BIOMARKER-AUGMENTED SEPSIS RECOGNITION FROM SCENE TO ED: A SYSTEMATIC REVIEW OF PARAMEDIC, NURSING, AND LABORATORY INTEGRATION

Abstract Background: Early sepsis recognition in the prehospital/ED pathway is challenging. Beyond vital-sign–based scores, several host-response biomarkers (lactate, procalcitonin, presepsin, suPAR) improve triage and risk stratification. Objective: To synthesize evidence on biomarker-augmented sepsis recognition and risk stratification across the scene-to-ED continuum. Methods: Following PRISMA principles, we analyzed nine included original studies (prehospital/ED) and used 10 additional papers for discussion. Data items were population, setting, index biomarker/tool, comparators, and outcomes (diagnostic/prognostic accuracy, workflow effects, and patient outcomes). Risk of bias and applicability were narratively assessed. Results: Prehospital lactate consistently associated with short-term mortality and improved identification of higher-risk patients, particularly when ≥3 mmol/L, but effects on hard outcomes or bundle adherence were inconsistent. In ED cohorts, presepsin showed strong diagnostic/prognostic discrimination and suPAR improved risk stratification; however, large pragmatic trials found no mortality benefit from routine suPAR use alone. Combining biomarkers with parsimonious clinical scores (NEWS2/qSOFA) generally enhanced discrimination but heterogeneity limits firm recommendations. Conclusions: Biomarkers can sharpen early sepsis risk recognition, with the most reproducible prehospital signal for lactate. Yet, translation to improved patient-level outcomes remains uncertain. Future research should prioritize targeted biomarker-plus-score pathways, workflow integration (pre-alert/antibiotic readiness), and randomized evaluations of patient-centered outcomes.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-23
DOI
https://doi.org/10.5281/zenodo.17276510
Primary Topic
Cell Image Analysis Techniques
Type
article
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article

BIOMARKER-AUGMENTED SEPSIS RECOGNITION FROM SCENE TO ED: A SYSTEMATIC REVIEW OF PARAMEDIC, NURSING, AND LABORATORY INTEGRATION

Zenodo (CERN European Organization for Nuclear Research)
Cell Image Analysis Techniques
article

BIOMARKER-AUGMENTED SEPSIS RECOGNITION FROM SCENE TO ED: A SYSTEMATIC REVIEW OF PARAMEDIC, NURSING, AND LABORATORY INTEGRATION

article en

Abstract

Abstract Background: Early sepsis recognition in the prehospital/ED pathway is challenging. Beyond vital-sign–based scores, several host-response biomarkers (lactate, procalcitonin, presepsin, suPAR) improve triage and risk stratification. Objective: To synthesize evidence on biomarker-augmented sepsis recognition and risk stratification across the scene-to-ED continuum. Methods: Following PRISMA principles, we analyzed nine included original studies (prehospital/ED) and used 10 additional papers for discussion. Data items were population, setting, index biomarker/tool, comparators, and outcomes (diagnostic/prognostic accuracy, workflow effects, and patient outcomes). Risk of bias and applicability were narratively assessed. Results: Prehospital lactate consistently associated with short-term mortality and improved identification of higher-risk patients, particularly when ≥3 mmol/L, but effects on hard outcomes or bundle adherence were inconsistent. In ED cohorts, presepsin showed strong diagnostic/prognostic discrimination and suPAR improved risk stratification; however, large pragmatic trials found no mortality benefit from routine suPAR use alone. Combining biomarkers with parsimonious clinical scores (NEWS2/qSOFA) generally enhanced discrimination but heterogeneity limits firm recommendations. Conclusions: Biomarkers can sharpen early sepsis risk recognition, with the most reproducible prehospital signal for lactate. Yet, translation to improved patient-level outcomes remains uncertain. Future research should prioritize targeted biomarker-plus-score pathways, workflow integration (pre-alert/antibiotic readiness), and randomized evaluations of patient-centered outcomes.

Zenodo (CERN European Organization for Nuclear Research)
King Fahd Armed Forces Hospital (SA), National Guard Military Academy of Ukraine (UA), National Guard Health Affairs (SA)
Gender equality
Openalex Percentile: Top 33%
Cell Image Analysis Techniques
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BIOMARKER-AUGMENTED SEPSIS RECOGNITION FROM SCENE TO ED: A SYSTEMATIC REVIEW OF PARAMEDIC, NURSING, AND LABORATORY INTEGRATION · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS