Literature DB >> 24348032

Impact of night-time symptoms in COPD: a real-world study in five European countries.

David Price1, Mark Small2, Gary Milligan2, Victoria Higgins2, Esther Garcia Gil3, Jordi Estruch3.   

Abstract

BACKGROUND: Sleep quality is often poor in patients with chronic obstructive pulmonary disease (COPD). A cross-sectional European survey investigated the prevalence of night-time symptoms in COPD to evaluate the level of disconnect between physician and patient perceptions of the presence of night-time symptoms, and to compare the characteristics of patients with and without night-time symptoms.
METHODS: A total of 251 primary care physicians and 251 respiratory specialists completed record forms on 2,807 patients with COPD. The forms captured information on patient demographics, lung function, COPD severity, and symptoms. Patients completed questionnaires on the time of day when their COPD symptoms bothered them, and the impact of COPD on their ability to get up in the morning and on sleep. Data were compared between groups (those with and without night-time symptoms) using t-tests or Wilcoxon signed rank tests. The kappa statistic was used to assess the level of disconnect between physician and patient perceptions of the impact of night-time symptoms.
RESULTS: Most patients (78%) reported night-time disturbance. Patients with night-time symptoms experienced more daytime breathlessness (mean modified Medical Research Council dyspnea scale score 2.4 versus 1.1) and exacerbations in the previous 12 months (mean 1.7 versus 0.4), and received more maintenance therapy (mean of 2.8 versus 2.3 products) than those without. Concordance between the frequency of physician-reported (67.9% of patients) and patient-reported (68.5% of patients) night-time symptoms was good. Physicians significantly underestimated the impact of COPD on the patient's ability to get up in the morning and on sleep (fair-moderate agreement). Physician-reported night-time symptoms were present for 41.2% of patients who could be categorized by Global initiative for chronic Obstructive Lung Disease (GOLD) group (n=937), increasing from 20.9% of those in the low-risk group to 77.4% of those in the high-riskgroup.
CONCLUSION: Patients with COPD experience night-time symptoms regardless of GOLD group, that impact on their ability to get up in the morning and on their sleep quality.

Entities:  

Keywords:  burden; chronic obstructive pulmonary disease; night-time symptoms; sleep quality

Mesh:

Year:  2013        PMID: 24348032      PMCID: PMC3849086          DOI: 10.2147/COPD.S48570

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


Introduction

Chronic obstructive pulmonary disease (COPD) is a progressive respiratory condition characterized by chronic airflow obstruction that is not fully reversible.1 Sleep quality is often poor in patients with COPD, and patients frequently report difficulty in falling asleep, nocturnal awakening, and insomnia.2,3 Epidemiological data suggest that as many as 76% of patients may experience frequent nocturnal awakening.2,4 Compared with individuals without COPD matched for age, sex, and body mass index, patients with stable mild to moderate COPD appear to be more likely to report insomnia as well as difficulty in initiating and maintaining sleep.2 Poor sleep quality has been associated with a reduced quality of life in patients with COPD.5,6 Despite the apparent prevalence of poor sleep quality and sleep disturbance in patients with COPD, the contribution of COPD-related night-time symptoms has not been widely evaluated. Indeed, there is no formal definition of night-time symptoms in COPD.4 The potential long-term adverse consequences of sleep deprivation on human health are well documented and may include an increased risk of cardiovascular disease and all-cause mortality as well as depression.7–9 As such, night-time symptoms and the associated sleep disturbance and deprivation have the potential to impact a range of long-term outcomes for patients with COPD.4–6 Understanding the impact of COPD symptoms on sleep quality and disturbance should enhance the ability of physicians to manage and relieve the symptoms of the disease and potentially improve long-term outcomes for patients with COPD. The objectives of the current analysis were to evaluate the incidence of COPD-related night-time symptoms as reported by physicians and patients with COPD, and to test the hypothesis that the prevalence and impact of COPD-related night-time symptoms increase with increasing COPD severity. The analysis also sought to evaluate the level of disconnect between physician and patient perceptions of the presence of night-time symptoms, and to compare the characteristics of patients, including their Global initiative for chronic Obstructive Lung Disease (GOLD) grouping, with and without physician-reported night-time symptoms in order to explore the additional burden of night-time symptoms in patients with COPD.

