Investigating the Safety Profile of Fast‐Track COVID‐19 Drugs Using the FDA Adverse Event Reporting System Database: A Comparative Observational Study

ABSTRACT Background The US Food and Drug Administration (US FDA) granted emergency use authorization (EUA) for multiple coronavirus disease 2019 (COVID‐19) drugs as a medical countermeasure during the COVID‐19 pandemic. Despite these drugs' fast‐track nature, concerns persist regarding their ef...

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Veröffentlicht in:Pharmacoepidemiology and drug safety 2024-11, Vol.33 (11), p.e70043-n/a
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Yoon, Jeong‐Hwa
Lee, Kye Hwa
description ABSTRACT Background The US Food and Drug Administration (US FDA) granted emergency use authorization (EUA) for multiple coronavirus disease 2019 (COVID‐19) drugs as a medical countermeasure during the COVID‐19 pandemic. Despite these drugs' fast‐track nature, concerns persist regarding their efficacy and potential adverse effects. Thus, the continuous surveillance and understanding of these drugs' safety profiles are crucial in such scenarios. Objective Using the FDA Adverse Event Reporting System (FAERS) database, we aimed to compare the adverse drug reactions (ADRs) of four fast‐track COVID‐19 drugs to explore the potential of real‐world data for providing prompt feedback in clinical settings. Methods To evaluate the post‐marketing safety of fast‐track COVID‐19 drugs, we descriptively evaluated the ADRs of four COVID‐19 drugs (bebtelovimab, molnupiravir, nirmatrelvir/ritonavir, and remdesivir) using FAERS data reported from January 2020 to June 2022. We examined FAERS case records of COVID‐19 drugs reported as the “primary suspect drug” as a case group and the records of other drugs as the control. “Serious adverse drug reactions (SADRs)” were defined based on FDA guidelines. Using reporting odds ratios, disproportionality analysis was conducted to determine significant signals for ADRs related to each of the four drugs compared with those of others, both at the preferred term (PT) and system organ class (SOC) levels. To explore the occurrence of reporting each serious outcome reported to the four drugs, we fitted logistic regression models, adjusting for age and sex. Results During the study period, 5 248 221 cases were submitted to FAERS, including 17 275 cases of the four COVID‐19 drugs: bebtelovimab (532 cases), molnupiravir (1106 cases), nirmatrelvir/ritonavir (9217 cases), and remdesivir (6420 cases). A total of 64, 46, 116, and 207 PTs with significant disproportionality were identified for each drug, respectively. “Infusion‐related reaction” (18.4%), “diarrhea” (7.4%), “dysgeusia” (11.4%), and “increased alanine aminotransferase” (14.5%) were the most frequently reported SADRs for bebtelovimab, molnupiravir, nirmatrelvir/ritonavir, and remdesivir, respectively. Among the 27 SOCs, statistically significant signals were observed in 10, 3, 0, and 8 SOCs for bebtelovimab, molnupiravir, nirmatrelvir/ritonavir, and remdesivir, respectively. Remdesivir showed a higher occurrence for the reporting of death or life‐threatening ADRs compared with the contr
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Despite these drugs' fast‐track nature, concerns persist regarding their efficacy and potential adverse effects. Thus, the continuous surveillance and understanding of these drugs' safety profiles are crucial in such scenarios. Objective Using the FDA Adverse Event Reporting System (FAERS) database, we aimed to compare the adverse drug reactions (ADRs) of four fast‐track COVID‐19 drugs to explore the potential of real‐world data for providing prompt feedback in clinical settings. Methods To evaluate the post‐marketing safety of fast‐track COVID‐19 drugs, we descriptively evaluated the ADRs of