Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/134379
Author(s): Joana Sofia Pereira de Magalhães Ferreira
Title: Assessment of sleep quality in patients with severe asthma
Issue Date: 2021-06-22
Abstract: Study objectives: The main objective of this study was to assess the sleep quality of patients with severe asthma. Additionally, we aimed to identify predictors of obstructive sleep apnea (OSA) in severe asthmatic patients, as well as evaluate the prevalence of OSA in patients with severe asthma. Methods: 57 patients with severe asthma were enrolled in this observational study. Pre-determined variables were collected through the database of each patient and a polysomnography was performed in 32 of the selected patients. Mann-Whitney U, Kruskal Wallis and Multiple Regression Tests were conducted to address the study goals. Results: From the selected patients, 56.3% had sleep apnea, defined by an AHI > 5 in the polysomnography; mean sleep efficiency (%) was 81.37 ± 10.84, median REM sleep time was 11.60%, and the median time of deep sleep was 16.20%. The serum eosinophils levels showed to be statistically significant in predicting the AHI (p < 0.05): for each unit increase in the serum eosinophils there is a decrease in AHI of 0.062 events/h. The biologic therapy also showed to be statistically significant in predicting the AHI (p < 0.05): patients who undergo this therapy have 15.69 more events/h compared to those who do not. Conclusions: More than half of the patients with severe asthma were diagnosed with sleep apnea. This study showed that there are no reliable predictors for this diagnosis, indicating that a polysomnography evaluation should be considered in every severe asthmatic patient. Keywords: severe asthma, obstructive sleep apnea, sleep quality
Description: Através da consulta externa da Unidade de Sono e Ventilação não invasiva do CHSJ foram identificados 57 doentes com asma grave. Através da recolha de dados dos seus processos clínicos foram analisadas variáveis, tais como: IMC, carga tabágica, história de patologias respiratórias ou gastrointestinais, medicação habitual, resultados de provas funcionais respiratórias e de análises laboratoriais. Posteriormente, foi aplicada uma Polissonografia nível II/III, para avaliar parâmetros tais como o Índice de Apneia/Hipopneia, a saturação média de oxigénio durante o sono, o número de ciclos de sono, entre outros. Todos os dados recolhidos foram inseridos numa base de dados construída no programa IBM SPSS Statistics, onde foi feita a análise estatística pretendida.
Subject: Medicina clínica
Clinical medicine
Scientific areas: Ciências médicas e da saúde::Medicina clínica
Medical and Health sciences::Clinical medicine
DOI: 10.34626/8qrd-rm50
TID identifier: 202849104
URI: https://hdl.handle.net/10216/134379
Document Type: Dissertação
Rights: restrictedAccess
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections:FMUP - Dissertação

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