Thromb Haemost 2005; 94(01): 200-205
DOI: 10.1160/TH04-12-0829
New Technologies and Diagnostic Tools
Schattauer GmbH

Ruling out deep venous thrombosis in primary care

A simple diagnostic algorithm including D-dimer testing
Ruud Oudega
1   Julius Center for Health Sciences and Primary care, University Medical Center Utrecht, Utrecht, The Netherlands
,
Karel G. M. Moons
1   Julius Center for Health Sciences and Primary care, University Medical Center Utrecht, Utrecht, The Netherlands
,
Arno W. Hoes
1   Julius Center for Health Sciences and Primary care, University Medical Center Utrecht, Utrecht, The Netherlands
› Author Affiliations
Further Information

Publication History

Received 21 December 2005

Accepted after revision 23 April 2005

Publication Date:
05 December 2017 (online)

Summary

In primary care, the physician has to decide which patients have to be referred for further diagnostic work-up. At present, only in 20% to 30% of the referred patients the diagnosis DVT is confirmed. This puts a burden on both patients and health care budgets. The question arises whether the diagnostic work-up and referral of patients suspected of DVT in primary care could be more efficient. A simple diagnostic decision rule developed in primary care is required to safely exclude the presence of DVT in patients suspected of DVT, without the need for referral. In a cross-sectional study, we investigated the data of 1295 consecutive patients consulting their primary care physician with symptoms suggestive of DVT, to develop and validate a simple diagnostic decision rule to safely exclude the presence of DVT. Independent diagnostic indicators of the presence of DVT were male gender, oral contraceptive use, presence of malignancy, recent surgery, absence of leg trauma, vein distension, calf difference and D-dimer test result. Application of this rule could reduce the number of referrals by at least 23% while only 0·7% of the patients with a DVT would not be referred. We conclude that by using eight simple diagnostic indicators from patient history, physical examination and the result of D-dimer testing, it is possible to safely rule out DVT in a large number of patients in primary care, reducing unnecessary patient burden and health care costs.

