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<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="research-article" xml:lang="en"><processing-meta tagset-family="jats" base-tagset="archiving" mathml-version="3.0" table-model="xhtml"><custom-meta-group><custom-meta assigning-authority="highwire" xlink:type="simple"><meta-name>recast-jats-build</meta-name><meta-value>1d2b230b09</meta-value></custom-meta></custom-meta-group></processing-meta><front><journal-meta><journal-id journal-id-type="hwp">jitc</journal-id><journal-id journal-id-type="nlm-ta">J Immunother Cancer</journal-id><journal-id journal-id-type="publisher-id">jitc</journal-id><journal-title-group><journal-title>Journal for ImmunoTherapy of Cancer</journal-title><abbrev-journal-title abbrev-type="publisher">J Immunother Cancer</abbrev-journal-title><abbrev-journal-title>J Immunother Cancer</abbrev-journal-title></journal-title-group><issn pub-type="epub">2051-1426</issn><publisher><publisher-name>BMJ Publishing Group Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">jitc-2019-000467</article-id><article-id pub-id-type="doi">10.1136/jitc-2019-000467</article-id><article-id pub-id-type="pmid">32601079</article-id><article-id pub-id-type="apath" assigning-authority="highwire">/jitc/8/1/e000467.atom</article-id><article-categories><subj-group subj-group-type="heading"><subject>Clinical/translational cancer immunotherapy</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="publisher"><subject>Open access</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="publisher"><subject>Clinical/Translational Cancer Immunotherapy</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="highwire"><subject>Special collections</subject><subj-group><subject>JITC</subject><subj-group><subject>Clinical/Translational Cancer Immunotherapy</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="collection" assigning-authority="highwire"><subject>Special collections</subject><subj-group><subject>Open access</subject></subj-group></subj-group><series-title>Original research</series-title></article-categories><title-group><article-title>Acute kidney injury associated with immune checkpoint inhibitor therapy: incidence, risk factors and outcomes</article-title></title-group><contrib-group><contrib contrib-type="author" id="author-74938177" xlink:type="simple"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-8174-1235</contrib-id><name name-style="western"><surname>Meraz-Muñoz</surname><given-names>Alejandro</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-74938336" xlink:type="simple"><name name-style="western"><surname>Amir</surname><given-names>Eitan</given-names></name><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author" id="author-74938353" xlink:type="simple"><name name-style="western"><surname>Ng</surname><given-names>Pamela</given-names></name><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author" id="author-74938379" xlink:type="simple"><name name-style="western"><surname>Avila-Casado</surname><given-names>Carmen</given-names></name><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author" id="author-74938409" xlink:type="simple"><name name-style="western"><surname>Ragobar</surname><given-names>Claire</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-74938422" xlink:type="simple"><name name-style="western"><surname>Chan</surname><given-names>Christopher</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-74938435" xlink:type="simple"><name name-style="western"><surname>Kim</surname><given-names>Joseph</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wald</surname><given-names>Ron</given-names></name><xref ref-type="aff" rid="aff5">5</xref></contrib><contrib contrib-type="author" corresp="yes" id="author-74938446" xlink:type="simple"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-4340-5046</contrib-id><name name-style="western"><surname>Kitchlu</surname><given-names>Abhijat</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib></contrib-group><aff id="aff1">
<label>1</label>
<institution content-type="department" xlink:type="simple">Department of Medicine, Division of Nephrology</institution>, <institution xlink:type="simple">University Health Network</institution>, <addr-line content-type="city">Toronto</addr-line>, <addr-line content-type="state">Ontario</addr-line>, <country>Canada</country>
</aff><aff id="aff2">
<label>2</label>
<institution content-type="department" xlink:type="simple">Department of Medicine, Division of Medical Oncology and Hematology</institution>, <institution xlink:type="simple">University Health Network</institution>, <addr-line content-type="city">Toronto</addr-line>, <addr-line content-type="state">Ontario</addr-line>, <country>Canada</country>
</aff><aff id="aff3">
<label>3</label>
<institution content-type="department" xlink:type="simple">Department of Pharmacy</institution>, <institution xlink:type="simple">University Health Network</institution>, <addr-line content-type="city">Toronto</addr-line>, <addr-line content-type="state">Ontario</addr-line>, <country>Canada</country>
</aff><aff id="aff4">
<label>4</label>
<institution content-type="department" xlink:type="simple">Department of Pathology</institution>, <institution xlink:type="simple">University Health Network</institution>, <addr-line content-type="city">Toronto</addr-line>, <addr-line content-type="state">Ontario</addr-line>, <country>Canada</country>
</aff><aff id="aff5">
<label>5</label>
<institution content-type="department" xlink:type="simple">Department of Medicine</institution>, <institution xlink:type="simple">Division of Nephrology, Unity Health</institution>, <addr-line content-type="city">Toronto</addr-line>, <addr-line content-type="state">Ontario</addr-line>, <country>Canada</country>
</aff><author-notes><corresp>
<label>Correspondence to</label> Dr Abhijat Kitchlu; <email xlink:type="simple">Abhijat.kitchlu@uhn.ca</email>
</corresp></author-notes><pub-date date-type="pub" iso-8601-date="2020-06" pub-type="ppub" publication-format="print"><month>6</month><year>2020</year></pub-date><pub-date date-type="pub" iso-8601-date="2020-06-29" pub-type="epub-original" publication-format="electronic"><day>29</day><month>6</month><year>2020</year></pub-date><pub-date iso-8601-date="2019-12-20T04:54:25-08:00" pub-type="hwp-received"><day>20</day><month>12</month><year>2019</year></pub-date><pub-date iso-8601-date="2019-12-20T04:54:25-08:00" pub-type="hwp-created"><day>20</day><month>12</month><year>2019</year></pub-date><pub-date iso-8601-date="2020-06-29T17:58:59-07:00" pub-type="epub"><day>29</day><month>6</month><year>2020</year></pub-date><volume>8</volume><issue>1</issue><elocation-id>e000467</elocation-id><history><date date-type="accepted" iso-8601-date="2020-05-26"><day>26</day><month>05</month><year>2020</year></date></history><permissions><copyright-statement>© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</copyright-statement><copyright-year>2020</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/" xlink:type="simple"><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" start_date="2020-06-29">http://creativecommons.org/licenses/by-nc/4.0/</ali:license_ref><license-p>This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/" xlink:type="simple">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="jitc-2019-000467.pdf" xlink:type="simple"/><abstract><sec><title>Background</title><p>Immune checkpoint inhibitors (ICPi) are a novel and promising anti-cancer therapy. There are limited data on the incidence, risk factors and outcomes of acute kidney injury (AKI) in patients receiving ICPi.</p></sec><sec><title>Methods</title><p>We conducted a cohort study of patients receiving ICPi at our center between 2010 and 2017 via electronic health record. The primary outcome was AKI (increase of &gt;50% from baseline serum creatinine (sCr)). Risk factors for AKI were assessed using logistic regression. Survival among those with and without AKI was compared using the Kaplan-Meier method.</p></sec><sec><title>Results</title><p>Among 309 patients on ICPi, 51 (16.5%) developed AKI (Kidney Disease Improving Global Outcomes (KDIGO) stages 1: 53%, 2: 22%, 3: 25%). AKI was associated with other immune-related adverse events (IRAE) (OR 3.2, 95% CI 1.6 to 6; p&lt;0.001), hypertension (OR 4.3, 95% CI 1.8 to 6.1; p&lt;0.001) and cerebrovascular disease (OR 9.2; 95% CI 2.1 to 40; p&lt;0.001). Baseline sCr, cancer, and ICPi type was not associated with AKI. Use of angiotensin-converting enzyme inhibitors/angiotensin-receptor blockers (OR 2.9; 95% CI 1.5 to 5.7; p=0.002), diuretics (OR 4.3; 95% CI 1.9 to 9.8; p&lt;0.001), and corticosteroid treatment (OR 1.9; 95% CI 1.1 to 3.6; p=0.03) were associated with AKI. In the multivariable analysis, AKI was associated only with other IRAE (OR 2.82; 95% CI 1.45 to 5.48; p=0.002) and hypertension (OR 2.96; 95% CI 1.33 to 6.59; p=0.008). AKI was not associated with increased risk of mortality (HR 1.1; 95% CI: 0.8 to 1.6; p=0.67). ICPi nephrotoxicity was attributed via biopsy or nephrologist assessment in 12 patients (six interstitial nephritis, two membranous nephropathy, two minimal change disease, and two thrombotic microangiopathy). Subsequent doses of ICPi were administered to 12 patients with prior AKI, with one (8.3%) having recurrent AKI.</p></sec><sec><title>Conclusion</title><p>AKI is a common complication in patients receiving ICPi treatment. The development of other IRAE and previous diagnosis of hypertension were associated with increased AKI risk. AKI was not associated with worse survival. Distinguishing kidney IRAE from other causes of AKI will present a frequent challenge to oncology and nephrology practitioners. Kidney biopsy should be considered to characterize kidney lesions and guide potential therapy.