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Cheng HY, Liang CW, Lee YH, Vitoonpong T, Liao CD, Huang SW. Effects of the combination of various pharmacological treatments and exercise on knee osteoarthritis: a systematic review and network meta-analysis. EFORT Open Rev 2024; 9:668-675. [PMID: 38949167 PMCID: PMC11297400 DOI: 10.1530/eor-23-0136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/02/2024] Open
Abstract
Purpose The combination of pharmacological and non-pharmacological interventions is strongly recommended by current guidelines for knee osteoarthritis. However, few systematic reviews have validated their combined efficacy. In this study, we investigated the effects of the combination of pharmacological agents and exercise on knee osteoarthritis. Methods Randomized controlled trials that investigated the efficacy of pharmacological agents combined with exercise for knee osteoarthritis were searched in PubMed, Embase, and Cochrane Library up to February 2024. The network meta-analysis was performed within the frequentist framework. Standardized mean difference (SMD) with 95% CI was estimated for pain and function. Grading of recommendations, assessment, development, and evaluations were used to evaluate the certainty of evidence. Results In total, 71 studies were included. The combination therapy outperformed pharmacological or exercise therapy alone. Among the various pharmacological agents combined with exercise, mesenchymal stem cell injection was ranked the best for short-term pain reduction (SMD: -1.53, 95% CI: -1.92 to -1.13, high certainty), followed by botulinum toxin A, dextrose, and platelet-rich plasma. For long-term pain relief, dextrose prolotherapy was the optimal (SMD: -1.76, 95% CI: -2.65 to -0.88, moderate certainty), followed by mesenchymal stem cells, platelet rich in growth factor, and platelet-rich plasma. Conclusion Exercise programs should be incorporated into clinical practice and trial design. For patients undergoing exercise therapies, mesenchymal stem cell, dextrose, platelet-rich plasma, platelet rich in growth factor, and botulinum toxin A may be the optimal agents.
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Affiliation(s)
- Hsiao-Yi Cheng
- Department of Primary Care Medicine, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan
- School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chun-Wei Liang
- School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Department of Primary Care Medicine, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
| | - Yu-Hao Lee
- Department of Physical Medicine and Rehabilitation, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
- Department of Physical Medicine and Rehabilitation, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Timporn Vitoonpong
- Department of Rehabilitation, King Chulalongkorn Memorial Hospital, Bankok, Thailand
| | - Chun-De Liao
- Department of Physical Medicine and Rehabilitation, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
- Master’s Program in Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan
| | - Shih-Wei Huang
- Department of Physical Medicine and Rehabilitation, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
- Department of Physical Medicine and Rehabilitation, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
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2
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Lippi L, Ferrillo M, Turco A, Folli A, Moalli S, Refati F, Perrero L, Ammendolia A, de Sire A, Invernizzi M. Multidisciplinary Rehabilitation after Hyaluronic Acid Injections for Elderly with Knee, Hip, Shoulder, and Temporomandibular Joint Osteoarthritis. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:2047. [PMID: 38004096 PMCID: PMC10672933 DOI: 10.3390/medicina59112047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 11/12/2023] [Accepted: 11/17/2023] [Indexed: 11/26/2023]
Abstract
Osteoarthritis (OA) is a prevalent degenerative joint condition characterized by cartilage deterioration, joint inflammation, and functional limitations, particularly impacting the elderly population. Rehabilitation and hyaluronic acid (HA) injections are common therapeutic approaches routinely used in clinical practice, but their synergistic potential is far from being fully characterized. Thus, the aim of this narrative review was to elucidate the multilevel benefits and synergies of integrating these two approaches in multidisciplinary OA rehabilitation. This narrative review follows the scale for the assessment of narrative review articles (SANRA) criteria and involves a comprehensive literature search from July to August 2023. Two independent reviewers screened studies, including those involving human subjects with OA, rehabilitation strategies, and outcomes following HA injection, published in English. Results: HA injections might improve joint biomechanics, reducing friction, absorbing shocks, and potentially regulating inflammation. Rehabilitation plays a pivotal role in strengthening muscles, increasing the range of motion, and enhancing overall function. Optimizing rehabilitation following HA injection might provide additional benefits in joint health. OA management requires a multidisciplinary approach integrating HA injections, rehabilitation, and personalized care. Challenges in patient adherence and healthcare resources currently exist, but emerging technologies offer opportunities to enhance patient engagement and monitoring optimizing sustainability and outcomes of patients with knee, hip, shoulder, and temporomandibular joint OA.
