COVID-19 Infection In Patients With Autoimmune Rheumatic Diseases: Patient's Perspective And Descriptive Analysis From A Lower-Middle-Income Country.

The study was conducted to determine the severity of COVID-19 in autoimmune inflammatory rheumatic disease (AIRDs) patients and knowing their perceptions. All AIRDs cases with COVID-19 infection between December 2020 and February 2021 were included. A cross-sectional telephonic survey was conducted for perceptions. Twenty- one patients were analysed for severity of illness and 16(76.2%) for perceptions. Mean age was 44.8±14.8 years, with 11(52.4%) females. Two (9.5%) patients had severe disease, 6(28.6%) required hospitalisation, and none expired. Hypertension 7(33.3%) was the commonest comorbidity. Low dose steroids were the most used drug 9 (42.9%). Regarding perceptions, 10 out of 16 (62.5%) felt that AIRD made them vulnerable to COVID-19 infection. The most common reason of delay in seeking medical advice from the rheumatologist was closure of services for chronic diseases during the pandemic. Patients with AIRDs, receiving immunosuppressive treatment seem to be at a lower risk of developing a severe form of COVID-19 pneumonia.

Predicting Development Of Critical Illness In Patients With Covid-19 Presenting To A Tertiary Care Hospital In A Developing Country.

BACKGROUND: With the increasing number of COVID-19 patients and limited resources available to accommodate them, there is a need for risk stratification tools to ensure better utilization of resources. METHODS: We conducted a retrospective observational cohort study in patients discharged from the COVID designated areas of a large tertiary care hospital in Karachi, Pakistan from the 1st of May to the 31st of July, 2020. 581 patients were included and the COVID GRAM score was calculated at the time of admission and patients developing critical disease as per COVID GRAM study criteria (need of intensive care unit admission, invasive ventilation or death) after 24 hours of admission were noted. RESULTS: The mean age of the study population was 56.3±14.8 years. Patients that developed critical illness (as per COVID GRAM study criteria) beyond 24 hours after admission had higher COVID GRAM scores at admission versus those that did not (183.2±80.7 versus 130.3±42.6). The Area under the Receiver Operator Curve for the COVID gram score to predict critical illness in the study population was 0.802 (95% confidence interval, 0.753-0.850). On binary logistic multivariable regression analysis, the COVID GRAM and SOFA scores on admission and need of ICU admission during hospitalization were significant predictors of mortality 24 hours after admission. CONCLUSIONS: The COVID GRAM score is a useful risk assessment tool and can be used for appropriate allocation and prioritization of resources where they are most needed.