When two viruses collide: coronavirus disease after hepatitis B virus reactivation.

The COVID-19 pandemic has exploded since the first cases were reported in Wuhan in December 2019, engulfing the globe. Many infected individuals are asymptomatic or have a mild or moderate disease. A subset of people with advanced age, the immunocompromised and those with chronic diseases, are prone to serious-to-critical illness. We report a fatal case of metastatic colorectal cancer survivor who developed COVID-19 after clinically reactivated hepatitis B virus (HBV) due to chemotherapy. The patient's COVID-19 illness was supposed to be related to her recent medical evaluation. Although being diagnosed with chronic HBV infection for decades, she was not treated with nucleotide analogue and the possibility to preclude HBV reactivation was missed. Moreover, infectious control practices must be draconian in order to save such a fragile population from infections.

Platelet Distribution Width and Increased D-Dimer at Admission Predicts Subsequent Development of ARDS in COVID-19 Patients.

In the current pandemic of coronavirus disease (COVID-19), the identification of the patients admitted with severe infection-who are disposed to a high risk of acute respiratory distress syndrome (ARDS) development, is of a major significance for the determination of the appropriate therapeutic strategy. Laboratory records in admission were retrospectively reviewed from 493 cases of severe COVID-19 divided into two groups: Group 1 with ARDS and Group 2 without ARDS. The platelet distribution width (PDW) difference between Group 1 and Group 2 is significant-15.10 ± 2.08 fl for those who developed ARDS versus 12.94 ± 2.12 fl for those without ARDS. The sensitivity and the specificity of this parameter is lower than that of D-dimer. After grouping of the PDW values into intervals and combining them with the rate of increase in D-dimer (D-PDWf index) to form a forecasting index, a significant increase in the specificity and sensitivity of the two parameters is identified-area under the ROC curve (AUC) is 0.874 for D-PDWf index, with respective AUC for PDW 0.768 and AUC for D-dimer 0.777. Conclusion: PDW is a significant predictive parameter at admission for subsequent development of ARDS in patients, with increased significance in combination with the degree of increase in D-dimer.