The Occurrence of Encephalitis Due to Immune Checkpoint Inhibitors: A Pharmacovigilance Study
Purpose Immune checkpoint inhibitors (ICIs) are associated with peculiar adverse events related to the mechanism of action. Less than 1% of patients treated with ICIs develop autoimmune encephalitis. The aim of this study was to compare the frequency of encephalitis development due to ICIs with ence...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chisaki, Yugo [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Anmerkung: |
© The Drug Information Association, Inc 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Therapeutic innovation & regulatory science - [New York] : Springer Nature, 2013, 56(2022), 2 vom: 10. Jan., Seite 323-332 |
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| Übergeordnetes Werk: |
volume:56 ; year:2022 ; number:2 ; day:10 ; month:01 ; pages:323-332 |
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| DOI / URN: |
10.1007/s43441-021-00365-x |
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| Katalog-ID: |
SPR046271864 |
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| 245 | 1 | 4 | |a The Occurrence of Encephalitis Due to Immune Checkpoint Inhibitors: A Pharmacovigilance Study |
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| 520 | |a Purpose Immune checkpoint inhibitors (ICIs) are associated with peculiar adverse events related to the mechanism of action. Less than 1% of patients treated with ICIs develop autoimmune encephalitis. The aim of this study was to compare the frequency of encephalitis development due to ICIs with encephalitis due to other drugs using the Japanese Adverse Drug Event Report (JADER) database and Bayesian confidence propagation neural networks for signal detection. Methods Data from the JADER database from April 2004 to December 2020 were downloaded via the Pharmaceuticals and Medical Devices Agency (PMDA) website. The Information Component (IC) values were calculated as an index of signal detection based on the Bayesian method. Results The lower bound of the 95% credible interval (CI) of the IC values for atezolizumab and pembrolizumab were greater than 0 in most of the periods. Thus, encephalitis occurred more frequently for atezolizumab and pembrolizumab than for other drugs. For nivolumab and ipilimumab, a significant signal was detected only for recent data. In contrast, the lower bounds of the 95% CIs for avelumab and durvalumab were smaller than 0 in most of the periods because encephalitis was seldom reported for avelumab and durvalumab. Conclusions We showed that encephalitis occurs more frequently for atezolizumab, pembrolizumab, nivolumab, and ipilimumab compared with the frequency for other drugs. The time of onset varied widely, and patients should be monitored for more than 1 year after the last administration of ICIs. | ||
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| 700 | 1 | |a Yano, Yoshitaka |0 (orcid)0000-0001-7787-883X |4 aut | |
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10.1007/s43441-021-00365-x doi (DE-627)SPR046271864 (SPR)s43441-021-00365-x-e DE-627 ger DE-627 rakwb eng Chisaki, Yugo verfasserin (orcid)0000-0002-3492-8291 aut The Occurrence of Encephalitis Due to Immune Checkpoint Inhibitors: A Pharmacovigilance Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Drug Information Association, Inc 2022 Purpose Immune checkpoint inhibitors (ICIs) are associated with peculiar adverse events related to the mechanism of action. Less than 1% of patients treated with ICIs develop autoimmune encephalitis. The aim of this study was to compare the frequency of encephalitis development due to ICIs with encephalitis due to other drugs using the Japanese Adverse Drug Event Report (JADER) database and Bayesian confidence propagation neural networks for signal detection. Methods Data from the JADER database from April 2004 to December 2020 were downloaded via the Pharmaceuticals and Medical Devices Agency (PMDA) website. The Information Component (IC) values were calculated as an index of signal detection based on the Bayesian method. Results The lower bound of the 95% credible interval (CI) of the IC values for atezolizumab and pembrolizumab were greater than 0 in most of the periods. Thus, encephalitis occurred more frequently for atezolizumab and pembrolizumab than for other drugs. For nivolumab and ipilimumab, a significant signal was detected only for recent data. In contrast, the lower bounds of the 95% CIs for avelumab and durvalumab were smaller than 0 in most of the periods because encephalitis was seldom reported for avelumab and durvalumab. Conclusions We showed that encephalitis occurs more frequently for atezolizumab, pembrolizumab, nivolumab, and ipilimumab compared with the frequency for