Does the use of corticosteroids and immunosuppressants increase the risk of COVID-19 infection among people with systemic lupus erythematosus?

OBJECTIVE

An important clinical question is whether the use of immunosuppressants or corticosteroids increases the risk of incident COVID-19 disease among patients with SLE. To address this question, we examined the incidence of COVID-19 infection in a large SLE cohort.

METHODS

This study was based on a single-centre cohort of patients with SLE seen quarterly from March 2020 to August 2022. Clinical information from these visits was augmented with information on COVID-19 infections and vaccinations obtained from the electronic medical records and by patient self-report. We compared treated and untreated patients with respect to the incidence of COVID-19 infection per person month. Statistical significance was assessed based on logistic regression models.

RESULTS

We observed 339 incident cases of COVID-19 experienced over 24 614 person-months of follow-up from 1052 different patients. The risk of infection per person-month of follow-up was similar among those not on prednisone (1.37%), on moderate doses of prednisone (<7 mg/day) (1.44%) and those on higher doses (1.52%) (p=0.87 for difference). We observed an elevated risk among those taking belimumab, however, after adjustment for potential confounding variables, the increased risk was not statistically significant (rate ratio 1.4, 95% CI 0.88 to 2.24, p=0.16) There was no evidence of an increased risk among those taking mycophenolate, methotrexate or azathioprine.

CONCLUSION

It is reassuring that there was not strong evidence of an increased risk of infection among those taking prednisone or other immunosuppressants. However, given the range of our CIs, moderate effects of these medications on COVID-19 risk cannot be completely ruled out.

Prevalence, incidence and cause-specific mortality of rheumatoid arthritis-associated interstitial lung disease among older rheumatoid arthritis patients

OBJECTIVE

We aimed to investigate the prevalence, incidence and cause-specific mortality of RA-associated interstitial lung disease (RA-ILD) among older US patients with RA.

METHODS

We performed a nationwide cohort study using Medicare claims data (parts A, B and D for 2008-2017). RA was identified with a validated algorithm using RA diagnosis codes and DMARD prescription. RA-ILD was identified with a validated algorithm using ILD diagnosis codes by a rheumatologist/pulmonologist. RA-ILD was categorized as prevalent or incident relative to the initial RA observation (baseline/index date). We compared the total mortality of RA-ILD to RA without ILD using multivariable Cox regression, adjusting for baseline covariates. For cause-specific mortality, Fine and Gray subdistribution hazard ratios (sdHRs) were estimated to handle competing risks of alternative mortality causes.

RESULTS

Among 509 787 RA patients (mean age 72.6 years, 76.2% female), 10 306 (2.0%) had prevalent RA-ILD at baseline. After baseline, 13 372 (2.6%) developed RA-ILD during 1 873 127 person-years of follow-up (median 3.0 years/person). During follow-up, 38.7% of RA-ILD patients died compared with 20.7% of RA patients without ILD. After multivariable adjustment, RA-ILD had an HR of 1.66 (95% CI 1.60, 1.72) for total mortality. Accounting for competing risk of other causes of death, RA-ILD had an sdHR of 4.39 (95% CI 4.13, 4.67) for respiratory mortality and an sdHR of 1.56 (95% CI 1.43, 1.71) for cancer mortality compared with RA without ILD.

CONCLUSIONS

RA-ILD was present or developed in nearly 5% of patients in this nationwide study of older patients with RA. Compared with RA without ILD, RA-ILD was associated with excess total, respiratory and cancer mortality that was not explained by measured factors.

A Conceptual Model of Biopsychosocial Mechanisms of Transition from Acute to Chronic Postsurgical Pain in Children and Adolescents

Acute and chronic pain are highly prevalent and impactful consequences of surgery across the lifespan, yet a comprehensive conceptual model encompassing biopsychosocial factors underlying acute to chronic pain transition is lacking, particularly in youth. Building on prior chronic postsurgical pain models, we propose a new conceptual model of biopsychosocial mechanisms of transition from acute to chronic postsurgical pain. This review aims to summarize existing research examining key factors underlying acute to chronic postsurgical pain transition in order to guide prevention and intervention efforts aimed at addressing this health issue in children. As pain transitions from acute nociceptive pain to chronic pain, changes in the peripheral and central nervous system contribute to the chronification of pain after surgery. These changes include alterations in sensory pain processing and psychosocial processes (psychological, behavioral, and social components), which promote the development of chronic pain. Patient-related premorbid factors (eg, demographic factors, genetic profile, and medical factors such as premorbid pain) may further modulate these changes. Factors related to acute injury and recovery (eg, surgical and treatment factors), as well as biological response to surgery (eg, epigenetic, inflammatory, and endocrine factors), may also influence this process. Overall, longitudinal studies examining temporal pathways of biopsychosocial processes including both risk and resiliency factors will be essential to identify the mechanisms involved in the transition from acute to chronic pain. Research is also needed to unravel connections between the acute pain experience, opioid exposure, and sensory pain processing during acute to chronic pain transition. Furthermore, future studies should include larger and more diverse samples to more fully explore risk factors in a broader range of pediatric surgeries. The use of conceptual models to guide intervention approaches targeting mechanisms of transition from acute to chronic pain will significantly advance this field and improve outcomes for children and adolescents undergoing surgery.