Literature DB >> 22978725

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

José Labarère1, Philipp Schuetz, Bertrand Renaud, Yann-Erick Claessens, Werner Albrich, Beat Mueller.   

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.
© 2012 by the Society for Academic Emergency Medicine.

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Year:  2012        PMID: 22978725     DOI: 10.1111/j.1553-2712.2012.01424.x

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  5 in total

1.  How to derive and validate clinical prediction models for use in intensive care medicine.

Authors:  José Labarère; Bertrand Renaud; Renaud Bertrand; Michael J Fine
Journal:  Intensive Care Med       Date:  2014-02-26       Impact factor: 17.440

Review 2.  Community-acquired pneumonia.

Authors:  Elena Prina; Otavio T Ranzani; Antoni Torres
Journal:  Lancet       Date:  2015-08-12       Impact factor: 79.321

3.  Point-of-care application of diaphragmatic ultrasonography in the emergency department for the prediction of development of respiratory failure in community-acquired pneumonia: A pilot study.

Authors:  Sheng-En Chu; Jian-Xun Lu; Shi-Chuan Chang; Kuang-Hung Hsu; Zhong Ning Leonard Goh; Chen-Ken Seak; Joanna Chen-Yeen Seak; Chip-Jin Ng; Chen-June Seak
Journal:  Front Med (Lausanne)       Date:  2022-08-17

Review 4.  Year in review 2012: Critical Care--respiratory infections.

Authors:  Girish B Nair; Michael S Niederman
Journal:  Crit Care       Date:  2013-11-22       Impact factor: 9.097

Review 5.  Hospitalized Patients with Acute Pneumonia.

Authors:  Shaheen Najafi; Christian Sandrock
Journal:  Hosp Med Clin       Date:  2017-09-15
  5 in total

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