other drugs. The time of onset varied widely, and patients should be monitored for more than 1 year after the last administration of ICIs. Autoimmune encephalitis (dpeaa)DE-He213 Immune checkpoint inhibitors (dpeaa)DE-He213 Japanese adverse drug event report database (dpeaa)DE-He213 Information component (dpeaa)DE-He213 Hata, Hiroki (orcid)0000-0002-6798-816X aut Matsumura, Chikako (orcid)0000-0001-7553-6879 aut Yano, Yoshitaka (orcid)0000-0001-7787-883X aut Enthalten in Therapeutic innovation & regulatory science [New York] : Springer Nature, 2013 56(2022), 2 vom: 10. Jan., Seite 323-332 (DE-627)739896415 (DE-600)2708397-4 2168-4804 nnns volume:56 year:2022 number:2 day:10 month:01 pages:323-332 https://dx.doi.org/10.1007/s43441-021-00365-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 56 2022 2 10 01 323-332 |
| spelling |
10.1007/s43441-021-00365-x doi (DE-627)SPR046271864 (SPR)s43441-021-00365-x-e DE-627 ger DE-627 rakwb eng Chisaki, Yugo verfasserin (orcid)0000-0002-3492-8291 aut The Occurrence of Encephalitis Due to Immune Checkpoint Inhibitors: A Pharmacovigilance Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Drug Information Association, Inc 2022 Purpose Immune checkpoint inhibitors (ICIs) are associated with peculiar adverse events related to the mechanism of action. Less than 1% of patients treated with ICIs develop autoimmune encephalitis. The aim of this study was to compare the frequency of encephalitis development due to ICIs with encephalitis due to other drugs using the Japanese Adverse Drug Event Report (JADER) database and Bayesian confidence propagation neural networks for signal detection. Methods Data from the JADER database from April 2004 to December 2020 were downloaded via the Pharmaceuticals and Medical Devices Agency (PMDA) website. The Information Component (IC) values were calculated as an index of signal detection based on the Bayesian method. Results The lower bound of the 95% credible interval (CI) of the IC values for atezolizumab and pembrolizumab were greater than 0 in most of the periods. Thus, encephalitis occurred more frequently for atezolizumab and pembrolizumab than for other drugs. For nivolumab and ipilimumab, a significant signal was detected only for recent data. In contrast, the lower bounds of the 95% CIs for avelumab and durvalumab were smaller than 0 in most of the periods because encephalitis was seldom reported for avelumab and durvalumab. Conclusions We showed that encephalitis occurs more frequently for atezolizumab, pembrolizumab, nivolumab, and ipilimumab compared with the frequency for other drugs. The time of onset varied widely, and patients should be monitored for more than 1 year after the last administration of ICIs. Autoimmune encephalitis (dpeaa)DE-He213 Immune checkpoint inhibitors (dpeaa)DE-He213 Japanese adverse drug event report database (dpeaa)DE-He213 Information component (dpeaa)DE-He213 Hata, Hiroki (orcid)0000-0002-6798-816X aut Matsumura, Chikako (orcid)0000-0001-7553-6879 aut Yano, Yoshitaka (orcid)0000-0001-7787-883X aut Enthalten in Therapeutic innovation & regulatory science [New York] : Springer Nature, 2013 56(2022), 2 vom: 10. Jan., Seite 323-332 (DE-627)739896415 (DE-600)2708397-4 2168-4804 nnns volume:56 year:2022 number:2 day:10 month:01 pages:323-332 https://dx.doi.org/10.1007/s43441-021-00365-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 56 2022 2 10 01 323-332 |
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10.1007/s43441-021-00365-x doi (DE-627)SPR046271864 (SPR)s43441-021-00365-x-e DE-627 ger DE-627 rakwb eng Chisaki, Yugo verfasserin (orcid)0000-0002-3492-8291 aut The Occurrence of Encephalitis Due to Immune Checkpoint Inhibitors: A Pharmacovigilance Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Drug Information Association, Inc 2022 Purpose Immune checkpoint inhibitors (ICIs) are associated with peculiar adverse events related to the mechanism of action. Less than 1% of patients treated with ICIs develop autoimmune encephalitis. The aim of this study was to compare the frequency of encephalitis development due to ICIs with encephalitis due to other drugs using the Japanese Adverse Drug Event Report (JADER) database and Bayesian confidence propagation neural networks for signal detection. Methods Data from the JADER database from April 2004 to December 2020 were downloaded via the Pharmaceuticals and Medical Devices Agency (PMDA) website. The Information Component (IC) values were calculated as an index of signal detection based on the Bayesian method. Results The lower bound of the 95% credible interval (CI) of the IC values for atezolizumab and pembrolizumab were greater than 0 in most of the periods. Thus, encephalitis occurred more frequently for atezolizumab and pembrolizumab than for other