Literature DB >> 11033266

Management of patients with suspected deep vein thrombosis in the emergency department: combining use of a clinical diagnosis model with D-dimer testing.

D R Anderson1, P S Wells, I Stiell, B MacLeod, M Simms, L Gray, K S Robinson, J Bormanis, M Mitchell, B Lewandowski, G Flowerdew.   

Abstract

The management of patients presenting to hospital Emergency Departments with suspected deep vein thrombosis is problematic since urgent diagnostic imaging is at times unavailable. We evaluated the accuracy of a rapidly available D-dimer test and the potential of combining D-dimer testing with an explicit clinical model to improve the management of patients with suspected deep vein thrombosis. Two hundred and fourteen patients with suspected deep vein thrombosis presenting to the Emergency Departments of two tertiary care institutions were enrolled in this prospective cohort study. Patients were evaluated by an Emergency Physician who determined the pre-test probability for deep vein thrombosis to be either low, moderate, or high using an explicit clinical model. Patients were managed according to their pre-test probability category by specific algorithms that in all cases included venous ultrasound imaging within 24 h and a 90-day follow-up for the development of thromboembolic complications. Patients also underwent fingerstick SimpliRED(R) whole blood agglutination D-dimer testing; however, D-dimer results did not influence subsequent patient management. D-dimer had a sensitivity of 82.5% and a specificity of 84.9% for the diagnosis of deep vein thrombosis. The observed negative predictive value of D-dimer was 96.9% (95% CI, 93.0% to 99.1%) overall, and 100% (95% CI, 96.3% to 100%) in low probability patients, 94.1% (95% CI, 83.8% to 98.8%) in moderate probability patients, and 86.7% (95% CI, 59.4% to 98.3%) in high probability patients. SimpliRED(R) D-dimer has a high negative predictive value and may be useful in excluding the diagnosis in patients at low pre-test probability for deep vein thrombosis.

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Year:  2000        PMID: 11033266     DOI: 10.1016/s0736-4679(00)00225-0

Source DB:  PubMed          Journal:  J Emerg Med        ISSN: 0736-4679            Impact factor:   1.484


  8 in total

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Review 2.  Review of the evidence on diagnosis of deep venous thrombosis and pulmonary embolism.

Authors:  Jodi B Segal; John Eng; Leonardo J Tamariz; Eric B Bass
Journal:  Ann Fam Med       Date:  2007 Jan-Feb       Impact factor: 5.166

Review 3.  Combined use of rapid D-dimer testing and estimation of clinical probability in the diagnosis of deep vein thrombosis: systematic review.

Authors:  Tonya L Fancher; Richard H White; Richard L Kravitz
Journal:  BMJ       Date:  2004-09-21

Review 4.  Exclusion of deep vein thrombosis using the Wells rule in clinically important subgroups: individual patient data meta-analysis.

Authors:  G J Geersing; N P A Zuithoff; C Kearon; D R Anderson; A J Ten Cate-Hoek; J L Elf; S M Bates; A W Hoes; R A Kraaijenhagen; R Oudega; R E G Schutgens; S M Stevens; S C Woller; P S Wells; K G M Moons
Journal:  BMJ       Date:  2014-03-10

5.  Relationship between disease severity and D-dimer levels measured with two different methods in pulmonary embolism patients.

Authors:  Funda Coskun; Dilber Yilmaz; Ahmet Ursavas; Esra Uzaslan; Ercument Ege
Journal:  Multidiscip Respir Med       Date:  2010-06-30

6.  Painful swollen leg--think beyond deep vein thrombosis or Baker's cyst.

Authors:  Buchi R B Arumilli; Vinayagam Lenin Babu; Ashok S Paul
Journal:  World J Surg Oncol       Date:  2008-01-18       Impact factor: 2.754

7.  The value of D-dimer in the detection of early deep-vein thrombosis after total knee arthroplasty in Asian patients: a cohort study.

Authors:  Chung-Jen Chen; Ching-Jen Wang; Chung-Cheng Huang
Journal:  Thromb J       Date:  2008-05-28

8.  Validation of STA-Liatest D-Di assay for exclusion of pulmonary embolism according to the latest Clinical and Laboratory Standard Institute/Food and Drug Administration guideline. Results of a multicenter management study.

Authors:  Gilles Pernod; Haifeng Wu; Emmanuel de Maistre; John Lazarchick; Jeannine Kassis; Carlos Aguilar; Pascual M Vera; Gualtiero Palareti; Armando D'Angelo
Journal:  Blood Coagul Fibrinolysis       Date:  2017-04       Impact factor: 1.276

  8 in total

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