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An evaluation of the Charlson co-morbidity score for predicting sepsis after elective major surgery

BACKGROUND AND AIMS: Severe sepsis is a significant cause of morbidity and mortality following major surgery. The Charlson co-morbidity score (CCS) has been shown to be associated with severe sepsis following major surgery for cancer. This prospective observational study investigated the effect of p...

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Autores principales: Hampshire, Peter A., Guha, Arpan, Strong, Ann, Parsons, Dawn, Rowan, Patricia
Formato: Texto
Lenguaje:English
Publicado: Medknow Publications 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3097539/
https://www.ncbi.nlm.nih.gov/pubmed/21633543
http://dx.doi.org/10.4103/0972-5229.78221
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author Hampshire, Peter A.
Guha, Arpan
Strong, Ann
Parsons, Dawn
Rowan, Patricia
author_facet Hampshire, Peter A.
Guha, Arpan
Strong, Ann
Parsons, Dawn
Rowan, Patricia
author_sort Hampshire, Peter A.
collection PubMed
description BACKGROUND AND AIMS: Severe sepsis is a significant cause of morbidity and mortality following major surgery. The Charlson co-morbidity score (CCS) has been shown to be associated with severe sepsis following major surgery for cancer. This prospective observational study investigated the effect of patient factors (CCS, gender, age and malignancy) and intraoperative factors (duration of surgery and allogeneic blood transfusion) on the incidence of sepsis after elective major surgery, and the impact of patient co-morbidities on length of stay in critical care. MATERIALS AND METHODS: We prospectively identified a cohort of 101 patients undergoing elective major surgery in a university teaching hospital. The CCS was calculated before surgery, and the incidence of sepsis was documented following surgery. We investigated whether age, malignancy, intraoperative allogeneic blood transfusion, length of surgery or gender were associated with sepsis following surgery. RESULTS: Twenty-seven (27%) patients developed sepsis. Using multivariate logistic regression, the duration of surgery was associated with the development of sepsis after surgery (P = 0.054, odds ratio 1.2). The CCS was not associated with sepsis in this population of cancer and non-cancer patients undergoing elective major surgery, but was associated with longer length of stay in the intensive care unit (P = 0.016). CONCLUSIONS: Duration of surgery, but not patient co-morbidity as assessed by the CCS, may predict the postoperative incidence of sepsis. CCS could be used as a guide to predict consumption of critical care resources by elective surgical patients. A higher CCS was associated with a longer ICU stay. Resources, such as postoperative goal directed therapy, may be useful in reducing length of stay, hospital costs and risks of infective complications in this subgroup of patients with higher CCS.
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spelling pubmed-30975392011-06-01 An evaluation of the Charlson co-morbidity score for predicting sepsis after elective major surgery Hampshire, Peter A. Guha, Arpan Strong, Ann Parsons, Dawn Rowan, Patricia Indian J Crit Care Med Research Article BACKGROUND AND AIMS: Severe sepsis is a significant cause of morbidity and mortality following major surgery. The Charlson co-morbidity score (CCS) has been shown to be associated with severe sepsis following major surgery for cancer. This prospective observational study investigated the effect of patient factors (CCS, gender, age and malignancy) and intraoperative factors (duration of surgery and allogeneic blood transfusion) on the incidence of sepsis after elective major surgery, and the impact of patient co-morbidities on length of stay in critical care. MATERIALS AND METHODS: We prospectively identified a cohort of 101 patients undergoing elective major surgery in a university teaching hospital. The CCS was calculated before surgery, and the incidence of sepsis was documented following surgery. We investigated whether age, malignancy, intraoperative allogeneic blood transfusion, length of surgery or gender were associated with sepsis following surgery. RESULTS: Twenty-seven (27%) patients developed sepsis. Using multivariate logistic regression, the duration of surgery was associated with the development of sepsis after surgery (P = 0.054, odds ratio 1.2). The CCS was not associated with sepsis in this population of cancer and non-cancer patients undergoing elective major surgery, but was associated with longer length of stay in the intensive care unit (P = 0.016). CONCLUSIONS: Duration of surgery, but not patient co-morbidity as assessed by the CCS, may predict the postoperative incidence of sepsis. CCS could be used as a guide to predict consumption of critical care resources by elective surgical patients. A higher CCS was associated with a longer ICU stay. Resources, such as postoperative goal directed therapy, may be useful in reducing length of stay, hospital costs and risks of infective complications in this subgroup of patients with higher CCS. Medknow Publications 2011 /pmc/articles/PMC3097539/ /pubmed/21633543 http://dx.doi.org/10.4103/0972-5229.78221 Text en © Indian Journal of Critical Care Medicine http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hampshire, Peter A.
Guha, Arpan
Strong, Ann
Parsons, Dawn
Rowan, Patricia
An evaluation of the Charlson co-morbidity score for predicting sepsis after elective major surgery
title An evaluation of the Charlson co-morbidity score for predicting sepsis after elective major surgery
title_full An evaluation of the Charlson co-morbidity score for predicting sepsis after elective major surgery
title_fullStr An evaluation of the Charlson co-morbidity score for predicting sepsis after elective major surgery
title_full_unstemmed An evaluation of the Charlson co-morbidity score for predicting sepsis after elective major surgery
title_short An evaluation of the Charlson co-morbidity score for predicting sepsis after elective major surgery
title_sort evaluation of the charlson co-morbidity score for predicting sepsis after elective major surgery
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3097539/
https://www.ncbi.nlm.nih.gov/pubmed/21633543
http://dx.doi.org/10.4103/0972-5229.78221
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