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Evaluation of the physical and psychosocial sequelae of ICU admission at 3, 6, and 12 months post-ICU discharge using a validated scoring system and a post-ICU discharge telephone clinic
IF 9.1 1区 医学 Q1 ANESTHESIOLOGY Pub Date : 2024-09-19 DOI: 10.1016/j.bja.2024.07.003
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引用次数: 0
Associate Editorial Board
IF 9.1 1区 医学 Q1 ANESTHESIOLOGY Pub Date : 2024-09-19 DOI: 10.1016/S0007-0912(24)00513-0
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引用次数: 0
Troponin clearance via continuous renal replacement therapies in the ICU
IF 9.1 1区 医学 Q1 ANESTHESIOLOGY Pub Date : 2024-09-19 DOI: 10.1016/j.bja.2024.07.004
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引用次数: 0
Readability of patient information in paediatric anaesthesia
IF 9.1 1区 医学 Q1 ANESTHESIOLOGY Pub Date : 2024-09-19 DOI: 10.1016/j.bja.2024.07.002
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引用次数: 0
Association between inspired oxygen fraction and development of postoperative pulmonary complications in thoracic surgery: a multicentre retrospective cohort study. 胸外科手术中吸入氧分数与术后肺部并发症发生之间的关系:一项多中心回顾性队列研究。
IF 9.8 1区 医学 Q1 ANESTHESIOLOGY Pub Date : 2024-09-11 DOI: 10.1016/j.bja.2024.08.005
Nicholas J Douville,Mark E Smolkin,Bhiken I Naik,Michael R Mathis,Douglas A Colquhoun,Sachin Kheterpal,Stephen R Collins,Linda W Martin,Wanda M Popescu,Nathan L Pace,Randal S Blank,
BACKGROUNDLimited data exist to guide oxygen administration during one-lung ventilation for thoracic surgery. We hypothesised that high intraoperative inspired oxygen fraction during lung resection surgery requiring one-lung ventilation is independently associated with postoperative pulmonary complications (PPCs).METHODSWe performed this retrospective multicentre study using two integrated perioperative databases (Multicenter Perioperative Outcomes Group and Society of Thoracic Surgeons General Thoracic Surgery Database) to study adult thoracic surgical procedures using one-lung ventilation. The primary outcome was a composite of PPCs (atelectasis, acute respiratory distress syndrome, pneumonia, respiratory failure, reintubation, and prolonged ventilation >48 h). The exposure of interest was high inspired oxygen fraction (FiO2), defined by area under the curve of a FiO2 threshold > 80%. Univariate analysis and logistic regression modelling assessed the association between intraoperative FiO2 and PPCs.RESULTSAcross four US medical centres, 141/2733 (5.2%) procedures conducted in 2716 patients (55% female; mean age 66 yr) resulted in PPCs. FiO2 was univariately associated with PPCs (adjusted OR [aOR]: 1.17, 95% confidence interval [CI]: 1.04-1.33, P=0.012). Logistic regression modelling showed that duration of one-lung ventilation (aOR: 1.20, 95% CI: 1.03-1.41, P=0.022), but not the time-weighted average FiO2 (aOR: 1.01, 95% CI: 1.00-1.02, P=0.165), was associated with PPCs.CONCLUSIONSOur results do not support limiting the inspired oxygen fraction for the purpose of reducing postoperative pulmonary complications in thoracic surgery involving one-lung ventilation.
背景用于指导胸外科手术单肺通气期间给氧的数据有限。我们假设,在需要单肺通气的肺切除手术中,术中高吸入氧分数与术后肺部并发症(PPCs)独立相关。方法我们使用两个综合围手术期数据库(多中心围手术期结果组和胸外科医师协会普通胸外科数据库)进行了这项回顾性多中心研究,研究使用单肺通气的成人胸外科手术。主要结果是 PPCs(肺不张、急性呼吸窘迫综合征、肺炎、呼吸衰竭、重新插管和通气时间延长 >48 小时)的综合结果。受关注的暴露是高吸入氧分压(FiO2),定义为 FiO2 阈值曲线下面积 > 80%。结果美国四个医疗中心的 2716 名患者(55% 为女性;平均年龄 66 岁)中有 141/2733 例(5.2%)手术导致了 PPCs。FiO2 与 PPCs 单变量相关(调整 OR [aOR]:1.17,95% 置信区间 [CI]:1.04-1.33,P=0.012)。逻辑回归模型显示,单肺通气持续时间(aOR:1.20,95% CI:1.03-1.41,P=0.022)与 PPCs 有关,而时间加权平均 FiO2(aOR:1.01,95% CI:1.00-1.02,P=0.165)与 PPCs 无关。