</p></sec></abstract><kwd-group><kwd>immunotherapy</kwd><kwd>CTLA-4 Antigen</kwd><kwd>programmed cell death 1 receptor</kwd></kwd-group><custom-meta-group><custom-meta xlink:type="simple"><meta-name>special-feature</meta-name><meta-value>unlocked</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>special-property</meta-name><meta-value>contains-inline-supplementary-material</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Immune checkpoint inhibitors (ICPi) are a novel and promising anti-cancer therapy. This novel class of drugs are humanized antibodies that inhibit down-regulatory immune pathways (including cytotoxic T-lymphocyte antigen 4 (CTLA-4) and programmed cell death 1 (PD-1) or its ligand, (PD-L1)) with the objective of enhancing the anti-tumor immune response.<xref ref-type="bibr" rid="R1">1</xref> These therapies are used increasingly in a wide spectrum of cancers such as melanoma, lung cancer, urothelial and renal cell carcinomas, among others.<xref ref-type="bibr" rid="R2">2</xref> However, by increasing the activity of the immune system, ICPi can precipitate inflammatory side effects, which are termed immune-related adverse events (IRAE). These most commonly affect the skin, gastrointestinal tract, liver and endocrine system, but may involve any organ system, including the kidneys.<xref ref-type="bibr" rid="R2 R3">2 3</xref> A spectrum of kidney IRAE have been described in case reports and smaller series, including, acute interstitial nephritis (AIN), acute tubular necrosis (ATN), and less commonly, glomerular disease.<xref ref-type="bibr" rid="R4 R5 R6 R7 R8">4–8</xref>
</p><p>Data on the incidence and characteristics of nephrotoxicity from ICPi are limited and derived largely from small case series and oncologic studies which reported on kidney safety outcomes using the Common Terminology Criteria for Adverse Effects (CTCAE) for an acute kidney injury (AKI) diagnosis. The incidence of nephrotoxicity with these agents has been reported to be as low as 2% with a single agent nivolumab and up to 4.5% when a combination of ipilimumab plus nivolumab were used. These estimates were obtained from the results of phase I, II, and III cancer trials and case series that provided data on kidney adverse events.<xref ref-type="bibr" rid="R9 R10 R11 R12">9–12</xref> However, given that patients undergoing systemic treatment for cancer are at high risk for AKI via multiple mechanisms (eg, volume depletion, obstructive nephropathy, hypercalcemia, and so on), establishing ICPi-related nephrotoxicity versus other causes of AKI may be challenging.</p><p>Implicating a therapy-related cause of AKI may also have important consequences for ongoing oncologic treatment and outcomes. Only a minority of patients with cancer who develop AKI will receive nephrology assessment and even fewer may undergo kidney biopsy to definitively establish an etiology. At present, there are minimal data to identify risk factors for AKI, specifically ICPi-related nephrotoxicity, in patients receiving ICPi. Thus far, risk factors such as the presence of other IRAE, co-prescription of other drugs associated with AIN (eg, proton pump inhibitors (PPI) and antibiotics and non-steroidal anti-inflammatory drugs (NSAIDs)) have been postulated; however, limited data exists to support this. We sought to describe the incidence of AKI in all patients who received ICPi therapy (ipilimumab, nivolumab, or pembrolizumab) at a single center. Second, we assessed patient-level risk factors for AKI and the impact of AKI on clinical outcomes.</p></sec><sec id="s2" sec-type="methods"><title>Methods</title><sec id="s2-1"><title>Study design and setting</title><p>We conducted a retrospective cohort study of patients aged ≥18 years who received at least one dose of ipilimumab, nivolumab or pembrolizumab at a large academic regional cancer center (Princess Margaret Cancer Centre), in Toronto, Canada. We identified patients receiving these agents between January 1, 2010, and January 1, 2017, via an institution-wide electronic order entry system for oncologic treatments. Patients with end-stage kidney disease (ESKD) on dialysis or with previous kidney transplant were excluded (<xref ref-type="supplementary-material" rid="SP1">online supplementary figure 1</xref>).</p><supplementary-material id="SP1" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">SP1</object-id><object-id pub-id-type="doi">10.1136/jitc-2019-000467.supp1</object-id><label>Supplementary data</label><p>
<inline-supplementary-material id="SS1" xlink:href="jitc-2019-000467supp001.pdf" mime-subtype="pdf" mimetype="application" xlink:type="simple"/>
</p></supplementary-material></sec><sec id="s2-2"><title>Data sources</title><p>Patients who received ICPi therapy were identified using the electronic Oncology Pharmacy Information System (OPIS), which is used to order systemic treatments (including all ICPi) at our center, outside the setting of clinical trials. The following variables related to patient demographics and therapy administration was collected via OPIS: age, sex, weight, cancer type and stage, ICPi type and dose, and therapy start and end dates. Data were then linked to our institutional electronic patient record (EPR) in order to obtain additional baseline characteristics and serum creatinine (sCr) data. The following baseline data was abstracted from the EPR: comorbidities that may influence the development of nephrotoxicity (hypertension, diabetes, congestive heart failure, history of myocardial infarction, liver disease, autoimmune diseases, concomitant cancers, peripheral vascular diseases, cerebrovascular disease, chronic obstructive pulmonary disease or asthma, HIV status), Charlson score, potential nephrotoxic medications received while on ICPi therapy, other IRAEs before or concomitant with the AKI episode, and the last date of available follow-up. A computer algorithm was used to obtain baseline sCr (ie, the measurement obtained closest to, but prior to the date of first ICPi dose). The algorithm also provided peak sCr values during ICPi therapy as well as during the 90-day period following the last ICPi dose (in this way, we attempted to capture late ICPi-related nephrotoxicity). All sCr data obtained from the algorithm were then reviewed manually and verified.</p></sec><sec id="s2-3"><title>Outcomes</title><p>The primary outcome was incidence of AKI associated with ICPi therapy. AKI was defined and classified according to the Kidney Disease Improving Global Outcomes (KDIGO) sCr criteria.<xref ref-type="bibr" rid="R13">13</xref> We omitted the KDIGO criterion for sCr change within 7 days (as in this primarily outpatient cohort, many patients may not have had sCr drawn within the 7 days prior to AKI onset). As secondary outcomes, we included the assessment of pre-specified baseline characteristics as risk factors for the development of AKI during ICPi therapy. We also compared mortality in patients who did and did not develop AKI during therapy. Additionally, we reported the cases of nephrologist-confirmed ICPi-related nephrotoxicity and characterized these according to presumed or confirmed kidney lesion (glomerular or interstitial) via kidney biopsy. We considered cases to be nephrologist-confirmed ICPi-related nephrotoxicity only if there was a clear statement from the consulting nephrologist as to the presumptive kidney lesion or an available kidney biopsy report.</p></sec><sec id="s2-4"><title>Statistical analysis</title><p>Risk factors associated with ICPi-related AKI were assessed using logistic regression. We performed univariate regression to evaluate the relationship between all measured baseline characteristics and AKI episodes. We retained those covariates found to be significantly associated with AKI in a multivariable regression model (limiting the model to four covariates to avoid model over-fit). We reported OR with 95% CI for each covariate of interest. To assess the association between AKI and subsequent mortality, we performed survival analysis using the Kaplan-Meier method. We reported (an unadjusted) HR for mortality with 95% CI. Two-sided p values &lt;0.05 were considered statistically significant. All analyzes were performed using SPSS V.25 (Armonk, NY).</p></sec><sec id="s2-5"><title>Post hoc analyses and sensitivity analysis for AKI risk factors</title><p>We further characterized AKI episodes as either sustained (ie, an elevation of ≥1.5 times baseline sCr that persists for ≥72 hours) versus non-sustained (ie, elevation of ≥1.5 times baseline sCr with duration &lt;72 hours). In those patients without nephrologist-confirmed ICPi nephrotoxicity, we attempted to ascertain the cause of AKI via chart review and assign a presumptive etiology. We categorized these AKI episodes as ‘Possible ICPi nephrotoxicity’ versus ‘AKI likely from other causes’ (eg, pre-renal/hemodynamic, sepsis-related or obstructive AKI). We defined cases of ‘Possible ICPi nephrotoxicity’ as per the criteria proposed by Gupta <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic>.<xref ref-type="bibr" rid="R14">14</xref> In a sensitivity analysis, we repeated our analysis of risk factors for the development of AKI, including only the cases of confirmed or possible ICPi nephrotoxicity.