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Sepsis incidence, suspicion, prediction and mortality in emergency medical services: a cohort study related to the current international sepsis guideline.
- Source :
- Infection; Aug2024, Vol. 52 Issue 4, p1325-1335, 11p
- Publication Year :
- 2024
-
Abstract
- Purpose: Sepsis suspicion by Emergency Medical Services (EMS) is associated with improved patient outcomes. This study assessed sepsis incidence and recognition by EMS and analyzed which of the screening tools recommended by the Surviving Sepsis Campaign best facilitates sepsis prediction. Methods: Retrospective cohort study of claims data from health insurances (n = 221,429 EMS cases), and paramedics' and emergency physicians' EMS documentation (n = 110,419); analyzed outcomes were: sepsis incidence and case fatality compared to stroke and myocardial infarction, the extent of documentation for screening-relevant variables and sepsis suspicion, tools' intersections for screening positive in identical EMS cases and their predictive ability for an inpatient sepsis diagnosis. Results: Incidence of sepsis (1.6%) was similar to myocardial infarction (2.6%) and stroke (2.7%); however, 30-day case fatality rate was almost threefold higher (31.7% vs. 13.4%; 11.8%). Complete vital sign documentation was achieved in 8.2% of all cases. Paramedics never, emergency physicians rarely (0.1%) documented a sepsis suspicion, respectively septic shock. NEWS2 had the highest sensitivity (73.1%; Specificity:81.6%) compared to qSOFA (23.1%; Sp:96.6%), SIRS (28.2%; Sp:94.3%) and MEWS (48.7%; Sp:88.1%). Depending on the tool, 3.7% to 19.4% of all cases screened positive; only 0.8% in all tools simultaneously. Conclusion: Incidence and mortality underline the need for better sepsis awareness, documentation of vital signs and use of screening tools. Guidelines may omit MEWS and SIRS as recommendations for prehospital providers since they were inferior in all accuracy measures. Though no tool performed ideally, NEWS2 qualifies as the best tool to predict the highest proportion of septic patients and to rule out cases that are likely non-septic. [ABSTRACT FROM AUTHOR]
- Subjects :
- DOCUMENTATION
MYOCARDIAL infarction
HEALTH literacy
PEARSON correlation (Statistics)
PREDICTION models
DATA analysis
EMERGENCY medical technicians
EMERGENCY medical services
RETROSPECTIVE studies
DESCRIPTIVE statistics
CHI-squared test
LONGITUDINAL method
SEPSIS
COMPARATIVE studies
DATA analysis software
PREDICTIVE validity
SENSITIVITY & specificity (Statistics)
Subjects
Details
- Language :
- English
- ISSN :
- 03008126
- Volume :
- 52
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Infection
- Publication Type :
- Academic Journal
- Accession number :
- 178774634
- Full Text :
- https://doi.org/10.1007/s15010-024-02181-5