Diagnosis: Use of Clinical Probability Algorithms

被引：18
作者：
Gandara, Esteban [1 ,2 ,3 ]
Wells, Philip S. [1 ,2 ,3 ]
机构：
[1] Ottawa Hosp, Dept Med, Div Hematol, Thrombosis Program, Ottawa, ON K1H 8L6, Canada
[2] Univ Ottawa, Ottawa, ON, Canada
[3] Ottawa Hlth Res Inst, Clin Epidemiol Program, Ottawa, ON, Canada
来源：
CLINICS IN CHEST MEDICINE | 2010年 / 31卷 / 04期
关键词：
Pulmonary embolism; Diagnosis; D-dimer; Outcome assessment; SUSPECTED PULMONARY-EMBOLISM; DEEP-VEIN THROMBOSIS; DEAD-SPACE MEASUREMENT; D-DIMER ASSAY; PRETEST PROBABILITY; EMERGENCY-DEPARTMENT; COMPUTED-TOMOGRAPHY; RISK-FACTORS; VENOUS THROMBOEMBOLISM; BEDSIDE TESTS;
D O I：
10.1016/j.ccm.2010.07.002
中图分类号：
R56 [呼吸系及胸部疾病];
学科分类号：
摘要：
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.
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收藏
页码：629 / +
页数：12
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