Anesthesia and analgesia最新文献

{"title":"Mapping Perioperative Care Randomized Controlled Trials in Sub-Saharan Africa: A Scoping Review.","authors":"Laila Collier, Ameer S-J Hohlfeld, Bruce M Biccard","doi":"10.1213/ANE.0000000000007460","DOIUrl":"https://doi.org/10.1213/ANE.0000000000007460","url":null,"abstract":"<p><p>The World Health Organization has recognized surgical and anesthesia care as integral components of universal health coverage. In sub-Saharan Africa (SSA), 93% of the population lacks access to essential surgical services. Postsurgery mortality in Africa is double the global average. The involvement of anesthesia providers is crucial for improved outcomes. Perioperative research can produce context-specific solutions to challenges faced in the perioperative period. SSA conducts fewer randomized controlled trials (RCTs) than high-income countries, limiting its contribution to global evidence. Our primary objectives were to document the geographical distribution of included RCTs, describe their characteristics, and evaluate the reporting quality using the Consolidated Standards of Reporting Trials (CONSORT)-2010 checklist. We followed the PRISMA Scoping Reviews (PRISMAScR) Checklist. We searched MEDLINE, the Cochrane Library, and Scopus. We identified perioperative care RCTs within SSA published from 2000 to 2022. Two independent reviewers screened potential studies and extracted data in duplicate, with disagreements resolved through consensus or a third reviewer. Quantitative analysis was done with STATA 16, and data were summarized narratively. We compared RCT quality pre-CONSORT-2010 to post-CONSORT-2010, using Pearson's χ2 test or Fisher exact test (as applicable), considering P < .05 as statistically significant. Of 3319 records, 169 eligible RCTs were identified, randomizing 45,376 participants, with a mean sample size of 98. Between the years 2000 and 2022, there was an exponential trend towards an increasing number of RCTs in SSA (y = 1,5619e0,1051x). The RCTs were from 16 countries in SSA. Most studies were single-country, single-center, led by authors from Nigeria (63/169, 37.3 %) and South Africa (41/169, 24.3%). Most interventions were conducted intraoperatively (n = 125/169, 74%). Pharmacotherapy interventions were most investigated (n = 64/169, 37.9%), followed by analgesic interventions (n = 42/169, 24.9%). The surgical discipline most investigated was obstetrics (n = 51/169, 30.2%). The reporting quality was generally poor, with most RCTs not adhering to CONSORT guidelines and failing to register on a trial registry. This scoping review provides a comprehensive overview of perioperative care RCTs in SSA, highlighting limitations such as small sample sizes, under-representation of high surgical burden disciplines, and poor outcome reporting. Clinical trial capacity is limited to a few countries and institutions, and methodological quality remains poor despite reporting guidelines. There is an opportunity to enhance context-appropriate RCTs in SSA by prioritizing high-quality research through collaborative efforts. Our findings serve as a resource for researchers, funders, and policymakers in perioperative care research in Africa to improve future RCT designs and reporting.</p>","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623243","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}

{"title":"Bridging the Gap: The Challenge of Conducting Clinical Trials in Sub-Saharan Africa.","authors":"Arthur Kwizera, Laura A Hobbs, Daphne Kabatoro, Tom Bashford","doi":"10.1213/ANE.0000000000007461","DOIUrl":"10.1213/ANE.0000000000007461","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7617508/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623242","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}

