Publications by authors named "Fuxin Ma"

Negative pressure wound therapy (NPWT) is extensively used in clinical settings to enhance the healing of wounds. Despite its widespread use, the molecular mechanisms driving the efficacy of NPWT have not been fully elucidated. In this study, skin wound-healing models were established, with administration of NPWT.

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Antiplatelet drugs in patients increase the risk of intracranial hemorrhage (ICH), which can seriously affect patients' quality of life and even endanger their lives. Currently, there is no specific score for predicting the risk of ICH caused by antiplatelet drugs. We aimed to identify factors associated with ICH in patients on antiplatelet drugs and to construct and validate a predictive model that would provide a validated tool for the clinic.

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Background: The use of direct oral anticoagulants (DOACs) as an alternative to low-molecular-weight heparin (LMWH) for extended thromboprophylaxis of abdominal/pelvic cancer-related postoperative thromboembolism (VTE) is unclear. We aim to investigate the efficacy and safety of DOACs vs. LMWH in these patients.

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Background/aims: There may be many predictors of anticoagulation-related gastrointestinal bleeding (GIB), but until now, systematic reviews and assessments of the certainty of the evidence have not been published. We conducted a systematic review to identify all risk factors for anticoagulant-associated GIB to inform risk prediction in the management of anticoagulation- related GIB.

Methods: A systematic review and meta-analysis were conducted to search PubMed, EMBASE, Web of Science, and Cochrane Library databases (from inception through January 21, 2022) using the following search terms: anticoagulants, heparin, warfarin, dabigatran, rivaroxaban, apixaban, DOACs, gastrointestinal hemorrhage, risk factors.

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Determinants of thrombotic events remain uncertain in patients with atrial fibrillation treated with direct oral anticoagulants (DOACs). Our aim was to identify risk factors associated with thromboembolism in patients with at atrial fibrillation on DOACs and to construct and externally validate a predictive model that would provide a validated tool for clinical assessment of thromboembolism. In the development cohort, prediction model was built by logistic regression, the area under the curve (AUC), and Nomogram.

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Background: Venous thromboembolism (VTE) is a severe complication in critically ill patients, often resulting in death and long-term disability and is one of the major contributors to the global burden of disease. This study aimed to construct an interpretable machine learning (ML) model for predicting VTE in critically ill patients based on clinical features and laboratory indicators.

Methods: Data for this study were extracted from the eICU Collaborative Research Database (version 2.

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Background: This study aimed to analyze the factors influencing warfarin-related major gastrointestinal bleeding (GIB) and to develop a score that would provide a reference for assessing the risk of major GIB associated with warfarin treatment.

Methods: This was a retrospective analysis of clinical and follow-up data from warfarin-treated patients. Scores were analyzed using logistic regression.

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Background: Direct oral anticoagulants (DOACs) are associated with bleeding. Patients often stop taking DOACs due to non-major bleeding, which may lead to stroke recurrence. We aimed to determine the risk of non-major bleeding using different DOACs to prevent strokes in atrial fibrillation (AF).

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Background: Thrombolysis-related intracranial hemorrhage has a high mortality rate, and many factors can cause intracranial hemorrhage. Until now, systematic reviews and assessments of the certainty of the evidence have not been updated.

Aim: We conducted a systematic review to identify risk factors for thrombolysis-related intracranial hemorrhage.

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Background: Anticoagulant-associated intracranial hemorrhage has a high mortality rate, and many factors can cause intracranial hemorrhage. Until now, systematic reviews and assessments of the certainty of the evidence have not been published.

Methods: We conducted a systematic review to identify risk factors for anticoagulant-associated intracranial hemorrhage.

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Background: Antiplatelet drug-associated intracranial hemorrhage has a high mortality rate, and many factors can cause antiplatelet drug-associated intracranial hemorrhage. Until now, systematic reviews and assessments of the certainty of the evidence have not been published.

Aim: We conducted a systematic review to identify risk factors of antiplatelet drug-associated intracranial hemorrhage.

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Circulating autoantibodies have a close association with autoimmune diseases, which may be seen even in healthy individuals. These are also considered as promising source of new biomarkers in various autoimmune diseases. However, their profile is not completely understood till now.

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Behçet's disease (BD) is a chronic inflammatory disease with multisystem involvement, and it is listed as a rare disease in the United States but is common in the Middle East, China, and Japan. The aim of this study was to identify novel autoantigens in Chinese patients with BD. First, the candidate autoantigens were screened by Western blotting, and the sequences of putative antigens were identified by LC-MALDI-TOF/TOF mass spectrometry.

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