Gini Index-Based Maximum Concentration and Area Under the Curve Split Points for Analysing Adverse Event Occurrence in Bioequivalence Studies

Background Few publications focus on adverse events (AEs) or suspected adverse drug reactions (SADRs) registered during bioequivalence (BE) studies. Objective The aim was to characterise AEs reported in BE studies at a Mexican investigation site between the years 2011 and 2016, and to estimate occur...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Pharmaceutical medicine 2018-02, Vol.32 (1), p.51-66
Hauptverfasser: Torres-García, Blanca L., Castro-Pastrana, Lucila I., Rodríguez-Rodríguez, Sara, Estrada-Marín, Larisa, Cedillo-Carvallo, Beatriz, Guzmán-García, Olga, Ruíz-Argüelles, Alejandro
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 66
container_issue 1
container_start_page 51
container_title Pharmaceutical medicine
container_volume 32
creator Torres-García, Blanca L.
Castro-Pastrana, Lucila I.
Rodríguez-Rodríguez, Sara
Estrada-Marín, Larisa
Cedillo-Carvallo, Beatriz
Guzmán-García, Olga
Ruíz-Argüelles, Alejandro
description Background Few publications focus on adverse events (AEs) or suspected adverse drug reactions (SADRs) registered during bioequivalence (BE) studies. Objective The aim was to characterise AEs reported in BE studies at a Mexican investigation site between the years 2011 and 2016, and to estimate occurrence using maximum plasma concentration ( C max ) and area under the plasma concentration curve from administration to last observed concentration at time t (AUC 0– t ) values, with the Gini index method. Methods Reported AEs were recorded from 61 BE studies that were conducted by Laboratorios Clínicos de Puebla de Bioequivalencia, which is a third-party laboratory certified by the Mexican health authorities to conduct BE studies. AEs were then characterised in terms of occurrence, study period, nature, type, severity, causality and outcomes. The Gini index method was then applied, after excluding AEs that were classified as not drug-related, and distributions of SADRs were quantified according to estimated C max and AUC 0– t cut-off values. Results We classified the occurrence of SADRs in 61 BE studies after calculating Gini index-based pharmacokinetic cut-off values for 42 drugs evaluated in healthy Mexicans. Although more SADRs occurred above C max and/or AUC 0– t cut-off values in most studies, some therapeutic classes (cardiovascular and respiratory systems) were associated with larger numbers of SADRs occurring below split points. Conclusions The present data confirm the safety of BE studies, but indicate the need for further assessments of inter-individual differences according to the incidence of SADRs. The Gini index method represents an easy statistical approach for analysing safety data collected from BE studies and offers a risk management strategy for new generic medicines.
doi_str_mv 10.1007/s40290-017-0217-3
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2220184829</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2220184829</sourcerecordid><originalsourceid>FETCH-LOGICAL-c268t-e6081b1c2f2ffdc33262383f334a821e4d899ca5153f141650cd76ae8c17ac233</originalsourceid><addsrcrecordid>eNp1kN1OAjEQhTdGEwnyAN5N4vVqf_anewkElQSDCXLdlO4s1ixdaHcJPITvbAETr7yZmUzO-TJzouiekkdKSP7kE8IKEhOax4SFwq-iHqV5EdOi4NfnWcQsLdLbaOC9WRHGuRBZnvei7xdjDUxtiYd4pDyW8KYOZtNtYNxYjbZ1qjWNBWVLGDpUsAxSB-0nwrhze4TFtjYtvDfGth6qxsHQqvrojV3DsNyj8wiTfeDAXOvOOQxQMBZGpsFdZ_aqPm8WbVca9HfRTaVqj4Pf3o-Wz5OP8Ws8m79Mx8NZrFkm2hgzIuiKalaxqio15yxjXPCK80QJRjEpRVFoldKUVzShWUp0mWcKhaa50uH5fvRw4W5ds-vQt_Kr6Vw43EvGGKEiEawIKnpRadd477CSW2c2yh0lJfIUvLwEL0Pw8hS8PJHZxeOD1q7R_ZH_N_0AmUyGmg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2220184829</pqid></control><display><type>article</type><title>Gini Index-Based Maximum Concentration and Area Under the Curve Split Points for Analysing Adverse Event Occurrence in Bioequivalence Studies</title><source>SpringerLink Journals - AutoHoldings</source><creator>Torres-García, Blanca L. ; Castro-Pastrana, Lucila I. ; Rodríguez-Rodríguez, Sara ; Estrada-Marín, Larisa ; Cedillo-Carvallo, Beatriz ; Guzmán-García, Olga ; Ruíz-Argüelles, Alejandro</creator><creatorcontrib>Torres-García, Blanca L. ; Castro-Pastrana, Lucila I. ; Rodríguez-Rodríguez, Sara ; Estrada-Marín, Larisa ; Cedillo-Carvallo, Beatriz ; Guzmán-García, Olga ; Ruíz-Argüelles, Alejandro</creatorcontrib><description>Background Few publications focus on adverse events (AEs) or suspected adverse drug reactions (SADRs) registered during bioequivalence (BE) studies. Objective The aim was to characterise AEs reported in BE studies at a Mexican investigation site between the years 2011 and 2016, and to estimate occurrence using maximum plasma concentration ( C max ) and area under the plasma concentration curve from administration to last observed concentration at time t (AUC 0– t ) values, with the Gini index method. Methods Reported AEs were recorded from 61 BE studies that were conducted by Laboratorios Clínicos de Puebla de Bioequivalencia, which is a third-party laboratory certified by the Mexican health authorities to conduct BE studies. AEs were then characterised in terms of occurrence, study period, nature, type, severity, causality and outcomes. The Gini index method was then applied, after excluding AEs that were classified as not drug-related, and distributions of SADRs were quantified according to estimated C max and AUC 0– t cut-off values. Results We classified the occurrence of SADRs in 61 BE studies after calculating Gini index-based pharmacokinetic cut-off values for 42 drugs evaluated in healthy Mexicans. Although more SADRs occurred above C max and/or AUC 0– t cut-off values in most studies, some therapeutic classes (cardiovascular and respiratory systems) were associated with larger numbers of SADRs occurring below split points. Conclusions The present data confirm the safety of BE studies, but indicate the need for further assessments of inter-individual differences according to the incidence of SADRs. The Gini index method represents an easy statistical approach for analysing safety data collected from BE studies and offers a risk management strategy for new generic medicines.</description><identifier>ISSN: 1178-2595</identifier><identifier>EISSN: 1179-1993</identifier><identifier>DOI: 10.1007/s40290-017-0217-3</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Bioequivalence ; Biomedical and Life Sciences ; Biomedicine ; Economic statistics ; Generic drugs ; Laboratories ; Original Research Article ; Pharmaceutical industry ; Pharmaceutical Sciences/Technology ; Pharmacology/Toxicology ; Pharmacotherapy ; Studies</subject><ispartof>Pharmaceutical medicine, 2018-02, Vol.32 (1), p.51-66</ispartof><rights>Springer International Publishing AG, part of Springer Nature 2017</rights><rights>Copyright Springer Nature B.V. Feb 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c268t-e6081b1c2f2ffdc33262383f334a821e4d899ca5153f141650cd76ae8c17ac233</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40290-017-0217-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40290-017-0217-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Torres-García, Blanca L.</creatorcontrib><creatorcontrib>Castro-Pastrana, Lucila I.</creatorcontrib><creatorcontrib>Rodríguez-Rodríguez, Sara</creatorcontrib><creatorcontrib>Estrada-Marín, Larisa</creatorcontrib><creatorcontrib>Cedillo-Carvallo, Beatriz</creatorcontrib><creatorcontrib>Guzmán-García, Olga</creatorcontrib><creatorcontrib>Ruíz-Argüelles, Alejandro</creatorcontrib><title>Gini Index-Based Maximum Concentration and Area Under the Curve Split Points for Analysing Adverse Event Occurrence in Bioequivalence Studies</title><title>Pharmaceutical medicine</title><addtitle>Pharm Med</addtitle><description>Background Few publications focus on adverse events (AEs) or suspected adverse drug reactions (SADRs) registered during bioequivalence (BE) studies. Objective The aim was to characterise AEs reported in BE studies at a Mexican investigation site between the years 2011 and 2016, and to estimate occurrence using maximum plasma concentration ( C max ) and area under the