Urinary tissue factor (uTF), tissue factor pathway inhibitor (TFPI) and plasmin as novel biomarkers in early diagnosis of lupus nephritis.

Systemic lupus erythematosus (SLE) is an autoimmune inflammatory disease, with multi systematic affection. Lupus nephritis (LN) is the most frequent cause of renal damage in SLE patients with variable presentations that may progress to end stage renal failure. Coagulation disorders are frequently reported in SLE and LN with higher mortality rates. Renal biopsy is an invasive process, and the existing indicators for LN diagnosis and activity are unreliable. New urinary biomarkers with significant validity, safety, and accuracy are the current focus of most studies. Our study sought to assess the value of urinary tissue factor (uTF), tissue factor pathway inhibitor (TFPI), and plasmin as biomarkers for the early identification and detection of LN and its activity. This was a cross-sectional study, included 100 subjects (80 SLE patients, and 20 healthy controls), they were recruited from the Internal Medicine department, Rheumatology and Nephrology units and outpatient's clinics at Assiut University hospital between the period of 2020 and 2022. All patients underwent full history taking, clinical evaluation, and activity scoring calculation and laboratory investigations. The results showed that the best diagnostic accuracy of LN was observed with TFPI (90% accuracy, sensitivity 80% and specificity 95% with p <0.001 at cutoff point of >193.2 ng/ml), followed by uTF (75.4% overall accuracy at cut off point of >12.6 ng/ml, sensitivity 90% and specificity 68% with p < 0.001) and plasmin (70.3% accuracy at cut off point of >30.5 ng/ml, sensitivity 55% and specificity 78% with p < 0.001). Urinary TFPI was the best predictor of LN occurrence with odd ratio of 4.34, (p < 0.001). In conclusion urinary TFPI could be used as a diagnostic marker for LN with high accuracy and an early predictor of LN.

Predictors of Neurological Presentations of COVID-19 Infected Patients in South Egypt, Aswan Governorate: A Single Center Study.

BACKGROUND: COVID-19 is a complex multisystem disease comprising multiple organ dysfunctions including neurologic manifestations. Some COVID-19 patients may present neurologic symptoms as the initial presentations of the disease. OBJECTIVE: We aim at investigating the frequency and the predictors of neurological manifestations in patients with confirmed COVID-19. METHODS: A retrospective cross-sectional single-center study analyzed COVID-19 positive patients with neurological manifestations from March to June 2020, in Aswan Governorate, Egypt. Demographic data, clinical, radiological and laboratory findings, comorbidities, and treatments were collected and analyzed. RESULTS: Out of the 905 confirmed COVID-19 patients; 422 patients (46.6%) had neurological manifestations and fulfilled the study inclusion criteria, 223 patients (52.8%) had central neurological disorders (CNS), 107 (25.4%) had peripheral neurological disorders (PNS), and 92 (21.8%) patients had non-specific neurological disorders. Age >50 years, diabetes mellitus, CORAD> III and smoking were predictors for neurological system affection. CONCLUSION: COVID-19 infection has been associated with numerous neurological deficits, especially in elderly patients. Central nervous system disorders were the most prevalent deficit with predominance of cerebrovascular events.