Background: We investigated the effect of D-dimer levels and efficacy of different antithrombotic therapies according to the baseline D-dimer levels on recurrent stroke in patients with atrial fibrillation (AF)-related stroke and atherosclerosis.
Methods: We enrolled 1441 patients with AF-related stroke and atherosclerosis in this nationwide multicenter study. The primary outcome measure was the occurrence of recurrent ischemic stroke over a 3-year period.
Results: High D-dimer levels (≥2 μg/mL) were significantly associated with higher risk of recurrent ischemic stroke (adjusted hazard ratio (HR), 1.80; 95% confidence interval (CI), 1.13-2.84; = 0.012). The risk of recurrent stroke was similar between the anticoagulant and the antiplatelet groups in all subjects (adjusted HR, 0.78; 95% CI, 0.46-1.32; = 0.369). However, in patients with high D-dimer levels (≥2 μg/mL), risk of recurrent stroke was significantly lower in the anticoagulant group than in the antiplatelet group (adjusted HR, 0.40; 95% CI, 0.18-0.87; = 0.022).
Conclusion: Our findings suggested that baseline D-dimer levels could be used as a risk assessment biomarker of recurrent stroke in patients with AF-related stroke and atherosclerosis. High D-dimer levels would facilitate the identification of patients who are more likely to benefit from anticoagulants to ensure secondary prevention of stroke.
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http://dx.doi.org/10.3390/jcm8091457 | DOI Listing |
Sci Rep
January 2025
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District 100070, Beijing, China.
Deep vein thrombosis (DVT) in patients undergoing endoscopic endonasal surgery remains underexplored, despite its potential impact on postoperative recovery. This study aimed to develop and validate a predictive nomogram for assessing the risk of lower-limb DVT in such patients without chemoprophylaxis. A retrospective analysis was conducted on 935 patients with postoperative lower-limb vein ultrasonography.
View Article and Find Full Text PDFZhonghua Nei Ke Za Zhi
February 2025
Department of Neurology, the Eighth Medical Center of Chinese PLA General Hospital, Beijing100091, China.
Trousseau's syndrome is a thromboembolic disorder associated with malignancies, with cerebral infarction and hemorrhage representing common central nervous system complications in patients with cancer. This report details the diagnosis and treatment of a patient with gastric adenocarcinoma at our institution who concurrently developed cerebral infarction and subarachnoid hemorrhage. We performed a comprehensive literature review in the Wanfang and PubMed databases, searching for relevant studies on Trousseau's syndrome, cerebral embolism, and subarachnoid hemorrhage.
View Article and Find Full Text PDFJ Stroke Cerebrovasc Dis
January 2025
Department of Neurology, First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital. Electronic address:
Objective: High D-dimer levels may increase the likelihood of unfavorable clinical outcomes in patients with acute ischemic stroke. However, the impacts of serum D-dimer levels on outcomes of reperfusion treatment in patients with acute ischemic stroke have not been evaluated. This study aims to assess a possible relationship between serum D-dimer and functional outcomes in stroke patients with endovascular treatment (EVT).
View Article and Find Full Text PDFViruses
January 2025
Laboratório de AIDS & Imunologia Molecular, Instituto Oswaldo Cruz (IOC), FIOCRUZ, Rio de Janeiro 21040-360, Brazil.
Background: Severe COVID-19 presents a variety of clinical manifestations associated with inflammatory profiles. People living with HIV (PLWH) could face a higher risk of hospitalization and mortality from COVID-19, depending on their immunosuppression levels. This study describes inflammatory markers in COVID-19 clinical outcomes with and without HIV infection.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Expert Medical Analysis Group, Institute of Technology, University of Castilla-La Mancha, 16071 Cuenca, Spain.
The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the identification of key biomarkers to differentiate between severe and mild cases. Furthermore, the use of artificial intelligence (AI) and machine learning (ML) to analyze large datasets has been crucial for rapidly identifying relevant biomarkers for disease prognosis, including COVID-19. This approach enhances diagnostics in emergency settings, allowing for more accurate and efficient patient management.
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