1. Validation of a novel sleep-quality questionnaire to assess sleep in the coronary care unit: a polysomnography study.
- Author
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Storti LJ, Servantes DM, Borges M, Bittencourt L, Maroja FU, Poyares D, Burke PR, Santos VB, Moreira RS, Mancuso FJ, de Paola AA, Tufik S, Carvalho AC, and Cintra FD
- Subjects
- Acute Coronary Syndrome complications, Acute Coronary Syndrome therapy, Female, Humans, Male, Middle Aged, Polysomnography, Reproducibility of Results, Sleep, Sleep Wake Disorders etiology, Sleep, REM, Surveys and Questionnaires standards, Coronary Care Units, Sleep Wake Disorders diagnosis
- Abstract
Introduction: The sleep of patients admitted to coronary care unit (CCU) may be compromised. A feasible and cost-effective tool to evaluate sleep in this scenario could provide important data. The aim of this study was to evaluate sleep with a questionnaire developed specifically for the CCU and to validate it with polysomnography (PSG)., Methods: Ninety-nine patients (68% male; 56 ± 10 years old) with acute coronary syndrome were included. PSG was performed within 36 h of admission. A specific 18-question questionnaire (CCU questionnaire) was developed and applied after the PSG. Cronbach's alpha test was used to validate the questionnaire. The Spearman test was used to analyze the correlation between the PSG variables and the questionnaire, and the Kruskal-Wallis test was used to compare the PSG variables among patients with good, regular, or poor sleep., Results: The total sleep time was 265 ± 81 min, sleep efficiency 62 ± 18%, REM sleep 10 ± 7%, apnea/hypopnea index 15 ± 23, and the arousal index 24 ± 15. Cronbach's alpha test was 0.69. The CCU questionnaire showed correlation with the sleep efficiency evaluated by PSG (r: 0.52; p < 0.001). Sleep quality was divided into three categories according to the CCU questionnaire: patients with good sleep had a sleep efficiency of 72 ± 9%, better than those with a regular or poor sleep (60 ± 16% and 53 ± 20%, respectively; p < 0.01)., Conclusion: The CCU questionnaire is a feasible and reliable tool to evaluate sleep in the CCU, showing correlation with the PSG sleep efficiency., (Copyright © 2015 Elsevier B.V. All rights reserved.)
- Published
- 2015
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