Pulmonary embolism (PE) is a life-threatening disease, which accounts for the major type of venous thromboembolism. Currently, there is limited understanding and management for PE. Rivaroxaban is reported to treat patients with PE. However, there is still insufficient evidence on rivaroxaban for the treatment of Chinese patients with acute PE. Thus, this retrospective study investigated the benefits and safety of rivaroxaban for Chinese patients with acute PE.A total of 72 Chinese patient cases with acute PE were analyzed in this study. Of these, 36 cases who received rivaroxaban mono-therapy were assigned to the treatment group, while the remaining 36 cases who received standard therapy were assigned to the control group. The benefits were assessed by the duration of hospital stay, treatment satisfaction, and safety.After treatment, rivaroxaban mono-therapy showed better benefits in decreasing the duration of hospital stay (P < .01), increasing treatment satisfaction (P < .01), and reducing mild bleeding (P = .02) in Chinese patients with acute PE, than standard therapy.The results of this study indicated that rivaroxaban may provide more benefits than the standard therapy for Chinese patients with acute PE. Future studies are still needed to warrant the current results.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021341PMC
http://dx.doi.org/10.1097/MD.0000000000025086DOI Listing

Publication Analysis

Top Keywords

chinese patients
12
patients acute
12
rivaroxaban treatment
8
treatment chinese
8
pulmonary embolism
8
retrospective study
8
cases received
8
rivaroxaban mono-therapy
8
duration hospital
8
hospital stay
8

Similar Publications

Introduction: China implemented a dynamic zero-COVID strategy to curb viral transmission in response to the coronavirus disease 2019 (COVID-19) pandemic. This strategy was designed to inhibit mutation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for COVID-19. This study explores the dynamics of viral evolution under stringent non-pharmaceutical interventions (NPIs) through real-world observations.

View Article and Find Full Text PDF

Background: Fibrosis of the connective tissue in the vaginal wall predominates in pelvic organ prolapse (POP), which is characterized by excessive fibroblast-to-myofibroblast differentiation and abnormal deposition of the extracellular matrix (ECM). Our study aimed to investigate the effect of ECM stiffness on vaginal fibroblasts and to explore the role of methyltransferase 3 (METTL3) in the development of POP.

Methods: Polyacrylamide hydrogels were applied to create an ECM microenvironment with variable stiffness to evaluate the effects of ECM stiffness on the proliferation, differentiation, and expression of ECM components in vaginal fibroblasts.

View Article and Find Full Text PDF

Correlations between spinopelvic parameters and health-related quality of life in degenerative lumbar scoliosis patients before and after long -level fusion surgery.

BMC Musculoskelet Disord

January 2025

Department of Orthopedics, Peking University Third Hospital, No. 49. North Garden Street, Hai Dian District, Beijing, 100191, People's Republic of China.

Background: For degenerative lumbar scoliosis (DLS), prior studies mainly focused on the preoperative relationship between spinopelvic parameters and health-related quality of life (HRQoL), lacking an exhaustive evaluation of the postoperative situation. Therefore, the postoperative parameters most closely bonded with clinical outcomes has not yet been well-defined in DLS patients. The objective of this study was to comprehensively assess the correlation between radiographic parameters and HRQoL before and after surgery, and to identified the most valuable spinopelvic parameters for postoperative curative effect.

View Article and Find Full Text PDF

Background: Drug-drug interactions (DDIs) especially antagonistic ones present significant risks to patient safety, underscoring the urgent need for reliable prediction methods. Recently, substructure-based DDI prediction has garnered much attention due to the dominant influence of functional groups and substructures on drug properties. However, existing approaches face challenges regarding the insufficient interpretability of identified substructures and the isolation of chemical substructures.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!