Background: Deep vein thrombosis represents a threat to public health and a heavy economic burden to society, and often occurs as a complication or cause of death in bedridden patients. How to prevent deep vein thrombosis is a general concern in clinical practice. However, it remains uncertain whether the risk factors for deep vein thrombosis would be affected by different bed-rest durations. Solving this issue will be invaluable for the provision of more rational medical care to prevent deep vein thrombosis.
Objective: To explore whether risk factors for deep vein thrombosis are affected by bed-rest durations and to identify different risk factors in groups with different bed-rest durations.
Design: A retrospective multicenter case-control study.
Settings And Participants: This multicenter study was conducted in wards with high rates of bed rest in 25 general hospitals in China. Participants were bedridden patients from these wards.
Methods: Bedridden patients were identified from the research database of bedridden patients' major immobility complications. These data were collected from prospective descriptive studies by a standardized web-based online case report form. Cases were defined as bedridden patients who suffered deep vein thrombosis during hospitalization (n=186). Each case was matched with three controls, bedridden patients who did not suffer deep vein thrombosis in the same center with the same bed-rest duration (n=558). Descriptive statistics, univariate analysis, and multivariate conditional logistic regression models were employed.
Results: Among 23,985 patients, the overall incidence of deep vein thrombosis during hospitalization was 1.0%. Multivariate analysis showed that for patients with bed-rest duration of 4 weeks or less, older age (odds ratio [OR] =1.027, 95% confidence interval [CI] 1.013-1.041) and being in a surgical department (OR=2.527, 95% CI 1.541-4.144) were significantly associated with increased risk of deep vein thrombosis. Female sex (OR=4.270, 95% CI 1.227-14.862), smoking (OR=10.860, 95% CI 2.130-55.370), and special treatment (OR=3.455, 95% CI 1.006-11.869) were independent factors predicting deep vein thrombosis for patients with bed-rest durations from 5 to 8 weeks. For those with bed-rest durations from 9 to 13 weeks, Charlson Comorbidity Index (OR=1.612, 95% CI 1.090-2.385) was the only independent risk factor for deep vein thrombosis.
Conclusions: Risk factors for deep vein thrombosis varied among patients with different bed-rest durations. This finding is helpful for nurses to increase their awareness of prevention of deep vein thrombosis in patients with different bed-rest durations, and lays a more solid foundation for clinical decision making.
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http://dx.doi.org/10.1016/j.ijnurstu.2020.103825 | DOI Listing |
J Vasc Interv Radiol
December 2024
Department of Vascular Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China; Vascular Center of Shanghai JiaoTong University, Shanghai, China. Electronic address:
Purpose: This study evaluated whether endovascular therapy (ET) improved early symptom relief and decreased the incidence of moderate-to-severe post-thrombotic syndrome (PTS) compared to anticoagulation alone in patients with subacute (15-28 days) iliofemoral deep vein thrombosis (DVT).
Materials And Methods: Consecutive patients with subacute iliofemoral DVT from January 2020 to June 2022 were identified. A total of 86 patients were categorized to treatment with ET alongside anticoagulation (endovascular group, n = 49) or anticoagulation alone (anticoagulation group, n = 37).
J Vasc Surg Venous Lymphat Disord
December 2024
Department of Surgery, University of Toronto, Canada; Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, Canada; Institute of Medical Science, University of Toronto, Canada; Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Canada; Department of Surgery, King Faisal Specialist Hospital and Research Center, Saudi Arabia. Electronic address:
Objective: Varicose vein ablation is generally indicated in patients with active/healed venous ulcers. However, patient selection for intervention in individuals without venous ulcers is less clear. Tools that predict lack of clinical improvement (LCI) following vein ablation may help guide clinical decision-making but remain limited.
View Article and Find Full Text PDFJ Am Med Inform Assoc
December 2024
AI for Health Institute, Washington University in St Louis, St Louis, MO 63130, United States.
Objective: Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the effectiveness of predicting postoperative complications using a novel surgical Variational Autoencoder (surgVAE) that uncovers intrinsic patterns via cross-task and cross-cohort presentation learning.
View Article and Find Full Text PDFJpn J Radiol
December 2024
Department of Radiology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Brush sign (BS) was first reported as prominent hypointensity of deep medullary veins and subependymal veins on T2*-weighted images at 3 T MRI in patients with acute stroke in the territory of the middle cerebral artery. Subsequently, BS in central nervous system (CNS) diseases such as moyamoya disease, cerebral venous thrombosis, and Sturge-Weber syndrome was also described on susceptibility-weighted imaging (SWI), and the clinical implications of BS were discussed. The purpose of this review is to demonstrate BS on SWI in various CNS diseases and its mechanisms in the above-mentioned diseases.
View Article and Find Full Text PDFSci Rep
December 2024
School of Electronics Engineering, Vellore Institute of Technology, Vellore, 632014, Tamilnadu, India.
A new era for diagnosing and treating Deep Vein Thrombosis (DVT) relies on precise segmentation from medical images. Our research introduces a novel algorithm, the Modified-Net architecture, which integrates a broad spectrum of architectural components tailored to detect the intricate patterns and variances in DVT imaging data. Our work integrates advanced components such as dilated convolutions for larger receptive fields, spatial pyramid pooling for context, residual and inception blocks for multiscale feature extraction, and attention mechanisms for highlighting key features.
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