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Early Response in Cellulitis: A Prospective Study of Dynamics and Predictors

Background. Skin and soft tissue infections are common reasons for medical care. Use of broad-spectrum therapy and costs have increased. Assessment of early treatment response has been given a central role both in clinical trials and everyday practice. However, there is a paucity of data on the dyna...

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Autores principales: Bruun, Trond, Oppegaard, Oddvar, Hufthammer, Karl Ove, Langeland, Nina, Skrede, Steinar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5036916/
https://www.ncbi.nlm.nih.gov/pubmed/27402819
http://dx.doi.org/10.1093/cid/ciw463
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author Bruun, Trond
Oppegaard, Oddvar
Hufthammer, Karl Ove
Langeland, Nina
Skrede, Steinar
author_facet Bruun, Trond
Oppegaard, Oddvar
Hufthammer, Karl Ove
Langeland, Nina
Skrede, Steinar
author_sort Bruun, Trond
collection PubMed
description Background. Skin and soft tissue infections are common reasons for medical care. Use of broad-spectrum therapy and costs have increased. Assessment of early treatment response has been given a central role both in clinical trials and everyday practice. However, there is a paucity of data on the dynamics of response, causes of early nonresponse, and how early nonresponse affects resource use and predicts outcome. Methods. We prospectively enrolled 216 patients hospitalized with cellulitis. Clinical and biochemical response data during the first 3 days of treatment were analyzed in relation to baseline factors, antibiotic use, surgery, and outcome. Multivariable analysis included logistic lasso regression. Results. Clinical or biochemical response was observed in the majority of patients the day after treatment initiation. Concordance between clinical and biochemical response was strongest at days 2 and 3. Female sex, cardiovascular disease, higher body mass index, shorter duration of symptoms, and cellulitis other than typical erysipelas were predictors of nonresponse at day 3. In contrast, baseline factors were not predictive of clinical failure assessed posttreatment. Among cases with antibiotic treatment escalation by day 2, 90% (37/41) had nonresponse at day 1, but only 5% (2/40) had inappropriate initial therapy. Nonresponse at day 3 was a predictor of treatment duration >14 days, but not of clinical failure. Conclusions. Nonpharmacological factors had a major impact on early response dynamics. Delayed response was rarely related to inappropriate therapy but strongly predictive of early treatment escalation, suggesting that broadening antibiotic treatment may often be premature.
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spelling pubmed-50369162016-09-27 Early Response in Cellulitis: A Prospective Study of Dynamics and Predictors Bruun, Trond Oppegaard, Oddvar Hufthammer, Karl Ove Langeland, Nina Skrede, Steinar Clin Infect Dis Articles and Commentaries Background. Skin and soft tissue infections are common reasons for medical care. Use of broad-spectrum therapy and costs have increased. Assessment of early treatment response has been given a central role both in clinical trials and everyday practice. However, there is a paucity of data on the dynamics of response, causes of early nonresponse, and how early nonresponse affects resource use and predicts outcome. Methods. We prospectively enrolled 216 patients hospitalized with cellulitis. Clinical and biochemical response data during the first 3 days of treatment were analyzed in relation to baseline factors, antibiotic use, surgery, and outcome. Multivariable analysis included logistic lasso regression. Results. Clinical or biochemical response was observed in the majority of patients the day after treatment initiation. Concordance between clinical and biochemical response was strongest at days 2 and 3. Female sex, cardiovascular disease, higher body mass index, shorter duration of symptoms, and cellulitis other than typical erysipelas were predictors of nonresponse at day 3. In contrast, baseline factors were not predictive of clinical failure assessed posttreatment. Among cases with antibiotic treatment escalation by day 2, 90% (37/41) had nonresponse at day 1, but only 5% (2/40) had inappropriate initial therapy. Nonresponse at day 3 was a predictor of treatment duration >14 days, but not of clinical failure. Conclusions. Nonpharmacological factors had a major impact on early response dynamics. Delayed response was rarely related to inappropriate therapy but strongly predictive of early treatment escalation, suggesting that broadening antibiotic treatment may often be premature. Oxford University Press 2016-10-15 2016-07-11 /pmc/articles/PMC5036916/ /pubmed/27402819 http://dx.doi.org/10.1093/cid/ciw463 Text en © The Author 2016. Published by Oxford University Press for the 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, contact journals.permissions@oup.com.
spellingShingle Articles and Commentaries
Bruun, Trond
Oppegaard, Oddvar
Hufthammer, Karl Ove
Langeland, Nina
Skrede, Steinar
Early Response in Cellulitis: A Prospective Study of Dynamics and Predictors
title Early Response in Cellulitis: A Prospective Study of Dynamics and Predictors
title_full Early Response in Cellulitis: A Prospective Study of Dynamics and Predictors
title_fullStr Early Response in Cellulitis: A Prospective Study of Dynamics and Predictors
title_full_unstemmed Early Response in Cellulitis: A Prospective Study of Dynamics and Predictors
title_short Early Response in Cellulitis: A Prospective Study of Dynamics and Predictors
title_sort early response in cellulitis: a prospective study of dynamics and predictors
topic Articles and Commentaries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5036916/
https://www.ncbi.nlm.nih.gov/pubmed/27402819
http://dx.doi.org/10.1093/cid/ciw463
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