Background: Vein thrombosis (VTE) is a collective term for deep vein thrombosis (DVT) and pulmonary embolism (PE). The aim of this study was to investigate the impact of DVT and its association with health-related quality of life among Greek nurses.
Methods: This is a multicenter descriptive correlation study. The sample of the study was nursing staff working in Greek public hospitals. The diagnosis of DVT was set by Hicks's clinical criteria.
Results: The study included 6304 nurses with a mean age of 47.4 ± 4.9 years. Diagnosed by a physician, DVT had 544 (8.6%) participants. The mean score of the overall dimension of physical health-related quality of life was 68.1 ± 21.9 and the overall score of mental health scale was 53.3 ± 10.4. The odds of DVT occurrence increased dramatically for female gender (CI: 27.76, 95% CI: 8.12-94.89, p = 0.001). Increased odds were found also for advanced age (CI: 1.21, 95% CI: 1.09-1.33, p = 0.001), advanced BMI (CI: 1.06, 95% CI: 1.02-1.10, p = 0.001), and smoking (CI: 2.72, 95% CI: 1.51-4.90, p = 0.001). Moreover, previous pregnancy (CI: 1.66, 95% CI: 1.21-2.29, p = 0.002), work experience (CI: 1.13, 95% CI: 1.03-1.23, p = 0.008), and Rhesus (CI: 2.55, 95% CI: 1.11-5.84, p = 0.027) were found to be risk factors for DVT.
Conclusions: Nurses are potentially a professional group for developing deep vein thrombosis, and given the high incidence found in this study, as well as the lower proportion of nurses who were undiagnosed while meeting the clinical criteria of Hick, it is essential for nurses to check their lower extremities for DVT annually.
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http://dx.doi.org/10.1007/978-3-030-78771-4_5 | DOI Listing |
J 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 PDFAdv Sci (Weinh)
December 2024
Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600, Yishan Road, Shanghai, 200233, P. R. China.
Rapid thrombolysis is very important to reduce complications caused by vascular blockage. A promising approach for improving thrombolysis efficiency is utilizing the permanent magnetically actuated locomotion of nanorobots. However, the thrombolytic drug transportation efficiency is challenged by in-plane rotating locomotion and the insufficient drug penetration limits further improvement of thrombolysis.
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.
View Article and Find Full Text PDFWorld J Surg
December 2024
Division of Acute Care Surgery, University of Southern California, Los Angeles, California, USA.
Background: Trauma and pregnancy are both risk factors for venous thromboembolism (VTE). We hypothesized that pregnant blunt trauma patients would have a higher incidence of VTE complications compared with matched nonpregnant females.
Methods: We conducted a retrospective cohort study using National Trauma Data Bank data from 2017 to 2022.
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