COVID-19 in Patients With Rheumatic Diseases: Is There a Need to Worry?

BACKGROUND/OBJECTIVES: SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), first described in December 2019, has infected more than 33 million people and claimed more than 1 million deaths worldwide. Rheumatic diseases are chronic inflammatory diseases, the prevalence and impact of which in COVID-19 patients are poorly known. We performed a pooled analysis of published data intending to summarize clinical presentation and patient outcomes in those with established rheumatic disease diagnosis and concurrent COVID-19. METHODS: PubMed and Google Scholar were searched to identify studies reporting data about rheumatic disease patients who were diagnosed with SARS-CoV-2 infection and published until July 22, 2020. Random-effects models were used to estimate the pooled incidence and rates of hospitalization, intensive care unit admission, and mortality among these patients, and interstudy heterogeneity was identified using I2 statistics with greater than 75% value indicating substantial interstudy variation. RESULTS: Twenty studies were included, giving a total sample size of 49,099 patients positive for SARS-CoV-2. Of 49,099 COVID-19 patients, a total of 1382 were also diagnosed with a rheumatic disease in the past. The random-effects pooled prevalence of COVID-19 among rheumatic disease patients was found to be 0.9%. The rates of hospitalization, intensive care unit admission, and mortality were 70.7%, 11.6%, and 10.2%, respectively. CONCLUSIONS: Although the prevalence of SARS-CoV-2 infection is not dramatically high in rheumatic disease patients, concurrent COVID-19 does seem to play a role in determining disease severity and outcomes to some extent. Further studies are needed to give conclusive evidence about whether this subset of the population is at a higher risk of COVID-19 and related outcomes compared with the population at large.

Obesity a predictor of outcomes of COVID-19 hospitalized patients-A systematic review and meta-analysis.

Coronavirus disease 2019 (COVID-19) pandemic is a global health crisis. Very few studies have reported association between obesity and severity of COVID-19. In this meta-analysis, we assessed the association of obesity and outcomes in COVID-19 hospitalized patients. Data from observational studies describing the obesity or body mass index and outcomes of COVID-19 hospitalized patients from December 1, 2019, to August 15, 2020, was extracted following PRISMA guidelines with a consensus of two independent reviewers. Adverse outcomes defined as intensive care units, oxygen saturation less than 90%, invasive mechanical ventilation, severe disease, and in-hospital mortality. The odds ratio (OR) and 95% confidence interval (95% CI) were obtained and forest plots were created using random-effects models. A total of 10 studies with 10,233 confirmed COVID-19 patients were included. The overall prevalence of obesity in our study was 33.9% (3473/10,233). In meta-analysis, COVID-19 patient with obesity had higher odds of poor outcomes compared with better outcomes with a pooled OR of 1.88 (95% CI: 1.25-2.80; p = 0.002), with 86% heterogeneity between studies (p < 0.00001). Our study suggests a significant association between obesity and COVID-19 severity and poor outcomes. Our results findings may have important suggestions for the clinical management and future research of obesity and COVID-19.

Age-Adjusted Risk Factors Associated with Mortality and Mechanical Ventilation Utilization Amongst COVID-19 Hospitalizations-a Systematic Review and Meta-Analysis.

The increasing COVID-19 cases in the USA have led to overburdening of healthcare in regard to invasive mechanical ventilation (IMV) utilization as well as mortality. We aim to identify risk factors associated with poor outcomes (IMV and mortality) of COVID-19 hospitalized patients. A meta-analysis of observational studies with epidemiological characteristics of COVID-19 in PubMed, Web of Science, Scopus, and medRxiv from December 1, 2019 to May 31, 2020 following MOOSE guidelines was conducted. Twenty-nine full-text studies detailing epidemiological characteristics, symptoms, comorbidities, complications, and outcomes were included. Meta-regression was performed to evaluate effects of comorbidities, and complications on outcomes using a random-effects model. The pooled correlation coefficient (r), 95% CI, and OR were calculated. Of 29 studies (12,258 confirmed cases), 17 reported IMV and 21 reported deaths. The pooled prevalence of IMV was 23.3% (95% CI: 17.1-30.9%), and mortality was 13% (9.3-18%). The age-adjusted meta-regression models showed significant association of mortality with male (r: 0.14; OR: 1.15; 95% CI: 1.07-1.23; I 2: 95.2%), comorbidities including pre-existing cerebrovascular disease (r: 0.35; 1.42 (1.14-1.77); I 2: 96.1%), and chronic liver disease (r: 0.08; 1.08 (1.01-1.17); I 2: 96.23%), complications like septic shock (r: 0.099; 1.10 (1.02-1.2); I 2: 78.12%) and ARDS (r: 0.04; 1.04 (1.02-1.06); I 2: 90.3%), ICU admissions (r: 0.03; 1.03 (1.03-1.05); I 2: 95.21%), and IMV utilization (r: 0.05; 1.05 (1.03-1.07); I 2: 89.80%). Similarly, male (r: 0.08; 1.08 (1.02-1.15); I 2: 95%), comorbidities like pre-existing cerebrovascular disease (r: 0.29; 1.34 (1.09-1.63); I 2:93.4%), and cardiovascular disease (r: 0.28; 1.32 (1.1-1.58); I 2: 89.7%) had higher odds of IMV utilization. COVID-19 patients with comorbidities including cardiovascular disease, cerebrovascular disease, and chronic liver disease had poor outcomes. Diabetes and hypertension had higher prevalence but no association with mortality and IMV. Our study results will be helpful in right allocation of resources towards patients who need them the most.