Quantification of a qualitative sepsis code: laying the foundations for the automation revolution
To quantify a qualitative screening tool for the early recognition of sepsis in children with fever either visiting the emergency department or already admitted to hospital. Prospective observational study including febrile patients under 18 years of age. Sepsis diagnosis was the main outcome. A mul...
| Autores: | , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Fundació Sant Joan de Déu |
| Repositorio: | r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu |
| OAI Identifier: | oai:fsjd.fundanetsuite.com:p22937 |
| Acceso en línea: | https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=22937 |
| Access Level: | acceso abierto |
| Palabra clave: | Sepsis Paediatric Screening Automatic |
| Sumario: | To quantify a qualitative screening tool for the early recognition of sepsis in children with fever either visiting the emergency department or already admitted to hospital. Prospective observational study including febrile patients under 18 years of age. Sepsis diagnosis was the main outcome. A multivariable analysis was performed with 4 clinical variables (heart rate, respiratory rate, disability, and poor skin perfusion). The cut-off points, odds ratio, and coefficients of these variables were identified. The quantified tool was then obtained from the coefficients. The area under the curve (AUC) was obtained and internal validation was performed using k-fold cross-validation. Two hundred sixty-six patients were included. The multivariable regression confirmed the independent association of the 4 variables with the outcome. The quantified screening tool yielded an excellent AUC, 0.825 (95%CI 0.772-0.878, p < 0.001), for sepsis prediction.Conclusion: We successfully quantified a sepsis screening tool, and the resulting model has an excellent discriminatory power. |
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