Eintrag weiter verarbeiten
210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices
Gespeichert in:
| Zeitschriftentitel: | Open Forum Infectious Diseases |
|---|---|
| Personen und Körperschaften: | , , , , , |
| In: | Open Forum Infectious Diseases, 7, 2020, Supplement_1, S. S108-S108 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Oxford University Press (OUP)
|
| Schlagwörter: |
| author_facet |
Yamaga, Cynthia Bostick, David L Tabak, Ying P Liu-Ferrara, Ann Morel, Didier Yu, Kalvin Yamaga, Cynthia Bostick, David L Tabak, Ying P Liu-Ferrara, Ann Morel, Didier Yu, Kalvin |
|---|---|
| author |
Yamaga, Cynthia Bostick, David L Tabak, Ying P Liu-Ferrara, Ann Morel, Didier Yu, Kalvin |
| spellingShingle |
Yamaga, Cynthia Bostick, David L Tabak, Ying P Liu-Ferrara, Ann Morel, Didier Yu, Kalvin Open Forum Infectious Diseases 210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices Infectious Diseases Oncology |
| author_sort |
yamaga, cynthia |
| spelling |
Yamaga, Cynthia Bostick, David L Tabak, Ying P Liu-Ferrara, Ann Morel, Didier Yu, Kalvin 2328-8957 Oxford University Press (OUP) Infectious Diseases Oncology http://dx.doi.org/10.1093/ofid/ofaa439.254 <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>Automated infusion devices captures actual infused medication administration data in real-time. Vancomycin use is now recommended to be driven by AUC (area under the curve) dosing. We evaluated automated infusion device data to depict vancomycin administration practices in acute care hospitals.</jats:p> <jats:p>Figure 1. Distribution of vancomycin infusion dosing</jats:p> <jats:p /> <jats:p>Figure 2. Distribution of time intervals between each vancomycin infusion session (mostly around 8 or 12 hours)</jats:p> <jats:p /> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>We analyzed archived vancomycin infusion data from 2,417 patients captured by automated infusion systems from 3 acute care hospitals. The infusion device informatics software recorded a variety of events during infusion – starting and stopping times, alarms and alerts, vancomycin dose, and other forms of timestamped usage information. We evaluated infusion session duration and dosing, using data-driven clustering algorithms.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>A total of 13,339 vancomycin infusion sessions from 2,417 unique adult patients were analyzed. Approximately 26.1% of patients had just one infusion of vancomycin. For the rest of the patients, the median number of infusion sessions per patient was 4; the interquartile range was 3 and 8. The most common dose was 1.0 gram (53.7%) or 1.5 gram (24.6%) (see Figure 1). The distribution of infusion session duration (hours) was 4.2% (≤1.0 hh); 40.1% (1.01–1.5 hh); 29.1% (1.51–2.0 hh); and 26.6% (&gt;2.0 hh). The dosing frequency was 39.5% (q8 hh), 42.9% (q12 hh), 11.1% (q24 hh), and 6.5% (&gt;q24 hh) (Figure 2), demonstrating clinical interpretability.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion</jats:title> <jats:p>A considerable number of patients received just one vancomycin infusion during their hospital stay, suggesting a potential overuse of empiric vancomycin. The majority of infusion doses were between 1 to 1.5 grams and most infusion sessions were administered every 8 or 12 hours. The actual infusion duration for each dose often exceeds the prescribed 1- or 2-hour infusion orders, which may be due to known instances of infusion interruptions due to patient movement, procedures or IV access compromise. The data generated by infusion devices can augment insights on actual antimicrobial administration practices and duration. As vancomycin AUC dosing becomes more prevalent, real world infusion data may aid timely data-driven antimicrobial stewardship and patient safety interventions for vancomycin and other AUC dosed drugs.</jats:p> </jats:sec> <jats:sec> <jats:title>Disclosures</jats:title> <jats:p>Cynthia Yamaga, PharmD, BD (Employee) David L. Bostick, PhD, Becton, Dickinson and Co. (Employee) Ying P. Tabak, PhD, Becton, Dickinson and Co. (Employee) Ann Liu-Ferrara, PhD, Becton, Dickinson and Co. (Employee) Didier Morel, PhD, Becton, Dickinson and Co. (Employee) Kalvin Yu, MD, Becton, Dickinson and Company (Employee)GlaxoSmithKline plc. (Other Financial or Material Support, Funding)</jats:p> </jats:sec> 210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices Open Forum Infectious Diseases |
| doi_str_mv |
10.1093/ofid/ofaa439.254 |
| facet_avail |
Online Free |
| finc_class_facet |
Medizin |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTA5My9vZmlkL29mYWE0MzkuMjU0 |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTA5My9vZmlkL29mYWE0MzkuMjU0 |
| institution |
DE-Gla1 DE-Zi4 DE-15 DE-Rs1 DE-Pl11 DE-105 DE-14 DE-Ch1 DE-L229 DE-D275 DE-Bn3 DE-Brt1 DE-Zwi2 DE-D161 |
| imprint |
