scholarly journals Accuracy of STOP-Bang Questionnaire in Predicting Difficult Mask Ventilation: An Observational Study

Cureus ◽  
2021 ◽  
Author(s):  
Marium N Khan ◽  
Aliya Ahmed
Keyword(s):  
Observational Study ◽  
Mask Ventilation ◽  
Difficult Mask Ventilation

Correlation of Neck Circumference with Difficult Mask Ventilation and Difficult Laryngoscopy in Morbidly Obese Patients: an Observational Study

2018 ◽  
Vol 28 (9) ◽  
pp. 2860-2867 ◽  
Author(s):  
Aylin Özdilek ◽  
Cigdem Akyol Beyoglu ◽  
Şafak Emre Erbabacan ◽  
Birsel Ekici ◽  
Fatiş Altındaş ◽  
...  
Keyword(s):  
Observational Study ◽  
Neck Circumference ◽  
Difficult Laryngoscopy ◽  
Morbidly Obese ◽  
Obese Patients ◽  
Mask Ventilation ◽  
Difficult Mask Ventilation

scholarly journals Voice parameters for difficult mask ventilation evaluation: an observational study

2021 ◽  
Vol 0 (0) ◽  
pp. 1740-1740
Author(s):  
Shuang Cao ◽  
Ming Xia ◽  
Ren Zhou ◽  
Jie Wang ◽  
Chen-Yu Jin ◽  
...  
Keyword(s):  
Observational Study ◽  
Mask Ventilation ◽  
Difficult Mask Ventilation

Prediction of difficult mask ventilation

2005 ◽  
Vol 22 (8) ◽  
pp. 638-640 ◽  
Author(s):  
P. Gautam ◽  
T. K. Gaul ◽  
N. Luthra
Keyword(s):  
Mask Ventilation ◽  
Difficult Mask Ventilation

scholarly journals Utilization of apnea-hypopnea index as a novel predictive factor for difficult mask ventilation in the Chinese population under general anesthesia

2021 ◽  
Author(s):  
Jiayi Wang ◽  
Jingjie Li ◽  
Pengcheng Zhao ◽  
Xuan Pu ◽  
Rong Hu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Elective Surgery ◽  
Chinese Patients ◽  
Apnea Hypopnea Index ◽  
Mask Ventilation ◽  
Clinical Predictors ◽  
Clinical Trial Registry ◽  
Difficult Mask Ventilation ◽  
Obstructive Sleep ◽  
Threatening Situation

Abstract Purpose Difficult mask ventilation (DMV) is a potentially life-threatening situation that can arise during anesthesia. However, most clinical predictors of DMV are based on European and US populations. On the other hand, most predictive models consist of multiple factors and complicated assessments. Since obstructive sleep apnea (OSA) is among the most important risk factors associated with DMV, the apnea-hypopnea index (AHI) may play an important role in determining patient risk.The purpose of this study was to investigate the relationship between DMV and AHI, and to determine preoperative risk factors for DMV in Chinese patients. Methods A prospective cohort trial enrolled patients scheduled for elective surgery. After obtaining informed consent, patient demographic information was collected, and patients were tested with pre-operative polysomnography. The anesthesiologist who managed the airway graded the mask ventilation. The difficult mask ventilation was defined as the mask ventilation provided by an unassisted anesthesiologist without oral airway or other adjuvant. A logistic regression model was used to analyze the association between AHI and DMV. Results A total of 159 patients were analyzed. For both primary and secondary outcomes, the unadjusted and adjusted odds ratio for DMV showed significant increases by 5 AHI units. AHI, age, and the Mallampati classification were found to be independent predictive factors for DMV. Conclusions AHI is associated with DMV as a novel independent risk factor in Chinese patients. Along with age and Mallampati classification, AHI should be included in establishing a superior predictive strategy for DMV screening. Trial registration Chinese Clinical Trial Registry ChiCTR-DDD-17013076

scholarly journals Effectiveness and Safety of a Novel Approach for Management of Patients with Potential Difficult Mask Ventilation and Tracheal Intubation

2018 ◽  
Vol 131 (6) ◽  
pp. 631-637 ◽  
Author(s):  
Ji-Ming Wang ◽  
Er-Li Ma ◽  
Qing-Ping Wu ◽  
Ming Tian ◽  
Yan-Yan Sun ◽  
...  
Keyword(s):  
Tracheal Intubation ◽  
Mask Ventilation ◽  
Difficult Mask Ventilation ◽  
Novel Approach

scholarly journals Utilization of apnea-hypopnea index as a novel predictive factor for difficult mask ventilation in the Chinese population under general anesthesia

2020 ◽  
Author(s):  
Jia-Yi Wang ◽  
Jing-Jie Li ◽  
Peng-Cheng Zhao ◽  
Jia-Li Peng ◽  
Rong Hu ◽  
...  
Keyword(s):  
Risk Factors ◽  
General Anesthesia ◽  
Elective Surgery ◽  
Chinese Patients ◽  
Apnea Hypopnea Index ◽  
Mask Ventilation ◽  
Clinical Trial Registry ◽  
Difficult Mask Ventilation ◽  
Physical Status Classification ◽  
Obstructive Sleep

Abstract Background: Difficult Mask Ventilation (DMV) is a potentially life-threatening situation that can arise during anesthesia. Accordingly, the majority of current airway management guidelines include risk assessments for DMV. Although Obstructive Sleep Apnea (OSA) is among the most important risk factors associated with DMV, other measurements such as the Apnea-Hypopnea Index (AHI) may play an important role in determining patient risk.This study investigated the relationship between DMV and AHI, and determined preoperative risk factors for DMV in Chinese patients.Methods: A prospective cohort trial enrolled patients scheduled for elective surgery. After obtaining informed consent, patient demographic information was collected, and patients were tested with pre-operative polysomnography. Inclusion criteria: Patients >18 years of age, American Society of Anesthesiologists Physical Status Classification (ASA) I-III, and planned elective surgery with general anesthesia. Exclusion criteria: malformations of the airway, patients undergoing regional anesthesia, and patients with contraindications to mask ventilation (i.e. planned awake intubation). A logistic regression model was used to analyze the association between AHI and DMV. Results: A total of 159 patients were analyzed. For both primary and secondary outcomes, the unadjusted and adjusted odds ratio for DMV showed significant increases of 5 AHI units. AHI, age, and the Mallampati classification were found to be independent predictive factors for DMV.Conclusions AHI is associated with DMV as a novel independent risk factor in Chinese patients. Along with age and Mallampati classification, AHI should be included in establishing a superior predictive strategy DMV screening.Trial registration: Chinese Clinical Trial Registry (Registration number # ChiCTR17013076; Date of Registration on October 22nd, 2017).

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