Materials and methods

Data were drawn from the Adelphi Respiratory Disease Specific Programme,10 a real-life, patient record-based survey of respiratory specialists and primary care physicians in France, Germany, Italy, Spain, and the UK conducted between June and September 2009. The Respiratory Disease Specific Programme survey adhered to version 6.3 of the European Pharmaceutical Market Research Association (EphMRA) code of conduct governing market research, including the guidance related to collecting written informed consent from all participating patients and the anonymous and aggregated reporting of data.11 To ensure compliance with data protection laws, all data were deidentified and aggregated prior to receipt by Adelphi Real World.

Data collection

Physicians eligible to participate included respiratory specialists and primary care physicians caring for patients with COPD who were personally responsible for decisions about their treatment. In addition, physicians were required to see at least three patients with COPD each week. Eligible physicians provided information on six consecutive patients with COPD (aged >40 years with a history of smoking and a diagnosis of airflow obstruction). Information was collected via a physician record form. Physician-reported data included patient demographics, most recent forced respiratory volume over one second (FEV1), physician subjective severity assessment of COPD, exacerbation frequency in the last 12 months, and the modified Medical Research Council (mMRC) dyspnea scale score.1 Additional information included the time of day the patient is most commonly bothered by their COPD overall (daytime only, night-time only, primarily daytime with occasional night-time, primarily night-time with occasional daytime, or both day and night), the time of day of individual COPD symptoms (daytime, night-time, and/or getting up in the morning), the impact of night-time symptoms on sleep (evaluated using a seven-point Likert scale [1=no impact, 7=constant impact]), and the frequency of nocturnal awakening due to COPD symptoms (not at all, once or twice a week, once a week, 2–3 nights a week, or ≥4 nights a week). Patients for whom a physician record form had been completed were then invited to voluntarily complete a self-report questionnaire. Patient-reported data included the time of day the patient is bothered by their COPD (daytime only, night-time only, primarily daytime with occasional night-time, primarily night-time with occasional daytime, or both day and night), the impact of COPD on the patient’s ability to get up in the morning and on sleep using a seven-point Likert scale (1=no impact, 7=constant impact), the Jenkins Sleep Questionnaire,12 the frequency of nocturnal awakening in the last 4 weeks due to COPD symptoms (not at all, once or twice a week, once a week, 2–3 nights a week, or ≥4 nights a week), the mMRC, and health-related quality of life using the EuroQol 5 dimensions measure (EQ-5D).13 Patients completed the self-report questionnaire independently and returned it to their physician in a sealed envelope, which was then returned unopened to the study coordinator. All responses were voluntary and anonymous to preserve patient confidentiality. Elements of the questionnaire that did not form part of the validated tools were developed in English and then translated into the relevant language by native speakers. Subsequently, an independent UK translation agency performed a validation before approval.

Statistical analyses

Demographic and disease characteristics were compared between groups (those with and without physician-reported night-time symptoms) using t-tests or Wilcoxon signed rank tests. The kappa statistic level of agreement was used to assess the level of disconnect between physician and patient perceptions of the impact of night-time symptoms according to Landis and Koch, as follows:14 <0.00 poor; 0.00–0.20 slight; 0.21–0.40 fair; 0.41–0.60 moderate; 0.61–0.80 substantial; 0.81–1.00 almost perfect. Cohorts were selected on the basis of availability of responses to particular questions. Where a response was not available, the patient was excluded from that particular analysis. Double-robust estimates15,16 of the effect of night-time disturbances on a variety of health-related and resource use-related factors were computed. This method enables efficient adjustment for potential confounding factors. The confounding factors used here were drawn from the physician report form and included age, sex, body mass index (calculated from height and weight), smoking status (current or ex-smoker), physician subjective assessment of COPD severity, presence of depression or anxiety, and physician-reported medication compliance (frequency per day). Compliance was defined as the extent to which patients, as assessed by their physician, followed their prescribing instructions and advice with regard to dosing frequency and inhaler device usage on a five-point Likert scale from “not at all compliant” to “fully compliant”. The method involves generating a propensity score based on the confounding factors (predicted values from a logistic regression for night-time disturbances). The inverse of this propensity score is then used in appropriate regressions on a given outcome, which also includes the confounding factors as covariates. The double-robust estimate is calculated from the results of these regressions, and shows how each outcome differs between patients with night-time disturbances and those with no night-time disturbance, having adjusted for confounding factors. As per the GOLD 2013 strategy document, patients for whom an mMRC score (patient-reported) and either an FEV1 score or exacerbation history (physician-reported), or both, were available were stratified by GOLD groups A–D.1 A valid FEV1 measurement was available for almost 50% of patients permitting full GOLD grouping; for the remaining patients GOLD grouping was by exacerbations only. The proportion of patients with and without night-time symptoms in each GOLD category was determined.

