Comparison of platelet-rich plasma and laser therapy in treatment of chronic lateral epicondylitis

Background Lateral epicondylitis (LE) is the most frequent cause of chronic lateral elbow pain in adults that represents an encumbrance on social and professional life of patients. Many treatment modalities that have been used in the management of LE have recently come into question. Platelet-rich plasma (PRP) and low-level laser therapy (LLLT) have been tried for management of chronic tendinopathies but with some debate about their effectiveness. Objectives This study compared the effectiveness of local injection of PRP and LLLT in pain reduction and functional improvement in chronic LE. Patients and methods This randomized double-blinded, prospective study included 104 eligible patients with chronic LE. Fifty-two patients were treated with local PRP injection and 52 were treated by intermittent LLLT. They were evaluated at 3 and 6 months for subjective pain using visual analog scale (VAS), functional outcome, and grip strength. Results Pain was assessed using the subjective VAS which was improved in both PRP and LLLT groups, DASH score and grip strength revealed improvement in both groups. This improvement was of highly statistical significance in both groups when compared with baseline evaluation (P<0.001). On comparing the PRP group with the LLLT group, there was significant improvement in VAS at 6 months only, whereas there were significant improvements in functional outcome and grip strength evaluation at 3- and 6-month follow-up for PRP group. Conclusion Treating patients with LE with PRP injection improves pain and function more effectively compared with LLLT

Serum Amyloid A Level in Patients with Juvenile Idiopathic Arthritis

Background and Aim of the Work: JIA is the commonest rheumatic disease in childhood characterized by inflammatory arthritis lasting more than 6 weeks before the 16th birthday. In addition to routine ESR and CRP, there are other inflammatory biomarkers as SAA. It is one of the major acute phase reactants which was found to be elevated in inflammatory arthritis and a good indicator of disease activity.This study assessed the value of SAA level in a cohort of patients with JIA.Subjects and Methods: 45 JIA patients and 40 healthy controls were recruited from the outpatient clinic of Rheumatology and Rehabilitation Department at MUCH. All patients underwent a thorough clinical evaluation. Assessment of JIA patients involved assessment of disease activity, tenderness and functional status. Laboratory tests were done including: CBC, ESR, CRP and SAA.Results: A significant rise in SAA levels was found in JIA patients compared to control group and it was significantly higher in SJIA subtype. SAA level was positively correlated with JADAS-27, VAS, physician global assessment, C-HAQ, Ritchie articular index score, platelet count and ESR in 1st hour and 2nd hour. The levels of SAA were significantly lower in JIA patients taking methotrexate while it was significantly higher in cyclosporine treated patients.Conclusion: SAA can be used as additional indicator of JIA disease activity. Moreover, it can help in differentiation between subtypes when combined with clinical features of the disease and it may be considered in assessment of patient, s response to therapy

Nail ridging in rheumatoid arthritis patients and relation to disease activity: An integrated rheumatology-dermatology multi-centre study

Aim of the work: To evaluate the frequency of nail ridging (NR) in patients with rheumatoid arthritis (RA) and to study its relation to disease activity. Patients and methods: 230 RA patients and 97 matched controls from Helwan, Ain Shams and Mansoura university hospitals were studied. Disease activity score (DAS28) was assessed. NR has been searched for in all patients. The number of affected fingers was recorded. NR was determined by a magnifying lens, seen by naked eye or seen and felt. Dermoscopic photography of the NR using Dermalite DL4 3Gen dermatoscope has been recorded. Results: The median age of patients was 49 years (42–58 years); they were 221 females and 19 males (F:M 11.1:1) with a disease duration 9 years (5–11 years). Their DAS28 was 3.6 (2.9–4.6). NR was significantly increased in RA cases vs. control; 73% vs 20%; p < 0.001. In patients, NR was detected by a magnifying lens in 32.6%, seen in 27% and seen and felt in 13.5%. Joint deformities were significantly higher in those with NR. DAS28 was a significant independent predictor of NR; for every one-point increase in DAS28, there was a 153 times higher odds to exhibit NR at a sensitivity of 93.5%, specificity 80.3% and at a diagnostic accuracy of 90%. Conclusion: NR is a frequent finding in RA. An integrated rheumatological- dermatological clinical evaluation may be helpful and further studies are required to prove the importance of this sign for follow up of RA patients

Damage in rheumatic diseases: Contemporary international standpoint and scores emerging from clinical, radiological and machine learning

In rheumatic diseases, damage is a major concern and reflects irreversible organ scarring or tissue degradation. Quantifying damage or measuring its severity is an indispensable concern in determining the overall outcome. Damage considerably influences both longterm prognosis and quality of life. Rheumatic diseases (RD) represent a significant health burden. Organ damage is consistently associated with increased mortality. Monitoring damage is critical in the evaluation of patients and in appraising treatment efficacy. Proper assessment and early detection of damage paves way for modifying the disease course with effective medications and regimens may reduce organ damage, improve outcomes and decrease mortality. With the exception of systemic lupus erythematosus and vasculitis, most RDs lack an established damage index making it an ongoing demand to develop effective scores and prediction models for damage accrual early in the disease course. A better understanding of machine learning with the increasing availability of medical large data may facilitate the development of meaningful precision medicine for patients with RDs. An updated spectrum of clinical and radiological damage scores and indices as well as the role of machine learning are presented in this review for the key RDs