Literature DB >> 34394240

The relationship between sleep quality and dyspnoea severity in patients with COPD.

Emine Kaplan Serin1, Emine Derya Ister2, Ahmet Ozdemir2.   

Abstract

OBJECTIVES: This study aimed to determine sleep quality, frequency and severity of dyspnoea in COPD patients and to evaluate the relationship between dyspnoea severity and sleep quality.
METHOD: The sample of the study consisted of 110 patients admitted to the Chest Diseases polyclinic of a private hospital and diagnosed as COPD for at least one year. The data of the study were collected using the "Individual Information Form", "COPD and Asthma Sleep Scale (CASIS)" and "Medical Research Council (MRC) Dyspnoea Scale".
RESULTS: It was found that 6.4% of the patients did not experience dyspnoea, 34.5% had mild, 40.9% had moderate, and 18.2% had severe dyspnoea. The mean CASIS score of the patients without dyspnoea was 29.08±7.83, with mild dyspnoea was 40.22±9.30, with moderate dyspnoea was 50.31±8.97 and with severe dyspnoea was 56.96±13.13. There was a statistically significant difference between dyspnoea severity and mean CASIS score (p=0.001). Correlation analysis between MRC dyspnoea scale and CASIS score showed a significant positive correlation (r=0.61 p=0.001).
CONCLUSION: It was concluded that the majority of COPD patients had moderate or poor sleep quality and dyspnoea. As dyspnoea severity increases, sleep quality decreases.
© 2020 Serin EK et al.

Entities:  

Keywords:  COPD; Dyspnoea; Sleep

Mesh:

Year:  2020        PMID: 34394240      PMCID: PMC8351873          DOI: 10.4314/ahs.v20i4.32

Source DB:  PubMed          Journal:  Afr Health Sci        ISSN: 1680-6905            Impact factor:   0.927


Introduction

Chronic Obstructive Pulmonary Disease (COPD) is a progressive pulmonary disease characterized by irreversible airflow restriction, increased sputum production, and coughing, resulting in an abnormal inflammatory response of the lungs to certain particles and gases.1,2 Although COPD, which is one of the most important causes of death today, is largely preventable, it is difficult to treat after the onset of the disease and has a high financial burden.1,2 However, COPD patients experience many symptoms related to the disease. The most important and common symptoms of the patients are chronic and progressive dyspnoea, cough, sputum production and fatigue. Dyspnoea is the most critical symptom experienced by many COPD patients, characterized by air hunger, which lowers activity levels. Dyspnoea, which is the most common symptom in COPD, causes patients to experience intense fear, inadequacies in life activities, change in their priorities, increase in addictive states, fear of death, intense anxiety and depression. Dyspnoea also affects the sleep quality of the patients. Chang et al. (2016) reported that more than half of COPD patients had poor sleep quality and had problems waking up at night or early in the morning.3 Sleep quality of COPD patients is inferior in relation to respiratory problems.5,6 Disturbances in sleep patterns and respiratory changes due to the disease significantly affect the prognosis of the disease. Besides, insomnia caused by sputum production and cough is one of the common problems affecting daily living activities in COPD patients. Nocturnal symptoms and sleep disturbances are common in COPD in proportion to the severity of the disease.7 Sleep disorders seen in COPD occur in the form of insomnia, excessive sleep, changes in sleep patterns, and abnormal respiratory activity during sleep.8 COPD patients experience a range of disorders related to sleep and breathing, and respiratory sleep disorders associated with hypoxemia, resulting in reduced sleep quality.9 Sleep is one of the essential and fundamental requirements of human life. While changes in sleep order and quality affect daily life activities, prolongation of this change may cause deterioration in body and mental health. It is seen that patients with reduced sleep quality have difficulty in coping with the delaying and stressful situation during the healing process. Alteration of breathing during sleep includes physiological respiratory changes, which means pathological conditions, including deterioration in gas exchange.10 Although sleep disorders are common in COPD patients, these patients are vulnerable to increased gas exchange deviations wth sleep.6 While sleep oxygenation is insignificant in healthy adults, it may be severe and fatal in people with lung disease.3

Aim

The primary aim of this study was to determine the frequency and severity of dyspnoea, and sleep quality in COPD patients; its secondary aim is to evaluate the relationship between sleep quality and severity of dyspnoea.