four COVID‐19 drugs (bebtelovimab, molnupiravir, nirmatrelvir/ritonavir, and remdesivir) using FAERS data reported from January 2020 to June 2022. We examined FAERS case records of COVID‐19 drugs reported as the “primary suspect drug” as a case group and the records of other drugs as the control. “Serious adverse drug reactions (SADRs)” were defined based on FDA guidelines. Using reporting odds ratios, disproportionality analysis was conducted to determine significant signals for ADRs related to each of the four drugs compared with those of others, both at the preferred term (PT) and system organ class (SOC) levels. To explore the occurrence of reporting each serious outcome reported to the four drugs, we fitted logistic regression models, adjusting for age and sex. Results During the study period, 5 248 221 cases were submitted to FAERS, including 17 275 cases of the four COVID‐19 drugs: bebtelovimab (532 cases), molnupiravir (1106 cases), nirmatrelvir/ritonavir (9217 cases), and remdesivir (6420 cases). A total of 64, 46, 116, and 207 PTs with significant disproportionality were identified for each drug, respectively. “Infusion‐related reaction” (18.4%), “diarrhea” (7.4%), “dysgeusia” (11.4%), and “increased alanine aminotransferase” (14.5%) were the most frequently reported SADRs for bebtelovimab, molnupiravir, nirmatrelvir/ritonavir, and remdesivir, respectively. Among the 27 SOCs, statistically significant signals were observed in 10, 3, 0, and 8 SOCs for bebtelovimab, molnupiravir, nirmatrelvir/ritonavir, and remdesivir, respectively. Remdesivir showed a higher occurrence for the reporting of death or life‐threatening ADRs compared with the control (adjusted odds ratio (OR) = 2.44, 95% confidence interval (CI) = 2.23–2.59; adjusted OR = 1.82, 95% CI = 1.64–2.02, respectively). Conclusions We identified potential ADRs associated with COVID‐19 drugs and provided insights into their real‐world safety. This study demonstrated that real‐world data and real‐time safety reviews could be effective methods for the timely detection of ADR signals of drugs that have received fast‐track approval, as exemplified by COVID‐19 drugs. These findings underscore the importance of the continued surveillance, efficient data processing, and establishment of automated pipelines for real‐time safety reviews.</description><identifier>ISSN: 1053-8569</identifier><identifier>ISSN: 1099-1557</identifier><identifier>EISSN: 1099-1557</identifier><identifier>DOI: 10.1002/pds.70043</identifier><identifier>PMID: 39533148</identifier><language>eng</language><publisher>Chichester, UK: John Wiley &amp; Sons, Inc</publisher><subject><![CDATA[Adenosine Monophosphate - adverse effects ; Adenosine Monophosphate - analogs & derivatives ; Adenosine Monophosphate - therapeutic use ; Adolescent ; Adult ; adverse drug reaction ; Adverse Drug Reaction Reporting Systems - statistics & numerical data ; Adverse events ; Aged ; Alanine - adverse effects ; Alanine - analogs & derivatives ; Alanine - therapeutic use ; Alanine transaminase ; Antibodies, Monoclonal, Humanized - adverse effects ; Antiviral Agents - adverse effects ; Antiviral Agents - therapeutic use ; Child ; Child, Preschool ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 Drug Treatment ; Cytidine - analogs & derivatives ; Databases, Factual - statistics & numerical data ; Diarrhea ; Drug Combinations ; Drug development ; Drugs ; FDA adverse event reporting system ; Female ; Humans ; Hydroxylamines ; Infant ; Male ; Middle Aged ; Observational studies ; Pharmacovigilance ; post‐marketing surveillance ; Product Surveillance, Postmarketing - methods ; Product Surveillance, Postmarketing - statistics & numerical data ; real‐world data ; Regression analysis ; Ritonavir ; Ritonavir - adverse effects ; Safety ; Side effects ; Statistical analysis ; United States - epidemiology ; United States Food and Drug Administration ; Young Adult]]></subject><ispartof>Pharmacoepidemiology and drug safety, 2024-11, Vol.33 (11), p.e70043-n/a</ispartof><rights>2024 The Author(s). published by John Wiley &amp; Sons Ltd.