Literature DB >> 30428708

The effect of comorbidity severity on pulmonary rehabilitation outcomes in chronic obstructive pulmonary disease patients.

Ilknur Naz1, Hulya Sahin2, Yelda Varol2, Berna Kömürcüoğlu2.   

Abstract

CLINICAL TRIAL NUMBER: NCT03319108.

Entities:  

Keywords:  Charlson Comorbidity Index; Chronic obstructive pulmonary disease; comorbidity; pulmonary rehabilitation

Mesh:

Year:  2019        PMID: 30428708      PMCID: PMC6301838          DOI: 10.1177/1479972318809472

Source DB:  PubMed          Journal:  Chron Respir Dis        ISSN: 1479-9723            Impact factor:   2.444


Introduction

Chronic obstructive pulmonary disease (COPD) does not only remain to be an important cause of mortality and morbidity in the world but also poses an important public health issue with its increasing prevalence.[1] COPD is characterized by avoidance of physical activity due to dyspnea, therefore with reduced exercise capacity, impaired quality of life, and psychological problems.[2] COPD does not only affect lungs, it is also a complicated, systemic disease with important extra-pulmonary effects. The most frequent comorbidities encountered in COPD patients are arterial hypertension, coronary artery disease, heart failure, and lung cancer.[3] These comorbidities increase the severity of the disease and worsen the quality of life and prognosis. The cause of mortality in the majority of the COPD patients is due to comorbidities.[3,4] Pulmonary rehabilitation (PR) has been defined as an evidence-based, multidisciplinary, and comprehensive intervention for patients with chronic respiratory diseases who are symptomatic and often have decreased daily life activities.[5-7] Exercise training is the cornerstone of the PR.[3] The other components of PR are education, self-management training, nutritional, and psychological support.[7] PR has been demonstrated to increase the exercise tolerance, lower the dyspnea perception, and improve the quality of life in COPD patients.[7] However, the patients’ responses to PR differ, and no improvement can be achieved in some patients.[8] Especially, the presence and number of comorbidities may decrease the positive effects of PR on dyspnea perception, functional exercise capacity, and quality of life.[9,10] However, the results are inconsistent and, while classifications were frequently made based on the number of comorbidities in the previous studies, the effect of the comorbidity severity was not explored and more advanced diseases did not compare with milder diseases. Therefore, the aim of our study is to determine the effect of comorbidity severity on PR outcomes in COPD patients participating PR program.

Methods

We conducted a retrospective database study to investigate the effect of comorbidity severity on PR outcomes in COPD patients who completed an 8-week supervised outpatient PR program in the PR Unit at Dr. Suat Seren Chest Diseases and Surgery Training and Research Hospital in Izmir in Turkey. The study was approved by the local institutional review board on the date of January 6, 2017 (protocol number: 49109414/806.02.02). Patients included in the study completed an informed written consent form.

Subject selection

In total, 211 COPD patients diagnosed according to Global Initiative for Chronic Obstructive Lung Disease (GOLD) definition, who had completed PR program between 2013 and 2017 participated in this study. The inclusion criteria from the database to our study were a ratio of forced expiratory volume in 1 second (FEV1) to forced vital capacity (FVC) of 0.7 or less after bronchodilator use and a history of 10 or more pack-years of smoking.[11] The severity of COPD was graded according to the stages of disease defined by the GOLD.[12] We excluded patients who were diagnosed with other pulmonary diseases (asthma, interstitial lung disease), lost to follow-up, or were repeating PR from the study[13] (Figure 1).
Figure 1.

Flowchart of the study.

Flowchart of the study.

Measurements

Demographics (age, gender, body mass index (BMI)), clinics (smoking history, long-term oxygen therapy, using noninvasive ventilation, emergency admission, and hospitalization in the last year) were recorded.

Comorbidity severity

We collected comorbid conditions from the patient’s medical file records and the patient’s medication list. We calculated the comorbidity severity according to the modified Charlson Comorbidity Index (CCI)[14] but excluding age as previously suggested because it would affect the results of PR.[15] In this index, the each comorbidities are scored as 1, 2, 3, and 6 from mild disease to serious disease (comorbid conditions with a weight of one include coronary heart disease, congestive heart failure, peripheral vascular disease, cerebrovascular disease, dementia, connective tissue disease, ulcer disease, mild liver disease, and diabetes. Hemiplegia, diabetes with end-organ damage, any tumor, leukemia, and lymphoma have a weight of two. Moderate or severe liver disease has a weight of three. Metastatic solid tumor and AIDS have a weight of six). And comorbidity severity is calculated according to the weighted score which is obtained by summing up the scores of comorbidities. According to our data, we grouped our patients, those with the CCI of 1 as group 1, CCI of 2 as group 2, and CCI of >3 as group 3.[16]

Respiratory functions

Body plethysmography (Zan 500, Germany) and carbon monoxide diffusion capacity (Zan 300, Germany) are routinely measured for all patients who are attending to our hospital’s PR program.[17] We took all pulmonary function test results from our hospitals’ database. We recorded the % predicted values of FEV1, FVC, FEV1/FVC ratio, and carbon monoxide diffusion capacity (TLCO) before and after PR program.

