Objective: The aim of this study was to examine the effect of clinical specialty setting on the management of psoriatic arthritis (PsA) as well as disease activity/burden in Brazil.
Methods: This study is a post hoc analysis of the Brazilian population in a cross-sectional, observational study conducted in 17 countries. Patients were 18 years or older with suspected or confirmed PsA attending routine visits at participating sites. Primary end points were time from symptom onset to PsA diagnosis, from diagnosis to first conventional systemic disease-modifying antirheumatic drug (DMARD) or first biologic DMARD, and from first conventional systemic DMARD to first biologic DMARD. Potential associations were assessed using the Student t test or the Mann-Whitney U nonparametric test. Normality was tested using the Shapiro-Wilk and Kolmogorov-Smirnov tests. For qualitative variables, the χ2 test was adopted.
Results: Patients (n = 130) visited dermatology (n = 75) or rheumatology (n = 55) sites. All primary end points were similar between the 2 settings; however, dermatology patients had significantly greater enthesitis counts (2.1 vs 0.6; p = 0.002), absenteeism at work (Work Productivity and Activity Impairment, 19.7% vs 5.2%; p = 0.03), and pain (Health Assessment Questionnaire-Disability Index pain scale, 1.39 vs 1.01; p = 0.032), as well as worse quality of life related to psoriasis (Dermatology Life Quality Index total score, 8.5 vs 5.0; p = 0.019) and mental health (12-item Short-Form Health Survey, version 2.0 subscale, 42.4 vs 47.4; p = 0.029).
Conclusions: In Brazil, PsA disease burden and disease activity were influenced by clinical specialty. Irrespective of setting, patients experienced a delay in being diagnosed with PsA, reinforcing the need for collaborative management of PsA by rheumatologists and dermatologists for better outcomes in these patients.
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http://dx.doi.org/10.1097/RHU.0000000000001812 | DOI Listing |
Clinics (Sao Paulo)
January 2025
Department of Hematology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, PR China. Electronic address:
Background: The common drugs used for the treatment of Newly Diagnosed Multiple Myeloma (NDMM) include bortezomib and lenalidomide, but the adverse effects of lenalidomide cannot be ignored, especially when it is used in the initial therapy.
Methods: This retrospective study evaluated the efficacy and safety of a modified DVD regimen (pegylated liposomal doxorubicin, bortezomib, and dexamethasone) followed by lenalidomide in the treatment of NDMM. A total of 40 NDMM patients were treated with a reduced dose of pegylated liposomal doxorubicin (20 mg/m) on day 1, subcutaneous bortezomib (1.
Rural Remote Health
January 2025
Riverland Academy of Clinical Excellence (RACE), Riverland Mallee Coorong Local Health Network, South Australia Health, Murray Bridge, SA, Australia.
Ann Intern Med
January 2025
Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California (A.B., K.J.C., A.A.K.).
Background: Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) differ in their effects on body weight and risk for reoperation. However, it is unclear whether long-term health expenditures differ by procedure type in patients with diabetes.
Objective: To compare health expenditures 3 years before and 5.
Ann Intern Med
January 2025
Renal-Electrolyte Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (M.C.-P., R.B.M., C.M.P.).
Background: Prior studies indicate that 1% to 4% of Epstein-Barr virus (EBV)-seronegative recipients of EBV-seropositive donor (EBV D+/R-) kidneys develop posttransplant lymphoproliferative disorder (PTLD). However, these estimates are based on limited data that lack granularity.
Objective: To determine the associations between pretransplant EBV D+/R- and recipient EBV-seropositive status (R+) and the outcomes of PTLD and graft and patient survival among adult kidney transplant recipients.
Ann Intern Med
January 2025
Clinical Epidemiology and Research Center (CERC), Department of Biomedical Sciences, Humanitas University, and IRCCS Humanitas Research Hospital, Milan, Italy, and Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany (H.J.S.).
Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.
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