BMC anesthesiology
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Simulation is a cornerstone of medical education for difficult airway management. The lack of standards regarding the frequency of retraining that would ensure the maintenance of skills and competencies over time still needs to be solved.
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Observational Study
Is the combination of interfascial plane blocks sufficient for awake breast cancer surgery? An observational, prospective, proof-of-concept study.
Breast cancer is the most prevalent cancer among women, often necessitating surgical intervention. While surgeries like lumpectomy can be performed under local anesthesia, more extensive procedures typically require general anesthesia. Awake breast cancer surgery has emerged as an alternative due to risks associated with general anesthesia and patient preference. ⋯ The combination of fascial plane blocks is a viable option for awake breast cancer surgery, potentially eliminating the need for more invasive anesthesia techniques. Further studies are necessary to confirm these findings in larger, homogeneous patient groups.
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Inadequate postoperative analgesia greatly affects the recovery of patients, can poses a substantial health and economic burden. Patient-controlled analgesia is the most commonly used method for postoperative pain relief. However, the situation of inadequate analgesia still exists. Artificial intelligent Patient-controlled analgesia (Ai-PCA) system can make it easier for medical staff to understand the pain level of patients in order to deal with it in time. So far, several studies have investigated anesthesiologists' knowledge and management of Ai-PCA. ⋯ Our findings revealed the score of practice regarding Ai-PCA are very poor among anesthesiologists in east China's Jiangsu Province. The utilization of Ai-PCA was found to be impacted by whether the individual had received training. This calls for a comprehensive approach should be conducted for raising the level of knowledge, attitude, and practice of anesthesiologist on using Ai-PCA and more Ai-PCA training to be included in the daily learning.
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Catheter-related bladder discomfort (CRBD) commonly occurs in patients who have indwelling urinary catheters while under general anesthesia. And moderate-to-severe CRBD can lead to significant adverse events and negatively impact patient health outcomes. However, current screening studies for patients experiencing moderate-to-severe CRBD after waking from general anesthesia are insufficient. Constructing predictive models with higher accuracy using multiple machine learning techniques for early identification of patients at risk of experiencing moderate-to-severe CRBD during general anesthesia resuscitation. ⋯ The study has successfully developed a machine learning prediction model that exhibits excellent predictive capabilities in identifying patients who may develop moderate-to-severe CRBD after undergoing general anesthesia. Furthermore, the study also presents a nomogram, which serves as a valuable tool for clinical healthcare professionals, enabling them to intervene at an early stage for better patient outcomes.
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Stress cardiomyopathy (SCM) is an acute heart failure syndrome characterized by transient, usually reversible left ventricular systolic dysfunction with normal or enhanced basal compensatory wall motion abnormalities involving the left ventricular anterior septum and apex, resulting in a "ballooning" appearance. However, it has rarely been reported in patients undergoing spinal surgery. ⋯ Stress cardiomyopathy is a reversible but uncommon condition. It can cause death if it is not diagnosed in time. Consequently, this report should improve the awareness of orthopedists and anesthesiologists for timely identification and management. For patients with potential risk factors, timely preoperative intervention should be performed to reduce the occurrence of stress cardiomyopathy.