Prehospital Sepsis Identification and Management

Prehospital sepsis identification and management encompass the strategies and interventions deployed by emergency medical services (EMS) before hospital admission to recognise and treat sepsis at its earliest stages. Early detection hinges on systematic assessment of vital signs, clinical features and, increasingly, point-of-care biomarkers. Standardised screening protocols, such as quick Sequential Organ Failure Assessment (qSOFA) or National Early Warning Score 2 (NEWS2), guide paramedics in stratifying risk and triggering expedited care pathways. Rapid establishment of intravenous access, judicious fluid resuscitation and prehospital administration of broad-spectrum antibiotics have been linked to improved outcomes. Digital decision support tools and machine-learning algorithms are under evaluation for their capacity to integrate clinical and molecular data en route, though challenges remain in balancing sensitivity against specificity. Public health campaigns and focused EMS training programmes aim to elevate sepsis awareness, ensuring that patients with non-specific presentations are not overlooked. Globally, refinements in prehospital sepsis care hold the promise of reducing mortality and organ dysfunction by shortening intra-facility delays in definitive management.

Research from Nature Portfolio

A prospective cohort study in an urban ambulance system examined whether adding molecular immune markers to established clinical screening tools enhances prehospital sepsis prediction. Over 550 adults with suspected infection underwent analysis of a panel of cytokines and inflammatory genes alongside paramedic assessments. While several mediators (including IL-1Ra and TNF) were elevated in confirmed sepsis cases, integration of these markers with clinical parameters did not significantly improve the discriminative performance of existing tools. Machine-learning models based solely on molecular data achieved moderate accuracy, but high collinearity between certain biomarkers and vital signs limited incremental benefit. The findings underscore the heterogeneity of sepsis phenotypes and suggest that targeted stratification strategies may be required to leverage molecular insights in the prehospital environment.

Prehospital Sepsis Identification and Management publication trend

The graph below shows the total number of articles in prehospital sepsis identification and management across all publications each year (not limited to Nature Index journals).

Technical terms

Sepsis: A life-threatening organ dysfunction caused by a dysregulated host response to infection.

Prehospital screening tool: A structured set of clinical criteria applied by EMS to identify patients at risk of sepsis before hospital arrival.

qSOFA (quick Sequential Organ Failure Assessment): A simplified bedside score using altered mentation, low blood pressure and rapid respiratory rate to flag potential sepsis.

NEWS2 (National Early Warning Score 2): A consolidated scoring system based on physiological parameters to detect clinical deterioration, including sepsis.

SIRS (Systemic Inflammatory Response Syndrome): An older set of clinical and laboratory criteria for identifying systemic inflammation that may indicate sepsis.

References

1. Predicting sepsis using a combination of clinical information and molecular immune markers sampled in the ambulance. Scientific Reports (2023).
2. Sepsis incidence, suspicion, prediction and mortality in emergency medical services: a cohort study related to the current international sepsis guideline. Infection (2024).
3. Prehospital intravenous access and fluid resuscitation in severe sepsis: an observational cohort study. Critical Care (2014).
4. Use of prehospital qSOFA in predicting in-hospital mortality in patients with suspected infection: A retrospective cohort study. PLOS ONE (2019).