Anesthesia & Analgesia最新文献_第10页

Search for a Safer Anesthetic Technique with Lesser Postoperative Pulmonary Complications: The Quest Is Still Open 寻找更安全、术后肺部并发症更少的麻醉技术：探索仍在继续

Anesthesia & Analgesia Pub Date : 2024-09-04 DOI: 10.1213/ane.0000000000007041

Dipasri Bhattacharya, Pradipta Bhakta, Mohanchandra Mandal

引用次数: 0

Neuromuscular Blocking Agents: One of the Factors Contributing to Postoperative Pulmonary Complications 神经肌肉阻滞剂：导致术后肺部并发症的因素之一

Anesthesia & Analgesia Pub Date : 2024-09-04 DOI: 10.1213/ane.0000000000006993

Yusuke Miyazaki, Kaoru Suzuki, Kentaro Yamakawa, Hiroshi Sunaga

引用次数: 0

Persistent Postoperative Opioid Use: Progressing From Risk Identification to Risk Reduction 术后持续使用阿片类药物：从识别风险到降低风险

Anesthesia & Analgesia Pub Date : 2024-09-04 DOI: 10.1213/ane.0000000000007022

Naheed K. Jivraj, Eric Sun, Lauren K. Dunn, Harsha Shanthanna

引用次数: 0

Classifying High-Risk Patients for Persistent Opioid Use After Major Spine Surgery: A Machine-Learning Approach 脊椎大手术后持续使用阿片类药物的高风险患者分类：机器学习方法

Anesthesia & Analgesia Pub Date : 2024-09-04 DOI: 10.1213/ane.0000000000006832

Sierra Simpson, William Zhong, Soraya Mehdipour, Michael Armaneous, Varshini Sathish, Natalie Walker, Engy T. Said, Rodney A. Gabriel

{"title":"Classifying High-Risk Patients for Persistent Opioid Use After Major Spine Surgery: A Machine-Learning Approach","authors":"Sierra Simpson, William Zhong, Soraya Mehdipour, Michael Armaneous, Varshini Sathish, Natalie Walker, Engy T. Said, Rodney A. Gabriel","doi":"10.1213/ane.0000000000006832","DOIUrl":"https://doi.org/10.1213/ane.0000000000006832","url":null,"abstract":" Five classification models were evaluated to predict persistent opioid use: logistic regression, random forest, neural network, balanced random forest, and balanced bagging. Synthetic Minority Oversampling Technique was used to improve class balance. The primary outcome was persistent opioid use, defined as patient reporting to use opioids after 3 months postoperatively. The data were split into a training and test set. Performance metrics were evaluated on the test set and included the F1 score and the area under the receiver operating characteristics curve (AUC). Feature importance was ranked based on SHapley Additive exPlanations (SHAP). RESULTS: After exclusion (patients with missing follow-up data), 2611 patients were included in the analysis, of which 1209 (46.3%) continued to use opioids 3 months after surgery. The balanced random forest classifiers had the highest AUC (0.877, 95% confidence interval [CI], 0.834–0.894) compared to neural networks (0.729, 95% CI, 0.672–0.787), logistic regression (0.709, 95% CI, 0.652–0.767), balanced bagging classifier (0.859, 95% CI, 0.814–0.905), and random forest classifier (0.855, 95% CI, 0.813–0.897). The balanced random forest classifier had the highest F1 (0.758, 95% CI, 0.677–0.839). Furthermore, the specificity, sensitivity, precision, and accuracy were 0.883, 0.700, 0.836, and 0.780, respectively. The features based on SHAP analysis with the highest impact on model performance were age, preoperative opioid use, preoperative pain scores, and body mass index. CONCLUSIONS: The balanced random forest classifier was found to be the most effective model for identifying persistent opioid use after spine surgery....","PeriodicalId":7799,"journal":{"name":"Anesthesia & Analgesia","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142259388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tranexamic Acid in Liver Transplantation: An Anesthesiologist’s Friend Without Benefits? 肝移植中的氨甲环酸：麻醉师的 "无益之友"？

Anesthesia & Analgesia Pub Date : 2024-09-04 DOI: 10.1213/ane.0000000000007030

Tricia A. Haynes, Amir L. Butt, Srikiran Ramarapu, Kenichi A. Tanaka

引用次数: 0

Do Not Teach the Landmark Technique for Central Venous Catheterization—Primum Non Nocere! 不要教授中心静脉导管置入的地标技术--"不可忽视原则"！

Anesthesia & Analgesia Pub Date : 2024-09-04 DOI: 10.1213/ane.0000000000007157

Ola Borgquist, Robin Lundén, Maria Adrian, Thomas Kander

引用次数: 0

El Uso del Ultrasonido en el Manejo de la Vía Aérea: Vídeo en Anestesia Clínica 在气道管理中使用超声波：临床麻醉视频

Anesthesia & Analgesia Pub Date : 2024-09-04 DOI: 10.1213/ane.0000000000007047

Sara Hora Gomes, Robert Canelli, Francesco Corradi, José Miguel Pêgo, Maxwell B. Baker, Federico Bilotta

引用次数: 0

Anesthesia Workforce Numbers: Only Part of the Story 麻醉人员数量：仅是故事的一部分

Anesthesia & Analgesia Pub Date : 2024-06-17 DOI: 10.1213/ane.0000000000006950

Faye M. Evans, Angela C. Enright

引用次数: 0

Pediatric Neuromuscular Monitoring: Anatomy Matters 小儿神经肌肉监测：解剖学的重要性

Anesthesia & Analgesia Pub Date : 2024-06-17 DOI: 10.1213/ane.0000000000007066

Naveen Nathan

引用次数: 0

Etomidate Infusion for Procedural Sedation: Additional Experience 用于手术镇静的依托咪酯输注：更多经验

Anesthesia & Analgesia Pub Date : 2024-06-17 DOI: 10.1213/ane.0000000000007044

Jeffrey D.F. White, Matthew M. Andoniadis, R. Victor Zhang

引用次数: 0