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Impact of bacteremia prediction rule in CAP: Before and after study
OBJECTIVE: In cases of community acquired pneumonia (CAP), it has been known that blood cultures have low yields and rarely affect clinical outcomes. Despite many studies predicting the likelihood of bacteremia in CAP patients, those results have been rarely implemented in clinical practice, and use...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127687/ https://www.ncbi.nlm.nih.gov/pubmed/28988847 http://dx.doi.org/10.1016/j.ajem.2017.10.005 |
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author | Kim, Byunghyun Kim, Kyuseok Lee, Jieun Kim, Joonghee Jo, Yoo Hwan Lee, Jae Hyuk Hwang, Ji Eun |
author_facet | Kim, Byunghyun Kim, Kyuseok Lee, Jieun Kim, Joonghee Jo, Yoo Hwan Lee, Jae Hyuk Hwang, Ji Eun |
author_sort | Kim, Byunghyun |
collection | PubMed |
description | OBJECTIVE: In cases of community acquired pneumonia (CAP), it has been known that blood cultures have low yields and rarely affect clinical outcomes. Despite many studies predicting the likelihood of bacteremia in CAP patients, those results have been rarely implemented in clinical practice, and use of blood culture in CAP is still increasing. This study evaluated impact of implementing a previously derived and validated bacteremia prediction rule. METHODS: In this registry-based before and after study, we used piecewise regression analysis to compare the blood culture rate before and after implementation of the prediction rule. We also compared 30-day mortality, emergency department (ED) length of stay, time-interval to initial antibiotics after ED arrival, and any changes to the antibiotics regimen as results of the blood cultures. In subgroup analysis, we compared two groups (with or without the use of the prediction rule) after implementation period, using propensity score matching. RESULTS: Following the implementation, the blood culture rate declined from 85.5% to 78.1% (P = 0.003) without significant changes in 30-day mortality and antibiotics regimen. The interval to initial antibiotics (231 min vs. 221 min, P = 0.362) and length of stay (1019 min vs. 954 min, P = 0.354) were not significantly changed. In subgroup analysis, the group that use the prediction rule showed 25 min faster antibiotics initiation (P = 0.002) and 48 min shorter length of stay (P = 0.007) than the group that did not use the rule. CONCLUSION: Implementation of the bacteremia prediction rule in CAP patients reduced the blood culture rate without affecting the 30-day mortality and antibiotics regimen. |
format | Online Article Text |
id | pubmed-7127687 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71276872020-04-08 Impact of bacteremia prediction rule in CAP: Before and after study Kim, Byunghyun Kim, Kyuseok Lee, Jieun Kim, Joonghee Jo, Yoo Hwan Lee, Jae Hyuk Hwang, Ji Eun Am J Emerg Med Article OBJECTIVE: In cases of community acquired pneumonia (CAP), it has been known that blood cultures have low yields and rarely affect clinical outcomes. Despite many studies predicting the likelihood of bacteremia in CAP patients, those results have been rarely implemented in clinical practice, and use of blood culture in CAP is still increasing. This study evaluated impact of implementing a previously derived and validated bacteremia prediction rule. METHODS: In this registry-based before and after study, we used piecewise regression analysis to compare the blood culture rate before and after implementation of the prediction rule. We also compared 30-day mortality, emergency department (ED) length of stay, time-interval to initial antibiotics after ED arrival, and any changes to the antibiotics regimen as results of the blood cultures. In subgroup analysis, we compared two groups (with or without the use of the prediction rule) after implementation period, using propensity score matching. RESULTS: Following the implementation, the blood culture rate declined from 85.5% to 78.1% (P = 0.003) without significant changes in 30-day mortality and antibiotics regimen. The interval to initial antibiotics (231 min vs. 221 min, P = 0.362) and length of stay (1019 min vs. 954 min, P = 0.354) were not significantly changed. In subgroup analysis, the group that use the prediction rule showed 25 min faster antibiotics initiation (P = 0.002) and 48 min shorter length of stay (P = 0.007) than the group that did not use the rule. CONCLUSION: Implementation of the bacteremia prediction rule in CAP patients reduced the blood culture rate without affecting the 30-day mortality and antibiotics regimen. Elsevier Inc. 2018-05 2017-10-04 /pmc/articles/PMC7127687/ /pubmed/28988847 http://dx.doi.org/10.1016/j.ajem.2017.10.005 Text en © 2017 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Kim, Byunghyun Kim, Kyuseok Lee, Jieun Kim, Joonghee Jo, Yoo Hwan Lee, Jae Hyuk Hwang, Ji Eun Impact of bacteremia prediction rule in CAP: Before and after study |
title | Impact of bacteremia prediction rule in CAP: Before and after study |
title_full | Impact of bacteremia prediction rule in CAP: Before and after study |
title_fullStr | Impact of bacteremia prediction rule in CAP: Before and after study |
title_full_unstemmed | Impact of bacteremia prediction rule in CAP: Before and after study |
title_short | Impact of bacteremia prediction rule in CAP: Before and after study |
title_sort | impact of bacteremia prediction rule in cap: before and after study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127687/ https://www.ncbi.nlm.nih.gov/pubmed/28988847 http://dx.doi.org/10.1016/j.ajem.2017.10.005 |
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