Objectives We aimed to describe persistent symptoms and sequelae in patients with rheumatic and musculoskeletal diseases (RMD) after admission due to Covid-19, assessing the role of autoimmune rheumatic diseases (ARD) compared with and non-autoimmune rheumatic and musculoskeletal diseases (NARD) on persistent symptoms and sequelae. Methods We performed an observational study including RMD patients who attended a rheumatology clinic in Madrid that required admission due to Covid-19 (March to May 2020) and survived. The study began at discharge and ran until October 2020. Main outcomes were persistence of symptoms and sequelae related to Covid-19. The independent variable was the RMD group (ARD and NARD). Covariates included sociodemographics, clinical and treatment data. We ran a multivariate logistic regression model to assess the risk of the main outcomes by RMD group. Results We included 105 patients, of whom 51.5% had ARD and 68.57% reported at least 1 persistent symptom. Most frequent were dyspnea, fatigue, and chest pain. Sequelae were recorded in 31 patients. These included lung damage in 10.4% of patients, lymphopenia in 10%, a central retinal vein occlusion, and an optic neuritis. Two patients died. Eleven patients required readmission owing to Covid-19 problems (16.7% ARD vs 3.9% NARD; p = 0.053). No statistically significant differences were found between RMD groups in the final models. Conclusions Many RMD patients have persistent symptoms, as in other populations. Lung damage is the most frequent sequela. ARD compared with NARD does not seem to differ in terms of persistent symptoms or consequences, although ARD might have more readmissions due to Covid-19.
OBJECTIVES: To describe persistent symptoms and consequences in Rheumatic and Musculoskeletal diseases (RMD) discharged from the hospital after Covid-19; to assess the roll of autoimmune rheumatic diseases (ARD) compared to and non-autoimmune rheumatic and musculoskeletal diseases (NARD) on persistent symptoms and consequences. METHODS: We performed a cross-sectional observational study. RMD attended at a rheumatology outpatient clinic in Madrid with Covid-19 that required hospital admission were included. The main outcomes were persistence of symptoms and health consequences related to Covid19 after discharge. Independent variable was RMD group (ARD and NARD) and covariates were sociodemographic, clinical, and treatments. We ran a multivariable logistic regression model to assess the risk by RMD group on main outcomes. RESULTS: We included 105 patients and 51.5% had ARD. 68.57% reported at least one persistent symptom. The most frequent were dyspnea, fatigue, and chest pain. 31 patients had consequences. Lung damage was found in 11.4% of the patients, 18% had blood test abnormalities (10% lymphopenia), two died, one developed central retinal vein occlusion and one patient developed optic neuritis. 11 patients required readmission due to Covid-19 problems (16.7% ARD vs 3.9% NARD; p=0.053). No statistically significant differences by RMD groups were found in the final models. CONCLUSION: Many RMD patients have persistent symptoms, similar to other populations. This study also highlights that lung damage is the most frequent consequence. ARD compared to NARD does not seem to differ in terms of persistent symptoms or consequences, although ARD might have a greater number of readmissions due to Covid-19.
The emergence of Large Language Models (LLM) with remarkable performance such as ChatGPT and GPT-4, has led to an unprecedented uptake in the population. One of their most promising and studied applications concerns education due to their ability to understand and generate human-like text, creating a multitude of opportunities for enhancing educational practices and outcomes. The objective of this study is two-fold: to assess the accuracy of ChatGPT/GPT-4 in answering rheumatology questions from the access exam to specialized medical training in Spain (MIR), and to evaluate the medical reasoning followed by these LLM to answer those questions. A dataset, RheumaMIR, of 145 rheumatology-related questions, extracted from the exams held between 2010 and 2023, was created for that purpose, used as a prompt for the LLM, and was publicly distributed. Six rheumatologists with clinical and teaching experience evaluated the clinical reasoning of the chatbots using a 5-point Likert scale and their degree of agreement was analyzed. The association between variables that could influence the models' accuracy (i.e., year of the exam question, disease addressed, type of question and genre) was studied. ChatGPT demonstrated a high level of performance in both accuracy, 66.43%, and clinical reasoning, median (Q1-Q3), 4.5 (2.33-4.67). However, GPT-4 showed better performance with an accuracy score of 93.71% and a median clinical reasoning value of 4.67 (4.5-4.83). These findings suggest that LLM may serve as valuable tools in rheumatology education, aiding in exam preparation and supplementing traditional teaching methods.
Introduction: We have previously shown that trained-immunity-based vaccines, namely TIbV, significantly reduce the rate of recurrent infections, both of the respiratory tract (RRTI) and urinary tract infections (RUTI) in SAD patients on disease-modifying drugs (DMARDs). Objective: We evaluated the frequency of RRTI and RUTI from 2018 to 2021 in those SAD patients that received TIbV until 2018. Secondarily, we evaluated the incidence and clinical course of COVID-19 in this cohort. Methods: A retrospective observational study was conducted in a cohort of SAD patients under active immunosuppression immunized with TIbV (MV130 for RRTI and MV140 for RUTI, respectively). Results: Forty-one SAD patients on active immunosuppression that were given TIbV up to 2018 were studied for RRTI and RUTI during the 2018–2021 period. Approximately half of the patients had no infections during 2018–2021 (51.2% no RUTI and 43.5% no RRTI at all). When we compared the 3-year period with the 1-year pre-TIbV, RRTI (1.61 ± 2.26 vs. 2.76 ± 2.57; p = 0.002) and RUTI (1.56 ± 2.12 vs. 2.69 ± 3.07; p = 0.010) episodes were still significantly lower. Six SAD patients (four RA; one SLE; one MCTD) with RNA-based vaccines were infected with SARS-CoV-2, with mild disease. Conclusions: Even though the beneficial protective effects against infections of TIbV progressively decreased, they remained low for up to 3 years, with significantly reduced infections compared to the year prior to vaccination, further supporting a long-term benefit of TIbV in this setting. Moreover, an absence of infections was observed in almost half of patients.
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