Pub Date : 2026-01-01Epub Date: 2025-08-25DOI: 10.1213/ANE.0000000000007697
Craig S Webster
{"title":"Color-Coded Labels, Colored Lighting, and Systems in the Operating Room.","authors":"Craig S Webster","doi":"10.1213/ANE.0000000000007697","DOIUrl":"10.1213/ANE.0000000000007697","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"41-44"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144939272","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 : 2026-01-01Epub Date: 2024-11-21DOI: 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.
{"title":"Outcomes Associated with a Patient Blood Management Program in Major Obstetric Hemorrhage: A Retrospective Cohort Study.","authors":"Tarek Ansari, Saleema Wani, Axel Hofmann, Nanda Shetty, Kanan Sangani, Clifford J Stamp, Kevin Murray, Kevin M Trentino","doi":"10.1213/ANE.0000000000007292","DOIUrl":"10.1213/ANE.0000000000007292","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"114-123"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142685807","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 : 2026-01-01Epub Date: 2025-06-10DOI: 10.1213/ANE.0000000000007616
Ana Ghenciulescu, Jaideep J Pandit, Ian M Devonshire, Susan A Greenfield
{"title":"The Differential Impact of Three Different Anesthetics on Large-Scale Neuronal Activity Measured Using Voltage-Sensitive Dye Imaging in Rat Brain Slices.","authors":"Ana Ghenciulescu, Jaideep J Pandit, Ian M Devonshire, Susan A Greenfield","doi":"10.1213/ANE.0000000000007616","DOIUrl":"10.1213/ANE.0000000000007616","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"181-185"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12677332/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144265127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2025-09-16DOI: 10.1213/ANE.0000000000007771
Edgardo E Reynoso, Richard L Applegate, Melissa D McCabe
{"title":"In Response.","authors":"Edgardo E Reynoso, Richard L Applegate, Melissa D McCabe","doi":"10.1213/ANE.0000000000007771","DOIUrl":"10.1213/ANE.0000000000007771","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"e3"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145074219","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 : 2026-01-01Epub Date: 2025-03-10DOI: 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。
{"title":"Effects of Perioperative Exposure on the Microbiome and Outcomes From an Immune Challenge in C57Bl/6 Adult Mice.","authors":"Mara Serbanescu, Seoho Lee, Fengying Li, Sri Harsha Boppana, Mohamed Elebasy, James R White, C David Mintz","doi":"10.1213/ANE.0000000000007467","DOIUrl":"10.1213/ANE.0000000000007467","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"171-180"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12353306/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143596083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2025-08-29DOI: 10.1213/ANE.0000000000007678
Bhiken I Naik, Ryan Folks, Christian Ndaribitse, Gregory Sund, Matthew Kynes, Hyla Kluyts
{"title":"Bridging the Anesthesia Digital Data Gap in Low-Middle-Income Countries: Computer Vision-Ready Paper Health Records.","authors":"Bhiken I Naik, Ryan Folks, Christian Ndaribitse, Gregory Sund, Matthew Kynes, Hyla Kluyts","doi":"10.1213/ANE.0000000000007678","DOIUrl":"10.1213/ANE.0000000000007678","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"210-212"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144939240","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 : 2026-01-01Epub Date: 2025-12-15DOI: 10.1213/ANE.0000000000007730
Steven B Greenberg, Tomoko Yorozu
{"title":"The Creation of ICAPS 2024: The Power of Teamwork, Collaboration, and a Shared Vision in Advancing Patient Safety.","authors":"Steven B Greenberg, Tomoko Yorozu","doi":"10.1213/ANE.0000000000007730","DOIUrl":"10.1213/ANE.0000000000007730","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":"68-75"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144939312","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 : 2026-01-01Epub Date: 2025-12-15DOI: 10.1213/ANE.0000000000007880
{"title":"Pharmacokinetics and Pharmacodynamics During CPB.","authors":"","doi":"10.1213/ANE.0000000000007880","DOIUrl":"https://doi.org/10.1213/ANE.0000000000007880","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":"142 1","pages":"4"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145762037","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 : 2026-01-01Epub Date: 2025-06-10DOI: 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.
{"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}
Pub Date : 2026-01-01Epub Date: 2025-08-25DOI: 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
{"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":"<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","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}