Skip to main content

Advertisement

Log in

The Utility of Quantitative D-Dimer Assay as a Biomarker in the Diagnosis and Exclusion of Cerebral Venous Sinus Thrombosis

  • ORIGINAL ARTICLE
  • Published:
Indian Journal of Hematology and Blood Transfusion Aims and scope Submit manuscript

Abstract

The utility and sensitivity of quantitative D-Dimer assay to rule out the diagnosis of deep vein thrombosis is well established. We extrapolated this principle to evaluate the utility of D-Dimer assay in exclusion of cerebral venous sinus thrombosis (CVST). As advanced imaging modalities required for the diagnosis of CVST might not be available everywhere, it is important to have a sensitive biomarker and a clinical decision rule which can assist in the diagnosis. Patients undergoing CT/MR Venography of the brain with the suspicion of CVST were enrolled. Quantitative D-Dimer assay was performed in those who had CVST on CT/MR Venography and was compared with those who did not. A Clinical decision rule for the diagnosis of CVST was formulated using logistic regression analysis. Receiver operating characteristic analysis evaluating the diagnostic accuracy of D Dimer for patients with CVST as compared to those who did not revealed an AUROC of 0.694. D-Dimer levels of < 300 ng/mL had a sensitivity of 90% for the exclusion of CVST. After logistic regression analysis, a clinical decision rule with a total score of 16 and individual components of Female gender (2 points), Headache (7 points), D-Dimer levels of ≥ 792 ng/mL (7 points) was proposed. D-Dimer had a poor diagnostic accuracy for differentiation of patients who had CVST from those who did not, however, had a high sensitivity at values < 300 ng/mL. The proposed clinical decision rule with a score of ≥ 9 had a good diagnostic accuracy in prediction of CVST (AUROC = 0.809).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data Availability

This manuscript is available as an open access pre-print at medRxiv at: https://www.medrxiv.org/content/10.1101/2022.12.21.22283814v1. DOI—https://doi.org/10.1101/2022.12.21.22283814

References

  1. Dash D, Prasad K, Joseph L (2015) Cerebral venous thrombosis: an Indian perspective. Neurol India 63(3):318–328

    Article  PubMed  Google Scholar 

  2. Ferro JM, Canhão P (2014) Cerebral venous sinus thrombosis: update on diagnosis and management. Curr Cardiol Rep 16(9):523

    Article  PubMed  Google Scholar 

  3. Bansal BC, Gupta RR, Prakash C (1980) Stroke during pregnancy and puerperium in young females below the age of 40 years as a result of cerebral venous/venous sinus thrombosis. Jpn Heart J 21:171–173

    Article  CAS  PubMed  Google Scholar 

  4. Banerjee AK, Varma M, Vasista RK, Chopra JS (1989) Cerebrovascular disease in north-west India: a study of necropsy material. J Neurol Neurosurg Psychiatry 52:512–515

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Stam J (2005) Thrombosis of the cerebral veins and sinuses. N Engl J Med 352:1791–1798

    Article  CAS  PubMed  Google Scholar 

  6. Chiewvit P, Piyapittayanan S, Poungvarin N (2011) Cerebral venous thrombosis: diagnosis dilemma. Neurol Int 3(3):13

    Article  Google Scholar 

  7. Cucchiara B, Messe S, Taylor R, Clarke J, Pollak E (2005) Utility of D-dimer in the diagnosis of cerebral venous sinus thrombosis. J Thromb Haemost 3:387–389

    Article  CAS  PubMed  Google Scholar 

  8. Narayan D, Kaul S, Ravishankar K, Suryaprabha T, Bandaru VCSS, Mridula KR et al (2012) Risk factors, clinical profile, and long-term outcome of 428 patients of cerebral sinus venous thrombosis. Neurol India 60(2):154–159

    Article  PubMed  Google Scholar 

  9. Linkins L, Lapner ST (2017) Review of D-dimer testing : good, Bad, and Ugly. Int J Lab Hematol 39(Suppl 1):98–103

    Article  PubMed  Google Scholar 

  10. FennBuderer NM (1996) Statistical methodology: incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Acad Emerg Med 3(9):895–900

    Article  Google Scholar 

  11. Leys D, Cordonnier C (2008) Cerebral venous thrombosis: update on clinical manifestations, diagnosis and management. Ann Indian Acad Neurol 11

  12. Ferro JM, Canhão P, Stam J, Bousser MG, Barinagarrementeria F (2004) Prognosis of cerebral vein and Dural sinus thrombosis: results of the international study on cerebral vein and Dural sinus thrombosis (ISCVT). Stroke 35(3):664–670

    Article  PubMed  Google Scholar 

  13. Zuurbier SM, Arnold M, Middeldorp S, Broeg-Morvay A, Silvis SM, Heldner MR et al (2016) Risk of cerebral venous thrombosis in obese women. JAMA Neurol 73(5):579–584

