Imaging of knee osteoarthritis

A protocol to assess the Knee cartilage thickness in healthy older adults and analyze its correlation with patient-reported outcomes

Knee osteoarthritis (KOA)is a degenerative joint condition affecting about 240 million people worldwide with rising incidences in India. The progressive nature of the disease leads to pain, reduced mobility, and diminished quality of life. Despite extensive global research, there is a lack of normative data on the cartilage thickness specific to the Indian population, which is crucial to understanding the nature of the disease progression. Thereby this study aims to establish normative cartilage thickness values in healthy Indian adults and correlate these values to the knee injury and osteoarthritis outcome score (KOOS). Using ultrasonography, the cartilage thickness will be measured in 100 healthy individuals. Baseline cartilage values will be linked to the various domains of the KOOS score to evaluate early cartilage degeneration and its impact on function. This research will address the gap in Indian-specific data, including early detection and management of KOA and improving clinical decision-making for better outcomes and quality of life.•Establish normative knee cartilage thickness in healthy Indian population using USG.•Helps identify KOA in early stages through USG-based cartilage thickness evaluation•Enables clinicians to target rehabilitation efforts effectively and potentially improve patients' outcomes and quality of life.

Osteoporosis, fracture, osteoarthritis & sarcopenia: A systematic review of circulating microRNA association

Circulating microRNAs (c-miRs) show promise as biomarkers. This systematic review explores their potential association with age-related fracture/osteoporosis (OP), osteoarthritis (OA) and sarcopenia (SP), as well as cross-disease association. Most overlap occurred between OA and OP, suggesting potentially shared microRNA activity. There was little agreement in results across studies. Few reported receiver operating characteristic analysis (ROC) and many identified significant dysregulation in disease, but direction of effect was commonly conflicting. c-miRs with most evidence for consistency in dysregulation included miR-146a, miR-155 and miR-98 for OA (upregulated). Area under the curve (AUC) for miR-146a biomarker performance was AUC 0.92, p = 0.028. miR-125b (AUC 0.76-0.89), miR-100, miR-148a and miR-24 were consistently upregulated in OP. Insufficient evidence exists for c-miRs in SP. Study quality was typically rated intermediate/high risk of bias. Wide study heterogeneity meant meta-analysis was not possible. We provide detailed critique and recommendations for future approaches in c-miR analyses based on this review.