Results

A total of 251 primary care physicians and 251 respiratory specialists provided information on 2,807 patients. Table 1 provides an overview of the demographics and disease characteristics of the patient population. The cohort of patients for whom physician-only data were available tended to be slightly older, had a slightly lower mean FEV1, and were slightly more breathless (all as reported by their physician) than the cohort of patients with both physician-reported and patient-reported data (Table 1). Data were available to categorize 1,699 patients by GOLD group (a patient-reported mMRC score and either an FEV1 score or physician-reported exacerbation history). The majority of patients (66.3%) were classified as GOLD group A or B (low-risk).
Table 1

Demographic and disease characteristics

CharacteristicAll patientsnPatients with physician-reported and patient-reported datafnPatients with physician-reported data onlygnP-value
Mean age, years (SD)65.7 (10.5)2,80765.0 (10.5)1,88567.0 (10.3)922<0.0001a
Sex, % male69.92,79271.61,87566.49170.0057b
Mean BMI, kg/m2 (SD)26.3 (7.6)2,69026.7 (8.5)1,82525.6 (5.1)8650.0002a
Ethnic origin, n (%)2,7851,8669190.0003c
 White/Caucasian2,662 (95.6)1,791 (96.0)871 (94.8)
 Afro-Caribbean28 (1.0)13 (0.7)15 (1.6)
 Asian (Indian subcontinent)8 (0.3)2 (0.1)6 (0.7)
 Asian (other)17 (0.6)8 (0.4)9 (1.0)
 Hispanic58 (2.1)47 (2.5)11 (1.2)
 Other12 (0.4)5 (0.3)7 (0.8)
Smoking status, n (%)2,6541,7558990.8991b
 Ex-smoker1,648 (62.1)1,088 (62.0)560 (62.3)
 Current smoker1,006 (37.9)667 (38.0)339 (37.7)
Mean FEV1 (% predicted)58.4 (20.2)1,43160.3 (20.1)91554.9 (19.9)516<0.0001a
GOLD group, n (%)1,6991,6990
 A712 (41.9)712 (41.9)
 B414 (24.4)414 (24.4)
 C191 (11.2)191 (11.2)
 D382 (22.5)382 (22.5)
Mean mMRC score (SD)1.68 (1.3)2,7741.58 (1.2)1,8591.87 (1.3)915<0.0001a
mMRC level of breathlessness, n (%)2,7741,859915<0.0001d
 Too breathless to leave the house258 (9.3)151 (8.1)107 (11.7)
 Stops for a breath after walking a few minutes, even on level ground540 (19.5)344 (18.5)196 (21.4)
 Walks slower than most people of the same age603 (21.7)372 (20.0)231 (25.3)
 Gets breathless when hurrying on level ground or walking up a slight incline796 (28.7)566 (30.5)230 (25.1)
 Only gets breathless after exercising heavily577 (20.8)426 (22.9)151 (16.5)
Mean Jenkins sleep Questionnaire score (SD)4.73 (4.6)1,7464.73 (4.6)1,7460a
Concomitant conditions,e n (%)2,8071,885922
 Elevated cholesterol606 (21.6)424 (22.5)181 (19.6)0.0950c
 Hypertension1,207 (43.0)837 (44.4)372 (40.3)0.0540c
 Diabetes340 (12.1)226 (12.0)114 (12.4)0.8060c
 Prostate disorder320 (11.4)230 (12.2)90 (9.8)0.0580c
Anxiety280 (10.0)179 (9.5)101 (11.0)0.2280b
 Depression361 (12.9)222 (11.8)139 (15.1)0.0163b
Time of day of symptoms, n (%)2,7541,8489060.0130c
 Daytime only901 (32.7)587 (31.8)314 (34.7)
 Primarily daytime with occasional night time1,021 (37.1)704 (38.1)317 (35.0)
 Both day and night670 (24.3)432 (23.4)238 (26.3)
 Primarily night time with occasional daytime115 (4.2)89 (4.8)26 (2.9)
 Night time only47 (1.7)36 (2.0)11 (1.2)
Respiratory drug therapy, n (%)2,8071,885922<0.0001c
 SABA only200 (7.1)133 (7.1)67 (7.3)
 LABA99 (3.5)81 (4.3)18 (2.0)
 LAMA540 (19.2)390 (20.7)150 (16.3)
 ICS87 (3.1)60 (3.2)27 (2.9)
 ICS/LABA701 (25.0)488 (25.9)213 (23.1)
 ICS/LAMA45 (1.6)28 (1.5)17 (1.8)
 LABA/LAMA104 (3.7)83 (4.4)21 (2.3)
 ICS/LABA/LAMA911 (32.5)544 (28.9)367 (39.8)
 Other120 (4.3)78 (4.1)42 (4.6)