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Affiliation(s)
- Lorenzo Lippi
- Department of Health Sciences, University of Eastern Piedmont “A. Avogadro”, 28100 Novara, Italy; (L.L.); (A.T.); (A.F.); (S.M.); (F.R.); (M.I.)
- Translational Medicine, Dipartimento Attività Integrate Ricerca e Innovazione (DAIRI), Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo, 15121 Alessandria, Italy
| | - Martina Ferrillo
- Department of Health Sciences, University of Catanzaro “Magna Graecia”, 88100 Catanzaro, Italy
| | - Alessio Turco
- Department of Health Sciences, University of Eastern Piedmont “A. Avogadro”, 28100 Novara, Italy; (L.L.); (A.T.); (A.F.); (S.M.); (F.R.); (M.I.)
| | - Arianna Folli
- Department of Health Sciences, University of Eastern Piedmont “A. Avogadro”, 28100 Novara, Italy; (L.L.); (A.T.); (A.F.); (S.M.); (F.R.); (M.I.)
| | - Stefano Moalli
- Department of Health Sciences, University of Eastern Piedmont “A. Avogadro”, 28100 Novara, Italy; (L.L.); (A.T.); (A.F.); (S.M.); (F.R.); (M.I.)
| | - Fjorelo Refati
- Department of Health Sciences, University of Eastern Piedmont “A. Avogadro”, 28100 Novara, Italy; (L.L.); (A.T.); (A.F.); (S.M.); (F.R.); (M.I.)
| | - Luca Perrero
- Neurorehabilitation Unit, Azienda Ospedaliera SS Antonio e Biagio e Cesare Arrigo, 15121 Alessandria, Italy;
| | - Antonio Ammendolia
- Department of Medical and Surgical Sciences, University of Catanzaro “Magna Graecia”, 88100 Catanzaro, Italy; (A.A.); (A.d.S.)
- Research Center on Musculoskeletal Health, MusculoSkeletalHealth@UMG, University of Catanzaro “Magna Graecia”, 88100 Catanzaro, Italy
| | - Alessandro de Sire
- Department of Medical and Surgical Sciences, University of Catanzaro “Magna Graecia”, 88100 Catanzaro, Italy; (A.A.); (A.d.S.)
- Research Center on Musculoskeletal Health, MusculoSkeletalHealth@UMG, University of Catanzaro “Magna Graecia”, 88100 Catanzaro, Italy
| | - Marco Invernizzi
- Department of Health Sciences, University of Eastern Piedmont “A. Avogadro”, 28100 Novara, Italy; (L.L.); (A.T.); (A.F.); (S.M.); (F.R.); (M.I.)
- Translational Medicine, Dipartimento Attività Integrate Ricerca e Innovazione (DAIRI), Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo, 15121 Alessandria, Italy
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3
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Maccarone MC, Caregnato A, Regazzo G, Carriero A, Casellato G, Finamoni C, Jirillo R, Laskova O, Marigo E, Sánchez DY, Seno I, Venturin C, Veronese H, Ravara B, Giurati W, Carraro U, Masiero S. Effects of the Full-Body in-Bed Gym program on quality of life, pain and risk of sarcopenia in elderly sedentary individuals: preliminary positive results of a Padua prospective observational study. Eur J Transl Myol 2023; 33:11780. [PMID: 37753778 PMCID: PMC10583150 DOI: 10.4081/ejtm.2023.11780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 09/25/2023] [Indexed: 09/28/2023] Open
Abstract
Age-related muscle loss poses a significant health concern in an aging population. This study aimed to assess the impact of a home Full-Body in-Bed Gym protocol on quality of life, pain and risk of sarcopenia in elderly subjects. A total of 22 subjects with a median age of 71.90 years were included in the study. Patients participating in the Full-Body in-Bed Gym program, with a frequency of three times a week for two months, demonstrated a significant enhancement in their quality of life, as indicated by the 12-Item Short Form Health Survey (SF-12) Mental Component Summary (p = 0.04), and an improvement in pain levels (p = 0.03). Although not statistically significant, there was also an improvement in sarcopenia risk. Patients were given the freedom to decide whether to continue treatment after the evaluation of outcomes. Patient compliance with the exercise protocol over six months indicated its feasibility and sustainability, even in the long term. These findings suggest that the Full-Body in-Bed Gym protocol may play a valuable role in mitigating age-related muscle loss, emphasizing the importance of further investigation into such rehabilitation and prevention strategies.
