Bacteremia The Hypothesis of the study are the followings: * To demonstrate relevant epidemiologic and clinical changes with potentially impact in the management and prognosis of the patients with bacteremia. * Since the diagnosis and management is heterogeneous between centers, we could identify a scenario to improve. * To identify quality indicators in the management of bacteremia. * To demonstrate that some interventions made by Bacteremia Team pose relevant impact in the prognosis of bacteremia.
Study Type
OBSERVATIONAL
Enrollment
5,320
Public Health Agency Business Hospital de Poniente.
El Ejido, Almería, Spain
General Hospital of Granollers
Granollers, Barcelona, Spain
University Hospital Mútua de Terrasa
Terrassa, Barcelona, Spain
Hospital Punta Europa
Algeciras, Cádiz, Spain
Jerez de la Frontera Hospital
Jerez de la Frontera, Cádiz, Spain
Hospital San Juan de la Cruz
Úbeda, Jaen, Spain
Hospital El Bierzo
Ponferrada, León, Spain
Costa del Sol Hospital
Márbella, Málaga, Spain
University Hospital of Vigo
Vigo, Pontevedra, Spain
University General Hospital of Alicante
Alicante, Spain
...and 19 more locations
Epidemiology and prognostic factors of bacteremia episodes.
* Global incidence and per type of acquisition. * Global etiology and per type of acquisition. * Frequency of multiresistant and emerging microorganism. * Source of bacteremia. * Clinical severity of presentation. * Clinical failure, mortality at day 7, mortality at day 30, recurrence, length of stay and re-admission at hospital.
Time frame: From day 0 to day 30
Clinical management of patients with bacteremia during the episode.
* Antibiotic therapy used during the episodes (empirical and targeted). * Non antibiotic therapy/support therapy used during the episode. * Frequency of focus search and adequate control.
Time frame: From day 0 to day 30
Differences in the management between types of services, wards and hospitals.
Comparison between different services and hospital wards of variables regarding on the management of episodes.
Time frame: From day 0 to day 30
Influence of clinical management in the prognosis.
\- Identifying prognostic factors related with mortality, clinical failure and recurrence.
Time frame: From day 0 to day 30
Developing and validating a predictive model for early and late mortality.
\- Developing and validating a predictive model for mortality based in prognostic factors related with mortality.
Time frame: From day 0 to day 30
Quality indicators in the management of bacteremia.
\- Identifying quality indicators in the management of episodes of bacteremia.
Time frame: From day 0 to day 30
Interventions made by Bacteremia Team.
* Frequency and type of interventions made by Bacteremia Teams. * Impact of these interventions in the management and prognosis of episodes.
Time frame: From day 0 to day 30
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