Background: Pain and fatigue are major clinical manifestations in patients with Ehlers-Danlos Syndrome (EDS). The aim of this study is to measure change of the effects of custom-made foot orthotics on some manifestations related to EDS, such as foot pain, foot functionality, fatigue, and quality of life.
Methods: Thirty-six patients with EDS wore foot orthoses for three months. Foot pain, foot-related disability, foot functionality, fatigue, and quality of life were measured using the 11-point Numeric Rating Scale, the Manchester Foot Pain and Disability Index, the Foot Function Index, the Fatigue Severity Score, and the 12-Item Short Form Health Survey questionnaires, respectively, at the beginning and after 3 months.
Results: Participants demonstrated significantly improved foot pain ( = 0.002), disability related to foot pain ( < 0.001), foot functionality ( = 0.001), fatigue ( < 0.007), and mental health-related quality of life ( = 0.016). The physical health-related quality of life did not show significant changes.
Conclusions: The use of custom-made foot orthoses help in the management of the symptoms by participants. This study could contribute to the foot specialists being considered as an additional member in multidisciplinary teams that are trying to develop an approach for patients with EDS.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068607 | PMC |
http://dx.doi.org/10.3390/ijerph17041359 | DOI Listing |
Pain Ther
January 2025
Department of Medicine, Nephrology Division, University of Verona, Verona, Italy.
Introduction: Pain is one of the most frequently reported symptoms in hemodialyzed (HD) patients, with prevalence rates between 33% and 82%. Risk factors for chronic pain in HD patients are older age, long-lasting dialysis history, several concomitant diseases, malnutrition, and others. However, chronic pain assessment in HD patients is rarely performed by specialists in pain medicine, with relevant consequences in terms of diagnostic and treatment accuracy.
View Article and Find Full Text PDFBMC Musculoskelet Disord
January 2025
Department of Orthopaedics and Traumatology, Faculty of Medicine, Dokuz Eylül University, İzmir, 35340, Turkey.
Background: Menisci, one of the most important anatomical structures of the knee joint, plays a role in load transfer, stability, shock absorption, prevention of articular cartilage degeneration, and proprioception. Type I collagen, the main component of the meniscus, and type II collagen fibers play an important role in the stability of the knee joint. This study aimed to evaluate the effects of Naturagen® 4 Joint product containing type I, II, and III collagen on pain, quality of life, and physical functions in patients with meniscopathy.
View Article and Find Full Text PDFBMC Musculoskelet Disord
January 2025
Department of Exercise Rehabilitation, Faculty of Sport Sciences, Bu-Ali Sina University, Hamedan, Iran.
Background: The patellofemoral joint (PFJ) stress as a primary mechanical stimulus in the patellofemoral pain (PFP) etiology is affected by plantar pressure symmetry. This study evaluated how pain exacerbation affects rear foot eversion and plantar pressure distribution symmetry.
Method: Sixty women with PFP participated in this study.
PM R
January 2025
Department of Physical and Occupational Therapy, Naval Medical Center San Diego, San Diego, California, USA.
Background: Patellofemoral pain (PFP) is a common knee condition in young and active individuals that is managed with highly variable treatment strategies.
Objective: To determine whether the length, number of visits, and content of physical therapy care for patients with PFP differ between a Clinical Practice Guidelines (CPG) adherent program and usual care. Additionally, the percentage of patients reporting clinically important improvements in patient-reported outcomes in each group was evaluated as an exploratory aim.
World J Orthop
December 2024
Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA 02114, United States.
Background: Pes planus (flatfoot) and pes cavus (high arch foot) are common foot deformities, often requiring clinical and radiographic assessment for diagnosis and potential subsequent management. Traditional diagnostic methods, while effective, pose limitations such as cost, radiation exposure, and accessibility, particularly in underserved areas.
Aim: To develop deep learning algorithms that detect and classify such deformities using smartphone cameras.
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