Prognostic power of biomarkers for short-term mortality in the elderly patients seen in Emergency Departments due to infections
Copyright © 2017 Elsevier España, S.L.U. and Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica. All rights reserved..
OBJECTIVES: To analyse and compare 30-day mortality prognostic power of several biomarkers (C-reactive protein, procalcitonin, lactate, suPAR and pro-adremomedullin) in elderly patients seen in Emergency Departments (ED) due to infections. Secondly, if these could improve the prognostic accuracy of sepsis criteria (systemic inflammatory response syndrome and quick Sepsis-related Organ Failure Assessment [qSOFA]).
METHODS: A prospective, observational, multicentre and analytical study. Patients aged 75 years and older who were treated for infection in the ED of 8 participating hospitals were enrolled consecutively. An assessment was made of 25 independent variables (epidemiological, comorbidity, functional, clinical and analytical variables) that could influence short-term mortality (at 30 days).
RESULTS: The study included 136 patients, 13 (9.5%) of whom died within 30 days of visiting the ED. MR-proADM is the biomarker with the best area under the curve ROC to predict 30-day mortality (0.864; 95% CI 0.775-0.997; P<.001) with a prognostic cut-off>2.07nmol/l, sensitivity of 77% and specificity of 96%. The qSOFA score≥2 had an area under the curve ROC of 0.763 (95% CI 0.623-0.903; P=.002), sensitivity of 76% and specificity of 75%. The mixed model (MR-proADM plus qSOFA≥2) improved the area under the curve ROC to 0.878 (95% CI 0.749-1; P<.001) with the best prognostic performance with sensitivity of 69% and specificity of 97% CONCLUSIONS: MR-proADM showed the best performance for 30-day mortality prognostic power compared to other biomarkers in elderly patients seen in EDs due to infections. qSOFA score achieves better results than systemic inflammatory response syndrome, and the mixed model (qSOFA≥2 plus MR-proADM>2.07nmol/l) increased the predictive power of qSOFA.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2019 |
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Erschienen: |
2019 |
Enthalten in: |
Zur Gesamtaufnahme - volume:37 |
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Enthalten in: |
Enfermedades infecciosas y microbiologia clinica (English ed.) - 37(2019), 1 vom: 29. Jan., Seite 11-18 |
Sprache: |
Englisch |
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Weiterer Titel: |
Poder pronóstico de mortalidad a corto plazo de los biomarcadores en los ancianos atendidos en Urgencias por infección |
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Beteiligte Personen: |
Julián-Jiménez, Agustín [VerfasserIn] |
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Links: |
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Anmerkungen: |
Date Completed 21.08.2019 Date Revised 21.05.2021 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1016/j.eimc.2017.11.017 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM279527446 |
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245 | 1 | 0 | |a Prognostic power of biomarkers for short-term mortality in the elderly patients seen in Emergency Departments due to infections |
246 | 3 | 3 | |a Poder pronóstico de mortalidad a corto plazo de los biomarcadores en los ancianos atendidos en Urgencias por infección |
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520 | |a Copyright © 2017 Elsevier España, S.L.U. and Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica. All rights reserved. | ||
520 | |a OBJECTIVES: To analyse and compare 30-day mortality prognostic power of several biomarkers (C-reactive protein, procalcitonin, lactate, suPAR and pro-adremomedullin) in elderly patients seen in Emergency Departments (ED) due to infections. Secondly, if these could improve the prognostic accuracy of sepsis criteria (systemic inflammatory response syndrome and quick Sepsis-related Organ Failure Assessment [qSOFA]) | ||
520 | |a METHODS: A prospective, observational, multicentre and analytical study. Patients aged 75 years and older who were treated for infection in the ED of 8 participating hospitals were enrolled consecutively. An assessment was made of 25 independent variables (epidemiological, comorbidity, functional, clinical and analytical variables) that could influence short-term mortality (at 30 days) | ||
520 | |a RESULTS: The study included 136 patients, 13 (9.5%) of whom died within 30 days of visiting the ED. MR-proADM is the biomarker with the best area under the curve ROC to predict 30-day mortality (0.864; 95% CI 0.775-0.997; P<.001) with a prognostic cut-off>2.07nmol/l, sensitivity of 77% and specificity of 96%. The qSOFA score≥2 had an area under the curve ROC of 0.763 (95% CI 0.623-0.903; P=.002), sensitivity of 76% and specificity of 75%. The mixed model (MR-proADM plus qSOFA≥2) improved the area under the curve ROC to 0.878 (95% CI 0.749-1; P<.001) with the best prognostic performance with sensitivity of 69% and specificity of 97% CONCLUSIONS: MR-proADM showed the best performance for 30-day mortality prognostic power compared to other biomarkers in elderly patients seen in EDs due to infections. qSOFA score achieves better results than systemic inflammatory response syndrome, and the mixed model (qSOFA≥2 plus MR-proADM>2.07nmol/l) increased the predictive power of qSOFA | ||
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