Cargando…
794. Healthcare-Associated Urinary Tract Infection (HA-UTI): A Risk Factor for Clostridioides difficile Infection (CDI)? Results of a Real-World Data Analysis
BACKGROUND: It is estimated that 223,900 cases of CDI occur annually in hospitalized patients resulting in 12,800 deaths and $1 billion in attributable costs. Antimicrobial use is a risk factor for CDI and the antimicrobials ordered to treat urinary tract infections have been identified as a factor...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777406/ http://dx.doi.org/10.1093/ofid/ofaa439.984 |
_version_ | 1783630894647476224 |
---|---|
author | Kelly, Timothy Kelly, Timothy Ai, ChinEn Ai, ChinEn Murray, John Murray, John Xiong, Yan Xiong, Yan Jokinen-Gordon, Hanna Jokinen-Gordon, Hanna |
author_facet | Kelly, Timothy Kelly, Timothy Ai, ChinEn Ai, ChinEn Murray, John Murray, John Xiong, Yan Xiong, Yan Jokinen-Gordon, Hanna Jokinen-Gordon, Hanna |
author_sort | Kelly, Timothy |
collection | PubMed |
description | BACKGROUND: It is estimated that 223,900 cases of CDI occur annually in hospitalized patients resulting in 12,800 deaths and $1 billion in attributable costs. Antimicrobial use is a risk factor for CDI and the antimicrobials ordered to treat urinary tract infections have been identified as a factor in both recurrent CDI and community-acquired CDI. This real-world data analysis seeks to explore the relationship between HA-UTI and hospital-onset CDI (HO-CDI). METHODS: An electronic infection surveillance system was the source of de-identified real-world data from 290 hospitals. Algorithmically-derived measures of healthcare-associated infections (ADM-HAIs), and records of all-cause antimicrobial orders, for all inpatient admissions for the period 10/1/18–9/30/19 were analyzed. All patients who presented with a urine ADM-HAI – suggestive of HA-UTI – and no other healthcare-associated infection (Urine+ patients), were observed for subsequent HO-CDI. Urine+ patients were compared to patients with no HAI of any type, other than CDI (HAI-free patients), and relative risk (RR) was estimated. The analysis was repeated for the subgroup of patients who received an antimicrobial order for any reason during their stay. RESULTS: 3,050,525 inpatient admissions were analyzed. 26,634 were identified as Urine+ patients. 188 of those patients subsequently presented with HO-CDI. 2,978,507 were identified as HAI-free patients. 6,238 of those patients presented with HO-CDI. The incidence of HO-CDI was significantly higher in Urine+ patients compared to HAI-free patients (RR=3.37, 95% CL[2.92, 3.89], p< 0.0001). When the analysis was repeated to examine only patients who received antimicrobial orders, Urine+ patients continued to be at higher risk of subsequent HO-CDI compared to HAI-free patients (RR=3.28, 95% CL[2.74,3.92], p< 0.0001). CONCLUSION: The presence of a urine ADM-HAI, suggestive of HA-UTI, was associated with an increased risk of subsequent HO-CDI. This held when only patients with antimicrobial orders were considered. These observations mirror findings from other published studies, however, other factors may have contributed to increased risk for both HA-UTI and HO-CDI. DISCLOSURES: Timothy Kelly, MS, MBA, BD (Employee) ChinEn Ai, MPH, BD (Employee) John Murray, MPH, BD (Employee) Yan Xiong, n/a, BD (Becton Dickinson) (Employee) Hanna Jokinen-Gordon, PhD, BD (Employee) |
format | Online Article Text |
id | pubmed-7777406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77774062021-01-07 794. Healthcare-Associated Urinary Tract Infection (HA-UTI): A Risk Factor for Clostridioides difficile Infection (CDI)? Results of a Real-World Data Analysis Kelly, Timothy Kelly, Timothy Ai, ChinEn Ai, ChinEn Murray, John Murray, John Xiong, Yan Xiong, Yan Jokinen-Gordon, Hanna Jokinen-Gordon, Hanna Open Forum Infect Dis Poster Abstracts BACKGROUND: It is estimated that 223,900 cases of CDI occur annually in hospitalized patients resulting in 12,800 deaths and $1 billion in attributable costs. Antimicrobial use is a risk factor for CDI and the antimicrobials ordered to treat urinary tract infections have been identified as a factor in both recurrent CDI and community-acquired CDI. This real-world data analysis seeks to explore the relationship between HA-UTI and hospital-onset CDI (HO-CDI). METHODS: An electronic infection surveillance system was the source of de-identified real-world data from 290 hospitals. Algorithmically-derived measures of healthcare-associated infections (ADM-HAIs), and records of all-cause antimicrobial orders, for all inpatient admissions for the period 10/1/18–9/30/19 were analyzed. All patients who presented with a urine ADM-HAI – suggestive of HA-UTI – and no other healthcare-associated infection (Urine+ patients), were observed for subsequent HO-CDI. Urine+ patients were compared to patients with no HAI of any type, other than CDI (HAI-free patients), and relative risk (RR) was estimated. The analysis was repeated for the subgroup of patients who received an antimicrobial order for any reason during their stay. RESULTS: 3,050,525 inpatient admissions were analyzed. 