Machine learning (ML), a branch of artificial intelligence that uses algorithms to learn from data and make predictions, offers a pathway towards more personalized and tailored surgical treatments. This approach is particularly relevant to prevalent joint diseases such as osteoarthritis (OA). In contrast to end-stage disease, where joint arthroplasty provides excellent results, early stages of OA currently lack effective therapies to halt or reverse progression. Accurate prediction of OA progression is crucial if timely interventions are to be developed, to enhance patient care and optimize the design of clinical trials. A systematic review was conducted in accordance with PRISMA guidelines. We searched MEDLINE and Embase on 5 May 2024 for studies utilizing ML to predict OA progression. Titles and abstracts were independently screened, followed by full-text reviews for studies that met the eligibility criteria. Key information was extracted and synthesized for analysis, including types of data (such as clinical, radiological, or biochemical), definitions of OA progression, ML algorithms, validation methods, and outcome measures.Aims
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To explore key stakeholder views around feasibility and acceptability of trials seeking to prevent post-traumatic osteoarthritis (PTOA) following knee injury, and provide guidance for next steps in PTOA trial design. Healthcare professionals, clinicians, and/or researchers (HCP/Rs) were surveyed, and the data were presented at a congress workshop. A second and related survey was then developed for people with joint damage caused by knee injury and/or osteoarthritis (PJDs), who were approached by a UK Charity newsletter or Oxford involvement registry. Anonymized data were collected and analyzed in Qualtrics.Aims
Methods
Mesenchymal stromal/stem cells (MSCs) are increasingly recognized as regulators of immune cells during disease or tissue repair. During these situations, the extracellular matrix (ECM) is very dynamic and therefore, our studies aim to understand how ECM influences the activity of MSCs. Human MSCs cultured on tissue culture plastic (TCP) and encapsulated within collagen type I, fibrin, or mixed Collagen-Fibrin were exposed to low dose TNFα and IFNɣ. Transcription profiles were examined using bulk RNA sequencing (RNAseq) after 24h of treatment. ELISA, Western blot, qPCR and immunofluorescence were employed to validate RNAseq results and to investigate the significance of transcriptional changes. Flow cytometry evaluated monocyte/macrophage phenotype.Abstract
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Accumulated evidence indicates that local cell origins may ingrain differences in the phenotypic activity of human osteoblasts. We hypothesized that these differences may also exist in osteoblasts harvested from the same bone type at periarticular sites, including those adjacent to the fixation sites for total joint implant components. Human osteoblasts were obtained from the acetabulum and femoral neck of seven patients undergoing total hip arthroplasty (THA) and from the femoral and tibial cuts of six patients undergoing total knee arthroplasty (TKA). Osteoblasts were extracted from the usually discarded bone via enzyme digestion, characterized by flow cytometry, and cultured to passage three before measurement of metabolic activity, collagen production, alkaline phosphatase (ALP) expression, and mineralization.Aims
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To investigate factors that contribute to patient decisions regarding attendance for arthroplasty during the COVID-19 pandemic. A postal questionnaire was distributed to patients on the waiting list for hip or knee arthroplasty in a single tertiary centre within the UK. Patient factors that may have influenced the decision to attend for arthroplasty, global quality of life (QoL) (EuroQol five-dimension three-level (EQ-5D-3L)), and joint-specific QoL (Oxford Hip or Knee Score) were assessed. Patients were asked at which ‘COVID-alert’ level they would be willing to attend an NHS and a “COVID-light” hospital for arthroplasty. Independent predictors were assessed using multivariate logistic regression.Aims
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Charcot neuroarthropathy is a rare but serious complication of diabetes, causing progressive destruction of the bones and joints of the foot leading to deformity, altered biomechanics and an increased risk of ulceration. Management is complicated by a lack of consensus on diagnostic criteria and an incomplete understanding of the pathogenesis. In this review, we consider recent insights into the development of Charcot neuroarthropathy. It is likely to be dependent on several interrelated factors which may include a genetic pre-disposition in combination with diabetic neuropathy. This leads to decreased neuropeptides (nitric oxide and calcitonin gene-related peptide), which may affect the normal coupling of bone formation and resorption, and increased levels of Receptor activator of nuclear factor kappa-B ligand, potentiating osteoclastogenesis. Repetitive unrecognized trauma due to neuropathy increases levels of pro-inflammatory cytokines (interleukin-1β, interleukin-6, tumour necrosis factor α) which could also contribute to increased bone resorption, in combination with a pre-inflammatory state, with increased autoimmune reactivity and a profile of monocytes primed to transform into osteoclasts - cluster of differentiation 14 (CD14). Increased blood glucose and loss of circulating Receptor for Advanced Glycation End-Products (AGLEPs), leading to increased non-enzymatic glycation of collagen and accumulation of AGLEPs in the tissues of the foot, may also contribute to the pathological process. An understanding of the relative contributions of each of these mechanisms and a final common pathway for the development of Charcot neuroarthropathy are still lacking.
Controlled differentiation of Human mesenchymal stem cells (hMSCs) is required for timely induction of bone growth in implantable biomaterials. Differentiation of hMSCs towards a particular lineage depends upon their microenvironment, which is a complex mixture of various physical, chemical and biological parameters. The role of Bone morphogenic protein (BMP2) in early induction of bone formation is well established. Clinical experience and in vitro study has shown that presentation of this protein in small quantities by surface immobilisation significantly induces osteogenic differentiation compared to large quantities provided in solution. This project focuses on developing and understanding responsive micro/nano porous interfaces which deliver BMP2 in a dose dependent fashion to control osteogenic diffentiation of hMSCs. We hypothesise that use of porous membranes primed with LbL deposition of biomacromolecules such as COL and HA will help in induction of cell attachment and growth whilst controlled and localised delivery of BMP2 released from the layers of these porous constructs will induce sustained differentiation of hMSCs. By controlling pore size of membranes, rate of release of BMP2 can be controlled. We use fluorescently labelled Dextran (Flu-DEX) as model protein to study control release mechanism, which is of similar size to BMP2. Polycarbonate (PC) track etched membranes with various pore sizes were used for LbL assembly of COL/HA/Flu-DEX along with hydrolytically degradable polymer Poly-Beta amino ester (Poly2). Six bilayers were constructed into porous membranes with (COL-Flu-DEX)6 and (Poly2-Flu-DEX)6. Use of hydrolytically degradable polymer significantly enhances release of Flu-DEX compared to control (COL-Flu-DEX)6 assembly. Compared to flat (non porous) surface, release from porous samples maintained a relatively slow and steady release. We are currently investigating release of BMP2 using this approach and their influence on the differentiation of hMSCs in vitro
Operation notes were analysed to confirm the type of procedure, underlying diagnosis, and thickness of tibial insert. Information was derived from patient records and postal questionnaire to all surviving patients, which included: WOMAC, SF-36, satisfaction scale and history of revision surgery.
As at September 2003 there were 153 patients (25%) still alive, using revision as an endpoint survivorship was 59.3% at a mean time since implantation of 17 years 8 months. Pain and function portions of the WOMAC questionnaire revealed mean scores of 37 and 47 out of 100.
Survival was significantly better in females, no effect from pre-operative diagnosis was seen. 73% of these patients had 6mm tibial inserts, we postulate that the deterioration in survival is related to accelerated poly-ethylene wear beyond 10 years.