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Practical-Manual-Scores-Algorithms-Haemostasis-Thrombosis

Practical-Manual-Scores-Algorithms-Haemostasis-Thrombosis

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FeatureGeneva scoresPoints(revised dichotomized score)Points(simplified score)Previous DVT or PE 3 1Heart rate:75-94 bpm≥ 95 bpm3512Surgery or fracture < 1 month 2 1Hemoptysis 2 1Active malignancy 2 1Unilateral lower limb pain 3 1Pain on lower limb deep venous palpationor unilateral oedema4 1Age > 65 1 1Clinical probabilityPE unlikely ≤ 5 ≤ 2PE likely > 5 > 2Deep Vein <strong>Thrombosis</strong> and Pulmonary EmbolismInterpretationThese models are very useful when incorporated into algorithms, to optimizepatient management in clinically suspected PE. Combined with a D-dimertest result below a validated threshold and/or an objective imaging test, a lowclinical probability can safely rule out the presence of PE.References• Ceriani E, Combescure C, Le Gal G, et al. Clinical prediction rules for pulmonaryembolism: a systematic review and meta-analysis. J Thromb Haemost. 2010;8:957-70.• Klok FA, Mos IC, Nijkeuter M, et al. Simplification of the revised Geneva scorefor assessing clinical probability of pulmonary embolism. Arch Intern Med.2008;168:2131-6.• Le Gal G, Righini M, Roy PM, et al. Prediction of Pulmonary Embolism in the EmergencyDepartment: The Revised Geneva Score. Ann Intern Med. 2006;144:165-71.• Lucassen W, Geersing GJ, Erkens PM, et al. Clinical decision rules for excludingpulmonary embolism: a meta-analysis. Ann Int Med. 2011;155:448-60.• Wells PS, Anderson DR, Rodger M, et al. Derivation of a simple clinical model tocategorize patients probability of pulmonary embolism: increasing the models utilitywith the SimpliRED D-dimer. Thromb Haemost. 2000;83:416-20.11

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