Assessment of dyspnea

We used “Modified Medical Research Council (MMRC)” dyspnea scale, which consists of 5 items ranging between 1 and 5, to determine the severity of patientsshortness of breath. The score “1” represents the best level, where the score “5” indicates the poorest.[18]

Exercise capacity

We recorded the walking distance in the 6-minute walk test (6-MWT) performed according to the American thoracic society (ATS) guidelines before and after PR.[19]

Quality of life

We used St. George’s Respiratory Questionnaire (SGRQ) to determine disease-specific quality of life.[20] At this scale, high scores define worsened disease and increased symptoms. We assessed the overall quality of life by 36 Item Short Form Survey (SF-36) in which increased scores were considered in favor of improved quality of life.[21]

Interventions

We conducted pulmonary physiotherapy and rehabilitation sessions, lasting 2 hours, twice a week for 8 weeks to all patients that joined the program. Exercise program included breathing exercises consisted of pursed-lip breathing, diaphragmatic breathing and thoracic expansion exercises, relaxation and stretching exercises, aerobic exercises, and peripheral muscle strength training. Patients performed aerobic exercises for 30 minutes, which consisted of the treadmill and static bicycle ergometer. We calculated both workloads for cycling and walking speed for treadmill from 6-MWT. Treadmill walking speed was calculated using the following formula: (6-MWT distance × 10)/1000 × 0.8 km/h. Cycling workload was calculated with the formula (Watt = 103.217 + (30.500 × sex) + (−1.613 × age) + ((0.002 × distance × weight)) sex; male = 1 female = 0).[22] We were careful to keep the peak heart rate between 60% and90% of maximal heart rate. Exercise intensity increased according to patient progress. We used pulse oximetry to supervise patients during exercises, and, if the SpO2 fell below 90%, oxygen supplementation was provided. Patients performed upper and lower extremity strengthening exercises using free weights, with resistance gauged to their tolerance. The number of repetitions was progressed from 8 to 10. When the patient was able to perform the load for 1 or 2 repetitions over the target number, we increased it by 2–10%. Rest periods were 2 minutes between sets and 1 d between sessions. In addition, we regulated exercise intensity for both aerobic and strengthening program by modified BORG dyspnea scores (between 4 and 6).[5,7,19]

Statistical analysis

Statistical analysis of the data obtained in the study was performed using “Statistical Package for Social Science for Windows version 17” statistics software. Distribution normality of the data was checked by Kolmogorov–Smirnov test. Since the data were not normally distributed, continuous variables were expressed as median (interquartile range (IQR)), and categorical variables as percentage (%). Wilcoxon signed-ranks test was used for the comparison of the pretreatment and posttreatment measurable values of the same group. Kruskal–Wallis H test was conducted to compare the data between groups. The Mann–Whitney U test performed to test the significance of pairwise differences using Bonferroni correction to adjust for multiple comparisons. The analysis of categorical data was performed using χ2 test. The value of p < 0.05 is considered as statistically significant.

Results

In total, 211 COPD patients with a median age of 64 included in our study. The demographic and clinical characteristics of the patients are shown in Table 1. At least one comorbidity was found in 120 patients (56.8%) of the study participants.
Table 1.

Comparison of baseline values of the patients with and without comorbidity.a

ParametersAll patientsComorbidity (−)Comorbidity (+) p b
(n = 211)(n =91)(n = 120)
Age (year)64 (58, 68)62 (57, 66)65 (60, 70)<0.001
Duration of the disease (year)8 (4, 10)6 (3, 10)8 (5, 10)0.018
Smoking (p* year)55 (40, 80)55 (40, 80)55 (36, 75)0.269
BMI (kg/m2)25 (22, 30)24 (22, 28)27 (23, 32)<0.001
Males, n (%)187 (88.6)85 (93.4)102 (85.0)0.079
COPD stage, n (%)
 Stage 18 (3.8)5 (5.5)3 (2.5)
 Stage 265 (30.8)18 (19.8)47 (39.2)0.018
 Stage 389 (42.2)42 (46.2)47 (39.2)
 Stage 449 (23.2)26 (28.6)23 (19.2)
Emergency admission (n/last year)0 (0, 1)0 (0, 0)0 (0, 1)0.098
Hospitalization (n/last year)0 (0, 0)0 (0, 0)0 (0, 0)0.276
Respiratory function test
 FEV1 (%)41 (30, 59)39 (28, 50)43 (31, 61)0.069
 FEV1/FVC56 (48, 67)53 (45, 64)61 (51, 69)0.002
 TLCO (%)34 (21, 47)28 (18, 42)37 (24, 50)0.044
Arterial blood gas
 PaO2 (mmHg)72 (63, 80)72 (63, 79)72 (63, 81)0.590
 PACO2 (mmHg)40 (37, 45)41 (37, 44)40 (38, 46)0.453
 SaO2 (%)95 (93, 96)95 (93, 96)95 (93, 96)0.431
6-Minute-walk distance (m)350 (280, 410)368 (300, 423)330 (263, 400)0.020
MMRC3 (3, 4)3 (2, 4)3 (3, 4)0.197
SGRQ
 Symptom58 (42, 74)59 (45, 78)57 (41, 71)0.298
 Activity66 (54, 86)66 (54, 80)67 (54, 87)0.446
 Impact46 (31, 65)46 (31, 61)46 (31, 68)0.493
 Total55 (41, 71)55 (41, 69)56 (40, 74)0.729
SF-36
 Physical function45 (25, 70)50 (26, 75)44 (20, 65)0.395
 Social function63 (38, 88)63 (50, 88)63 (38, 88)0.319
 Physical role0 (0, 50)25 (0, 69)0 (0, 50)0.160
 Emotional role33 (0, 100)33 (0, 100)33 (0, 100)0.952
 General40 (24, 60)45 (25, 67)35 (22, 55)0.124
 Mental64 (44, 76)66 (44, 79)64 (44, 76)0.672
 Pain60 (32, 84)57 (32, 90)61 (41, 80)0.928
 Vitality50 (30, 70)55 (30, 70)50 (30, 65)0.374
HADa8 (4, 11)7 (4, 11)8 (5, 11)0.554
HADd7 (4, 10)7 (3, 9)7 (4, 10)0.168