Notes:

t-test

Fisher’s exact test

chi-square test

Mann–Whitney

Physician-confrmed diagnosis

Physician report Form and Patient self-Completion Questionnaire available

Physician report Form only available.

Abbreviations: BMI, body mass index; FEV1, forced respiratory volume over one second; GOLD, global initiative for chronic Obstructive Disease; ICS, inhaled corticosteroid; LABA, long-acting bronchodilator; LAMA, long-acting antimuscarinic agent; mMRC, modified Medical Research Council; SABA, short-acting bronchodilator; SD, standard deviation.

Incidence of night-time symptoms

Night-time sleep disturbance was reported by 78% of patients (Jenkins Sleep Questionnaire score >1 reported in the last 28 days). Figure 1 illustrates the proportion of patients reporting various types of sleep disturbance in the previous 28 days.
Figure 1

Proportion of patients reporting the four types of sleep disturbance in the previous 28 days as defined by the Jenkins Sleep Questionnaire.

Awareness of night-time symptoms by physicians

Agreement between physician-reporting and patient-reporting of night-time symptoms was evaluated in the subset of patients who completed a self-report questionnaire (n=1,777). In this subgroup, a similar proportion of patients reported the presence of night-time symptoms whether based on physician’s opinion (67.9%) or patient’s opinion (68.5%). Figure 2 shows the time of day that COPD symptoms bothered patients, as reported by both the physicians and patients. There were no statistically significant differences between physician and patient reporting of the time of day COPD symptoms bothered patients.
Figure 2

Time of day that the patient’s COPD symptoms bother them, as reported by physicians and the patients themselves (the analysis set was the cohort for whom both physician-reported and patient-reported data were available).

Abbreviation: COPD, chronic obstructive pulmonary disease.

Night-time symptoms and COPD disease severity

Physicians reported the presence of night-time symptoms in 1,207/1,777 (67.9%) patients for whom both physician-reported and patient-reported data were available. Patients with night-time symptoms (as reported by their physician) experienced more daytime breathlessness and exacerbations in the previous 12 months (both physician-reported), and received more maintenance therapy (physician-reported) compared with patients classified as having daytime only symptoms (Table 2).
Table 2

Characteristics of patients with and without physician-reported night time symptoms

