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Article Dans Une Revue Academic Emergency Medicine Année : 2012

Validation of a clinical prediction model for early admission to the intensive care unit of patients with pneumonia.

José Labarère
  • Fonction : Auteur
BCM
Philipp Schuetz
  • Fonction : Auteur
Bertrand Renaud
  • Fonction : Auteur
Werner Albrich
  • Fonction : Auteur
Beat Mueller
  • Fonction : Auteur

Résumé

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.

Dates et versions

hal-00843355 , version 1 (11-07-2013)

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Citer

José Labarère, Philipp Schuetz, Bertrand Renaud, Yann-Erick Claessens, Werner Albrich, et al.. Validation of a clinical prediction model for early admission to the intensive care unit of patients with pneumonia.. Academic Emergency Medicine, 2012, 19 (9), pp.993-1003. ⟨10.1111/j.1553-2712.2012.01424.x⟩. ⟨hal-00843355⟩
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