scholarly journals Oxygen Desaturation Index calculation: impact of different methodologies

2021 ◽  
Author(s):  
Diego Munduruca Domingues ◽  
Filipe Vilela Soares ◽  
Geraldo Lorenzi-Filho ◽  
Henrique Takachi Moriya

Obstructive Sleep Apnea (OSA) is a syndrome characterized by episodes of airway obstruction, which causes oxygen desaturation events. These events can be identified by oximetry analysis and are used as one of the parameters to diagnose OSA. However, desaturation events have an inaccurate definition in manuals and in most of the literature. Thus, this work aims to evaluate whether different methodologies for the calculation of desaturation events impact the Oxygen Desaturation Index (ODI) and the diagnosis of OSA. The results indicated that the ODI values are significantly different from each other (p <0.001) and the methodologies provided variable performance for the diagnosis of OSA.

Author(s):  
Nur HA Rashid ◽  
Soroush Zaghi ◽  
Marcelo Scapuccin ◽  
Macario Camacho ◽  
Victor Certal ◽  
...  

2007 ◽  
Vol 43 (12) ◽  
pp. 649-654 ◽  
Author(s):  
Luis Torre-Bouscoulet ◽  
Armando Castorena-Maldonado ◽  
Rocío Baños-Flores ◽  
Juan Carlos Vázquez-García ◽  
María Sonia Meza-Vargas ◽  
...  

2021 ◽  
Vol 11 (6) ◽  
pp. 486
Author(s):  
Hai-Hua Chuang ◽  
Jen-Fu Hsu ◽  
Li-Pang Chuang ◽  
Cheng-Hsun Chiu ◽  
Yen-Lin Huang ◽  
...  

The tonsil microbiome is associated with chronic tonsillitis and obstructive sleep apnea (OSA) in children, and the gut microbiome is associated with host weight status. In this study, we hypothesized that weight status may be associated with clinical profiles and the tonsil microbiome in children with OSA. We prospectively enrolled 33 non-healthy-weight (cases) and 33 healthy-weight (controls) pediatric OSA patients matched by the proportion of chronic tonsillitis. Differences in the tonsil microbiome between the non-healthy-weight and healthy-weight subgroups and relationships between the tonsil microbiome and clinical variables were investigated. Non-healthy weight was associated with significant intermittent hypoxemia (oxygen desaturation index, mean blood saturation (SpO2), and minimal SpO2) and higher systolic blood pressure percentile, but was not related to the tonsil microbiome. However, chronic tonsillitis was related to Acidobacteria in the non-healthy-weight subgroup, and oxygen desaturation index was associated with Bacteroidetes in the healthy-weight subgroup. In post hoc analysis, the children with mean SpO2 ≤ 97% had reduced α and β diversities and a higher abundance of Bacteroidetes than those with mean SpO2 > 97%. These preliminary findings are novel and provide insights into future research to understand the pathogenesis of the disease and develop personalized treatments for pediatric OSA.


2019 ◽  
Vol 160 (5) ◽  
pp. 928-934
Author(s):  
Ji Ho Choi ◽  
Bora Lee ◽  
Se-Hwan Hwang

Objectives Respiratory mechanic instability (RMI) is derived from analysis of paradoxical thoracoabdominal movements during airway obstruction. This study aimed to evaluate RMI parameters in obstructive sleep apnea (OSA) and the correlation between RMI parameters and other parameters in polysomnography. Study Design Retrospective review. Setting A university hospital. Methods A retrospective chart review was performed, and data from 189 adult patients who underwent an in-laboratory sleep study and were seen in our clinic during the past 8 months. The RMI parameters were measured from thoracoabdominal bands during polysomnography. Results Subjects were divided into 2 groups: control (n = 67, apnea-hypopnea index [AHI] <5) and OSA (n = 122, AHI ≥5). The OSA group was divided into 3 subgroups according to AHI: mild, 5 ≤ AHI < 15; moderate, 15 ≤ AHI < 30; severe, AHI ≥30. As AHI increased, all RMI parameters showed a significant rising pattern and difference between control and subgroups. Arousal index, lowest oxygen saturation, and oxygen desaturation index ≥3% were significantly correlated with all RMI parameters. Based on cutoff values, areas under the curves of the RMI index for predicting mild, moderate, and severe OSA were >0.85. Conclusion All RMI parameters were well related to respiratory parameters of polysomnography, such as arousal index, lowest oxygen saturation, and oxygen desaturation index ≥3%. The areas under the curves of all RMI parameters for predicting OSA and subgroups showed significant diagnostic performance. These parameters may be useful to identify OSA cases from control.


2018 ◽  
Vol 23 (1) ◽  
pp. 57-63 ◽  
Author(s):  
Timon M. Fabius ◽  
Jeffrey R. Benistant ◽  
Lindsey Bekkedam ◽  
Job van der Palen ◽  
Frans H. C. de Jongh ◽  
...  

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