{"title":"Volatile Anesthetic-Induced Skeletal Muscle Atrophy in Mice and Murine-Derived Myotubes: The Role of the Akt Pathway.","authors":"Akihisa Taguchi, Shinichi Kai, Shino Matsukawa, Hideya Seo, Moritoki Egi","doi":"10.1213/ANE.0000000000007466","DOIUrl":"https://doi.org/10.1213/ANE.0000000000007466","url":null,"abstract":"<p><strong>Background: </strong>Volatile anesthetics are gaining attention as sedatives in intensive care units. Sedation is a significant risk factor for skeletal muscle atrophy and weakness in critically ill patients; however, volatile anesthetics' influence on skeletal muscle atrophy remains unclear. Therefore, we investigated their effects on skeletal muscle mass using a murine-derived muscle cell line and mice.</p><p><strong>Methods: </strong>C2C12 myotubes were exposed to isoflurane or sevoflurane. Myotube diameter was assessed using immunofluorescence. The expression levels of Atrogin-1, MuRF1, and LC3-II and phosphorylation levels of p70 S6K and Akt were analyzed to evaluate protein degradation and synthesis. To determine whether these effects were mediated through the Akt pathway, experiments with insulin-like growth factor 1 (IGF-1) were performed. Furthermore, mice skeletal muscle exposed to isoflurane or sevoflurane were compared with control mice and short-term immobility mice induced by sciatic nerve denervation (DN) or hindlimb suspension (HS).</p><p><strong>Results: </strong>Exposure of C2C12 myotubes to 2.8% isoflurane or 5.0% sevoflurane reduced the myotube diameter by 14.4 µm (95% confidential interval [CI], 11.7-17.1, P < .001) and 13.2 µm (95% CI, 10.1-16.2, P < .001), respectively. Exposure to 2.8% isoflurane increased the expressions of Atrogin-1 (2.9-fold [95% CI, 2.1- to 3.8-fold], P < .001), MuRF1 (3.1-fold [95% CI, 2.4- to 3.8-fold], P < .001), and LC3-II (1.6-fold [95% CI, 1.4- to 1.8-fold], P < .001), whereas decreasing phosphorylation of p70 S6K (0.3-fold [95% CI, 0.2- to 0.4-fold], P < .001) and Akt (0.4-fold [95% CI, 0.3- to 0.5-fold], P < .001). Exposure to 5.0% sevoflurane resulted in similar effects. Additionally, IGF-1 counteracted the effects of isoflurane on myotube mass. In mice skeletal muscle, exposure to 1% isoflurane or 1.5% sevoflurane decreased Akt phosphorylation (isoflurane: 0.4-fold [95% CI, 0.1- to 0.8-fold], P = .003; sevoflurane: 0.5-fold [95% CI, 0.4- to 0.6-fold], P = .011) and increased the expression levels of Atrogin-1 (isoflurane: 4.1-fold [95% CI, 3.2- to 5.1-fold], P < .001; sevoflurane: 2.3-fold [95% CI, 1.1- to 3.5-fold], P = .026), MuRF1 (isoflurane: 2.7-fold [95% CI, 1.3- to 4.1-fold], P = .01; sevoflurane: 2.3-fold [95% CI, 1.0- to 3.7-fold], P = .022), and LC3-II (isoflurane: 1.9-fold [95% CI, 0.9- to 3.0-fold], P = .045; sevoflurane: 1.5-fold [95% CI, 1.4- to 1.6-fold], P < .001) while decreasing p70 S6K phosphorylation (isoflurane: 0.5-fold [95% CI, 0.4- to 0.6-fold], P = .013; sevoflurane: 0.7-fold [95% CI, 0.6- to 0.8-fold], P = .008) compared with DN. Similar results were observed when comparing between isoflurane or sevoflurane exposure and HS.</p><p><strong>Conclusions: </strong>Volatile anesthetics induce skeletal muscle atrophy by downregulating the Akt pathway, suggesting they may exacerbate skeletal muscle atrophy beyond immobility effects.</p>","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623245","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}

{"title":"Right Ventricular Ejection Fraction Assessed by Single-Beat Three-Dimensional Transesophageal Echocardiography in Mechanically Ventilated Patients.","authors":"Jinyang Yu, Kjell Høyland, Erik Andreas Rye Berg, Tomas Dybos Tannvik, Bjørnar Grenne, Svend Aakhus","doi":"10.1213/ANE.0000000000007437","DOIUrl":"https://doi.org/10.1213/ANE.0000000000007437","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623244","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}

{"title":"Artificial Intelligence Supporting Anesthesiology Clinical Decision-Making.","authors":"Rebecca D Minehart, Scott E Stefanski","doi":"10.1213/ANE.0000000000007473","DOIUrl":"https://doi.org/10.1213/ANE.0000000000007473","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623241","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}