Oxford University Press (OUP), 2020 |
| imprint_str_mv |
Oxford University Press (OUP), 2020 |
| issn |
2328-8957 |
| issn_str_mv |
2328-8957 |
| language |
English |
| mega_collection |
Oxford University Press (OUP) (CrossRef) |
| match_str |
yamaga2020210vancomycininfusionfrequencyandintensityanalysisofrealworlddatageneratedfromautomatedinfusiondevices |
| publishDateSort |
2020 |
| publisher |
Oxford University Press (OUP) |
| recordtype |
ai |
| record_format |
ai |
| series |
Open Forum Infectious Diseases |
| source_id |
49 |
| title |
210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices |
| title_unstemmed |
210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices |
| title_full |
210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices |
| title_fullStr |
210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices |
| title_full_unstemmed |
210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices |
| title_short |
210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices |
| title_sort |
210. vancomycin infusion frequency and intensity: analysis of real-world data generated from automated infusion devices |
| topic |
Infectious Diseases Oncology |
| url |
http://dx.doi.org/10.1093/ofid/ofaa439.254 |
| publishDate |
2020 |
| physical |
S108-S108 |
| description |
<jats:title>Abstract</jats:title>
<jats:sec>
<jats:title>Background</jats:title>
<jats:p>Automated infusion devices captures actual infused medication administration data in real-time. Vancomycin use is now recommended to be driven by AUC (area under the curve) dosing. We evaluated automated infusion device data to depict vancomycin administration practices in acute care hospitals.</jats:p>
<jats:p>Figure 1. Distribution of vancomycin infusion dosing</jats:p>
<jats:p />
<jats:p>Figure 2. Distribution of time intervals between each vancomycin infusion session (mostly around 8 or 12 hours)</jats:p>
<jats:p />
</jats:sec>
<jats:sec>
<jats:title>Methods</jats:title>
<jats:p>We analyzed archived vancomycin infusion data from 2,417 patients captured by automated infusion systems from 3 acute care hospitals. The infusion device informatics software recorded a variety of events during infusion – starting and stopping times, alarms and alerts, vancomycin dose, and other forms of timestamped usage information. We evaluated infusion session duration and dosing, using data-driven clustering algorithms.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Results</jats:title>
<jats:p>A total of 13,339 vancomycin infusion sessions from 2,417 unique adult patients were analyzed. Approximately 26.1% of patients had just one infusion of vancomycin. For the rest of the patients, the median number of infusion sessions per patient was 4; the interquartile range was 3 and 8. The most common dose was 1.0 gram (53.7%) or 1.5 gram (24.6%) (see Figure 1). The distribution of infusion session duration (hours) was 4.2% (≤1.0 hh); 40.1% (1.01–1.5 hh); 29.1% (1.51–2.0 hh); and 26.6% (&gt;2.0 hh). The dosing frequency was 39.5% (q8 hh), 42.9% (q12 hh), 11.1% (q24 hh), and 6.5% (&gt;q24 hh) (Figure 2), demonstrating clinical interpretability.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Conclusion</jats:title>
<jats:p>A considerable number of patients received just one vancomycin infusion during their hospital stay, suggesting a potential overuse of empiric vancomycin. The majority of infusion doses were between 1 to 1.5 grams and most infusion sessions were administered every 8 or 12 hours. The actual infusion duration for each dose often exceeds the prescribed 1- or 2-hour infusion orders, which may be due to known instances of infusion interruptions due to patient movement, procedures or IV access compromise. The data generated by infusion devices can augment insights on actual antimicrobial administration practices and duration. As vancomycin AUC dosing becomes more prevalent, real world infusion data may aid timely data-driven antimicrobial stewardship and patient safety interventions for vancomycin and other AUC dosed drugs.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Disclosures</jats:title>
<jats:p>Cynthia Yamaga, PharmD, BD (Employee) David L. Bostick, PhD, Becton, Dickinson and Co. (Employee) Ying P. Tabak, PhD, Becton, Dickinson and Co. (Employee) Ann Liu-Ferrara, PhD, Becton, Dickinson and Co. (Employee) Didier Morel, PhD, Becton, Dickinson and Co. (Employee) Kalvin Yu, MD, Becton, Dickinson and Company (Employee)GlaxoSmithKline plc. (Other Financial or Material Support, Funding)</jats:p>
</jats:sec> |
| container_issue |
Supplement_1 |
| container_start_page |
0 |
| container_title |
Open Forum Infectious Diseases |
| container_volume |
