Anesthesiology最新文献_第3页

Training the Next Generation of Anesthesiologists: Reply. 培养新一代麻醉师：回复。

IF 9.4 1区医学

Anesthesiology Pub Date : 2026-11-01 Epub Date: 2026-08-27 DOI: 10.1097/ALN.0000000000006293

Odmara L Barreto Chang

引用次数: 0

Highly Individualized Management in Esophagectomy: Reply. 食管癌切除术的高度个体化治疗：回复。

IF 9.4 1区医学

Anesthesiology Pub Date : 2026-11-01 Epub Date: 2026-08-26 DOI: 10.1097/ALN.0000000000006259

Henrik Lynge Hovgaard, Simon Vistisen, Johannes Enevoldsen, Peter Juhl-Olsen

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Allogeneic Transfusion in Children with and without Cardiac Disease Undergoing Noncardiac Surgery. 接受非心脏手术的有或无心脏病儿童的异体输血。

IF 9.4 1区医学

Anesthesiology Pub Date : 2026-11-01 Epub Date: 2026-08-26 DOI: 10.1097/ALN.0000000000006284

Minxian Liang, Toshio Yuki, Viviane G Nasr, James A DiNardo, David Faraoni

引用次数: 0

A Growth Mindset: Expanding the Critical Care Training Pipeline in Anesthesiology. 成长心态：拓展麻醉学重症监护培训渠道。

IF 9.4 1区医学

Anesthesiology Pub Date : 2026-11-01 Epub Date: 2026-09-03 DOI: 10.1097/ALN.0000000000006309

Megan H Hicks, Ashish K Khanna, Ryan C Maves

{"title":"A Growth Mindset: Expanding the Critical Care Training Pipeline in Anesthesiology.","authors":"Megan H Hicks, Ashish K Khanna, Ryan C Maves","doi":"10.1097/ALN.0000000000006309","DOIUrl":"10.1097/ALN.0000000000006309","url":null,"abstract":"Critical care demand in the United States continues to rise, driven by an aging population, increasing comorbidities, and longer hospitalizations. Despite ample capacity and need for anesthesiology critical care medicine (ACCM) training, anesthesiologists account for less than 10% of U.S. intensivists, and recent fellowship match data consistently show underfilled ACCM positions. Structural factors, including perceived compensation, workload, and competing clinical demands, contribute to lower resident interest in ACCM. However, these concerns may not reflect current market and practice patterns. Initiatives aimed at generating accurate data and educating potential candidates on the actual, rather than the perceived, ACCM lifestyle are key. Strengthening anesthesiologist representation requires early mentorship, structured scholarly experiences, and personalized training pathways. Combined and tailored ACCM tracks, modeled after successful approaches in other subspecialties, can align training with career interests while supporting physician retention. As intensive care unit demand grows, anesthesiologists are primed to expand their critical care leadership and meet national workforce needs.","PeriodicalId":7970,"journal":{"name":"Anesthesiology","volume":" ","pages":"1093-1096"},"PeriodicalIF":9.4,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148886117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fragility Index of Spinal Cord Stimulation Trials: Reply. 脊髓刺激试验的脆弱性指数：回复。

IF 9.4 1区医学

Anesthesiology Pub Date : 2026-11-01 Epub Date: 2026-08-27 DOI: 10.1097/ALN.0000000000006278

Raghav Shah, Nasir Hussain, Faraj W Abdallah

引用次数: 0

Bleeding after Heart Transplantation: Reply. 心脏移植后出血：回复。

IF 9.4 1区医学

Anesthesiology Pub Date : 2026-11-01 Epub Date: 2026-09-07 DOI: 10.1097/ALN.0000000000006303

Alexandre Mansour, Adrien Bougle, Nicolas Nesseler

引用次数: 0

Middle Turbinate Dislocation after Nasotracheal Intubation. 鼻气管插管后中鼻甲脱位。

IF 9.4 1区医学

Anesthesiology Pub Date : 2026-11-01 Epub Date: 2026-08-17 DOI: 10.1097/ALN.0000000000006223