{"title":"Inspired Oxygen Concentration During the Re-initiation of Two-Lung Ventilation in Thoracic Surgery: A Post Hoc Analysis of Data From the Multicenter Perioperative Outcomes Group.","authors":"Nicholas J Douville, Michael Mathis, Mark E Smolkin, Linda W Martin, Wanda M Popescu, Randal S Blank","doi":"10.1213/ANE.0000000000007479","DOIUrl":"https://doi.org/10.1213/ANE.0000000000007479","url":null,"abstract":"<p><strong>Background: </strong>A recent multicenter study suggested that the duration of single-lung ventilation, and not the intensity of the hyperoxia (ie, inspired oxygen fraction) during this period, contributes to the development of postoperative pulmonary complications. However, lung reinflation, at the cessation of single-lung ventilation, is a period of particular susceptibility to hyperoxic injury, and the impact of alveolar hyperoxia during this period on postoperative pulmonary complications has not been specifically assessed.</p><p><strong>Methods: </strong>Clinical practice surrounding the inspired oxygen fraction at lung reinflation and potential clinical implications of alveolar hyperoxia occurring during this period were assessed in this secondary analysis of data from a multicenter retrospective cohort study.</p><p><strong>Results: </strong>On multivariable logistic regression, average inspired oxygen fraction during the period of lung reinflation was independently associated with postoperative pulmonary complications (adjusted odds ratio [aOR]: 1.14, 95% confidence interval [CI], 1.01-1.29, P = .032; unit: 10% FiO2 increment). The duration of single-lung ventilation (in hours) also remained significant in this model (aOR: 1.21, 95% CI, 1.03-1.42, P = .020).</p><p><strong>Conclusions: </strong>The results of this study suggest a unique sensitivity to alveolar hyperoxia at the time of lung reinflation and raise the possibility that restricting the inspired oxygen fraction during lung reinflation could reduce injury and related sequelae. Our findings imply that a 10% increase in FiO2 during the reinflation period (eg, increasing FiO2 from 80% to 90%) would be associated with 14% greater odds of developing a postoperative pulmonary complication. However, they should be viewed as hypothesis-generating due to the retrospective nature of the study and serve as justification for prospective investigation of this association.</p>","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143596086","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}

{"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":"https://doi.org/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":""},"PeriodicalIF":4.6,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","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":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond the Numbers: Exercising Caution With Interpreting Maternal Outcome Disparities in Coronavirus Disease-2019 Research.","authors":"Ibraheem M Karaye, Dimitry Tumin, Olubukola O Nafiu","doi":"10.1213/ANE.0000000000007483","DOIUrl":"https://doi.org/10.1213/ANE.0000000000007483","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143596080","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}

{"title":"In Response.","authors":"Siddhartha Reddy Janga, Balachundhar Subramaniam","doi":"10.1213/ANE.0000000000007508","DOIUrl":"https://doi.org/10.1213/ANE.0000000000007508","url":null,"abstract":"","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571607","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}

{"title":"Comparison of the Learning Curves of Ultrasound-Guided In-Plane Needle Placement Among Four Different Puncture Modes: A Randomized, Crossover, Simulation Study.","authors":"Yingjie Hu, Jing Xiao, Xiao He, Tingting Qin, Li Wan, Wenlong Yao","doi":"10.1213/ANE.0000000000007459","DOIUrl":"https://doi.org/10.1213/ANE.0000000000007459","url":null,"abstract":"<p><strong>Background: </strong>The effects of different positional relationships between the probe, needle, and puncture model on in-plane puncture performance have not been fully evaluated. In this simulation study, we used a 4-period crossover design to compare the learning curves of ultrasound-guided in-plane needle placement among 4 different puncture modes by novices.</p><p><strong>Methods: </strong>Forty residents were randomly assigned to receive training in one of 4 puncture modes according to the placement of the puncture model and the orientation of the probe to the operator: horizontal phantom-parallel probe (HP), horizontal phantom-vertical probe (HV), vertical phantom-parallel probe (VP), and vertical phantom-vertical probe (VV). They were allowed 10 trials on each mode and then received the other 3 trainings following the predefined sequences based on a Williams design. Puncture time was recorded from needle entry until successful in-plane puncture under ultrasound guidance.</p><p><strong>Results: </strong>Linear and generalized linear models indicated significant effects of puncture mode and trial number on puncture time (P < .001 for all models). The mean (standard deviation [SD]) puncture times for 10 trials were 44 (44) s for HP, 37 (34) s for HV, 80 (57) s for VP, and 46 (48) s for VV. HV had the shortest puncture time, while VP had the longest. No significant difference was observed in puncture time between VV and HP modes (P = .330). Within each mode, puncture time significantly decreased from the first to the tenth trial (P = .001 for HP, P < .001 for HV, P < .001 for VP, and P = .002 for VV). VP showed the steepest learning curve; however, even after 10 trials, its puncture time remained significantly higher than that of the other 3 modes (P < .001 for all comparisons).</p><p><strong>Conclusions: </strong>Ultrasound-guided in-plane puncture difficulty follows the order VP > HP = VV > HV.</p>","PeriodicalId":7784,"journal":{"name":"Anesthesia and analgesia","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571606","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}