Pub Date : 2026-02-02DOI: 10.1213/ANE.0000000000007934
Paul S García, Peter A Goldstein
{"title":"The Myth of Depth of Anesthesia Monitors: When a \"Normal\" Bispectral Index Does not Mean What You Think It Means.","authors":"Paul S García, Peter A Goldstein","doi":"10.1213/ANE.0000000000007934","DOIUrl":"https://doi.org/10.1213/ANE.0000000000007934","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146103484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1213/ANE.0000000000007929
Leonard J Soloniuk, Jasmine Sran, Christopher Baker, Andrew Kim, Blake Han, Sallie Canumay, Daniel Novak, Ashish C Sinha, Gary Stier
Background: Postoperative nausea and vomiting (PONV) remain a significant consideration in perioperative care; however, the incidence and risk factors of PONV in transgender patients are poorly understood. This study investigated the rates of PONV in transgender patients receiving gender-affirming hormone therapy (GAHT) compared to cisgender patients. We postulate that exogenous testosterone GAHT reduces the risk of PONV while exogenous estrogen GAHT increases the risk of PONV.
Methods: This retrospective cohort study was conducted using the TriNetX database. Patients were divided into 2 groups: transgender and cisgender. Separate analyses were performed for hysterectomies (transgender male [assigned female at birth, AFAB] versus cisgender female), orchiectomies (transgender female [assigned male at birth, AMAB] versus cisgender male), and augmentation mammoplasties (transgender female [AMAB] versus cisgender female). Propensity score matching was performed for age, race, and ethnicity (White, Black, Hispanic, or Latino), which were treated as social and demographic variables as recorded in the database, nicotine dependence, and tobacco use. The primary outcome was the administration of a rescue antiemetic, defined as droperidol, promethazine, dimenhydrinate, metoclopramide, and prochlorperazine, on the day of or day following surgery.
Results: Following hysterectomy, there was a significant difference in the risk of rescue antiemetic use between transgender males (AFAB) taking testosterone GAHT (62.11%, 1031 of 1660) and cisgender females (65.90%, 1094 of 1660) (P = .0227). Following orchiectomy, there was a significant difference in the risk of rescue antiemetic use between transgender females (AMAB) taking estrogen GAHT (51.15%, 445 of 870) and cisgender males (36.78%, 320 of 870) (P < .0001). Following augmentation mammoplasty, there was a significant difference in the risk of rescue antiemetic use between transgender females (AMAB) taking estrogen GAHT (53.29%, 356 of 668) and cisgender females (43.71%, 292 of 668) (P = .0005).
Conclusions: Transgender female (AMAB) patients on estrogen GAHT required rescue antiemetics more often than cisgender males and cisgender females after orchiectomies and augmentation mammoplasties. Transgender male (AFAB) patients on testosterone GAHT required rescue antiemetics less often than cisgender females after hysterectomies. These findings underscore the need for individualized perioperative care and antiemetic prophylaxis to promote equitable anesthetic care for transgender patients. This study's retrospective design limits causal inference and is subject to coding errors and residual confounding. Prospective studies with detailed perioperative and hormonal data are needed to validate these findings and clarify how the timing, dosage, and duration of GAHT influence PONV risk.