drugs. For nivolumab and ipilimumab, a significant signal was detected only for recent data. In contrast, the lower bounds of the 95% CIs for avelumab and durvalumab were smaller than 0 in most of the periods because encephalitis was seldom reported for avelumab and durvalumab. Conclusions We showed that encephalitis occurs more frequently for atezolizumab, pembrolizumab, nivolumab, and ipilimumab compared with the frequency for other drugs. The time of onset varied widely, and patients should be monitored for more than 1 year after the last administration of ICIs. Autoimmune encephalitis (dpeaa)DE-He213 Immune checkpoint inhibitors (dpeaa)DE-He213 Japanese adverse drug event report database (dpeaa)DE-He213 Information component (dpeaa)DE-He213 Hata, Hiroki (orcid)0000-0002-6798-816X aut Matsumura, Chikako (orcid)0000-0001-7553-6879 aut Yano, Yoshitaka (orcid)0000-0001-7787-883X aut Enthalten in Therapeutic innovation & regulatory science [New York] : Springer Nature, 2013 56(2022), 2 vom: 10. Jan., Seite 323-332 (DE-627)739896415 (DE-600)2708397-4 2168-4804 nnns volume:56 year:2022 number:2 day:10 month:01 pages:323-332 https://dx.doi.org/10.1007/s43441-021-00365-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 56 2022 2 10 01 323-332 |
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10.1007/s43441-021-00365-x doi (DE-627)SPR046271864 (SPR)s43441-021-00365-x-e DE-627 ger DE-627 rakwb eng Chisaki, Yugo verfasserin (orcid)0000-0002-3492-8291 aut The Occurrence of Encephalitis Due to Immune Checkpoint Inhibitors: A Pharmacovigilance Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Drug Information Association, Inc 2022 Purpose Immune checkpoint inhibitors (ICIs) are associated with peculiar adverse events related to the mechanism of action. Less than 1% of patients treated with ICIs develop autoimmune encephalitis. The aim of this study was to compare the frequency of encephalitis development due to ICIs with encephalitis due to other drugs using the Japanese Adverse Drug Event Report (JADER) database and Bayesian confidence propagation neural networks for signal detection. Methods Data from the JADER database from April 2004 to December 2020 were downloaded via the Pharmaceuticals and Medical Devices Agency (PMDA) website. The Information Component (IC) values were calculated as an index of signal detection based on the Bayesian method. Results The lower bound of the 95% credible interval (CI) of the IC values for atezolizumab and pembrolizumab were greater than 0 in most of the periods. Thus, encephalitis occurred more frequently for atezolizumab and pembrolizumab than for other drugs. For nivolumab and ipilimumab, a significant signal was detected only for recent data. In contrast, the lower bounds of the 95% CIs for avelumab and durvalumab were smaller than 0 in most of the periods because encephalitis was seldom reported for avelumab and durvalumab. Conclusions We showed that encephalitis occurs more frequently for atezolizumab, pembrolizumab, nivolumab, and ipilimumab compared with the frequency for other drugs. The time of onset varied widely, and patients should be monitored for more than 1 year after the last administration of ICIs. Autoimmune encephalitis (dpeaa)DE-He213 Immune checkpoint inhibitors (dpeaa)DE-He213 Japanese adverse drug event report database (dpeaa)DE-He213 Information component (dpeaa)DE-He213 Hata, Hiroki (orcid)0000-0002-6798-816X aut Matsumura, Chikako (orcid)0000-0001-7553-6879 aut Yano, Yoshitaka (orcid)0000-0001-7787-883X aut Enthalten in Therapeutic innovation & regulatory science [New York] : Springer Nature, 2013 56(2022), 2 vom: 10. Jan., Seite 323-332 (DE-627)739896415 (DE-600)2708397-4 2168-4804 nnns volume:56 year:2022 number:2 day:10 month:01 pages:323-332 https://dx.doi.org/10.1007/s43441-021-00365-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 56 2022 2 10 01 323-332 |
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10.1007/s43441-021-00365-x doi (DE-627)SPR046271864 (SPR)s43441-021-00365-x-e DE-627 ger DE-627 rakwb eng Chisaki, Yugo verfasserin (orcid)0000-0002-3492-8291 aut The Occurrence of Encephalitis Due to Immune Checkpoint Inhibitors: A Pharmacovigilance Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Drug Information Association, Inc 2022 Purpose Immune checkpoint inhibitors (ICIs) are associated with peculiar adverse events related to the mechanism of action. Less than 1% of patients treated with ICIs develop autoimmune encephalitis. The aim of this study was to compare the frequency of encephalitis development due to ICIs with encephalitis due to other drugs using the Japanese Adverse Drug Event Report (JADER) database and Bayesian confidence propagation neural networks for signal detection. Methods Data from the JADER database from