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Affiliation(s)
| | - Allegra Caregnato
- Physical Medicine and Rehabilitation School, University of Padova, Padua.
| | - Gianluca Regazzo
- Physical Medicine and Rehabilitation School, University of Padova, Padua.
| | | | - Giacomo Casellato
- Physical Medicine and Rehabilitation School, University of Padova, Padua.
| | - Claudia Finamoni
- Physical Medicine and Rehabilitation School, University of Padova, Padua.
| | - Rossella Jirillo
- Physical Medicine and Rehabilitation School, University of Padova, Padua.
| | - Olena Laskova
- Physical Medicine and Rehabilitation School, University of Padova, Padua.
| | - Elena Marigo
- Physical Medicine and Rehabilitation School, University of Padova, Padua.
| | | | - Irene Seno
- Physical Medicine and Rehabilitation School, University of Padova, Padua.
| | - Chiara Venturin
- Physical Medicine and Rehabilitation School, University of Padova, Padua.
| | - Hillary Veronese
- Physical Medicine and Rehabilitation School, University of Padova, Padua.
| | - Barbara Ravara
- Department of Biomedical Sciences, University of Padova, Padua, Italy; CIR-Myo-Interdepartmental Research Center of Myology, University of Padova, Padua, Italy; A&CM-C Foundation for Translational Myology, Padua.
| | - Walter Giurati
- Department of Biomedical Sciences, University of Padova, Padua.
| | - Ugo Carraro
- Department of Biomedical Sciences, University of Padova, Padua, Italy; CIR-Myo-Interdepartmental Research Center of Myology, University of Padova, Padua, Italy; A&CM-C Foundation for Translational Myology, Padua.
| | - Stefano Masiero
- Physical Medicine and Rehabilitation School, University of Padova, Padua, Italy; CIR-Myo-Interdepartmental Research Center of Myology, University of Padova, Padua, Italy; Department of Neuroscience, Section of Rehabilitation, University of Padova, Padua.
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4
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Maccarone MC, Scanu A, Coraci D, Masiero S. The Potential Role of Spa Therapy in Managing Frailty in Rheumatic Patients: A Scoping Review. Healthcare (Basel) 2023; 11:1899. [PMID: 37444733 PMCID: PMC10340743 DOI: 10.3390/healthcare11131899] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 06/27/2023] [Accepted: 06/29/2023] [Indexed: 07/15/2023] Open
Abstract
Frailty is not limited to the elderly, as patients with rheumatic diseases can also experience this condition. The present scoping review aimed to investigate the possibility of using the health resort setting as an alternative location for managing rheumatic patients with frailty. The research resulted in finding several in vitro, in vivo, and clinical studies, resulting in evidence supporting the effectiveness of spa treatments in reducing pain, improving function, and managing comorbidity in rheumatic diseases. Additionally, spa treatments were demonstrated to modulate the MAPK/ERK pathway and the NF-kB pathway's activation and to reduce proinflammatory molecules' secretion in rheumatic diseases, thus suggesting their potential effective role in the regulation of inflammaging in frailty. Moreover, the health resort setting may offer potential resources to reduce risk factors, such as drug consumption, inactivity, and disease severity, and may serve as a setting for developing prevention protocols for frailty. Future research should explore innovative approaches, such as exercise training and early diagnostics, for the overall management of frailty in rheumatic patients in the spa setting.
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Affiliation(s)
- Maria Chiara Maccarone
- Department of Neuroscience, Physical Medicine and Rehabilitation School, University of Padua, Via Giustiniani 2, 35128 Padua, Italy;
| | - Anna Scanu
- Neurorehabilitation Unit, Department of Neuroscience, University of Padua, 35128 Padua, Italy; (A.S.); (D.C.)
- Department of Women’s and Children’s Health, University of Padua, 35128 Padua, Italy
| | - Daniele Coraci
- Neurorehabilitation Unit, Department of Neuroscience, University of Padua, 35128 Padua, Italy; (A.S.); (D.C.)
| | - Stefano Masiero
- Department of Neuroscience, Physical Medicine and Rehabilitation School, University of Padua, Via Giustiniani 2, 35128 Padua, Italy;
- Neurorehabilitation Unit, Department of Neuroscience, University of Padua, 35128 Padua, Italy; (A.S.); (D.C.)
