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AbstractStudy ObjectivesThis study assessed changes in sleep quality before and after the peak of the SARS-CoV-2 pandemic in community dwellers enrolled in the Atahualpa Project.MethodsAtahualpa residents aged ≥40 years were eligible if they had a Pittsburgh Sleep Quality Index (PSQI) 9 months before the pandemic and a lateral flow-based test for identification of SARS-CoV-2 antibodies during the peak of the pandemic. Six months later, individuals completed a follow-up PSQI. The independent relationship between SARS-CoV-2 infection and deterioration in sleep quality was assessed by fitting logistic mixed models for longitudinal data.ResultsOf 639 participants (mean age at baseline: 59 ± 12.8 years), 325 (51%) had SARS-CoV-2 antibodies. A total of 185 (29%) individuals at baseline and 311 (49%) at follow-up were poor sleepers (p < 0.001). Mixed logistic regression models demonstrated a significant increase in poor sleepers at follow-up (odds ratio [OR]: 2.85; 95% CI: 2.16 to 3.75), which was more marked among SARS-CoV-2 seropositive subjects (OR: 3.8; 95% CI: 2.48 to 5.81). The adjusted proportion of poor sleepers increased from 29% to 56.2% (95% CI: 50.9% to 61.6%) among SARS-CoV-2 seropositive individuals, but only to 40.7% (95% CI: 35.3% to 46.1%) in their seronegative counterparts (p < 0.001). Likewise, progression from a good to a poor sleeper status was higher among seropositive individuals than in their seronegative counterparts (38.1% vs 22.3%; p < 0.001), after adjusting for relevant covariates.ConclusionsThis study shows a deleterious effect of SARS-CoV-2 in sleep quality. An effect of SARS-CoV-2 in disrupting sleep-related pathways cannot be ruled out.Trial registrationThe Atahualpa Project has been registered at ClinicalTrials.gov; the identifier number is NCT01627600, and the date was: 10/02/2012 (https://clinicaltrials.gov/ct2/show/NCT01627600?cond=Atahualpa&draw=2&rank=1). The Sleep Disorders substudy has been registered at ClinicalTrials.gov; the identifier number is NCT01877616, and the date was: 06/13/2013 (https://clinicaltrials.gov/ct2/show/NCT01877616?cond=Atahualpa&draw=2&rank=4).

Background Inability to encircle the neck by hands (neck grasp) has been proposed as an indicator of obstructive sleep apnea (OSA) that would be useful for recognition of candidates for polysomnography (PSG). We assessed the value of neck grasp for predicting OSA in community-dwelling older adults of Amerindian ancestry. Methods Neck grasp was evaluated in individuals aged ≥60 years undergoing PSG. The association between neck grasp and OSA was assessed by logistic regression models adjusted for relevant covariates. Mediation analysis was used to establish the proportion of the effect of the association between neck grasp and OSA, which is mediated by the neck circumference (a well-known OSA biomarker). Receiver operator characteristics curve analysis was used to estimate diagnostic accuracy of neck grasp for predicting OSA. Results Of 201 individuals undergoing PSG, 167 (83%) had the neck grasp test. The remaining 34 could not perform the test because of different factors. Neck grasp was positive in 127 (76%) cases, and 114 (68%) individuals had OSA (apnea-hypopnea index ≥5). Multivariate logistic regression models disclosed a significant association between neck grasp and OSA. The neck circumference was the single covariate remaining independently significant in these models. Neck grasp was not efficient at predicting OSA (sensitivity: 83.3%, specificity: 39.6%, positive predictive value: 0.75 and negative predictive value: 0.53). The area under the curve disclosed only a moderate predictive capability (61.5%) of neck grasp. Conclusion Results do not support the use of neck grasp as an independent predictor of OSA in the study population.

