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Infection
Article . 2024 . Peer-reviewed
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PubMed Central
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Infection
Article . 2024
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Sepsis incidence, suspicion, prediction and mortality in emergency medical services: a cohort study related to the current international sepsis guideline

Authors: Silke Piedmont; Ludwig Goldhahn; Enno Swart; Bernt-Peter Robra; Carolin Fleischmann-Struzek; Rajan Somasundaram; Wolfgang Bauer;

Sepsis incidence, suspicion, prediction and mortality in emergency medical services: a cohort study related to the current international sepsis guideline

Abstract

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.

Keywords

Male, Adult, Aged, 80 and over, Emergency Medical Services, Adolescent, Research, Incidence, Middle Aged, Cohort Studies, Young Adult, Sepsis, Humans, Adolescent [MeSH] ; Female [MeSH] ; Emergency medical services ; Aged, 80 and over [MeSH] ; Aged [MeSH] ; Adult [MeSH] ; Humans [MeSH] ; Incidence [MeSH] ; Retrospective Studies [MeSH] ; Middle Aged [MeSH] ; Sepsis/mortality [MeSH] ; Cohort Studies [MeSH] ; Mortality ; Male [MeSH] ; Paramedic ; Incidence ; Sepsis/diagnosis [MeSH] ; Sepsis/epidemiology [MeSH] ; Research ; Young Adult [MeSH] ; Sepsis ; Emergency Medical Services/statistics ; Screening, Female, Retrospective Studies, Aged

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Top 10%
Green
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