Obstructive Sleep Apnea and Pain Intensity in Young Adults.

Rationale: Prior research studies on the association of obstructive sleep apnea (OSA) and pain intensity have examined older patients; there is a need to understand the relationship between OSA and pain intensity among younger adults.Objectives: To examine whether young adults with diagnosed OSA are more likely to report higher pain intensity compared with those without OSA.Methods: We conducted a cross-sectional analysis of a cohort study of Operation Enduring Freedom, Operation Iraqi Freedom, and Operation New Dawn veterans who had at least one visit to a Veterans Health Administration primary care clinic between 2001 and 2014. OSA was identified using one inpatient or two outpatient International Classification of Diseases, Ninth Revision codes from electronic medical records. Average pain intensity (based on the self-reported 0-10 numeric rating scale over a 12-month period) was categorized as no pain/mild (0-3; no pain) and moderate/severe (4-10; significant pain). Covariates included age, sex, education, race, mental health diagnoses, headache diagnoses, pain diagnoses, hypertension, diabetes, body mass index, and smoking status. Multivariate logistic regression models were used, and multiple imputation was performed to generate values for missing variables.Results: We identified 858,226 young adults (mean age 30 yr [SD = 7]), of whom 91,244 (10.6%) had a diagnosis of OSA and 238,587 (27.8%) reported moderate/severe pain for the 12-month average. with young adults without OSA, those with OSA were more likely to report moderate/severe pain intensity (adjusted odds ratio, 1.09; 95% confidence interval, 1.08-1.11) even after controlling for covariates.Conclusions: We found that young adults with OSA have greater odds of comorbid moderate/severe pain. Because of the high prevalence of chronic pain in younger adults, this study highlights the need to understand the impact of OSA diagnosis and treatment on pain intensity. Future work is needed to determine the role of effective OSA treatment on pain intensity over time in these young adults.

Varying Hypopnea Definitions Affect Obstructive Sleep Apnea Severity Classification and Association With Cardiovascular Disease.

STUDY OBJECTIVES: To compare clinical features and cardiovascular risks in patients with obstructive sleep apnea (OSA) based on ≥ 3% desaturation or arousal, and ≥ 4% desaturation hypopnea criteria. METHODS: This is a cross-sectional analysis of 1,400 veterans who underwent polysomnography for suspected sleep-disordered breathing. Hypopneas were scored using ≥ 4% desaturation criteria per the American Academy of Sleep Medicine (AASM) 2007 guidelines, then re-scored using ≥ 3% desaturation or arousal criteria per AASM 2012 guidelines. The effect on OSA disease categorization by these two different definitions were compared and correlated with symptoms and cardiovascular associations using unadjusted and adjusted logistic regression. RESULTS: The application of the ≥ 3% desaturation or arousal definition of hypopnea captured an additional 175 OSA diagnoses (12.5%). This newly diagnosed OSA group (OSAnew) was symptomatic with daytime sleepiness similarly to those in whom OSA had been diagnosed based on ≥ 4% desaturation criteria (OSA4%). The OSAnew group was more obese and more likely to be male than those without OSA based on either criterion (No-OSA). However, the OSAnew group was younger, less obese, more likely female, and had a lesser smoking history compared to the OSA4% group. Those with any severity of OSA4% had an increased adjusted odds ratio for arrhythmias (odds ratio = 1.95 [95% confidence interval 1.37-2.78], P = .0155). The more inclusive hypopnea definition (ie, ≥ 3% desaturation or arousal) resulted in recategorization of OSA diagnosis and severity, and attenuated the increased odds ratio for arrhythmias observed in mild and moderate OSA4%. However, severe OSA based on ≥ 3% desaturation or arousals (OSA3%/Ar) remained a significant risk factor for arrhythmias. OSA based on any definition was not associated with ischemic heart disease or heart failure. CONCLUSIONS: The most current AASM criteria for hypopnea identify a unique group of patients who are sleepy, but who are not at increased risk for cardiovascular disease. Though the different hypopnea definitions result in recategorization of OSA severity, severe disease whether defined by ≥ 3% desaturation/arousals or ≥ 4% desaturation remains predictive of cardiac arrhythmias. COMMENTARY: A commentary on this article appears in this issue on page 1971.

The Determining Risk of Vascular Events by Apnea Monitoring (DREAM) study: design, rationale, and methods.

PURPOSE: The goal of the Determining Risk of Vascular Events by Apnea Monitoring (DREAM) study is to develop a prognostic model for cardiovascular outcomes, based on physiologic variables-related to breathing, sleep architecture, and oxygenation-measured during polysomnography in US veterans. METHODS: The DREAM study is a multi-site, retrospective observational cohort study conducted at three Veterans Affairs (VA) centers (West Haven, CT; Indianapolis, IN; Cleveland, OH). Veterans undergoing polysomnography between January 1, 2000 and December 31, 2004 were included based on referral for evaluation of sleep-disordered breathing, documented history and physical prior to sleep testing, and ≥2-h sleep monitoring. Demographic, anthropomorphic, medical, medication, and social history factors were recorded. Measures to determine sleep apnea, sleep architecture, and oxygenation were recorded from polysomnography. VA Patient Treatment File, VA-Medicare Data, Vista Computerized Patient Record System, and VA Vital Status File were reviewed on dates subsequent to polysomnography, ranging from 0.06 to 8.8 years (5.5 ± 1.3 years; mean ± SD). RESULTS: The study population includes 1840 predominantly male, middle-aged veterans. As designed, the main primary outcome is the composite endpoint of acute coronary syndrome, stroke, transient ischemic attack, or death. Secondary outcomes include incidents of neoplasm, congestive heart failure, cardiac arrhythmia, diabetes, depression, and post-traumatic stress disorder. Laboratory outcomes include measures of glycemic control, cholesterol, and kidney function. (Actual results are pending.) CONCLUSIONS: This manuscript provides the rationale for the inclusion of veterans in a study to determine the association between physiologic sleep measures and cardiovascular outcomes and specifically the development of a corresponding outcome-based prognostic model.