</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><p>A total of 354 patients who received at least one dose of ICPi were screened. In all, 45 patient were excluded: 44 had duplicate data and one patient had ESKD (<xref ref-type="supplementary-material" rid="SP1">online supplementary figure 1</xref>). A total of 309 individual patients who initiated ICPi therapy were included in the study. Among them, 186 (60%) were male and the median age was 61 years (IQR 51 to 69) (<xref ref-type="table" rid="T1">table 1</xref>). The most common cancers included were melanoma 262 (85%), lung 31 (10%), and genitourinary cancers 12 (4%). The most common immunotherapy used was ipilimumab (70.9%) alone or in combination. Baseline estimated glomerular filtration rate (eGFR) using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation<xref ref-type="bibr" rid="R15">15</xref>, was 88 (IQR 75 to 99) mL/min/1.73 m<sup>2</sup>. Hypertension and diabetes mellitus were the most frequent comorbidities in the cohort (34% and 11%, respectively). Median follow-up was 261 (IQR: 70 to 1072) days.</p><table-wrap position="float" id="T1" orientation="portrait"><object-id pub-id-type="publisher-id">T1</object-id><label>Table 1</label><caption><p>Baseline characteristics of the cohort</p></caption><table frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Characteristic</td><td align="left" valign="bottom" rowspan="1" colspan="1">Cohort</td><td align="left" valign="bottom" rowspan="1" colspan="1">No AKI</td><td align="left" valign="bottom" rowspan="1" colspan="1">AKI</td></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Age, median (IQR)</td><td align="left" valign="top" rowspan="1" colspan="1">61 (51 to 69)</td><td align="left" valign="top" rowspan="1" colspan="1">60 (51 to 70)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">63 (55 to 68)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Female (%)</td><td align="left" valign="top" rowspan="1" colspan="1">123 (39.8)</td><td align="left" valign="top" rowspan="1" colspan="1">108 (35)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">15 (4.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Baseline serum creatinine mg/dL, median (IQR)</td><td align="left" valign="top" rowspan="1" colspan="1">0.8 (0.7 to 1.0)</td><td align="left" valign="top" rowspan="1" colspan="1">0.8 (0.7 to 1.0)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.8 (0.7 to 1.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Baseline eGFR mL/min/1.73 m<bold>
<sup>2</sup>
</bold>, median (IQR)</td><td align="left" valign="top" rowspan="1" colspan="1">88 (75 to 99)</td><td align="left" valign="top" rowspan="1" colspan="1">88 (76 to 99)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">90 (72 to 99)</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Cancer type</td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Melanoma (%)</td><td align="left" valign="top" rowspan="1" colspan="1">262 (84.8)</td><td align="left" valign="top" rowspan="1" colspan="1">217 (70.2)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">45 (14.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Lung (%)</td><td align="left" valign="top" rowspan="1" colspan="1">31 (10.0)</td><td align="left" valign="top" rowspan="1" colspan="1">28 (9.1)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">3 (1.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Genitourinary (%)</td><td align="left" valign="top" rowspan="1" colspan="1">12 (3.9)</td><td align="left" valign="top" rowspan="1" colspan="1">11 (3.6)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1 (0.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Other (lymphoma, ovarian, and colon) (%)</td><td align="left" valign="top" rowspan="1" colspan="1"> 4 (1.3)</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="char" char="." valign="top" rowspan="1" colspan="1">4 (1.3)</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Comorbidities</td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Cerebrovascular disease (%)</td><td align="left" valign="top" rowspan="1" colspan="1">8 (2.6)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (1.0)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">5 (1.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Congestive heart failure (%)</td><td align="left" valign="top" rowspan="1" colspan="1">5 (1.6)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (1.3)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1 (0.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> COPD/asthma (%)</td><td align="left" valign="top" rowspan="1" colspan="1">7 (2.3)</td><td align="left" valign="top" rowspan="1" colspan="1">6 (1.9)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1 (0.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Diabetes (%)</td><td align="left" valign="top" rowspan="1" colspan="1">33 (10.7)</td><td align="left" valign="top" rowspan="1" colspan="1">25 (8.1)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">8 (2.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Hypertension (%)</td><td align="left" valign="top" rowspan="1" colspan="1">105 (34.0)</td><td align="left" valign="top" rowspan="1" colspan="1">73 (23.6)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">32 (10.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Liver disease (%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (0.03)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (0.3)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Peripheral vascular disease (%)</td><td align="left" valign="top" rowspan="1" colspan="1">2 (0.6)</td><td align="left" valign="top" rowspan="1" colspan="1">2 (0.6)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Peptic ulcer disease (%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (0.3)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (0.3)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> HIV/AIDS (%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (0.3)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (0.3)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Hemiplegia/paraplegia (%)</td><td align="left" valign="top" rowspan="1" colspan="1">8 (2.6)</td><td align="left" valign="top" rowspan="1" colspan="1">8 (2.6)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Concomitant medications</td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> ACEi/ARB (%)</td><td align="left" valign="top" rowspan="1" colspan="1">55 (17.8)</td><td align="left" valign="top" rowspan="1" colspan="1">38 (12.3)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">17 (5.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> PPI (%)</td><td align="left" valign="top" rowspan="1" colspan="1">35 (11.3)</td><td align="left" valign="top" rowspan="1" colspan="1">26 (8.4)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">9 (2.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Diuretics (%)</td><td align="left" valign="top" rowspan="1" colspan="1">29 (9.4)</td><td align="left" valign="top" rowspan="1" colspan="1">17 (5.5)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">12 (3.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> NSAIDs (%)</td><td align="left" valign="top" rowspan="1" colspan="1">15 (4.9)</td><td align="left" valign="top" rowspan="1" colspan="1">13 (4.2)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">2 (0.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Steroid (%)</td><td align="left" valign="top" rowspan="1" colspan="1">105 (34.0)</td><td align="left" valign="top" rowspan="1" colspan="1">81 (26.2)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">24 (7.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Antibiotics (%)</td><td align="left" valign="top" rowspan="1" colspan="1">17 (5.5)</td><td align="left" valign="top" rowspan="1" colspan="1">9 (2.9)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">8 (2.6)</td></tr><tr><td align="left" valign="top" colspan="2" rowspan="1">Immunotherapy</td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Ipilimumab (%)</td><td align="left" valign="top" rowspan="1" colspan="1">219 (70.9)</td><td align="left" valign="top" rowspan="1" colspan="1">194 (62.8)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">25 (8.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Nivolumab (%)</td><td align="left" valign="top" rowspan="1" colspan="1">54 (17.5)</td><td align="left" valign="top" rowspan="1" colspan="1">49 (15.9)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">5 (1.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Pembrolizumab (%)</td><td align="left" valign="top" rowspan="1" colspan="1">36 (11.7)</td><td align="left" valign="top" rowspan="1" colspan="1">15 (4.9)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">21 (6.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Combined immunotherapy (Ipi+Nivo)</td><td align="left" valign="top" rowspan="1" colspan="1">23 (7.4)</td><td align="left" valign="top" rowspan="1" colspan="1">19 (6.1)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">4 (1.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Other (non-renal) immune-related adverse events (%)</td><td align="left" valign="top" rowspan="1" colspan="1">142 (46)</td><td align="left" valign="top" rowspan="1" colspan="1">104 (40)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">38 (75)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Duration of therapy prior to AKI days (IQR)</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="char" char="." valign="top" rowspan="1" colspan="1">30 (21 to 79)</td></tr></tbody></table><table-wrap-foot><fn id="T1_FN1"><p>ACEi, angiotensin-converting enzyme inhibitors; AKI, acute kidney injury; ARB, angiotensin-receptor blockers; COPD, chronic obstructive pulmonary disease; eGFR, estimated glomerular filtration rate; Ipi, ipilimumab; Nivo, nivolumab; NSAIDs, non-steroidal anti-inflammatory drugs; PPI, proton pump inhibitors.