{"title":"Exogenous Sex Hormones and Postoperative Nausea and Vomiting Risk in Transgender Patients.","authors":"Leonard J Soloniuk, Jasmine Sran, Christopher Baker, Andrew Kim, Blake Han, Sallie Canumay, Daniel Novak, Ashish C Sinha, Gary Stier","doi":"10.1213/ANE.0000000000007929","DOIUrl":"https://doi.org/10.1213/ANE.0000000000007929","url":null,"abstract":"<p><strong>Background: </strong>Postoperative nausea and vomiting (PONV) remain a significant consideration in perioperative care; however, the incidence and risk factors of PONV in transgender patients are poorly understood. This study investigated the rates of PONV in transgender patients receiving gender-affirming hormone therapy (GAHT) compared to cisgender patients. We postulate that exogenous testosterone GAHT reduces the risk of PONV while exogenous estrogen GAHT increases the risk of PONV.</p><p><strong>Methods: </strong>This retrospective cohort study was conducted using the TriNetX database. Patients were divided into 2 groups: transgender and cisgender. Separate analyses were performed for hysterectomies (transgender male [assigned female at birth, AFAB] versus cisgender female), orchiectomies (transgender female [assigned male at birth, AMAB] versus cisgender male), and augmentation mammoplasties (transgender female [AMAB] versus cisgender female). Propensity score matching was performed for age, race, and ethnicity (White, Black, Hispanic, or Latino), which were treated as social and demographic variables as recorded in the database, nicotine dependence, and tobacco use. The primary outcome was the administration of a rescue antiemetic, defined as droperidol, promethazine, dimenhydrinate, metoclopramide, and prochlorperazine, on the day of or day following surgery.</p><p><strong>Results: </strong>Following hysterectomy, there was a significant difference in the risk of rescue antiemetic use between transgender males (AFAB) taking testosterone GAHT (62.11%, 1031 of 1660) and cisgender females (65.90%, 1094 of 1660) (P = .0227). Following orchiectomy, there was a significant difference in the risk of rescue antiemetic use between transgender females (AMAB) taking estrogen GAHT (51.15%, 445 of 870) and cisgender males (36.78%, 320 of 870) (P < .0001). Following augmentation mammoplasty, there was a significant difference in the risk of rescue antiemetic use between transgender females (AMAB) taking estrogen GAHT (53.29%, 356 of 668) and cisgender females (43.71%, 292 of 668) (P = .0005).</p><p><strong>Conclusions: </strong>Transgender female (AMAB) patients on estrogen GAHT required rescue antiemetics more often than cisgender males and cisgender females after orchiectomies and augmentation mammoplasties. Transgender male (AFAB) patients on testosterone GAHT required rescue antiemetics less often than cisgender females after hysterectomies. These findings underscore the need for individualized perioperative care and antiemetic prophylaxis to promote equitable anesthetic care for transgender patients. This study's retrospective design limits causal inference and is subject to coding errors and residual confounding. Prospective studies with detailed perioperative and hormonal data are needed to validate these findings and clarify how the timing, dosage, and duration of GAHT influence PONV risk.</p>","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146103498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-07DOI: 10.1213/ANE.0000000000007832
Victor F A Almeida, Manoela Dantas, Glaudir Donato, Fanru Shen
{"title":"Overcoming Data Limitations in Anesthesiology With Synthetic Data Generation.","authors":"Victor F A Almeida, Manoela Dantas, Glaudir Donato, Fanru Shen","doi":"10.1213/ANE.0000000000007832","DOIUrl":"10.1213/ANE.0000000000007832","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"e16-e18"},"PeriodicalIF":3.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145457487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-07DOI: 10.1213/ANE.0000000000007848
Saraswati Sah, Rachana Mehta, Ranjana Sah
{"title":"Comment on \"A Retrospective Study of Ultramassive Transfusion in Trauma Patients: Is There a Value After Which Additional Transfusions Are Futile?\"","authors":"Saraswati Sah, Rachana Mehta, Ranjana Sah","doi":"10.1213/ANE.0000000000007848","DOIUrl":"10.1213/ANE.0000000000007848","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"e26-e27"},"PeriodicalIF":3.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145457508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-02-28DOI: 10.1213/ANE.0000000000007438
Franklin Dexter, Joel I Berger, Richard H Epstein, Rashmi N Mueller
