The statistical portion is a vital component of any research study. The research methodology and the application of statistical tools and techniques have evolved over the years and have significantly helped the research activities throughout the globe. The results and inferences are not accurately possible without proper validation with various statistical tools and tests. The evidencebased anesthesia research and practice has to incorporate statistical tools in the methodology right from the planning stage of the study itself. Though the medical fraternity is well acquainted with the significance of statistics in research, there is a lack of in-depth knowledge about the various statistical concepts and principles among majority of the researchers. The clinical impact and consequences can be serious as the incorrect analysis, conclusions, and false results may construct an artificial platform on which future research activities are replicated. The present tutorial is an attempt to make anesthesiologists aware of the various aspects of statistical methods used in evidence-based research and also to highlight the common areas where maximum number of statistical errors are committed so as to adopt better statistical practices.

The management of cesarean section in kyphoscoliotic patient is challenging. The respiratory changes and increased metabolic demands due to pregnancy may compromise the limited respiratory reserves in such patients. Presence of other comorbidities like malaria and respiratory tract infection will further compromise the effective oxygenation. We report a case of kyphoscoliosis along with malaria and acute respiratory distress syndrome for urgent cesarean section.

We present three patients with spontaneous intracranial hypotension who failed conservative treatment and were treated with image-guided epidural blood patch close to the cerebrospinal fluid (CSF) leak site. Each patient achieved significant long-term improvement of clinical symptoms and CSF leak related image findings.