Labarere, J. and Schuetz, P. and Renaud, B. and Claessens, Y. E. and Albrich, W. and Mueller, B.. (2012) Validation of a clinical prediction model for early admission to the intensive care unit of patients with pneumonia. Academic Emergency Medicine, 19 (9). pp. 993-1003.
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Official URL: http://edoc.unibas.ch/56817/
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Abstract
OBJECTIVES: The Risk of Early Admission to the Intensive Care Unit (REA-ICU) index is a clinical prediction model that was derived based on 4,593 patients with community-acquired pneumonia (CAP) for predicting early admission to the intensive care unit (ICU; i.e., within 3 days following emergency department [ED] presentation). This study aimed to validate the REA-ICU index in an independent sample. METHODS: The authors retrospectively stratified 850 CAP patients enrolled in a multicenter prospective randomized trial conducted in Switzerland, using the REA-ICU index, alternate clinical prediction models of severe pneumonia (SMART-COP, CURXO-80, and the 2007 IDSA/ATS minor severity criteria), and pneumonia severity assessment tools (the Pneumonia Severity Index [PSI] and CURB-65). Results: The rate of early ICU admission did not differ between the validation and derivation samples within each risk class of the REA-ICU index, ranging from 1.1% to 1.8% in risk class I to 27.1% to 27.6% in risk class IV. The areas under the receiver operating characteristic (ROC) curve were 0.76 (95% confidence interval [CI] = 0.70 to 0.83) and 0.80 (95% CI = 0.77 to 0.83) in the validation and derivation samples, respectively. In the validation sample, the REA-ICU index performed better than the pneumonia severity assessment tools, but failed to demonstrate an accuracy advantage over alternate prediction models in predicting ICU admission. CONCLUSIONS: The REA-ICU index reliably stratifies CAP patients into four categories of increased risk for early ICU admission within 3 days following ED presentation. Further research is warranted to determine whether inflammatory biomarkers may improve the performance of this clinical prediction model.
Faculties and Departments: | 03 Faculty of Medicine > Bereich Medizinische Fächer (Klinik) > Allgemeine innere Medizin AG > Argovia Professur für Medizin (Müller) 03 Faculty of Medicine > Departement Klinische Forschung > Bereich Medizinische Fächer (Klinik) > Allgemeine innere Medizin AG > Argovia Professur für Medizin (Müller) |
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UniBasel Contributors: | Müller, Beat |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | Wiley |
ISSN: | 1069-6563 |
e-ISSN: | 1553-2712 |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Identification Number: |
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Last Modified: | 30 Nov 2017 11:16 |
Deposited On: | 30 Nov 2017 11:16 |
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