<p><strong>Background: </strong>Human studies of awakening from general anesthesia inform understanding of neural mechanisms underlying recovery of consciousness. Probability distributions of times for emergence from anesthesia provide mechanistic information on whether putative biological models are generalizable. Previously reported distributions involved nonhomogenous groups, unsuitable for scientific comparisons. We used a retrospective cohort to identify surgeon-procedure combinations of homogeneous groups of patients and anesthetics to assess the probability distribution of extubation times to inform scientific studies of awakening from anesthesia. We hypothesized an acceptable fit to a log-normal distribution.</p><p><strong>Methods: </strong>Extubation times were recorded by anesthesia practitioners using an event button in the electronic health record. From 2011 through 2023, there were 182,374 cases with general anesthesia, not positioned prone, tracheal intubation after operating room entrance, interval from start to end of surgery ≥1 hour, and inhalational agent mean minimum alveolar concentration (MAC) fraction measured from case start through surgery end ≥0.6. We applied joint criteria of the same primary surgeon, surgical procedure, MAC fraction of each inhalational agent in 0.1 increments, and binary categories of adult, trainee finishing the anesthetic, bispectral index (BIS) monitor, N 2 O, sugammadex, and neostigmine. We considered all combinations of categories with ≥40 cases. We used Gas Man simulation to infer the probability distribution of volatile agent concentrations in the vessel-rich group (ie, brain).</p><p><strong>Results: </strong>There were 48 cases among patients having oral surgery extractions by 1 surgeon, without anesthesia trainees, sevoflurane anesthesia with 0.3 MAC fraction at surgery end, without N 2 O, BIS monitor, or neuromuscular block reversal. Their extubation times followed a log-normal distribution (Shapiro-Wilk W = 0.98, P = .68). For the computer simulations, we assumed that patients differed solely in their binary threshold of vessel-rich group sevoflurane concentration at awakening (eg, patients with an awakening threshold of 0.26% would be unconscious for 0.1 to 14.8 minutes as sevoflurane is exhaled but the concentration remains ≥0.26%, and abruptly transition to consciousness at 15 minutes when the concentration reaches 0.25%). Expected awakening times would appear to be a log-normal distribution.</p><p><strong>Conclusions: </strong>A homogeneous patient population had a log-normal distribution of extubation times. Generalizable models of awakening should have that distribution. Clinicians change awakening times by their choice of agent and its MAC fraction at surgery end. Simulation suggests that the normal distribution in the log time scale for awakening, among patients with similar conditions, can represent a relatively uniform distribution among patients in the vessel-rich group (brain) pa
背景:对全身麻醉苏醒的人体研究有助于了解意识恢复的神经机制。麻醉苏醒时间的概率分布提供了有关推定生物模型是否具有普遍性的机理信息。以前报道的分布涉及非同质群体,不适合进行科学比较。我们利用回顾性队列来确定同质患者组和麻醉剂组的外科医生手术组合,以评估拔管时间的概率分布,为麻醉苏醒的科学研究提供信息。我们假设对数正态分布的拟合是可以接受的:麻醉医师使用电子健康记录中的事件按钮记录拔管时间。从2011年到2023年,共有182,374个病例进行了全身麻醉,未采取俯卧位,手术室入口后进行气管插管,手术开始到结束的时间间隔≥1小时,从病例开始到手术结束测量的吸入剂平均最小肺泡浓度(MAC)分数≥0.6。我们采用的联合标准包括:相同的主刀医生、手术过程、每种吸入剂的 MAC 分数以 0.1 为增量,以及成人、完成麻醉的实习生、双频谱指数 (BIS) 监测器、N2O、苏格玛德克斯和新斯的明等二元类别。我们考虑了≥40 个病例的所有类别组合。我们使用 Gas Man 模拟来推断血管丰富组(即脑部)中挥发性药剂浓度的概率分布:由一名外科医生进行口腔手术拔牙的患者中共有 48 例,无麻醉培训人员,手术结束时七氟醚麻醉分数为 0.3 MAC,无 N2O、BIS 监测器或神经肌肉阻滞逆转。他们的拔管时间呈对数正态分布(Shapiro-Wilk W = 0.98,P = .68)。在计算机模拟中,我们假定患者仅在苏醒时血管丰富组七氟醚浓度的二元阈值上存在差异(例如,苏醒阈值为 0.26% 的患者将在七氟醚呼出但浓度仍≥0.26% 时昏迷 0.1 到 14.8 分钟,并在浓度达到 0.25% 时于 15 分钟内突然恢复意识)。预期苏醒时间似乎呈对数正态分布:结论:同质患者的拔管时间呈对数正态分布。结论:同质患者群体的拔管时间呈对数正态分布。临床医生通过选择药物及其手术结束时的 MAC 分数来改变苏醒时间。模拟结果表明,在病情相似的患者中,苏醒时间的对数正态分布可以代表血管丰富组(脑部)分压在患者突然转为清醒时的相对均匀分布。
{"title":"The Probability Distribution of Times to Awakening From Sevoflurane Anesthesia, Among a Homogeneous Group of Cases With the Same Age-Adjusted Minimum Alveolar Concentration Fraction.","authors":"Franklin Dexter, Joel I Berger, Richard H Epstein, Rashmi N Mueller","doi":"10.1213/ANE.0000000000007438","DOIUrl":"10.1213/ANE.0000000000007438","url":null,"abstract":"<p><strong>Background: </strong>Human studies of awakening from general anesthesia inform understanding of neural mechanisms underlying recovery of consciousness. Probability distributions of times for emergence from anesthesia provide mechanistic information on whether putative biological models are generalizable. Previously reported distributions involved nonhomogenous groups, unsuitable for scientific comparisons. We used a retrospective cohort to identify surgeon-procedure combinations of homogeneous groups of patients and anesthetics to assess the probability distribution of extubation times to inform scientific studies of awakening from anesthesia. We hypothesized an acceptable fit to a log-normal distribution.