plasma concentration curve from administration to last observed concentration at time t (AUC 0– t ) values, with the Gini index method. Methods Reported AEs were recorded from 61 BE studies that were conducted by Laboratorios Clínicos de Puebla de Bioequivalencia, which is a third-party laboratory certified by the Mexican health authorities to conduct BE studies. AEs were then characterised in terms of occurrence, study period, nature, type, severity, causality and outcomes. The Gini index method was then applied, after excluding AEs that were classified as not drug-related, and distributions of SADRs were quantified according to estimated C max and AUC 0– t cut-off values. Results We classified the occurrence of SADRs in 61 BE studies after calculating Gini index-based pharmacokinetic cut-off values for 42 drugs evaluated in healthy Mexicans. Although more SADRs occurred above C max and/or AUC 0– t cut-off values in most studies, some therapeutic classes (cardiovascular and respiratory systems) were associated with larger numbers of SADRs occurring below split points. Conclusions The present data confirm the safety of BE studies, but indicate the need for further assessments of inter-individual differences according to the incidence of SADRs. The Gini index method represents an easy statistical approach for analysing safety data collected from BE studies and offers a risk management strategy for new generic medicines.</description><subject>Bioequivalence</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Economic statistics</subject><subject>Generic drugs</subject><subject>Laboratories</subject><subject>Original Research Article</subject><subject>Pharmaceutical industry</subject><subject>Pharmaceutical Sciences/Technology</subject><subject>Pharmacology/Toxicology</subject><subject>Pharmacotherapy</subject><subject>Studies</subject><issn>1178-2595</issn><issn>1179-1993</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp1kN1OAjEQhTdGEwnyAN5N4vVqf_anewkElQSDCXLdlO4s1ixdaHcJPITvbAETr7yZmUzO-TJzouiekkdKSP7kE8IKEhOax4SFwq-iHqV5EdOi4NfnWcQsLdLbaOC9WRHGuRBZnvei7xdjDUxtiYd4pDyW8KYOZtNtYNxYjbZ1qjWNBWVLGDpUsAxSB-0nwrhze4TFtjYtvDfGth6qxsHQqvrojV3DsNyj8wiTfeDAXOvOOQxQMBZGpsFdZ_aqPm8WbVca9HfRTaVqj4Pf3o-Wz5OP8Ws8m79Mx8NZrFkm2hgzIuiKalaxqio15yxjXPCK80QJRjEpRVFoldKUVzShWUp0mWcKhaa50uH5fvRw4W5ds-vQt_Kr6Vw43EvGGKEiEawIKnpRadd477CSW2c2yh0lJfIUvLwEL0Pw8hS8PJHZxeOD1q7R_ZH_N_0AmUyGmg</recordid><startdate>20180201</startdate><enddate>20180201</enddate><creator>Torres-García, Blanca L.</creator><creator>Castro-Pastrana, Lucila I.</creator><creator>Rodríguez-Rodríguez, Sara</creator><creator>Estrada-Marín, Larisa</creator><creator>Cedillo-Carvallo, Beatriz</creator><creator>Guzmán-García, Olga</creator><creator>Ruíz-Argüelles, Alejandro</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>4T-</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20180201</creationdate><title>Gini Index-Based Maximum Concentration and Area Under the Curve Split Points for Analysing Adverse Event Occurrence in Bioequivalence Studies</title><author>Torres-García, Blanca L. ; Castro-Pastrana, Lucila I. ; Rodríguez-Rodríguez, Sara ; Estrada-Marín, Larisa ; Cedillo-Carvallo, Beatriz ; Guzmán-García, Olga ; Ruíz-Argüelles, Alejandro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c268t-e6081b1c2f2ffdc33262383f334a821e4d899ca5153f141650cd76ae8c17ac233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Bioequivalence</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Economic statistics</topic><topic>Generic drugs</topic><topic>Laboratories</topic><topic>Original Research Article</topic><topic>Pharmaceutical industry</topic><topic>Pharmaceutical Sciences/Technology</topic><topic>Pharmacology/Toxicology</topic><topic>Pharmacotherapy</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Torres-García, Blanca L.</creatorcontrib><creatorcontrib>Castro-Pastrana, Lucila I.