Relationship between alpha-1 antitrypsin deficiency and obstructive sleep apnea.

PURPOSE: This study aimed to identify if individuals with mild to severe alpha-1 antitrypsin deficiency (AATD) are at higher risk for developing obstructive sleep apnea (OSA) than the general population. METHODS: A seven-question sleep apnea risk assessment questionnaire, STOP-BAG, was applied to 2338 participant responses from the Alpha-1 Coded Testing Study (ACT) and 4638 participant responses from the Kentucky Behavioral Risk Factor Survey (KyBRFS). Propensity scores were generated from a logistic regression model using continuous variables of age and body mass index (BMI). STOP-BAG scores were analyzed using chi-square analysis on this matched cohort to assess OSA risk in AATD. RESULTS: Self-reported OSA was higher in the KyBRFS cohort (14.5%) than in individuals with mild or severe AATD (11.2%) (p = 0.012). However, a higher percentage of the AATD cohort met clinically meaningful thresholds for STOP-BAG scores ≥ 5 (22.7%) than the KyBRFS cohort (13.0%) (p = 0.001). These differences persisted despite 1:1 propensity score matching on age and BMI to account for differences in baseline characteristics. No statistically significant difference in OSA risk between AATD genotypes was found. CONCLUSION: AATD appears to have higher risk for OSA than the general population. The 11.2% prevalence of diagnosed OSA in the AATD population is much lower than symptom scores would predict. Further studies are needed to validate the possibility that elastin loss is involved in OSA pathogenesis.

A population-based estimate of the health care burden of obstructive sleep apnea using a STOP-BAG questionnaire in South Carolina.

STUDY OBJECTIVES: Population based estimates of obstructive sleep apnea (OSA) frequency and health impact are incomplete. The aim of this study was to determine the prevalence of risk factors for physician and sleep study diagnosed OSA among individuals in a state-based surveillance program. METHODS: Using questions inserted into the 2016 (n = 5,564) and 2017 (n = 10,884) South Carolina Behavioral Risk Factor Surveillance System of the Centers for Disease Control and Prevention, we analyzed the prevalence of physician diagnosed OSA and associated comorbidities. The validated STOP-BANG questionnaire without neck circumference (STOP-BAG) defined populations at moderate risk (score 3-4) and high risk (score 5-7). Statistical analysis using weighted prevalence and means and their 95% confidence intervals (CI) thus reflect population estimates of disease burden. RESULTS: The population-based prevalence of physician diagnosed OSA in South Carolina was 9.7% (95% CI: 9.0-10.4). However, the populations with moderate risk (18.5%, 95% CI: 17.3-19.8) and high risk (25.5%, 95% CI: 23.9-27.1) for OSA, as determined by the STOP-BAG questionnaire, were much higher. Compared to those at low risk for OSA, those at high risk were more often diagnosed with coronary heart disease, stroke, asthma, skin cancer, other cancers, chronic obstructive pulmonary disease, arthritis, depression, kidney disease, and diabetes (all P < .001). CONCLUSIONS: OSA is common and strongly associated with major comorbidities. As such, this public health crisis warrants more diagnostic and therapeutic attention. The STOP-BAG questionnaire provides a public health platform to monitor this disease.