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引用次数: 0
Entonox® use for labour analgesia in the context of environmental impact and occupational exposure: a national survey of UK midwives. Entonox® 用于分娩镇痛的环境影响和职业接触:英国助产士全国调查。
IF 9.8 1区 医学 Q1 ANESTHESIOLOGY Pub Date : 2024-09-10 DOI: 10.1016/j.bja.2024.07.021
Tom Salih,Laura Elgie,Yaa Acheampong,S Ramani Moonesinghe
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引用次数: 0
Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trial 机器学习模型对临床医生预测术后并发症的影响:ORACLE 围手术期随机临床试验
IF 9.8 1区 医学 Q1 ANESTHESIOLOGY Pub Date : 2024-09-10 DOI: 10.1016/j.bja.2024.08.004
Bradley A. Fritz, Christopher R. King, Mohamed Abdelhack, Yixin Chen, Alex Kronzer, Joanna Abraham, Sandhya Tripathi, Arbi Ben Abdallah, Thomas Kannampallil, Thaddeus P. Budelier, Daniel Helsten, Arianna Montes de Oca, Divya Mehta, Pratyush Sontha, Omokhaye Higo, Paul Kerby, Stephen H. Gregory, Troy S. Wildes, Michael S. Avidan
Anaesthesiologists might be able to mitigate risk if they know which patients are at greatest risk for postoperative complications. This trial examined the impact of machine learning models on clinician risk assessment. This single-centre, prospective, randomised clinical trial enrolled surgical patients aged ≥18 yr. Anaesthesiologists and nurse anaesthetists providing remote telemedicine support reviewed electronic health records with (assisted group) or without (unassisted group) reviewing machine learning predictions. Clinicians predicted the likelihood of postoperative 30-day all-cause mortality and postoperative acute kidney injury (AKI) within 7 days. The primary outcome was area under the receiver operating characteristic curve (AUROC) for clinician predictions of mortality and AKI, comparing AUROCs between assisted and unassisted assessments. We analysed 5071 patients (mean [range] age: 58 [18-100] yr; 52% female) assessed by 89 clinicians. Of these, 98 (2.2%) patients died within 30 days of surgery and 450 (11.1%) patients sustained AKI. Clinician predictions agreed with the models more strongly in the assisted unassisted group (weighted kappa 0.75 0.62 for death, mean difference: 0.13 [95% CI 0.10–0.17]; and 0.79 0.54 for AKI, mean difference: 0.25 [95% CI 0.21–0.29]). Clinical prediction of death was similar between the assisted (AUROC 0.793) and unassisted (AUROC 0.780) groups (mean difference: 0.013 [95% CI –0.070 to 0.097]; =0.76). Prediction of AKI had an AUROC of 0.734 in the assisted group 0.688 in the unassisted group (difference 0.046 [95% CI –0.003 to 0.091]; =0.06). Clinician performance was not improved by machine learning assistance. Further work is needed to clarify the role of machine learning in real-time perioperative risk stratification. NCT05042804.
如果麻醉医师知道哪些患者术后并发症的风险最大,他们就有可能降低风险。这项试验研究了机器学习模型对临床医生风险评估的影响。这项单中心、前瞻性、随机临床试验招募了年龄≥18 岁的外科手术患者。提供远程远程医疗支持的麻醉医师和麻醉护士在审查机器学习预测结果的情况下(辅助组)或不在审查机器学习预测结果的情况下(无辅助组)审查电子健康记录。临床医生预测了术后 30 天全因死亡率和术后 7 天内急性肾损伤 (AKI) 的可能性。主要结果是临床医生预测死亡率和 AKI 的接收者操作特征曲线下面积 (AUROC),比较辅助评估和非辅助评估的 AUROC。我们分析了由 89 名临床医生评估的 5071 名患者(平均 [范围] 年龄:58 [18-100] 岁;52% 为女性)。其中,98 例(2.2%)患者在术后 30 天内死亡,450 例(11.1%)患者出现 AKI。在无辅助辅助组中,临床医生的预测与模型的一致性更高(死亡的加权卡帕为 0.75 0.62,平均差异为 0.13 [95% CI]):0.13 [95% CI 0.10-0.17];AKI 为 0.79 0.54,平均差异为 0.25 [95% CI 0.10-0.17]:0.25 [95% CI 0.21-0.29])。辅助组(AUROC 0.793)和非辅助组(AUROC 0.780)对死亡的临床预测结果相似(平均差异:0.013 [95% CI -0.070 to 0.097]; =0.76)。辅助组预测 AKI 的 AUROC 为 0.734,非辅助组为 0.688(差异为 0.046 [95% CI -0.003 至 0.091];=0.06)。临床医生的表现并未因机器学习辅助而提高。要明确机器学习在围手术期实时风险分层中的作用,还需要进一步的工作。NCT05042804。