CharacteristicWith NTSeWithout NTSfP-value
Mean age, years67.6n=670g64.3n=901
Sex, n (%) malea462 (69.2)621 (69.2)1.0
smoking status, n (%)a0.456
 Ex-smoker401 (61.7)509 (59.7)
 Current smoker249 (38.3)344 (40.3)
Mean FEV1 % predictedb49.4n=32064.1n=499<0.0001
GOLD group, n (%)c<0.0001
 A92 (20.9)347 (79.0)
 B100 (45.9)118 (54.1)
 C43 (50.6)42 (49.4)
 D151 (77.4)44 (22.6)
Mean mMRC score (SD)b2.4n=6621.1n=891<0.0001
Level of breathlessness (mMRC), n (%)dn=662n=891<0.0001
 Too breathless to leave the house147 (22.2)15 (1.7)
 Stops for a breath after walking a few minutes189 (28.5)87 (9.8)
 Walks slower than most people of the same age150 (22.7)183 (20.5)
 Gets breathless when hurrying on level ground121 (18.3)301 (33.8)
 Only gets breathless after exercising heavily55 (8.3)305 (34.2)
Mean EQ-5D (patient-reported)0.59n=4000.82n=561<0.0001
Number of exacerbations in the last 12 months, mean (SD)1.69 (2.37)n=6040.41 (0.86)n=869
Mean number of maintenance products for COPDd2.8n=6702.3n=901<0.0001
Visits to physician in the last 12 months, mean (SD)6.19n=6653.88n=897<0.0001
Hospital admissions, mean (SD)0.48n=6410.08n=850<0.0001
Emergency department admissions, mean (SD)0.48n=6420.08n=850<0.0001
ICU admissions, mean (SD)0.07n=6420.01n=850<0.0001
Number of nights spent in ICU, mean (SD)0.29n=6410.02n=848<0.0001
Number of nights spent in hospital, mean (SD)3.47n=6370.48n=850<0.0001

Notes:

Fisher’s exact test

t-test

chi-square test

Mann–Whitney

physician-reported both daytime and night-time symptoms (excluding patients for whom occasional daytime or night-time symptoms were reported and those with night-time symptoms only)

physician-reported daytime symptoms only

n values refer to the number of patients for whom a response to the relevant question was available.

Abbreviations: COPD, chronic obstructive pulmonary disease; EQ-5D, EuroQol 5 dimensions measure; FEV1, forced respiratory volume over one second; GOLD, global initiative for chronic Obstructive Disease; ICU, intensive care unit; mMRC, modified Medical Research Council; NTS, night-time symptoms; SD, standard deviation.

Information was available to categorize a total of 1,699 patients by GOLD group; of these, data on the presence or absence of night-time symptoms were available for 937 (for the remaining patients physician-reported information on the presence of night-time symptoms were not available). Physicians reported the presence of night-time symptoms in 386/937 patients (41.2%), 192 of whom (50%) were assigned to the low-risk groups (A and B) and 194 (50%) were assigned to one of the two high-risk groups (C and D).

Association between night-time symptoms and sleep and health status in patients with COPD

Patients whose physician reported that they experienced night-time symptoms were significantly more likely to experience COPD-related symptoms when getting up in the morning (as reported by their physician) than those whose physician reported that they did not experience night-time symptoms (52.4% versus 19.2%, respectively; P<0.001). They were also more likely to self-report at least some level of sleep disturbance (Jenkins Sleep Questionnaire) in the previous 28 days compared with those without physician-reported night-time symptoms (91.1% versus 60.5%; P<0.0001). Patients with physician-reported night-time symptoms had significantly poorer health-related quality of life (as assessed using the EQ-5D) compared with those without physician-reported night-time symptoms (mean scores 0.59 and 0.82, respectively) and significantly higher health care resource utilization (P<0.0001, Table 2). Multivariate regression analysis of the association between night-time symptoms and measures of health status and resource use (Table 3) demonstrated a significant association (P<0.0001) between night-time symptoms and a variety of health status-related and resource use-related factors when patients with and without physician-reported night-time symptoms were compared. Thus, the presence of night-time symptoms was associated with higher scores on the Jenkins Sleep Questionnaire and mMRC dyspnea scale (coefficients of 3.493 and 0.446, respectively), the presence of symptoms when getting up in the morning (coefficient 0.237), a lower EQ-5D state valuation (coefficient −0.101), and increased health care resource utilization, including number of physician visits (coefficient 2.518) and hospital admissions (coefficient 0.187).
Table 3

