Glomerulonephritis associated with systemic sclerosis: a case report.

BACKGROUND: Systemic sclerosis is a multiorgan autoimmune disease that can overlap with other rheumatologic disorders; however, co-occurrence with antineutrophil cytoplasmic antibody-associated vasculitis is rare. CASE PRESENTATION: A 39-year-old Persian female patient with systemic sclerosis according to American College of Rheumatology/European League Against Rheumatism 2013 criteria with a disease duration of 6 years was admitted to the hospital due to a rise in creatinine level in July 2021. She had complaints of nasal speech and feeling of nasal perforation. The first symptoms of antineutrophil cytoplasmic antibody-associated vasculitis had started 5 years earlier with palpable purpura in the lower limbs, hemoptysis, and positive perinuclear (p)-antibody-associated vasculitis level (> 300 AU/mL). Still, the diagnosis was not achieved due to the patient's reluctance to undergo a biopsy. She was treated with azathioprine (150 mg/day) and prednisolone (10 mg/day) during the 5-year follow-up. Her renal biopsy results showed cortical renal tissue with a cellular crescent in more than 50% of the specimen, rupture of the Bowman capsule and the glomerular basement membrane, peri-glomerular inflammation, and mild tubular atrophy in microscopic examinations. The immunofluorescence study resulted in a granular pattern of immune deposits along the glomerular basement membrane, mesangial tissue, and tubular basement membranes. CONCLUSION: We reported a rare case of comorbid systemic sclerosis and antineutrophil cytoplasmic antibody-associated vasculitis with nasal perforation. Her renal biopsy showed immune deposits along the glomerular basement membrane, mesangial tissue, and tubular basement membranes. Overlapping with other collagen vascular diseases can occur in rheumatology patients with uncommon manifestations. In systemic sclerosis, renal involvement in the form of glomerulonephritis is infrequent, and comorbid systemic lupus erythematosus or antineutrophil cytoplasmic antibody-associated vasculitis should be considered.

Cardiopulmonary predictors of mortality in patients with COVID-19: What are the findings?

BACKGROUND: Since 2019, coronavirus disease 2019 (COVID-19) has been the leading cause of mortality worldwide. AIMS: To determine independent predictors of mortality in COVID-19, and identify any associations between pulmonary disease severity and cardiac involvement. METHODS: Clinical, laboratory, electrocardiography and computed tomography (CT) imaging data were collected from 389 consecutive patients with COVID-19. Patients were divided into alive and deceased groups. Independent predictors of mortality were identified. Kaplan-Meier analysis was performed, based on patients having a troponin concentration>99th percentile (cardiac injury) and a CT severity score ≥18. RESULTS: The mortality rate was 29.3%. Cardiac injury (odds ratio [OR] 2.19, 95% confidence interval [CI] 1.14-4.18; P=0.018), CT score ≥18 (OR 2.24, 95% CI 1.15-4.34; P=0.017), localized ST depression (OR 3.77, 95% CI 1.33-10.67; P=0.012), hemiblocks (OR 3.09, 95% CI 1.47-6.48; P=0.003) and history of leukaemia/lymphoma (OR 3.76, 95% CI 1.37-10.29; P=0.010) were identified as independent predictors of mortality. Additionally, patients with cardiac injury and CT score ≥ 18 were identified to have a significantly shorter survival time (mean 14.21 days, 95% CI 10.45-17.98 days) than all other subgroups. There were no associations between CT severity score and electrocardiogram or cardiac injury in our results. CONCLUSIONS: Our findings suggest that using CT imaging and electrocardiogram characteristics together can provide a better means of predicting mortality in patients with COVID-19. We identified cardiac injury, CT score ≥18, presence of left or right hemiblocks on initial electrocardiogram, localized ST depression and history of haematological malignancies as independent predictors of mortality in patients with COVID-19.

Cardiopulmonary predictors of mortality in patients with COVID-19: What are the findings? prédicteurs cardio-pulmonaire de la mortalité chez les patients ayant la COVID-19 : quel éclairage?

