Background And Purpose: Studies have shown that a high proportion of patients undergoing MRI examinations experience anxiety and distress which may compromise image quality and successful data acquisition. Research on fMRI related anxiety is limited as to date, therefore, the purpose of this study was to assess the changes in anxiety as well as to examine its interactions with the implementation of a dedicated patient preparation phase prior to the examination.
Methods: An fMRI examination consisting of six paradigms was performed on nine female and nine male healthy volunteers. Prior to the examination, the volunteers were subject to an extensive patient preparation phase including the professional support of a psychologist. The volunteers were subject to the State Trait Anxiety Inventory (STAI) pre and post fMRI. Blood pressure and heart rate were also measured pre and post fMRI examination.
Results: A high level of trait and state anxiety was observed (STAI-T: 41.67 +/- 8.96; STAI-S: 34.78 +/- 9.79) prior to the examination. The level of state anxiety decreased significantly following the examination (STAI-S: 28.83 +/- 4.99, p<0.01). Correlation between the volunteers level of anxiety prior to the fMRI scan and the volume of the activation areas was observed in the fingertapping (r=0.656; 0.561) and word generation (r=0.471) paradigms.
Conclusion: The results of this study support the contribution of a supportive patient preparation phase inclusive of professional guidance to help reduce the volunteers' level of distress and anxiety. These results encourage the study to be extended to clinical patients.
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J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
View Article and Find Full Text PDFJBJS Case Connect
January 2025
Department of Orthopaedics, Mass General Brigham, Boston, Massachusetts.
Case: A 51-year-old male polytrauma patient presented with bilateral calcaneus fractures after a fall. This report describes treatment of his right comminuted Sanders IV calcaneus fracture with percutaneous open reduction internal fixation (ORIF) and minimally invasive surgery (MIS) primary subtalar fusion to restore alignment and preserve soft tissue.
Conclusion: Unlike traditional open approaches, which are prone to wound complications due to larger incisions, our approach of maintaining fracture alignment during joint preparation using an MIS burr for acute posttrauma subtalar arthrodesis and percutaneous ORIF appears to have reduced these risks, resulting in successful radiological healing and functional recovery at 1-year follow-up.
Background: With the increasing availability and use of digital tools such as virtual reality in medical education, there is a need to evaluate their impact on clinical performance and decision-making among healthcare professionals. The Trauma SimVR study is investigating the efficacy of virtual reality training in the context of traumatic in-hospital cardiac arrest.
Methods And Analysis: This study protocol (clinicaltrials.
PLoS One
January 2025
Glycologix, Inc., 100 Cummings Center, Beverly, Massachusetts, United States of America.
Chemical modification of naturally derived glycosaminoglycans (GAGs) expands their potential utility for applications in soft tissue repair and regenerative medicine. Here we report the preparation of a novel crosslinked chondroitin sulfate (~200 to 2000 kilodaltons) that is both soluble in aqueous solution and microfilterable. We refer to these materials as "SuperGAGs.
View Article and Find Full Text PDFBackground: Infection control in intensive care units is important for both patients' quality of life and institutions.
Aim: This study was conducted to evaluate the effect of a nurse-driven algorithm in preventing central catheter-related bloodstream infections in intensive care units.
Methods: This intervention research was implemented in a training and research hospital in Turkey between July 1, 2021, and December 31, 2021.
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