The impact of systemic hypertension on outcomes in hospitalized COVID-19 patients - a systematic review.

Background: Several observational reports from different parts of the world have shown that systemic hypertension (hypertension) was the single commonest comorbid condition in hospitalized COVID-19 patients. Hypertension is also the most prevalent comorbidity reported among patients who developed severe disease, were admitted to Intensive Care Unit, needed mechanical ventilatory support, or who died on admission. The objective of this systematic review is to study the association between hypertension and specific clinical outcomes of COVID-19 disease which are- development of severe COVID-19 disease, need for admission in the intensive care unit (ICU) or critical care unit (CCU), need for mechanical ventilation or death.

The development of a machine learning algorithm for early detection of viral hepatitis B infection in Nigerian patients.

Access to Hepatitis B Virus (HBV) testing for people in low-resource settings has long been challenging due to the gold standard, enzyme immunoassay, being prohibitively expensive, and requiring specialised skills and facilities that are not readily available, particularly in remote and isolated laboratories. Routine pathology data in tandem with cutting-edge machine learning shows promising diagnostic potential. In this study, recursive partitioning ("trees") and Support Vector Machines (SVMs) were applied to interrogate patient dataset (n = 916) that comprised results for Hepatitis B Surface Antigen (HBsAg) and routine clinical chemistry and haematology blood tests.