 
  • References

  • 1 Hirsh J, Lee AY. How we diagnose and treat deep vein thrombosis. Blood 2002; 99: 3102-10.
  • 2 Oudega R, Moons KGM, Hoes AW. Limited value of patient history and physical examination in diagnosing deep vein thrombosis in primary care. Family Practice 2005; 22: 86-91.
  • 3 Anand SS, Wells PS, Hunt D. et al. Does this patient have deep vein thrombosis?. JAMA 1998; 279: 1094-9.
  • 4 Wells PS, Anderson DR, Bormanis J. et al. Value of assessment of pretest probability of deep-vein thrombosis in clinical management. Lancet 1997; 350: 1795-8.
  • 5 Kraaijenhagen RA, Piovella F, Bernardi E. et al. Simplification of the diagnostic management of suspected deep vein thrombosis. Arch Intern Med 2002; 162: 907-11.
  • 6 Perrier A, Desmarais S, Miron MJ. et al. Non-invasive diagnosis of venous thromboembolism in outpatients. Lancet 1999; 353: 190-5.
  • 7 Schutgens REG, Ackermark P, Haas FJLM. et al. Combination of a normal D-dimer concentration and a non-high pretest clinical probability score is a safe strategy to exclude deep venous thrombosis. Circulation 2003; 107: 593-7.
  • 8 Kearon C, Ginsberg JS, Douketis J. et al. Management of suspected deep venous thrombosis in outpatients by using clinical assessment and D-dimer testing. Ann Intern Med 2001; 135: 108-11.
  • 9 Anderson DR, Kovacs MJ, Kovacs G. et al. Combined use of a clinical assessment and D-dimer to improve the management of patients presenting to the emergency department with suspected deep vein thrombosis (the EDITED study). J Thromb Haemost 2003; 1: 645-51.
  • 10 Justice AC, Covinsky KE, Berlin JA. Assessing the generalizability of prognostic information. Ann Intern Med 1999; 130: 515-24.
  • 11 McGinn TG, Guyatt GH, Wyer PC. et al. Users- ‘guides to the medical literature: XXII: how to use articles about clinical decision rules. Evidence-Based Medicine Working Group. JAMA 2000; 284: 79-84.
  • 12 Oostenbrink R, Moons KG, Bleeker SE. et al. Diagnostic research on routine care data: prospects and problems. J Clin Epidemiol 2003; 56: 501-6.
  • 13 Cornuz J, Ghali WA, Hayoz D. et al. Clinical prediction of deep venous thrombosis using two risk assessment methods in combination with rapid quantitative D-dimer testing. Am J Med 2002; 112: 198-203.
  • 14 Oudega R, Moons KG, Hoes AW. Wells rule does not adequately rule out deep vein thrombosis in primary care. Ann Intern Med. 2005 in press.
  • 15 Fraser JD, Anderson DR. Deep venous thrombosis: recent advances and optimal investigation with US. Radiology 1999; 211: 9-24.
  • 16 Hirsh J, Hoak J. Management of deep vein thrombosis and pulmonary embolism. A statement for healthcare professionals. Council on Thrombosis (in consultation with the Council on Cardiovascular Radiology), American Heart Association. Circulation 1996; 93: 2212-45.
  • 17 Schutgens REG, Maas FJLM, Gerritsen WBM. et al. The usefulness of five D-dimer assays in the exclusion of deep venous thrombosis. J Thromb Haemost 2003; 1: 976-81.
  • 18 Van der Graaf F, vd Borne H, vd Kolk M. et al. Exclusion of deep venous thrombosis with D-dimer testing– comparison of 13 D-dimer methods in 99 outpatients suspected of deep venous thrombosis using venography as reference standard. Thromb Haemost 2000; 83: 191-8.
  • 19 Janssen MC, Heebels AE, de Metz M. et al. Reliability of five rapid D-dimer assays compared to ELISA in the exclusion of deep venous thrombosis. Thromb Haemost 1997; 77: 262-6.
  • 20 Harrell FE, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996; 15: 361-87.
  • 21 Steyerberg EW, Harrell jr FE, Borsboom GJ. et al. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 2001; 54: 774-81.
  • 22 Little RJA. Regression with missing X’s: a review. J Am Stat Assoc 1992; 87: 1227-64.
  • 23 Greenland S, Finkle WD. A critical look at methods for handling missing covariates in epidemiologic regression analyses. Am J Epidemiol 1995; 142: 1255-64.
  • 24 Hull R. Diagnostic Algorithms for Deep Vein Thrombosis: Work in Progress. Am J Med 2002; 113: 687-8.
  • 25 Wells PS, Hirsh JH, Anderson DR. et al. Accuracy of clinical assessment of deep-vein thrombosis. Lancet 1995; 345: 1326-30.
  • 26 Wells PS, Hirsh J, Anderson DR. et al. A simple clinical model for the diagnosis of deep-vein thrombosis combined with impedance plethysmography: potential for an improvement in the diagnostic process. J Intern Med 1998; 243: 15-23.
  • 27 Chunial SD, Ginsberg JS. Strategies for the diagnosis of deep vein thrombosis and pulmonary embolism. Thrombosis Research 2002; 97: V33-V48.
  • 28 Birdwell BG, Raskob GE, Whitsett TL. et al. The clinical validity of normal compression ultrasonography in outpatients suspected of having deep venous thrombosis. Ann Intern Med 1998; 128: 1-7.
  • 29 Cogo A, Lensing AWA, Koopman MM. et al. Compression ultrasonography for diagnostic management of patients with clinically suspected deep vein thrombosis: prospective cohort study. BMJ 1998; 316: 17-20.
  • 30 Landefeld CS, McGuire E, Cohen AM. Clinical findings associated with acute proximal deep vein thrombosis: a basis for quantifying clinical judgment. Am J Med 1990; 88: 382-8.
  • 31 Kahn SR, Joseph L, Abenhaim L. et al. Clinical prediction of deep vein thrombosis in patients with leg symptoms. Thromb Haemost 1999; 81: 353-7.
  • 32 Beebe HG, Scissons RP, Salles-Cunha SX. et al. Gender bias in use of venous ultrasonography for diagnosis of deep venous thrombosis. J Vasc Surg 1995; 22: 538-42.