</rights><rights>2024 The Author(s). Pharmacoepidemiology and Drug Safety published by John Wiley &amp; Sons Ltd.</rights><rights>2024. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2433-6c9a03f81d0cbd35c7d59aee4370f5a7c1bdd7c61e1790750dd7fd81144700233</cites><orcidid>0000-0001-9555-0926 ; 0000-0002-7593-7020 ; 0000-0002-9150-3732</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fpds.70043$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fpds.70043$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39533148$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Hyo Jung</creatorcontrib><creatorcontrib>Yoon, Jeong‐Hwa</creatorcontrib><creatorcontrib>Lee, Kye Hwa</creatorcontrib><title>Investigating the Safety Profile of Fast‐Track COVID‐19 Drugs Using the FDA Adverse Event Reporting System Database: A Comparative Observational Study</title><title>Pharmacoepidemiology and drug safety</title><addtitle>Pharmacoepidemiol Drug Saf</addtitle><description>ABSTRACT Background The US Food and Drug Administration (US FDA) granted emergency use authorization (EUA) for multiple coronavirus disease 2019 (COVID‐19) drugs as a medical countermeasure during the COVID‐19 pandemic. Despite these drugs' fast‐track nature, concerns persist regarding their efficacy and potential adverse effects. Thus, the continuous surveillance and understanding of these drugs' safety profiles are crucial in such scenarios. Objective Using the FDA Adverse Event Reporting System (FAERS) database, we aimed to compare the adverse drug reactions (ADRs) of four fast‐track COVID‐19 drugs to explore the potential of real‐world data for providing prompt feedback in clinical settings. Methods To evaluate the post‐marketing safety of fast‐track COVID‐19 drugs, we descriptively evaluated the ADRs of four COVID‐19 drugs (bebtelovimab, molnupiravir, nirmatrelvir/ritonavir, and remdesivir) using FAERS data reported from January 2020 to June 2022. We examined FAERS case records of COVID‐19 drugs reported as the “primary suspect drug” as a case group and the records of other drugs as the control. “Serious adverse drug reactions (SADRs)” were defined based on FDA guidelines. Using reporting odds ratios, disproportionality analysis was conducted to determine significant signals for ADRs related to each of the four drugs compared with those of others, both at the preferred term (PT) and system organ class (SOC) levels. To explore the occurrence of reporting each serious outcome reported to the four drugs, we fitted logistic regression models, adjusting for age and sex. Results During the study period, 5 248 221 cases were submitted to FAERS, including 17 275 cases of the four COVID‐19 drugs: bebtelovimab (532 cases), molnupiravir (1106 cases), nirmatrelvir/ritonavir (9217 cases), and remdesivir (6420 cases). A total of 64, 46, 116, and 207 PTs with significant disproportionality were identified for each drug, respectively. “Infusion‐related reaction” (18.4%), “diarrhea” (7.4%), “dysgeusia” (11.4%), and “increased alanine aminotransferase” (14.5%) were the most frequently reported SADRs for bebtelovimab, molnupiravir, nirmatrelvir/ritonavir, and remdesivir, respectively. Among the 27 SOCs, statistically significant signals were observed in 10, 3, 0, and 8 SOCs for bebtelovimab, molnupiravir, nirmatrelvir/ritonavir, and remdesivir, respectively. Remdesivir showed a higher occurrence for the reporting of death or life‐threatening ADRs compared with the control (adjusted odds ratio (OR) = 2.44, 95% confidence interval (CI) = 2.23–2.59; adjusted OR = 1.82, 95% CI = 1.64–2.02, respectively). Conclusions We identified potential ADRs associated with COVID‐19 drugs and provided insights into their real‐world safety. This study demonstrated that real‐world data and real‐time safety reviews could be effective methods for the timely detection of ADR signals of drugs that have received fast‐track approval, as exemplified by COVID‐19 drugs. These findings underscore the importance of the continued surveillance, efficient data processing, and establishment of automated pipelines for real‐time safety reviews.