Dataset Information

Racial Disparities in Surgical Treatment of Obstructive Sleep Apnea.

ABSTRACT:

Objective

Determine risk factors for failure to receive surgical treatment among patients with obstructive sleep apnea.

Study design

Population-based observational longitudinal cohort study.

Setting

Population-based database.

Methods

Multivariate analysis of 500,792 individuals with obstructive sleep apnea from Optum's deidentified Clinformatics Data Mart database (2004-2018).

Results

Black race, increased age, diabetes, atrial fibrillation, obesity, and congestive heart failure were independently associated with a decreased rate of surgery for obstructive sleep apnea. Asian race, hypertension, arrhythmias other than atrial fibrillation, pulmonary disease, and liver disease were independently associated with an increased rate of surgery for obstructive sleep apnea.

Conclusion

Racial disparities in health outcomes related to health care access and in economic resources have an enormous impact on public health and social equity. We found differences in rates of surgery for obstructive sleep apnea based on race. These data are consistent with others demonstrating disparities in medical treatment of sleep apnea with positive pressure and underline a need for a change in awareness and treatment in these populations.

SUBMITTER: Cohen SM

PROVIDER: S-EPMC8935572 | biostudies-literature | 2022 Jan-Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Racial Disparities in Surgical Treatment of Obstructive Sleep Apnea.

Cohen Samuel M SM Howard Javier J M JJM Jin Michael C MC Qian Jason J Capasso Robson R

OTO open 20220101 1

<h4>Objective</h4>Determine risk factors for failure to receive surgical treatment among patients with obstructive sleep apnea.<h4>Study design</h4>Population-based observational longitudinal cohort study.<h4>Setting</h4>Population-based database.<h4>Methods</h4>Multivariate analysis of 500,792 individuals with obstructive sleep apnea from Optum's deidentified Clinformatics Data Mart database (2004-2018).<h4>Results</h4>Black race, increased age, diabetes, atrial fibrillation, obesity, and conge ...[more]

PMID: 35321423

Similar Datasets

Project description:STUDY OBJECTIVES:To test whether the integration of both anatomical and nonanatomical parameters (ventilatory control, arousal threshold, muscle responsiveness) in a physiology-based model will improve the ability to predict outcomes after upper airway surgery for obstructive sleep apnea (OSA). METHODS:In 31 patients who underwent upper airway surgery for OSA, loop gain and arousal threshold were calculated from preoperative polysomnography (PSG). Three models were compared: (1) a multiple regression based on an extensive list of PSG parameters alone; (2) a multivariate regression using PSG parameters plus PSG-derived estimates of loop gain, arousal threshold, and other trait surrogates; (3) a physiological model incorporating selected variables as surrogates of anatomical and nonanatomical traits important for OSA pathogenesis. RESULTS:Although preoperative loop gain was positively correlated with postoperative apnea-hypopnea index (AHI) (P = .008) and arousal threshold was negatively correlated (P = .011), in both model 1 and 2, the only significant variable was preoperative AHI, which explained 42% of the variance in postoperative AHI. In contrast, the physiological model (model 3), which included AHIREM (anatomy term), fraction of events that were hypopnea (arousal term), the ratio of AHIREM and AHINREM (muscle responsiveness term), loop gain, and central/mixed apnea index (control of breathing terms), was able to explain 61% of the variance in postoperative AHI. CONCLUSIONS:Although loop gain and arousal threshold are associated with residual AHI after surgery, only preoperative AHI was predictive using multivariate regression modeling. Instead, incorporating selected surrogates of physiological traits on the basis of OSA pathophysiology created a model that has more association with actual residual AHI. COMMENTARY:A commentary on this article appears in this issue on page 1023. CLINICAL TRIAL REGISTRATION:ClinicalTrials.Gov; Title: The Impact of Sleep Apnea Treatment on Physiology Traits in Chinese Patients With Obstructive Sleep Apnea; Identifier: NCT02696629; URL: https://clinicaltrials.gov/show/NCT02696629.

Dataset Information

Racial Disparities in Surgical Treatment of Obstructive Sleep Apnea.

Objective

Study design

Setting

Methods

Results

Conclusion

Publications

Racial Disparities in Surgical Treatment of Obstructive Sleep Apnea.

Similar Datasets

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