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Color-Coded Labels, Colored Lighting, and Systems in the Operating Room. 手术室的彩色标签、彩色照明和系统。
IF 3.8 2区 医学 Q1 ANESTHESIOLOGY Pub Date : 2026-01-01 Epub Date: 2025-08-25 DOI: 10.1213/ANE.0000000000007697
Craig S Webster
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引用次数: 0
Outcomes Associated with a Patient Blood Management Program in Major Obstetric Hemorrhage: A Retrospective Cohort Study. 产科大出血患者血液管理计划的相关结果:回顾性队列研究
IF 3.8 2区 医学 Q1 ANESTHESIOLOGY Pub Date : 2026-01-01 Epub Date: 2024-11-21 DOI: 10.1213/ANE.0000000000007292
Tarek Ansari, Saleema Wani, Axel Hofmann, Nanda Shetty, Kanan Sangani, Clifford J Stamp, Kevin Murray, Kevin M Trentino

Background: Obstetric patient blood management (PBM) strategies were used at Corniche Hospital in 2018, initially focusing on minimizing bleeding, with other clinical strategies implemented incrementally. This study assesses program outcomes in patients with major obstetric hemorrhage of 2000 mL or greater.

Methods: A retrospective study of 353 women admitted to The Corniche Hospital between 2018 and 2023 who experienced major obstetric hemorrhage of 2000 mL or greater. The primary outcome measure was units of red blood cell (RBC), fresh-frozen plasma (FFP), and platelet units transfused. Secondary outcomes included pretransfusion hemoglobin in patients with no active bleeding, hemoglobin levels 3 weeks postdischarge, anemia predelivery, blood product-acquisition cost savings, mortality, composite morbidity (transfusion reaction, acute lung injury, thrombosis, sepsis, postpartum hysterectomy), hospital and high-dependency unit length of stay, and all-cause emergency readmissions within 28 days.

Results: Comparing baseline (2018) with the final year (2023), the mean units of RBCs, FFP, and platelets transfused per admission decreased from 4.18 to 0.67 ( P -trend <.001), resulting in blood acquisition savings of US$ 175,705. Over the same period the percentage of women anemic predelivery decreased from 40.3% to 23.8% ( P -trend = 0.015) and the mean pretransfusion hemoglobin level in nonactively bleeding patients decreased from 7.54 g/dL to 6.35 g/dL ( P -trend < .001). The mean hemoglobin rise 3 weeks postdischarge increased from 2.41 g/dL in 2018 to 4.26 g/dL in 2023. There were no changes in adjusted composite morbidity, hospital, or high-dependency unit length of stay.

Conclusions: In women with a major obstetric hemorrhage of 2000 mL or greater, the implementation of an obstetric PBM program was associated with reduced blood product utilization, reduced costs, reduced anemia, and increased hemoglobin rise postdischarge.

