Cargando…

Development of a prediction model for bacteremia in hospitalized adults with cellulitis to aid in the efficient use of blood cultures: a retrospective cohort study

BACKGROUND: Cellulitis is a common infectious disease. Although blood culture is frequently used in the diagnosis and subsequent treatment of cellulitis, it is a contentious diagnostic test. To help clinicians determine which patients should undergo blood culture for the management of cellulitis, a...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Chun-Yuan, Kunin, Calvin M., Chang, Chung, Lee, Susan Shin-Jung, Chen, Yao-Shen, Tsai, Hung-Chin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5070006/
https://www.ncbi.nlm.nih.gov/pubmed/27756213
http://dx.doi.org/10.1186/s12879-016-1907-2
_version_ 1782461052674375680
author Lee, Chun-Yuan
Kunin, Calvin M.
Chang, Chung
Lee, Susan Shin-Jung
Chen, Yao-Shen
Tsai, Hung-Chin
author_facet Lee, Chun-Yuan
Kunin, Calvin M.
Chang, Chung
Lee, Susan Shin-Jung
Chen, Yao-Shen
Tsai, Hung-Chin
author_sort Lee, Chun-Yuan
collection PubMed
description BACKGROUND: Cellulitis is a common infectious disease. Although blood culture is frequently used in the diagnosis and subsequent treatment of cellulitis, it is a contentious diagnostic test. To help clinicians determine which patients should undergo blood culture for the management of cellulitis, a diagnostic scoring system referred to as the Bacteremia Score of Cellulitis was developed. METHODS: Univariable and multivariable logistic regression analyses were performed as part of a retrospective cohort study of all adults diagnosed with cellulitis in a tertiary teaching hospital in Taiwan in 2013. Patients who underwent blood culture were used to develop a diagnostic prediction model where the main outcome measures were true bacteremia in cellulitis cases. Area under the receiver operating characteristics curve (AUC) was used to demonstrate the predictive power of the model, and bootstrapping was then used to validate the performance. RESULTS: Three hundred fifty one cases with cellulitis who underwent blood culture were enrolled. The overall prevalence of true bacteremia was 33/351 cases (9.4 %). Multivariable logistic regression analysis showed optimal diagnostic discrimination for the combination of age ≥65 years (odds ratio [OR] = 3.9; 95 % confidence interval (CI), 1.5–10.1), involvement of non-lower extremities (OR = 4.0; 95 % CI, 1.5–10.6), liver cirrhosis (OR = 6.8; 95 % CI, 1.8–25.3), and systemic inflammatory response syndrome (SIRS) (OR = 15.2; 95 % CI, 4.8–48.0). These four independent factors were included in the initial formula, and the AUC for this combination of factors was 0.867 (95 % CI, 0.806–0.928). The rounded formula was 1 × (age ≥65 years) + 1.5 × (involvement of non-lower extremities) + 2 × (liver cirrhosis) + 2.5 × (SIRS). The overall prevalence of true bacteremia (9.4 %) in this study could be lowered to 1.0 % (low risk group, score ≤1.5) or raised to 14.7 % (medium risk group, score 2–3.5) and 41.2 % (high risk group, score ≥4.0), depending on different clinical scores. CONCLUSIONS: Determining the risk of bacteremia in patients with cellulitis will allow a more efficient use of blood cultures in the diagnosis and treatment of this condition. External validation of this preliminary scoring system in future trials is needed to optimize the test. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-016-1907-2) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5070006
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-50700062016-10-24 Development of a prediction model for bacteremia in hospitalized adults with cellulitis to aid in the efficient use of blood cultures: a retrospective cohort study Lee, Chun-Yuan Kunin, Calvin M. Chang, Chung Lee, Susan Shin-Jung Chen, Yao-Shen Tsai, Hung-Chin BMC Infect Dis Research Article BACKGROUND: Cellulitis is a common infectious disease. Although blood culture is frequently used in the diagnosis and subsequent treatment of cellulitis, it is a contentious diagnostic test. To help clinicians determine which patients should undergo blood culture for the management of cellulitis, a diagnostic scoring system referred to as the Bacteremia Score of Cellulitis was developed. METHODS: Univariable and multivariable logistic regression analyses were performed as part of a retrospective cohort study of all adults diagnosed with