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Developing a clinically relevant classification to predict mortality in severe leptospirosis
BACKGROUND: Severe leptospirosis requires critical care and has a high mortality. We reviewed the literature to identify factors predicting mortality, and such predictors were classified according to the predisposition, infection, response, organ dysfunction (PIRO) concept, which is a risk stratific...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2938484/ https://www.ncbi.nlm.nih.gov/pubmed/20930963 http://dx.doi.org/10.4103/0974-2700.66519 |
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author | Rajapakse, Senaka Rodrigo, Chaturaka Haniffa, Rashan |
author_facet | Rajapakse, Senaka Rodrigo, Chaturaka Haniffa, Rashan |
author_sort | Rajapakse, Senaka |
collection | PubMed |
description | BACKGROUND: Severe leptospirosis requires critical care and has a high mortality. We reviewed the literature to identify factors predicting mortality, and such predictors were classified according to the predisposition, infection, response, organ dysfunction (PIRO) concept, which is a risk stratification model used in severe sepsis. MATERIAL AND METHODS: PUBMED was searched for all articles (English), with the key word leptospirosis in any field, within the last 20 years. Data were collected from 45 relevant papers and grouped into each component of the PIRO model. RESULTS: The following correlated with increased mortality: predisposition – increasing age and chronic alcoholism; infection - leptospiraemic burden; response - hemodynamic disturbances, leukocytosis; organ dysfunction – multiple organ dysfunction syndrome, pulmonary involvement and acute renal failure. CONCLUSIONS: Further research is needed to identify the role of infecting serovars, clinical signs, inflammatory markers, cytokines and evidence of hepatic dysfunction as prognostic indicators. It is hoped that this paper will be an initiative to create a staging system for severity of leptospirosis based on the PIRO model with an added component for treatment-related predictors. |
format | Text |
id | pubmed-2938484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Medknow Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-29384842010-10-07 Developing a clinically relevant classification to predict mortality in severe leptospirosis Rajapakse, Senaka Rodrigo, Chaturaka Haniffa, Rashan J Emerg Trauma Shock Original Article BACKGROUND: Severe leptospirosis requires critical care and has a high mortality. We reviewed the literature to identify factors predicting mortality, and such predictors were classified according to the predisposition, infection, response, organ dysfunction (PIRO) concept, which is a risk stratification model used in severe sepsis. MATERIAL AND METHODS: PUBMED was searched for all articles (English), with the key word leptospirosis in any field, within the last 20 years. Data were collected from 45 relevant papers and grouped into each component of the PIRO model. RESULTS: The following correlated with increased mortality: predisposition – increasing age and chronic alcoholism; infection - leptospiraemic burden; response - hemodynamic disturbances, leukocytosis; organ dysfunction – multiple organ dysfunction syndrome, pulmonary involvement and acute renal failure. CONCLUSIONS: Further research is needed to identify the role of infecting serovars, clinical signs, inflammatory markers, cytokines and evidence of hepatic dysfunction as prognostic indicators. It is hoped that this paper will be an initiative to create a staging system for severity of leptospirosis based on the PIRO model with an added component for treatment-related predictors. Medknow Publications 2010 /pmc/articles/PMC2938484/ /pubmed/20930963 http://dx.doi.org/10.4103/0974-2700.66519 Text en © Journal of Emergencies, Trauma, and Shock 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 | Original Article Rajapakse, Senaka Rodrigo, Chaturaka Haniffa, Rashan Developing a clinically relevant classification to predict mortality in severe leptospirosis |
title | Developing a clinically relevant classification to predict mortality in severe leptospirosis |
title_full | Developing a clinically relevant classification to predict mortality in severe leptospirosis |
title_fullStr | Developing a clinically relevant classification to predict mortality in severe leptospirosis |
title_full_unstemmed | Developing a clinically relevant classification to predict mortality in severe leptospirosis |
title_short | Developing a clinically relevant classification to predict mortality in severe leptospirosis |
title_sort | developing a clinically relevant classification to predict mortality in severe leptospirosis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2938484/ https://www.ncbi.nlm.nih.gov/pubmed/20930963 http://dx.doi.org/10.4103/0974-2700.66519 |
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