背景:Corniche 医院于 2018 年采用了产科患者血液管理(PBM)策略,最初以尽量减少出血为重点,其他临床策略逐步实施。本研究评估了产科大出血2000毫升或以上患者的计划结果:对 2018 年至 2023 年期间入住康涅狄格医院、产科大出血达到或超过 2000 毫升的 353 名妇女进行回顾性研究。主要结果指标为输注的红细胞(RBC)、鲜冻血浆(FFP)和血小板单位。次要结果包括无活动性出血患者的输血前血红蛋白、出院后 3 周的血红蛋白水平、分娩前贫血、血液制品采购成本节约、死亡率、综合发病率(输血反应、急性肺损伤、血栓形成、脓毒症、产后子宫切除术)、住院时间和高危病房住院时间,以及 28 天内所有原因的急诊再入院率:结果:基线年(2018 年)与最后一年(2023 年)相比,每次入院输注的红细胞、全血细胞和血小板的平均单位从 4.18 降至 0.67(P-趋势结论):在产科大出血达 2000 毫升或以上的产妇中,实施产科 PBM 计划与减少血液制品使用、降低成本、减少贫血和出院后血红蛋白上升有关。
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引用次数: 0
The Differential Impact of Three Different Anesthetics on Large-Scale Neuronal Activity Measured Using Voltage-Sensitive Dye Imaging in Rat Brain Slices. 三种不同的麻醉剂对大鼠脑切片中使用电压敏感染料成像测量的大范围神经元活动的差异影响。
IF 3.8 2区 医学 Q1 ANESTHESIOLOGY Pub Date : 2026-01-01 Epub Date: 2025-06-10 DOI: 10.1213/ANE.0000000000007616
Ana Ghenciulescu, Jaideep J Pandit, Ian M Devonshire, Susan A Greenfield
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引用次数: 0
In Response. 作为回应。
IF 3.8 2区 医学 Q1 ANESTHESIOLOGY Pub Date : 2026-01-01 Epub Date: 2025-09-16 DOI: 10.1213/ANE.0000000000007771
Edgardo E Reynoso, Richard L Applegate, Melissa D McCabe
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引用次数: 0
Effects of Perioperative Exposure on the Microbiome and Outcomes From an Immune Challenge in C57Bl/6 Adult Mice. 围手术期暴露对C57Bl/6成年小鼠微生物组和免疫攻击结果的影响
IF 3.8 2区 医学 Q1 ANESTHESIOLOGY Pub Date : 2026-01-01 Epub Date: 2025-03-10 DOI: 10.1213/ANE.0000000000007467
Mara Serbanescu, Seoho Lee, Fengying Li, Sri Harsha Boppana, Mohamed Elebasy, James R White, C David Mintz

Background: Previous work suggests that the gut microbiome can be disrupted by antibiotics, anesthetics, opiates, supplemental oxygen, or nutritional deprivation-all of which are common and potentially modifiable perioperative interventions that nearly all patients are exposed to in the setting of surgery. Gut microbial dysbiosis has been postulated to be a risk factor for poor surgical outcomes, but how perioperative care-independent of the surgical intervention-impacts the gut microbiome, and the potential consequences of this impact have not been directly investigated.

Methods: We developed a perioperative exposure model (PEM) in C57Bl/6 mice to emulate the most common elements of perioperative medicine other than surgery, which included 12 hours of nutritional deprivation, 4 hours of volatile general anesthetic, 7 hours of supplemental oxygen, surgical antibiotics (cefazolin), and opioid pain medication (buprenorphine). Gut microbial dynamics and inferred metabolic changes were longitudinally assessed before-and at 3 time points after-PEM by 16S rRNA amplicon sequencing. We then used fecal microbial transplant in secondary abiotic mice to test if, compared to preexposure microbiota, day 3 post-PEM microbial communities affect the clinical response to immune challenge in an endotoxemia model.

Results: We observed transient changes in microbiota structure and function after the PEM, including reduced biodiversity, loss of diverse commensals associated with health (including Lactobacillus , Roseburia , and Ruminococcus ), and changes in microbiota-mediated amino acid metabolic pathways. Mice engrafted with day 3 post-PEM microbial communities demonstrated markedly reduced survival after endotoxemia compared to those bearing preexposure communities (7-day survival of ~20% vs ~70%, P = .0002).

Conclusions: These findings provide the first clear evidence that the combined effects of common perioperative factors, independent of surgery, cause gut microbial dysbiosis and alter the host response to inflammation in the postoperative period.

