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External validation of the sepsis severity score
INTRODUCTION: Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. Mortality rates are high, exceeding 50% in patients with septic shock. The sepsis severity score (SSS) was developed to determine the severity of sepsis and as a prognostic mo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7328217/ https://www.ncbi.nlm.nih.gov/pubmed/32602801 http://dx.doi.org/10.1177/2058738420936386 |
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author | Wełna, Marek Adamik, Barbara Goździk, Waldemar Kübler, Andrzej |
author_facet | Wełna, Marek Adamik, Barbara Goździk, Waldemar Kübler, Andrzej |
author_sort | Wełna, Marek |
collection | PubMed |
description | INTRODUCTION: Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. Mortality rates are high, exceeding 50% in patients with septic shock. The sepsis severity score (SSS) was developed to determine the severity of sepsis and as a prognostic model. The aim of this study was to externally validate the SSS model. METHODS: Calibration and discrimination of the SSS were retrospectively evaluated using data from a single-center sepsis registry. RESULTS: Data from 156 septic patients were recorded; 56% of them had septic shock, 94% of patients required mechanical ventilation. The observed hospital mortality was 60.3%. The mean SSS value was 94.4 (95% CI 90.5–98.3). The SSS presented excellent discrimination with an area under the receiver operating characteristic curve (AUC) of 0.806 (95% CI 0.734–0.866). The pairwise comparison of APACHE II (AUC = 0.789; 95% CI 0.715–0.851) with SSS and 1st day SOFA (AUC = 0.75; 95% CI 0.673–0.817) with SSS revealed no significant differences in discrimination between the models. The calibration of the SSS was good with the Hosmer-Lemeshow goodness-of-fit H test 9.59, P > 0.05. Analyses of calibration curve show absence of accurate predictions in lower deciles of lower risk (2nd and 4th). CONCLUSION: The SSS demonstrated excellent discrimination. The calibration evaluation gave conflicting results; the H-L test result indicated a good calibration, while the visual analysis of the calibration curve suggested the opposite. The SSS requires further evaluation before it can be safely recommended as an outcome prediction model. |
format | Online Article Text |
id | pubmed-7328217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-73282172020-07-08 External validation of the sepsis severity score Wełna, Marek Adamik, Barbara Goździk, Waldemar Kübler, Andrzej Int J Immunopathol Pharmacol Original Research Article INTRODUCTION: Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. Mortality rates are high, exceeding 50% in patients with septic shock. The sepsis severity score (SSS) was developed to determine the severity of sepsis and as a prognostic model. The aim of this study was to externally validate the SSS model. METHODS: Calibration and discrimination of the SSS were retrospectively evaluated using data from a single-center sepsis registry. RESULTS: Data from 156 septic patients were recorded; 56% of them had septic shock, 94% of patients required mechanical ventilation. The observed hospital mortality was 60.3%. The mean SSS value was 94.4 (95% CI 90.5–98.3). The SSS presented excellent discrimination with an area under the receiver operating characteristic curve (AUC) of 0.806 (95% CI 0.734–0.866). The pairwise comparison of APACHE II (AUC = 0.789; 95% CI 0.715–0.851) with SSS and 1st day SOFA (AUC = 0.75; 95% CI 0.673–0.817) with SSS revealed no significant differences in discrimination between the models. The calibration of the SSS was good with the Hosmer-Lemeshow goodness-of-fit H test 9.59, P > 0.05. Analyses of calibration curve show absence of accurate predictions in lower deciles of lower risk (2nd and 4th). CONCLUSION: The SSS demonstrated excellent discrimination. The calibration evaluation gave conflicting results; the H-L test result indicated a good calibration, while the visual analysis of the calibration curve suggested the opposite. The SSS requires further evaluation before it can be safely recommended as an outcome prediction model. SAGE Publications 2020-06-30 /pmc/articles/PMC7328217/ /pubmed/32602801 http://dx.doi.org/10.1177/2058738420936386 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Article Wełna, Marek Adamik, Barbara Goździk, Waldemar Kübler, Andrzej External validation of the sepsis severity score |
title | External validation of the sepsis severity score |
title_full | External validation of the sepsis severity score |
title_fullStr | External validation of the sepsis severity score |
title_full_unstemmed | External validation of the sepsis severity score |
title_short | External validation of the sepsis severity score |
title_sort | external validation of the sepsis severity score |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7328217/ https://www.ncbi.nlm.nih.gov/pubmed/32602801 http://dx.doi.org/10.1177/2058738420936386 |
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