification of Diseases Ninth or Tenth Revision codes appearing at least twice in the electronic medical record. Diagnosis of diabetes was determined by either a hemoglobin A1c ≥ 6.5% or by prescription of a glucose-lowering medication and a diagnosis code for diabetes. Other than race being unknown in a few patients, there were no missing demographic or comorbidities data.
In univariable models comparing demographic and clinical characteristics of patients who experienced “sustained AKI” vs. those who did not, only baseline proton pump inhibitor exposure (0.05) was significant at a P value of <0.10. This was included in the multivariable model for “sustained AKI” along with other clinically important variables that were determined a priori to be exposures of interest.
Figure 2Overall incidence of all acute kidney injury (AKI), sustained AKI, and programmed death ligand-1 (PD-L1)–related AKI in patients receiving atezolizumab, durvalumab, and avelumab. Among the 347 patients who received atezolizumab, 64 patients (18%) experienced any AKI, 25 (7%) had sustained AKI, and 4 (1%) had PD-L1–related AKI. Among the 153 patients who received durvalumab, 21 (14%) experienced any AKI, 5 (3%) had sustained AKI, and 1 (1%) experienced PD-L1–related AKI. Among the 99 patients who received avelumab, 19 (19%) experienced any AKI, 6 (6%) had sustained AKI, and none had PD-L1–related AKI.
Clinical characteristics of patients with suspected PD-L1–related AKI
| Age/race/sex | Cancer type | PD-L1 drug type | Time to AKI, mo | KDIGO AKI stage | Concurrent AIN-associated medications | Concurrent irAE | Kidney biopsy | Steroids | Outcome | Re-challenge |
|---|---|---|---|---|---|---|---|---|---|---|
| 65 WF | SCLC | Atezolizumab | 2 | 1 | PPI | Hypothyroidism | No | No | Transitioned to hospice and died | No |
| 65 WF | RCC | Atezolizumab | 6 | 2 | PPI, NSAIDs, amoxicillin | Colitis | No | Yes | Partial recovery but not to baseline | No |
| 50 WM | Bladder cancer | Atezolizumab | 8 | 1 | Ciprofloxacin | 0 | Yes (AIN) | Yes | No recovery | No |
| 65 WM | Bladder cancer | Atezolizumab | 4 | 3 | Levofloxacin | 0 | No | Yes | Full recovery to baseline | No |
| 55 WF | NSCLC | Durvalumab | 4 | 1 | SAIDs | Immune-related cytopenias | No | No | Full recovery to baseline | Yes |
AIN, acute interstitial nephritis; AKI, acute kidney injury; irAE, immune-related adverse event; NSAIDs, nonsteroidal anti-inflammatory drugs; NSCLC, non–small cell lung cancer; PD-L1, programmed cell death receptor ligand 1; PPI, proton pump inhibitor; RCC, renal cell cancer; SCLC, small cell lung cancer; WF, white female; WM, white male.
Figure 3Incidence of programmed death ligand-1 (PD-L1)–related acute kidney injury (AKI) compared to historical estimates of cytotoxic T-lymphocyte−associated protein 4 (CTLA-4), programmed cell death 1 receptor (PD-1), and CTLA-4/PD-1 combination therapy–related AKI. The incidence of immune checkpoint inhibitor (ICI)–related AKI from clinical trial data was gathered in 2 meta-analyses (Cortazar et al. [2016] and Manohar et al. [2019]) and 1 observational real-world study (Seethapathy et al. [2019]). The incidence of CTLA-4–related AKI was 2% in Cortazar et al. and 4.8% in Seethapathy et al. The incidence of PD-1 related AKI was 1.9% in Cortazar et al., 2.2% in Manohar et al., and 2.3% in Seethapathy et al. The incidence of ICI-AKI with combination CTLA-4 and PD-1 therapy was 4.9% from Cortazar et al. In comparison, the incidence of PD-L1–related AKI was 0.8% in our study.