Assessment of an online calculator’s vancomycin dosing and exposure appropriateness in persons who inject drugs with methicillin‐resistant Staphylococcus aureus bloodstream infections

What is known and objective While the gold standard for calculating AUC involves two steady‐state concentrations, online calculators can empirically estimate AUC and other pharmacokinetic (PK) parameters. In patients with potentially altered PK, such as persons who inject drugs (PWID), the reliabili...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of clinical pharmacy and therapeutics 2022-06, Vol.47 (6), p.752-758
Hauptverfasser: Opitz, Brandon J., Housman, Seth T., Housman, Erica L., Lorenzo, Michael P.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 758
container_issue 6
container_start_page 752
container_title Journal of clinical pharmacy and therapeutics
container_volume 47
creator Opitz, Brandon J.
Housman, Seth T.
Housman, Erica L.
Lorenzo, Michael P.
description What is known and objective While the gold standard for calculating AUC involves two steady‐state concentrations, online calculators can empirically estimate AUC and other pharmacokinetic (PK) parameters. In patients with potentially altered PK, such as persons who inject drugs (PWID), the reliability of these predictions is unclear. Our objectives were to characterize the PK of vancomycin in PWID with methicillin‐resistant Staphylococcus aureus (MRSA) bloodstream infections (BSI) and to assess the impact of these PK parameters on dosing regimens when compared to regimens generated by an online calculator. Methods This descriptive pilot study included a retrospective chart review of 48 inpatient PWID with MRSA BSI from 30 April 2018 through 31 August 2020. Demographic and clinical data along with vancomycin dosing and serum concentrations were collected. Patient‐specific PK parameters were used to calculate the AUC of each empiric regimen compared with the originally predicted AUC. Results and discussion The study population had a median volume of distribution of 0.74 L/kg, clearance of 0.081 L/kg/h, elimination rate constant of 0.110/h and half‐life of 6.3 h. The online calculator empirically predicted 6 subtherapeutic and 42 appropriate AUC values with its recommended empiric dosing regimens. Using the actual patient‐specific PK parameters, the empiric vancomycin regimens actually resulted in 21 (43.75%) underexposures, 24 (50%) appropriate exposures and 3 (6.25%) overexposures. What is new and conclusions In PWID, empiric vancomycin dosing strategies suggested by an online calculator frequently resulted in lower‐than‐predicted vancomycin exposures. These findings suggest that PWID with MRSA BSI may require higher and/or more frequent vancomycin doses than those empirically recommended by the population‐based methods of an online calculator. This study population had a median volume of distribution of 0.74 L/kg, clearance of 0.081 L/kg/h, elimination rate constant of 0.110/h and half‐life of 6.3 h, which led to 43.75% of empiric vancomycin regimens resulting in underexposures. These findings suggest that this patient population may require higher and/or more frequent vancomycin doses than those empirically recommended by the population‐based methods of an online calculator.
doi_str_mv 10.1111/jcpt.13603
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2616610418</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2616610418</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3933-3cd61ace90f464b0602a3bcfef62e74437ed07ab680db1a75529361b82eb2f103</originalsourceid><addsrcrecordid>eNp9kc1u1DAQxyMEokvhwgMgS1wQUoo_EmdzrFZ8qhJIlHPkOJOuV44dPE7L3voIXHkW3qZPwpQtHDhgH0a2fvrN2P-ieCr4iaD1amfnfCKU5upesaJal7IR_H6x4lK3ZdXI5qh4hLjjnOtGqofFkaratairelX8PEUExAlCZnFkJrAYvAvArPF28SbHdHP9A9mlCTZOe-sCGyK6cEHowODbHHFJwMw8pzgnZzIE0jHCZkgYA7KrbaTjDmxmQ1ou6MLlLZsgb511nnrdXH9PgA6zoRk-ZzNv9z7aaO2CzJCcSu9jHDAnMBO5RnI5Uj8uHozGIzy5q8fFlzevzzfvyrOPb99vTs9Kq1qlSmUHLYyFlo-VrnquuTSqtyOMWkJTVaqBgTem12s-9MI0dS1bpUW_ltDLUXB1XLw4eOmNXxfA3E0OLXhvAsQFO6mF1oJXYk3o83_QXVxSoOmIamgLXQmiXh4omyJigrGjr5tM2neCd7eRdreRdr8jJfjZnXLpJxj-on8yJEAcgCvnYf8fVfdh8-n8IP0FPxC0Bw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2676761641</pqid></control><display><type>article</type><title>Assessment of an online calculator’s vancomycin dosing and exposure appropriateness in persons who inject drugs with methicillin‐resistant Staphylococcus aureus bloodstream infections</title><source>Access via Wiley Online Library</source><creator>Opitz, Brandon J. ; Housman, Seth T. ; Housman, Erica L. ; Lorenzo, Michael P.