[Prognostic utility of the qSOFA scale in patients admitted to an Internal Medicine service due to infectious diseases].

Autor: Pérez Catalán I; Hospital General Universitario de Castellón, España., Roig Martí C; Hospital General Universitario de Castellón, España., Cubides Montenegro Á; Hospital General Universitario de Castellón, España., Cardenal Álvarez A; Hospital General Universitario de Castellón, España., Guerrero Jiménez F; Hospital General Universitario de Castellón, España., Albiol Viñals P; Hospital Clínico de Valencia, España., Usó Blasco J; Servicio de Urgencia, España.
Jazyk: Spanish; Castilian
Zdroj: Revista chilena de infectologia : organo oficial de la Sociedad Chilena de Infectologia [Rev Chilena Infectol] 2021 Feb; Vol. 38 (1), pp. 31-36.
DOI: 10.4067/S0716-10182021000100031
Abstrakt: Background: Sepsis is a serious entity. Diagnosis and early treatment is important for the prognosis.
Aim: To analyze the prognostic utility of the qSOFA scale as a predictor of mortality in patients admitted by infection in an Internal Medicine Service and describe its demographic characteristics and possible association with mortalilty.
Methods: Descriptive and cross-sectional study of patients admitted with diagnosis of acute infection at the General Hospital of Castellon (Spain) from November 2017 to February 2018.
Inclusion Criteria: patients admitted on suspicion of an infectious process. Main dependent variable: mortality. Independent main variable: qSOFA scale. Secondary variables: time until the first medical evaluation and the start of empirical antibiotic therapy, demographic characteristics of the patient, analytics and evolutional.
Results: A total of 311 patients were analyzed, 145 men with an average age of 78 (DE 16,23). Seventy five presented qSOFA ≥ 2. Higher mortality was observed in those patients with qSOFA ≥ 2 (36% vs 11%, p = 0.00).
Conclusion: In patients admitted with infectious diseases, a qSOFA value > = 2 was associated with higher mortality. Future studies are required to verify its potential diagnostic utility.
Databáze: MEDLINE