Materials and methods

Research design

This research was conducted in descriptive and relationship-determining design.

Population-Sample

The sample of this study consisted of 110 patients who applied to the Chest Diseases Polyclinic of a private hospital between March 2017 and January 2018 and met the research criteria. The criteria for inclusion in the study were the diagnosis of COPD for at least one year and being 18 years of age or older.

Data collection tools

In the collection of data, individual information form prepared in accordance with the literature, breathlessness scale (MRC) and asthma and COPD sleep scale (CASIS) were used. Individual Information Form: This form consists of a total of 31 questions. The form includes questions about sociodemographic characteristics, disease and treatment, dyspnoea and sleep assessment. Medical Research Council (MRC) Dyspnoea Scale: This scale was first used by Fletcher to compare the severity of dyspnoea during the activity of people with and without lung disease.11 Later, the British Medical Research Council introduced this scale in a more developed form in order to monitor the natural history of the disease.12 MRC is a five-item scale based on various physical activities that produce a feeling of dyspnoea. Here, patients are asked to mark the level of activity that causes dyspnoea in themselves.13 The items of MRC; No Dyspnoea: No breathing difficulty when moving smoothly on a flat surface or a slight slope. Mild Dyspnoea: Breathing difficulty when moving fast on a flat surface or a slight slope. Moderate Dyspnoea: Walking slower than peers when walking on flat ground, pausing to breathe. Severe Dyspnoea: Giving a breathing break after walking up to 100 meters or a few minutes Very Severe Dyspnoea: Staying breathless while doing daily chores at home (wearing clothes, taking off or going to the toilet).

COPD and Asthma Sleep Impact Scale (CASIS)

CASIS was developed by Pokrzywinski et al. to demonstrate the effect of asthma and COPD on sleep. The items of the questions on a scale of 7 questions in total are Likert in the form of never, rarely, sometimes, often, very often. The first five items are scored straight; the sixth and seventh items are scored upside down. Total raw points are obtained by collecting all item points. The scale score is calculated with the formula given below. Scale Score = ×100 A high scale score indicates poor sleep quality and a low score indicates good sleep quality 14. The validity and reliability study of CASIS in Turkish was conducted by Ayhan and Kıyak, and CronbachAlfa was found to be 0.87.15 In this study, Cronbach Alpha value of CASIS was determined as 0.71.

Data collection

Data were collected between March 2017 and January 2018.

Analysis of data

SPSS 17 package program was used for data analysis. Descriptive (number, percentage, mean and standard deviation) and independent samples t-test, one-way ANOVA, Mann Whitney U test, Kruskal Wallis test and Pearson correlation analysis were used in the analysis of the data.

Ethical aspects of research

This research was conducted in accordance with the principles of the Declaration of Helsinki. Approval was obtained from the hospital where the study was conducted and from the Non-Interventional Research Ethics Committee of Fırat University (2017/15). After obtaining the necessary legal permissions, verbal and written approvals were obtained by explaining the aims of the study to the patients who agreed to participate in the study.

Results

It was determined that 54.5% of the patients were 61 years or older, 50.9% were women, 79.6% were married, 65.5% were literate, 79.1% were not working, and 86.4% had social security. 65.5% of the patients had a chronic non-COPD disease, only 17.3% had regular medical visits, 74.5% had been hospitalized at least once during the last year, 77.3% had used their medication regularly, 75.5% used nebulizer at home and 27.3% used oxygen tube at home. It was determined that 42.7% of the patients did not smoke, 29.1% continued to smoke, 28.2% quit smoking. 67.3% of the patients stated that they do not need any person to meet their care needs (Table 1).
Table 1

Some characteristics of patients

VariablesNumber (n)Percentage (%)
Age
<605045.5
61 and older6054.5

Gender
Female5650.9
Male5449.1

Marital status
Single2220.4
Married8679.6

Education level
Illiterate3531.8
Literate3935.5
Primary school1614.5
Highschool1110.0
University98.2

Working status
Yes2320.9
No8779.1

Financial situation
Income less than expense1816.4
Income equal to expense5247.3
Income higher than expense4036.4

Social security
Yes9586.4
No1513.6

Family structure
Nuclear family9081.8
Extended family2018.2

Duration of diagnosis of COPD
1–5 years ago5146.4
6–10 years ago2724.5
11–18 years ago3229.1

