NYMC Faculty Publications

Title

Clinical Associations Between Allergies and Rapid Eye Movement Sleep Disturbances

First Page

817

Last Page

824

Document Type

Article

Publication Date

July 2018

Department

Otolaryngology

Abstract

BACKGROUND: Allergic rhinitis, an immunoglobulin E inflammatory condition including nasal congestion, obstruction, sneezing, pruritus, and fatigue symptoms, has significant impact on quality of life and impairs sleep. Sleep-disordered breathing (SDB) patients often have normal all-night apnea-hypopnea (AHI) or respiratory-disturbance (RDI) indices on polysomnography (PSG). We hypothesized that the rapid eye motion-respiratory disturbance index (REM-RDI) may be a novel predictor of allergic status. METHODS: A retrospective analysis of 100 patients compared REM-RDI results in 67 allergen-positive patients with 33 nonallergic patients who presented with nasal blockage. Subjects completed STOP-Bang(c), 22-item Sino-Nasal Outcome Test (SNOT-22)(c), and Epworth Sleepiness Scale(c) questionnaires and underwent skin-prick testing (SPT) and PSGs including REM-RDI values. Using multivariate logistic regression models, we evaluated relationships between allergic status and sleep parameters while controlling for possible confounders including body mass index (BMI). RESULTS: Using REM-RDI as the outcome of interest, allergen-positive patients were 3.92 times more likely to have REM-RDI values in a moderate/severe range (>/=15 events/hour); and patients with moderate/severe REM-RDI values were more likely to be allergen positive (p<0.05). Allergic status was not significantly related to all-night AHI, RDI, or REM-AHI. BMI was not significantly related to REM-RDI. STOP-Bang(c) was related to allergy status (p = 0.02) and REM-RDI (p<0.01). Allergic patients had increased REM latency and less total amount of REM. CONCLUSION: We revealed significant bidirectional associations between allergen positivity and increased REM-RDI values independent of BMI, AHI, RDI, and REM-AHI. Allergic inflammation and REM-RDI data may play important roles in diagnosing and treating fatigued SDB patients and as objective perioperative safety and outcomes measures.

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