Does Difficult Mask Ventilation Predict Obstructive Sleep Apnea? A Prospective Pilot Study to Identify the Prevalence of OSA in Patients with Difficult Mask Ventilation Under General Anesthesia

The aim of this study was to determine the utility of respiratory resistance as a predictor of oral appliance (OA) response in obstructive sleep apnea (OSA). Twenty-seven patients with OSA (mean respiratory event index (REI): 17.5 ± 6.5 events/h) were recruited. At baseline, the respiratory resistance (R20) was measured by impulse oscillometry (IOS) with a fitted nasal mask in the supine position, and cephalometric radiographs were obtained to analyze the pharyngeal airway space (SPAS: superior posterior airway space, MAS: middle airway space, IAS: inferior airway space). The R20 and radiographs after the OA treatment were evaluated, and the changes from the baseline were analyzed. A sleep test with OA was carried out using a portable device. The subjects were divided into Responders and Non-responders based on an REI improvement ≥ 50% from the baseline, or REI < 5 after treatment, and the R20 reduction rate between the two groups were compared. The subjects comprised 20 responders and 7 non-responders. The R20 reduction rate with OA in responders was significantly greater than it was in non-responders (14.4 ± 7.9 % versus 2.4 ± 9.8 %, p < 0.05). In responders, SPAS, MAS, and IAS were significantly widened and R20 was significantly decreased with OA (p < 0.05). There was no significant difference in non-responders (p > 0.05). A logistic multiple regression analysis showed that the R20 reduction rate was predictive for OA treatment responses (2% incremental odds ratio (OR), 24.5; 95% CI, 21.5–28.0; p = 0.018). This pilot study confirmed that respiratory resistance may have significant clinical utility in predicting OA treatment responses.

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The Association of Obstructive Sleep Apnea in Ischemia with No Obstructive Coronary Artery Disease – A Pilot Study.

Current Problems in Cardiology ◽

10.1016/j.cpcardiol.2022.101111 ◽

2022 ◽

pp. 101111

Author(s):

Eng Lee Ooi ◽

Sharmalar Rajendran ◽

Dian Andina Munawar ◽

Khin Hnin ◽

Gnanadevan Mahadavan ◽

...

Keyword(s):

Coronary Artery Disease ◽

Obstructive Sleep Apnea ◽

Coronary Artery ◽

Sleep Apnea ◽

Pilot Study ◽

Obstructive Coronary Artery Disease ◽

Obstructive Sleep ◽

Artery Disease

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

10.21203/rs.3.rs-59557/v1 ◽

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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