Development of a questionnaire to assess the patient perspective regarding challenges in psoriatic arthritis treatment-a mixed-methods study.

BACKGROUND: Limited data exist on psoriatic arthritis (PsA) treatment in lower-income regions, particularly from the patient perspective. This study explores the challenges faced by socioeconomically vulnerable PsA patients and the reasons for non-adherence to treatment guidelines. The main objective of the study is to develop a questionnaire to identify the primary challenges in PsA treatment adherence and to analyze its feasibility while simultaneously understanding the target population's unique characteristics. METHODS: We included PsA patients meeting the Classification Criteria for PsA (CASPAR), excluding those with other overlapping inflammatory diseases. The study, supported by two patient-research partners, began with focus groups to identify treatment challenges, leading to the creation of a 26-item questionnaire. Its reliability was verified using the test-retest method, targeting a percent agreement ≥ 0.8. Then, PsA patients at a rheumatology clinic completed the final survey. RESULTS: The study involved 69 PsA patients. The final questionnaire contained 26-questions across five-domains, with a 92.2% agreement rate and an average completion time of 8.3 minutes. Diagnostic delays exceeded a year for 59% of patients and more than two years for 33%. Daily life disruptions affected 43.2% of patients, with 35.3% taking sick leave or retiring. Around 25% waited over 8 weeks for drug approval, and 17.6% required legal intervention to access medication. Drug dispensation issues impacted about 60% of patients. Furthermore, 66.7% lived far from their rheumatologist, with 49% traveling over an hour for appointments. Approximately 30% were unaware of the risks of methotrexatein relation to alcohol consumption and pregnancy. CONCLUSIONS: The questionnaire was feasible and reliable, with its results underscoring patient-centric challenges in PsA management, particularly concerning diagnostic delays and medication access, as well as daily life disruptions and misinformation. These findings emphasize the urgency for healthcare reforms aimed at improving diagnosis efficiency, patient education, and streamlined medication access, emphasizing the need for tailored initiatives to improve the healthcare experience for PsA patients.

Assessment of muscle mass using chest computed tomography-based quantitative and qualitative measurements in patients with systemic sclerosis: A retrospective study with cross-sectional and longitudinal analyses.

BACKGROUND/ PURPOSE: Sarcopenia has been increasingly studied in systemic sclerosis (SSc), which is one of the most lethal autoimmune diseases, mainly due to lung involvement. Our objective was to study the associations of myopenia and/or myosteatosis with clinical features of SSc and subsequent adverse outcomes. METHODS: This is a retrospective study with cross-sectional and longitudinal analyses, in which patients with SSc were consecutively included in the outpatient clinic of a tertiary university hospital between 2012 and 2021. Clinical and laboratory parameters of patients with SSc were collected from their medical records. Skeletal muscle mass was assessed on chest computed tomography (CT) at the level of the first lumbar vertebra (L1) by skeletal muscle area (SMA), skeletal muscle index ([SMI] SMA/height2), and skeletal muscle radiation attenuation (SMRA). Cut-off values for myopenia in women and men were SMA <70.1 cm² and <110.4 cm², and SMI <25.9 cm²/m² and <34.6 cm²/m², respectively; values for myosteatosis in women and men were SMRA <29.8 HU and <36.3 HU, respectively. In a subgroup of 31 patients followed-up between 2017 and 2019, the diagnostic properties of SMA, SMI, and SMRA by CT were compared with the appendicular skeletal muscle mass index (ASMI) by dual-energy X-ray absorptiometry (DXA). Low muscle quantity was defined according to the European Working Group on Sarcopenia in Older People 2: ASMI <5.5 kg/m2 in women and <7.0 kg/m2 in men. Afterwards, a better tomographic index was used for correlating with clinical and laboratory parameters. RESULTS: Myopenia and/or myosteatosis were present in 75.7 % of patients with SSc. The prevalence rates according to each index were SMA 25.2%, SMI 12.1%, and SMRA 69.2%. In 73% of the patients with overweight/obesity (body mass index [BMI] ≥25 kg/m²), only SMRA was reduced. Considering ASMI as the gold standard, the sensitivity, specificity, positive and negative predictive values for SMA were 60%, 96.2%, 75% and 92.6%, respectively; for SMI, they were 40%, 96.2%, 66.7%, and 89.3%, respectively; for SMRA, these values were 60%, 34.6%, 15%, and 81.8%. Pearson's correlation coefficients were 0.73, 0.74, and 0.10 for SMA, SMI, and SMRA, respectively, and ASMI significantly agreed with SMA (kappa 0.611, p < 0.001) and SMI (kappa 0.431, p = 0.012). After adjustments in a multivariate model, BMI (p < 0.001) and female sex (p < 0.001) remained significantly associated with myopenia by SMA; BMI (p =0.010) remained significantly associated with low muscle mass by ASMI. CONCLUSION: The SMA index at L1 level on chest CT was demonstrated to be an accurate measure that is useful for detecting myopenia in patients with SSc. BMI and male sex predicted low SMA and BMI was associated with low ASMI on DXA. STATEMENT OF CLINICAL SIGNIFICANCE: In recent years, great advances have been made in sarcopenia-related research, resulting in broader knowledge on its definition, causes, diagnosis, and treatment options. Regarding the techniques used for assessing muscle composition, computed tomography (CT) was demonstrated by many studies to be an efficient and easy-to-use method that can be employed by professionals of different specialties, including rheumatologists. This study was able to demonstrate that although the L3 image was not present on CT, the analysis of SMA at the L1 level on chest CT proved to be an accurate and useful measure to detect myopenia in patients with SSc. This study identified some associated factors of myopenia and/or myosteatosis according to each method employed for assessing muscle composition. Reduced BMI and male sex were associated factors of myopenia when using SMA, and reduced BMI was associated with myopenia when employing ASMI by DXA. Finally, we highlight the need not to generalize the term "sarcopenia" in clinical studies assessing imaging parameters of body composition. The use of the terms myopenia and/or myosteatosis would be more adequate, because CT allows the assessment of muscle composition and not strength or physical performance.