To study the predictive value of neuromuscular monitor-based quantitative sensory testing for postoperative pain and opioid requirement

Effective post-operarative pain management remains a significant challenge in perioperative care of the patient. Treatment of post-operarative pain is an increasingly monitored measure for the quality of care offered to patients. Individual variability leads to varied pain experiences and affects responses to pain management among patients. Also, due to individual variability in pain sensitivity, standardized treatment protocols may not work equally well for all the patients. Although advances in analgesic techniques & multimodal pain management have improved postoperative pain control, there is still a considerable subset of patients who experience disproportionately severe pain leading to increased opioid requirement, prolonged hospital stay, delayed recovery and a higher risk of chronic post surgical pain. Anticipating such patients, who are likely to experience severe post -operative pain, could help clinicians tailor pain management strategies to improve outcomes.

Several traditional Quantitative Sensory Testing(QST) methods which includes pressure algometry, thermal testing and electrical stimulation, have shown efficacy in predicting post-operarative pain responses by assessing patients’ reaction to various sensory stimuli.

If a reliable correlation is established between preoperative stimulation response and postoperative pain intensity/opioid consumption, this method could offer a pragmatic and scalable solution for perioperative pain assessment, ultimately allowing clinicians to stratify patients based on their pain sensitivity and plan perioperative analgesia accordingly, enhancing both pain control and overall recovery.