Epidemiology of Posttraumatic Osteoarthritis

Thomas, Abbey C.; Hubbard-Turner, Tricia; Wikstrom, Erik A.; Palmieri-Smith, Riann M.

doi:10.4085/1062-6050-51.5.08

Cited by 280 publications

(220 citation statements)

References 78 publications

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“…Two further studies, with a comparable number of participants and with over 1,300 participants, respectively, ascertained higher age to be a negative outcome factor (7,9). This effect can also be seen in the conservative treatment of osteoarthrosis (20).…”

Section: Discussionmentioning

confidence: 79%

Clinical and Radiological Mid-to-Long-term Outcomes Following Ankle Arthrolysis

Rohlfing

Wiebking

O’Loughlin

et al. 2019

In Vivo

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Background: The aim of this study was to evaluate the clinical and radiographic success of arthrolysis surgery and the risk of progression of osteoarthrosis at the ankle joint. Materials and Methods: In a retrospective clinical and radiological study, with a minimum follow-up of 24 months, the pain level and quality of living were evaluated. Results: Following arthrolysis of the ankle joint, 16% of patients required ankle fusion within 2 years. Women had a higher quality-of-life in terms of Foot Function Index. Younger patients scored higher in both quality-of-life and function scores. Radiographic osteoarthrotic changes and the specific follow-up interval did not correlate with clinical outcome. Conclusion: Fewer than 20% of patients required ankle fusion. Female gender and young age had a positive impact. Preoperative radiography and the postsurgical interval are poorly predictive for the progression of osteoarthrosis. 535 This article is freely accessible online.

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Section: Discussionmentioning

confidence: 79%

Clinical and Radiological Mid-to-Long-term Outcomes Following Ankle Arthrolysis

Rohlfing

Wiebking

O’Loughlin

et al. 2019

In Vivo

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“…Etiology of articular cartilage pathology and the resultant disease mechanisms have consistently been noted to significantly influence outcomes of various treatments. 35,36 While a causative event for articular cartilage lesions cannot always be ascertained, acute traumas, injury, malalignment, developmental disorders such as osteochondritis dissecans and dysplasias, chronic repetitive overuse, avascular necrosis, and primary, degenerative osteoarthritis (OA) are common culprits that lead to symptomatic articular cartilage pathology in the knee. Unfortunately, ambiguity regarding etiology and its associated timing in conjunction with striking patient to patient variation in rates of disease progression and related symptoms within etiologies severely limit delineation of causative risk factors that consistently influence outcomes of treatment.…”

Section: Current Clinical Grading and Scoring Methodsmentioning

confidence: 99%

Classification, Categorization, and Algorithms for Articular Cartilage Defects

2020

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There is a critical unmet need in the clinical implementation of valid preventative and therapeutic strategies for patients with articular cartilage pathology based on the significant gap in understanding of the relationships between diagnostic data, disease progression, patient-related variables, and symptoms. In this article, the current state of classification and categorization for articular cartilage pathology is discussed with particular focus on machine learning methods and the authors propose a bedside–bench–bedside approach with highly quantitative techniques as a solution to these hurdles. Leveraging computational learning with available data toward articular cartilage pathology patient phenotyping holds promise for clinical research and will likely be an important tool to identify translational solutions into evidence-based clinical applications to benefit patients. Recommendations for successful implementation of these approaches include using standardized definitions of articular cartilage, to include characterization of depth, size, location, and number; using measurements that minimize subjectivity or validated patient-reported outcome measures; considering not just the articular cartilage pathology but the whole joint, and the patient perception and perspective. Application of this approach through a multistep process by a multidisciplinary team of clinicians and scientists holds promise for validating disease mechanism-based phenotypes toward clinically relevant understanding of articular cartilage pathology for evidence-based application to orthopaedic practice.

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“…It occurs in all the joints of the body, such as hip, knee, shoulder, spine etc. Research shows that osteoarthritis afflicts more than 360 million people worldwide [1], and its morbidity incidence is increasing year by year [2]. 80 percent of the patients present exercise limitations and 25 percent physical disability [3].…”

Section: Introductionmentioning

confidence: 99%

A Network Pharmacology-based Study of the Potential Mechanism of Bushenhuoxue Formula in Treating Osteoarthritis

Wen

Cai²

2020

Preprint

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Background: To investigate the potential mechanism underlying the efficacy of BuShenHuoXue (BSHX) formula on Osteoarthritis (OA) and its molecular mechanism. Materials and Methods: Data as for bioactive chemicals of individual herb in BSHX formula and their targets were collected from Traditional Chinese Medicine Systems Pharmacology database and OA-associated targets from Gene Expression Omnibus database, compound-disease target network and protein-protein interactions network were built, picturized and analyzed by Cytoscape. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment of key targets were carried out and analyzed to probe into the core pathway and their main functions further. The chondrocytes of SD rats were cultured in vitro, and 50μg/ml IL-1βwas added to the chondrocytes to induce apoptosis. Different concentrations of quercetin were added to the experimental group and the apoptosis rate of chondrocytes, the difference of the expression of SELE, MMP2, and COL1 genes and their protein expression level were further detected. Results: A total of 104 candidate chemicals and 42 crossing targets were screened out. Leading target genes are PTGS2, NCOA2 and HSP90AA1, whereas quercetin and luteolin are principal ingredients. Potential pathways against OA are AGE-RAGE signaling pathway in diabetic complications, Relaxin signaling pathway, IL-17 signaling pathway, Tyrosine metabolism and Endocrine resistance. Our study showed that quercetin could inhibit the apoptosis of chondrocytes induced by IL-1β, decrease SELE, MMP2 and COL1 mRNA expression, likewise decrease the expression of SELE, MMP2 and COL1 protein. Conclusion: This study investigated the bioactive chemicals, crossing targets and possible mechanisms of BSHX formula against OA by network pharmacology strategy, results suggests that quercetin in BSHX formula may target on SELE, MMP2, and COL1 genes and then inhibit the progression of OA through the AGE-RAGE signaling pathway in diabetic complications. By the mechanism of reducing the apoptosis rate of SD rat chondrocytes and down-regulation the expression of genes involved in inflammation, we made sure that quercetin as principal ingredient can protect the cartilage. In addition, the conclusion of this study still need to be confirmed by in vivo and vitro experiments.

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Epidemiology of Posttraumatic Osteoarthritis

Cited by 280 publications

References 78 publications

Clinical and Radiological Mid-to-Long-term Outcomes Following Ankle Arthrolysis

Clinical and Radiological Mid-to-Long-term Outcomes Following Ankle Arthrolysis

Classification, Categorization, and Algorithms for Articular Cartilage Defects

A Network Pharmacology-based Study of the Potential Mechanism of Bushenhuoxue Formula in Treating Osteoarthritis

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