Purpose: To assess the ability of preoperative plasma fibrinogen and D-dimer as biomarkers to predict survival outcomes in patients with non-muscle-invasive bladder cancer (NMIBC).
Patients And Methods: A total of 206 NMIBC patients receiving transurethral resection of bladder tumor (TURBT) were assessed in our retrospective study. The cutoff values of fibrinogen and D-dimer were determined using receiver operating characteristic curve analysis. Cox regression analyses were adopted to assess the influence of these two parameters on recurrence-free survival (RFS) and progression-free survival (PFS).
Results: The cutoff values of fibrinogen and D-dimer were 3.56 g/L and 0.48 μg/mL, respectively. Kaplan-Meier analysis demonstrated that high fibrinogen and D-dimer levels were significantly related to poor RFS (all P < .001) and PFS (all P < .001). Moreover, patients with elevated fibrinogen levels tended to have high tumor grade (P = .033), advanced pathologic T stage (P < .001), and multiple tumor lesions (P = .019). Significant associations of high D-dimer levels with advanced pathologic T stage (P = .026), large tumor size (P = .012), and multiple tumor lesions (P = .006) were found. In addition, multivariate analysis revealed that plasma fibrinogen and D-dimer were all independent predictive factors for RFS (P = .029 and .001, respectively) and PFS (P = .023 and .003, respectively).
Conclusion: High levels of preoperative plasma fibrinogen and D-dimer may indicate advanced clinicopathologic features and worse prognosis, suggesting that these two coagulation parameters could be used as prognostic biomarkers for NMIBC patients.
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http://dx.doi.org/10.1016/j.clgc.2019.10.025 | DOI Listing |
Arch Orthop Trauma Surg
December 2024
Department of Orthopedic Surgery and Orthopedic Research Institute, Stem Cell and Tissue Engineering Research Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
Purpose: The two-stage exchange revision represents a pivotal strategy in the management of prosthetic joint infections, wherein the judicious timing of reimplantation serves as a crucial determinant for therapeutic success. At present, attempts have been made to utilize predictive models to establish the optimal timing for reimplantation; however, their predictive accuracy remains unsatisfactory. This inadequacy primarily arises from the lack of dependable predictive indicators, which demonstrate inconsistent effectiveness across various studies and occasionally yield contradictory outcomes.
View Article and Find Full Text PDFJ Clin Lab Anal
December 2024
Department of Laboratory Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Background: Thromboelastography (TEG) and coagulation tests can be used to detect hypercoagulability to assess thrombus formation. This study explored the association between TEG and coagulation in evaluating disease severity in elderly patients with lower extremity arteriosclerotic occlusive disease (LEASO), aimed to provide surgical treatment guideline.
Methods: We retrospectively analyzed the clinical characteristics, laboratory biomarkers, TEG and coagulation parameters of 233 elderly LEASO patients treated between 2020 and 2023.
Pleura Peritoneum
December 2024
Faculty of Health, Aarhus University, Aarhus, Denmark.
Objectives: Cancer cells can activate coagulation and inhibit fibrinolysis. The aim was to investigate the association between the burden of peritoneal metastases from colorectal cancer (PM-CRC) and biomarkers reflecting thrombin generation and fibrinolysis.
Methods: A cohort of 55 patients with PM-CRC scheduled for cytoreductive surgery.
Cancer Med
December 2024
Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Background: Venous thromboembolic events (VTEs) are the second-leading cause of death in cancer patients, with an incidence of 5%-17% in lymphoma patients, particularly higher in those with non-Hodgkin lymphoma (NHL). Existing risk assessment models (RAMs) like the Khorana and ThroLy scores have limitations and are inadequately validated for NHL patients. Coagulation markers such as D-dimer, thrombin-antithrombin complex (TAT), and thrombomodulin (TM) show a potential predictive value for cancer-associated VTE but lack extensive research in NHL.
View Article and Find Full Text PDFEur J Med Res
December 2024
Department of Geriatric Respiratory and Critical Care, Anhui Geriatric Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Background: This study aimed to develop predictive models with robust generalization capabilities for assessing the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms.
Methods: Data were collected from two centers and categorized into development and validation cohorts. Using the development cohort, candidate variables were selected via the Recursive Feature Elimination (RFE) method.
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