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5
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Jo NG, Ko MH, Won YH, Park SH, Seo JH, Kim GW. The efficacy of low-intensity pulsed ultrasound on articular cartilage and clinical evaluations in patients with knee osteoarthritis. J Back Musculoskelet Rehabil 2022; 35:1381-1389. [PMID: 35754261 DOI: 10.3233/bmr-210357] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND While a number of preclinical studies have examined the effectiveness of low-intensity pulsed ultrasound (LIPUS) as a potential treatment for knee osteoarthritis (OA), there have been few clinical studies which have indirectly confirmed cartilage regeneration by magnetic resonance imaging (MRI). OBJECTIVE The aim of this clinical trial was to investigate whether LIPUS effectively increased knee cartilage thickness and improved pain and function in knee OA patients. METHODS This study was a prospective, single-group, home-based self-therapy trial. We included patients (n= 20) with OA pain. Each patient used an ultrasonic stimulation device (BODITREK JOINT™) for more than 20 sessions. Outcomes were assessed by MRI, Visual Analogue Scale (VAS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and the 36-Item Short Form Survey (SF-36) for assessing quality of life. RESULTS Nineteen subjects completed this study. There was no significant increase in the cartilage thickness measured by MRI after LIPUS treatment. LIPUS therapy significantly decreased VAS score and WOMAC score, and significantly increased SF-36 score. The subgroup analysis in patients with knee OA showed that LIPUS treatment showed better for older patients with lower Kellgren-Lawrence grades. CONCLUSION Pain, function, and quality of life improved after LIPUS, but there was no significant increase in cartilage thickness through MRI.
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Affiliation(s)
- Nam-Gyu Jo
- Department of Physical Medicine and Rehabilitation, Jeonbuk National University Medical School, Jeonju, Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Myoung-Hwan Ko
- Department of Physical Medicine and Rehabilitation, Jeonbuk National University Medical School, Jeonju, Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Yu Hui Won
- Department of Physical Medicine and Rehabilitation, Jeonbuk National University Medical School, Jeonju, Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Sung-Hee Park
- Department of Physical Medicine and Rehabilitation, Jeonbuk National University Medical School, Jeonju, Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Jeong-Hwan Seo
- Department of Physical Medicine and Rehabilitation, Jeonbuk National University Medical School, Jeonju, Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Gi-Wook Kim
- Department of Physical Medicine and Rehabilitation, Jeonbuk National University Medical School, Jeonju, Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
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6
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Detection Method of Athlete Joint Injury Based on Deep Learning Model. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:8165580. [PMID: 36092783 PMCID: PMC9462975 DOI: 10.1155/2022/8165580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 08/09/2022] [Accepted: 08/16/2022] [Indexed: 11/17/2022]
Abstract
The research on accurate and intelligent segmentation of knee joint MRI images is of great significance to reduce the work intensity of clinical doctors and nurses. In order to solve the problem that knee joint MRI image segmentation model needs a large number of high-quality tagged images and excessive labeling workload, a semisupervised learning segmentation network model based on 3D scSE-UNet is proposed. The model adopts a self-training semisupervised learning framework and adds a cSE-block+ module on the basis of the 3D UNet model. This module can enhance the effective features of the feature image from two aspects of space and channel, while suppressing irrelevant features and preserving image edge information more completely. In order to solve the problem of rough edge of pseudolabel caused by model segmentation, a fully connected conditional random field is added to refine the edge of pseudolabel in the process of model training. The effectiveness of the model is verified by open source MRNet dataset and OAI dataset. The results show that the proposed model can achieve the segmentation effect of fully supervised learning through a small number of labeled images and effectively reduce the dependence of knee joint MRI image segmentation on expert labeling data.