April 2004 to December 2020 were downloaded via the Pharmaceuticals and Medical Devices Agency (PMDA) website. The Information Component (IC) values were calculated as an index of signal detection based on the Bayesian method. Results The lower bound of the 95% credible interval (CI) of the IC values for atezolizumab and pembrolizumab were greater than 0 in most of the periods. Thus, encephalitis occurred more frequently for atezolizumab and pembrolizumab than for other drugs. For nivolumab and ipilimumab, a significant signal was detected only for recent data. In contrast, the lower bounds of the 95% CIs for avelumab and durvalumab were smaller than 0 in most of the periods because encephalitis was seldom reported for avelumab and durvalumab. Conclusions We showed that encephalitis occurs more frequently for atezolizumab, pembrolizumab, nivolumab, and ipilimumab compared with the frequency for other drugs. The time of onset varied widely, and patients should be monitored for more than 1 year after the last administration of ICIs. Autoimmune encephalitis (dpeaa)DE-He213 Immune checkpoint inhibitors (dpeaa)DE-He213 Japanese adverse drug event report database (dpeaa)DE-He213 Information component (dpeaa)DE-He213 Hata, Hiroki (orcid)0000-0002-6798-816X aut Matsumura, Chikako (orcid)0000-0001-7553-6879 aut Yano, Yoshitaka (orcid)0000-0001-7787-883X aut Enthalten in Therapeutic innovation & regulatory science [New York] : Springer Nature, 2013 56(2022), 2 vom: 10. Jan., Seite 323-332 (DE-627)739896415 (DE-600)2708397-4 2168-4804 nnns volume:56 year:2022 number:2 day:10 month:01 pages:323-332 https://dx.doi.org/10.1007/s43441-021-00365-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 56 2022 2 10 01 323-332 |
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Enthalten in Therapeutic innovation & regulatory science 56(2022), 2 vom: 10. Jan., Seite 323-332 volume:56 year:2022 number:2 day:10 month:01 pages:323-332 |
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Chisaki, Yugo @@aut@@ Hata, Hiroki @@aut@@ Matsumura, Chikako @@aut@@ Yano, Yoshitaka @@aut@@ |
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Less than 1% of patients treated with ICIs develop autoimmune encephalitis. The aim of this study was to compare the frequency of encephalitis development due to ICIs with encephalitis due to other drugs using the Japanese Adverse Drug Event Report (JADER) database and Bayesian confidence propagation neural networks for signal detection. Methods Data from the JADER database from April 2004 to December 2020 were downloaded via the Pharmaceuticals and Medical Devices Agency (PMDA) website. The Information Component (IC) values were calculated as an index of signal detection based on the Bayesian method. Results The lower bound of the 95% credible interval (CI) of the IC values for atezolizumab and pembrolizumab were greater than 0 in most of the periods. Thus, encephalitis occurred more frequently for atezolizumab and pembrolizumab than for other drugs. For nivolumab and ipilimumab, a significant signal was detected only for recent data. In contrast, the lower bounds of the 95% CIs for avelumab and durvalumab were smaller than 0 in most of the periods because encephalitis was seldom reported for avelumab and durvalumab. Conclusions We showed that encephalitis occurs more frequently for atezolizumab, pembrolizumab, nivolumab, and ipilimumab compared with the frequency for other drugs. 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Chisaki, Yugo |
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The Occurrence of Encephalitis Due to Immune Checkpoint Inhibitors: A Pharmacovigilance Study Autoimmune encephalitis (dpeaa)DE-He213 Immune checkpoint inhibitors (dpeaa)DE-He213 Japanese adverse drug event report database (dpeaa)DE-He213 Information component (dpeaa)DE-He213 |
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occurrence of encephalitis due to immune checkpoint inhibitors: a pharmacovigilance study |
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The Occurrence of Encephalitis Due to Immune Checkpoint Inhibitors: A Pharmacovigilance Study |
| abstract |