History of chronic disease other than COPD
Yes7164.5
No3935.5

Smoking
Yes3229.1
No4742.7
Quit3128.2

Getting education about the disease
Yes7366.4
No3733.6

Going to regular doctor check-up
Yes1917.3
No2119.1
Partly7063.6

History of hospitalisation in the last year
Never2825.5
1–2 times3733.6
3 and more4540.9

Caregiver
Do not need care7467.3
Need care but no caregiver87.3
Have a caregiver2825.5

Using medication regularly
Yes8577.3
No2522.7

Using a nebuliser at home
Yes8375.5
No2724.5

Using an oxygen tube at home
Yes3027.3
No8072.7
Some characteristics of patients It was determined that 93.6% of the patients had dyspnoea, and 34.5% of them had mild, 40.9% had moderate, and 18.2% had severe dyspnoea. Based on CASIS, 37.3% of the patients had poor sleep quality and 56.4% had moderate sleep quality. The rate of patients with good and very good sleep quality was determined as 6.3% (Table 2).
Table 2

Patients' dyspnoea severity based on MRC dyspnoea scale and sleep quality based on CASIS

N%
Dyspnoea Level
No Dyspnoea76.4
Mild Dyspnoea3834.5
Moderate Dyspnoea4540.9
Severe Dyspnoea2018.2

Sleep Quality
Very good (less than 19 points)32.7
Good (20–30 points)43.6
Moderate sleep quality (31–49 points)6256.4
Poor sleep quality (40–75)4137.3
Patients' dyspnoea severity based on MRC dyspnoea scale and sleep quality based on CASIS The comparison of the mean CASIS score of the patients with some variables is given in Table 3. Sleep quality was found to be lower in patients aged 61 years or older than patients aged 60 and under (p=0.001). There was no statistically significant difference between the mean CASIS scores of the patients according to gender, marital status, family structure, social security presence and smoking status (p>0.05). The difference between the mean CASIS scores according to the educational level of the patients was statistically significant (p=0.001). CASIS scores of high school and university graduates were lower than those of illiterate, literate and primary school graduates, and sleep quality was better.
Table 3

Comparison of mean CASIS score of patients with some variables

CASIS mean±sdStatistical Test p
Aget=-4.51
<60 41.28±10.82 p=0.001
61 and older51.19±10.95

Gender
Female47.32±13.6 t=0.54
Male46.03±11.13p=0.589

Marital statusU=893.00
Married46.88±11.15 p=0.684
Single43.99±15.60

Family structureU=724.500
Nuclear47.18±12.93 p=0.171
Extended44.46±9.86

Education level
Illiterate 52.14±10.40KW=22.299
Literate48.07±10.77p=0.001
Primary school 45.31±12.14
Highschool 35.06±12.03
University36.11±13.53

Working status
Yes 39.13±10.07U=508.00
No48.68±12.27p=0.001

Social security
Yes 46.16±12.49U=586.00
No50.00±11.92p=0.267

Financial situation
Income less than expense 44.24±10.18KW=6.09
Income equal to expense49.24±14.09 p=0.047
Income higher than expense 44.46±10.51

MRC
No Dyspnoea 29.08±7.83 KW=41.534
Mild Dyspnoea40.22±9.30p=0.001
Moderate Dyspnoea 50.31±8.97
Severe Dyspnoea56.96±13.13

History of hospitalisation in the last year
Never 38.01±13.15 F=19.80
1–2 times 44.59±8.44 p=0.001
3 and more53.80±10.72

Smoking history
Yes 43.75±13.57F=1.50
No47.11±13.04 p=0.226
Quit49.07±9.75

History of chronic disease other than COPD
Yes 50.60±11.70t=4.90
No39.56±10.50p=0.001

Getting support for careKW=20.215
Yes 53.57±12.17p=0.001
No (No need for care)42.7±10.47
No (Need care) 58.92±12.94
Comparison of mean CASIS score of patients with some variables The correlation analysis between the MRC dyspnoea scale and the CASIS score showed a significant positive correlation (r=0.61 p=0.001) (Table 4).
Table 4

The correlation analysis between the MRC dyspnoea scale and the CASIS

CASIS
MRC dyspnoea scalerp
Dyspnoea Level0.610.001
The correlation analysis between the MRC dyspnoea scale and the CASIS

