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2425. Correlating Use of High-Risk Antimicrobials and the Incidence of Hospital-Onset Clostridium difficile Infection: Targeting Prescribing Trends for Antimicrobial Stewardship
BACKGROUND: Hospital-onset Clostridium difficile infection (HO-CDI) has a significant morbidity and mortality risk. It also poses increasing financial strain on the healthcare system. Certain antibiotics have been associated with increased HO-CDI incidence and novel strategies are needed to determin...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810352/ http://dx.doi.org/10.1093/ofid/ofz360.2103 |
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author | Thottacherry, Elizabeth Whitfield, Philip L Steuber, Taylor D Li, Chao Sawyer, Adam J Edwards, Jonathan Hassoun, Ali |
author_facet | Thottacherry, Elizabeth Whitfield, Philip L Steuber, Taylor D Li, Chao Sawyer, Adam J Edwards, Jonathan Hassoun, Ali |
author_sort | Thottacherry, Elizabeth |
collection | PubMed |
description | BACKGROUND: Hospital-onset Clostridium difficile infection (HO-CDI) has a significant morbidity and mortality risk. It also poses increasing financial strain on the healthcare system. Certain antibiotics have been associated with increased HO-CDI incidence and novel strategies are needed to determine what modifiable risk factors exist. Choices of antibiotic have changed overtime time to overcome potential side effects, leading to a possibility that changed prescribing trends could be linked to significant differences in the rate of HO-CDI. METHODS: This study took place at a 971-bed community hospital from January 2016 to January 2018. Monthly utilization (grams) of 11 antimicrobials considered high risk of HO-CDI was collected, along with monthly HO-CDI rate. Antimicrobials included cephalosporins, carbapenems, fluoroquinolones and clindamycin. Correlational (Pearson’s) and logistic regression analyses were completed to identify association with HO-CDI. A P-value of < 0.05 was considered statistically significant. RESULTS: 215 cases of HO-CDI were identified during the study period with 30 being classified as severe. The average HO-CDI rate was 4.3 cases/1000 patient-days. There were no significant correlations identified for any antimicrobials and HO-CDI rate (p> 0.05 for all interactions). Pearson’s correlation coefficients were not significant for any antimicrobial. The multivariable logistic regression model including all antimicrobials, indicated that only ceftazidime had a statistically significant positive effect on the HO-CDI rate. Bearing in mind that only a small number of ceftazidime was prescribed, additional univariate analysis was performed indicating that there was no significant linear association between the HO-CDI rate and ceftazidime utilization (P = 0.3527). CONCLUSION: Our study shows that there is no significant correlation between specific antimicrobial use and HO-CDI rates, even though there has been a general increase in HO-CDI rates. Additional analysis involving control groups of antibiotic use in patients without HO-CDI as well as incidence of HO-CDI in patients without antibiotic use at all is required to further assess possible modifiable risk factors in the inpatient population. [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6810352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68103522019-10-28 2425. Correlating Use of High-Risk Antimicrobials and the Incidence of Hospital-Onset Clostridium difficile Infection: Targeting Prescribing Trends for Antimicrobial Stewardship Thottacherry, Elizabeth Whitfield, Philip L Steuber, Taylor D Li, Chao Sawyer, Adam J Edwards, Jonathan Hassoun, Ali Open Forum Infect Dis Abstracts BACKGROUND: Hospital-onset Clostridium difficile infection (HO-CDI) has a significant morbidity and mortality risk. It also poses increasing financial strain on the healthcare system. Certain antibiotics have been associated with increased HO-CDI incidence and novel strategies are needed to determine what modifiable risk factors exist. Choices of antibiotic have changed overtime time to overcome potential side effects, leading to a possibility that changed prescribing trends could be linked to significant differences in the rate of HO-CDI. METHODS: This study took place at a 971-bed community hospital from January 2016 to January 2018. Monthly utilization (grams) of 11 antimicrobials considered high risk of HO-CDI was collected, along with monthly HO-CDI rate. Antimicrobials included cephalosporins, carbapenems, fluoroquinolones and clindamycin. Correlational (Pearson’s) and logistic regression analyses were completed to identify association with HO-CDI. A P-value of < 0.05 was considered statistically significant. RESULTS: 215 cases of HO-CDI were identified during the study period with 30 being classified as severe. The average HO-CDI rate was 4.3 cases/1000 patient-days. There were no significant correlations identified for any antimicrobials and HO-CDI rate (p> 0.05 for all interactions). Pearson’s correlation coefficients were not significant for any antimicrobial. The multivariable logistic regression model including all antimicrobials, indicated that only ceftazidime had a statistically significant positive effect on the HO-CDI rate. Bearing in mind that only a small number of ceftazidime was prescribed, additional univariate analysis was performed indicating that there was no significant linear association between the HO-CDI rate and ceftazidime utilization (P = 0.3527). CONCLUSION: Our study shows that there is no significant correlation between specific antimicrobial use and HO-CDI rates, even though there has been a general increase in HO-CDI rates. Additional analysis involving control groups of antibiotic use in patients without HO-CDI as well as incidence of HO-CDI in patients without antibiotic use at all is required to further assess possible modifiable risk factors in the inpatient population. [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6810352/ http://dx.doi.org/10.1093/ofid/ofz360.2103 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Thottacherry, Elizabeth Whitfield, Philip L Steuber, Taylor D Li, Chao Sawyer, Adam J Edwards, Jonathan Hassoun, Ali 2425. Correlating Use of High-Risk Antimicrobials and the Incidence of Hospital-Onset Clostridium difficile Infection: Targeting Prescribing Trends for Antimicrobial Stewardship |
title | 2425. Correlating Use of High-Risk Antimicrobials and the Incidence of Hospital-Onset Clostridium difficile Infection: Targeting Prescribing Trends for Antimicrobial Stewardship |
title_full | 2425. Correlating Use of High-Risk Antimicrobials and the Incidence of Hospital-Onset Clostridium difficile Infection: Targeting Prescribing Trends for Antimicrobial Stewardship |
title_fullStr | 2425. Correlating Use of High-Risk Antimicrobials and the Incidence of Hospital-Onset Clostridium difficile Infection: Targeting Prescribing Trends for Antimicrobial Stewardship |
title_full_unstemmed | 2425. Correlating Use of High-Risk Antimicrobials and the Incidence of Hospital-Onset Clostridium difficile Infection: Targeting Prescribing Trends for Antimicrobial Stewardship |
title_short | 2425. Correlating Use of High-Risk Antimicrobials and the Incidence of Hospital-Onset Clostridium difficile Infection: Targeting Prescribing Trends for Antimicrobial Stewardship |
title_sort | 2425. correlating use of high-risk antimicrobials and the incidence of hospital-onset clostridium difficile infection: targeting prescribing trends for antimicrobial stewardship |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810352/ http://dx.doi.org/10.1093/ofid/ofz360.2103 |
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