</p></fn></table-wrap-foot></table-wrap><sec id="s3-1"><title>AKI incidence and characteristics</title><p>A total of 54 (17.4%) patients developed AKI or other nephrologist-confirmed nephrotoxicity following initiation of ICPi therapy (<xref ref-type="table" rid="T2">table 2</xref>). In all, there were 51 AKI episodes (16.5%), the majority being of mild-to-moderate severity (KDIGO stages 1: 27 (53% of AKI episodes), 2: 11 (22%), and 3: 13 (25%)), and only one patient received acute renal replacement therapy. Median time from ICPi initiation to AKI was 30 (IQR 21 to 79) days. Of patients who experienced nephrotoxicity, 45 of them (83% of cases) presented in melanoma patients and 12 (22% of cases, 7.1% of total ICPi recipients) had confirmed nephrotoxicity attributed to ICPi (via biopsy or clinical diagnosis from a nephrologist). Kidney lesions and clinical course for patients with nephrologist confirmed ICPi nephrotoxicity is summarized in <xref ref-type="table" rid="T3">table 3</xref>. AIN was clinically diagnosed by a nephrologist in five patients and thrombotic microangiopathy (TMA) in one patient. There was one patient with biopsy-confirmed AIN and five patients with other biopsy-confirmed glomerular lesions, including two minimal change disease, two membranous nephropathy and one TMA (<xref ref-type="supplementary-material" rid="SP2 SP3 SP4">online supplementary figures 2-4</xref>). Of the 12 patients with biopsy- or nephrologist-confirmed ICPi nephrotoxicity, seven had other non-kidney IRAE (two patients had rash, three had colitis, one had hepatitis, one had myocarditis, one had thyroiditis, and one had other IRAE; two patients had more than one IRAE).</p><supplementary-material id="SP2" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">SP2</object-id><object-id pub-id-type="doi">10.1136/jitc-2019-000467.supp2</object-id><label>Supplementary data</label><p>
<inline-supplementary-material id="SS2" xlink:href="jitc-2019-000467supp002.pdf" mime-subtype="pdf" mimetype="application" xlink:type="simple"/>
</p></supplementary-material><supplementary-material id="SP3" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">SP3</object-id><object-id pub-id-type="doi">10.1136/jitc-2019-000467.supp3</object-id><label>Supplementary data</label><p>
<inline-supplementary-material id="SS3" xlink:href="jitc-2019-000467supp003.pdf" mime-subtype="pdf" mimetype="application" xlink:type="simple"/>
</p></supplementary-material><supplementary-material id="SP4" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">SP4</object-id><object-id pub-id-type="doi">10.1136/jitc-2019-000467.supp4</object-id><label>Supplementary data</label><p>
<inline-supplementary-material id="SS4" xlink:href="jitc-2019-000467supp004.pdf" mime-subtype="pdf" mimetype="application" xlink:type="simple"/>
</p></supplementary-material><table-wrap position="float" id="T2" orientation="portrait"><object-id pub-id-type="publisher-id">T2</object-id><label>Table 2</label><caption><p>Characteristics of AKI events</p></caption><table frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" rowspan="1" colspan="1">AKI (any stage) (%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">51 (16.5)</td></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">AKI stage 1</td><td align="left" valign="top" rowspan="1" colspan="1">27 (53)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">AKI stage 2</td><td align="left" valign="top" rowspan="1" colspan="1">11 (22)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">AKI stage 3</td><td align="left" valign="top" rowspan="1" colspan="1">13 (25)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Receipt of renal replacement therapy</td><td align="left" valign="top" rowspan="1" colspan="1">1 (1.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Sustained AKI (ie, elevation ≥1.5 times baseline sCr for ≥72 hours) (%)</td><td align="left" valign="top" rowspan="1" colspan="1">44 (86)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Non-sustained AKI (ie, elevation ≥1.5 times baseline sCr for &lt;72 hours) (%)</td><td align="left" valign="top" rowspan="1" colspan="1">7 (14)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Biopsy- or nephrologist-confirmed nephrotoxicity (%)</td><td align="left" valign="top" rowspan="1" colspan="1">12 (24)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Patients with AKI who received ICPi re-challenge (%)</td><td align="left" valign="top" rowspan="1" colspan="1">12 (24)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Patients who developed AKI after re-challenge (%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (8.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Presumptive AKI etiologies among patients with sustained AKI (%)</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Biopsy- or nephrologist-confirmed sustained AKI</td><td align="left" valign="top" rowspan="1" colspan="1">12 (27)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Possible ICPi-related AKI</td><td align="left" valign="top" rowspan="1" colspan="1">18 (41)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">AKI likely related to other causes (eg, pre-renal/hemodynamic, sepsis-related or obstructive AKI)</td><td align="left" valign="top" rowspan="1" colspan="1">14 (32)</td></tr></tbody></table><table-wrap-foot><fn id="T2_FN1"><p>AKI, acute kidney injury; ICPi, immune checkpoint inhibitors; sCr, serum creatinine.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3" orientation="portrait"><object-id pub-id-type="publisher-id">T3</object-id><label>Table 3</label><caption><p>Nephrologist-confirmed ICPi nephrotoxicity</p></caption><table frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Age</td><td align="left" valign="bottom" rowspan="1" colspan="1">Sex</td><td align="left" valign="bottom" rowspan="1" colspan="1">Cancer</td><td align="left" valign="bottom" rowspan="1" colspan="1">ICPi duration</td><td align="left" valign="bottom" rowspan="1" colspan="1">Comorbidities</td><td align="left" valign="bottom" rowspan="1" colspan="1">Other drugs</td><td align="left" valign="bottom" rowspan="1" colspan="1">Baseline sCr mg/dL (umol/L)</td><td align="left" valign="bottom" rowspan="1" colspan="1">Peak sCr mg/dL (umol/L)</td><td align="left" valign="bottom" rowspan="1" colspan="1">Other IRAE</td><td align="left" valign="bottom" rowspan="1" colspan="1">Urine protein</td><td align="left" valign="bottom" rowspan="1" colspan="1">Urine WBC</td><td align="left" valign="bottom" rowspan="1" colspan="1">Diagnosis/ biopsy result</td><td align="left" valign="bottom" rowspan="1" colspan="1">Treatment</td><td align="left" valign="bottom" rowspan="1" colspan="1">Renal outcome</td></tr></thead><tbody><tr><td align="char" char="." valign="top" rowspan="1" colspan="1">63</td><td align="left" valign="top" rowspan="1" colspan="1">F</td><td align="left" valign="top" rowspan="1" colspan="1">Melanoma</td><td align="left" valign="top" rowspan="1" colspan="1">20 days</td><td align="left" valign="top" rowspan="1" colspan="1">None</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1.2 (105)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1.7 (147)</td><td align="left" valign="top" rowspan="1" colspan="1">Yes</td><td align="left" valign="top" rowspan="1" colspan="1">3 mg/dL</td><td align="left" valign="top" rowspan="1" colspan="1">125 cel/uL</td><td align="left" valign="top" rowspan="1" colspan="1">AIN</td><td align="left" valign="top" rowspan="1" colspan="1">Stopping ICI</td><td align="left" valign="top" rowspan="1" colspan="1">Non-recovery</td></tr><tr><td align="char" char="." valign="top" rowspan="1" colspan="1">68</td><td align="left" valign="top" rowspan="1" colspan="1">M</td><td align="left" valign="top" rowspan="1" colspan="1">Melanoma</td><td align="left" valign="top" rowspan="1" colspan="1">30 days</td><td align="left" valign="top" rowspan="1" colspan="1">Hypertension</td><td align="left" valign="top" rowspan="1" colspan="1">PPI; diuretics</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1.2 (102)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">6.9 (609)</td><td align="left" valign="top" rowspan="1" colspan="1">Yes</td><td align="left" valign="top" rowspan="1" colspan="1">3 mg/dL</td><td align="left" valign="top" rowspan="1" colspan="1">125 cel/uL</td><td align="left" valign="top" rowspan="1" colspan="1">AIN</td><td align="left" valign="top" rowspan="1" colspan="1">Stopping ICPi+corticosteroids</td><td align="left" valign="top" rowspan="1" colspan="1">Non-recovery</td></tr><tr><td align="char" char="." valign="top" rowspan="1" colspan="1">69</td><td align="left" valign="top" rowspan="1" colspan="1">M</td><td align="left" valign="top" rowspan="1" colspan="1">Melanoma</td><td align="left" valign="top" rowspan="1" colspan="1">83 days</td><td align="left" valign="top" rowspan="1" colspan="1">Hypertension</td><td align="left" valign="top" rowspan="1" colspan="1">ACEi/ARB; PPI; NSAIDs diuretics</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1.1 (97)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">2.4 (214)</td><td align="left" valign="top" rowspan="1" colspan="1">Yes</td><td align="left" valign="top" rowspan="1" colspan="1">3 mg/dL</td><td align="left" valign="top" rowspan="1" colspan="1">10 cel/uL+casts</td><td align="left" valign="top" rowspan="1" colspan="1">AIN</td><td align="left" valign="top" rowspan="1" colspan="1">Stopping ICPi+corticosteroids</td><td