7 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792322953307750418 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T11:25:53.029Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=210.+Vancomycin+Infusion+Frequency+and+Intensity%3A+Analysis+of+Real-World+Data+Generated+from+Automated+Infusion+Devices&rft.date=2020-12-31&genre=article&issn=2328-8957&volume=7&issue=Supplement_1&pages=S108-S108&jtitle=Open+Forum+Infectious+Diseases&atitle=210.+Vancomycin+Infusion+Frequency+and+Intensity%3A+Analysis+of+Real-World+Data+Generated+from+Automated+Infusion+Devices&aulast=Yu&aufirst=Kalvin&rft_id=info%3Adoi%2F10.1093%2Fofid%2Fofaa439.254&rft.language%5B0%5D=eng |
| SOLR | |
| _version_ | 1792322953307750418 |
| author | Yamaga, Cynthia, Bostick, David L, Tabak, Ying P, Liu-Ferrara, Ann, Morel, Didier, Yu, Kalvin |
| author_facet | Yamaga, Cynthia, Bostick, David L, Tabak, Ying P, Liu-Ferrara, Ann, Morel, Didier, Yu, Kalvin, Yamaga, Cynthia, Bostick, David L, Tabak, Ying P, Liu-Ferrara, Ann, Morel, Didier, Yu, Kalvin |
| author_sort | yamaga, cynthia |
| container_issue | Supplement_1 |
| container_start_page | 0 |
| container_title | Open Forum Infectious Diseases |
| container_volume | 7 |
| description | <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>Automated infusion devices captures actual infused medication administration data in real-time. Vancomycin use is now recommended to be driven by AUC (area under the curve) dosing. We evaluated automated infusion device data to depict vancomycin administration practices in acute care hospitals.</jats:p> <jats:p>Figure 1. Distribution of vancomycin infusion dosing</jats:p> <jats:p /> <jats:p>Figure 2. Distribution of time intervals between each vancomycin infusion session (mostly around 8 or 12 hours)</jats:p> <jats:p /> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>We analyzed archived vancomycin infusion data from 2,417 patients captured by automated infusion systems from 3 acute care hospitals. The infusion device informatics software recorded a variety of events during infusion – starting and stopping times, alarms and alerts, vancomycin dose, and other forms of timestamped usage information. We evaluated infusion session duration and dosing, using data-driven clustering algorithms.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>A total of 13,339 vancomycin infusion sessions from 2,417 unique adult patients were analyzed. Approximately 26.1% of patients had just one infusion of vancomycin. For the rest of the patients, the median number of infusion sessions per patient was 4; the interquartile range was 3 and 8. The most common dose was 1.0 gram (53.7%) or 1.5 gram (24.6%) (see Figure 1). The distribution of infusion session duration (hours) was 4.2% (≤1.0 hh); 40.1% (1.01–1.5 hh); 29.1% (1.51–2.0 hh); and 26.6% (&gt;2.0 hh). The dosing frequency was 39.5% (q8 hh), 42.9% (q12 hh), 11.1% (q24 hh), and 6.5% (&gt;q24 hh) (Figure 2), demonstrating clinical interpretability.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion</jats:title> <jats:p>A considerable number of patients received just one vancomycin infusion during their hospital stay, suggesting a potential overuse of empiric vancomycin. The majority of infusion doses were between 1 to 1.5 grams and most infusion sessions were administered every 8 or 12 hours. The actual infusion duration for each dose often exceeds the prescribed 1- or 2-hour infusion orders, which may be due to known instances of infusion interruptions due to patient movement, procedures or IV access compromise. The data generated by infusion devices can augment insights on actual antimicrobial administration practices and duration. As vancomycin AUC dosing becomes more prevalent, real world infusion data may aid timely data-driven antimicrobial stewardship and patient safety interventions for vancomycin and other AUC dosed drugs.</jats:p> </jats:sec> <jats:sec> <jats:title>Disclosures</jats:title> <jats:p>Cynthia Yamaga, PharmD, BD (Employee) David L. Bostick, PhD, Becton, Dickinson and Co. (Employee) Ying P. Tabak, PhD, Becton, Dickinson and Co. (Employee) Ann Liu-Ferrara, PhD, Becton, Dickinson and Co. (Employee) Didier Morel, PhD, Becton, Dickinson and Co. (Employee) Kalvin Yu, MD, Becton, Dickinson and Company (Employee)GlaxoSmithKline plc. (Other Financial or Material Support, Funding)</jats:p> </jats:sec> |
| doi_str_mv | 10.1093/ofid/ofaa439.254 |
| facet_avail | Online, Free |
| finc_class_facet | Medizin |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTA5My9vZmlkL29mYWE0MzkuMjU0 |
| imprint | Oxford University Press (OUP), 2020 |
| imprint_str_mv | Oxford University Press (OUP), 2020 |
| institution | DE-Gla1, DE-Zi4, DE-15, DE-Rs1, DE-Pl11, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161 |
| issn | 2328-8957 |
| issn_str_mv | 2328-8957 |
| language | English |
| last_indexed | 2024-03-01T11:25:53.029Z |
