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Objective To describe the cost benefit of 4 different approaches to screening for sleep apnea in a cohort of participants with moderate to severe traumatic brain injury (TBI) receiving inpatient rehabilitation from the payor’s perspective. Design A cost-benefit analysis of phased approaches to sleep apnea diagnosis. Setting Six TBI Model System Inpatient Rehabilitation Centers. Participants Trial data from participants (N=214) were used in analyses (mean age 44±18y, 82% male, 75% white, with primarily motor vehicle–related injury [44%] and falls [33%] with a sample mean emergency department Glasgow Coma Scale of 8±5). Intervention Not applicable. Main Outcome Cost benefit. Results At apnea-hypopnea index (AHI) ≥15 (34%), phased modeling approaches using screening measures (Snoring, Tired, Observed, Blood Pressure, Body Mass Index, Age, Neck Circumference, and Gender [STOPBANG] [–$5291], Multivariable Apnea Prediction Index MAPI [–$5262]) resulted in greater cost savings and benefit relative to the portable diagnostic approach (–$5210) and initial use of laboratory-quality polysomnography (–$5,011). Analyses at AHI≥5 (70%) revealed the initial use of portable testing (–$6323) relative to the screening models (MAPI [–$6250], STOPBANG [–$6237) and initial assessment with polysomnography (–$5977) resulted in greater savings and cost-effectiveness. Conclusions The high rates of sleep apnea after TBI highlight the importance of accurate diagnosis and treatment of this comorbid disorder. However, financial and practical barriers exist to obtaining an earlier diagnosis during inpatient rehabilitation hospitalization. Diagnostic cost savings are demonstrated across all phased approaches and OSA severity levels with the most cost-beneficial approach varying by incidence of OSA.

Objective The purpose of this study was to describe incidence and assess predictors of adherence to Positive Airway Pressure (PAP) therapy for Obstructive Sleep Apnea (OSA) in persons with acquired brain injury (ABI). Methods A 2012–2015 retrospective analysis of consecutive ABI patients admitted for neurorehabilitation, referred for polysomnography (PSG), and prescribed PAP for OSA. Univariable linear regressions were conducted to examine predictors of average hours of nightly PAP use. Univariable logistic regressions were conducted to examine predictors of PAP adherence using the conventional clinical definition of ≥4 h per night ≥70% of the time. Persons with traumatic etiology were separately analyzed. Results ABI etiology was 51% traumatic, 36% stroke, and 13% other nontraumatic causes. Nearly two-thirds were nonadherent to PAP. For the overall sample, higher average nightly PAP usage was significantly predicted by positive hypertension diagnosis (β = 0.271, p = 0.019). Likewise, greater adherence based on the conventional cutoff was predicted by poorer motor functioning at hospital admission (OR = 0.98, p = 0.001) and lower oxygen saturation nadir (OR = 0.99, p = 0.003). For those with traumatic injuries, greater adherence was predicted by poorer functional status at hospital admission (OR = 0.98, p = 0.010) and positive hypertension diagnosis (OR = 0.16, p = 0.023). Conclusions In this study of hospitalized neurorehabilitation patients with ABI and comorbid OSA, predictors of adherence included lower oxygen saturation, poorer functional status and hypertension diagnosis, perhaps signifying the role of greater severity of illness on treatment adherence. High rates of refusal and nonadherence to frontline PAP therapy for sleep apnea is a concern for persons in recovery form ABI who are at a time of critical neural repair.

Objective To determine the diagnostic sensitivity and specificity and comparative effectiveness of traditional sleep apnea screening tools in traumatic brain injury (TBI) neurorehabilitation admissions. Design Prospective diagnostic comparative effectiveness trial of sleep apnea screening tools relative to the criterion standard, attended level 1 polysomnography including encephalography. Setting Six TBI Model System Inpatient Rehabilitation Centers. Participants Between May 2017 and February 2019, 449 of 896 screened were eligible for the trial with 345 consented (77% consented). Additional screening left 263 eligible for and completing polysomnography with final analyses completed on 248. Intervention Not applicable. Main Outcome Measures Area under the curve (AUC) of screening tools relative to total apnea hypopnea index≥15 (AHI, moderate to severe apnea) measured at a median of 47 days post-TBI (interquartile range, 29-47). Results The Berlin high-risk score (receiving operating curve [ROC] AUC=0.634) was inferior to the Multivariable Apnea Prediction Index (MAPI) (ROC AUC=0.780) (P=.0211; CI, 0.018-0.223) and Snoring, Tired, Observed, Blood Pressure, Body Mass Index, Age, Neck Circumference, and Gender (STOPBANG) score (ROC AUC=0.785) (P=.001; CI, 0.063-0.230), both of which had comparable AUC (P=.7245; CI, −0.047 to 0.068). Findings were similar for AHI≥30 (severe apnea); however, no differences across scales was observed at AHI≥5. The pattern was similar across TBI severity subgroups except for posttraumatic amnesia (PTA) status wherein the MAPI outperformed the Berlin. Youden's index to determine risk yielded lower sensitivities but higher specificities relative to non-TBI samples. Conclusion This study is the first to provide clinicians with data to support a choice for which sleep apnea screening tools are more effective during inpatient rehabilitation for TBI (STOPBANG, MAPI vs Berlin) to help reduce comorbidity and possibly improve neurologic outcome.

To assess the reversibility of symptoms of depression using continuous positive airway pressure (CPAP) in patients with obstructive sleep apnea (OSA).Patients referred to our center for evaluation of OSA who had a respiratory disturbance index (RDI)or = 15 and who demonstrated a significant response to CPAP (or = 50% drop in RDI) were evaluated for the symptoms of depression using the Beck Depression Inventory (BDI), and then reassessed after 4 to 6 weeks of treatment with CPAP at home.In this group of patients, the institution of CPAP therapy resulted in a significant (p0.0001) decrease in those symptoms of depression as assessed by the BDI (BDI at baseline, 4.1 +/- 3.7; BDI after CPAP, 1.0 +/- 2.0). This change in BDI was noted both in those individuals who had received an antidepressant prescription prior to referral, and in those who had not. An analysis of variance failed to reveal any effect on these data related to gender or baseline RDI.Patients with OSA may present to their primary care physician with symptoms suggesting a diagnosis of depression. In some of these individuals, the symptoms of depression may be ameliorated with CPAP.