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7
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Bertoncelli CM, Altamura P, Bagui S, Bagui S, Vieira ER, Costantini S, Monticone M, Solla F, Bertoncelli D. Predicting osteoarthritis in adults using statistical data mining and machine learning. Ther Adv Musculoskelet Dis 2022; 14:1759720X221104935. [PMID: 35859927 PMCID: PMC9290106 DOI: 10.1177/1759720x221104935] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 05/16/2022] [Indexed: 11/23/2022] Open
Abstract
Background: Osteoarthritis (OA) has traditionally been considered a disease of older adults (⩾65 years old), but it may appear in younger adults. However, the risk factors for OA in younger adults need to be further evaluated. Objectives: To develop a prediction model for identifying risk factors of OA in subjects aged 20–50 years and compare the performance of different machine learning models. Methods: We included data from 52,512 participants of the National Health and Nutrition Examination Survey; of those, we analyzed only subjects aged 20–50 years (n = 19,133), with or without OA. The supervised machine learning model ‘Deep PredictMed’ based on logistic regression, deep neural network (DNN), and support vector machine was used for identifying demographic and personal characteristics that are associated with OA. Finally, we compared the performance of the different models. Results: Being a female (p < 0.001), older age (p < 0.001), a smoker (p < 0.001), higher body mass index (p < 0.001), high blood pressure (p < 0.001), race/ethnicity (lowest risk among Mexican Americans, p = 0.01), and physical and mental limitations (p < 0.001) were associated with having OA. Best predictive performance yielded a 75% area under the receiver operating characteristic curve. Conclusion: Sex (female), age (older), smoking (yes), body mass index (higher), blood pressure (high), race/ethnicity, and physical and mental limitations are risk factors for having OA in adults aged 20–50 years. The best predictive performance was achieved using DNN algorithms.
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Affiliation(s)
- Carlo M Bertoncelli
- Department of Computer Science, Hal Marcus College of Science and Engineering, University of West Florida, Pensacola, FL 32514, USA
| | - Paola Altamura
- Department of Medicinal Chemistry and Pharmaceutical Technology, University of Chieti, Chieti, Italy
| | - Sikha Bagui
- Department of Computer Science, Hal Marcus College of Science and Engineering, University of West Florida, Pensacola, FL, USA
| | - Subhash Bagui
- Department of Computer Science, Hal Marcus College of Science and Engineering, University of West Florida, Pensacola, FL, USA
| | - Edgar Ramos Vieira
- Department of Physical Therapy, Florida International University, Miami, FL, USA
| | - Stefania Costantini
- Department of Information Engineering Computer Science and Mathematics, University of L'Aquila, L'Aquila, Italy
| | - Marco Monticone
- Department of Medical Sciences and Public Health and Department of Physical Medicine and Rehabilitation, University of Cagliari, Cagliari, Italy
| | - Federico Solla
- Department of Pediatric Orthopaedic Surgery, Lenval University Pediatric Hospital of Nice, Nice, France
| | - Domenico Bertoncelli
- Department of Computer Science, Hal Marcus College of Science and Engineering, University of West Florida, Pensacola, FL, USA
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Conservative Trio-Therapy for Varus Knee Osteoarthritis: A Prospective Case-Study. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58040460. [PMID: 35454299 PMCID: PMC9028347 DOI: 10.3390/medicina58040460] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/07/2022] [Accepted: 03/18/2022] [Indexed: 11/27/2022]
Abstract
Background and Objectives: Knee osteoarthritis (OA) is a frequent cause of pain, functional limitations, and a common reason for surgical treatment, such as joint replacement. Conservative therapies can reduce pain and improve function; thus, delaying or even preventing surgical intervention. Various individual conservative therapies show benefits, but combination therapies remain underexplored. The aim of this prospective case-study was to assess the effect of a conservative combination therapy in patients with painful varus knee OA. Materials and Methods: With strong inclusion and exclusion criteria, nine patients with painful varus knee OA (mean age 56 years (range 51−63 years) were selected and monitored over six months, using the following clinical outcome scores: pain visual analog scale (VAS), Western Ontario and McMaster Universities osteoarthritis index (WOMAC score), short-form−36 items (SF-36) quality of life score, and the sports frequency score. All patients received a standardized conservative trio-therapy with varus-reducing hindfoot shoe-insoles with a lateral hindfoot wedge, oral viscosupplementation, and physiotherapy for six months. Results: The pain was reduced significantly from initial VAS values of 5.4 points (range, 3−10) to values of 0.6 points (range, 0−3; p < 0.01), at the end of treatment. After six months, seven out of nine patients reported no pain at all (VAS 0). The WOMAC score improved significantly, from initial values of 35 (range, 10−56) to values of 2 (range, 0−9; p < 0.01). The SF-36 score showed significant improvement after six months in all four domains of physical health (p < 0.01) and in two of the four domains of mental health (p < 0.05). The sports frequency score increased by at least one level in six out of nine patients after six months. Conclusions: The conservative trio-therapy in patients with varus knee OA showed positive initial clinical results: less pain, higher function, better quality of life, and higher sport activity. Further studies are required to evaluate the long-term effect.