Association of night-time symptoms and health and resource use-related factors

FactorObservationsCoefficient95% CIP-value
Jenkins Sleep Questionnaire8293.4932.778–4.207<0.0001
Symptoms when getting up in the morning8800.2370.165–0.309<0.0001
EQ-5D state valuation842−0.101−0.138 to −0.064<0.0001
mMRC dyspnea scale8710.4460.582–0.310<0.0001
Number of physician visits8762.5181.825–3.211<0.0001
Number of hospital admissions8340.1870.114–0.261<0.0001
Number of emergency department admissions8340.2160.151–0.281<0.0001
Number of ICU admissions8340.0340.009–0.0590.009
Number of nights in ICU8340.1300.037–0.2220.006
Number of nights in hospital8321.2770.640–1.913<0.0001
Number of maintenance products currently prescribed8800.1890.080–0.298<0.001

Abbreviations: CI, confidence interval; EQ-5D, EuroQol 5 dimensions measure; ICU, intensive care unit; mMRC, modified Medical Research Council.

Impact of COPD on lifestyle factors

The difference between physician and patient perception of the impact of COPD was statistically significant for the impact on the patients’ ability to get up in the morning (mean scores 3.05 and 3.12, respectively, P=0.018) and for the impact on sleep (mean scores 2.84 and 3.02, respectively, P<0.0001, Figure 3). The difference in perception of the impact of COPD was of borderline significance for the patient’s ability to complete their normal daily activities (mean scores 3.38 and 3.44, respectively, P=0.0535). The level of agreement (kappa statistic) across the lifestyle factors evaluated was regarded as fair to moderate.
Figure 3

Impact of COPD on lifestyle factors, as assessed by patients and their physicians (the analysis set was the cohort for whom both physician-reported and patient-reported data were available).

Note: aPatients and physicians were asked to rate the impact of COPD on various lifestyle factors on a seven-point Likert scale (1=no impact, 7=constant impact).

Abbreviation: COPD, chronic obstructive pulmonary disease.

Discussion

In this cohort of more than 2,800 patients with COPD, the majority reported some degree of sleep disturbance in the previous 28 days, including trouble falling asleep, waking up during the night, trouble staying asleep, and waking up feeling worn out after a usual amount of sleep. Physicians reported that their patients experienced a variety of COPD-related symptoms both during the night and on waking in the morning, and that the majority of patients (67.3%) experienced night-time symptoms. When the patient cohort was stratified for the presence of night-time symptoms, those with nocturnal symptoms also experienced more daytime breathlessness and more frequent exacerbations, and used more maintenance products than those without night-time symptoms. Moreover, patients with night-time symptoms appeared to be more likely to experience difficulty in getting up in the morning, disturbed sleep, and poorer quality of life. There appeared to be a good level of concordance between the frequency of physician-reported and patient- reported night-time symptoms. However, physicians appeared to significantly underestimate the impact of COPD on the ability of patients to get up in the morning and on sleep. A survey of more than 800 patients with COPD in Europe and the US revealed a range of activities that were impacted by the disease in the mornings, including the ability to walk up and down stairs, washing and personal hygiene, and getting dressed.17 A more directed approach to relieving or improving sleep quality and quantity by addressing night-time symptoms may be of particular benefit to patients in reducing how bothersome the disease is perceived to be. A number of recent studies have highlighted the high symptom burden and significant impact on global quality of life for patients with COPD, a burden which has been estimated to be comparable with that of patients with cancer.18,19 The strengths of the study reported here include the large cohort of patients (>2,800) and the collection of data from both the physician’s and patient’s perspective. A number of the analyses presented here required comparison of both physician-reported and patient-reported data and so were conducted in the subgroup of patients for whom such data were available (n=1,777). A comparison of the baseline demographic and disease characteristics in this subgroup with the cohort of patients having only physician-reported data revealed that patients for whom physician-only data was available tended to be slightly older, had a slightly lower mean FEV1, and were slightly more breathless (all as reported by their physician) than the cohort of patients with both physician-reported and patient-reported data. Although these differences reached statistical significance, the absolute differences were small and, in the opinion of the authors, are unlikely to bias the conclusions presented here. Multivariate techniques were also employed to take into consideration a number of confounders (Table 3). The study is limited by the collection of data only from patients presenting for care (primary or specialist). As such, this cohort of patients may represent those more bothered by their symptoms at the time of the study. The cross-sectional nature of the data also limits the conclusions that can be drawn from the data presented here to an observed association rather than a causal relationship, particularly given that a number of analyses were conducted in subgroups of patients where both physician-reported and patient-reported data were available. Finally, the data must be viewed with caution given that it was not possible to adjust the data in order to account fully for the contribution of disease severity to the observations reported here. The results of this retrospective analysis of a large cohort of patients with COPD have demonstrated a high prevalence of sleep disturbance and a high frequency of nocturnal COPD-related symptoms. The prevalence of nighttime symptoms appears to increase with increasing disease severity. However, our study suggests that even patients who meet the criteria for GOLD categories A and B report a considerable amount of night-time symptoms. Patients report a considerable impact of COPD on their ability to get up in the morning and their sleep. These results indicate a need to increase the awareness of the impact of COPD symptoms on sleep and to specifically address the burden of night-time symptoms and early morning symptoms in patients with COPD. Identifying patients with night-time and early morning symptoms would allow physicians to tailor treatment to address this unmet need with the aim of improving patient quality of life and health status.
  17 in total

