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Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.
Background: Heart failure (HF) is a chronic, progressive condition where the heart cannot pump enough blood to meet the body's needs. In addition to the daily challenges that HF poses, acute exacerbations can lead to costly hospitalizations and increased mortality. High health care costs and the burden of HF have led to the emerging application of new technologies to support people living with HF to stay well while living in the community.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Division of Surgery & Interventional Science, Faculty of Medical Sciences, University College London, London, United Kingdom.
Background: The literature is equivocal as to whether the predicted negative mental health impact of the COVID-19 pandemic came to fruition. Some quantitative studies report increased emotional problems and depression; others report improved mental health and well-being. Qualitative explorations reveal heterogeneity, with themes ranging from feelings of loss to growth and development.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Physical Medicine and Rehabilitation, Korea University Anam Hospital, Seoul, Republic of Korea.
Background: Rehabilomics, or the integration of rehabilitation with genomics, proteomics, metabolomics, and other "-omics" fields, aims to promote personalized approaches to rehabilitation care. Cloud-based rehabilitation offers streamlined patient data management and sharing and could potentially play a significant role in advancing rehabilomics research. This study explored the current status and potential benefits of implementing rehabilomics strategies through cloud-based rehabilitation.
View Article and Find Full Text PDFAdv Skin Wound Care
January 2025
Deborah M. Wendland, PT, DPT, PhD, CPed, is Professor, Mercer University, Department of Physical Therapy, Atlanta, Georgia, USA. Kathryn Panasci, PT, DPT, CWS, is Associate Professor, Department of Rehabilitation Sciences and Assistant Dean for Interprofessional Education, School of Health Professions at Texas Tech University Health Sciences Center, Lubbock, Texas, USA. At Texas State University, Round Rock, Texas, USA, Hope A. Martinez, John S. Mantanona, Melinda G. Powers, and Rachael L. Sausman are physical therapy students and Karen A. Gibbs, PT, PhD, DPT, CWS, is Professor, Department of Physical Therapy.
Objective: To present a full scope of detailed and engaging laboratory activities recommended by physical therapist clinicians and educators from across the US to assist health professions faculty to develop new or improve current integumentary/wound management (IWM) instruction.
Methods: A three-round Delphi survey was conducted to update IWM curriculum recommendations for entry-level doctor of physical therapy education. First-round participants provided ideas for laboratory activities.
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