Discussion

In this study conducted to determine the sleep quality and dyspnoea status of COPD patients and to determine the relationship between dyspnoea and sleep quality, it was identified that 93.6% of the patients had dyspnoea. According to the MRC dyspnoea scale, 34.5% of patients had mild, 40.9% moderate and 18.2% had severe dyspnoea. In their study (2012), Yorgancioğlu et al. sampled 321 COPD patients and found that 78.2% of patients had dyspnoea complaints.5 Miravitlles et al. (2009) reported mild dyspnoea in 46.7%, moderate in 24.9%, and severe dyspnoea in 15.6% of COPD patients followed in primary care.16 The results of our study and the literature were found to be consistent. In this study, it was found that 56.4% of the patients had moderate sleep quality, and 37.3% had poor sleep quality. Only 6.3% of patients have good and very good sleep quality. In a study conducted by Mohammad Ali Zohal et al. (2014) using Pittsburgh sleep quality index (PSQI) with 139 COPD patients in Iran, 74.8% of the patients were found to have poor sleep quality. In the same study, the rate of patients with good sleep quality was reported as 25.2%.17 In a study conducted by Akinci et al. (2017) with 51 moderate to severe COPD patients, it was reported that 94% of the patients with moderate and severe COPD patients had poor sleep quality measured by PSQI.18 In a study conducted by Steven M Scharf et al. (2011) in Israel, it was reported that 77.7% of the patients had poor sleep quality evaluated by PSQI.19 In the same study, it was reported that the sleep quality of the patients was related to the respiratory symptoms they experienced at night. In this study, only 6.4% of COPD patients do not have dyspnoea, whereas 93.6% experience mild to severe dyspnoea. In a study by Hynninen et al., it was reported that patients with increased COPD severity had more sleep problems, and night-time breathing problems, pain and psychological problems increased the complaints of insomnia.20 Omachi et al. reported that sleep disturbance was associated with cough symptoms, dyspnoea scale (breathlessness) and COPD severity in a study conducted with 98 COPD patients.21 In the present study, the mean CASIS score of patients 61 years and older was higher than that of patients younger than sixty years, and the difference between the two means was statistically significant (p=0.001). This finding shows that the sleep quality of COPD patients 61 years and older is worse. Kacaroğlu Vicdan (2018) reported that there was no difference between the sleep quality of 61 years and older patients and the sleep quality of 60 years and younger patients in a study conducted with 62 COPD patients using PSQI.22 In another study evaluating the sleep quality of COPD patients using PSQI, it was reported that sleep quality did not change according to age.18 This may be due to the assessment of sleep quality of patients with CASIS in our study. In our study, no statistically significant difference was found between the gender, marital status, family structure, presence of social security, smoking history and mean CASIS score (p>0.05). Karacaoğlu Vicdan (2018) showed that there was no difference between the gender, marital status and educational level of the patients and their mean CASIS score.22 However, in this study, a statistically significant difference was found between the educational level of the patients and the mean CASIS score (p=0.001). Sleep quality of the patients with low education level was found to be low. High school and university graduates have higher sleep quality as assessed by CASIS. There are numerous studies in the literature showing no correlation between smoking status and sleep quality in COPD patients.7,18,23 Similarly, in this study, the sleep quality of patients did not change according to smoking status. In the last year, a statistically significant difference was determined between hospitalization and non-COPD chronic disease history and mean CASIS score (p=0.001). In the study conducted by Dignani et al. (2016), the sleep quality of patients decreases as the stage of COPD increases. The same study reported a strong correlation between disease severity and sleep quality.24 In a study conducted by Hynninen et al., it was reported that patients with increased COPD severity had more sleep problems and more night-time breathing problems.20 Similarly, Omachi et al. reported that sleep disturbance in COPD patients is associated with COPD severity.21 According to the MRC dyspnoea scale, a statistically significant difference was found between dyspnea severity and mean CASIS score (p = 0.001). The average CASIS score of the patients without dyspnoea was lower than those with dyspnoea, and the higher the severity of dyspnoea, the higher the CASIS score. This finding shows that sleep quality decreases as the severity of dyspnoea increases. Also, according to the correlation analysis between MRC score and CASIS score, a strong positive correlation was found (r=0.61 p=0.001). Chang et al. (2016) found a positive correlation between MRC dyspnoea scale scores and poor sleep quality.3 Using actigraphy and PSQI, Nunes et al. (2013) found a statistically significant correlation between dyspnoea severity and sleep effectiveness (R=0.41), and total sleep duration (R=-0.46) in their study with COPD patients. In the same study, it was reported that MRC score is the best predictor of total sleep duration and sleep adequacy in COPD patients.25 Dignani et al. found a strong correlation between PSQI and MRC (r= .77). Omachi et al. reported that sleep disturbance is associated with dyspnoea severity in COPD patients.21 However, Akıncı et al. (2018) found no relationship between dyspnoea severity and sleep quality in COPD patients, while the authors stated that this might be due to the small sample size and low dyspnoea scores.18

