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Renal adverse effects following the use of different immune checkpoint inhibitor regimens: A real‐world pharmacoepidemiology study of post‐marketing surveillance data

BACKGROUNDS: Although kidney impairments have been reported following immune checkpoint inhibitors (ICIs) in clinical studies, there are few pharmacoepidemiology studies to compare the occurrences, clinical features, and prognosis of renal adverse effects. METHODS: Disproportionality and Bayesian an...

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Autores principales: Chen, Gang, Qin, Yan, Fan, Qian‐qian, Zhao, Bin, Mei, Dan, Li, Xue‐mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520336/
https://www.ncbi.nlm.nih.gov/pubmed/32720449
http://dx.doi.org/10.1002/cam4.3198
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author Chen, Gang
Qin, Yan
Fan, Qian‐qian
Zhao, Bin
Mei, Dan
Li, Xue‐mei
author_facet Chen, Gang
Qin, Yan
Fan, Qian‐qian
Zhao, Bin
Mei, Dan
Li, Xue‐mei
author_sort Chen, Gang
collection PubMed
description BACKGROUNDS: Although kidney impairments have been reported following immune checkpoint inhibitors (ICIs) in clinical studies, there are few pharmacoepidemiology studies to compare the occurrences, clinical features, and prognosis of renal adverse effects. METHODS: Disproportionality and Bayesian analysis were used in data mining to screen the suspected renal adverse effects after the administration of different ICIs, based on FDA's Adverse Event Reporting System (FAERS) from January 2004 to September 2019. The time to onset, fatality and hospitalization rates of renal adverse effects were also investigated. RESULTS: We identified 1444 reports of renal adverse effects. Affected patients tended to be older than 65 years (52.7%). Renal effects were most commonly reported in nivolumab monotherapy (33.24%). Atezolizumab appeared the strongest association among six ICI monotherapies, based on the highest reporting odds ratio (ROR = 144.38, two‐sided 95% CI = 123.08 −169.37), proportional reporting ratio (PRR = 139.13, χ (2) = 21 425.38), and empirical Bayes geometric mean (EBGM = 131.75, one‐sided 95% CI = 115.28). The combination treatments showed higher RORs, PRRs, and EBGMs, compared with either nivolumab or pembrolizumab monotherapy. The median onset time of renal adverse effects was 48 (interquartile range [IQR] 18.75‐121.25) days after the monotherapies of ICI regimens. Patients treated with the combination of nivolumab plus ipilimumab were younger than receivers in nivolumab monotherapy (63.81 ± 12.03 vs 66.39 ± 11.53, P = .004); The fatality rate of renal adverse effects appeared lower in the combination group, compared to nivolumab monotherapy (18.53% vs 27.50%, P = .004). The top hospitalization rates due to renal effects occurred in patients with combination therapies. CONCLUSION: Based on the FAERS database, we profiled renal adverse effects after various ICIs with real‐world data in occurrences, clinical characteristics, and prognosis. Renal effects should be tightly monitored, especially within the first several months after ICIs administration. Particular concern should be paid for patients with a tendency for kidney impairments, such as old age.
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spelling pubmed-75203362020-09-30 Renal adverse effects following the use of different immune checkpoint inhibitor regimens: A real‐world pharmacoepidemiology study of post‐marketing surveillance data Chen, Gang Qin, Yan Fan, Qian‐qian Zhao, Bin Mei, Dan Li, Xue‐mei Cancer Med Clinical Cancer Research BACKGROUNDS: Although kidney impairments have been reported following immune checkpoint inhibitors (ICIs) in clinical studies, there are few pharmacoepidemiology studies to compare the occurrences, clinical features, and prognosis of renal adverse effects. METHODS: Disproportionality and Bayesian analysis were used in data mining to screen the suspected renal adverse effects after the administration of different ICIs, based on FDA's Adverse Event Reporting System (FAERS) from January 2004 to September 2019. The time to onset, fatality and hospitalization rates of renal adverse effects were also investigated. RESULTS: We identified 1444 reports of renal adverse effects. Affected patients tended to be older than 65 years (52.7%). Renal effects were most commonly reported in nivolumab monotherapy (33.24%). Atezolizumab appeared the strongest association among six ICI monotherapies, based on the highest reporting odds ratio (ROR = 144.38, two‐sided 95% CI = 123.08 −169.37), proportional reporting ratio (PRR = 139.13, χ (2) = 21 425.38), and empirical Bayes geometric mean (EBGM = 131.75, one‐sided 95% CI = 115.28). The combination treatments showed higher RORs, PRRs, and EBGMs, compared with either nivolumab or pembrolizumab monotherapy. The median onset time of renal adverse effects was 48 (interquartile range [IQR] 18.75‐121.25) days after the monotherapies of ICI regimens. Patients treated with the combination of nivolumab plus ipilimumab were younger than receivers in nivolumab monotherapy (63.81 ± 12.03 vs 66.39 ± 11.53, P = .004); The fatality rate of renal adverse effects appeared lower in the combination group, compared to nivolumab monotherapy (18.53% vs 27.50%, P = .004). The top hospitalization rates due to renal effects occurred in patients with combination therapies. CONCLUSION: Based on the FAERS database, we profiled renal adverse effects after various ICIs with real‐world data in occurrences, clinical characteristics, and prognosis. Renal effects should be tightly monitored, especially within the first several months after ICIs administration. Particular concern should be paid for patients with a tendency for kidney impairments, such as old age. John Wiley and Sons Inc. 2020-07-27 /pmc/articles/PMC7520336/ /pubmed/32720449 http://dx.doi.org/10.1002/cam4.3198 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Chen, Gang
Qin, Yan
Fan, Qian‐qian
Zhao, Bin
Mei, Dan
Li, Xue‐mei
Renal adverse effects following the use of different immune checkpoint inhibitor regimens: A real‐world pharmacoepidemiology study of post‐marketing surveillance data
title Renal adverse effects following the use of different immune checkpoint inhibitor regimens: A real‐world pharmacoepidemiology study of post‐marketing surveillance data
title_full Renal adverse effects following the use of different immune checkpoint inhibitor regimens: A real‐world pharmacoepidemiology study of post‐marketing surveillance data
title_fullStr Renal adverse effects following the use of different immune checkpoint inhibitor regimens: A real‐world pharmacoepidemiology study of post‐marketing surveillance data
title_full_unstemmed Renal adverse effects following the use of different immune checkpoint inhibitor regimens: A real‐world pharmacoepidemiology study of post‐marketing surveillance data
title_short Renal adverse effects following the use of different immune checkpoint inhibitor regimens: A real‐world pharmacoepidemiology study of post‐marketing surveillance data
title_sort renal adverse effects following the use of different immune checkpoint inhibitor regimens: a real‐world pharmacoepidemiology study of post‐marketing surveillance data
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520336/
https://www.ncbi.nlm.nih.gov/pubmed/32720449
http://dx.doi.org/10.1002/cam4.3198
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