Abstract Introduction Obstructive sleep apnea(OSA) is a common diagnosis associated with immediate and long-term health consequences. Due to increasing awareness, the demand for treatment with CPAP is increasing. However, CPAP compliance remains a problem, and may be improved by initial patient education targeted at common CPAP problems Methods A 10 min video depicting common CPAP related problems was created in the Mayo Clinic Florida Simulation Center using standardized patients. Newly diagnosed patients with OSA requiring CPAP were randomized into two arms: (i) the intervention arm was shown the video and received standard of care; or (ii) in the “placebo” or standard of care alone. Our standard of care includes a review of the sleep study, discussion of diagnosis and recommendation for CPAP therapy along with Mayo OSA information packet, followed by compliance visit at 3 months. Compliance is defined as >4 hours of CPAP use per night gathered from machine’s SD card. The two groups were compared for statistically significant difference in compliance at 3 months. Results 47 patients diagnosed between 10/2018-5/2019 were included in the study(21:intervention, 26:placebo). 7 (33%) and 7 (26%) patients in the intervention and the placebo came back for follow up visit (p=0.63). Among them, median CPAP usage was 362.5 min (236.0, 480.0) in intervention arm vs 351.0 min (125.0, 466.0) in placebo group and the difference was not significant. Average nightly use of >than 4 hours was 12(57.1%) in the intervention group and 17(65.4%) in placebo group. Conclusion In this group addition of an educational video to standard of care did not show benefit in CPAP compliance. There was a tendency toward greater median nightly usage. Patients receiving the video had a higher likelihood of making their follow up appointment which is pivotal, as it provides an opportunity for further intervention and enhancement of adherence. Support Mayo Clinic Jacksonville

Abstract Introduction Evidence of the relationship between periodic limb movements during sleep (PLMS) and cerebral small vessel disease (cSVD) is limited and inconsistent. Here, we aimed to assess the independent association between PLMS and the different neuroimaging signatures of cSVD. Methods Community dwelling adults aged ≥60 years enrolled in the Atahualpa Project undergoing PSG and MRI with time intervals ≤6 months were included. MRI readings focused on white matter hyperintensities (WMH) of presumed vascular origin, deep cerebral microbleeds (CMB), silent lacunar infarcts (LI), and >10 enlarged basal ganglia-perivascular spaces (BG-PVS). Data from single-night polysomnograms were interpreted according to recommendations of the American Academy of Sleep Medicine. Associations between the PLMS index and neuroimaging signatures of cSVD (as dependent variables) were assessed by means of logistic regression models, adjusted for relevant confounders. Results A total of 146 individuals (mean age: 71.4 ± 7.5 years; 64% women) were included. A PLMS index ≥15/hour were noted in 48 (33%) participants. Moderate-to-severe WMH were present in 33 individuals (23%), deep CMB in 9 (6%), silent LI in 16 (11%), and >10 BG-PVS in 44 (30%). In univariate analyses, silent LI (p=0.035) and the presence of >10 enlarged BG-PVS (p=0.034) were significantly higher among participants with a PLMS index ≥15/hour. However, fully-adjusted multivariate models showed no significant association between PLMS index ≥15/hour and any of the neuroimaging signatures of cSVD. Conclusion This study shows no independent association between the PLMS index and neuroimaging signatures of cSVD in stroke-free community-dwelling older adults. Support This study was supported by Universidad Espíritu Santo - Ecuador.

Background and Purpose— The apnea-hypopnea index (AHI) is associated with cerebral small vessel disease (cSVD), but pathogenesis of this association is elusive. We aimed to assess the effect of nighttime heart rate variability (HRV)—as a proxy of sympathetic upregulation—on the aforementioned association. Methods— Atahualpa residents aged ≥60 years undergoing brain magnetic resonance imaging, polysomnography, and 24-hour Holter monitoring (N=176) were included. The presence of moderate-to-severe white matter hyperintensities, deep cerebral microbleeds, lacunar infarcts, and >10 enlarged basal ganglia perivascular spaces were added for estimating the cSVD score. Interaction models were fitted to assess the effect modification of nighttime HRV in the association between the AHI and the cSVD score, and mediation analysis was utilized to assess the proportion of total effect by nighttime HRV on this association. Results— Generalized linear models showed a significant association between the AHI and the cSVD score ( P =0.025), as well as a significant inverse association between nighttime HRV and the cSVD score ( P =0.002), but no association between daytime HRV and the cSVD score ( P =0.097). Interaction models showed a significant interaction of nighttime HRV on the association between AHI and the cSVD score ( P =0.001), and mediation analysis found that the percent of total effect between AHI and cSVD score mediated by HRV was 30.8%. Predictive marginal means of the cSVD score were highly significant when the 10th percentile of nighttime HRV was compared across categories of 10th and 90th percentiles of the AHI (cSVD score margins, 0.61 [95% CI, 0.37–0.86] versus 1.67 [95% CI, 1.26–2.09]). Contour plots showed the effect of nighttime (but not daytime) HRV on the association between AHI and the cSVD score. Conclusions— This study shows an important effect of nighttime HRV on the association between the AHI and the cSVD score and provides further support for the role of sympathetic overactivity on this association.