align="left" valign="top" rowspan="1" colspan="1">Full recovery</td></tr><tr><td align="char" char="." valign="top" rowspan="1" colspan="1">76</td><td align="left" valign="top" rowspan="1" colspan="1">M</td><td align="left" valign="top" rowspan="1" colspan="1">Melanoma</td><td align="left" valign="top" rowspan="1" colspan="1">83 days</td><td align="left" valign="top" rowspan="1" colspan="1">None</td><td align="left" valign="top" rowspan="1" colspan="1"> </td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.9 (81)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1.7 (147)</td><td align="left" valign="top" rowspan="1" colspan="1">Yes</td><td align="left" valign="top" rowspan="1" colspan="1">3 mg/dL</td><td align="left" valign="top" rowspan="1" colspan="1"> 0</td><td align="left" valign="top" rowspan="1" colspan="1">AIN</td><td align="left" valign="top" rowspan="1" colspan="1">Stopping ICPi</td><td align="left" valign="top" rowspan="1" colspan="1">Partial recovery</td></tr><tr><td align="char" char="." valign="top" rowspan="1" colspan="1">66</td><td align="left" valign="top" rowspan="1" colspan="1">M</td><td align="left" valign="top" rowspan="1" colspan="1">Melanoma</td><td align="left" valign="top" rowspan="1" colspan="1">30 days</td><td align="left" valign="top" rowspan="1" colspan="1">Hypertension, ischemic cardiomyopathy</td><td align="left" valign="top" rowspan="1" colspan="1">ACEi/ARB; PPI; NSAIDs</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1.1 (95)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">3.9 (341)</td><td align="left" valign="top" rowspan="1" colspan="1">Yes</td><td align="left" valign="top" rowspan="1" colspan="1"> –</td><td align="left" valign="top" rowspan="1" colspan="1"> –</td><td align="left" valign="top" rowspan="1" colspan="1">AIN</td><td align="left" valign="top" rowspan="1" colspan="1">Stopping ICPi+corticosteroids</td><td align="left" valign="top" rowspan="1" colspan="1">Full recovery</td></tr><tr><td align="char" char="." valign="top" rowspan="1" colspan="1">42</td><td align="left" valign="top" rowspan="1" colspan="1">M</td><td align="left" valign="top" rowspan="1" colspan="1">Lymphoma</td><td align="left" valign="top" rowspan="1" colspan="1">35 days</td><td align="left" valign="top" rowspan="1" colspan="1">Hypertension</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.8 (74)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">4.8 (427)</td><td align="left" valign="top" rowspan="1" colspan="1">No</td><td align="left" valign="top" rowspan="1" colspan="1">5.86 g/24 hours</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">MCD+ATN</td><td align="left" valign="top" rowspan="1" colspan="1">Stopping ICPi+corticosteroids</td><td align="left" valign="top" rowspan="1" colspan="1">Partial recovery</td></tr><tr><td align="char" char="." valign="top" rowspan="1" colspan="1">55</td><td align="left" valign="top" rowspan="1" colspan="1">M</td><td align="left" valign="top" rowspan="1" colspan="1">Melanoma</td><td align="left" valign="top" rowspan="1" colspan="1">181 days</td><td align="left" valign="top" rowspan="1" colspan="1">Hypertension</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.9 (79)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1.7 (147)</td><td align="left" valign="top" rowspan="1" colspan="1">Yes</td><td align="left" valign="top" rowspan="1" colspan="1">10 mg/dL</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">TMA</td><td align="left" valign="top" rowspan="1" colspan="1">Stopping ICPi+corticosteroids</td><td align="left" valign="top" rowspan="1" colspan="1">Partial recovery</td></tr><tr><td align="char" char="." valign="top" rowspan="1" colspan="1">56</td><td align="left" valign="top" rowspan="1" colspan="1">F</td><td align="left" valign="top" rowspan="1" colspan="1">Melanoma</td><td align="left" valign="top" rowspan="1" colspan="1">104 days</td><td align="left" valign="top" rowspan="1" colspan="1">Ischemic cardiomyopathy</td><td align="left" valign="top" rowspan="1" colspan="1">ACEi/ARB</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.7 (66)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">3.5 (306)</td><td align="left" valign="top" rowspan="1" colspan="1">Yes</td><td align="left" valign="top" rowspan="1" colspan="1">10 mg/dL</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">TMA</td><td align="left" valign="top" rowspan="1" colspan="1">Stopping ICPi+corticosteroids</td><td align="left" valign="top" rowspan="1" colspan="1">Partial recovery</td></tr><tr><td align="char" char="." valign="top" rowspan="1" colspan="1">45</td><td align="left" valign="top" rowspan="1" colspan="1">M</td><td align="left" valign="top" rowspan="1" colspan="1">Melanoma</td><td align="left" valign="top" rowspan="1" colspan="1">55 days</td><td align="left" valign="top" rowspan="1" colspan="1">Type 2 diabetes</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.7 (61)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.9 (79)</td><td align="left" valign="top" rowspan="1" colspan="1">No</td><td align="left" valign="top" rowspan="1" colspan="1">9 g/24 hours</td><td align="left" valign="top" rowspan="1" colspan="1"> –</td><td align="left" valign="top" rowspan="1" colspan="1">MCD</td><td align="left" valign="top" rowspan="1" colspan="1">Stopping ICPi+corticosteroids</td><td align="left" valign="top" rowspan="1" colspan="1">Full recovery</td></tr><tr><td align="char" char="." valign="top" rowspan="1" colspan="1">53</td><td align="left" valign="top" rowspan="1" colspan="1">F</td><td align="left" valign="top" rowspan="1" colspan="1">Ovary</td><td align="left" valign="top" rowspan="1" colspan="1">64 days</td><td align="left" valign="top" rowspan="1" colspan="1">None</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.7 (67)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.9 (81)</td><td align="left" valign="top" rowspan="1" colspan="1">No</td><td align="left" valign="top" rowspan="1" colspan="1">12 g/24 hours</td><td align="left" valign="top" rowspan="1" colspan="1"> –</td><td align="left" valign="top" rowspan="1" colspan="1">Membranous nephropathy</td><td align="left" valign="top" rowspan="1" colspan="1">Stopping ICPi+corticosteroids</td><td align="left" valign="top" rowspan="1" colspan="1">Full recovery</td></tr><tr><td align="char" char="." valign="top" rowspan="1" colspan="1">39</td><td align="left" valign="top" rowspan="1" colspan="1">M</td><td align="left" valign="top" rowspan="1" colspan="1">Colon</td><td align="left" valign="top" rowspan="1" colspan="1">61 days</td><td align="left" valign="top" rowspan="1" colspan="1">None</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.9 (80)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1.2 (109)</td><td align="left" valign="top" rowspan="1" colspan="1">No</td><td align="left" valign="top" rowspan="1" colspan="1">2.2 g/24 hours</td><td align="left" valign="top" rowspan="1" colspan="1"> –</td><td align="left" valign="top" rowspan="1" colspan="1">Membranous nephropathy</td><td align="left" valign="top" rowspan="1" colspan="1">Stopping ICPi+corticosteroids</td><td align="left" valign="top" rowspan="1" colspan="1">Full recovery</td></tr><tr><td align="char" char="." valign="top" rowspan="1" colspan="1">72</td><td align="left" valign="top" rowspan="1" colspan="1">F</td><td align="left" valign="top" rowspan="1" colspan="1">Ovary</td><td align="left" valign="top" rowspan="1" colspan="1">64 days</td><td align="left" valign="top" rowspan="1" colspan="1">Hypertension</td><td align="left" valign="top" rowspan="1" colspan="1">ACEi/ARB; PPI</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1.2 (106)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">2.1 (186)</td><td align="left" valign="top" rowspan="1" colspan="1">No</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">70 cel/uL</td><td align="left" valign="top" rowspan="1" colspan="1">AIN</td><td align="left" valign="top" rowspan="1" colspan="1">Stopping ICPi+corticosteroids</td><td align="left" valign="top" rowspan="1" colspan="1">Partial recovery</td></tr></tbody></table><table-wrap-foot><fn id="T3_FN1"><p>ACEi, angiotensin-converting enzyme inhibitors; AIN, acute interstitial nephritis; ARB, angiotensin-receptor blockers; ATN, acute tubular necrosis; ICPi, immune checkpoint inhibitors; IRAE, Immune-related adverse event; MCD, minimal change disease; NSAIDs, non-steroidal anti-inflammatory drugs; PPI, proton pump inhibitors; TMA, thrombotic microangiopathy; WBC, white blood cell count.</p></fn></table-wrap-foot></table-wrap><p>Among patients who survived &gt;90 days after the AKI episode (n=25), all stopped ICPi and half received treatment with corticosteroids (52%). Full and partial recovery was observed in 22 (88%) and three (12%) patients, respectively. Re-challenge with ICPi occurred in 12 patients with nephrotoxicity, with only one (8.3%) having recurrent AKI. Of the 12 patients with nephrotoxicity who were re-challenged with ICPi, four had nephrologist-confirmed ICPi-related nephrotoxicity as the cause of initial AKI (two biopsy-confirmed membranous nephropathy (MN) and two AIN), four had possible ICPi-related AKI and four had AKI potentially from other causes. If only patients with nephrologist-confirmed or possible ICPi nephrotoxicity are considered, the proportion with recurrence would be 12.5% (<xref ref-type="supplementary-material" rid="SP5">online supplementary table 1</xref>).</p><supplementary-material id="SP5" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">SP5</object-id><object-id pub-id-type="doi">10.1136/jitc-2019-000467.supp5</object-id><label>Supplementary data</label><p>
