Literature DB >> 30033697

Infection and systemic inflammatory response syndrome in older patients in the emergency department: a 30-day risk model.

Eric Jorge García-Lamberechts1, Francisco Javier Martín-Sánchez1, Agustín Julián-Jiménez2, Ferran Llopis3, Mikel Martínez-Ortiz de Zarate4, María Jesús Arranz-Nieto5, Félix González-Martínez6, Pascual Piñera Salmerón7, Carmen Navarro-Bustos8, Juan González-Del Castillo1.   

Abstract

OBJECTIVES: To build a model to predict 30-day mortality and compare it to prediction based on the Mortality in Emergency Department Sepsis (MEDS) score in patients aged 75 years or older treated for infection and systemic inflammatory response syndrome (SIRS) in the emergency department.
MATERIAL AND METHODS: Prospective analysis of a convenience cohort of patients aged 75 years or older treated for infection and SIRS in 13 Spanish emergency departments in 2013. We recorded demographic variables; comorbidity; risk factors for poor outcome; functional dependence at baseline; site of infection; and hemodynamic, clinical and laboratory findings on start of care.The main outcome variable was 30-day all-cause mortality.
RESULTS: Three hundred seventy-nine patients with a mean (SD) age of 84 (5.8) years were included; 186 (49.,1%) were women, 150 (39.6%) had a high degree of comorbidity, and 113 (34.2%) had a high level of functional dependence. Seventy-nine (20.8%) died within 30 days. The model built by the infection working group (INFURG) of the Spanish Society of Emergency Medicine (SEMES) included the presence of metastasis from a solid tumor (odds ratio [OR], 5.4; 95% CI, 1.6-18.2; P=.006), respiratory insufficiency (OR, 3.02; 95% CI, 1.5-6.0; P=.002), renal insufficiency (OR, 2.4; 95% CI, 1.0-5.5; P=.045), arterial hypertension (OR, 2.4; 95% CI, 1.2-5.0; P=.015), and altered level of consciousness (OR, 2.9; 95% CI, 1.4-5.8; P=.003). The area under the receiver operating characteristic curve of the INFURG-OLDER model was 0.78 (95% CI, 0.72-0.84; P<.001) (vs 0.72 (95% CI, 0.64-0.80; P<.001 for the MEDS model).
CONCLUSION: The INFURG-OLDER model has good predictive ability for 30-day mortality in patients aged 75 years or older who are treated in emergency departments for SIRS.

Entities:  

Keywords:  Anciano; Elderly; Emergency department; Escala pronóstica; Infección; Infection; MEDS; Mortality in Emergency Department Sepsis (MEDS) score; Risk score; Sepsis; Systemic inflammatory response syndrome; Síndrome de respuesta inflamatoria sistémica; Urgencias

Mesh:

Year:  2018        PMID: 30033697

Source DB:  PubMed          Journal:  Emergencias        ISSN: 1137-6821            Impact factor:   3.881


  3 in total

1.  A multidrug-resistant microorganism infection risk prediction model: development and validation in an emergency medicine population.

Authors:  Juan González Del Castillo; Agustín Julián-Jiménez; Julio Javier Gamazo-Del Rio; Eric Jorge García-Lamberechts; Ferrán Llopis-Roca; Josep María Guardiola Tey; Mikel Martínez-Ortiz de Zarate; Carmen Navarro Bustos; Pascual Piñera Salmerón; Jesús Álvarez-Manzanares; María Del Mar Ortega Romero; Martin Ruiz Grinspan; Susana García Gutiérrez; Francisco Javier Martín-Sánchez; Francisco Javier Candel González
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2019-11-13       Impact factor: 3.267

2.  [Development of a predictive model for hospital mortality and re-admission in a cohort of infected patients that require hospitalization].

Authors:  J Villanueva; L Montes-Andujar; O V Baez-Pravia; E J García-Lamberechts; J González Del Castillo; A Ruiz; C Zurdo; J Barberán; J Menéndez; P Cardinal-Fernández
Journal:  Rev Esp Quimioter       Date:  2020-08-05       Impact factor: 1.553

3.  [Strategies for improving the antibiotic treatment prescription in the Emergency Department].

Authors:  E Orviz; P Jerez-Fernández; M Suarez-Robles; C Ramos-Rey; I Armenteros; M Fernández-Revaldería; J González Del Castillo
Journal:  Rev Esp Quimioter       Date:  2020-01-14       Impact factor: 1.553

  3 in total

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