Partial meniscectomy patients have a greater likelihood for the development of early osteoarthritis (OA). To prevent the onset of early OA, patient-specific treatment algorithms need to be created that predict patient risk to early OA after meniscectomy. The aim of this work was to identify patient-specific risk factors in partial meniscectomy patients that could potentially lead to early OA. Partial meniscectomy patients operated between 01/2017 and 12/2019 were evaluated in the study (n=317). Exclusion criteria were other pathologies or surgeries for the evaluated knee and meniscus (n = 114). Following informed consent, an online questionnaire containing demographics and the “Knee Injury and Osteoarthritis Outcome Score” (KOOS) questionnaire was sent to the patient. Based on the KOOS pain score, patients were classified into “low” (> 75) and “high” (< 75) risk patients, indicating risk to symptomatic OA. The “high risk” patients also underwent a follow-up including an MRI scan to understand whether they have developed early OA. From 203 participants, 96 patients responded to the questionnaire (116 did not respond) with 61 patients considered “low-risk” and 35 “high-risk” patients. Groups that showed a significant increased risk for OA were patients aged > 40 years, females, overweight (BMI >25 kg/m2 ≤ 30 kg/m2), and smokers (*p < 0.05). The “high-risk”-follow-up revealed a progression of early osteoarthritic cartilage changes in seven patients, with the remaining nineteen patients showing no changes in
In knee osteoarthritis (OA) patients, a focal cartilage defect is commonly found, especially in the medial compartment. In addition, cartilage softening is often observed at the defect rim. Both factors may alter the loading distribution and thereby the contact pressures, previously related to cartilage degeneration. To determine contact pressure in-vivo during motion, computational modelling can be used. The aim of this study was to analyse knee cartilage pressures during walking in healthy and damaged cartilage using a multi-scale modelling approach. Using 3D motion capture and musculoskeletal models, multi-body simulations of the stance phase of gait calculated knee kinematics and muscle, ligament and contact forces. These were subsequently imposed to a finite element (FE) model including tibial and femoral bones and cartilage. FE analyses were performed using intact cartilage as well as including a medial tibial cartilage defect, with and without softening of the defect rim. Specifically during loading response, a medial cartilage defect reduced the contact surface (−28%) and thereby increased the contact pressure (+33%) compared to intact cartilage, particularly on the medial compartment (+75% in contact pressure). Including softening of the cartilage rim increased the contact area (+22%) and decreased contact pressures (−9%) compared to the defect. This indicates that a focal defect increases the cartilage loading. This is partially compensated by softening of the cartilage rim. Therefore, the role of focal defects in altered cartilage loading and consequent OA development always needs to be discussed acknowledging the
Summary Statement. This work proved by prospective clinical and radiological controlled study that the best regimen for treatment of early KOA is combination of NSAIDS, physiotherapy, vasoprotective and vasodilator drugs, and alendronate. Introduction. There is controversy in the literatures regarding the best treatment for early knee osteoarthritis because there is a more controversy regarding the initiating factor of KOA The Objectives of this work were to evaluate the efficacy of various treatment regimens for the prevention of progression of early knee osteoarthritis (KOA). Also, to elucidate the factors for initiation and progression of KOA. Patients and Methods. Four groups of 50 patients with early KOA were treated with four treatment regimens. The first group (control) received analgesics as needed for one year. The second group received non steroidal anti-inflammatory drugs (NSAIDS) plus physiotherapy for one month; with analgesics as needed for the rest of the year. The third group received NSAIDS plus physiotherapy, plus vasoprotective and vasodilator drugs for one month; vasoprotective and vasodilator drugs for the next six months, and analgesics as needed for the rest of the year. The fourth group received NSAIDS plus physiotherapy, plus vasoprotective and vasodilator drugs plus alendronate for one month; vasoprotective and vasodilator drugs plus alendronate for the next six months; and analgesics as needed for the rest of the year. The age of the patients was from 40 to45years. There were 25 males and 25 females in each group. Patients with causes of secondary KOA (e.g. rheumatoid, gouty, traumatic, etc.) were excluded. All patients were subjected to Pre- and post treatment regimens clinical and radiological evaluation Clinical evaluation included history of progressive knee pain for 3–6weeks, limping, Visual analog pain score, tenderness, and knee range of motion. Radiological evaluation included 1.0 T MRI which was performed using proton density-weighted, fat-suppressed sequences. BML size and
The weight-bearing status of articular cartilage has been shown to affect its biochemical composition. We have investigated the topographical variation of sulphated glycosaminoglycan (GAG) relative to the DNA content of the chondrocyte in human distal femoral articular cartilage. Paired specimens of distal femoral articular cartilage, from weight-bearing and non-weight-bearing regions, were obtained from 13 patients undergoing above-knee amputation. After papain enzyme digestion, spectrophotometric GAG and fluorometric DNA assays assessed the biochemical composition of the samples. The results were analysed using a paired Although there were no significant differences in cell density between the regions, the weight-bearing areas showed a significantly higher concentration of GAG relative to DNA when compared with non-weight-bearing areas (p = 0.02). We conclude that chondrocytes are sensitive to their mechanical environment, and that local loading conditions influence the metabolism of the cells and hence the biochemical structure of the tissue.