</p><p><strong>Methods: </strong>Extubation times were recorded by anesthesia practitioners using an event button in the electronic health record. From 2011 through 2023, there were 182,374 cases with general anesthesia, not positioned prone, tracheal intubation after operating room entrance, interval from start to end of surgery ≥1 hour, and inhalational agent mean minimum alveolar concentration (MAC) fraction measured from case start through surgery end ≥0.6. We applied joint criteria of the same primary surgeon, surgical procedure, MAC fraction of each inhalational agent in 0.1 increments, and binary categories of adult, trainee finishing the anesthetic, bispectral index (BIS) monitor, N 2 O, sugammadex, and neostigmine. We considered all combinations of categories with ≥40 cases. We used Gas Man simulation to infer the probability distribution of volatile agent concentrations in the vessel-rich group (ie, brain).</p><p><strong>Results: </strong>There were 48 cases among patients having oral surgery extractions by 1 surgeon, without anesthesia trainees, sevoflurane anesthesia with 0.3 MAC fraction at surgery end, without N 2 O, BIS monitor, or neuromuscular block reversal. Their extubation times followed a log-normal distribution (Shapiro-Wilk W = 0.98, P = .68). For the computer simulations, we assumed that patients differed solely in their binary threshold of vessel-rich group sevoflurane concentration at awakening (eg, patients with an awakening threshold of 0.26% would be unconscious for 0.1 to 14.8 minutes as sevoflurane is exhaled but the concentration remains ≥0.26%, and abruptly transition to consciousness at 15 minutes when the concentration reaches 0.25%). Expected awakening times would appear to be a log-normal distribution.</p><p><strong>Conclusions: </strong>A homogeneous patient population had a log-normal distribution of extubation times. Generalizable models of awakening should have that distribution. Clinicians change awakening times by their choice of agent and its MAC fraction at surgery end. Simulation suggests that the normal distribution in the log time scale for awakening, among patients with similar conditions, can represent a relatively uniform distribution among patients in the vessel-rich group (brain) pa","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"393-402"},"PeriodicalIF":3.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-06DOI: 10.1213/ANE.0000000000007793
Aimee Pak, Amir Butt, Kenichi A Tanaka, Kenneth E Stewart
{"title":"In Response.","authors":"Aimee Pak, Amir Butt, Kenichi A Tanaka, Kenneth E Stewart","doi":"10.1213/ANE.0000000000007793","DOIUrl":"10.1213/ANE.0000000000007793","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"e4"},"PeriodicalIF":3.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145457459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-10DOI: 10.1213/ANE.0000000000007852
Keisuke Yoshida, Takayuki Hasegawa, Satoki Inoue
{"title":"Hallucinations in Medical Literature Searches Using ChatGPT-5: The Ongoing Need for Physician-Led Fact-Checking.","authors":"Keisuke Yoshida, Takayuki Hasegawa, Satoki Inoue","doi":"10.1213/ANE.0000000000007852","DOIUrl":"10.1213/ANE.0000000000007852","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"e28-e29"},"PeriodicalIF":3.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145487393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-02-27DOI: 10.1213/ANE.0000000000007440
Nina Deutsch, Stephanie Grant, Luis Zabala, Steven J Staffa, Jennifer Lau, Dean Andropoulos, Jeremy Geiduschek, C Dean Kurth, Viviane G Nasr
Background: The population of patients with congenital heart disease has grown, but the supply of pediatric cardiac anesthesiologists has not kept pace. The Pediatric Anesthesia Leadership Council (PALC) and the Congenital Cardiac Anesthesia Society (CCAS) formed a task force to evaluate the current state of the specialty of pediatric cardiac anesthesia, including staffing, work environment, education, compensation, and career development.
Methods: Five task force working groups developed survey questions that explored 5 different aspects of a pediatric cardiac anesthesiologist's career. Surveys were completed by CCAS member faculty volunteers, division chiefs/directors of pediatric cardiac anesthesia programs, program directors of pediatric cardiac anesthesia fellowships, and fellowship graduates from the past 10 years.
