Enterococcal bloodstream infection. Design and validation of a mortality prediction rule
| Autor: | Félix Alegre, Roser Terradas, Juan Felipe Lucena, E. Mauleón, Santiago Grau, David Conde-Estévez, J. Gómez, J.J. Beunza, J.L. del Pozo, A. Pérez-García, A. Gea, Manuel F. Landecho, Luisa Sorlí, Juan Pablo Horcajada, Ana Huerta |
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| Rok vydání: | 2016 |
| Předmět: |
Male
0301 basic medicine medicine.medical_specialty Enfermedades bacterianas 030106 microbiology Population Enfermedad transmisible Bacteremia Comorbidity Malignancy Risk Assessment Decision Support Techniques 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Risk Factors Internal medicine Bloodstream infection medicine Humans 030212 general & internal medicine Mortality prediction Intensive care medicine education Aged education.field_of_study Bacteria business.industry General Medicine Middle Aged Prognosis medicine.disease Enterococcal bloodstream infection Logistic Models ROC Curve Spain Predictive value of tests Female business Risk assessment Enterococcus |
| Zdroj: | International Journal of Clinical Practice. 70:147-155 |
| ISSN: | 1742-1241 1368-5031 |
| DOI: | 10.1111/ijcp.12754 |
| Popis: | Summary Background To develop a prediction rule to describe the risk of death as a result of enterococcal bloodstream infection. Methods A prediction rule was developed by analysing data collected from 122 patients diagnosed with enterococcal BSI admitted to the Clinica Universidad de Navarra (Pamplona, Spain); and validated by confirming its accuracy with the data of an external population (Hospital del Mar, Barcelona). Results According to this model, independent significant predictors for the risk of death were being diabetic, have received appropriate treatment, severe prognosis of the underlying diseases, have renal failure, received solid organ transplant, malignancy, source of the bloodstream infection and be immunosuppressed. The prediction rule showed a very good calibration (Hosmer–Lemeshow statistic, P = 0.93) and discrimination for both training and testing sets (area under ROC curve = 0.84 and 0.83 respectively). Conclusions The predictive rule was able to predict risk of death as a result of enterococcal bloodstream infection as well as to identify patients, who being below the threshold value, will have a low risk of death with a negative predictive value of 96%. |
| Databáze: | OpenAIRE |
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