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Defining and measuring suspicion of sepsis: an analysis of routine data

OBJECTIVES: To define the target population of patients who have suspicion of sepsis (SOS) and to provide a basis for assessing the burden of SOS, and the evaluation of sepsis guidelines and improvement programmes. DESIGN: Retrospective analysis of routinely collected hospital administrative data. S...

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Autores principales: Inada-Kim, Matthew, Page, Bethan, Maqsood, Imran, Vincent, Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734411/
https://www.ncbi.nlm.nih.gov/pubmed/28601825
http://dx.doi.org/10.1136/bmjopen-2016-014885
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author Inada-Kim, Matthew
Page, Bethan
Maqsood, Imran
Vincent, Charles
author_facet Inada-Kim, Matthew
Page, Bethan
Maqsood, Imran
Vincent, Charles
author_sort Inada-Kim, Matthew
collection PubMed
description OBJECTIVES: To define the target population of patients who have suspicion of sepsis (SOS) and to provide a basis for assessing the burden of SOS, and the evaluation of sepsis guidelines and improvement programmes. DESIGN: Retrospective analysis of routinely collected hospital administrative data. SETTING: Secondary care, eight National Health Service (NHS) Acute Trusts. PARTICIPANTS: Hospital Episode Statistics data for 2013–2014 was used to identify all admissions with a primary diagnosis listed in the ‘suspicion of sepsis’ (SOS) coding set. The SOS coding set consists of all bacterial infective diagnoses. RESULTS: We identified 47 475 admissions with SOS, equivalent to a rate of 17 admissions per 1000 adults in a given year. The mortality for this group was 7.2% during their acute hospital admission. Urinary tract infection was the most common diagnosis and lobar pneumonia was associated with the most deaths. A short list of 10 diagnoses can account for 85% of the deaths. CONCLUSIONS: Patients with SOS can be identified in routine administrative data. It is these patients who should be screened for sepsis and are the target of programmes to improve the detection and treatment of sepsis. The effectiveness of such programmes can be evaluated by examining the outcomes of patients with SOS.
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spelling pubmed-57344112017-12-20 Defining and measuring suspicion of sepsis: an analysis of routine data Inada-Kim, Matthew Page, Bethan Maqsood, Imran Vincent, Charles BMJ Open Infectious Diseases OBJECTIVES: To define the target population of patients who have suspicion of sepsis (SOS) and to provide a basis for assessing the burden of SOS, and the evaluation of sepsis guidelines and improvement programmes. DESIGN: Retrospective analysis of routinely collected hospital administrative data. SETTING: Secondary care, eight National Health Service (NHS) Acute Trusts. PARTICIPANTS: Hospital Episode Statistics data for 2013–2014 was used to identify all admissions with a primary diagnosis listed in the ‘suspicion of sepsis’ (SOS) coding set. The SOS coding set consists of all bacterial infective diagnoses. RESULTS: We identified 47 475 admissions with SOS, equivalent to a rate of 17 admissions per 1000 adults in a given year. The mortality for this group was 7.2% during their acute hospital admission. Urinary tract infection was the most common diagnosis and lobar pneumonia was associated with the most deaths. A short list of 10 diagnoses can account for 85% of the deaths. CONCLUSIONS: Patients with SOS can be identified in routine administrative data. It is these patients who should be screened for sepsis and are the target of programmes to improve the detection and treatment of sepsis. The effectiveness of such programmes can be evaluated by examining the outcomes of patients with SOS. BMJ Publishing Group 2017-06-09 /pmc/articles/PMC5734411/ /pubmed/28601825 http://dx.doi.org/10.1136/bmjopen-2016-014885 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Infectious Diseases
Inada-Kim, Matthew
Page, Bethan
Maqsood, Imran
Vincent, Charles
Defining and measuring suspicion of sepsis: an analysis of routine data
title Defining and measuring suspicion of sepsis: an analysis of routine data
title_full Defining and measuring suspicion of sepsis: an analysis of routine data
title_fullStr Defining and measuring suspicion of sepsis: an analysis of routine data
title_full_unstemmed Defining and measuring suspicion of sepsis: an analysis of routine data
title_short Defining and measuring suspicion of sepsis: an analysis of routine data
title_sort defining and measuring suspicion of sepsis: an analysis of routine data
topic Infectious Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5734411/
https://www.ncbi.nlm.nih.gov/pubmed/28601825
http://dx.doi.org/10.1136/bmjopen-2016-014885
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