</description><subject>Adenosine Monophosphate - adverse effects</subject><subject>Adenosine Monophosphate - analogs &amp; derivatives</subject><subject>Adenosine Monophosphate - therapeutic use</subject><subject>Adolescent</subject><subject>Adult</subject><subject>adverse drug reaction</subject><subject>Adverse Drug Reaction Reporting Systems - statistics &amp; numerical data</subject><subject>Adverse events</subject><subject>Aged</subject><subject>Alanine - adverse effects</subject><subject>Alanine - analogs &amp; derivatives</subject><subject>Alanine - therapeutic use</subject><subject>Alanine transaminase</subject><subject>Antibodies, Monoclonal, Humanized - adverse effects</subject><subject>Antiviral Agents - adverse effects</subject><subject>Antiviral Agents - therapeutic use</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 Drug Treatment</subject><subject>Cytidine - analogs &amp; derivatives</subject><subject>Databases, Factual - statistics &amp; numerical data</subject><subject>Diarrhea</subject><subject>Drug Combinations</subject><subject>Drug development</subject><subject>Drugs</subject><subject>FDA adverse event reporting system</subject><subject>Female</subject><subject>Humans</subject><subject>Hydroxylamines</subject><subject>Infant</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Observational studies</subject><subject>Pharmacovigilance</subject><subject>post‐marketing surveillance</subject><subject>Product Surveillance, Postmarketing - methods</subject><subject>Product Surveillance, Postmarketing - statistics &amp; numerical data</subject><subject>real‐world data</subject><subject>Regression analysis</subject><subject>Ritonavir</subject><subject>Ritonavir - adverse effects</subject><subject>Safety</subject><subject>Side effects</subject><subject>Statistical analysis</subject><subject>United States - epidemiology</subject><subject>United States Food and Drug Administration</subject><subject>Young Adult</subject><issn>1053-8569</issn><issn>1099-1557</issn><issn>1099-1557</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNp1kcFu1DAQhi1ERUvhwAsgS1zgkNZex5uY22rTpStV2optuUaOPVlSkji1naDc-gg983h9knqblgMSJ8_In_-x5kPoAyUnlJDZaafdSUJIzF6hI0qEiCjnyet9zVmU8rk4RG-duyEk3In4DTpkgjNG4_QI_Vm3Azhf7aSv2h32PwFvZQl-xJfWlFUN2JR4JZ1_uLu_slL9wsvNj3UWOipwZvudw9fu5eUqW-CFHsA6wGcDtB5_h87Yp-Tt6Dw0OJNeFtLBV7zAS9N00obBA-BN4cAOoTatrPHW93p8hw5KWTt4_3weo-vV2dXyPLrYfFsvFxeRmsWMRXMlJGFlSjVRhWZcJZoLCRCzhJRcJooWWidqToEmgiSchK7UKaVxHHY2Y-wYfZ5yO2tu-7CMvKmcgrqWLZje5YzO0pQynpKAfvoHvTG9DT-eKJYGB3vqy0Qpa5yzUOadrRppx5ySfC8sD8LyJ2GB_fic2BcN6L_ki6EAnE7A7yBj_H9Sfpltp8hHUCug2w</recordid><startdate>202411</startdate><enddate>202411</enddate><creator>Kim, Hyo Jung</creator><creator>Yoon, Jeong‐Hwa</creator><creator>Lee, Kye Hwa</creator><general>John Wiley &amp; Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9555-0926</orcidid><orcidid>https://orcid.org/0000-0002-7593-7020</orcidid><orcidid>https://orcid.org/0000-0002-9150-3732</orcidid></search><sort><creationdate>202411</creationdate><title>Investigating the Safety Profile of Fast‐Track COVID‐19 Drugs Using the FDA Adverse Event Reporting System Database: A Comparative Observational Study</title><author>Kim, Hyo Jung ; Yoon, Jeong‐Hwa ; Lee, Kye