26,634 were identified as Urine+ patients. 188 of those patients subsequently presented with HO-CDI. 2,978,507 were identified as HAI-free patients. 6,238 of those patients presented with HO-CDI. The incidence of HO-CDI was significantly higher in Urine+ patients compared to HAI-free patients (RR=3.37, 95% CL[2.92, 3.89], p< 0.0001). When the analysis was repeated to examine only patients who received antimicrobial orders, Urine+ patients continued to be at higher risk of subsequent HO-CDI compared to HAI-free patients (RR=3.28, 95% CL[2.74,3.92], p< 0.0001). CONCLUSION: The presence of a urine ADM-HAI, suggestive of HA-UTI, was associated with an increased risk of subsequent HO-CDI. This held when only patients with antimicrobial orders were considered. These observations mirror findings from other published studies, however, other factors may have contributed to increased risk for both HA-UTI and HO-CDI. DISCLOSURES: Timothy Kelly, MS, MBA, BD (Employee) ChinEn Ai, MPH, BD (Employee) John Murray, MPH, BD (Employee) Yan Xiong, n/a, BD (Becton Dickinson) (Employee) Hanna Jokinen-Gordon, PhD, BD (Employee) Oxford University Press 2020-12-31 /pmc/articles/PMC7777406/ http://dx.doi.org/10.1093/ofid/ofaa439.984 Text en © The Author 2020. 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 | Poster Abstracts Kelly, Timothy Kelly, Timothy Ai, ChinEn Ai, ChinEn Murray, John Murray, John Xiong, Yan Xiong, Yan Jokinen-Gordon, Hanna Jokinen-Gordon, Hanna 794. Healthcare-Associated Urinary Tract Infection (HA-UTI): A Risk Factor for Clostridioides difficile Infection (CDI)? Results of a Real-World Data Analysis |
title | 794. Healthcare-Associated Urinary Tract Infection (HA-UTI): A Risk Factor for Clostridioides difficile Infection (CDI)? Results of a Real-World Data Analysis |
title_full | 794. Healthcare-Associated Urinary Tract Infection (HA-UTI): A Risk Factor for Clostridioides difficile Infection (CDI)? Results of a Real-World Data Analysis |
title_fullStr | 794. Healthcare-Associated Urinary Tract Infection (HA-UTI): A Risk Factor for Clostridioides difficile Infection (CDI)? Results of a Real-World Data Analysis |
title_full_unstemmed | 794. Healthcare-Associated Urinary Tract Infection (HA-UTI): A Risk Factor for Clostridioides difficile Infection (CDI)? Results of a Real-World Data Analysis |
title_short | 794. Healthcare-Associated Urinary Tract Infection (HA-UTI): A Risk Factor for Clostridioides difficile Infection (CDI)? Results of a Real-World Data Analysis |
title_sort | 794. healthcare-associated urinary tract infection (ha-uti): a risk factor for clostridioides difficile infection (cdi)? results of a real-world data analysis |
topic | Poster Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777406/ http://dx.doi.org/10.1093/ofid/ofaa439.984 |
work_keys_str_mv | AT kellytimothy 794healthcareassociatedurinarytractinfectionhautiariskfactorforclostridioidesdifficileinfectioncdiresultsofarealworlddataanalysis AT kellytimothy 794healthcareassociatedurinarytractinfectionhautiariskfactorforclostridioidesdifficileinfectioncdiresultsofarealworlddataanalysis AT aichinen 794healthcareassociatedurinarytractinfectionhautiariskfactorforclostridioidesdifficileinfectioncdiresultsofarealworlddataanalysis AT aichinen 794healthcareassociatedurinarytractinfectionhautiariskfactorforclostridioidesdifficileinfectioncdiresultsofarealworlddataanalysis AT murrayjohn 794healthcareassociatedurinarytractinfectionhautiariskfactorforclostridioidesdifficileinfectioncdiresultsofarealworlddataanalysis AT murrayjohn 794healthcareassociatedurinarytractinfectionhautiariskfactorforclostridioidesdifficileinfectioncdiresultsofarealworlddataanalysis AT xiongyan 794healthcareassociatedurinarytractinfectionhautiariskfactorforclostridioidesdifficileinfectioncdiresultsofarealworlddataanalysis AT xiongyan 794healthcareassociatedurinarytractinfectionhautiariskfactorforclostridioidesdifficileinfectioncdiresultsofarealworlddataanalysis AT jokinengordonhanna 794healthcareassociatedurinarytractinfectionhautiariskfactorforclostridioidesdifficileinfectioncdiresultsofarealworlddataanalysis AT jokinengordonhanna 794healthcareassociatedurinarytractinfectionhautiariskfactorforclostridioidesdifficileinfectioncdiresultsofarealworlddataanalysis |