FEV1: forced expiratory volume in 1 second; FVC: forced vital capacity; TLCO: carbon monoxide diffusion capacity; PaO2: partial arterial oxygen pressure; PaCO2: partial arterial carbon dioxide pressure; SaO2: arterial saturation; MMRC: modified Medical Research Council; SGRQ: St George Respiratory Questionnaire, SF-36: 36 Item Short Form Survey; HADa: Hospital Anxiety Depression anxiety score; HADd: Hospital Anxiety Depression depression score; BMI: body mass index.

a Data are presented as median (interquartile range) or percentage (%).

b Kruskal-Wallis H Test and χ2 Square Test.

*Mann–Whitney U test.

Comparison of baseline values of the patients with and without comorbidity.a FEV1: forced expiratory volume in 1 second; FVC: forced vital capacity; TLCO: carbon monoxide diffusion capacity; PaO2: partial arterial oxygen pressure; PaCO2: partial arterial carbon dioxide pressure; SaO2: arterial saturation; MMRC: modified Medical Research Council; SGRQ: St George Respiratory Questionnaire, SF-36: 36 Item Short Form Survey; HADa: Hospital Anxiety Depression anxiety score; HADd: Hospital Anxiety Depression depression score; BMI: body mass index. a Data are presented as median (interquartile range) or percentage (%). b Kruskal-Wallis H Test and χ2 Square Test. *Mann–Whitney U test. Compared with baseline measurements of patients with and without comorbidities, patients in the comorbid group had significantly higher age (p < 0.001), disease duration (p = 0.018), BMI (p < 0.001), and significantly lower 6-minute walking distances (6-MWD) (p = 0.020, Table 1). In terms of respiratory function tests, FEV1/FVC, TLCO values, and the number of stage 2 patients were higher in the comorbid group (p < 0.05, Table 1). The most frequent comorbidities were hypertension (n = 39, 32.5%), diabetes mellitus (n = 17, 14.2%), coronary artery disease (n = 12, 10.0%), osteoporosis (n = 12, 10.0%), and lung cancer (n = 11, 9.2%), respectively. The other comorbidities were osteoarthritis (n = 8, 6.6%), goiter (n = 7, 5.8%), cancer (n = 6, 5.0%), benign prostatic hyperplasia (n = 5, 4.1%), rheumatoid arthritis (n = 1, 0.8%), ankylosing spondylitis (n = 1, 0.8%), depression (n = 1, 0.8%), and panic attack (n = 1, 0.8%) (Table 2).
Table 2.