Hwa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2433-6c9a03f81d0cbd35c7d59aee4370f5a7c1bdd7c61e1790750dd7fd81144700233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adenosine Monophosphate - adverse effects</topic><topic>Adenosine Monophosphate - analogs &amp; derivatives</topic><topic>Adenosine Monophosphate - therapeutic use</topic><topic>Adolescent</topic><topic>Adult</topic><topic>adverse drug reaction</topic><topic>Adverse Drug Reaction Reporting Systems - statistics &amp; numerical data</topic><topic>Adverse events</topic><topic>Aged</topic><topic>Alanine - adverse effects</topic><topic>Alanine - analogs &amp; derivatives</topic><topic>Alanine - therapeutic use</topic><topic>Alanine transaminase</topic><topic>Antibodies, Monoclonal, Humanized - adverse effects</topic><topic>Antiviral Agents - adverse effects</topic><topic>Antiviral Agents - therapeutic use</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 Drug Treatment</topic><topic>Cytidine - analogs &amp; derivatives</topic><topic>Databases, Factual - statistics &amp; numerical data</topic><topic>Diarrhea</topic><topic>Drug Combinations</topic><topic>Drug development</topic><topic>Drugs</topic><topic>FDA adverse event reporting system</topic><topic>Female</topic><topic>Humans</topic><topic>Hydroxylamines</topic><topic>Infant</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Observational studies</topic><topic>Pharmacovigilance</topic><topic>post‐marketing surveillance</topic><topic>Product Surveillance, Postmarketing - methods</topic><topic>Product Surveillance, Postmarketing - statistics &amp; numerical data</topic><topic>real‐world data</topic><topic>Regression analysis</topic><topic>Ritonavir</topic><topic>Ritonavir - adverse effects</topic><topic>Safety</topic><topic>Side effects</topic><topic>Statistical analysis</topic><topic>United States - epidemiology</topic><topic>United States Food and Drug Administration</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Hyo Jung</creatorcontrib><creatorcontrib>Yoon, Jeong‐Hwa</creatorcontrib><creatorcontrib>Lee, Kye Hwa</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Pharmacoepidemiology and drug safety</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Hyo Jung</au><au>Yoon, Jeong‐Hwa</au><au>Lee, Kye Hwa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigating the Safety Profile of Fast‐Track COVID‐19 Drugs Using the FDA Adverse Event Reporting System Database: A Comparative Observational Study</atitle><jtitle>Pharmacoepidemiology and drug safety</jtitle><addtitle>Pharmacoepidemiol Drug Saf</addtitle><date>2024-11</date><risdate>2024</risdate><volume>33</volume><issue>11</issue><spage>e70043</spage><epage>n/a</epage><pages>e70043-n/a</pages><issn>1053-8569</issn><issn>1099-1557</issn><eissn>1099-1557</eissn><abstract>ABSTRACT Background The US Food and Drug Administration (US FDA) granted emergency use authorization (EUA) for multiple coronavirus disease 2019 (COVID‐19) drugs as a medical countermeasure during the COVID‐19 pandemic. Despite these drugs' fast‐track nature, concerns persist regarding their efficacy and potential adverse effects. Thus, the continuous surveillance and understanding of these drugs' safety profiles are crucial in such scenarios. Objective Using the FDA Adverse Event Reporting System (FAERS) database, we aimed to compare the adverse drug reactions (ADRs) of four fast‐track COVID‐19 drugs to explore the potential of real‐world data for providing prompt feedback in clinical settings. Methods To evaluate the post‐marketing safety of fast‐track COVID‐19 drugs, we descriptively evaluated the ADRs of four COVID‐19 drugs (bebtelovimab, molnupiravir, nirmatrelvir/ritonavir, and remdesivir) using FAERS data reported from January 2020 to June 2022. We examined FAERS case records of COVID‐19 drugs reported as the “primary suspect drug” as a case group and the records