COVID-19 Mortality in Patients with Rheumatic Diseases: A Real Concern.

BACKGROUND: Coronavirus disease 2019 (COVID 19) is a worldwide pandemic that has devastated the world in a way that has not been witnessed since the Spanish Flu in 1918. In this study, we aim to investigate the outcomes of patients with rheumatic diseases infected with COVID-19 in Oman. METHODS: A multi-center retrospective cohort study included patients with underlying rheumatological conditions and COVID-19 infection. Data were collected through the electronic record system and by interviewing the patients through a standard questionnaire. RESULTS: 113 patients with different rheumatic diseases were included with the following rheumatological diagnoses: rheumatoid arthritis (40.7%), systemic lupus erythematosus (23.1%), psoriatic arthritis (8%), Behcet's disease (7%), ankylosing spondylitis (6.2%), other vasculitides, including Kawasaki disease (4.4%), and other diagnoses (10.6%). The mean (SD) age of patients was 43 (14) years, and 82.3% were female. The diagnosis of COVID-19 was confirmed by PCR test in 84.1% of the patients. The most common symptoms at the time of presentation were fever (86%), cough (81%), headache (65%), and myalgia (60%). Hospitalization due to COVID-19 infection was reported in 24.1% of the patients, and 52.2% of these patients had received some form of treatment. In this cohort, the intake of immunosuppressive and immunomodulating medications was reported in 91.1% of the patients. During the COVID-19 infection, 68% of the patients continued taking their medications. Comorbidities were present in 39.8% of the patients. Pregnancy was reported in 2% of the patients. The 30 days mortality rate was found to be 3.5%. Diabetes, obesity, and interstitial lung diseases (ILD) were the strongest risk factor for mortality (p-value 0.000, 0.000, and 0.001, respectively). Rituximab was given in 3.8% of the patients, and it was significantly associated with increased mortality among the patients (p-value <0.001). CONCLUSION: COVID-19 infection in patients with rheumatic diseases have an increased mortality rate in comparison to the general population, with diabetes, morbid obesity, chronic kidney diseases, interstitial lung disease, cardiovascular disease, obstructive lung disease, and liver diseases as comorbidities being the most severe risk factors associated with death. Greater care should be provided to this population, including the prompt need for vaccination.

D-dimer, Troponin, and Urea Level at Presentation With COVID-19 can Predict ICU Admission: A Single Centered Study.

Background: Identifying clinical-features or a scoring-system to predict a benefit from hospital admission for patients with COVID-19 can be of great value for the decision-makers in the health sector. We aimed to identify differences in patients' demographic, clinical, laboratory, and radiological findings of COVID-19 positive cases to develop and validate a diagnostic-model predicting who will develop severe-form and who will need critical-care in the future. Methods: In this observational retrospective study, COVID-19 positive cases (total 417) diagnosed in Al Kuwait Hospital, Dubai, UAE were recruited, and their prognosis in terms of admission to the hospital and the need for intensive care was reviewed until their tests turned negative. Patients were classified according to their clinical state into mild, moderate, severe, and critical. We retrieved all the baseline clinical data, laboratory, and radiological results and used them to identify parameters that can predict admission to the intensive care unit (ICU). Results: Patients with ICU admission showed a distinct clinical, demographic as well as laboratory features when compared to patients who did not need ICU admission. This includes the elder age group, male gender, and presence of comorbidities like diabetes and history of hypertension. ROC and Precision-Recall curves showed that among all variables, D dimers (>1.5 mg/dl), Urea (>6.5 mmol/L), and Troponin (>13.5 ng/ml) could positively predict the admission to ICU in patients with COVID-19. On the other hand, decreased Lymphocyte count and albumin can predict admission to ICU in patients with COVID-19 with acceptable sensitivity (59.32, 95% CI [49.89-68.27]) and specificity (79.31, 95% CI [72.53-85.07]). Conclusion: Using these three predictors with their cut of values can identify patients who are at risk of developing critical COVID-19 and might need aggressive intervention earlier in the course of the disease.

Prevalence and predictors of in-hospital mortality of patients hospitalized with COVID-19 infection.

BACKGROUND: The severity and mortality from COVID-19 infection vary among populations. The aim of this study was to determine the prevalence and predictors of mortality among patients hospitalized with COVID-19 infection in a tertiary care hospital in Oman. METHODS: We conducted a retrospective study using database that included: demographic, clinical characteristics, laboratory parameters, medications and clinical outcomes of all patients hospitalized in Royal Hospital, Muscat, Oman, between March 12, 2020 and December 1st 2020. Univariate and multivariate logistic regression was performed to investigate the relationship between each variable and the risk of death of COVID-19 infected patients. RESULTS: In total,1002 patients with COVID-19 infection with mean age of the cohort was 54±16 years (65% (n=650) male) were included, with an overall and intensive care unit (ICU) mortalities of 26% (n=257) and 42% (n=199/473), respectively. The prevalence of ICU admission was 47% (n=473) and the need for mechanical ventilation was 41% (n=413). The overall length of stay in the ICU was 13 (9-21) days. Adjusting for other factors in the model, the multivariable logistic regression demonstrated that in-hospital mortality in admitted COVID-19 patients was associated with old age (p<0.001), heart diseases (adjusted odds ratio (aOR), 1.84; 95% confidence interval (CI): 1.11-3.03; p=0.018), liver diseases (aOR, 4.48; 95% CI: 1.04-19.3; p=0.044), those with higher ferritin levels (aOR, 1.00; 95% CI: 1.00-1.00; p=0.006), acute respiratory distress syndrome (ARDS) (aOR, 3.20; 95% CI: 1.65-6.18; p=0.001), sepsis (aOR, 1.77; 95% CI: 1.12-2.80; p=0.022), and those that had ICU admission (aOR, 2.22; 95% CI: 1.12-4.38; p=0.022). CONCLUSION: In this cohort, mortality in hospitalized COVID-19 patients was high and was associated with advanced age, heart diseases, liver disease, high ferritin, ARDS, sepsis and ICU admission. These high-risk groups should be prioritized for COVID-19 vaccinations.

Diabetes mellitus as a comorbidity in COVID-19 infection in the United Arab Emirates.

OBJECTIVES: To compare risk factors and clinical outcomes among COVID-19 patients with or without diabetes in the United Arab Emirates (UAE). METHODS: Data of 350 COVID-19 positive patients, admitted to Al Kuwait Hospital in Dubai, UAE, from February to May 2020 was collected retrospectively, including demographic data, clinical symptoms, blood tests, as well as radiographical assessments, and clinical outcomes of COVID-19. The design of the study is a retrospective cohort study. RESULTS: COVID-19 patients with diabetes belong to an older age group, had a higher percentage of male patients, exhibited more lymphopenia and neutrophilia, and higher ferritin levels. Additionally, patients with diabetes presented fever and shortness of breath (SOB), displayed more bilateral airspace consolidation and opacities in their chest x-ray and CT scans, compared to non-diabetics. A higher percentage of critical, ICU-admitted, and death of COVID-19 cases in the diabetic group was also reported. This was along with a concomitant increase in C-reactive protein, procalcitonin, and lactate dehydrogenase levels. CONCLUSIONS: Diabetes is considered a comorbidity as diabetic patients showed more severe COVID-19 symptoms that led to critical clinical outcomes such as ICU admission and death.