Highlights CT severity score (CSS) could predict ICU admission, intubation, and mortality. Reticular pattern in lung CT scans, could be protective against adverse outcomes. CSS was weakly correlated with initial qSOFA score. CSS could not predict the length of stay in hospital.

Surface anatomy is a core component of human anatomy in clinical practice. It allows clinicians to assess patients accurately and quickly; however, recent studies have revealed variability among individuals and ethnicities. The aim of this study is to investigate possible variations in adult thoracic and abdominal surface anatomy landmarks in an Iranian population. This study used 100 thoracoabdominal CT scans (mean age: 47 ± 17 years, age range: 20-77 years, 47% females), noted the most common locations of clinically relevant surface markings, and analyzed correlations between these variables and age or gender. While many common surface markings in Iranians were consistent with the evidence-based literature, there were some differences. In relation to the corresponding segments of the vertebral column, the superior vena cava formation and the lower border of the pleura adjacent to the vertebral column and right kidney tended to be at higher levels in adult Iranians than a Caucasian population. There were also discrepancies between the Iranian population and commonly-referenced medical textbooks and recent evidence-based literature concerning the vertebral levels of the diaphragmatic openings of the esophagus, aorta, and inferior vena cava. This study emphasizes the need to consider evidence-based reappraisals of surface anatomy to guide clinical practice. Much of our current knowledge of surface anatomy is based on older studies of cadavers rather than living people, and does not take ethnic and individual variations into consideration.

Our data significantly differs from previously reported mutation frequencies for codon 526 (CAC to GAC) among Italian isolates (40.1%) and Greek isolates (17.6%). Phenotypic testing is time-consuming and requires laboratory resources. Microarray rpoB is useful in detecting rifampicin resistance-determining region-associated site mutations of rifampicin-resistant M. tuberculosis isolates.