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Liu X, Flanagan C, Li G, Lei Y, Zeng L, Fang J, Guo X, McGrath S, Han Y. Identification of difficult laryngoscopy using an optimized hybrid architecture. BMC Med Res Methodol 2024; 24:4. [PMID: 38177983 PMCID: PMC10765670 DOI: 10.1186/s12874-023-02115-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 12/01/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Identification of difficult laryngoscopy is a frequent demand in cervical spondylosis clinical surgery. This work aims to develop a hybrid architecture for identifying difficult laryngoscopy based on new indexes. METHODS Initially, two new indexes for identifying difficult laryngoscopy are proposed, and their efficacy for predicting difficult laryngoscopy is compared to that of two conventional indexes. Second, a hybrid adaptive architecture with convolutional layers, spatial extraction, and a vision transformer is proposed for predicting difficult laryngoscopy. The proposed adaptive hybrid architecture is then optimized by determining the optimal location for extracting spatial information. RESULTS The test accuracy of four indexes using simple model is 0.8320. The test accuracy of optimized hybrid architecture using four indexes is 0.8482. CONCLUSION The newly proposed two indexes, the angle between the lower margins of the second and sixth cervical spines and the vertical direction, are validated to be effective for recognizing difficult laryngoscopy. In addition, the optimized hybrid architecture employing four indexes demonstrates improved efficacy in detecting difficult laryngoscopy. TRIAL REGISTRATION Ethics permission for this research was obtained from the Medical Scientific Research Ethics Committee of Peking University Third Hospital (IRB00006761-2015021) on 30 March 2015. A well-informed agreement has been received from all participants. Patients were enrolled in this research at the Chinese Clinical Trial Registry ( http://www.chictr.org.cn , identifier: ChiCTR-ROC-16008598) on 6 June 2016.
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Affiliation(s)
- XiaoXiao Liu
- College of Mathematics and Information Science, Hebei University, Baoding, China
- Electronic and Computer Engineering, University of Limerick, Limerick, Ireland
| | - Colin Flanagan
- Electronic and Computer Engineering, University of Limerick, Limerick, Ireland
| | - Gang Li
- Department of General Surgery (GL), Peking University Third Hospital, Beijing, China
| | - Yiming Lei
- Ministry of Education Engineering Research Centre on Mobile Digital Hospital Systems, School of Electronics, Peking University, Beijing, China.
| | - Liaoyuan Zeng
- School of Communications, University of Electronic Science and Technology of China, Chengdu, China
| | - Jingchao Fang
- Department of Radiology (JCF), Peking University Third Hospital, Beijing, China
| | - Xiangyang Guo
- Department of Anaesthesiology, Peking University Third Hospital, Beijing, China
| | - Sean McGrath
- Electronic and Computer Engineering, University of Limerick, Limerick, Ireland.
| | - Yongzheng Han
- Department of Anaesthesiology, Peking University Third Hospital, Beijing, China.
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Xia M, Ma W, Zuo M, Deng X, Xue F, Battaglini D, Aggarwal V, Varrassi G, Cerny V, Di Giacinto I, Cataldo R, Ma D, Yamamoto T, Rekatsina M, De Cassai A, Carsetti A, Chang MG, Seet E, Davis DP, Irwin MG, Huang Y, Jiang H. Expert consensus on difficult airway assessment. Hepatobiliary Surg Nutr 2023; 12:545-566. [PMID: 37600997 PMCID: PMC10432292 DOI: 10.21037/hbsn-23-46] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 04/23/2023] [Indexed: 08/22/2023]
Abstract
Background Identifying a potentially difficult airway is crucial both in anaesthesia in the operating room (OR) and non-operation room sites. There are no guidelines or expert consensus focused on the assessment of the difficult airway before, so this expert consensus is developed to provide guidance for airway assessment, making this process more standardized and accurate to reduce airway-related complications and improve safety. Methods Seven members from the Airway Management Group of the Chinese Society of Anaesthesiology (CSA) met to discuss the first draft and then this was sent to 15 international experts for review, comment, and approval. The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) is used to determine the level of evidence and grade the strength of recommendations. The recommendations were revised through a three-round Delphi survey from experts. Results This expert consensus provides a comprehensive approach to airway assessment based on the medical history, physical examination, comprehensive scores, imaging, and new developments including transnasal endoscopy, virtual laryngoscopy, and 3D printing. In addition, this consensus also reviews some new technologies currently under development such as prediction from facial images and voice information with the aim of proposing new research directions for the assessment of difficult airway. Conclusions This consensus applies to anesthesiologists, critical care, and emergency physicians refining the preoperative airway assessment and preparing an appropriate intubation strategy for patients with a potentially difficult airway.