背景:先前的研究表明,肠道微生物群可能被抗生素、麻醉剂、阿片类药物、补充氧气或营养剥夺所破坏——所有这些都是常见的、可能改变的围手术期干预措施,几乎所有患者在手术环境中都暴露于这些干预措施。肠道微生物失调被认为是手术预后不良的一个危险因素,但围手术期护理(独立于手术干预)如何影响肠道微生物群,以及这种影响的潜在后果尚未直接研究。方法:我们建立了C57Bl/6小鼠围手术期暴露模型(PEM),模拟除手术外最常见的围手术期药物,包括12小时营养剥夺,4小时挥发性全麻,7小时补充氧气,手术抗生素(头孢唑林)和阿片类止痛药(丁丙诺啡)。通过16S rRNA扩增子测序,在pem前后的3个时间点纵向评估肠道微生物动力学和推断的代谢变化。然后,我们在继发性非生物小鼠中使用粪便微生物移植来测试,与暴露前的微生物群相比,pem后第3天的微生物群落是否会影响内毒素血症模型中对免疫挑战的临床反应。结果:我们观察到PEM后微生物群结构和功能的短暂变化,包括生物多样性降低,与健康相关的多种共生菌(包括乳杆菌、玫瑰菌和Ruminococcus)的丧失,以及微生物群介导的氨基酸代谢途径的变化。与暴露前的微生物群落相比,移植了第3天pem后微生物群落的小鼠在内毒素血症后的存活率明显降低(7天存活率为20% vs 70%, P = 0.0002)。结论:这些发现首次提供了明确的证据,表明围手术期常见因素的综合作用,独立于手术,导致肠道微生物生态失调,并改变了术后宿主对炎症的反应。
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引用次数: 0
Bridging the Anesthesia Digital Data Gap in Low-Middle-Income Countries: Computer Vision-Ready Paper Health Records. 弥合中低收入国家的麻醉数字数据差距:计算机视觉纸质健康记录。
IF 3.8 2区 医学 Q1 ANESTHESIOLOGY Pub Date : 2026-01-01 Epub Date: 2025-08-29 DOI: 10.1213/ANE.0000000000007678
Bhiken I Naik, Ryan Folks, Christian Ndaribitse, Gregory Sund, Matthew Kynes, Hyla Kluyts
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引用次数: 0
The Creation of ICAPS 2024: The Power of Teamwork, Collaboration, and a Shared Vision in Advancing Patient Safety. ICAPS 2024的创立:团队合作、协作和共同愿景在推进患者安全方面的力量。
IF 3.8 2区 医学 Q1 ANESTHESIOLOGY Pub Date : 2026-01-01 Epub Date: 2025-12-15 DOI: 10.1213/ANE.0000000000007730
Steven B Greenberg, Tomoko Yorozu
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引用次数: 0
Pharmacokinetics and Pharmacodynamics During CPB. CPB期间的药代动力学和药效学。
IF 3.8 2区 医学 Q1 ANESTHESIOLOGY Pub Date : 2026-01-01 Epub Date: 2025-12-15 DOI: 10.1213/ANE.0000000000007880
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引用次数: 0
Intrathecal Hydromorphone Versus Intrathecal Morphine for Postcesarean Delivery Analgesia: A Randomized Noninferiority Trial. 鞘内氢吗啡酮与鞘内吗啡用于剖宫产后镇痛:一项随机非劣效性试验。
IF 3.8 2区 医学 Q1 ANESTHESIOLOGY Pub Date : 2026-01-01 Epub Date: 2025-06-10 DOI: 10.1213/ANE.0000000000007580
Sonny Cheng, John Bartolacci, Kevin Armstrong, Aldo Dobrowlanski, Philip M Jones, Sudha Indu Singh, Ilana Sebbag

Background: Spinal anesthesia with intrathecal morphine is often the preferred anesthetic modality for elective cesarean delivery. Side effects and drug shortages, however, prompted researchers to look into intrathecal hydromorphone as an alternative. These studies established the effective analgesic dose for 90% of patients (ED90) for both opioids for postcesarean analgesia, yet failed to demonstrate the superiority of morphine over hydromorphone. Nonetheless, the noninferiority of hydromorphone has yet to be determined.

Methods: In this noninferiority randomized blinded clinical trial, 126 patients undergoing elective cesarean delivery under spinal anesthesia received either morphine 150 µg or hydromorphone 75 µg (ED90). The primary outcome was the between-group difference of the mean Numeric Rating Scale (NRS) pain score (0-10) for the first 24 hours after cesarean delivery, with a preestablished threshold for noninferiority of 1. This 24-hour NRS pain score was defined as a single number obtained at the 24 hours postcesarean delivery interview, based on participant's recall of their overall pain experience during this period. Secondary outcomes included differences in NRS pain scores every 6 hours, cumulative 24 hour opioid consumption, time-to-first opioid request, quality of recovery as measured by the Obstetric Quality of Recovery Score-11 (ObsQoR-11), frequency of interventions for side effects, and Apgar scores.