Results: Survey completion rates were 77% (n = 86) for CCAS faculty, 52% (n = 58) for pediatric cardiac anesthesiology directors/division chiefs, 91% (n = 21) for pediatric cardiac anesthesiology fellowship directors, and 53% (n = 65) for 2013-2022 pediatric cardiac anesthesia fellowship graduates. Of CCAS faculty respondents, 31.4% (n = 27) are considering leaving pediatric cardiac anesthesia for a less stressful field. While most respondents reported being involved in academic activities, 34% (n = 29) do not receive nonclinical time. Only 35.3% (n = 30) of respondents receive formal mentorship and 44.7% (n = 38) of participants have been sponsored for leadership positions, research opportunities, or speaking engagements. The total number of anticipated hires in the next 5 years is 129; that number goes up to 194 in 10 years. The challenge in hiring was graded as 8/10 with 10 being the most challenging.
Conclusions: This survey provides important data about the current state of pediatric cardiac anesthesiology and the need to address staffing and academic support. With nearly one-third of those practicing in the field considering leaving the pediatric cardiac subspecialty and with the decreasing number of fellows per year, there is a significant cause for concern for staffing, especially when the demand for practitioners in this field is increasing. In addition, even though the majority of faculty reported being involved in academic activities, many do not receive academic time for these activities and less than half receive formal mentorship or have been sponsored for leadership positions, publications, research opportunities, or speaking engagements. Further work to recruit, retain, and develop pediatric cardiac anesthesiologists is warranted.
{"title":"The Current State of Pediatric Cardiac Anesthesiology Staffing in the United States.","authors":"Nina Deutsch, Stephanie Grant, Luis Zabala, Steven J Staffa, Jennifer Lau, Dean Andropoulos, Jeremy Geiduschek, C Dean Kurth, Viviane G Nasr","doi":"10.1213/ANE.0000000000007440","DOIUrl":"10.1213/ANE.0000000000007440","url":null,"abstract":"<p><strong>Background: </strong>The population of patients with congenital heart disease has grown, but the supply of pediatric cardiac anesthesiologists has not kept pace. The Pediatric Anesthesia Leadership Council (PALC) and the Congenital Cardiac Anesthesia Society (CCAS) formed a task force to evaluate the current state of the specialty of pediatric cardiac anesthesia, including staffing, work environment, education, compensation, and career development.</p><p><strong>Methods: </strong>Five task force working groups developed survey questions that explored 5 different aspects of a pediatric cardiac anesthesiologist's career. Surveys were completed by CCAS member faculty volunteers, division chiefs/directors of pediatric cardiac anesthesia programs, program directors of pediatric cardiac anesthesia fellowships, and fellowship graduates from the past 10 years.</p><p><strong>Results: </strong>Survey completion rates were 77% (n = 86) for CCAS faculty, 52% (n = 58) for pediatric cardiac anesthesiology directors/division chiefs, 91% (n = 21) for pediatric cardiac anesthesiology fellowship directors, and 53% (n = 65) for 2013-2022 pediatric cardiac anesthesia fellowship graduates. Of CCAS faculty respondents, 31.4% (n = 27) are considering leaving pediatric cardiac anesthesia for a less stressful field. While most respondents reported being involved in academic activities, 34% (n = 29) do not receive nonclinical time. Only 35.3% (n = 30) of respondents receive formal mentorship and 44.7% (n = 38) of participants have been sponsored for leadership positions, research opportunities, or speaking engagements. The total number of anticipated hires in the next 5 years is 129; that number goes up to 194 in 10 years. The challenge in hiring was graded as 8/10 with 10 being the most challenging.</p><p><strong>Conclusions: </strong>This survey provides important data about the current state of pediatric cardiac anesthesiology and the need to address staffing and academic support. With nearly one-third of those practicing in the field considering leaving the pediatric cardiac subspecialty and with the decreasing number of fellows per year, there is a significant cause for concern for staffing, especially when the demand for practitioners in this field is increasing. In addition, even though the majority of faculty reported being involved in academic activities, many do not receive academic time for these activities and less than half receive formal mentorship or have been sponsored for leadership positions, publications, research opportunities, or speaking engagements. Further work to recruit, retain, and develop pediatric cardiac anesthesiologists is warranted.</p>","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"232-244"},"PeriodicalIF":3.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143522490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-07DOI: 10.1213/ANE.0000000000007844
James R Burmeister
{"title":"Research Fever in the Match: Anesthesiology Applicants Are Publishing More Than Ever.","authors":"James R Burmeister","doi":"10.1213/ANE.0000000000007844","DOIUrl":"10.1213/ANE.0000000000007844","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"e23-e26"},"PeriodicalIF":3.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145457476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}