</creator><creatorcontrib>Opitz, Brandon J. ; Housman, Seth T. ; Housman, Erica L. ; Lorenzo, Michael P.</creatorcontrib><description>What is known and objective While the gold standard for calculating AUC involves two steady‐state concentrations, online calculators can empirically estimate AUC and other pharmacokinetic (PK) parameters. In patients with potentially altered PK, such as persons who inject drugs (PWID), the reliability of these predictions is unclear. Our objectives were to characterize the PK of vancomycin in PWID with methicillin‐resistant Staphylococcus aureus (MRSA) bloodstream infections (BSI) and to assess the impact of these PK parameters on dosing regimens when compared to regimens generated by an online calculator. Methods This descriptive pilot study included a retrospective chart review of 48 inpatient PWID with MRSA BSI from 30 April 2018 through 31 August 2020. Demographic and clinical data along with vancomycin dosing and serum concentrations were collected. Patient‐specific PK parameters were used to calculate the AUC of each empiric regimen compared with the originally predicted AUC. Results and discussion The study population had a median volume of distribution of 0.74 L/kg, clearance of 0.081 L/kg/h, elimination rate constant of 0.110/h and half‐life of 6.3 h. The online calculator empirically predicted 6 subtherapeutic and 42 appropriate AUC values with its recommended empiric dosing regimens. Using the actual patient‐specific PK parameters, the empiric vancomycin regimens actually resulted in 21 (43.75%) underexposures, 24 (50%) appropriate exposures and 3 (6.25%) overexposures. What is new and conclusions In PWID, empiric vancomycin dosing strategies suggested by an online calculator frequently resulted in lower‐than‐predicted vancomycin exposures. These findings suggest that PWID with MRSA BSI may require higher and/or more frequent vancomycin doses than those empirically recommended by the population‐based methods of an online calculator. This study population had a median volume of distribution of 0.74 L/kg, clearance of 0.081 L/kg/h, elimination rate constant of 0.110/h and half‐life of 6.3 h, which led to 43.75% of empiric vancomycin regimens resulting in underexposures. These findings suggest that this patient population may require higher and/or more frequent vancomycin doses than those empirically recommended by the population‐based methods of an online calculator.</description><identifier>ISSN: 0269-4727</identifier><identifier>EISSN: 1365-2710</identifier><identifier>DOI: 10.1111/jcpt.13603</identifier><identifier>PMID: 34981545</identifier><language>eng</language><publisher>England: Hindawi Limited</publisher><subject>Antibiotics ; area under the curve (AUC) ; bloodstream infection ; Dosage ; Drug dosages ; Drug resistance ; Internet ; Methicillin ; MRSA ; Patients ; Pharmacokinetics ; Population studies ; Staphylococcus aureus ; Staphylococcus infections ; Vancomycin</subject><ispartof>Journal of clinical pharmacy and therapeutics, 2022-06, Vol.47 (6), p.752-758</ispartof><rights>2022 John Wiley &amp; Sons Ltd</rights><rights>2022 John Wiley &amp; Sons Ltd.</rights><rights>Copyright © 2022 John Wiley &amp; Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3933-3cd61ace90f464b0602a3bcfef62e74437ed07ab680db1a75529361b82eb2f103</citedby><cites>FETCH-LOGICAL-c3933-3cd61ace90f464b0602a3bcfef62e74437ed07ab680db1a75529361b82eb2f103</cites><orcidid>0000-0001-7508-514X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjcpt.13603$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjcpt.13603$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34981545$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Opitz, Brandon J.</creatorcontrib><creatorcontrib>Housman, Seth T.</creatorcontrib><creatorcontrib>Housman, Erica L.</creatorcontrib><creatorcontrib>Lorenzo, Michael P.</creatorcontrib><title>Assessment of an online calculator’s vancomycin dosing and exposure appropriateness in persons who inject drugs with methicillin‐resistant Staphylococcus aureus bloodstream infections</title><title>Journal of clinical pharmacy and therapeutics</title><addtitle>J Clin Pharm Ther</addtitle><description>What is known and objective While the gold standard for calculating AUC involves two steady‐state concentrations, online calculators can empirically estimate AUC and other pharmacokinetic (PK) parameters. In patients with potentially altered PK, such as persons who inject drugs (PWID), the reliability of these predictions is unclear. Our objectives were to characterize the PK of vancomycin in PWID with methicillin‐resistant Staphylococcus aureus (MRSA) bloodstream infections (BSI) and to assess the impact of these PK parameters on dosing regimens when compared to regimens generated by an online calculator. Methods This descriptive pilot study included a retrospective chart review of 48 inpatient PWID with MRSA BSI from 30 April 2018 through 31 August 2020. Demographic and clinical data along with vancomycin dosing and serum concentrations were collected. Patient‐specific PK parameters were used to calculate the AUC of each empiric regimen compared with the originally predicted AUC. Results and discussion The study population had a median volume of distribution of 0.74 L/kg, clearance of 0.081 L/kg/h, elimination rate constant of 0.110/h and half‐life of 6.3 h. The online calculator empirically predicted 6 subtherapeutic and 42 appropriate AUC values with its recommended empiric dosing regimens. Using the actual patient‐specific PK parameters, the empiric vancomycin regimens actually resulted in 21 (43.75%) underexposures, 24 (50%) appropriate exposures and 3 (6.25%) overexposures. What is new and conclusions In PWID, empiric vancomycin dosing strategies suggested by an online calculator frequently resulted in lower‐than‐predicted vancomycin exposures. These findings suggest that PWID with MRSA BSI may require higher and/or more frequent vancomycin doses than those empirically recommended by the population‐based methods of an online calculator. This study population had a median volume of distribution of 0.74 L/kg, clearance of 0.081 L/kg/h, elimination rate constant of 0.110/h and half‐life of 6.3 h, which led to 43.75% of empiric vancomycin regimens resulting in underexposures. These findings suggest that this patient population may require higher and/or more frequent vancomycin doses than those empirically recommended by the population‐based methods of an online calculator.</description><subject>Antibiotics</subject><subject>area under the curve (AUC)</subject><subject>bloodstream infection</subject><subject>Dosage</subject><subject>Drug dosages</subject><subject>Drug resistance</subject><subject>Internet</subject><subject>Methicillin</subject><subject>MRSA</subject><subject>Patients</subject><subject>Pharmacokinetics</subject><subject>Population studies</subject><subject>Staphylococcus aureus</subject><subject>Staphylococcus infections</subject><subject>Vancomycin</subject><issn>0269-4727</issn><issn>1365-2710</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kc1u1DAQxyMEokvhwgMgS1wQUoo_EmdzrFZ8qhJIlHPkOJOuV44dPE7L3voIXHkW3qZPwpQtHDhgH0a2fvrN2P-ieCr4iaD1amfnfCKU5upesaJal7IR_H6x4lK3ZdXI5qh4hLjjnOtGqofFkaratairelX8PEUExAlCZnFkJrAYvAvArPF28SbHdHP9A9mlCTZOe-sCGyK6cEHowODbHHFJwMw8pzgnZzIE0jHCZkgYA7KrbaTjDmxmQ1ou6MLlLZsgb511nnrdXH9PgA6zoRk-ZzNv9z7aaO2CzJCcSu9jHDAnMBO5RnI5Uj8uHozGIzy5q8fFlzevzzfvyrOPb99vTs9Kq1qlSmUHLYyFlo-VrnquuTSqtyOMWkJTVaqBgTem12s-9MI0dS1bpUW_ltDLUXB1XLw4eOmNXxfA3E0OLXhvAsQFO6mF1oJXYk3o83_QXVxSoOmIamgLXQmiXh4omyJigrGjr5tM2neCd7eRdreRdr8jJfjZnXLpJxj-on8yJEAcgCvnYf8fVfdh8-n8IP0FPxC0Bw</recordid><startdate>202206</startdate><enddate>202206</enddate><creator>Opitz, Brandon J.</creator><creator>Housman, Seth T.</creator><creator>Housman, Erica L.</creator><creator>Lorenzo, Michael P.</creator><general>Hindawi Limited</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7TM</scope><scope>7TO</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7508-514X</orcidid></search><sort><creationdate>202206</creationdate><title>Assessment of an online calculator’s vancomycin dosing and exposure appropriateness in persons who inject drugs with methicillin‐resistant Staphylococcus aureus bloodstream infections</title><author>Opitz, Brandon J. ; Housman, Seth T. ; Housman, Erica L. ; Lorenzo, Michael P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3933-3cd61ace90f464b0602a3bcfef62e74437ed07ab680db1a75529361b82eb2f103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Antibiotics</topic><topic>area under the curve (AUC)</topic><topic>bloodstream infection</topic><topic>Dosage</topic><topic>Drug dosages</topic><topic>Drug resistance</topic><topic>Internet</topic><topic>Methicillin</topic><topic>MRSA</topic><topic>Patients</topic><topic>Pharmacokinetics</topic><topic>Population studies</topic><topic>Staphylococcus aureus</topic><topic>Staphylococcus infections</topic><topic>Vancomycin</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Opitz, Brandon J.</creatorcontrib><creatorcontrib>Housman, Seth T.</creatorcontrib><creatorcontrib>Housman, Erica L.</creatorcontrib><creatorcontrib>Lorenzo, Michael P.