Results: The mean (standard deviation [SD]) of the 24-hour NRS pain score was 4.0 (1.7) for morphine and 3.6 (1.5) for hydromorphone (between-group difference -0.46 (95% confidence interval [CI], -1.0 to 0.1). Given that the upper limit of the 95% CI did not exceed 1, noninferiority of hydromorphone was established. No statistically significant differences were found in mean (SD) 24 hour oral morphine consumption (morphine: 4.2 mg (6.5) vs hydromorphone: 4.1 (8.0) mg; P = .98), median [interquartile range {IQR}] ObsQoR-11 score (morphine: score 87 [75-97.5] vs hydromorphone: score 90 [80-96.5]; P = .51), median [IQR] time to first opioid request (morphine: 10.2 [3.2-15.5] h versus hydromorphone: 6.2 [3.1-12.4] h; P = .35), or proportion of patients requiring interventions for opioid-related pruritus (morphine: 0.316 (variance 0.216) vs hydromorphone: 0.321 (variance 0.218) ( P = .96) and opioid-related nausea and vomiting (morphine: 0.333 (variance 0.222) vs hydromorphone: 0.393 (variance 0.238) ( P = .51).

Conclusions: Intrathecally, hydromorphone is noninferior to morphine for analgesia after elective cesarean delivery when using the previously established ED90 for both opioids (morphine: 150 µg versus hydromorphone: 75 µg); hydromorphone provides effective analgesia and may be a suitable alternative to morphine.

