Diagnosis: Use of Clinical Probability Algorithms - 05/08/11
Doi : 10.1016/j.ccm.2010.07.002
Esteban Gandara, MD a, b, Philip S. Wells, MD, MSc a, b, ⁎ 
a Thrombosis Program, Department of Medicine, Division of Hematology, The Ottawa Hospital and The University of Ottawa, Ottawa, Ontario, Canada
b Clinical Epidemiology Program, Ottawa Health Research Institute, Ottawa, Ontario, Canada
Corresponding author. The Ottawa Hospital, General Campus LM 12, Box 206, 501 Smyth Road, Ottawa, Ontario K1H 8L6, Canada.Résumé |
Evidence suggests that patients with suspected pulmonary embolism are managed better with a diagnostic strategy that includes clinical pretest probability assessment, D-dimer test, and/or imaging. Several clinical prediction rules have been described in the literature during the last decade. This review focuses on the role of clinical prediction rules in the diagnostic process and their clinical application into diagnostic algorithms.
Le texte complet de cet article est disponible en PDF.Keywords : Pulmonary embolism, Diagnosis, D-dimer, Outcome assessment
Plan
© 2010
Publié par Elsevier Masson SAS.
Vol 31 - N° 4
P. 629-639 - décembre 2010 Retour au numéro
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