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Combining Blood-Based Biomarkers to Predict Mortality of Sepsis at Arrival at the Emergency Department

BACKGROUND: Our aim was to determine a useful combination of blood biomarkers that can predict 28-day mortality of sepsis upon arrival at the Emergency Department (ED). MATERIAL/METHODS: Based on Sepsis-3.0, 90 sepsis patients were enrolled and divided into survivor and nonsurvivor groups with day 2...

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Autores principales: Xie, Yinjing, Li, Binbin, Lin, Ying, Shi, Fei, Chen, Weibu, Wu, Wenyuan, Zhang, Wenjia, Fei, Yun, Zou, Shiqing, Yao, Can
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923396/
https://www.ncbi.nlm.nih.gov/pubmed/33630815
http://dx.doi.org/10.12659/MSM.929527
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author Xie, Yinjing
Li, Binbin
Lin, Ying
Shi, Fei
Chen, Weibu
Wu, Wenyuan
Zhang, Wenjia
Fei, Yun
Zou, Shiqing
Yao, Can
author_facet Xie, Yinjing
Li, Binbin
Lin, Ying
Shi, Fei
Chen, Weibu
Wu, Wenyuan
Zhang, Wenjia
Fei, Yun
Zou, Shiqing
Yao, Can
author_sort Xie, Yinjing
collection PubMed
description BACKGROUND: Our aim was to determine a useful combination of blood biomarkers that can predict 28-day mortality of sepsis upon arrival at the Emergency Department (ED). MATERIAL/METHODS: Based on Sepsis-3.0, 90 sepsis patients were enrolled and divided into survivor and nonsurvivor groups with day 28 as the study end point. After comparing the demographic data and clinical characteristics of patients, we evaluated the predictive validity of a combination of markers including interleukin-6 (IL-6), procalcitonin (PCT), and lactate at arrival at the ED. Independent risk factors were found by using univariate and multivariate logistic regression analyses, and the prognostic value of markers was determined by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. RESULTS: There were 67 (74.4%) survivors and 23 (25.6%) nonsurvivors. The levels of IL-6 (survivors vs nonsurvivors: median 205.30 vs 3499.00 pg/mL, P=0.012) and lactate (survivors vs nonsurvivors: median 2.37 vs 5.77 mmol/L, P=0.003) were significantly lower in survivor group compared with the nonsurvivor group. Markers including IL-6, PCT, lactate, and neutrophil-to-white blood cell ratio (NWR) were independent risk factors in predicting 28-day mortality due to sepsis. The combination of these 4 markers provided the best predictive performance for 28-day mortality of patients with sepsis, on arrival at the ED (AUC of 0.823, 95% confidence interval [CI] 0.723–0.924), and its accuracy, specificity, and sensitivity were 74.4% (95% CI 64.0–82.8%), 91% (95% CI 80.9–96.3%), and 65% (95% CI 42.8–82.8%), respectively. CONCLUSIONS: The combination of IL-6, PCT, lactate, and NWR measurements is a potential predictor of 28-day mortality for patients with sepsis, at arrival at the ED. Further research is needed to confirm our findings.
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spelling pubmed-79233962021-03-03 Combining Blood-Based Biomarkers to Predict Mortality of Sepsis at Arrival at the Emergency Department Xie, Yinjing Li, Binbin Lin, Ying Shi, Fei Chen, Weibu Wu, Wenyuan Zhang, Wenjia Fei, Yun Zou, Shiqing Yao, Can Med Sci Monit Database Analysis BACKGROUND: Our aim was to determine a useful combination of blood biomarkers that can predict 28-day mortality of sepsis upon arrival at the Emergency Department (ED). MATERIAL/METHODS: Based on Sepsis-3.0, 90 sepsis patients were enrolled and divided into survivor and nonsurvivor groups with day 28 as the study end point. After comparing the demographic data and clinical characteristics of patients, we evaluated the predictive validity of a combination of markers including interleukin-6 (IL-6), procalcitonin (PCT), and lactate at arrival at the ED. Independent risk factors were found by using univariate and multivariate logistic regression analyses, and the prognostic value of markers was determined by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. RESULTS: There were 67 (74.4%) survivors and 23 (25.6%) nonsurvivors. The levels of IL-6 (survivors vs nonsurvivors: median 205.30 vs 3499.00 pg/mL, P=0.012) and lactate (survivors vs nonsurvivors: median 2.37 vs 5.77 mmol/L, P=0.003) were significantly lower in survivor group compared with the nonsurvivor group. Markers including IL-6, PCT, lactate, and neutrophil-to-white blood cell ratio (NWR) were independent risk factors in predicting 28-day mortality due to sepsis. The combination of these 4 markers provided the best predictive performance for 28-day mortality of patients with sepsis, on arrival at the ED (AUC of 0.823, 95% confidence interval [CI] 0.723–0.924), and its accuracy, specificity, and sensitivity were 74.4% (95% CI 64.0–82.8%), 91% (95% CI 80.9–96.3%), and 65% (95% CI 42.8–82.8%), respectively. CONCLUSIONS: The combination of IL-6, PCT, lactate, and NWR measurements is a potential predictor of 28-day mortality for patients with sepsis, at arrival at the ED. Further research is needed to confirm our findings. International Scientific Literature, Inc. 2021-02-25 /pmc/articles/PMC7923396/ /pubmed/33630815 http://dx.doi.org/10.12659/MSM.929527 Text en © Med Sci Monit, 2021 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Database Analysis
Xie, Yinjing
Li, Binbin
Lin, Ying
Shi, Fei
Chen, Weibu
Wu, Wenyuan
Zhang, Wenjia
Fei, Yun
Zou, Shiqing
Yao, Can
Combining Blood-Based Biomarkers to Predict Mortality of Sepsis at Arrival at the Emergency Department
title Combining Blood-Based Biomarkers to Predict Mortality of Sepsis at Arrival at the Emergency Department
title_full Combining Blood-Based Biomarkers to Predict Mortality of Sepsis at Arrival at the Emergency Department
title_fullStr Combining Blood-Based Biomarkers to Predict Mortality of Sepsis at Arrival at the Emergency Department
title_full_unstemmed Combining Blood-Based Biomarkers to Predict Mortality of Sepsis at Arrival at the Emergency Department
title_short Combining Blood-Based Biomarkers to Predict Mortality of Sepsis at Arrival at the Emergency Department
title_sort combining blood-based biomarkers to predict mortality of sepsis at arrival at the emergency department
topic Database Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923396/
https://www.ncbi.nlm.nih.gov/pubmed/33630815
http://dx.doi.org/10.12659/MSM.929527
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