A new tool for sepsis screening in the Emergency Department
Objectives: In this study, we developed and evaluated the diagnostic accuracy of the Sepsis Index for early sepsis screening in the Emergency Department (ED). Methods: Sepsis Index is based on the combination of monocyte distribution width (MDW) and mean monocyte volume (MMV). Sepsis Index≥1 was selected to define sepsis. We tested its diagnostic accuracy in an ED population stratified in four groups: controls, Systemic Inflammatory Response Syndrome (SIRS), infection, and sepsis, according to Sepsis-2 criteria. Results: Patients with sepsis displayed higher median Sepsis Index value than patients without sepsis. At the receiver operating characterictis (ROC) curve analysis for the prediction of sepsis, the area under the curve (AUC) of MDW and Sepsis Index were similar: 0.966 (95%CI 0.947–0.984), and 0.964 (95%CI 0.942–0.985), respectively. Sepsis Index showed increased specificity than MDW (94.7 vs. 90.6%), without any decrease in sensitivity (92.0%). Additionally, LR+ increased from 9.8 (MDW) to 17.4 (Sepsis Index), without any substantial change in LR− (respectively 0.09 vs. 0.08). Finally, PPV increased from 0.286 (MDW) to 0.420 (Sepsis Index). Conclusions: Sepsis Index improves the diagnostic accuracy of MDW alone for sepsis screening.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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A new tool for sepsis screening in the Emergency Department ; volume:59 ; number:9 ; year:2021 ; pages:1600-1605 ; extent:06
Clinical chemistry and laboratory medicine ; 59, Heft 9 (2021), 1600-1605 (gesamt 06)
- Urheber
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Agnello, Luisa
Iacona, Alessandro
Lo Sasso, Bruna
Scazzone, Concetta
Pantuso, Michele
Giglio, Rosaria Vincenza
Gambino, Caterina Maria
Ciaccio, Anna Maria
Bivona, Giulia
Vidali, Matteo
Ciaccio, Marcello
- DOI
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10.1515/cclm-2021-0208
- URN
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urn:nbn:de:101:1-2022062013263144701125
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:34 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Agnello, Luisa
- Iacona, Alessandro
- Lo Sasso, Bruna
- Scazzone, Concetta
- Pantuso, Michele
- Giglio, Rosaria Vincenza
- Gambino, Caterina Maria
- Ciaccio, Anna Maria
- Bivona, Giulia
- Vidali, Matteo
- Ciaccio, Marcello
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