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引用次数: 0
Regional anaesthesia and mixed reality: threading the implementation needle. 区域麻醉与混合现实:穿针引线。
IF 9.8 1区 医学 Q1 ANESTHESIOLOGY Pub Date : 2024-09-09 DOI: 10.1016/j.bja.2024.07.028
Barry N Singleton,Aisling Ní Eochagain
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引用次数: 0
Working conditions during pregnancy: a survey of 3590 European anaesthesiologists and intensivists. 怀孕期间的工作条件:对 3590 名欧洲麻醉师和重症监护医师的调查。
IF 9.8 1区 医学 Q1 ANESTHESIOLOGY Pub Date : 2024-09-09 DOI: 10.1016/j.bja.2024.08.002
Marko Zdravkovic,Barbara Kabon,Olivia Dow,Martina Klincová,Federico Bilotta,Joana Berger-Estilita,
BACKGROUNDPregnancy adds challenges for healthcare professionals, regardless of gender. We investigated experiences during pregnancy, attitudes towards pregnant colleagues, family planning decisions, and awareness of regulations among European anaesthesiologists and intensivists.METHODSA cross-sectional online survey was conducted among 3590 anaesthesiologists and intensivists from 47 European countries. The survey, available for 12 weeks, collected data on demographics, working conditions, safety perceptions, and the impact of clinical practice and training demands on family planning. Quantitative data were analysed using descriptive statistics, whereas qualitative data underwent thematic content analysis.RESULTSOnly 41.4% (n=678) of women were satisfied with their working conditions during pregnancy, and only 38.5% (n=602) considered their working environment safe. The proportion of women who changed their clinical practice during pregnancy and who took sick leave to avoid potentially harmful working conditions increased over time (P<0.001 for both). Men had children more often during residency than women (P<0.001). Pregnant colleagues' safety concerns influenced clinical practice, with women and men who had experience with their own and partner's pregnancy being more likely to modify their practices. Work and training demands discouraged plans to have children, particularly among women, leading to consideration of leaving training. Awareness of national regulations was limited, and respondents highlighted a need for better support and flexible working conditions.CONCLUSIONSImproved support and working environments for pregnant colleagues and ability to express preferred clinical areas for work are needed. Department heads should commit to safety and family friendliness, and men transitioning to parenthood should not be neglected.
背景怀孕给医护人员带来了更多挑战,无论其性别如何。我们调查了欧洲麻醉师和重症监护医师在怀孕期间的经历、对怀孕同事的态度、计划生育决定以及对相关法规的认识。方法我们对来自 47 个欧洲国家的 3590 名麻醉师和重症监护医师进行了横断面在线调查。调查为期 12 周,收集了有关人口统计学、工作条件、安全观念以及临床实践和培训需求对计划生育的影响等方面的数据。结果只有 41.4% 的妇女(人数=678)对孕期的工作条件感到满意,只有 38.5% 的妇女(人数=602)认为她们的工作环境是安全的。随着时间的推移,在怀孕期间改变临床实践和请病假以避免潜在有害工作条件的妇女比例有所上升(P<0.001)。男性在住院期间生孩子的比例高于女性(P<0.001)。怀孕同事对安全的担忧影响了临床实践,有过自己和伴侣怀孕经历的女性和男性更有可能改变他们的做法。工作和培训需求阻碍了生育计划,尤其是女性,导致她们考虑离开培训。对国家法规的认识有限,受访者强调需要更好的支持和灵活的工作条件。科室负责人应致力于安全和家庭友好,不应忽视即将为人父母的男性。
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引用次数: 0
Effect of a comfort scale compared with a pain numerical rate scale on opioids consumption in postanaesthesia care unit: the COMFORT study 舒适度量表与疼痛数字评分量表对麻醉后护理病房阿片类药物消耗量的影响:COMFORT 研究。
IF 9.1 1区 医学 Q1 ANESTHESIOLOGY Pub Date : 2024-09-07 DOI: 10.1016/j.bja.2024.06.029

