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Kim JH, Han SW, Hwang SM, Lee JJ, Kwon YS. Machine Learning Predictions and Identifying Key Predictors for Safer Intubation: A Study on Video Laryngoscopy Views. J Pers Med 2024; 14:902. [PMID: 39338156 PMCID: PMC11433239 DOI: 10.3390/jpm14090902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 08/13/2024] [Accepted: 08/24/2024] [Indexed: 09/30/2024] Open
Abstract
This study develops a predictive model for video laryngoscopic views using advanced machine learning techniques, aiming to enhance airway management's efficiency and safety. A total of 212 participants were involved, with 169 in the training set and 43 in the test set. We assessed outcomes using the percentage of glottic opening (POGO) score and considered factors like the modified Mallampati classification, thyromental height and distance, sternomental distance, mouth opening distance, and neck circumference. A range of machine learning algorithms was employed for data analysis, including Random Forest, Light Gradient Boosting Machine, K-Nearest Neighbors, Support Vector Regression, Ridge Regression, and Lasso Regression. The models' performance was evaluated on the test set, with Root Mean Squared Error values ranging from 20.4 to 21.9. SHapley Additive exPlanations value analysis revealed that age is a consistent and significant predictor of POGO score across all models, highlighting its critical role in the predictive accuracy of these techniques.
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Affiliation(s)
- Jong-Ho Kim
- Department of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea
- Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea
| | - Sung-Woo Han
- Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea
| | - Sung-Mi Hwang
- Department of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea
| | - Jae-Jun Lee
- Department of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea
- Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea
| | - Young-Suk Kwon
- Department of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea
- Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea
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Bennett S, Alkhouri H, Badge H, Long E, Chan T, Vassiliadis J, Fogg T. Bed tilt and ramp positions are associated with increased first-pass success of adult endotracheal intubation in the emergency department: A registry study. Emerg Med Australas 2023; 35:983-990. [PMID: 37429648 DOI: 10.1111/1742-6723.14276] [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: 11/10/2022] [Revised: 06/01/2023] [Accepted: 06/19/2023] [Indexed: 07/12/2023]
Abstract
OBJECTIVE Successful endotracheal intubation in the ED requires optimum body positioning. In patients with obesity, the ramp position was suggested to achieve better intubating conditions. However, limited data are available on the airway management practices for patients with obesity in Australasian EDs. The aim of this study was to identify current patient positioning practices during endotracheal intubation and its association with first-pass success (FPS) at intubation and adverse event (AE) rates in obese and non-obese populations. METHODS Prospectively collected data from the Australia and New Zealand ED Airway Registry (ANZEDAR) between 2012 and 2019 were analysed. Patients were categorised into two groups according to their weight: <100 kg (non-obese) or ≥100 kg (obese). Four position categories were investigated; supine, pillow or occipital pad, bed tilt and ramp or head-up with relation to FPS and complication rate using logistic regression modelling. RESULTS A total of 3708 intubations from 43 EDs were included. Overall, the non-obese cohort had a greater FPS rate (85.9%) compared to the obese group (77.0%). The bed tilt position had the highest FPS rate (87.2%), whereas the supine position had the lowest (83.0%). AE rates were highest in the ramp position (31.2%) compared to all other positions (23.8%). Regression analysis showed ramp, or bed tilt positions and a consultant-level intubator were associated with higher FPS. Obesity, in addition to other factors, was independently associated with lower FPS. CONCLUSION Obesity was associated with lower FPS, which could be improved through performing a bed tilt or ramp positioning.
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Affiliation(s)
- Samantha Bennett
- Faculty of Medicine, The University of Notre Dame Australia, Sydney, New South Wales, Australia
- Sydney Children's Hospital, Sydney, New South Wales, Australia
| | - Hatem Alkhouri
- Emergency Care Institute, Agency for Clinical Innovation, Sydney, New South Wales, Australia
- Faculty of Medicine, The University of New South Wales, Sydney, New South Wales, Australia
| | - Helen Badge
- School of Allied Health, Faculty of Health Science, Australian Catholic University, Sydney, New South Wales, Australia
| | - Elliot Long
- The Royal Children's Hospital, Murdoch Children's Research Institute, The University of Melbourne, Melbourne, Victoria, Australia
| | - Trevor Chan
- Emergency Care Institute, Agency for Clinical Innovation, Sydney, New South Wales, Australia
- Emergency Department, St George Hospital, Sydney, New South Wales, Australia
| | - John Vassiliadis
- Emergency Department, Royal North Shore Hospital, Sydney, New South Wales, Australia
- Discipline of Emergency Medicine, Northern Clinical School, The University of Sydney Medical School, Sydney, New South Wales, Australia
| | - Toby Fogg
- Emergency Department, Royal North Shore Hospital, Sydney, New South Wales, Australia
- CareFlight, Sydney, New South Wales, Australia
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Mohammad Shehata I, Elhassan A, Zaman B, Viswanath O. Challenge of Lung Isolation in Patients with Vocal Cord Implants. Anesth Pain Med 2022; 12:e123370. [PMID: 35433377 PMCID: PMC8995872 DOI: 10.5812/aapm.123370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 02/20/2022] [Indexed: 12/05/2022] Open
Abstract
Glottic closure insufficiency increases the risk of aspiration and pneumonia, particularly in the elderly. Medialization thyroplasty is an open surgical procedure for treating glottic incompetency by approximating both vocal folds. The vocal fold medialization is achieved by inserting an implant to bring the nonmobile fold to the unaffected side. Lung isolation in patients with vocal cord implantation poses a unique challenge. Understanding the risks of different modalities of lung isolation and their impacts on the vocal cord implant is crucial to implementing a specifically tailored plan. Preoperative bronchoscopy, intraoperative video laryngoscopy, and bronchoscopy are ideal methods for assessing the vocal fold implants and guiding the lung isolation technique. Bronchial blocker through a single-lumen endotracheal tube may be the preferred choice to avoid the injury of the stretched vocal cords and dislodgement of the implant by a larger diameter double-lumen tube.
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Affiliation(s)
- Islam Mohammad Shehata
- Department of Anesthesiology, Ain Sham University, Cairo, Egypt
- Corresponding Author: Department of Anesthesiology, Ain Sham University, Cairo, Egypt.
| | - Amir Elhassan
- Community Memorial Hospital Center, Ventura, California, USA
| | - Behrooz Zaman
- Pain Research Center, Department of Anesthesiology and Pain Medicine, Iran University of Medical Sciences, Tehran, Iran
- Corresponding Author: Pain Research Center, Department of Anesthesiology and Pain Medicine, Iran University of Medical Sciences, Tehran, Iran.
| | - Omar Viswanath
- Department of Anesthesiology, Louisiana State University Health Shreveport, Shreveport, Los Angeles, USA
- Valley Anesthesiology and Pain Consultants, Envision Physician Services, Phoenix, Arizona, USA
- Department of Anesthesiology, University of Arizona College of Medicine, Phoenix, Arizona, USA
- Department of Anesthesiology, Creighton University School of Medicine, Omaha, Nebraska, USA
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