Comparison of baseline values of groups according to severity of comorbidity.a

ParametersGroup 1Group 2Group 3 p b
(n = 54)(n = 41)(n = 25)
Age (year)66 (62, 72)64 (55, 70)63 (60, 69)0.084
Duration of the disease (year)7 (4, 2)10 (5, 11)6 (3, 10)0.582
Smoking (p* year)60 (50, 80)50 (23, 60)55 (40, 80)0.103
BMI (kg/m2)26 (23, 30)30 (25, 33)24 (22, 80)0.037
Males, n (%)48 (88.9)34 (82.9)20 (80.0)0.155
COPD stage, n (%)
 Stage 13 (5.6)
 Stage 221 (38.9)16 (39.0)10 (40.0)0.572
 Stage 321 (38.9)15 (36.6)11 (44.0)
 Stage 49 (16.7)10 (24.4)4 (16.0)
Long-term oxygen therapy, n (%)6 (11.1)9 (22.2)4 (16.0)0.484
Noninvasive mechanical ventilation, n (%)2 (3.7)7 (17.1)3 (12.0)0.018
Comorbid condition
 Hypertension, n (%)27 (50.0)12 (29.3)0 (0.0)
 Diabetes mellitus, n (%)0 (0.0)12 (29.3)5 (20.0)
 Lung cancer, n (%)0 (0.0)0 (0.0)11 (44.0)
 Other cancer, n (%)0 (0.0)0 (0.0)6 (24.0)
 Coronary artery disease, n (%)0 (0.0)10 (20.4)2 (8.0)
 Osteoporosis, n (%)10 (18.5)1 (2.4)1 (4.0)
 Osteoarthritis, n (%)5 (9.2)3 (7.3)0 (0.0)
 Ankylosing spondylitis, n (%)1 (1.8)0 (0.0)0 (0.0)
 Goiter, n (%)5 (9.2)2 (4.8)0 (0.0)
 Benign prostatic hyperplasia, n (%)4 (7.4)1 (2.4)0 (0.0)
 Depression, n (%)1 (1.8)0 (0.0)0 (0.0)
 Panic attack, n (%)1 (1.8)1 (2.4)1 (4.0)
Emergency admission (n/last year)0 (0, 1)0 (0, 2)0 (0.1)0.889
Hospitalization (n/last year)0 (0, 0)0 (0, 0)0 (0.1)0.359
Respiratory function test
 FEV1 (%)46 (33, 63)36 (30, 60)42 (34, 59)0.389
 FEV1/FVC58 (61, 67)62 (51, 70)63 (49, 70)0.718
 TLCO (%)37 (25, 49)37 (25, 61)33 (18, 50)0.893
Arterial blood gas
 PaO2 (mmHg)71 (65, 78)70 (63, 80)74 (67, 84)0.375
 PACO2 (mmHg)40 (38, 46)42 (38, 46)39 (36, 45)0.428
 SaO2 (%)94 (93, 96)94 (92, 96)95 (94, 96)0.501
6-MWT (m)330 (273, 433)310 (232, 385)360 (290, 405)0.033
MMRC3 (2, 4)3 (3, 4)4 (3, 4)0.475
SGRQ
 Symptom59 (43, 77)62 (41, 71)61 (36, 62)0.480
 Activity67 (54, 90)67 (54, 93)66 (45, 79)0.061
 Impact53 (31, 74)44 (33, 68)42 (19, 57)0.110
 Total57 (43, 79)54 (41, 73)43 (29, 62)0.151
SF-36
 Physical function45 (20, 70)50 (30, 66)35 (20, 64)0.728
 Social function63 (25, 88)63 (47, 88)63 (41, 97)0.500
 Physical role0 (0, 50)0 (0, 50)0 (0, 75)0.927
 Emotional role33 (0, 67)17 (0, 100)33 (0, 100)0.598
 General41 (21, 63)30 (20, 49)49 (26, 55)0.168
 Mental64 (39, 80)64 (52, 76)72 (50, 79)0.446
 Pain61 (33, 84)42 (32, 73)67 (44, 96)0.131
 Vitality45 (23, 70)50 (39, 56)58 (46, 75)0.150
HADa8 (4, 14)7 (5, 10)7 (3, 12)0.513
HADd7 (5, 11)7 (5, 9)4 (2, 8)0.121

FEV1: forced expiratory volume in 1 second; FVC: forced vital capacity; TLCO: carbon monoxide diffusion capacity; PaO2: partial arterial oxygen pressure; PaCO2: partial arterial carbon dioxide pressure; SaO2: arterial saturation; MMRC: Modified Medical Research Council; SGRQ: St George Respiratory Questionnaire; SF-36: 36 Item Short Form Survey; HADa: Hospital Anxiety Depression anxiety score; HADd: Hospital Anxiety Depression depression score; BMI: body mass index; 6-MWT: 6-minute walk test.

a Data are presented as median (interquartile range) or percentage (%).

b Kruskal-Wallis H Test and χ2 Square Test.

*Mann–Whitney U test.

Comparison of baseline values of groups according to severity of comorbidity.a FEV1: forced expiratory volume in 1 second; FVC: forced vital capacity; TLCO: carbon monoxide diffusion capacity; PaO2: partial arterial oxygen pressure; PaCO2: partial arterial carbon dioxide pressure; SaO2: arterial saturation; MMRC: Modified Medical Research Council; SGRQ: St George Respiratory Questionnaire; SF-36: 36 Item Short Form Survey; HADa: Hospital Anxiety Depression anxiety score; HADd: Hospital Anxiety Depression depression score; BMI: body mass index; 6-MWT: 6-minute walk test. a Data are presented as median (interquartile range) or percentage (%). b Kruskal-Wallis H Test and χ2 Square Test. *Mann–Whitney U test. When the baseline demographic and clinical features of the groups were compared, data for age, gender, disease duration, COPD stage, amount of cigarette consumption, emergency admission and hospitalization in the last year, and number of patients using long-term oxygen therapy were similar (p > 0.05, Table 2). Patients in the group 2 had higher BMI than group 1 (p < 0.001, Table 2). In addition, the number of patients using noninvasive mechanical ventilation was significantly higher in group 2 (p = 0.037, Table 2). The groups were similar in terms of pulmonary function tests, arterial blood gas results, MMRC dyspnea scores, overall and disease-specific quality of life subscores, anxiety, and depression (p > 0.05, Table 2). The median value of 6-MWD was lower in group 2 than the other groups (p = 0.033). After PR, median FEV1% were significantly increased only in group 2 (p = 0.017, Table 3), no significant change was detected in none of the pulmonary function test parameters in group 3 (p > 0.05, Table 3). PaO2, SaO2, 6-MWD, dyspnea perception, anxiety, and many parameters in the SGRQ and in the SF-36 questionnaire were significantly improved in all three groups (p < 0.05, Table 3).
Table 3.