<inline-supplementary-material id="SS5" xlink:href="jitc-2019-000467supp005.pdf" mime-subtype="pdf" mimetype="application" xlink:type="simple"/>
</p></supplementary-material><p>At the end of the follow-up, 222 (72%) patients had died. AKI was not associated with increased risk of mortality (HR 1.1; 95% CI 0.8 to 16; p=0.67)(<xref ref-type="fig" rid="F1">figure 1</xref>).</p><fig position="float" id="F1" orientation="portrait"><object-id pub-id-type="publisher-id">F1</object-id><label>Figure 1</label><caption><p>Survival curves for patients with and without AKI during ICPi therapy. Kaplan-Meier curves depicted for patients with no AKI episode during therapy (blue line) versus those who experienced an AKI episode (green line). AKI, acute kidney injury; ICPi, immune checkpoint inhibitors.</p></caption><graphic xlink:href="jitc-2019-000467f01" position="float" orientation="portrait" xlink:type="simple"/></fig></sec><sec id="s3-2"><title>Risk factors for AKI in patients receiving ICPi</title><p>In the univariable analysis, AKI was associated with the presence of other IRAE (OR 3.2; 95% CI 1.6 to 6.1; p&lt;0.001), diagnosis of pre-existing hypertension (OR 4.3; 95% CI 1.8 to 6.1; p&lt;0.001) and history of cerebrovascular disease (OR 9.2; 95% CI 2.1 to 40.0; p&lt;0.001). Use of angiotensin-converting enzyme inhibitors (ACEi) or angiotensin-receptor blockers (ARB) (OR 2.9; 95% CI 1.5 to 5.7; p=0.002), diuretics (OR 4.3; 95% CI 1.9 to 9.8; p&lt;0.001), and corticosteroid treatment (OR 1.9; 95% CI 1.1 to 3.6; p=0.03) were also associated with AKI. Baseline sCr, eGFR, type of cancer, and ICPi agent were not associated with AKI. In the multivariable analysis, AKI was associated only with the presence of other IRAE (OR 2.82; 95% CI 1.45 to 5.48; p=0.002) and previous diagnosis of hypertension (OR 2.96; 95% CI 1.33 to 6.59; p=0.008) (<xref ref-type="table" rid="T4">table 4</xref>).</p><table-wrap position="float" id="T4" orientation="portrait"><object-id pub-id-type="publisher-id">T4</object-id><label>Table 4</label><caption><p>Risk factors for AKI in patients receiving ICPi</p></caption><table frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Variable</td><td align="left" valign="bottom" rowspan="1" colspan="1">OR (95% CI)</td><td align="left" valign="bottom" rowspan="1" colspan="1">P value</td></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="2">Univariable analysis</td><td rowspan="1" align="char" char="." valign="top" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Age</td><td align="left" valign="top" rowspan="1" colspan="1">1.02 (0.99 to 1.04)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.17</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Female sex</td><td align="left" valign="top" rowspan="1" colspan="1">0.58 (0.31 to 1.10)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Baseline sCr (per 0.1 mg/dL or 9 umol/L)</td><td align="left" valign="top" rowspan="1" colspan="1">1.02 (0.90 to 1.16)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.72</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Charlson score</td><td align="left" valign="top" rowspan="1" colspan="1">1.16 (1.01 to 1.33)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.042</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Other IRAE</td><td align="left" valign="top" rowspan="1" colspan="1">3.19 (1.68 to 6.05)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">&lt;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Cerebrovascular disease</td><td align="left" valign="top" rowspan="1" colspan="1">9.24 (2.13 to 40.0)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.003</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Chronic heart failure</td><td align="left" valign="top" rowspan="1" colspan="1">1.27 (0.14 to 11.6)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.83</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> COPD/asthma</td><td align="left" valign="top" rowspan="1" colspan="1">0.68 (0.10 to 4.70)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.69</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Dementia</td><td align="left" valign="top" rowspan="1" colspan="1">2.58 (0.46 to 14.5)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.28</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Depression</td><td align="left" valign="top" rowspan="1" colspan="1">1.29 (0.41 to 4.02)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.66</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Diabetes</td><td align="left" valign="top" rowspan="1" colspan="1">1.78 (0.75 to 4.20)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.19</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Hypertension</td><td align="left" valign="top" rowspan="1" colspan="1">4.27 (2.28 to 8.01)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">&lt;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Myocardial infarction</td><td align="left" valign="top" rowspan="1" colspan="1">1.91 (0.58 to 6.26)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.29</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Rheumatic disease</td><td align="left" valign="top" rowspan="1" colspan="1">1.25 (0.14 to 11.4)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.84</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> ACE/ARBi</td><td align="left" valign="top" rowspan="1" colspan="1">2.90 (1.47 to 5.69)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.002</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> PPI</td><td align="left" valign="top" rowspan="1" colspan="1">1.90 (0.83 to 4.35)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.13</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Diuretics</td><td align="left" valign="top" rowspan="1" colspan="1">4.34 (1.93 to 9.79)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">&lt;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> NSAIDs</td><td align="left" valign="top" rowspan="1" colspan="1">0.77 (0.17 to 3.52)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.74</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Steroids</td><td align="left" valign="top" rowspan="1" colspan="1">1.94 (1.06 to 3.57)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.033</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Antibiotics</td><td align="left" valign="top" rowspan="1" colspan="1">1.22 (0.81 to 1.86)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.34</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="2">Multivariable analysis</td><td rowspan="1" align="char" char="." valign="top" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Other IRAE</td><td align="left" valign="top" rowspan="1" colspan="1">2.82 (1.45 to 5.48)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.002</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Hypertension</td><td align="left" valign="top" rowspan="1" colspan="1">2.96 (1.33 to 6.59)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.008</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Use of ACE/ARBi</td><td align="left" valign="top" rowspan="1" colspan="1">1.18 (0.51 to 2.72)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.69</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Use of diuretics</td><td align="left" valign="top" rowspan="1" colspan="1">1.96 (0.78 to 4.94)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.15</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="2">Sensitivity* multivariable analysis</td><td rowspan="1" align="char" char="." valign="top" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Other IRAE</td><td align="left" valign="top" rowspan="1" colspan="1">5.59 (2.18 to 14.33)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">&lt;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Hypertension</td><td align="left" valign="top" rowspan="1" colspan="1">1.66 (0.59 to 4.65)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.34</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Use of ACE/ARBi</td><td align="left" valign="top" rowspan="1" colspan="1">1.60 (0.54 to 4.70)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.39</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Use of diuretics</td><td align="left" valign="top" rowspan="1" colspan="1">2.33 (0.68 to 7.95)</td><td rowspan="1" align="char" char="." valign="top" colspan="1">0.18</td></tr></tbody></table><table-wrap-foot><fn id="T4_FN1"><p>*Sensitivity analysis includes only AKI events that were biopsy- or nephrologist-confirmed to be ICPi-related or possible ICPi-related (ie, excluding AKI events likely related to other causes); n=288.</p></fn><fn id="T4_FN2"><p>ACE, angiotensin-converting enzyme; AKI, acute kidney injury; ARBi, angiotensin-receptor blocker inhibitors; COPD, chronic obstructive pulmonary disease; ICPi, immune checkpoint inhibitors; IRAE, immune-related adverse event; NSAIDs, non-steroidal anti-inflammatory drugs; PPI, proton pump inhibitors.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-3"><title>Post hoc analyses of presumptive AKI etiologies and sensitivity analysis for AKI risk factors</title><p>We reviewed sCr trends among the patients with AKI and found 44 patients (86% of patients with AKI) experienced a sustained AKI episode (ie, an elevation of ≥1.5 times baseline sCr that persisted for ≥72 hours) (<xref ref-type="table" rid="T2">table 2</xref>). Apart from those patients with biopsy- or nephrologist-confirmed ICPi-related AKI, 18 patients (41%) had possible ICPi-related AKI, while 14 (32%) had AKI likely related to other (non-ICPi-related) causes.