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Affiliation(s)
- Ming Xia
- Department of Anesthesiology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wuhua Ma
- Department of Anesthesiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Mingzhang Zuo
- Department of Anaesthesiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Science, Beijing, China
| | - Xiaoming Deng
- Department of Anesthesiology, Plastic Surgery Hospital, CAMS and PUMC, Beijing, China
| | - Fushan Xue
- Department of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Denise Battaglini
- Anesthesia and Intensive Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy
| | - Vivek Aggarwal
- Department of Conservative Dentistry & Endodontics, Jamia Millia Islamia, New Delhi, India
| | | | - Vladimir Cerny
- Department of Anaesthesiology and Intensive Care Medicine, University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Ida Di Giacinto
- Unit of Anesthesia and Intensive Care, Mazzoni Hospital, Ascoli Piceno, Italy
| | - Rita Cataldo
- Unit of Anaesthesia, Intensive Care and Pain Management, Department of Medicine, Università Campus Bio-Medico of Rome, Roma, Italy
| | - Daqing Ma
- Division of Anaesthetics, Pain Medicine & Intensive Care, Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, and Chelsea and Westminster Hospital, London, UK
| | - Toru Yamamoto
- Division of Dental Anesthesiology, Graduate School of Medicine and Dental Sciences, Niigata University, Niigata, Japan
| | - Martina Rekatsina
- Department of Anaesthesiology, National and Kapodistrian University of Athens, Athens, Greece
| | - Alessandro De Cassai
- Institute of Anesthesia and Intensive Care Unit, University Hospital of Padua, Padua, Italy
| | - Andrea Carsetti
- Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, Italy
- Anesthesia and Intensive Care Unit, Azienda Ospedaliero Universitaria delle Marche, Ancona, Italy
| | - Marvin G. Chang
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Edwin Seet
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Anaesthesia, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Daniel P. Davis
- Division of Emergency Medical Services, Logan Health, Kalispell, MT, USA
- Air Methods Corporation, Greenwood Park, CO, USA
| | - Michael G. Irwin
- Department of Anesthesiology, The University of Hong Kong, Hong Kong, China
| | - Yuguang Huang
- Department of Anesthesiology, Peking Union Medical College Hospital, Beijing, China
| | - Hong Jiang
- Department of Anesthesiology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Furlan D, Deana C, Orso D, Licari M, Cappelletto B, DE Monte A, Vetrugno L, Bove T. Perioperative management of spinal cord injury: the anesthesiologist's point of view. Minerva Anestesiol 2021; 87:1347-1358. [PMID: 34874136 DOI: 10.23736/s0375-9393.21.15753-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Traumatic spinal cord injury (SCI) is one of the most devastating events a person can experience. It may be life-threatening or result in long-term disability. This narrative review aims to delineate a systematic step-wise airways, breathing, circulation and disability (ABCD) approach to perioperative patient management during spinal cord surgery in order to fill some of the gaps in our current knowledge. METHODS We performed a comprehensive review of the literature regarding the perioperative management of traumatic spinal injuries from May 15, 2020, to December 13, 2020. We consulted the PubMed and Embase database libraries. RESULTS Videolaryngoscopy supplements the armamentarium available for airway management. Optical fiberscope use should be evaluated when intubating awake patients. Respiratory complications are frequent in the acute phase of traumatic spinal injury, with an estimated incidence of 36-83%. Early tracheostomy can be considered for expected difficult weaning from mechanical ventilation. Careful intraoperative management of administered fluids should be pursued to avoid complications from volume overload. Neuromonitoring requires investments in staff training and cooperation, but better outcomes have been obtained in centers where it is routinely applied. The prone position can cause rare but devastating complications, such as ischemic optic neuropathy; thus, the anesthetist should take the utmost care in positioning the patient. CONCLUSIONS A one-size fit all approach to spinal surgery patients is not applicable due to patient heterogeneity and the complexity of the procedures involved. The neurologic outcome of spinal surgery can be improved, and the incidence of complications reduced with better knowledge of patient-specific aspects and individualized perioperative management.