背景:脊髓麻醉鞘内吗啡通常是选择性剖宫产的首选麻醉方式。然而,副作用和药物短缺促使研究人员研究鞘内氢吗啡酮作为替代方法。这些研究确定了90%的患者使用这两种阿片类药物用于剖宫产后镇痛的有效镇痛剂量(ED90),但未能证明吗啡优于氢吗啡酮。然而,氢吗啡酮的非劣效性尚未确定。方法:在这项非劣效性随机盲法临床试验中,126例在脊髓麻醉下择期剖宫产的患者分别给予吗啡150µg或氢吗啡酮75µg (ED90)。主要结局是剖宫产后最初24小时的平均数值评定量表(NRS)疼痛评分(0-10)的组间差异,预设的非劣效性阈值为1。24小时NRS疼痛评分定义为剖宫产后24小时访谈中获得的单一数字,基于参与者在此期间对其整体疼痛体验的回忆。次要结局包括每6小时NRS疼痛评分、累计24小时阿片类药物消耗、首次使用阿片类药物的时间、通过产科恢复质量评分-11 (ObsQoR-11)衡量的恢复质量、副作用干预频率和Apgar评分的差异。结果:吗啡组24小时NRS疼痛评分的平均值(标准差[SD])为4.0(1.7),氢吗啡酮组为3.6(1.5)(组间差异为-0.46(95%可信区间[CI], -1.0 ~ 0.1)。鉴于95% CI上限不超过1,氢吗啡酮的非劣效性成立。平均(SD) 24小时口服吗啡用量(吗啡:4.2 mg (6.5) vs氢吗啡酮:4.1 (8.0)mg;P = .98),中位数[四分位数间距{IQR}] ObsQoR-11评分(吗啡:87分[75-97.5分]vs氢吗啡酮:90分[80-96.5分];P = .51),第一次阿片类药物请求的中位时间(IQR)(吗啡:10.2 [3.2-15.5]h vs氢吗啡酮:6.2 [3.1-12.4]h;P = 0.35),或阿片类药物相关瘙痒(吗啡:0.316(方差0.216)vs氢吗啡酮:0.321(方差0.218)(P = 0.96)和阿片类药物相关恶心和呕吐(吗啡:0.333(方差0.222)vs氢吗啡酮:0.393(方差0.238)(P = 0.51)需要干预的患者比例。结论:鞘内注射,氢吗啡酮在选择性剖宫产后的镇痛效果不逊于吗啡,使用先前建立的两种阿片类药物的ED90(吗啡:150µg对氢吗啡酮:75µg);氢吗啡酮具有有效的镇痛作用,可能是吗啡的合适替代品。
{"title":"Intrathecal Hydromorphone Versus Intrathecal Morphine for Postcesarean Delivery Analgesia: A Randomized Noninferiority Trial.","authors":"Sonny Cheng, John Bartolacci, Kevin Armstrong, Aldo Dobrowlanski, Philip M Jones, Sudha Indu Singh, Ilana Sebbag","doi":"10.1213/ANE.0000000000007580","DOIUrl":"10.1213/ANE.0000000000007580","url":null,"abstract":"<p><strong>Background: </strong>Spinal anesthesia with intrathecal morphine is often the preferred anesthetic modality for elective cesarean delivery. Side effects and drug shortages, however, prompted researchers to look into intrathecal hydromorphone as an alternative. These studies established the effective analgesic dose for 90% of patients (ED90) for both opioids for postcesarean analgesia, yet failed to demonstrate the superiority of morphine over hydromorphone. Nonetheless, the noninferiority of hydromorphone has yet to be determined.</p><p><strong>Methods: </strong>In this noninferiority randomized blinded clinical trial, 126 patients undergoing elective cesarean delivery under spinal anesthesia received either morphine 150 µg or hydromorphone 75 µg (ED90). The primary outcome was the between-group difference of the mean Numeric Rating Scale (NRS) pain score (0-10) for the first 24 hours after cesarean delivery, with a preestablished threshold for noninferiority of 1. This 24-hour NRS pain score was defined as a single number obtained at the 24 hours postcesarean delivery interview, based on participant's recall of their overall pain experience during this period. Secondary outcomes included differences in NRS pain scores every 6 hours, cumulative 24 hour opioid consumption, time-to-first opioid request, quality of recovery as measured by the Obstetric Quality of Recovery Score-11 (ObsQoR-11), frequency of interventions for side effects, and Apgar scores.</p><p><strong>Results: </strong>The mean (standard deviation [SD]) of the 24-hour NRS pain score was 4.0 (1.7) for morphine and 3.6 (1.5) for hydromorphone (between-group difference -0.46 (95% confidence interval [CI], -1.0 to 0.1). Given that the upper limit of the 95% CI did not exceed 1, noninferiority of hydromorphone was established. No statistically significant differences were found in mean (SD) 24 hour oral morphine consumption (morphine: 4.2 mg (6.5) vs hydromorphone: 4.1 (8.0) mg; P = .98), median [interquartile range {IQR}] ObsQoR-11 score (morphine: score 87 [75-97.5] vs hydromorphone: score 90 [80-96.5]; P = .51), median [IQR] time to first opioid request (morphine: 10.2 [3.2-15.5] h versus hydromorphone: 6.2 [3.1-12.4] h; P = .35), or proportion of patients requiring interventions for opioid-related pruritus (morphine: 0.316 (variance 0.216) vs hydromorphone: 0.321 (variance 0.218) ( P = .96) and opioid-related nausea and vomiting (morphine: 0.333 (variance 0.222) vs hydromorphone: 0.393 (variance 0.238) ( P = .51).</p><p><strong>Conclusions: </strong>Intrathecally, hydromorphone is noninferior to morphine for analgesia after elective cesarean delivery when using the previously established ED90 for both opioids (morphine: 150 µg versus hydromorphone: 75 µg); hydromorphone provides effective analgesia and may be a suitable alternative to morphine.</p>","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"19-27"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144265126","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}
