Effect of Nalmefene on the Quality of Resuscitation in Patients Under General Anesthesia

Postoperative recovery is an important part of the patient's experience. A good recovery period is an important guarantee for the recovery of postoperative organs and functions after surgery. However, the delay in awakening after general anesthesia remains one of the biggest challenges facing anesthesiologists. The time of resuscitation depends on patient factors, effects of anesthetic factors, duration of surgery, and painful stimulation. The delay of recovery after anesthesia was mainly caused by the use of anesthetic drugs during the perioperative period. The drugs commonly used during the perioperative period are opioid analgesics, sedatives and muscle relaxants. Studies have shown that intravenous opioids are more difficult to control than neuromuscular relaxants. Opioids can extend the recovery time after anesthesia by direct sedation of opioid receptors. It also reduces the sensitivity of brainstem chemoreceptors to carbon dioxide, leading to dose-dependent respiratory depression and hypercapnia, which affects the removal of volatile substances and carbon dioxide, and ultimately leads to coma. In addition, the active metabolites of some opioids can prolong the duration of action, especially in the case of impaired renal function, which can lead to delayed awakening. As an opioid antagonist, nalmefene can inhibit or reverse the respiratory inhibition, sedation and hypotension effects of opioid drugs. Moreover, it has no opioid excitatory activity, does not produce respiratory inhibition, hallucinogenic effect or pupil dilation. In terms of inducing wakefulness during anesthesia, nalmefene can effectively reverse the sedative effect caused by opioids. There have been reports at home and abroad that nalmefene can be used to improve the effect of post-anesthesia resuscitation and reduce agitation during the waking period, but there is still a lack of large sample and well-designed randomized controlled studies to provide important data on how to improve the qua