Background. – Since 2019, coronavirus disease 2019 (COVID-19) has been the leading cause of mortality worldwide. Aims. – To determine independent predictors of mortality in COVID-19, and identify any associations between pulmonary disease severity and cardiac involvement. Methods. – Clinical, laboratory, electrocardiography and computed tomography (CT) imaging data were collected from 389 consecutive patients with COVID-19. Patients were divided into alive and deceased groups. Independent predictors of mortality were identified. Kaplan-Meier analysis was performed, based on patients having a troponin concentration > 99th percentile (cardiac injury) and a CT severity score ≥ 18. Results. – The mortality rate was 29.3%. Cardiac injury (odds ratio [OR] 2.19, 95% confidence interval [CI] 1.14–4.18;P = 0.018), CT score ≥ 18 (OR 2.24, 95% CI 1.15–4.34;P = 0.017), localized ST depression (OR 3.77, 95% CI 1.33–10.67;P = 0.012), hemiblocks (OR 3.09, 95% CI 1.47–6.48;P = 0.003) and history of leukaemia/lymphoma (OR 3.76, 95% CI 1.37–10.29;P = 0.010) were identified as independent predictors of mortality. Additionally, patients with cardiac injury and CT score ≥ 18 were identified to have a significantly shorter survival time (mean 14.21 days, 95% CI 10.45–17.98 days) than all other subgroups. There were no associations between CT severity score and electrocardiogram or cardiac injury in our results. Conclusions. – Our findings suggest that using CT imaging and electrocardiogram characteristics together can provide a better means of predicting mortality in patients with COVID-19. We identified cardiac injury, CT score ≥ 18, presence of left or right hemiblocks on initial electrocardiogram, localized ST depression and history of haematological malignancies as independent predictors of mortality in patients with COVID-19.

Coronavirus disease 2019 in patients with Behcet's disease: a report of 59 cases in Iran.

OBJECTIVES: To present the clinical characteristics, disease course, management, and outcomes of COVID-19 infection in patients with Behcet's disease (BD). METHODS: In this retrospective cohort study, we retrieved BD patients with definite diagnosis of COVID-19 infection. Demographic data, comorbidities, features related both to BD and COVID-19 infection, treatments, and outcomes were collected. Comparisons between patients with or without hospitalization were performed. All statistical analyzes were performed using SPSS version 25. We considered p < 0.05 statistically significant. RESULTS: We identified 61 episodes of COVID-19 infection in 59 BD patients. The prevalence was 0.69%. The median age was 45 years (IQR = 20), and the median disease duration was 162 months (IQR = 195). BD features were similar except for higher rate of arterial involvement and positive pathergy test in infected patients. Thirty-five episodes (62.5%) happened in non-active patients; 39% had a comorbid disease. COVID manifestations were the same as the general population. Flu-like symptoms were the most common (85%), followed by fever (66%), ageusia/anosmia (56%), headache (51%), and pulmonary involvement (48%). There was no change in BD symptoms in 74%. Fifteen patients (25.4%) were hospitalized, and one patient (1.7%) died. Receiving glucocorticoids (p < 0.03) and cytotoxic drugs (p < 0.02) were associated with an increased rate of hospitalization. CONCLUSION: The incidence of COVID-19 infection in BD patients was not higher than general population in Iran. They showed milder form of disease with lower morbidity and mortality rate. Most were on immunosuppressive drugs, or had a comorbidity apart from BD. No significant effect on BD course was shown. Key Points • The incidence of COVID-19 infection in patients with Behcet's disease is not higher. • They showed milder form of infection with lower morbidity and mortality rate. • No significant effect on Behcet's disease course was shown with COVID19 infection. • BD patients can be managed according to the guidelines used for general population.

Coronavirus disease 2019 (COVID-19) in patients with systemic autoimmune diseases or vasculitis: radiologic presentation.

Coronavirus disease 2019 (COVID-19) has transformed into a worldwide challenge, since its outbreak in December 2019. Generally, patients with underlying medical conditions are at a higher risk of complications and fatality of pneumonias. Whether patients with systemic autoimmune diseases or vasculitides, are at increased risk for serious complications associated with COVID-19, is not established yet. Computed tomography (CT) has been employed as a diagnostic tool in the evaluation of patients with clinical suspicion of severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection with a reported sensitivity of higher than reverse transcription polymerase chain reaction (RT-PCR) test. Multifocal bilateral ground-glass opacities (GGOs) with peripheral and posterior distribution and subsequent superimposition of consolidations are considered the main imaging features of the disease in chest CT. However, chest CT images of underlying rheumatologic or autoimmune diseases or vasculitides, such as systemic sclerosis, systemic lupus erythematosus, rheumatoid arthritis, Behçet disease, and granulomatosis with polyangiitis, especially those with extensive lung involvement can overshadow or obliterate features of COVID-19. In addition, CT findings of such diseases may resemble manifestations of COVID-19 (such as ground glass opacities with or without superimposed consolidation), making the diagnosis of viral infections, more challenging on imaging. Comparing the imaging findings with prior studies (if available) for any interval change is the most helpful approach. Otherwise, the diagnosis of COVID-19 in such patients must be cautiously made according to the clinical context and laboratory results, considering a very high clinical index of suspicion on imaging.