Official websites use. Share sensitive information only on official, secure websites. Correspondence to Dr Sophie Georgin-lavialle; sophie. This study aimed to describe epidemiological features associated with severe disease form and death. Impact of SAID on severity of SARS-CoV-2 infection was analysed using multinomial logistic regression for severity in three classes mild, moderate and severe with mild status as reference.
Fine-Gray regression model for length of hospital stay and binomial logistic regression model for risk of death at 30 days. We identified patients with SAID sex ratio 0. Ten adults developed severe form 8. Six patients died. All children had a benign disease. Associated comorbidities are more important than the underlying SAID, for developing a severe form or dying.
Patients with immune disorders were a concern of developing a severe form of COVID especially those with systemic autoinflammatory diseases SAIDs in which, the innate immune system is improperly activated. It was initially difficult to predict if patients with SAID might develop an excessive inflammatory response when they contracted the virus. Our secondary objectives were to assess whether the risk correlated to either the disease itself, the existence of comorbidities or the exposure to anti-inflammatory and immunosuppressive medications.
We assessed and classified the severity of COVID according to the level of care needed for each patient. Cases of patients with inflammatory rheumatic and musculoskeletal diseases and highly suspected or confirmed COVID were reported retrospectively. The individual data regarding diagnosis and specific ongoing treatments for inflammatory rheumatic and musculoskeletal diseases were captured from physicians via an electronic Case Report Form available online through a secured access.
The present study was conducted on the database locked in 15 April The secondary outcomes were to compare frequency of deaths and duration of hospital stay in patients with or without SAID. Quantitative variables were expressed as means SD in the case of normal distribution or medians IQR otherwise. Normality of distributions was assessed using histograms and the Shapiro-Wilk test. Impact of SAID on severity of SARS-CoV-2 infection was analysed, before and after matching, using multinomial logistic regression for severity in three classes mild, moderate and severe with mild status as reference , Fine-Gray regression model for length of hospital stay with death as competing event and binomial logistic regression model with link logit for risk of death at 30 days.
