Risk Factors for Relapse and/or Prolonged Glucocorticoid Therapy in Polymyalgia Rheumatica: Multicenter Study in 185 Patients.

BACKGROUND: In polymyalgia rheumatica (PMR) relapses and long-term GC dependency are common. We assessed risk factors for higher relapse rate and/or prolonged glucocorticoid therapy in PMR patients. METHODS: A multicenter and observational study (chart review) of PMR patients seen between 2006 and 2021 who had at least a 3-month follow-up period after starting GCs was performed. Results were expressed as median and interquartile range 25th-75th or mean ± standard deviation for numerical variables and percentage for categorical ones. Relapse versus nonrelapse groups were compared using Cox proportional analysis. Hazards ratios (HRs) with 95% confidence intervals (CIs) are reported. In all cases, a p value <0.05 was considered to indicate statistical significance. RESULTS: We included 185 patients (69.1% female). The median follow-up time was 17.1 months (interquartile range, 6.8-34.7). Incidence of relapses was 1.2 per 100 persons/month. In univariate analysis, PMR patients with a previous history of dyslipidemia had a lower risk of relapse (HR, 0.55; 95% CI, 0.33-0.94; p = 0.03); high-dose GC (HR, 2.35; 95% CI, 1.42-3.87; p = 0.001) and faster GC dose reduction had higher risk of relapse (HR, 3.04; 95% CI, 1.77-5.21; p = 0.001). In multivariate analysis, a previous history of dyslipidemia had a lower risk of relapse (HR, 0.54; 95% CI, 0.32-0.92; p = 0.023), and high dose of GC (HR, 2.46; 95% CI, 1.49-4.08; p = 0.001) remained the only risk factors for relapse. CONCLUSIONS: Lower doses of corticosteroids and a slow rate of reduction are critical to avoid relapse in PMR. Risk factors for higher relapse rate rely on therapy more than clinical characteristics of the patients at the time of diagnosis of PMR.

Does the Use of Immunosuppressive Drugs Impact on SARS-CoV-2 Infection Outcome? Data From A National Cohort of Patients With Immune-Mediated Inflammatory Diseases (SAR-COVID Registry).

BACKGROUND/OBJECTIVE: This study describes the impact of immunomodulatory and/or immunosuppressive (IM/IS) drugs in the outcomes of COVID-19 infection in a cohort of patients with immune-mediated inflammatory diseases (IMIDs). METHODS: Adult patients with IMIDs with a confirmed SARS-CoV-2 infection were included. Data were reported by the treating physician between August 13, 2020 and July 31, 2021. Sociodemographic data, comorbidities, and DMARDs, as well as clinical characteristics, complications, and treatment of the SARS-CoV-2 infection, were recorded. Descriptive analysis and multivariable logistic regression models were carried out. RESULTS: A total of 1672 patients with IMIDs were included, of whom 1402 were treated with IM/IS drugs. The most frequent diseases were rheumatoid arthritis (47.7%) and systemic lupus erythematosus (18.4%). COVID-19 symptoms were present in 95.2% of the patients. A total of 461 (27.6%) patients were hospitalized, 8.2% were admitted to the intensive care unit, and 4.4% died due to COVID-19.Patients without IM/IS treatment used glucocorticoids less frequently but at higher doses, had higher levels of disease activity, were significantly older, were more frequently hospitalized, admitted to the intensive care unit, and died due to COVID-19. After adjusting for these factors, treatment with IM/IS drugs was not associated with a worse COVID-19 outcome (World Health Organization-Ordinal Scale ≥5) (odds ratio, 1.24; 95% confidence interval, 0.73-2.06). CONCLUSIONS: SAR-COVID is the first multicenter Argentine registry collecting data from patients with rheumatic diseases and SARS-CoV-2 infection. After adjusting for relevant covariates, treatment with IM/IS drugs was not associated with severe COVID-19 in patients with IMIDs. STUDY REGISTRATION: This study has been registered in ClinicalTrials.gov under the number NCT04568421.

Sociodemographic and clinical factors associated with poor COVID-19 outcomes in patients with rheumatic diseases: data from the SAR-COVID Registry.

BACKGROUND/OBJECTIVE: This study aims to describe the course and to identify poor prognostic factors of SARS-CoV-2 infection in patients with rheumatic diseases. METHODS: Patients ≥ 18 years of age, with a rheumatic disease, who had confirmed SARS-CoV-2 infection were consecutively included by major rheumatology centers from Argentina, in the national, observational SAR-COVID registry between August 13, 2020 and July 31, 2021. Hospitalization, oxygen requirement, and death were considered poor COVID-19 outcomes. RESULTS: A total of 1915 patients were included. The most frequent rheumatic diseases were rheumatoid arthritis (42%) and systemic lupus erythematosus (16%). Comorbidities were reported in half of them (48%). Symptoms were reported by 95% of the patients, 28% were hospitalized, 8% were admitted to the intensive care unit (ICU), and 4% died due to COVID-19. During hospitalization, 9% required non-invasive mechanical ventilation (NIMV) or high flow oxygen devices and 17% invasive mechanical ventilation (IMV). In multivariate analysis models, using poor COVID-19 outcomes as dependent variables, older age, male gender, higher disease activity, treatment with glucocorticoids or rituximab, and the presence of at least one comorbidity and a greater number of them were associated with worse prognosis. In addition, patients with public health insurance and Mestizos were more likely to require hospitalization. CONCLUSIONS: In addition to the known poor prognostic factors, in this cohort of patients with rheumatic diseases, high disease activity, and treatment with glucocorticoids and rituximab were associated with worse COVID-19 outcomes. Furthermore, patients with public health insurance and Mestizos were 44% and 39% more likely to be hospitalized, respectively. STUDY REGISTRATION: This study has been registered in ClinicalTrials.gov under the number NCT04568421. Key Points • High disease activity, and treatment with glucocorticoids and rituximab were associated with poor COVID-19 outcome in patients with rheumatic diseases. • Some socioeconomic factors related to social inequality, including non-Caucasian ethnicity and public health insurance, were associated with hospitalization due to COVID-19.