    Article  PubMed  Google Scholar 

  14. Kalita J, Singh VK, Misra UK (2020) A study of hyperhomocysteinemia in cerebral venous thrombosis. Indian J Med Res 152:584–594

    Article  PubMed  PubMed Central  Google Scholar 

  15. Pai N, Ghosh K, Shetty S (2013) Hereditary thrombophilia in cerebral venous thrombosis: a study from India. Blood Coagul Fibrinolysis 24(5):540–543

    Article  PubMed  Google Scholar 

  16. Sahni D et al (2020) 53rd Annual Report, PGIMER

  17. Keane S, Gallagher A, Ackroyd S et al (2002) Cerebral venous thrombosis during diabetic ketoacidosis. Archiv Dis Child 86:204–205

    Article  CAS  Google Scholar 

  18. Pomp ER, le Cessie S, Rosendaal FR, Doggen CJ (2007) Risk of venous thrombosis: obesity and its joint effect with oral contraceptive use and prothrombotic mutations. Br J Haematol 139(2):289–329

    Article  PubMed  Google Scholar 

  19. Ferro JM, Aguiar de Sousa D (2019) Cerebral venous thrombosis: an update. Curr Neurol Neurosci Rep 19(10):74

    Article  PubMed  Google Scholar 

  20. Wall M, George D (1987) Visual loss in pseudotumor cerebri: incidence and defects related to visual field strategy. Arch Neurol 44(2):170–175

    Article  CAS  PubMed  Google Scholar 

  21. Ferro JM, Bousser MG, Canhão P, Coutinho JM, Crassard I, Dentali F et al (2017) European stroke organization guideline for the diagnosis and treatment of cerebral venous thrombosis endorsed by the european academy of neurology. Eur Stroke J 2(3):195–221

    Article  PubMed  PubMed Central  Google Scholar 

  22. Couturaud F, Kearon C, Bates SM, Ginsberg JS (2002) Decrease in sensitivity of D-dimer for acute venous thromboembolism after starting anticoagulant therapy. Blood Coagul Fibrinolysis 13(3):241–246

    Article  CAS  PubMed  Google Scholar 

  23. Caplan LR (2016) Caplan’s Stroke, 5th edn. Cambridge University Press, United Kingdom

    Book  Google Scholar 

  24. Fernandes CJ, Morinaga LTK, Alves JL Jr, Castro MA, Calderaro D, Jardim CVP, Souza R (2019) Cancer- associated thrombosis: the when, how and why. Eur Respir Rev 28(151):180119

    Article  PubMed  PubMed Central  Google Scholar 

  25. Alons IME, Jellema K, Wermer MJH, Algra A (2015) D DIMER for the exclusion of cerebral venous thrombosis: a meta-analysis of low risk patients with isolated headache. BMC Neurol 15(1):1–7

    Article  CAS  Google Scholar 

  26. Smith E, Kumar V (2018) BET 1: does a normal D-dimer rule out cerebral venous sinus thrombosis (CVST). Emergency Medicine Journal 2018

  27. Meng R, Wang X, Hussain M, Dornbos D 3rd, Meng L, Liu Y, Wu Y, Ning M, Ferdinando SB, Lo EH, Ding Y, Ji X (2014) Evaluation of plasma D-dimer plus fibrinogen in predicting acute CVST. Int J Stroke 9(2):166–173

    Article  PubMed  Google Scholar 

  28. Tardy B et al (2002) D-Dimer levels in patients with suspected acute cerebral venous thrombosis. Am j Med 113:238–241

    Article  PubMed  Google Scholar 

  29. Heldner MR, Zuurbier SM, Li B, Von Martial R, Meijers JCM, Zimmermann R, Volbers B, Jung S, El-Koussy M, Fischer U, Kohler HP, Schroeder V, Coutinho JM, Arnold M (2020) Prediction of cerebral venous thrombosis with a new clinical score and D-dimer levels. Neurology 95(7):e898–e909

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge the help provided by the coagulation laboratory staff, Mr. Chanderhans and Ms. Anita Kler. We would also like to extend our gratitude to Junior administrative assistant, Mr. Ajay Kumar for his input in statistical analysis.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Atul Saroch.

Ethics declarations

Conflict of interest

The authors declare no competing interests to declare.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Soni, D., Pannu, A.K., Saroch, A. et al. The Utility of Quantitative D-Dimer Assay as a Biomarker in the Diagnosis and Exclusion of Cerebral Venous Sinus Thrombosis. Indian J Hematol Blood Transfus 40, 122–129 (2024). https://doi.org/10.1007/s12288-023-01677-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12288-023-01677-8

Keywords

Navigation