</creatorcontrib><creatorcontrib>Rodríguez-Rodríguez, Sara</creatorcontrib><creatorcontrib>Estrada-Marín, Larisa</creatorcontrib><creatorcontrib>Cedillo-Carvallo, Beatriz</creatorcontrib><creatorcontrib>Guzmán-García, Olga</creatorcontrib><creatorcontrib>Ruíz-Argüelles, Alejandro</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Pharmaceutical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Torres-García, Blanca L.</au><au>Castro-Pastrana, Lucila I.</au><au>Rodríguez-Rodríguez, Sara</au><au>Estrada-Marín, Larisa</au><au>Cedillo-Carvallo, Beatriz</au><au>Guzmán-García, Olga</au><au>Ruíz-Argüelles, Alejandro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gini Index-Based Maximum Concentration and Area Under the Curve Split Points for Analysing Adverse Event Occurrence in Bioequivalence Studies</atitle><jtitle>Pharmaceutical medicine</jtitle><stitle>Pharm Med</stitle><date>2018-02-01</date><risdate>2018</risdate><volume>32</volume><issue>1</issue><spage>51</spage><epage>66</epage><pages>51-66</pages><issn>1178-2595</issn><eissn>1179-1993</eissn><abstract>Background Few publications focus on adverse events (AEs) or suspected adverse drug reactions (SADRs) registered during bioequivalence (BE) studies. Objective The aim was to characterise AEs reported in BE studies at a Mexican investigation site between the years 2011 and 2016, and to estimate occurrence using maximum plasma concentration ( C max ) and area under the plasma concentration curve from administration to last observed concentration at time t (AUC 0– t ) values, with the Gini index method. Methods Reported AEs were recorded from 61 BE studies that were conducted by Laboratorios Clínicos de Puebla de Bioequivalencia, which is a third-party laboratory certified by the Mexican health authorities to conduct BE studies. AEs were then characterised in terms of occurrence, study period, nature, type, severity, causality and outcomes. The Gini index method was then applied, after excluding AEs that were classified as not drug-related, and distributions of SADRs were quantified according to estimated C max and AUC 0– t cut-off values. Results We classified the occurrence of SADRs in 61 BE studies after calculating Gini index-based pharmacokinetic cut-off values for 42 drugs evaluated in healthy Mexicans. Although more SADRs occurred above C max and/or AUC 0– t cut-off values in most studies, some therapeutic classes (cardiovascular and respiratory systems) were associated with larger numbers of SADRs occurring below split points. Conclusions The present data confirm the safety of BE studies, but indicate the need for further assessments of inter-individual differences according to the incidence of SADRs. The Gini index method represents an easy statistical approach for analysing safety data collected from BE studies and offers a risk management strategy for new generic medicines.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40290-017-0217-3</doi><tpages>16</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1178-2595
ispartof Pharmaceutical medicine, 2018-02, Vol.32 (1), p.51-66
issn 1178-2595
1179-1993
language eng
recordid cdi_proquest_journals_2220184829
source SpringerLink Journals - AutoHoldings
subjects Bioequivalence
Biomedical and Life Sciences
Biomedicine
Economic statistics
Generic drugs
Laboratories
Original Research Article
Pharmaceutical industry
Pharmaceutical Sciences/Technology
Pharmacology/Toxicology
Pharmacotherapy
Studies
title Gini Index-Based Maximum Concentration and Area Under the Curve Split Points for Analysing Adverse Event Occurrence in Bioequivalence Studies
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T10%3A52%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Gini%20Index-Based%20Maximum%20Concentration%20and%20Area%20Under%20the%20Curve%20Split%20Points%20for%20Analysing%20Adverse%20Event%20Occurrence%20in%20Bioequivalence%20Studies&rft.jtitle=Pharmaceutical%20medicine&rft.au=Torres-Garc%C3%ADa,%20Blanca%20L.&rft.date=2018-02-01&rft.volume=32&rft.issue=1&rft.spage=51&rft.epage=66&rft.pages=51-66&rft.issn=1178-2595&rft.eissn=1179-1993&rft_id=info:doi/10.1007/s40290-017-0217-3&rft_dat=%3Cproquest_cross%3E2220184829%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2220184829&rft_id=info:pmid/&rfr_iscdi=true