cellulitis in a tertiary teaching hospital in Taiwan in 2013. Patients who underwent blood culture were used to develop a diagnostic prediction model where the main outcome measures were true bacteremia in cellulitis cases. Area under the receiver operating characteristics curve (AUC) was used to demonstrate the predictive power of the model, and bootstrapping was then used to validate the performance. RESULTS: Three hundred fifty one cases with cellulitis who underwent blood culture were enrolled. The overall prevalence of true bacteremia was 33/351 cases (9.4 %). Multivariable logistic regression analysis showed optimal diagnostic discrimination for the combination of age ≥65 years (odds ratio [OR] = 3.9; 95 % confidence interval (CI), 1.5–10.1), involvement of non-lower extremities (OR = 4.0; 95 % CI, 1.5–10.6), liver cirrhosis (OR = 6.8; 95 % CI, 1.8–25.3), and systemic inflammatory response syndrome (SIRS) (OR = 15.2; 95 % CI, 4.8–48.0). These four independent factors were included in the initial formula, and the AUC for this combination of factors was 0.867 (95 % CI, 0.806–0.928). The rounded formula was 1 × (age ≥65 years) + 1.5 × (involvement of non-lower extremities) + 2 × (liver cirrhosis) + 2.5 × (SIRS). The overall prevalence of true bacteremia (9.4 %) in this study could be lowered to 1.0 % (low risk group, score ≤1.5) or raised to 14.7 % (medium risk group, score 2–3.5) and 41.2 % (high risk group, score ≥4.0), depending on different clinical scores. CONCLUSIONS: Determining the risk of bacteremia in patients with cellulitis will allow a more efficient use of blood cultures in the diagnosis and treatment of this condition. External validation of this preliminary scoring system in future trials is needed to optimize the test. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-016-1907-2) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-19 /pmc/articles/PMC5070006/ /pubmed/27756213 http://dx.doi.org/10.1186/s12879-016-1907-2 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Lee, Chun-Yuan
Kunin, Calvin M.
Chang, Chung
Lee, Susan Shin-Jung
Chen, Yao-Shen
Tsai, Hung-Chin
Development of a prediction model for bacteremia in hospitalized adults with cellulitis to aid in the efficient use of blood cultures: a retrospective cohort study
title Development of a prediction model for bacteremia in hospitalized adults with cellulitis to aid in the efficient use of blood cultures: a retrospective cohort study
title_full Development of a prediction model for bacteremia in hospitalized adults with cellulitis to aid in the efficient use of blood cultures: a retrospective cohort study
title_fullStr Development of a prediction model for bacteremia in hospitalized adults with cellulitis to aid in the efficient use of blood cultures: a retrospective cohort study
title_full_unstemmed Development of a prediction model for bacteremia in hospitalized adults with cellulitis to aid in the efficient use of blood cultures: a retrospective cohort study
title_short Development of a prediction model for bacteremia in hospitalized adults with cellulitis to aid in the efficient use of blood cultures: a retrospective cohort study
title_sort development of a prediction model for bacteremia in hospitalized adults with cellulitis to aid in the efficient use of blood cultures: a retrospective cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5070006/
https://www.ncbi.nlm.nih.gov/pubmed/27756213
http://dx.doi.org/10.1186/s12879-016-1907-2
work_keys_str_mv AT leechunyuan developmentofapredictionmodelforbacteremiainhospitalizedadultswithcellulitistoaidintheefficientuseofbloodculturesaretrospectivecohortstudy
AT kunincalvinm developmentofapredictionmodelforbacteremiainhospitalizedadultswithcellulitistoaidintheefficientuseofbloodculturesaretrospectivecohortstudy
AT changchung developmentofapredictionmodelforbacteremiainhospitalizedadultswithcellulitistoaidintheefficientuseofbloodculturesaretrospectivecohortstudy
AT leesusanshinjung developmentofapredictionmodelforbacteremiainhospitalizedadultswithcellulitistoaidintheefficientuseofbloodculturesaretrospectivecohortstudy
AT chenyaoshen developmentofapredictionmodelforbacteremiainhospitalizedadultswithcellulitistoaidintheefficientuseofbloodculturesaretrospectivecohortstudy
AT tsaihungchin developmentofapredictionmodelforbacteremiainhospitalizedadultswithcellulitistoaidintheefficientuseofbloodculturesaretrospectivecohortstudy