Clinical trials

The duration of sensory and motor block after spinal anaesthesia varies widely between patients given the same dose of local anaesthetic. Much of this variability is explained by differences in lumbosacral cerebrospinal fluid volume, which cannot be measured routinely in clinical practice but is related to simple body measurements such as abdominal circumference and vertebral column length. This prospective observational study will develop and internally validate prediction models for the duration of sensory and motor block following spinal anaesthesia in adults undergoing elective surgery. Preoperative clinical and anthropometric variables will be recorded, and block regression will be assessed serially after intrathecal injection. Machine learning methods (lasso regression, ridge regression, random forest, extreme gradient boosting, and support vector regression) will be developed and compared against multivariable linear regression as the reference model. The aim is a practical tool that helps anaesthetists anticipate how long a spinal block will last in an individual patient, supporting decisions about case scheduling, supplementation, and discharge planning.

This study aims to evaluate peak airway pressure and respiratory mechanics during pressure-regulated volume control (PRVC) ventilation in patients undergoing elective laparoscopic abdominal surgery. Pneumoperitoneum and patient positioning during laparoscopic procedures can significantly affect respiratory mechanics, including airway pressures and lung compliance. The study will assess changes in peak airway pressure, dynamic compliance, and other ventilatory parameters during different intraoperative phases. The findings are expected to provide insights into optimizing ventilatory strategies to improve patient safety and minimize ventilator-associated complications during laparoscopic surgery.