Results of the groups before and after PR.a

ParameterGroup 1 (n = 54)Group 2 (n = 41)Group 3 (n = 25)
B-PRA-PR p b B-PRA-PR p b B-PRA-PR p b
RFT
 FEV1 (%)46 (33, 63)48 (35, 61)0.23936 (30, 60)40 (31, 65)0.01742 (34, 59)42 (35, 62)0.210
 FEV1/FVC58 (61, 67)58 (49, 65)0.66762 (51, 70)61 (48, 71)0.96563 (49, 70)62 (49, 72)0.484
 TLCO (%)37 (25, 49)39 (24, 48)0.58237 (25, 61)43 (33, 57)0.22633 (18, 50)33 (19, 45)0.780
ABG
 PaO2 (mmHg)71 (65, 78)76 (66, 85)0.00170 (63, 80)79 (71, 83)0.00274 (67, 84)77 (68, 89)0.026
 PaCO2 (mmHg)40 (38, 46)41 (38, 45)0.54542 (38, 46)42 (39, 47)0.62739 (36, 45)39 (34, 45)0.248
 SaO2 (%)94 (93, 96)95 (94, 97)0.00394 (92, 96)96 (94, 97)0.01095 (94, 96)97 (93, 97)0.010
6-MWT (m)330 (273, 433)380 (300, 470)<0.001310 (232, 385)370 (303, 420)<0.001360 (290, 405)400 (345, 440)<0.001
MMRC3 (2, 4)3 (2, 3)<0.0013 (3, 4)2 (2, 3)<0.0014 (3, 4)3 (2, 3)<0.001
SGRQ
 Symptom59 (43, 77)46 (37, 62)<0.00162 (41, 71)46 (32, 64)0.00161 (36, 62)37 (22, 47)0.050
 Activity67 (54, 90)60 (48, 87)0.01167 (54, 93)54 (42, 67)<0.00166 (45, 79)55 (42, 72)0.078
 Impact53 (31, 74)32 (23, 59)<0.00144 (33, 68)31 (22, 44)<0.00142 (19, 57)23 (11, 52)0.025
 Total57 (43, 79)46 (34, 69)<0.00154 (41, 73)39 (32, 50)<0.00143 (29, 62)37 (25, 57)0.006
SF-36
 Physical function.45 (20, 70)60 (30, 80)<0.00150 (30, 66)65 (49, 80)0.00135 (20, 64)65 (35, 80)0.002
 Social function.63 (25, 88)75 (50, 100)0.00663 (47, 88)75 (63, 100)0.00863 (41, 97)100 (63, 100)0.183
 Physical role0 (0, 50)50 (0, 100)0.0010 (0, 50)50 (25, 100)0.0010 (0, 75)50 (25, 100)0.027
 Emotional role33 (0, 67)33 (0, 100)0.11717 (0, 100)67 (33, 100)0.05933 (0, 100)67 (0, 100)0.298
 General41 (21, 63)55 (30, 76)0.00130 (20, 49)52 (29, 69)<0.00149 (26, 55)52 (25, 67)0.133
 Mental64 (39, 80)68 (48, 82)0.05964 (52, 76)74 (64, 84)0.00572 (50, 79)76 (60, 80)0.059
 Pain61 (33, 84)72 (42, 90)0.02842 (32, 73)74 (59, 90)<0.00167 (44, 96)84 (72, 90)0.045
 Vitality45 (23, 70)55 (45, 75)0.00150 (39, 56)60 (50, 75)<0.00158 (46, 75)80 (50, 85)0.002
HADa8 (4, 14)6 (3, 9)<0.0017 (5, 10)6 (3, 7)0.0017 (3, 12)6 (3, 8)0.046
HADd7 (5, 11)7 (4, 8)0.0067 (5, 9)5 (3, 9)0.0114 (2, 8)4 (2, 8)0.147

RFT: respiratory function test; ABG: arterial blood gas; FEV1: forced expiratory volume in 1 second; FVC: forced vital capacity; TLCO: carbon monoxide diffusion capacity; PaO2: partial arterial oxygen pressure; PaCO2: partial arterial carbon dioxide pressure; SaO2: arterial saturation; MMRC: Modified Medical Research Council; SGRQ: St George Respiratory Questionnaire; SF-36: 36 Item Short Form Survey; HADa: Hospital Anxiety Depression anxiety score; HADd: Hospital Anxiety Depression depression score; 6-MWT: 6-minute walk test; PR: pulmonary rehabilitation.

a Data are presented as median (interquartile range).

b Wilcoxon signed-ranks test.

Results of the groups before and after PR.a RFT: respiratory function test; ABG: arterial blood gas; FEV1: forced expiratory volume in 1 second; FVC: forced vital capacity; TLCO: carbon monoxide diffusion capacity; PaO2: partial arterial oxygen pressure; PaCO2: partial arterial carbon dioxide pressure; SaO2: arterial saturation; MMRC: Modified Medical Research Council; SGRQ: St George Respiratory Questionnaire; SF-36: 36 Item Short Form Survey; HADa: Hospital Anxiety Depression anxiety score; HADd: Hospital Anxiety Depression depression score; 6-MWT: 6-minute walk test; PR: pulmonary rehabilitation. a Data are presented as median (interquartile range). b Wilcoxon signed-ranks test. When the gains of the groups after PR were compared, there were no significant differences between groups according to the changes in PR outcomes (p > 0.05, Table 4).
Table 4.

