Articles: postoperative.
-
Post-operative visceral pain is common in early postoperative period after laparoscopic surgery. As a kappa opioid receptor agonist, the antinociceptive effects of nalbuphine in visceral pain are consistent across a multitude of experimental conditions irrespective of species. We hypothesized that preemptive nalbuphine can decrease the visceral pain for patients with incisional infiltration of ropivacaine after laparoscopic cholecystectomy. ⋯ Preemptive nalbuphine administered at a dose of 0.2 mg·kg-1 was safe and effective at reducing the postoperative visceral pain and supplemental analgesic use in patients undergoing laparoscopic cholecystectomy.
-
Reg Anesth Pain Med · Jun 2021
CommentAvoid suboptimal perioperative analgesia during major surgery by enhancing thoracic epidural catheter placement and hemodynamic performance.
Thoracic epidural analgesia (TEA) is an established gold standard for postoperative pain control especially following laparotomy and thoracotomy. The safety and efficacy of TEA is well known when the attention to patient selection is upheld. Recently, the use of fascial plane blocks (FPBs) has evolved as an alternative to TEA most likely because these blocks avoid problems such as neurological comorbidity, coagulation disorders, epidural catheter failure and hypotension due to sympathetic denervation. ⋯ Also, the true efficacy of FPBs is questioned. Thus, should we prioritize less efficient analgesic regimens with FPBs when preventive treatment strategies for epidural catheter failure and hypotension exist for TEA? It is time to promote and underscore the benefits of TEA provided to patients undergoing major open surgical procedures. In our mind, FPBs and landmark-guided techniques should be limited to less extensive surgery and when either neuraxial blockade is contraindicated or resources for optimal epidural catheter placement and maintenance are not available.
-
Observational Study
Clinical performance of a machine-learning algorithm to predict intra-operative hypotension with noninvasive arterial pressure waveforms: A cohort study.
Intra-operative hypotension is associated with adverse postoperative outcomes. A machine-learning-derived algorithm developed to predict hypotension based on arterial blood pressure (ABP) waveforms significantly reduced intra-operative hypotension. The algorithm calculates the likelihood of hypotension occurring within minutes, expressed as the Hypotension Prediction Index (HPI) which ranges from 0 to 100. Currently, HPI is only available for patients monitored with invasive ABP, which is restricted to high-risk procedures and patients. In this study, the performance of HPI, employing noninvasive continuous ABP measurements, is assessed. ⋯ This study demonstrated that the algorithm can be employed using continuous noninvasive ABP waveforms. This opens up the potential to predict and prevent hypotension in a larger patient population.