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical pharmacy and therapeutics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Opitz, Brandon J.</au><au>Housman, Seth T.</au><au>Housman, Erica L.</au><au>Lorenzo, Michael P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of an online calculator’s vancomycin dosing and exposure appropriateness in persons who inject drugs with methicillin‐resistant Staphylococcus aureus bloodstream infections</atitle><jtitle>Journal of clinical pharmacy and therapeutics</jtitle><addtitle>J Clin Pharm Ther</addtitle><date>2022-06</date><risdate>2022</risdate><volume>47</volume><issue>6</issue><spage>752</spage><epage>758</epage><pages>752-758</pages><issn>0269-4727</issn><eissn>1365-2710</eissn><abstract>What is known and objective While the gold standard for calculating AUC involves two steady‐state concentrations, online calculators can empirically estimate AUC and other pharmacokinetic (PK) parameters. In patients with potentially altered PK, such as persons who inject drugs (PWID), the reliability of these predictions is unclear. Our objectives were to characterize the PK of vancomycin in PWID with methicillin‐resistant Staphylococcus aureus (MRSA) bloodstream infections (BSI) and to assess the impact of these PK parameters on dosing regimens when compared to regimens generated by an online calculator. Methods This descriptive pilot study included a retrospective chart review of 48 inpatient PWID with MRSA BSI from 30 April 2018 through 31 August 2020. Demographic and clinical data along with vancomycin dosing and serum concentrations were collected. Patient‐specific PK parameters were used to calculate the AUC of each empiric regimen compared with the originally predicted AUC. Results and discussion The study population had a median volume of distribution of 0.74 L/kg, clearance of 0.081 L/kg/h, elimination rate constant of 0.110/h and half‐life of 6.3 h. The online calculator empirically predicted 6 subtherapeutic and 42 appropriate AUC values with its recommended empiric dosing regimens. Using the actual patient‐specific PK parameters, the empiric vancomycin regimens actually resulted in 21 (43.75%) underexposures, 24 (50%) appropriate exposures and 3 (6.25%) overexposures. What is new and conclusions In PWID, empiric vancomycin dosing strategies suggested by an online calculator frequently resulted in lower‐than‐predicted vancomycin exposures. These findings suggest that PWID with MRSA BSI may require higher and/or more frequent vancomycin doses than those empirically recommended by the population‐based methods of an online calculator. This study population had a median volume of distribution of 0.74 L/kg, clearance of 0.081 L/kg/h, elimination rate constant of 0.110/h and half‐life of 6.3 h, which led to 43.75% of empiric vancomycin regimens resulting in underexposures. These findings suggest that this patient population may require higher and/or more frequent vancomycin doses than those empirically recommended by the population‐based methods of an online calculator.</abstract><cop>England</cop><pub>Hindawi Limited</pub><pmid>34981545</pmid><doi>10.1111/jcpt.13603</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-7508-514X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0269-4727
ispartof Journal of clinical pharmacy and therapeutics, 2022-06, Vol.47 (6), p.752-758
issn 0269-4727
1365-2710
language eng
recordid cdi_proquest_miscellaneous_2616610418
source Access via Wiley Online Library
subjects Antibiotics
area under the curve (AUC)
bloodstream infection
Dosage
Drug dosages
Drug resistance
Internet
Methicillin
MRSA
Patients
Pharmacokinetics
Population studies
Staphylococcus aureus
Staphylococcus infections
Vancomycin
title Assessment of an online calculator’s vancomycin dosing and exposure appropriateness in persons who inject drugs with methicillin‐resistant Staphylococcus aureus bloodstream infections
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T07%3A52%3A18IST&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=Assessment%20of%20an%20online%20calculator%E2%80%99s%20vancomycin%20dosing%20and%20exposure%20appropriateness%20in%20persons%20who%20inject%20drugs%20with%20methicillin%E2%80%90resistant%20Staphylococcus%20aureus%20bloodstream%20infections&rft.jtitle=Journal%20of%20clinical%20pharmacy%20and%20therapeutics&rft.au=Opitz,%20Brandon%20J.&rft.date=2022-06&rft.volume=47&rft.issue=6&rft.spage=752&rft.epage=758&rft.pages=752-758&rft.issn=0269-4727&rft.eissn=1365-2710&rft_id=info:doi/10.1111/jcpt.13603&rft_dat=%3Cproquest_cross%3E2616610418%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=2676761641&rft_id=info:pmid/34981545&rfr_iscdi=true