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2112. Assessing the Accuracy of Catheter-Associated Urinary Tract Infections (CAUTI) Identification Using Urinalysis Results

BACKGROUND: Catheter-associated urinary tract infections (CAUTI) negatively impact patient morbidity, mortality and insurance reimbursement rates in acute care hospitals. Since CAUTIs are solely defined by the National Health and Safety Network (NHSN), not by clinical definition or urinalysis (UA) r...

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Autores principales: Pender, Sarah, Phillips, Michael, Stachel, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253693/
http://dx.doi.org/10.1093/ofid/ofy210.1768
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author Pender, Sarah
Phillips, Michael
Stachel, Anna
author_facet Pender, Sarah
Phillips, Michael
Stachel, Anna
author_sort Pender, Sarah
collection PubMed
description BACKGROUND: Catheter-associated urinary tract infections (CAUTI) negatively impact patient morbidity, mortality and insurance reimbursement rates in acute care hospitals. Since CAUTIs are solely defined by the National Health and Safety Network (NHSN), not by clinical definition or urinalysis (UA) result, eliminating unnecessary urine cultures will improve the accuracy of reportable CAUTI rates. Negative UA can accurately detect false-positive (FP) CAUTIs in patients with 100% negative predictive value. METHODS: We conducted a retrospective analysis of 2017 CAUTIs reported from two acute care hospitals (A and B) to determine the effectiveness of a UA screening protocol and the distribution of FPs. Hospital B implemented a UA screening protocol requiring a UA prior to urine culture. Hospital A relied solely on microbiology cultures. FPs were identified by a negative UA result, the absence of bacteria, performed on the same or prior day to the urine culture that resulted in a CAUTI. RESULTS: Our analysis showed that 13 (34%) of the 38 reported CAUTIs with an associated UA result at hospital A were FPs. Patients with a UC line duration >7 days had a CAUTI FP rate of 62% compared with 27% of those with a line duration between 3 and 7 days (Figure 1) (OR 4.6, CI: 0.9, 23.7, P = 0.09). Hospital A (no screening protocol) was 37.4 times more likely to have a FP CAUTI compared with hospital B (UA screening protocol) (CI: 2.1, 660.6; P < 0.0004). CONCLUSION: A positive culture with a negative UA is indicative of asymptomatic colonization, not true infection. Preventing FP CAUTIs would result in a 34% reduction in CAUTI rates at hospital A, placing the hospital in a better reimbursement benchmark (Figure 2). Interventions include: (1) A best practice alert in the patient’s electronic medical record that can be used to notify the providers to re-evaluate patients with UCs in place ≥ 5 days, (2) A screening protocol that requires a UA order prior to/during specimen collection and prevents processing of urine cultures with a negative UA. In patients with UCs, a protocol should be implemented to reduce FP CAUTIs to better understand the true epidemiology of CAUTIs in hospitals and increase reporting accuracy. [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-62536932018-11-28 2112. Assessing the Accuracy of Catheter-Associated Urinary Tract Infections (CAUTI) Identification Using Urinalysis Results Pender, Sarah Phillips, Michael Stachel, Anna Open Forum Infect Dis Abstracts BACKGROUND: Catheter-associated urinary tract infections (CAUTI) negatively impact patient morbidity, mortality and insurance reimbursement rates in acute care hospitals. Since CAUTIs are solely defined by the National Health and Safety Network (NHSN), not by clinical definition or urinalysis (UA) result, eliminating unnecessary urine cultures will improve the accuracy of reportable CAUTI rates. Negative UA can accurately detect false-positive (FP) CAUTIs in patients with 100% negative predictive value. METHODS: We conducted a retrospective analysis of 2017 CAUTIs reported from two acute care hospitals (A and B) to determine the effectiveness of a UA screening protocol and the distribution of FPs. Hospital B implemented a UA screening protocol requiring a UA prior to urine culture. Hospital A relied solely on microbiology cultures. FPs were identified by a negative UA result, the absence of bacteria, performed on the same or prior day to the urine culture that resulted in a CAUTI. RESULTS: Our analysis showed that 13 (34%) of the 38 reported CAUTIs with an associated UA result at hospital A were FPs. Patients with a UC line duration >7 days had a CAUTI FP rate of 62% compared with 27% of those with a line duration between 3 and 7 days (Figure 1) (OR 4.6, CI: 0.9, 23.7, P = 0.09). Hospital A (no screening protocol) was 37.4 times more likely to have a FP CAUTI compared with hospital B (UA screening protocol) (CI: 2.1, 660.6; P < 0.0004). CONCLUSION: A positive culture with a negative UA is indicative of asymptomatic colonization, not true infection. Preventing FP CAUTIs would result in a 34% reduction in CAUTI rates at hospital A, placing the hospital in a better reimbursement benchmark (Figure 2). Interventions include: (1) A best practice alert in the patient’s electronic medical record that can be used to notify the providers to re-evaluate patients with UCs in place ≥ 5 days, (2) A screening protocol that requires a UA order prior to/during specimen collection and prevents processing of urine cultures with a negative UA. In patients with UCs, a protocol should be implemented to reduce FP CAUTIs to better understand the true epidemiology of CAUTIs in hospitals and increase reporting accuracy. [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6253693/ http://dx.doi.org/10.1093/ofid/ofy210.1768 Text en © The Author(s) 2018. 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
Pender, Sarah
Phillips, Michael
Stachel, Anna
2112. Assessing the Accuracy of Catheter-Associated Urinary Tract Infections (CAUTI) Identification Using Urinalysis Results
title 2112. Assessing the Accuracy of Catheter-Associated Urinary Tract Infections (CAUTI) Identification Using Urinalysis Results
title_full 2112. Assessing the Accuracy of Catheter-Associated Urinary Tract Infections (CAUTI) Identification Using Urinalysis Results
title_fullStr 2112. Assessing the Accuracy of Catheter-Associated Urinary Tract Infections (CAUTI) Identification Using Urinalysis Results
title_full_unstemmed 2112. Assessing the Accuracy of Catheter-Associated Urinary Tract Infections (CAUTI) Identification Using Urinalysis Results
title_short 2112. Assessing the Accuracy of Catheter-Associated Urinary Tract Infections (CAUTI) Identification Using Urinalysis Results
title_sort 2112. assessing the accuracy of catheter-associated urinary tract infections (cauti) identification using urinalysis results
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253693/
http://dx.doi.org/10.1093/ofid/ofy210.1768
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