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Predictive performance of critical illness scores and procalcitonin in sepsis caused by different gram-stain bacteria
OBJECTIVES: To compare the early and late predictive values of several critical illness scores (CISs) and biomarkers in sepsis-3 patients with bloodstream infections (BSIs) and to identify the prognostic value of procalcitonin (PCT) for different gram-stain bacteria infections. METHODS: Patients wit...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Faculdade de Medicina / USP
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158675/ https://www.ncbi.nlm.nih.gov/pubmed/34133658 http://dx.doi.org/10.6061/clinics/2021/e2610 |
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author | Yan, ShengTao Zhang, GuoQiang |
author_facet | Yan, ShengTao Zhang, GuoQiang |
author_sort | Yan, ShengTao |
collection | PubMed |
description | OBJECTIVES: To compare the early and late predictive values of several critical illness scores (CISs) and biomarkers in sepsis-3 patients with bloodstream infections (BSIs) and to identify the prognostic value of procalcitonin (PCT) for different gram-stain bacteria infections. METHODS: Patients with at least one positive blood culture within 24h of emergency department admission and with a final diagnosis of sepsis/septic shock were enrolled. CISs were calculated based on the first parameters on the day of admission. The receiver operating characteristics curve was used to analyze the predictive value of CISs and biomarkers for early and late mortality. RESULTS: Of 834 enrolled patients with sepsis-3, death occurred in 214 patients within 28 days and in 273 patients within 60 days. Compared with biomarkers, CISs showed a significantly higher area under the curve (AUC) in the prediction of early and late mortality (p<0.01), especially for patients with GNB infection. The Sequential Organ Failure Assessment score showed a higher AUC for predicting early mortality than the Mortality in Emergency Department Sepsis score (p=0.036). Compared with GNB infections, the AUC values of the PCT for gram-positive bacteria (GPB) infections were higher for predicting early or late mortality; PCT showed higher AUC than high-sensitivity C-reactive protein and white blood cells for predicting early mortality (p<0.05). CONCLUSIONS: CISs were more advantageous in the assessment of early and late prognosis, especially for patients with GNB infections; however, for sepsis with GPB infection, PCT can be used for the prediction of early mortality. |
format | Online Article Text |
id | pubmed-8158675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Faculdade de Medicina / USP |
record_format | MEDLINE/PubMed |
spelling | pubmed-81586752021-05-27 Predictive performance of critical illness scores and procalcitonin in sepsis caused by different gram-stain bacteria Yan, ShengTao Zhang, GuoQiang Clinics (Sao Paulo) Original Article OBJECTIVES: To compare the early and late predictive values of several critical illness scores (CISs) and biomarkers in sepsis-3 patients with bloodstream infections (BSIs) and to identify the prognostic value of procalcitonin (PCT) for different gram-stain bacteria infections. METHODS: Patients with at least one positive blood culture within 24h of emergency department admission and with a final diagnosis of sepsis/septic shock were enrolled. CISs were calculated based on the first parameters on the day of admission. The receiver operating characteristics curve was used to analyze the predictive value of CISs and biomarkers for early and late mortality. RESULTS: Of 834 enrolled patients with sepsis-3, death occurred in 214 patients within 28 days and in 273 patients within 60 days. Compared with biomarkers, CISs showed a significantly higher area under the curve (AUC) in the prediction of early and late mortality (p<0.01), especially for patients with GNB infection. The Sequential Organ Failure Assessment score showed a higher AUC for predicting early mortality than the Mortality in Emergency Department Sepsis score (p=0.036). Compared with GNB infections, the AUC values of the PCT for gram-positive bacteria (GPB) infections were higher for predicting early or late mortality; PCT showed higher AUC than high-sensitivity C-reactive protein and white blood cells for predicting early mortality (p<0.05). CONCLUSIONS: CISs were more advantageous in the assessment of early and late prognosis, especially for patients with GNB infections; however, for sepsis with GPB infection, PCT can be used for the prediction of early mortality. Faculdade de Medicina / USP 2021-05-27 2021 /pmc/articles/PMC8158675/ /pubmed/34133658 http://dx.doi.org/10.6061/clinics/2021/e2610 Text en Copyright © 2021 CLINICS https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ) which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is properly cited. |
spellingShingle | Original Article Yan, ShengTao Zhang, GuoQiang Predictive performance of critical illness scores and procalcitonin in sepsis caused by different gram-stain bacteria |
title | Predictive performance of critical illness scores and procalcitonin in sepsis caused by different gram-stain bacteria |
title_full | Predictive performance of critical illness scores and procalcitonin in sepsis caused by different gram-stain bacteria |
title_fullStr | Predictive performance of critical illness scores and procalcitonin in sepsis caused by different gram-stain bacteria |
title_full_unstemmed | Predictive performance of critical illness scores and procalcitonin in sepsis caused by different gram-stain bacteria |
title_short | Predictive performance of critical illness scores and procalcitonin in sepsis caused by different gram-stain bacteria |
title_sort | predictive performance of critical illness scores and procalcitonin in sepsis caused by different gram-stain bacteria |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158675/ https://www.ncbi.nlm.nih.gov/pubmed/34133658 http://dx.doi.org/10.6061/clinics/2021/e2610 |
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