Evidence map›Paper›PMID 34736478›Full record

ArticleThrombosis journal2021

Potential value of the calibrated automated thrombogram in patients after a cerebral venous sinus thrombosis; an exploratory study.

Myrthe M van der Bruggen, Bram Kremers, Rene van Oerle, Robert J van Oostenbrugge, Hugo Ten Cate

Open access · goldAbstract read
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Article in Thrombosis journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Myrthe M van der BruggenDepartment of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.
Bram KremersDepartment of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.
Rene van OerleDepartment of Biochemistry, Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands.
Robert J van OostenbruggeDepartment of Neurology, Maastricht University Medical Centre, Maastricht, the Netherlands.
Hugo Ten CateDepartment of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands. h.tencate@maastrichtuniversity.nl.ORCID http://orcid.org/0000-0001-7796-4463
Maastricht University Medical Centre · NLMaastricht School of Management · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCerebral venous sinus thrombosis (CVST) is a relatively rare, but potentially lethal condition. In approximately 15% of the patients, the cause of CVST remains unclear. Conventional clotting tests such as prothrombin time and activated partial thromboplastin time are not sensitive enough to detect prothrombotic conditions nor mild haemostatic abnormalities. The calibrated automated thrombogram (CAT) is a physiological function test that might be able to detect minor aberrations in haemostasis. Therefore, we aimed to detect the presence of a prothrombotic state in patients who endured idiopathic CVST with the CAT assay.

methodsFive adult patients with an idiopathic, radiologically proven CVST that had been admitted during the past 3 years were included in this study. The control group consisted of five age/gender matched healthy volunteers. Exclusion criteria were known haematological disorders, malignancy (current/past) or hormonal and anticoagulant therapy recipients. We obtained venous blood samples from all participants following cessation of anticoagulation. Using the CAT assay, we determined lag time, normalized endogenous thrombin potential (ETP), ETP reduction and normalized peak height. In addition, prothrombin concentrations were determined.

resultsWe found no significant differences in lag time (4.7 min [4.5-4.9] vs 5.3 min [3.7-5.7], p = 0.691), normalized ETP (142% [124-148] vs 124% [88-138], p = 0.222), ETP reduction (29% [26-35] vs 28% [24-58], p > 0.999), and normalized peak height (155% [153-175] vs 137 [94-154], p = 0.056) between patients and their age/gender matched controls. In addition, prothrombin concentrations did not significantly differ between patients and controls (120% [105-132] vs 127% [87-139], p > 0.999).

conclusionReasons for absent overt hypercoagulability within this study population may be the small patient sample, long time since the event (e.g. 3 years) and avoidance of acquired risk factors like oral contraception. Given the fact that CVST is a serious condition with a more than negligible risk of venous thrombosis event recurrence, exclusion of clinically relevant hypercoagulability remains a challenging topic to further study at the acute and later time points, particularly in patients with idiopathic CVST.

Identifiers

PMID34736478
PMCPMC8567338
OpenAlexW3192494298

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.