Faculty Opinions recommendation of Daytime loop gain is elevated in obstructive sleep apnea but not reduced by CPAP treatment.

Author(s):  
Jerome Dempsey
2013 ◽  
Vol 17 (5) ◽  
pp. 341-347 ◽  
Author(s):  
Wytske A. Kylstra ◽  
Justine A. Aaronson ◽  
Winni F. Hofman ◽  
Ben A. Schmand

SLEEP ◽  
2009 ◽  
Vol 32 (10) ◽  
pp. 1257-1263 ◽  
Author(s):  
Nihal Akar Bayram ◽  
Bülent Ciftci ◽  
Telat Keles ◽  
Tahir Durmaz ◽  
Sibel Turhan ◽  
...  

SLEEP ◽  
2017 ◽  
Vol 40 (suppl_1) ◽  
pp. A302-A302
Author(s):  
E Libman ◽  
S Bailes ◽  
C Fichten ◽  
D Rizzo ◽  
L Creti ◽  
...  

2020 ◽  
Author(s):  
Kelly A. Loffler ◽  
Emma Heeley ◽  
Ruth Freed ◽  
Rosie Meng ◽  
Lia R. Bittencourt ◽  
...  

Objective: Despite evidence of a relationship between obstructive sleep apnea (OSA), metabolic dysregulation and diabetes mellitus (DM), it is uncertain whether OSA treatment can improve metabolic parameters. We sought to determine effects of long-term continuous positive airway pressure (CPAP) treatment on glycemic control and DM risk in patients with cardiovascular disease (CVD) and OSA. <strong>Research Design and Methods: </strong>Blood, medical history, and personal data were collected in a <strong>substudy of 888 participants in the </strong>Sleep Apnea Cardiovascular Endpoints (SAVE) trial in which patients with OSA and stable CVD were r<strong>andomized</strong> to receive CPAP plus Usual Care, or Usual Care alone. Serum glucose and glycated hemoglobin A<sub>1c</sub> (HbA<sub>1c</sub>) were measured at baseline, and six months, two- and four years, and incident diabetes diagnoses recorded. Results: Median follow-up was 4.3 years. In those with pre-existing DM (n=274), there was no significant difference between CPAP and Usual Care groups in serum glucose, HbA<sub>1c</sub> or anti-diabetic medications during follow-up. There were also no significant between-group differences in participants with pre-diabetes (n=452), nor in new diagnoses of DM. Interaction testing suggested that women with diabetes did poorly in the Usual Care group while their counterparts on CPAP therapy remained stable. <strong>Conclusions</strong><b>:</b> Among patients with established CVD and OSA, we found no evidence that CPAP therapy over several years affected glycemic control in those with diabetes or pre-diabetes, or DM risk over standard of care treatment. The potential differential effect according to sex deserves further investigation.


2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A6-A7
Author(s):  
E Brooker ◽  
L Thomson ◽  
S Landry ◽  
B Edwards ◽  
S Drummond

Abstract Obstructive sleep apnea (OSA) and Insomnia are prevalent sleep disorders which are highly comorbid. This frequent co-occurrence suggests a shared etiology may exist. OSA is caused by the interaction of four pathophysiological traits: a highly collapsible upper airway, elevated loop gain, a low arousal threshold, and poor muscle compensation. No study has ascertained whether these traits are influenced by insomnia. We aimed to quantify the four traits which contribute to OSA in individuals diagnosed with comorbid insomnia and OSA (COMISA). We non-invasively determined these traits in 52 COMISA patients (Age: 56±14 years) with mild-to-severe OSA (AHI=21.2±10.63 events/h) using polysomnography. Our results indicated that 83% of COMISA patients had a low arousal threshold and only 2% of patients exhibited a highly collapsible airway using previously defined thresholds. Multiple linear regression revealed the arousal threshold (b=0.24, 95%CI[0.11, 0.37], β=0.47, p&lt;0.001) and loop gain (b=23.6, 95%CI[7.02, 40.18], β=0.33, p&lt;0.01) were the strongest predictors of OSA severity in our sample. There was no significant relationship between the arousal threshold and insomnia severity measured by the insomnia severity index (ISI). Further work is being performed to compare these findings with a matched sample of OSA only participants. Our preliminary findings demonstrate OSA in COMISA is characterized by a mildly collapsible airway/low arousal threshold phenotype and is largely driven by non-anatomical factors including a low arousal threshold and high loop gain. OSA treatments which are effective in patients with mild anatomical compromise and raise the arousal threshold may provide therapeutic benefit in COMISA patients.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A270-A270
Author(s):  
C I Cabrera ◽  
B Szelestey ◽  
K Strohl ◽  
A Schell

Abstract Introduction Obstructive sleep apnea (OSA) is a chronic condition that requires appropriate treatment strategies to optimize outcomes while minimizing risk. In addition to anatomy, physiologic factors such as arousal threshold and loop gain (i.e. “endotypes”) play a known role in the disease process. Because loop gain tends to be higher and arousal threshold lower in NREM sleep, we hypothesize that patients with NREM-predominance may achieve less success with anatomical therapy such as upper airway stimulation (UAS). Our study aims to evaluate baseline characteristics and objective results related to NREM-predominance in patients treated with UAS. Methods Using data from the STAR trial, we identified patients (n=103) with at least 20 minutes of REM on baseline testing and complete demographic and disease data at baseline and month 18. Baseline NREM-predominant disease (percent NREM events &gt; 50) was defined as a binary variable. We created two cohorts: 1) patients with REM-predominant disease and 2) those with NREM-predominant disease. ODI and AHI were evaluated at month 18. Results Overall 62% (n=64) of patients had NREM-predominant disease at baseline. Other baseline characteristics were similar between both groups. In univariate analysis, age was significantly associated with lower AHI in the NREM-predominant population (p&lt;0.05) but not in the REM-predominant group (p&gt;0.05). Results were similar for ODI. For both groups, increasing age was correlated negatively with increasing AHI; this correlation was stronger in the NREM-predominant group Conclusion A majority of patients in the STAR trial had NREM-predominant OSA at baseline. There appears to be an interaction between NREM-predominance and age as predictors of UAS outcomes. Support  


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