Carole Masgnaux, Simon Clariot, Mathieu Veyrat

引用次数: 0

Update to Perioperative Resuscitation and Life Support (PeRLS) Following the 2025 American Heart Association Adult Advanced Life Support Guidelines. 根据2025年美国心脏协会成人高级生命支持指南更新围手术期复苏和生命支持（PeRLS）。

IF 9.4 1区医学

Anesthesiology Pub Date : 2026-11-01 Epub Date: 2026-10-13 DOI: 10.1097/ALN.0000000000006260

Vivek K Moitra, Arna Banerjee, Talia K Ben-Jacob, Carlee A Clark, Andrea Cortegiani, Sharon Einav, Marina Gitman, Mariachiara Ippolito, P Allan Klock, Inès Lakbar, Gerald Maccioli, Matt McEvoy, Dorothee Mueller, Aryeh Shander, Roshni Sreedharan, David Stahl, Jeffrey Tong, Guy Weinberg, Mark Nunnally, Michael O'Connor

引用次数: 0

MicroRNAs and Precision Medicine in Acute Respiratory Distress Syndrome: Moving beyond Clinical Phenotypes. 急性呼吸窘迫综合征的microrna和精准医学：超越临床表型。

IF 9.4 1区医学

Anesthesiology Pub Date : 2026-11-01 Epub Date: 2026-10-13 DOI: 10.1097/ALN.0000000000006246

Arjun Rustagi, Jeanine Wiener-Kronish, Romain Pirracchio

引用次数: 0

Development of an Arterial Carbon Dioxide Estimation Model Using End-tidal Carbon Dioxide Levels during Surgery in the Pediatric Population. 在儿科人群手术期间使用终潮二氧化碳水平的动脉二氧化碳估计模型的发展。

IF 9.4 1区医学

Anesthesiology Pub Date : 2026-11-01 Epub Date: 2026-06-17 DOI: 10.1097/ALN.0000000000006207

Ju Hyoun Park, Chaeeun Cho, Hee-Soo Kim, Boohwi Hong, Chang-Hoon Koo, Kwangsoo Kim, Hyun Ho Kim

{"title":"Development of an Arterial Carbon Dioxide Estimation Model Using End-tidal Carbon Dioxide Levels during Surgery in the Pediatric Population.","authors":"Ju Hyoun Park, Chaeeun Cho, Hee-Soo Kim, Boohwi Hong, Chang-Hoon Koo, Kwangsoo Kim, Hyun Ho Kim","doi":"10.1097/ALN.0000000000006207","DOIUrl":"10.1097/ALN.0000000000006207","url":null,"abstract":"Background: Intraoperative arterial carbon dioxide partial pressure monitoring is essential for pediatric ventilatory management but requires invasive arterial sampling. While end-tidal carbon dioxide offers a noninvasive alternative, its reliability is limited by individual physiologic gradients. This study developed a machine learning model to estimate arterial carbon dioxide partial pressure using end-tidal carbon dioxide and intraoperative clinical features in children.Methods: The authors retrospectively analyzed 8,853 paired end-tidal carbon dioxide and arterial carbon dioxide partial pressure measurements from 3,586 pediatric patients in the vital sign registry (VitalDB) database. Clinical and ventilatory features were used to train four machine learning algorithms, with missing data managed via age group-based imputation. Model performance was verified through internal temporal validation using a recent dataset of 2,138 pairs and external validation using an independent dataset of 92 pairs from a distinct hospital. Feature importance was assessed using Shapley additive explanations values.Results: The gradient boosting model performed best, yielding a mean absolute error of 2.73 mmHg and root mean squared error of 4.13 mmHg. External validation confirmed generalizability with a mean absolute error of 3.65 mmHg (institutional) and 3.67 mmHg (temporal). End-tidal carbon dioxide, body temperature, fraction of inspired oxygen, and preoperative hemoglobin emerged as the most impactful features.Conclusions: The authors' machine learning model accurately estimates intraoperative arterial carbon dioxide partial pressure using noninvasive parameters. The model demonstrates stable performance across temporal and external cohorts.","PeriodicalId":7970,"journal":{"name":"Anesthesiology","volume":" ","pages":"1188-1203"},"PeriodicalIF":9.4,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13652130/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148262935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0