Comparison of the improvements of the groups after PR.a

ParametersGroup 1 (n = 54)Group 2 (n = 41)Group 3 (n = 25) p b
Respiratory function test
 ΔFEV1 (%)1 (−3, 6)2 (−2, 8)0 (−3, 7)0.349
 ΔFEV1/FVC−1 (−5, 6)1 (−5, 6)1 (−4, 3)0.798
 ΔTLCO (%)2 (−8, 9)0 (−5, 12)1 (−7, 5)0.764
Arterial blood gas
 PaO2 5 (0, 11)6 (−2, 12)4 (−1, 8)0.603
 PaCO2 0 (−4, 2)0 (−4, 2)−2 (−4, 2)0.737
 SaO2 1 (0, 2)1 (−1, 3)1 (0, 2)0.927
Δ6-MWT (m)40 (20, 73)40 (20, 83)50 (20, 80)0.984
ΔMMRC−1 (−1, 0)−1 (−2, 0)−1 (−1, 0)0.366
SGRQ
 ΔSymptom−9 (−18, −3)−8 (−15, 1)−4 (−10, 4)0.285
 ΔActivity−6 (−13, 0)−7 (−27, 0)−4 (−20, 4)0.118
 ΔImpact−11 (−22, −3)−14 (−26, 0)−8 (−15, −1)0.271
 ΔTotal−8 (−17, −2)−11 (−25, −4)−5 (−13, −2)0.468
SF-36
 ΔPhysical Function10 (−3, 23)15 (0, 31)10 (0, 30)0.422
 ΔSocial Function13 (0, 31)6 (0, 25)13 (0, 25)0.973
 ΔPhysical Role0 (0, 50)25 (0, 50)0 (0, 50)0.532
 ΔEmotional Role0 (0, 33)0 (−8, 67)0 (0, 33)0.720
 ΔGeneral6 (0, 25)13 (4, 29)5 (0, 22)0.279
 ΔMental4 (−8, 22)8 (−4, 24)4 (0, 16)0.673
 ΔPain10 (0, 21)19 (0, 33)0 (0, 28)0.078
 ΔVitality10 (−5, 25)15 (0, 26)10 (0, 25)0.283
ΔHADa−2 (−5, 0)−2 (−4, 0)−2 (−3, 1)0.676
ΔHADd−1 (−3, 1)−2 (−4, 1)0 (−4, 0)0.947

Δ: Change from before to after pulmonary rehabilitation; FEV1: forced expiratory volume in 1 second; FVC: forced vital capacity; TLCO: carbon monoxide diffusion capacity; PaO2: partial arterial oxygen pressure; PaCO2: partial arterial carbon dioxide pressure; SaO2: arterial saturation; MMRC: Modified Medical Research Council; SGRQ: St George Respiratory Questionnaire; SF-36: 36 Item Short Form Survey; HADa: Hospital Anxiety Depression anxiety score; HADd: Hospital Anxiety Depression depression score; 6-MWT: 6-minute walk test; PR: pulmonary rehabilitation.

a Data are presented as median (interquartile range).

b Kruskal Wallis H Test.

Comparison of the improvements of the groups after PR.a Δ: Change from before to after pulmonary rehabilitation; FEV1: forced expiratory volume in 1 second; FVC: forced vital capacity; TLCO: carbon monoxide diffusion capacity; PaO2: partial arterial oxygen pressure; PaCO2: partial arterial carbon dioxide pressure; SaO2: arterial saturation; MMRC: Modified Medical Research Council; SGRQ: St George Respiratory Questionnaire; SF-36: 36 Item Short Form Survey; HADa: Hospital Anxiety Depression anxiety score; HADd: Hospital Anxiety Depression depression score; 6-MWT: 6-minute walk test; PR: pulmonary rehabilitation. a Data are presented as median (interquartile range). b Kruskal Wallis H Test. As shown in Table 5, there was no significant difference in the number of patients reaching the minimal clinically important difference (MCID) between the groups.
Table 5.

Patients with positive response (MCID) to PR in terms of improvement in exercise tolerance, dyspnea, and quality of life.a

ImprovementsAll patientsGroup 1Group 2Group 3 p
(n = 120)(n = 54)(n = 41)(n = 25)
6-MWD
 >30 m83 (69.2)37 (68.5)28 (68.3)18 (72.0)0.942
 <30 m37 (30.8)17 (31.5)13 (31.7)7 (28.0)
SGRQ total score
 >483 (69.2)37 (68.5)30 (73.2)16 (64.0)0.729
 <437 (30.8)17 (31.5)11 (26.8)9 (36.0)
MMRC score
 >185 (70.8)36 (66.7)29 (70.7)20 (80.0)0.479
 <135 (29.2)18 (33.5)12 (29.3)5 (20.0)
Overall
 Yes71 (59, 2)35 (64.8)21 (51.2)15 (60.0)0.408
 No49 (40, 8)19 (35.2)20 (48.8)10 (40.0)

SGRQ: St. George Respiratory Questionnaire; MMRC: Modified Medical Research Council dyspnea scale; MCID: Minimum clinically important difference; 6-MWD: 6-minute distance; PR: pulmonary rehabilitation.

a Data are presented as n (%).

b Chi-Square test.

Patients with positive response (MCID) to PR in terms of improvement in exercise tolerance, dyspnea, and quality of life.a SGRQ: St. George Respiratory Questionnaire; MMRC: Modified Medical Research Council dyspnea scale; MCID: Minimum clinically important difference; 6-MWD: 6-minute distance; PR: pulmonary rehabilitation. a Data are presented as n (%). b Chi-Square test.

