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Redeker NS, Conley S, Hwang Y. Sleep Deficiency: A Symptoms Perspective: Exemplars from Chronic Heart Failure, Inflammatory Bowel Disease, and Breast Cancer. Clin Chest Med 2022; 43:217-228. [PMID: 35659020 PMCID: PMC9178708 DOI: 10.1016/j.ccm.2022.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Sleep deficiency is associated with disabling daytime symptoms, including excessive daytime sleepiness (EDS) and fatigue. The purpose of this article is to discuss the contributions of sleep deficiency and sleep disorders to fatigue and EDS among people with chronic conditions. We use exemplars from the literature on chronic heart failure, inflammatory bowel disease, and breast cancer to (1) describe the prevalence of fatigue and EDS and their consequences; (2) examine the evidence for the contributions of sleep deficiency and sleep disorders to these symptoms; and (3) recommend implications for future research and practice.
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Affiliation(s)
- Nancy S Redeker
- UCONN School of Nursing, Yale University, University of Connecticut School of Nursing, 231 Glenbrook Road, Unit 4026, Storrs, CT 06269-4026, USA.
| | - Samantha Conley
- Nursing Research Division, Department of Nursing, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Youri Hwang
- Yale School of Nursing, PO Box 27399, West Haven, CT 06516-0972, USA
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Le Grande MR, Jackson AC, Beauchamp A, Kerr D, Driscoll A. Diagnostic accuracy and suitability of instruments that screen for obstructive sleep apnoea, insomnia and sleep quality in cardiac patients: a meta-analysis. Sleep Med 2021; 86:135-160. [PMID: 33674192 DOI: 10.1016/j.sleep.2021.02.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 01/29/2021] [Accepted: 02/08/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND A number of clinical guidelines recommend that all cardiac rehabilitation patients should be screened for potential sleep disorders with a validated screening instrument. There is currently no consensus on what specific tools should be used. OBJECTIVE To identify tools that are practical to use in the clinical environment and have high diagnostic accuracy. METHODS We systematically searched online databases to identify patient reported outcome instruments that have been used in published research studies to assess the likelihood of obstructive sleep apnoea (OSA) in cardiac patients. In studies that provided diagnostic data, these data were extracted and verified via an evidence-based diagnostic calculator. Where sufficient numbers of studies were available, a meta-analysis was conducted to determine pooled estimates of specificity, sensitivity and diagnostic odds ratios. Selected papers were qualitatively assessed using the Standards for Reporting Diagnostic accuracy studies (STARD). RESULTS Of the 21 instruments identified, six detected likelihood of OSA, two assessed daytime sleepiness, five assessed insomnia and eight examined sleep quality. A meta-analysis of 14 studies that assessed diagnostic accuracy of moderate OSA, revealed moderate sensitivity for the Berlin Questionnaire, Sens = 0.49 (95% CI 0.45-0.52) and good sensitivity for the Stop-BANG, Sens = 0.93 (95% CI 0.87-0.96) but poor specificity at standard cut-off criteria. CONCLUSION There are promising practical tools available to screen patients with OSA and other sleep disorders in cardiac rehabilitation settings, but specificity could be improved. Additional assessment of sleep quality may enhance prognostic ability with both OSA and insomnia screening.
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Affiliation(s)
- Michael R Le Grande
- Australian Centre for Heart Health, 75 Chetwynd Street, North Melbourne, VIC, 3051, Australia; Faculty of Health, Deakin University, Burwood, VIC, 3216, Australia; Melbourne Centre for Behaviour Change, School of Psychological Sciences, The University of Melbourne, Parkville, VIC, 3052, Australia.
| | - Alun C Jackson
- Australian Centre for Heart Health, 75 Chetwynd Street, North Melbourne, VIC, 3051, Australia; Faculty of Health, Deakin University, Burwood, VIC, 3216, Australia; Centre on Behavioural Health, Hong Kong University, Pakfulam, Hong Kong
| | - Alison Beauchamp
- Australian Centre for Heart Health, 75 Chetwynd Street, North Melbourne, VIC, 3051, Australia; Department of Medicine - Western Health, The University of Melbourne, VIC, 3052, Australia; Australian Institute for Musculoskeletal Science (AIMSS), St. Albans, VIC, 3021, Australia; School of Rural Health, Monash University, Newborough, VIC, 3825, Australia
| | - Debra Kerr
- Faculty of Health, Deakin University, Burwood, VIC, 3216, Australia
| | - Andrea Driscoll
- Faculty of Health, Deakin University, Burwood, VIC, 3216, Australia; Centre for Quality and Patient Safety Research, School of Nursing and Midwifery, Deakin University, Geelong, VIC, 3220, Australia
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McPhillips MV, Li J, Hodgson NA, Cacchione PZ, Dickson VV, Gooneratne NS, Riegel B. Daytime sleepiness and napping in nursing-home eligible community dwelling older adults: A mixed methods study. Gerontol Geriatr Med 2020; 6:2333721420970730. [PMID: 35059470 PMCID: PMC8764400 DOI: 10.1177/2333721420970730] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 10/09/2020] [Accepted: 10/13/2020] [Indexed: 01/18/2023] Open
Abstract
Objectives To describe perceptions and beliefs about daytime sleepiness and napping along with subjective and objective daytime sleep characteristics in nursing-home eligible community dwelling older adults. Methods A mixed methods study; we conducted semi-structured interviews and measured sleep variables via Actigraphy, sleep diary, and Epworth Sleepiness Scale (ESS). Napping was defined as >10 minutes; anything less was considered dozing. Results Final sample (n = 40) was primarily female (85%), Black (100%), with a mean age of 72 ± 9.5 years. Few (25%) reported daytime sleepiness (ESS >10). However, average duration of napping per day was 33.1 ± 11.5 minutes with a nap frequency of 2.5 ± 1.5 naps. Conclusion Our sample napped frequently throughout the day, yet the majority reported no daytime sleepiness. These older adults did not always recognize napping or how much they napped.
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Affiliation(s)
| | - Junxin Li
- Johns Hopkins University, Baltimore, MD, USA
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Pak VM, Strouss L, Yaggi HK, Redeker NS, Mohsenin V, Riegel B. Mechanisms of reduced sleepiness symptoms in heart failure and obstructive sleep apnea. J Sleep Res 2018; 28:e12778. [PMID: 30421541 DOI: 10.1111/jsr.12778] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 08/27/2018] [Accepted: 09/10/2018] [Indexed: 11/29/2022]
Abstract
Patients with both heart failure and obstructive sleep apnea often have poor, repeatedly disrupted sleep, and yet they frequently do not complain of excessive daytime sleepiness. Understanding this lack of perceived sleepiness is crucial for the case identification and treatment of obstructive sleep apnea in the heart failure population at high risk of this disease, especially given the association between untreated obstructive sleep apnea and mortality among patients with heart failure. In this review, we present epidemiologic evidence concerning the lack of sleepiness symptoms in heart failure and obstructive sleep apnea, explore possible mechanistic explanations for this relationship, assess the benefits of treatment in this population, discuss implications for clinical practice and explore directions for future research.
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Affiliation(s)
- Victoria M Pak
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.,Department of Biobehavioral Research Collaborative, School of Nursing, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA.,Yale School of Nursing, West Haven, Connecticut, USA.,Emory Nell Hodgson School of Nursing, Atlanta, Georgia, USA
| | - Lisa Strouss
- Jefferson Medical Center, Philadelphia, Pennsylvania, USA
| | - Henry K Yaggi
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | | | - Vahid Mohsenin
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Barbara Riegel
- Department of Biobehavioral Research Collaborative, School of Nursing, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA
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