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Affiliation(s)
- Davide Furlan
- Department of Medicine (DAME), University of Udine, Udine, Italy
| | - Cristian Deana
- Department of Anesthesia and Intensive Care Medicine, ASUFC University Hospital of Udine, Udine, Italy
| | - Daniele Orso
- Department of Medicine (DAME), University of Udine, Udine, Italy
| | - Maurizia Licari
- Department of Anesthesia and Intensive Care Medicine, ASUFC University Hospital of Udine, Udine, Italy
| | - Barbara Cappelletto
- Section of Spine and Spinal Cord Surgery, Department of Neurological Sciences, ASUFC University Hospital of Udine, Udine, Italy
| | - Amato DE Monte
- Department of Anesthesia and Intensive Care Medicine, ASUFC University Hospital of Udine, Udine, Italy
| | - Luigi Vetrugno
- Department of Medicine (DAME), University of Udine, Udine, Italy - .,Department of Anesthesia and Intensive Care Medicine, ASUFC University Hospital of Udine, Udine, Italy
| | - Tiziana Bove
- Department of Medicine (DAME), University of Udine, Udine, Italy.,Department of Anesthesia and Intensive Care Medicine, ASUFC University Hospital of Udine, Udine, Italy
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Liu B, Song Y, Liu K, Zhou F, Ji H, Tian Y, Han YZ. Radiological indicators to predict the application of assistant intubation techniques for patients undergoing cervical surgery. BMC Anesthesiol 2020; 20:238. [PMID: 32943014 PMCID: PMC7499909 DOI: 10.1186/s12871-020-01153-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Accepted: 09/08/2020] [Indexed: 12/23/2022] Open
Abstract
Background We aimed to distinguish the preoperative radiological indicators to predict the application of assistant techniques during intubation for patients undergoing selective cervical surgery. Methods A total of 104 patients were enrolled in this study. According to whether intubation was successfully accomplished by simple Macintosh laryngoscopy, patients were divided into Macintosh laryngoscopy group (n = 78) and Assistant technique group (n = 26). We measured patients’ radiographical data via their preoperative X-ray and MRI images, and compared the differences between two groups. Binary logistic regression model was applied to distinguish the meaningful predictors. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to describe the discrimination ability of indicators. The highest Youden’s index corresponded to an optimal cut-off value. Results Ten variables exhibited significant statistical differences between two groups (P < 0.05). Based on logistic regression model, four further showed correlation with the application of assistant techniques, namely, perpendicular distance from hard palate to tip of upper incisor (X2), atlanto-occipital gap (X9), angle between a line passing through posterior-superior point of hard palate and the lowest point of the occipital bone and a line passing through the anterior-inferior point and the posterior-inferior point of the second cervical vertebral body (Angle E), and distance from skin to hyoid bone (MRI 7). Angle E owned the largest AUC (0.929), and its optimal cut-off value was 19.9° (sensitivity = 88.5%, specificity = 91.0%). the optimal cut-off value, sensitivity and specificity of other three variables were X2 (30.1 mm, 76.9, 76.9%), MRI7 (16.3 mm, 69.2, 87.2%), and X9 (7.3 mm, 73.1, 56.4%). Conclusions Four radiological variables possessed potential ability to predict the application of assistant intubation techniques. Anaesthesiologists are recommended to apply assistant techniques more positively once encountering the mentioned cut-off values.
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Affiliation(s)
- Bingchuan Liu
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China.,Beijing Key Laboratory of Spinal Disease Research, Beijing, China
| | - Yanan Song
- Department of Anesthesiology, Peking University Third Hospital, 49 North Garden Rd, Haidian District, Beijing, 100191, China
| | - Kaixi Liu
- Department of Anesthesiology, Peking University Third Hospital, 49 North Garden Rd, Haidian District, Beijing, 100191, China
| | - Fang Zhou
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China.,Beijing Key Laboratory of Spinal Disease Research, Beijing, China
| | - Hongquan Ji
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China.,Beijing Key Laboratory of Spinal Disease Research, Beijing, China
| | - Yun Tian
- Department of Orthopaedics, Peking University Third Hospital, Beijing, China. .,Beijing Key Laboratory of Spinal Disease Research, Beijing, China.
| | - Yong Zheng Han
- Department of Anesthesiology, Peking University Third Hospital, 49 North Garden Rd, Haidian District, Beijing, 100191, China.
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