Publications by authors named "Raghu Upender"

Adipokines are a growing group of secreted proteins that play important roles in obesity, sleep disturbance, and metabolic derangements. Due to the complex interplay between adipokines, sleep, and metabolic regulation, an integrated approach is required to better understand the significance of adipokines in these processes. In the present study, we created and analyzed a network of six adipokines and their molecular partners involved in sleep disturbance and metabolic dysregulation.

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Adipokines are a growing group of peptide or protein hormones that play important roles in whole body metabolism and metabolic diseases. Sleep is an integral component of energy metabolism, and sleep disturbance has been implicated in a wide range of metabolic disorders. Accumulating evidence suggests that adipokines may play a role in mediating the close association between sleep disorders and systemic metabolic derangements.

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Introduction: Obstructive sleep apnea (OSA) is a common condition in the United States that is strongly linked to metabolic disease, cardiovascular disease, and increased mortality. Uninsured populations experience sleep health disparities, including delayed recognition, diagnosis, and treatment of OSA due to barriers accessing and affording care. Partnerships between primary care clinics and sleep medicine specialists for sleep apnea management have the potential to increase screening, testing, and treatment among underserved populations.

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Yuen K, Strang AR, Flynn-Evans EE, et al. Child and teen sleep and pandemic-era school. 2021;17(4):613–615.

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Telehealth has proliferated since the 1950s, but adoption and coverage of telehealth services for the U.S. public have been slow.

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The last several years have seen intense debate about the issue of transitioning between standard and daylight saving time. In the United States, the annual advance to daylight saving time in spring, and fall back to standard time in autumn, is required by law (although some exceptions are allowed under the statute). An abundance of accumulated evidence indicates that the acute transition from standard time to daylight saving time incurs significant public health and safety risks, including increased risk of adverse cardiovascular events, mood disorders, and motor vehicle crashes.

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Physician burnout is a serious and growing threat to the medical profession and may undermine efforts to maintain a sufficient physician workforce to care for the growing and aging patient population in the United States. Burnout involves a host of complex underlying associations and potential for risk. While prevalence is unknown, recent estimates of physician burnout are quite high, approaching 50% or more, with midcareer physicians at highest risk.

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The occurrence of physician burnout is widespread among clinicians and academic faculty, who report indicators such as low quality of life and poor work-life balance. Chronic insufficient sleep, whether due to extended work hours, circadian misalignment, or unrecognized sleep disorders, is a critically important risk factor for burnout that is overlooked and under-studied, and interventions to promote healthy sleep may reduce burnout susceptibility among attending physicians. While strategies to reduce burnout among resident and attending physicians have been under-evaluated, evidence suggests a need to address burnout at both individual and organizational levels.

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Although sleep loss increases state anxiety, the effects of partial sleep restriction on specific anxiety symptoms and mechanisms that may influence this relation remain unknown. It is also unknown whether prior sleep buffers the impact of sleep restriction on anxiety symptoms. Thus, the present study examined the relations between inhibition and repetitive negative thinking (RNT), obsessions, and other OCD symptoms following sleep restriction and the moderating role of prior night's sleep efficiency.

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Article Synopsis
  • The study highlights the potential of automated polysomnography (PSG) scoring using deep learning to reduce labor costs and variability in human scoring.
  • A deep learning classifier was trained on a large dataset of PSG recordings, analyzing data through spectrograms created from brain and muscle activity.
  • The results showed that the deep learning model significantly outperformed human scorers, achieving high accuracy metrics and suggesting that fully automated PSG scoring could be feasible in the future.
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Purpose: P wave characteristics change during simulated apneic events in individuals with atrial fibrillation (AF). This study sought to assess whether similar changes occur during nocturnal respiratory events in patients with AF and obstructive sleep apnea (OSA).

Methods: Thirty-five individuals with severe OSA who underwent formal polysomnography and subsequent AF ablation were compared to a matched group without AF.

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Sleep-disordered breathing (SDB) is a contributor to atrial fibrillation (AF) and treatment of obstructive sleep apnea can reduce the recurrence of AF following catheter ablation. However, the effect of AF therapies on measures of SDB severity is less robustly described. We present the case of a middle-aged man with SDB and persistent AF who exhibited improvement in SDB metrics, as characterized by data downloaded from his auto-titrating continuous positive airway pressure (AutoCPAP) machine, very shortly following procedures that restored sinus rhythm.

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Previous research has linked sleep disturbance to anxiety. However, evidence for this relation has been inconsistent, largely limited to retrospective reports that do not account for daily variability, and silent on when the association is most pronounced. Thus, the present study utilized ecological momentary assessment (EMA) to examine the effects of daily deviations in total sleep time (TST) and person-average TST on anxiety and whether these effects varied as a function of time of day in a sample of unselected adults (N = 138).

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Obstructive sleep apnea (OSA) and single nucleotide polymorphisms (SNPs) at the 4q25 locus are associated with increased risk of atrial fibrillation (AF). Whether these associations are independent of traditional risk factors for AF remains unknown. Using billing code queries and manual chart review, we assembled a cohort of adults that underwent overnight polysomnography and at least 1 12-lead electrocardiogram.

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Study Objectives: To assess a new measure of positive airway pressure (PAP) effectiveness, the , which accounts for sleep disordered breathing events during the time PAP is (PAP On) and is not (PAP Off) being used. A secondary aim was to test the accuracy of the Watch-PAT 200 (WP) portable monitor for measurement of the Effective AHI.

Methods: A prospective two-center cohort study design was used to evaluate patients who had been prescribed PAP therapy for ≥ 2 months.

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Study Objectives: To examine the impact of genotype on the relationship between obstructive sleep apnea (OSA) and anti-arrhythmic drug (AAD) efficacy in atrial fibrillation (AF).

Design: Registry based.

Setting: Clinic-based.

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Diabetes mellitus is a major health concern that is only expected to become more prevalent over the next few decades. It causes much morbidity and mortality through various macro- and microvascular complications, including diabetic neuropathy. Currently, there is no treatment that directly affects the natural course of diabetic neuropathy except for rigorous glycemic control, a goal that is not always achievable.

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