引用次数: 0
Examining Critical Task Performance in Blue and Green Ambient Lighting Environments in Modern Interventional Suites: An Anesthetic Care Perspective. 检查关键任务性能在蓝色和绿色环境照明环境在现代介入套房:麻醉护理的观点。
IF 3.8 2区 医学 Q1 ANESTHESIOLOGY Pub Date : 2026-01-01 Epub Date: 2025-08-25 DOI: 10.1213/ANE.0000000000007696
André A Van Zundert, Joseph Queen, Jacqui Chiu, Benjamin J Keir
<p><strong>Background: </strong>An optimal visual environment in operating rooms (ORs) is critical for ensuring safe effective patient care. This study's primary objective assessed-in a simulated environment-OR staff task performance under spectrally shifted (blue and green) ambient lighting conditions, commonly used in minimally invasive surgical procedures, by comparing success rates, error rates and completion times to that under white light. Secondary objectives included identifying drug label features most relied on for accurate decision-making under these lighting conditions.</p><p><strong>Methods: </strong>This randomized-single-center-crossover trial involved 300 OR staff and volunteers at the Royal Brisbane and Women's Hospital. Participants were screened for color vision deficiencies using the Ishihara and Farnsworth D-15 Tests (FT), then randomized to 1 of 2 lighting sequences (blue-green or green-blue). Each participant completed the FT and Drug Label Matching Test (DLMT) under each lighting condition, with performances compared to white light. A questionnaire assessed which drug label characteristics participants used for identification under each lighting condition.</p><p><strong>Results: </strong>Of the 266 eligible participants, all successfully completed the FT under white light (100% success; 95% confidence interval [CI], 99.01%-100%), but none succeeded under blue/green light (0% success; 95% CI, 0.00%-0.99%). Median FT completion times were 50 (interquartile range [IQR], 39-63) seconds (white), 64 (IQR, 49-84) seconds (blue), and 64 (IQR, 44-93) seconds (green). Median DLMT completion times were 76 (IQR, 65-89) seconds (white), 103 (IQR, 88-126) seconds (blue), and 96 (IQR, 78-120) seconds (green), with significantly faster performance under white light compared to blue or green ( P < .001 for both). DLMT failure rates were significantly higher ( P = .033) under blue/green light compared to white, with the odds of an error occurring under blue/green light estimated to be 3.67 times higher (95% CI, 1.05-12.87). Under blue and green light, reliance on color for drug identification dropped sharply (from 96.6% to ~41%-42.5%), while use of drug names differed slightly (76.3% to ~80%-83%), grouping (8.3% to ~50%-56.8%) and memory (0.4% to ~42%-45%) both increased substantially.</p><p><strong>Conclusions: </strong>This study demonstrated that ambient blue and green lighting significantly impairs the ability of OR staff to distinguish color hues, compromising color-dependent decision-making. The Farnsworth D-15 Test confirmed that color hues become virtually indistinguishable under spectrally shifted lighting. Drug Label Matching Test performance declined to a lesser extent due to the presence of multiple identifiers on drug labels with increased reliance on noncolor cues. These findings underscore potential challenges in accurately assessing tissue perfusion and identifying medications, thereby elevating risks of medication errors. T
背景:手术室的最佳视觉环境是确保患者安全有效护理的关键。本研究的主要目的是在模拟环境中,通过比较白光下的成功率、错误率和完成时间,评估在光谱移位(蓝色和绿色)环境照明条件下(通常用于微创外科手术)手术室工作人员的任务表现。次要目标包括确定在这些照明条件下准确决策最依赖的药物标签特征。方法:这项随机单中心交叉试验涉及300名皇家布里斯班妇女医院的手术室工作人员和志愿者。参与者使用石原和法恩斯沃斯D-15测试(FT)筛选色觉缺陷,然后随机分配到2个照明序列中的1个(蓝绿色或绿蓝色)。每个参与者在每种照明条件下完成FT和药物标签匹配测试(DLMT),其表现与白光相比。一份调查问卷评估了参与者在每种照明条件下用于识别的药物标签特征。结果:在266名符合条件的参与者中,所有人在白光下成功完成了FT(100%成功;95%置信区间[CI], 99.01%-100%),但在蓝/绿光下没有人成功(0%成功;95% CI, 0.000% -0.99%)。FT完成时间中位数为50(四分位间距[IQR], 39-63)秒(白色),64 (IQR, 49-84)秒(蓝色)和64 (IQR, 44-93)秒(绿色)。DLMT完成时间中位数为76 (IQR, 65-89)秒(白色),103 (IQR, 88-126)秒(蓝色)和96 (IQR, 78-120)秒(绿色),白光下的表现明显快于蓝光或绿光(P < 0.001)。与白光相比,蓝/绿光下DLMT的失败率明显更高(P = 0.033),蓝/绿光下发生错误的几率估计是3.67倍(95% CI, 1.05-12.87)。在蓝光和绿光下,药物识别对颜色的依赖程度急剧下降(从96.6%下降到~41% ~ 42.5%),对药物名称的使用略有不同(从76.3%上升到~80% ~ 83%),分组(从8.3%上升到~50% ~ 56.8%)和记忆(从0.4%上升到~42% ~ 45%)均显著增加。结论:本研究表明,环境中的蓝色和绿色照明显著损害了手术室员工区分色调的能力,影响了颜色依赖的决策。法恩斯沃斯D-15测试证实,在光谱移位的照明下,颜色几乎无法区分。由于药物标签上存在多个标识符,并且增加了对非颜色提示的依赖,因此药物标签匹配测试性能下降的程度较小。这些发现强调了准确评估组织灌注和识别药物的潜在挑战,从而增加了药物错误的风险。为了解决这些问题,应该考虑改善环境照明控制、使用机器可读的药物标签或集成增强现实工具等策略。进一步的研究需要探索光谱移位照明的临床意义,并评估现实世界围手术期环境下的解决方案。