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9
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Structural Characterization Analyses of Low Brass Filler Biomaterial for Hard Tissue Implanted Scaffold Applications. MATERIALS 2022; 15:ma15041421. [PMID: 35207962 PMCID: PMC8875846 DOI: 10.3390/ma15041421] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 01/30/2022] [Accepted: 02/07/2022] [Indexed: 01/27/2023]
Abstract
A biomaterial was created for hard tissue implanted scaffolds as a translational therapeutic approach. The existing biomaterials containing titanium dioxide filler posed a risk of oxygen gas vacancy. This will block the canaliculars, leading to a limit on the nutrient fluid supply. To overcome this problem, low brass was used as an alternative filler to eliminate the gas vacancy. Low brass with composition percentages of 0%, 2%, 5%, 15%, and 30% was filled into the polyester urethane liquidusing the metallic filler polymer reinforced method. The structural characterizations of the low brass filler biomaterial were investigated by Field Emission Scanning Electron Microscopy. The results showed the surface membrane strength was higher than the side and cross-section. The composition shapes found were hexagon for polyester urethane and peanut for low brass. Low brass stabilised polyester urethane in biomaterials by the formation of two 5-ringed tetrahedral crystal structures. The average pore diameter was 308.9 nm, which is suitable for articular cartilage cells. The pore distribution was quite dispersed, and its curve had a linear relationship between area and diameter, suggestive of the sphere-shaped pores. The average porosities were different between using FESEM results of 6.04% and the calculated result of 3.28%. In conclusion, this biomaterial had a higher surface membrane strength and rather homogeneous dispersed pore structures.
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Neuromuscular Impairment of Knee Stabilizer Muscles in a COVID-19 Cluster of Female Volleyball Players: Which Role for Rehabilitation in the Post-COVID-19 Return-to-Play? APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12020557] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
COVID-19 athletes reported persistent and residual symptoms many weeks after initial infection, including cough, fatigue, and neuromuscular disorders. Poor neuromuscular control may cause inefficient movement strategies increasing anterior cruciate ligament load. This is particularly relevant in female athletes, who show a 3-time higher risk than male counterparts. Aim is to evaluate the impairment in thigh muscles activation, body composition, and physical performance after COVID-19 in volleyball athletes. We recruited a cohort of female professional players from the same team. We assessed the pre-activation time of Rectus Femoris (RF), Vastus Medialis (VM), Medial Hamstring (MH), and Lateral Hamstring (LH) before (T0) and after (T1) COVID-19 infection, bioelectrical impedance analysis (BIA), and jump tests. We included 12 athletes with COVID-19 infection diagnosis in January 2021. At T1 we found a significant (p < 0.05) delay (ms) of the activation time of RF (426 ± 188 vs. 152 ± 106); VM (363 ± 192 vs. 140 ± 96); BF (229 ± 60 vs. 150 ± 63); MH (231 ± 88 vs. 203 ± 89), and a significant reduction of body composition at BIA. The neuromotor imbalance of the knee stabilizer muscle in female athletes after COVID-19 infection determines a deficit of knee stabilization. Physicians should consider neuromuscular and metabolic sequelae to identify athletes at higher risk of injury and set up specific neuromuscular rehabilitation protocols.
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11
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Iolascon G, Tarantino U, Moretti A. Challenges and Solutions for Musculoskeletal Disorders in Athletes. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:80. [PMID: 35056388 PMCID: PMC8781726 DOI: 10.3390/medicina58010080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 01/04/2022] [Indexed: 02/05/2023]
Abstract
The etymology of the word "athlete" derives from the ancient Greek ἀθλητής (athletés, from âthlos that is, fight, competition) [...].
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Affiliation(s)
- Giovanni Iolascon
- Department of Medical and Surgical Specialties and Dentistry, University of Campania “Luigi Vanvitelli”, 80100 Naples, Italy;
| | - Umberto Tarantino
- Department of Clinical Sciences and Translational Medicine, Faculty of Medicine and Surgery, “Tor Vergata” University of Rome, Via Montpellier 1, 00133 Rome, Italy;
| | - Antimo Moretti
- Department of Medical and Surgical Specialties and Dentistry, University of Campania “Luigi Vanvitelli”, 80100 Naples, Italy;
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