of other drugs as the control. “Serious adverse drug reactions (SADRs)” were defined based on FDA guidelines. Using reporting odds ratios, disproportionality analysis was conducted to determine significant signals for ADRs related to each of the four drugs compared with those of others, both at the preferred term (PT) and system organ class (SOC) levels. To explore the occurrence of reporting each serious outcome reported to the four drugs, we fitted logistic regression models, adjusting for age and sex. Results During the study period, 5 248 221 cases were submitted to FAERS, including 17 275 cases of the four COVID‐19 drugs: bebtelovimab (532 cases), molnupiravir (1106 cases), nirmatrelvir/ritonavir (9217 cases), and remdesivir (6420 cases). A total of 64, 46, 116, and 207 PTs with significant disproportionality were identified for each drug, respectively. “Infusion‐related reaction” (18.4%), “diarrhea” (7.4%), “dysgeusia” (11.4%), and “increased alanine aminotransferase” (14.5%) were the most frequently reported SADRs for bebtelovimab, molnupiravir, nirmatrelvir/ritonavir, and remdesivir, respectively. Among the 27 SOCs, statistically significant signals were observed in 10, 3, 0, and 8 SOCs for bebtelovimab, molnupiravir, nirmatrelvir/ritonavir, and remdesivir, respectively. Remdesivir showed a higher occurrence for the reporting of death or life‐threatening ADRs compared with the control (adjusted odds ratio (OR) = 2.44, 95% confidence interval (CI) = 2.23–2.59; adjusted OR = 1.82, 95% CI = 1.64–2.02, respectively). Conclusions We identified potential ADRs associated with COVID‐19 drugs and provided insights into their real‐world safety. This study demonstrated that real‐world data and real‐time safety reviews could be effective methods for the timely detection of ADR signals of drugs that have received fast‐track approval, as exemplified by COVID‐19 drugs. These findings underscore the importance of the continued surveillance, efficient data processing, and establishment of automated pipelines for real‐time safety reviews.</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>39533148</pmid><doi>10.1002/pds.70043</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0001-9555-0926</orcidid><orcidid>https://orcid.org/0000-0002-7593-7020</orcidid><orcidid>https://orcid.org/0000-0002-9150-3732</orcidid><oa>free_for_read</oa></addata></record>
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subjects Adenosine Monophosphate - adverse effects
Adenosine Monophosphate - analogs & derivatives
Adenosine Monophosphate - therapeutic use
Adolescent
Adult
adverse drug reaction
Adverse Drug Reaction Reporting Systems - statistics & numerical data
Adverse events
Aged
Alanine - adverse effects
Alanine - analogs & derivatives
Alanine - therapeutic use
Alanine transaminase
Antibodies, Monoclonal, Humanized - adverse effects
Antiviral Agents - adverse effects
Antiviral Agents - therapeutic use
Child
Child, Preschool
Coronaviruses
COVID-19
COVID-19 - epidemiology
COVID-19 Drug Treatment
Cytidine - analogs & derivatives
Databases, Factual - statistics & numerical data
Diarrhea
Drug Combinations
Drug development
Drugs
FDA adverse event reporting system
Female
Humans
Hydroxylamines
Infant
Male
Middle Aged
Observational studies
Pharmacovigilance
post‐marketing surveillance
Product Surveillance, Postmarketing - methods
Product Surveillance, Postmarketing - statistics & numerical data
real‐world data
Regression analysis
Ritonavir
Ritonavir - adverse effects
Safety
Side effects
Statistical analysis
United States - epidemiology
United States Food and Drug Administration
Young Adult
title Investigating the Safety Profile of Fast‐Track COVID‐19 Drugs Using the FDA Adverse Event Reporting System Database: A Comparative Observational Study
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