Discussion

In our study which we aimed to determine the effect of comorbidity on PR outcomes in COPD patients, we found that gains of PR were not related to comorbidity severity. When we compared the gains of PR between all groups, we observed that the improvements were similar in patients with different severity of comorbidities. The results of our study are similar to some studies in the literature. In a previous study by Tunsupon et al., patients were classified according to their number of comorbidities and the results showed that the number of comorbidities had little effect on the gains after PR. Moreover, in that study, there was no difference in the number of comorbidities between those reaching and not reaching the MCID in 6-MWD and in the disease-specific quality of life scores.[13] In the two other studies which used the same grouping, similar improvements were obtained in all groups after PR. From these studies, Hassan et al. stated that the number of comorbidities between responders and nonresponders for 6-MWD, MMRC, SGRQ, and VO2max measured after PR did not differ.[3,23] In another study by Higashimoto et al., it has been shown that the individual comorbidities have no relation to the PR results and PR has equal efficacy in young and elderly patients with COPD.[24] In contrast to our results, Crisafulli concluded that exercise tolerance and quality of life in COPD patients might be reduced due to comorbidity, and the CCI score was negatively correlated with the 6-MWD increase.[4] In many studies examining the effect of comorbidity on PR outcomes in COPD patients, they grouped patient according to the number of comorbidities as with no comorbidity, with only one comorbidity and with two or more comorbidities.[3,4,13,23] Unlike other studies, we examined the effect of comorbidity severity on PR outcomes. For this aim, we used the CCI that is a reliable, valid, and well correlated with mortality.[14] This index scores the severity of comorbidities of patients in the framework of certain diagnoses. However, pathologies such as hypertension, osteoporosis, goiter, and loss of muscle strength which are very common in the clinic are skipped in this scoring. In our study, although patients had additional comorbidities, they were not scored. When using such a scoring system, we show that the PR gains are independent of the severity of the comorbidity, so it might be more appropriate to interpret the effect and gains according to the systemic effects of the types of the comorbidities. In one form of the CCI, a point is added for every decade over the age of 40, so the CCI score increased with the advancing age.[25] When we include age in the calculation, the groups were separated into older and younger rather than the burden of comorbidities. Therefore, in our study, we thought that this form was not appropriate for grouping and not included age to the calculation because the age would affect the results of PR. Extrapulmonary comorbidities are very common in COPD patients, and they usually have important effects on symptoms, exacerbations, hospital admissions, and mortality.[26] Systemic inflammation may be responsible for the concurrence of COPD and comorbidities.[10,26] Moreover, physical inactivity plays an important role in this concurrence.[10] Also, smoking, socioeconomic status, and occupational exposure are the common causes of COPD and accompanying comorbidities.[27] In our study, we first examined the data of patients with and without comorbidities, and we found that the exercise capacity of the patients with at least one comorbidity was worse. Besides, patients with comorbidity had a higher age and disease duration. This supported the idea that comorbidities were related to increasing age and pathophysiology of COPD leading to an increase in functional disability.[27-30] In many studies, 6-MWD was found to be significantly lower in patients with two or more comorbidities.[4,8] In our study, the walking distance was significantly lower in the group with intermediate comorbidity index scores (CCI score = 1) compared to the group with low comorbidity index score. We think that this is because of the number of patients with different comorbid conditions as diabetes mellitus, coronary artery disease, and higher BMI. Moreover, one of the reasons for the high functional scores of the group with high comorbidity severity might be that it was not in the active periods of cancer patients and the clinical conditions were under control. When we analyzed the distribution of disease stage among the groups in our study, especially in the comorbid group, stage 2 patients were intensive. This may be the answer to the question of why obstruction and TLCO ratio are higher in the comorbid group, although FEV1% values are similar. In fact our results about the distribution of disease states are consistent with the some new literature, which stated that comorbidity can occur in patients with any degree of airflow limitation and is not restricted to patients with advanced COPD. The excessive number or severity of comorbidity cannot always be explained by poorer physical or respiratory function and GOLD stage is not an independent predictor of comorbidity.[9,16] In COPD patients, the results of the comorbidity effect on quality of life are contradictory.[4,29,31] In our study, we observed that the quality of life did not change with the presence of comorbidity and its severity. We think that the reason for this is the development of patients’ compliance with chronic comorbidities and especially the difficulties experienced by COPD are similar. The most frequent comorbidities seen with COPD are cardiovascular diseases being in the first place, followed by metabolic diseases, osteoarticular, and oncological disease.[4,27-30] There was at least one comorbidity in 56.3% of our patients in this study. Similar to the literature, the first five comorbidities seen together with COPD in our study are hypertension, coronary artery disease, osteoporosis, diabetes mellitus, and lung cancer. In our PR unit, a detailed medical history is taken and comorbid conditions are questioned and, a detailed cardiac examination is performed for patient safety before the PR program. For this reason, the possibility of omitting the comorbid conditions in the index which we used in our patient records is very low. One of the most important limitations of our retrospective study might be the omission of diagnosis of osteoporosis which is not examined by bone mineral density even though it is questioned in patient interviews. However, we think that osteoporosis does not affect the results because it is not included in comorbidity severity calculation. In this study, walking distance was significantly increased and dyspnea perception was significantly decreased in all groups after PR. While significant improvements were observed for FEV1% in group 2, no significant improvement was detected in any of the respiratory function parameters in the others. Although the difference was not significant, in group 2, FEV1% was lower and the number of stage 4 patients was higher than the other groups before PR. Therefore, the result that FEV1% gain after PR is only significant in group 2 could be explained by the view that the patients with worse respiratory functions benefit more from the PR program. We thought that the FEV1% gain was associated with the PR program because all patients participating in the study were receiving bronchodilator therapy and no changes were made in medical treatment during the PR program. When we evaluated our results by considering the minimal clinical significance levels, we found that in all three groups, walking distance gain over 30 metrics, change of MMRC dyspnea scale more than 1 unit and a decrease of 4 units of SGRQ quality of life total score in the majority of patients. In general, 60% of the patients showed improvement in all scores. Again, in this analysis, we concluded that the severity of comorbidity did not lead to a significant difference for the positive response. Consequently, this study shows that COPD patients benefit from PR independent from their comorbidity severity. Therefore, we believe that all patients with different severity comorbidities should not be excluded from PR programs and encouraged to participate.
  26 in total