| match_str | yamaga2020210vancomycininfusionfrequencyandintensityanalysisofrealworlddatageneratedfromautomatedinfusiondevices |
| mega_collection | Oxford University Press (OUP) (CrossRef) |
| physical | S108-S108 |
| publishDate | 2020 |
| publishDateSort | 2020 |
| publisher | Oxford University Press (OUP) |
| record_format | ai |
| recordtype | ai |
| series | Open Forum Infectious Diseases |
| source_id | 49 |
| spelling | Yamaga, Cynthia Bostick, David L Tabak, Ying P Liu-Ferrara, Ann Morel, Didier Yu, Kalvin 2328-8957 Oxford University Press (OUP) Infectious Diseases Oncology http://dx.doi.org/10.1093/ofid/ofaa439.254 <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>Automated infusion devices captures actual infused medication administration data in real-time. Vancomycin use is now recommended to be driven by AUC (area under the curve) dosing. We evaluated automated infusion device data to depict vancomycin administration practices in acute care hospitals.</jats:p> <jats:p>Figure 1. Distribution of vancomycin infusion dosing</jats:p> <jats:p /> <jats:p>Figure 2. Distribution of time intervals between each vancomycin infusion session (mostly around 8 or 12 hours)</jats:p> <jats:p /> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>We analyzed archived vancomycin infusion data from 2,417 patients captured by automated infusion systems from 3 acute care hospitals. The infusion device informatics software recorded a variety of events during infusion – starting and stopping times, alarms and alerts, vancomycin dose, and other forms of timestamped usage information. We evaluated infusion session duration and dosing, using data-driven clustering algorithms.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>A total of 13,339 vancomycin infusion sessions from 2,417 unique adult patients were analyzed. Approximately 26.1% of patients had just one infusion of vancomycin. For the rest of the patients, the median number of infusion sessions per patient was 4; the interquartile range was 3 and 8. The most common dose was 1.0 gram (53.7%) or 1.5 gram (24.6%) (see Figure 1). The distribution of infusion session duration (hours) was 4.2% (≤1.0 hh); 40.1% (1.01–1.5 hh); 29.1% (1.51–2.0 hh); and 26.6% (&gt;2.0 hh). The dosing frequency was 39.5% (q8 hh), 42.9% (q12 hh), 11.1% (q24 hh), and 6.5% (&gt;q24 hh) (Figure 2), demonstrating clinical interpretability.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion</jats:title> <jats:p>A considerable number of patients received just one vancomycin infusion during their hospital stay, suggesting a potential overuse of empiric vancomycin. The majority of infusion doses were between 1 to 1.5 grams and most infusion sessions were administered every 8 or 12 hours. The actual infusion duration for each dose often exceeds the prescribed 1- or 2-hour infusion orders, which may be due to known instances of infusion interruptions due to patient movement, procedures or IV access compromise. The data generated by infusion devices can augment insights on actual antimicrobial administration practices and duration. As vancomycin AUC dosing becomes more prevalent, real world infusion data may aid timely data-driven antimicrobial stewardship and patient safety interventions for vancomycin and other AUC dosed drugs.</jats:p> </jats:sec> <jats:sec> <jats:title>Disclosures</jats:title> <jats:p>Cynthia Yamaga, PharmD, BD (Employee) David L. Bostick, PhD, Becton, Dickinson and Co. (Employee) Ying P. Tabak, PhD, Becton, Dickinson and Co. (Employee) Ann Liu-Ferrara, PhD, Becton, Dickinson and Co. (Employee) Didier Morel, PhD, Becton, Dickinson and Co. (Employee) Kalvin Yu, MD, Becton, Dickinson and Company (Employee)GlaxoSmithKline plc. (Other Financial or Material Support, Funding)</jats:p> </jats:sec> 210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices Open Forum Infectious Diseases |
| spellingShingle | Yamaga, Cynthia, Bostick, David L, Tabak, Ying P, Liu-Ferrara, Ann, Morel, Didier, Yu, Kalvin, Open Forum Infectious Diseases, 210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices, Infectious Diseases, Oncology |
| title | 210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices |
| title_full | 210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices |
| title_fullStr | 210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices |
| title_full_unstemmed | 210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices |
| title_short | 210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices |
| title_sort | 210. vancomycin infusion frequency and intensity: analysis of real-world data generated from automated infusion devices |
| title_unstemmed | 210. Vancomycin Infusion Frequency and Intensity: Analysis of Real-World Data Generated from Automated Infusion Devices |
| topic | Infectious Diseases, Oncology |
| url | http://dx.doi.org/10.1093/ofid/ofaa439.254 |