Background

The way that pain is assessed in the PACU could impact on postoperative pain and analgesic consumption. However, there is currently no evidence to support this speculation. The authors hypothesised that using a comfort scale reduces postoperative opioid consumption when compared with a standard numerical rating scale (NRS) to evaluate pain in the PACU.

Methods

In this cluster-randomised trial, patients were assessed using either a comfort scale (comfort group) or a pain NRS (NRS group). The primary outcome was the opioid consumption in the PACU. The main secondary outcomes were postoperative pain, nausea and vomiting, length of stay in the PACU, and satisfaction.

Results

Of 885 randomised patients, 860 were included in the analysis. Opioid consumption in the PACU was comparable in the comfort and NRS groups (median [interquartile range [IQR] 0 (0–5) vs 0 (0–6); P=0.2436), irrespective of the type of surgical procedure. The majority of patients did not need any postoperative opioid (59% in the comfort group and 56% in the NRS group, P=0.2260). There was no difference in postoperative pain, nausea and vomiting, time to reach an Aldrete score ≥9 after extubation, and global satisfaction.

Conclusions

Using a comfort scale to assess pain in the PACU did not spare any opioid compared with use of a standard NRS. Further studies focusing on patients at risk of increased postoperative opioid consumption are necessary.

Clinical trial registration

NCT05234216.

背景:在 PACU 中评估疼痛的方式可能会对术后疼痛和镇痛药的消耗产生影响。然而,目前还没有证据支持这一推测。作者假设,与标准数字评分量表(NRS)相比,使用舒适度量表评估 PACU 中的疼痛可减少术后阿片类药物的用量:在这项分组随机试验中,采用舒适量表(舒适组)或疼痛 NRS(NRS 组)对患者进行评估。主要结果是 PACU 的阿片类药物消耗量。主要次要结果是术后疼痛、恶心和呕吐、在 PACU 的住院时间以及满意度:在 885 名随机患者中,有 860 人被纳入分析。无论手术类型如何,舒适组和 NRS 组在 PACU 中的阿片类药物消耗量相当(中位数[四分位数间距[IQR] 0 (0-5) vs 0 (0-6); P=0.2436)。大多数患者术后无需使用阿片类药物(舒适组为59%,NRS组为56%,P=0.2260)。在术后疼痛、恶心和呕吐、拔管后达到Aldrete评分≥9分的时间以及总体满意度方面没有差异:结论:与使用标准 NRS 相比,在 PACU 使用舒适度量表评估疼痛并不会减少阿片类药物的用量。有必要针对术后阿片类药物用量增加风险的患者开展进一步研究:临床试验注册:NCT05234216。
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引用次数: 0
期刊
British journal of anaesthesia
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