Review 1.  Extrapulmonary comorbidities in chronic obstructive pulmonary disease: state of the art.

Authors:  Anant R C Patel; John R Hurst
Journal:  Expert Rev Respir Med       Date:  2011-10       Impact factor: 3.772

2.  American Thoracic Society/European Respiratory Society statement on pulmonary rehabilitation.

Authors:  Linda Nici; Claudio Donner; Emiel Wouters; Richard Zuwallack; Nicolino Ambrosino; Jean Bourbeau; Mauro Carone; Bartolome Celli; Marielle Engelen; Bonnie Fahy; Chris Garvey; Roger Goldstein; Rik Gosselink; Suzanne Lareau; Neil MacIntyre; Francois Maltais; Mike Morgan; Denis O'Donnell; Christian Prefault; Jane Reardon; Carolyn Rochester; Annemie Schols; Sally Singh; Thierry Troosters
Journal:  Am J Respir Crit Care Med       Date:  2006-06-15       Impact factor: 21.405

Review 3.  The importance of components of pulmonary rehabilitation, other than exercise training, in COPD.

Authors:  Kylie Hill; Ioannis Vogiatzis; Chris Burtin
Journal:  Eur Respir Rev       Date:  2013-09-01

Review 4.  Comorbidities of COPD.

Authors:  Arnaud Cavaillès; Graziella Brinchault-Rabin; Adrien Dixmier; François Goupil; Christophe Gut-Gobert; Sylvain Marchand-Adam; Jean-Claude Meurice; Hugues Morel; Christine Person-Tacnet; Christophe Leroyer; Patrice Diot
Journal:  Eur Respir Rev       Date:  2013-12

5.  Comorbidities in Patients With Chronic Obstructive Pulmonary Disease and Pulmonary Rehabilitation Outcomes.

Authors:  Pichapong Tunsupon; Ashima Lal; Mohammed Abo Khamis; M Jeffery Mador
Journal:  J Cardiopulm Rehabil Prev       Date:  2017-07       Impact factor: 2.081

6.  Role of comorbidities in a cohort of patients with COPD undergoing pulmonary rehabilitation.

Authors:  E Crisafulli; S Costi; F Luppi; G Cirelli; C Cilione; O Coletti; L M Fabbri; E M Clini
Journal:  Thorax       Date:  2008-01-18       Impact factor: 9.139

7.  [Validity and reliability of Turkish version of St. George's respiratory questionnaire].

Authors:  Mehmet Polatlı; Arzu Yorgancıoğlu; Ömer Aydemir; Nilgün Yılmaz Demirci; Gamze Kırkıl; Sibel Atış Naycı; Nurdan Köktürk; Atilla Uysal; Selim Erkan Akdemir; Eylem Sercan Özgür; Gonca Günakan
Journal:  Tuberk Toraks       Date:  2013

8.  Influence of comorbidities on the efficacy of pulmonary rehabilitation in patients with chronic obstructive pulmonary disease.

Authors:  Yuji Higashimoto; Toshiyuki Yamagata; Kazushige Maeda; Noritsugu Honda; Akiko Sano; Osamu Nishiyama; Hiroyuki Sano; Takashi Iwanaga; Yasutaka Chiba; Kanji Fukuda; Yuji Tohda
Journal:  Geriatr Gerontol Int       Date:  2015-08-05       Impact factor: 2.730

9.  Prevalence of different comorbidities in COPD patients by gender and GOLD stage.

Authors:  R W Dal Negro; L Bonadiman; P Turco
Journal:  Multidiscip Respir Med       Date:  2015-08-05

10.  Lung function indices for predicting mortality in COPD.

Authors:  Afroditi K Boutou; Dinesh Shrikrishna; Rebecca J Tanner; Cayley Smith; Julia L Kelly; Simon P Ward; Michael I Polkey; Nicholas S Hopkinson
Journal:  Eur Respir J       Date:  2013-01-24       Impact factor: 16.671

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1.  Tailored or adapted interventions for adults with chronic obstructive pulmonary disease and at least one other long-term condition: a mixed methods review.

Authors:  Emma J Dennett; Sadia Janjua; Elizabeth Stovold; Samantha L Harrison; Melissa J McDonnell; Anne E Holland
Journal:  Cochrane Database Syst Rev       Date:  2021-07-26
  1 in total

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