</p><p>In our sensitivity analysis in which we repeated our multivariable logistic regression for AKI risk factors with the exclusion of AKI episodes likely related to other (non-ICPi-related) causes, we found that the presence of other IRAE remained associated with AKI (<xref ref-type="table" rid="T4">table 4</xref>). The magnitude of the effect was increased with OR 5.59; 95% CI 2.18 to 14.33; p&lt;0.001. In this analysis, pre-existing hypertension, use of ACEi/ARB, and diuretics were not significantly associated with AKI risk.</p></sec></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><p>Our findings demonstrate a considerable burden of AKI among patients treated with ICPi therapy. The substantial incidence of AKI in this population likely reflects a combination of causes of kidney dysfunction, including both ICPi-related nephrotoxicity and the myriad other forms of kidney injury inherent to patients receiving anti-cancer therapy.<xref ref-type="bibr" rid="R16 R17">16 17</xref> The frequency of AKI we observed in this cohort, suggests that oncologists and nephrologists assessing these patients may be faced routinely with discerning kidney IRAE from other causes. The incidence of AKI in our cohort is higher than previously reported from the randomized trials that studied these agents (ie, 2% to 5% of ICPi recipients),<xref ref-type="bibr" rid="R4 R5 R7 R8">4 5 7 8</xref> however, may be more in keeping with higher rates (9.9% to 29%) reported in emerging data from conference abstracts<xref ref-type="bibr" rid="R18 R19 R20">18–20</xref> and the only other large cohort study of AKI in ICPi recipients.<xref ref-type="bibr" rid="R21">21</xref> Seethapathy <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic> also reported an AKI incidence in ICPi recipients of approximately 17%,<xref ref-type="bibr" rid="R21">21</xref> and this is similar to previously reported incidence of AKI in cancer patients receiving older systemic therapies.<xref ref-type="bibr" rid="R22 R23">22 23</xref> Interestingly, only a minority of patients had nephrologist-confirmed ICPi nephrotoxicity, despite many patients receiving corticosteroid therapy at the time of AKI (although this may also reflect the presence of other IRAE). Moreover, among the cases of nephrologist-confirmed ICPi nephrotoxicity, half demonstrated glomerular lesions. This may also be due to oncology practitioners being more likely to seek nephrologist consultation for patients with features suggestive of glomerulopathy, such as more rapid kidney function change or high-grade proteinuria.</p><p>The existing literature on ICPi nephrotoxicity has predominantly included case series of patients identified following kidney biopsy, and while more specific to kidney IRAE, this may have underestimated the incidence of nephrotoxicity in these patients. Cortazar <italic toggle="yes">et al</italic>
<xref ref-type="bibr" rid="R4">4</xref> described the histologic features of 13 patients with ICPi-associated nephrotoxicity who underwent kidney biopsy. The most common pathologic lesion encountered was AIN in 12 patients and one with TMA. Similarly, Shirali <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic>
<xref ref-type="bibr" rid="R5">5</xref> described the histologic features of six lung cancer patients with ICPi-induced AKI who underwent kidney biopsy, of whom all had AIN. As a result of these initial series, AIN was felt to be the predominant form of nephrotoxicity from ICPi. Subsequently, case reports demonstrated other nephrotoxicity in the form of glomerular injury, including MCD, MN, IgA nephropathy, pauci-immune glomerulonephritis, and lupus-like glomerulonephritis.<xref ref-type="bibr" rid="R6 R7 R8 R24 R25 R26">6–8 24–26</xref> Our cohort adds to the existing data suggesting that glomerular injury may represent a significant proportion of ICPi nephrotoxicity.</p><p>Current American Society of Clinical Oncology (ASCO) guidelines for the management of IRAE suggest that patients receiving ICPi with sCr increase two to three times of baseline, should have ICPi held and receive 0.5 to 1 mg/kg/day prednisone equivalents (with an increase to 1–2 mg/kg/day if worsening or no improvement).<xref ref-type="bibr" rid="R27">27</xref> These guidelines also state that ‘reflex kidney biopsy should be discouraged until corticosteroid treatment has been attempted’. In our cohort, the majority of patients with AKI had ICPi suspended and received corticosteroids (both in those with and without nephrologist-confirmed ICPi nephrotoxicity); however, the given the significant proportion of patients with non-AIN forms of nephrotoxicity, kidney biopsy may be informative in many patients and should be considered strongly in patients with features atypical for AIN (ie, presence of high grade proteinuria and active urinary sediment with absence of white blood cells in the urine), or non-responsive to ICPi suspension and short corticosteroid trial. Izzedine <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic>
<xref ref-type="bibr" rid="R7">7</xref> recently described 12 cases of biopsy-confirmed nephrotoxicity from a cohort of 676 pembrolizumab-treated patients of whom five had ATN, four had AIN, one had MCD and ATN, and one had MCD alone. Pembrolizumab withdrawal and corticosteroid therapy was the most common treatment; however, given the proportion of patients with ATN, which is unlikely to be responsive to corticosteroid therapy, the accompanying editorial suggested an approach of ‘diagnosis first, treatment later’.<xref ref-type="bibr" rid="R28">28</xref> Although our cohort did not demonstrate a significant proportion with ATN, the presence of cases with TMA and MCD/MN support use of an early biopsy strategy in selected patients.</p><p>With respect to clinical features, our cohort presented similarly to that of the case series by Izzedine <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic>,<xref ref-type="bibr" rid="R7">7</xref> Mamlouk <italic toggle="yes">et al</italic>,<xref ref-type="bibr" rid="R8">8</xref> and the recent large multicenter study by Cortazar <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic>.<xref ref-type="bibr" rid="R29">29</xref> Median time from ICPi start to AKI in our cohort was 30 (IQR 21 to 79) days, which compares to 98 (range: 42 to 392) days in Mamlouk <italic toggle="yes">et al</italic>
<xref ref-type="bibr" rid="R8">8</xref> and 270 (range: 30 to 720) days in Izzedine <italic toggle="yes">
<italic toggle="yes">et al</italic>,</italic>
<xref ref-type="bibr" rid="R7">7</xref> suggesting that treatment duration before toxicity is variable and that suspicion for kidney IRAE is appropriate, even in patients who have been established on ICPi therapy. The majority of AKI in our cohort was of mild severity and most patients had recovery in kidney function. These findings are congruent with Izzedine <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic>
<xref ref-type="bibr" rid="R7">7</xref>, who reported a mean sCr of 2.1 mg/dL (185 umol/L) (SD: 0.7 mg/dL (63 umol/L)) and six out of 12 patients had recovery of ~50% of their kidney function. Mamlouk <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic>
<xref ref-type="bibr" rid="R8">8</xref> reported a higher severity of AKI (with 12 out of 16 having AKI grade 3 or higher injury using Acute Kidney Injury Network<xref ref-type="bibr" rid="R30">30</xref> classification), but still observed that the majority of patients experienced full or partial kidney recovery. Similarly, in the multicenter cohort of Cortazar <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic>, 40% of patients had complete renal recovery; however, it should be noted that the inclusion criteria of this study required that patients have KDIGO stage 2 or greater AKI severity.<xref ref-type="bibr" rid="R29">29</xref> This difference in inclusion criteria may also account for the smaller proportion of glomerular disease seen in this cohort, as many patients with glomerular nephrotoxicity may present primarily with proteinuria and only modest (or no change) in sCr.</p><p>In our cohort, ICPi was stopped initially in all patients with nephrologist-confirmed nephrotoxicity. This practice is similar to that observed in the studies by Mamlouk <italic toggle="yes">et al</italic>
<xref ref-type="bibr" rid="R8">8</xref> and Izzedine <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic>