Purpose Immune checkpoint inhibitors (ICIs) are associated with peculiar adverse events related to the mechanism of action. Less than 1% of patients treated with ICIs develop autoimmune encephalitis. The aim of this study was to compare the frequency of encephalitis development due to ICIs with encephalitis due to other drugs using the Japanese Adverse Drug Event Report (JADER) database and Bayesian confidence propagation neural networks for signal detection. Methods Data from the JADER database from April 2004 to December 2020 were downloaded via the Pharmaceuticals and Medical Devices Agency (PMDA) website. The Information Component (IC) values were calculated as an index of signal detection based on the Bayesian method. Results The lower bound of the 95% credible interval (CI) of the IC values for atezolizumab and pembrolizumab were greater than 0 in most of the periods. Thus, encephalitis occurred more frequently for atezolizumab and pembrolizumab than for other drugs. For nivolumab and ipilimumab, a significant signal was detected only for recent data. In contrast, the lower bounds of the 95% CIs for avelumab and durvalumab were smaller than 0 in most of the periods because encephalitis was seldom reported for avelumab and durvalumab. Conclusions We showed that encephalitis occurs more frequently for atezolizumab, pembrolizumab, nivolumab, and ipilimumab compared with the frequency for other drugs. The time of onset varied widely, and patients should be monitored for more than 1 year after the last administration of ICIs. © The Drug Information Association, Inc 2022 |
| abstractGer |
Purpose Immune checkpoint inhibitors (ICIs) are associated with peculiar adverse events related to the mechanism of action. Less than 1% of patients treated with ICIs develop autoimmune encephalitis. The aim of this study was to compare the frequency of encephalitis development due to ICIs with encephalitis due to other drugs using the Japanese Adverse Drug Event Report (JADER) database and Bayesian confidence propagation neural networks for signal detection. Methods Data from the JADER database from April 2004 to December 2020 were downloaded via the Pharmaceuticals and Medical Devices Agency (PMDA) website. The Information Component (IC) values were calculated as an index of signal detection based on the Bayesian method. Results The lower bound of the 95% credible interval (CI) of the IC values for atezolizumab and pembrolizumab were greater than 0 in most of the periods. Thus, encephalitis occurred more frequently for atezolizumab and pembrolizumab than for other drugs. For nivolumab and ipilimumab, a significant signal was detected only for recent data. In contrast, the lower bounds of the 95% CIs for avelumab and durvalumab were smaller than 0 in most of the periods because encephalitis was seldom reported for avelumab and durvalumab. Conclusions We showed that encephalitis occurs more frequently for atezolizumab, pembrolizumab, nivolumab, and ipilimumab compared with the frequency for other drugs. The time of onset varied widely, and patients should be monitored for more than 1 year after the last administration of ICIs. © The Drug Information Association, Inc 2022 |
| abstract_unstemmed |
Purpose Immune checkpoint inhibitors (ICIs) are associated with peculiar adverse events related to the mechanism of action. Less than 1% of patients treated with ICIs develop autoimmune encephalitis. The aim of this study was to compare the frequency of encephalitis development due to ICIs with encephalitis due to other drugs using the Japanese Adverse Drug Event Report (JADER) database and Bayesian confidence propagation neural networks for signal detection. Methods Data from the JADER database from April 2004 to December 2020 were downloaded via the Pharmaceuticals and Medical Devices Agency (PMDA) website. The Information Component (IC) values were calculated as an index of signal detection based on the Bayesian method. Results The lower bound of the 95% credible interval (CI) of the IC values for atezolizumab and pembrolizumab were greater than 0 in most of the periods. Thus, encephalitis occurred more frequently for atezolizumab and pembrolizumab than for other drugs. For nivolumab and ipilimumab, a significant signal was detected only for recent data. In contrast, the lower bounds of the 95% CIs for avelumab and durvalumab were smaller than 0 in most of the periods because encephalitis was seldom reported for avelumab and durvalumab. Conclusions We showed that encephalitis occurs more frequently for atezolizumab, pembrolizumab, nivolumab, and ipilimumab compared with the frequency for other drugs. The time of onset varied widely, and patients should be monitored for more than 1 year after the last administration of ICIs. © The Drug Information Association, Inc 2022 |
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| title_short |
The Occurrence of Encephalitis Due to Immune Checkpoint Inhibitors: A Pharmacovigilance Study |
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https://dx.doi.org/10.1007/s43441-021-00365-x |
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Hata, Hiroki Matsumura, Chikako Yano, Yoshitaka |
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10.1007/s43441-021-00365-x |
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2024-07-03T21:29:13.754Z |
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| score |
7.399845 |