Biomarkers Profile in Provoked Versus Unprovoked Deep Venous Thrombosis.
Isabela Rodrigues TavaresRoberto Augusto CaffaroMaria Fernanda PortugalCamilla Moreira RibeiroViviane Santana da SilvaEmily KrupaSrdjan S NikolovskiKaren Falcão de BrittoAna Cláudia Gomes Pereira PetiscoMaria Cristina MirandaSandra Gomes de Souza SantosMarcela da Silva DouradoPaula Veloso SiqueiraFakiha SiddiquiJawed FareedEduardo RamacciottiPublished in: Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis (2024)
Venous thromboembolism (VTE), including deep venous thrombosis (DVT) and pulmonary embolism (PE), represents a substantial healthcare challenge. Provoked and unprovoked DVT cases carry distinct risks and treatment considerations. Recognizing the limitations of this classification, molecular markers may enhance diagnostic precision and guide anticoagulation therapy duration relying on patient history and risk factors. This preliminary, open-label, prospective cohort study was conducted including 15 patients (10 provoked DVT and 5 unprovoked DVT) and a control group of healthy plasmatic subjects. Plasma levels of 9 biomarkers were measured at diagnosis (baseline, day 0, and D0) and after 30 days (day 30-D30). Patient demographics, clinical data, and biomarker concentrations were analyzed. Serum concentrations of D-dimer, von Willebrand factor, C-reactive protein, and Anti-Xa were elevated in DVT groups at D0 compared to controls. No significant differences were observed between the provoked and unprovoked groups on the day of diagnosis and 30 days later. Over 30 days, the provoked group exhibited significant biomarker changes related to temporal assessment. No significant differences were noted in the biomarker profile between provoked and unprovoked DVT groups. This study is indicative of the concept of individualized thrombosis assessment and subsequent treatment for VTE. Larger cohorts are warranted to validate these findings and further define the most appropriate use of the molecular markers.
Keyphrases
- venous thromboembolism
- pulmonary embolism
- direct oral anticoagulants
- healthcare
- risk factors
- open label
- end stage renal disease
- case report
- inferior vena cava
- clinical trial
- ejection fraction
- chronic kidney disease
- stem cells
- newly diagnosed
- deep learning
- machine learning
- combination therapy
- atrial fibrillation
- prognostic factors
- risk assessment
- radiation therapy
- single molecule
- social media
- artificial intelligence
- climate change
- study protocol