Conclusion

In this research, the following conclusions were reached. Sleep quality of patients is generally low, The vast majority of patients have experienced dyspnoea, Age, educational level, working status, financial status, history of hospitalization in the last year, non-COPD chronic illness, getting support for care affect sleep quality, Gender, marital status, family structure, social security status, smoking history variables do not affect the sleep quality of the patients, There is a strong relationship between dyspnoea severity and sleep quality of patients.
  18 in total

Review 1.  Sleep disorders in COPD: the forgotten dimension.

Authors:  Walter T McNicholas; Johan Verbraecken; Jose M Marin
Journal:  Eur Respir Rev       Date:  2013-09-01

2.  Disturbed sleep among COPD patients is longitudinally associated with mortality and adverse COPD outcomes.

Authors:  Theodore A Omachi; Paul D Blanc; David M Claman; Hubert Chen; Edward H Yelin; Laura Julian; Patricia P Katz
Journal:  Sleep Med       Date:  2012-03-18       Impact factor: 3.492

3.  Sleep quality and daytime sleepiness in patients with COPD and asthma.

Authors:  Marija Vukoja; Ivan Kopitovic; Dragana Milicic; Olivera Maksimovic; Zora Pavlovic-Popovic; Miroslav Ilic
Journal:  Clin Respir J       Date:  2016-07-27       Impact factor: 2.570

4.  Usefulness of the Medical Research Council (MRC) dyspnoea scale as a measure of disability in patients with chronic obstructive pulmonary disease.

Authors:  J C Bestall; E A Paul; R Garrod; R Garnham; P W Jones; J A Wedzicha
Journal:  Thorax       Date:  1999-07       Impact factor: 9.139

5.  Sleep quality in chronic obstructive pulmonary disease.

Authors:  David G McSharry; Silke Ryan; Peter Calverley; J Colin Edwards; Walter T McNicholas
Journal:  Respirology       Date:  2012-10       Impact factor: 6.424

6.  Sleep complaints and sleep breathing disorders in upper and lower obstructive lung diseases.

Authors:  Matteo Ferrando; Diego Bagnasco; Valeria Roustan; Giorgio Walter Canonica; Fulvio Braido; Ilaria Baiardini
Journal:  J Thorac Dis       Date:  2016-08       Impact factor: 2.895

7.  Factors determining the quality of life of patients with COPD in primary care.

Authors:  Marc Miravitlles; Jesús Molina; Karlos Naberan; Josep Maria Cots; Fernando Ros; Carles Llor
Journal:  Ther Adv Respir Dis       Date:  2007-12       Impact factor: 4.031

8.  Sleep quality predicts quality of life in chronic obstructive pulmonary disease.

Authors:  Steven M Scharf; Nimrod Maimon; Tzahit Simon-Tuval; Barbara J Bernhard-Scharf; Haim Reuveni; Ariel Tarasiuk
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2010-12-22

9.  Development and psychometric assessment of the COPD and Asthma Sleep Impact Scale (CASIS).

Authors:  Robin F Pokrzywinski; David M Meads; Stephen P McKenna; G Alistair Glendenning; Dennis A Revicki
Journal:  Health Qual Life Outcomes       Date:  2009-12-07       Impact factor: 3.186

10.  Factors affecting health status in COPD patients with co-morbid anxiety or depression.

Authors:  Minna J Hynninen; Ståle Pallesen; Inger Hilde Nordhus
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2007
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  1 in total

1.  Investigation on the Relationship between Sleep Quality and Depression and Anxiety in Hospitalized Patients with Different Levels of AECOPD.

Authors:  Dingfang Liu; Ying Zou; Yumei Wang
Journal:  Comput Math Methods Med       Date:  2022-04-30       Impact factor: 2.238

  1 in total

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