Review 1.  EQ-5D: a measure of health status from the EuroQol Group.

Authors:  R Rabin; F de Charro
Journal:  Ann Med       Date:  2001-07       Impact factor: 4.709

2.  Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study.

Authors:  Jared K Lunceford; Marie Davidian
Journal:  Stat Med       Date:  2004-10-15       Impact factor: 2.373

Review 3.  Night-time symptoms: a forgotten dimension of COPD.

Authors:  A Agusti; J Hedner; J M Marin; F Barbé; M Cazzola; S Rennard
Journal:  Eur Respir Rev       Date:  2011-09-01

4.  A scale for the estimation of sleep problems in clinical research.

Authors:  C D Jenkins; B A Stanton; S J Niemcryk; R M Rose
Journal:  J Clin Epidemiol       Date:  1988       Impact factor: 6.437

5.  Insomnia in patients with COPD.

Authors:  Rohit Budhiraja; Sairam Parthasarathy; Pooja Budhiraja; Michael P Habib; Christopher Wendel; Stuart F Quan
Journal:  Sleep       Date:  2012-03-01       Impact factor: 5.849

Review 6.  Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: National Heart, Lung, and Blood Institute and World Health Organization Global Initiative for Chronic Obstructive Lung Disease (GOLD): executive summary.

Authors:  R A Pauwels; A S Buist; P Ma; C R Jenkins; S S Hurd
Journal:  Respir Care       Date:  2001-08       Impact factor: 2.258

7.  The effect of short sleep duration on coronary heart disease risk is greatest among those with sleep disturbance: a prospective study from the Whitehall II cohort.

Authors:  Tarani Chandola; Jane E Ferrie; Aleksander Perski; Tasnime Akbaraly; Michael G Marmot
Journal:  Sleep       Date:  2010-06       Impact factor: 5.849

Review 8.  Behavioral and physiological consequences of sleep restriction.

Authors:  Siobhan Banks; David F Dinges
Journal:  J Clin Sleep Med       Date:  2007-08-15       Impact factor: 4.062

9.  Impaired sleep reduces quality of life in chronic obstructive pulmonary disease.

Authors:  Deuzilane Muniz Nunes; Rosa Maria Salani Mota; Osvaldo Leite de Pontes Neto; Eanes Delgado Barros Pereira; Veralice Meireles Sales de Bruin; Pedro Felipe Carvalhedo de Bruin
Journal:  Lung       Date:  2009-04-28       Impact factor: 2.584

10.  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
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  41 in total

Review 1.  Circadian molecular clock in lung pathophysiology.