<xref ref-type="bibr" rid="R7">7</xref> with 15 of 16 and 10 of 12 stopping ICPi, respectively. In the larger cohort of Cortazar <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic>, 31 patients underwent re-challenge with ICPi, with 23% experiencing recurrent AKI.<xref ref-type="bibr" rid="R29">29</xref> This is higher than the estimated recurrence rate that we observed in our cohort; however, the number of patients receiving re-challenge in our study is admittedly small, with few who had undergone kidney biopsy. Also, as inclusion criteria of Cortazar <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic> required KDIGO stage 2 AKI or greater severity, one may expect that higher recurrence rates would be observed. Additional data on the outcomes of patients with continuation or re-challenge with ICPi are needed.</p><p>With respect to risk factors for AKI in our cohort, the presence of other ‘non-kidney’ IRAE was associated with AKI in both univariable and multivariable analyses (and this association persisted in our sensitivity analysis that excluded AKI episodes that were likely to be related to non-ICPi causes). Non-kidney IRAE may reflect the degree of immune system activation by ICPi, and therefore increase the likelihood of off-target immune effects within the kidney. Some IRAE (eg, colitis and myocarditis) may also mediate AKI through indirect mechanisms such as volume depletion or hemodynamic insult. The association between other IRAE and nephrotoxicity was not assessed in the study by Cortazar <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic>,<xref ref-type="bibr" rid="R29">29</xref> but in their cohort, it was observed that 43% of those with AKI had another non-renal IRAE. Hypertension was also associated with AKI, as has been observed in the broader population with cancer,<xref ref-type="bibr" rid="R23">23</xref> and this likely reflects the presence of vascular disease in these patients and the propensity for kidney injury through non-immune means. Notably, in our sensitivity analysis (that excluded AKI events presumed secondary to pre-renal and hemodynamic insults), this association was no longer significant. We did not observe an association between co-prescribed drugs (including PPI, NSAIDs, and antibiotics) and AKI risk. Previous series have hypothesized that receipt of ICPi may modify immune tolerance to these drugs and that such agents should be discontinued after ICPi-associated AIN (and potentially prior to re-challenge with ICPi).<xref ref-type="bibr" rid="R20 R31">20 31</xref> Seethapathy <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic> also assessed the possible association between PPI use and AKI in ICPi recipients, and they did observe an association between PPI use and sustained AKI (eg, persistent creatinine elevation for ≥3 days), but not all ICPi nephrotoxicity.<xref ref-type="bibr" rid="R21">21</xref> While this association was not observed in our cohort, this may well be related to the inclusion of both confirmed immune-mediated episodes of AKI as well as non-confirmed episodes of AKI. Moreover, the small proportion of individuals receiving these agents may have precluded detection of such an association. As in our study, Seethapathy <italic toggle="yes">et al</italic>
<xref ref-type="bibr" rid="R21">21</xref> and Cortazar <italic toggle="yes">
<italic toggle="yes">et al</italic>
</italic>
<xref ref-type="bibr" rid="R29">29</xref> did not observe association between NSAID use and AKI. Finally, we did not observe a difference in survival in those with and without AKI during ICPi therapy. This may be due to the fact that the cohort included predominantly patients with advanced cancer in whom ICPi treatment was indicated, with substantial baseline mortality risk. Also, the majority of AKI in our cohort was mild, with recovery of kidney function, as such, AKI and progression to CKD may have been less likely to contribute to subsequent mortality.</p><p>It should be noted that our cohort predominantly included patients with normal baseline kidney function. This may be owing to the fact that many patients may have been participants in clinical trials, and many trials of cancer therapy exclude patients with CKD and ESKD.<xref ref-type="bibr" rid="R32">32</xref> As such, additional data is needed to address AKI associated with ICPi in the CKD population, as well as its impact on both renal and cancer outcomes. This may become increasingly important as many patients with CKD and cancer may be candidates for immunotherapies as their indications broaden.</p><p>Our study has several strengths, including a comprehensive assessment of AKI among ICPi recipients using sCr data. We were able to include all recipients of ICPi in our center (through identification from an electronic ordering system) and were therefore able to provide an estimate as to AKI incidence in this population. We also were able to perform a detailed chart review to reliably assess cancer and ICPi treatment characteristics, as well as comorbidities and co-prescriptions to evaluate AKI risk factors. In addition, we had a substantial proportion of patients with nephrologist- or biopsy-confirmed nephrotoxicity with description of varied kidney lesions, including glomerular disease.</p><p>Our study has several important limitations. Most of the AKI episodes were neither confirmed nor treated by a nephrologist (as may be commonplace among patients managed by medical oncologists). As such, the definite cause of AKI could not be ascertained in all cases. As result, we were able to evaluate overall AKI risk factors, but not necessarily factors specific to immune-mediated ICPi nephrotoxicity. However, we did find that, even in patients not assessed by a nephrologist, a substantial proportion were receiving steroid therapy at the time of AKI, suggesting that in many patients, immune-mediated injury may have been suspected and empiric glucocorticoids administered. We also sought to address this issue in our sensitivity analysis (via the exclusion of AKI presumed to be related to non-ICPi causes). In this model, hypertension was no longer significantly associated with AKI, which likely speaks to its mediation of AKI via hemodynamic mechanisms, rather than immune means. The relatively small number of biopsy-confirmed cases of ICPi nephrotoxicity at single center (particularly in view of current ASCO guidelines<xref ref-type="bibr" rid="R27">27</xref> recommendations regarding kidney biopsy), makes such risk factor analysis a challenge. In particular, the small number of events allowed for inclusion of only a limited number of covariates in multivariable logistic regression. The majority of patients (85%) had advanced melanoma which may limit generalizability of our findings. Moreover, melanoma is not commonly associated with AKI,<xref ref-type="bibr" rid="R22">22</xref> therefore we believe that ICPi treatment likely played an important role in the development of this complication. Also, the majority of patients were receiving ipilimumab monotherapy, which may be less representative than use of single agent PD-1/PD-L1 therapy (currently more frequent among ICPi-treated cancers); however, in a recent meta-analysis of IRAE in melanoma patients treated with these agents, AKI events were not reported to differ between the CTLA-4 and PD-1 agents,<xref ref-type="bibr" rid="R33">33</xref> and as such, our findings likely have implications with respect to both classes. Finally, we had a limited number of patients who received re-challenge with ICPi after AKI (with even fewer that had undergone kidney biopsy) and this may have limited our ability to estimate recurrence rates. Larger cohorts are needed to better characterize both AKI and ICPi nephrotoxicity specifically, in this population.</p></sec><sec id="s5" sec-type="conclusions"><title>Conclusion</title><p>Overall, AKI is common complication in patients receiving ICPi treatment. As such, distinguishing kidney IRAE from other causes of AKI will present a frequent challenge to oncology and nephrology practitioners. ICPi-associated nephrotoxicity includes AKI due to AIN/ATI or ATN as well as glomerulopathies such as kidney-limited TMA, MCD, and MN. Indeed, the potential for glomerular disease, and kidney lesions which may not benefit from corticosteroids, suggests that kidney biopsy should be very strongly considered when ICPi-associated nephrotoxicity is suspected.</p><p>Most AKI in this population was of mild-to-moderate severity, and responsive to temporarily stopping ICPi and systemic corticosteroids for severe cases. There was no signal for harm when patients who developed AKI were re-challenged with ICI. Re-challenge with ICPi can be considered in such patients, particularly those with limited therapeutic options. The presence of other IRAE may be associated with AKI and should raise clinical suspicion of ICPi nephrotoxicity. However, these patients are not exempted from other causes of AKI such as volume contraction, ischemic tubular injury, obstructive nephropathy, and nephrotoxicity from concomitant cancer treatments. A careful evaluation must be performed in every cancer patient with ICPi-associated AKI, including urinary microscopy and kidney biopsy in cases with severe AKI or features atypical for AIN.</p></sec></body><back><fn-group><fn fn-type="other"><label>Twitter</label><p>@Nephroguy, @onconeph</p></fn><fn fn-type="other"><label>Contributors</label><p>Drs Meraz-Munoz, Amir and Kitchlu had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Concept and design: Kitchlu, Chan, Amir, Kim and Wald. Acquisition, analysis, or interpretation of data: Meraz-Munoz, Ragobar and Amir. Drafting of the manuscript: Meraz-Munoz, Kitchlu, Amir and Wald. Critical revision of the manuscript for important intellectual content: All authors. Statistical analysis: Meraz-Munoz, Kitchlu and Amir. Administrative, technical or material support: Kitchlu, Amir and Chan. Supervision: Kitchlu, Amir and Wald.</p></fn><fn fn-type="other"><label>Funding</label><p>The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.</p></fn><fn fn-type="conflict"><label>Competing interests</label><p>None declared.</p></fn><fn fn-type="other"><label>Patient consent for publication</label><p>Not required.</p></fn><fn fn-type="other"><label>Ethics approval</label><p>This study was approved by the Research Ethics Board of the University Health Network, Toronto, Canada.</p></fn><fn fn-type="other"><label>Provenance and peer review</label><p>Not commissioned; externally peer reviewed.</p></fn><fn fn-type="other"><label>Data availability statement</label><p>Data are available upon reasonable request.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1</label><mixed-citation publication-type="journal" xlink:type="simple">
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