{"title":"Examining Critical Task Performance in Blue and Green Ambient Lighting Environments in Modern Interventional Suites: An Anesthetic Care Perspective.","authors":"André A Van Zundert, Joseph Queen, Jacqui Chiu, Benjamin J Keir","doi":"10.1213/ANE.0000000000007696","DOIUrl":"10.1213/ANE.0000000000007696","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;An optimal visual environment in operating rooms (ORs) is critical for ensuring safe effective patient care. This study's primary objective assessed-in a simulated environment-OR staff task performance under spectrally shifted (blue and green) ambient lighting conditions, commonly used in minimally invasive surgical procedures, by comparing success rates, error rates and completion times to that under white light. Secondary objectives included identifying drug label features most relied on for accurate decision-making under these lighting conditions.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This randomized-single-center-crossover trial involved 300 OR staff and volunteers at the Royal Brisbane and Women's Hospital. Participants were screened for color vision deficiencies using the Ishihara and Farnsworth D-15 Tests (FT), then randomized to 1 of 2 lighting sequences (blue-green or green-blue). Each participant completed the FT and Drug Label Matching Test (DLMT) under each lighting condition, with performances compared to white light. A questionnaire assessed which drug label characteristics participants used for identification under each lighting condition.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Of the 266 eligible participants, all successfully completed the FT under white light (100% success; 95% confidence interval [CI], 99.01%-100%), but none succeeded under blue/green light (0% success; 95% CI, 0.00%-0.99%). Median FT completion times were 50 (interquartile range [IQR], 39-63) seconds (white), 64 (IQR, 49-84) seconds (blue), and 64 (IQR, 44-93) seconds (green). Median DLMT completion times were 76 (IQR, 65-89) seconds (white), 103 (IQR, 88-126) seconds (blue), and 96 (IQR, 78-120) seconds (green), with significantly faster performance under white light compared to blue or green ( P &lt; .001 for both). DLMT failure rates were significantly higher ( P = .033) under blue/green light compared to white, with the odds of an error occurring under blue/green light estimated to be 3.67 times higher (95% CI, 1.05-12.87). Under blue and green light, reliance on color for drug identification dropped sharply (from 96.6% to ~41%-42.5%), while use of drug names differed slightly (76.3% to ~80%-83%), grouping (8.3% to ~50%-56.8%) and memory (0.4% to ~42%-45%) both increased substantially.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;This study demonstrated that ambient blue and green lighting significantly impairs the ability of OR staff to distinguish color hues, compromising color-dependent decision-making. The Farnsworth D-15 Test confirmed that color hues become virtually indistinguishable under spectrally shifted lighting. Drug Label Matching Test performance declined to a lesser extent due to the presence of multiple identifiers on drug labels with increased reliance on noncolor cues. These findings underscore potential challenges in accurately assessing tissue perfusion and identifying medications, thereby elevating risks of medication errors. T","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"45-55"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144939252","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}
引用次数: 0
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Anesthesia and analgesia
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