Authors:  Isaac K Sundar; Hongwei Yao; Michael T Sellix; Irfan Rahman
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2015-09-11       Impact factor: 5.464

2.  The effects of depression, anxiety and sleep disturbances on cognitive impairment in patients with chronic obstructive pulmonary disease.

Authors:  Yesim Güzey Aras; Abdülkadir Tunç; Belma Doğan Güngen; Adil Can Güngen; Yusuf Aydemir; Bekir Enes Demiyürek
Journal:  Cogn Neurodyn       Date:  2017-08-05       Impact factor: 5.082

3.  Sleep Quality and Nocturnal Symptoms in a Community-Based COPD Cohort.

Authors:  Aditi Shah; Najib Ayas; Wan-Cheng Tan; Atul Malhotra; John Kimoff; Marta Kaminska; Shawn D Aaron; Rachel Jen
Journal:  COPD       Date:  2020-01-10       Impact factor: 2.409

4.  Compensatory responses to increased mechanical abnormalities in COPD during sleep.

Authors:  Nicolle J Domnik; Devin B Phillips; Matthew D James; Grace A Ayoo; Sarah M Taylor; Robin E Scheeren; Amanda T Di Luch; Kathryn M Milne; Sandra G Vincent; Amany F Elbehairy; Sophie J Crinion; Helen S Driver; J Alberto Neder; Denis E O'Donnell
Journal:  Eur J Appl Physiol       Date:  2022-01-16       Impact factor: 3.346

5.  Characterizing COPD Symptom Variability in the Stable State Utilizing the Evaluating Respiratory Symptoms in COPD Instrument.

Authors:  Jamuna K Krishnan; Kayley M Ancy; Clara Oromendia; Katherine L Hoffman; Imaani Easthausen; Nancy K Leidy; MeiLan K Han; Russell P Bowler; Stephanie A Christenson; David J Couper; Gerard J Criner; Jeffrey L Curtis; Mark T Dransfield; Nadia N Hansel; Anand S Iyer; Robert Paine Iii; Stephen P Peters; Jadwiga A Wedzicha; Prescott G Woodruff; Karla V Ballman; Fernando J Martinez
Journal:  Chronic Obstr Pulm Dis       Date:  2022-04-29

6.  Association of sleep quality with telomere length, a marker of cellular aging: A retrospective cohort study of older adults in the United States.

Authors:  Chibuzo Iloabuchi; Kim E Innes; Usha Sambamoorthi
Journal:  Sleep Health       Date:  2020-03-27

7.  Pulmonary Overlap Syndromes, with a focus on COPD and ILD.

Authors:  Katherine A Dudley; Atul Malhotra; Robert L Owens
Journal:  Sleep Med Clin       Date:  2014-09

8.  The Burden of Cough and Phlegm in People With COPD: A COPD Patient-Powered Research Network Study.

Authors:  Radmila Choate; Cara B Pasquale; Nereida A Parada; Valentin Prieto-Centurion; Richard A Mularski; Barbara P Yawn
Journal:  Chronic Obstr Pulm Dis       Date:  2020-01

Review 9.  The Role of Guaifenesin in the Management of Chronic Mucus Hypersecretion Associated with Stable Chronic Bronchitis: A Comprehensive Review.

Authors:  Jill A Ohar; James F Donohue; Selwyn Spangenthal
Journal:  Chronic Obstr Pulm Dis       Date:  2019-10-23

10.  Aclidinium bromide and formoterol fumarate as a fixed-dose combination in COPD: pooled analysis of symptoms and exacerbations from two six-month, multicentre, randomised studies (ACLIFORM and AUGMENT).

Authors:  Eric D Bateman; Kenneth R Chapman; Dave Singh; Anthony D D'Urzo; Eduard Molins; Anne Leselbaum; Esther Garcia Gil
Journal:  Respir Res       Date:  2015-08-02
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