Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1783658893161791488 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7923396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT xieyinjing combiningbloodbasedbiomarkerstopredictmortalityofsepsisatarrivalattheemergencydepartment AT libinbin combiningbloodbasedbiomarkerstopredictmortalityofsepsisatarrivalattheemergencydepartment AT linying combiningbloodbasedbiomarkerstopredictmortalityofsepsisatarrivalattheemergencydepartment AT shifei combiningbloodbasedbiomarkerstopredictmortalityofsepsisatarrivalattheemergencydepartment AT chenweibu combiningbloodbasedbiomarkerstopredictmortalityofsepsisatarrivalattheemergencydepartment AT wuwenyuan combiningbloodbasedbiomarkerstopredictmortalityofsepsisatarrivalattheemergencydepartment AT zhangwenjia combiningbloodbasedbiomarkerstopredictmortalityofsepsisatarrivalattheemergencydepartment AT feiyun combiningbloodbasedbiomarkerstopredictmortalityofsepsisatarrivalattheemergencydepartment AT zoushiqing combiningbloodbasedbiomarkerstopredictmortalityofsepsisatarrivalattheemergencydepartment AT yaocan combiningbloodbasedbiomarkerstopredictmortalityofsepsisatarrivalattheemergencydepartment |