Effect of Rehabilitation Protocol on Dyspnea and Fatigue for Patients with Chronic Obstructive Pulmonary Disease

Document Type : Original articles

Authors

1 Clinical Demonstrate Medical Surgical Department Faculty of Nursing, Minia University, Egypt.

2 Assistant Professor of Chest Faculty of Medicine Minia University, Egypt.

3 Assistant Professor of Medical Surgical Department Faculty of Nursing, Minia University, Egypt.

4 Lecturer of Critical Care Nursing Department Faculty of Nursing, Minia University, Egypt.

Abstract

Background: Pulmonary Rehabilitation (PR) is corner stone in management of chronic obstructive pulmonary disease (COPD). PR is an effective therapy in the integrated care of the patient with chronic respiratory disease. Exercise-based pulmonary rehabilitation has proven to reduce subjective dyspnea, fatigue, exacerbations and frequency for re-hospitalization. Aim of the study: evaluate the effect of rehabilitation protocol on reducing dyspnea and fatigue for Patients with COPD. Research Design:  Quasi-experimental research design was utilized in the current study. Setting: The current study was carried out in Inpatient Chest Department and follow up in the Chest Outpatient Clinic at Cardiothoracic Hospital. Sample: A Purposive sample of (66) patients (male and female adult) were assigned in the current study, they classified in two equal groups (n= 33) for a control group and (n= 33) for study group. Tool: Three tools were utilized to collect to current study, First tool: Interview Questioner and Medical Data Sheet, Second tool: COPD Assessment Test (CAT) and Third tool: Respiratory Assessment Sheet. Results: There were highly statistically significant differences among both study and control group regarding Modified Medical Research Council Dyspnea Scale MMRC in 6th and 8th week observations. Conclusions: The study findings concluded that dyspnea and fatigue have negatively effect on patient with COPD. Short term pulmonary rehabilitation program has improved exercise capacity, pulmonary function in COPD patients. Recommendation: Increased patient understanding about COPD risk parameters. Booklet of comprehensive health education program for patients with COPD. Home-based pulmonary rehabilitation follow up, including regular contact to facilitate exercise participation and progression.

Highlights

1Manal M. F. Ismael, 2Nezar Refat Tawfek, 3 Lobna Mohamed Gamal, 4 Marwa Mohamed Abdelbaky

Clinical Demonstrate Medical Surgical Department Faculty of Nursing, Minia University, Egypt.

Assistant Professor of Chest Faculty of Medicine Minia University, Egypt.

Assistant Professor of Medical Surgical Department Faculty of Nursing, Minia University, Egypt.

Lecturer of Critical Care Nursing Department Faculty of Nursing, Minia University, Egypt.

Keywords


Introduction

Chronic obstructive pulmonary disease (COPD) is a common, preventable and treatable disease characterized by persistent respiratory symptoms and airflow limitation (Polverino, E etal., 2017).  . It is a heterogeneous disease with multiple phenotypes, thus different COPD phenotypes could be associated with different clinical features, prognostic and therapeutic ramification ( Gao, J, 2018).

COPD is projected to be the 3rd leading cause of death in the world By 2020, Global Initiative for Chronic Obstructive Lung Disease (Gao, J2018).About 3.17 million people died from COPD by the year of 2015 accounting for 6% of all deaths globally (Vozoris etal., 2017).

Patients with COPD frequently experience multiple symptoms in addition to airflow   limitation including dyspnea, cough, sputum production, fatigue, pain, and sleeplessness (Miravitlles& Ribera (2017).Dyspnea is the most frequently reported symptom in patients with moderate and severe COPD (Miravitlles, et al 2018). Dyspnea is a subjective experiences that can only be measured from the patient’s perceptions, because every person have different thresholds for noticing, reporting, and rating the severity of these symptoms (Mi, E., Ewing, G.et al 2018).

 COPD diagnosis should be considered in any patient who has shortness of breath, chronic cough or phlegm, and history of exposure to the risk factors of the disease ( Vogelmeier, etal 2017).

Pulmonary rehabilitation is defined as a “comprehensive intervention based on a thorough patient assessment followed by patient-tailored therapies, which include, but are not limited to, exercise training, education and behavior change, designed to improve the physical and psychological condition of people with chronic respiratory disease and to promote the long-term adherence to health-enhancing behaviors( Vitacca.,etal,2018).

Pulmonary rehabilitation PR is  designed  to  reduce  the  symptoms  of  COPD,  improve  health  related quality of life (HRQoL), improve and re-establish functional ability, enhance participation in everyday life and promote patient autonomy. The exercise component of pulmonary rehabilitation increases inspiratory volume and reduces dynamic hyperinflation, both of which reduce dyspnea when a person is performing tasks. Exercise also increases muscle function,  which  delays  fatigue  and  results  in  increased  exercise  tolerance (Casey,etal., (2018).

The respiratory nurse has an important role in the assessment and delivery of pulmonary rehabilitation. The training, expert knowledge, and skills of respiratory nurses allow them undertake multidimensional assessment and to work with patients to tailor specific therapeutic interventions and to coordinate the delivery of person centered care. Respiratory nurses in particular have an important role in the provision of patient education and self-management, symptom management and monitoring, and primary and secondary prevention strategies to improve health and prevent deterioration (Yawn, B. B., et al 2017).            

 

Aim of the Study:

To evaluate the effect of rehabilitation protocol on dyspnea and fatigue level for patients with chronic obstructive pulmonary disease.

 

Research Hypothesis:

Application of rehabilitation protocol will be reduce dyspnea and fatigue level for patients with chronic obstructive pulmonary disease.

 

Research Design:

A quasi-experimental research design was utilized in the current study.

 


 

Setting:

The current study was carried out in inpatient Chest Department and follow up in the Chest Outpatient Clinic at Cardiothoracic Hospital.

The inpatient chest department is located at the first floor. It is consists of four rooms each room contains of 8-10 beds, two for adult male and two for the adult female. The chest outpatient clinic is located at the first floor, it include one room for examination.

 

Sample:

A purposive sample of (66) patients (male and female adult) were assigned in the current study, they classified in two equal groups (n= 33) for a control group and (n= 33) for study group.

 

Study Duration:

The study data collections were collected over a period of eight months starting from July 2017 to February 2018.

 

Data Collection Tools:

Data were collected through three tools:

 First Tool: Interview Questioner and Medical Data Sheet: It includes two parts:

  • First Part: Covers patient socio-demographic data as (age, marital status, occupation).
  • Second Part: Patient medical history sheet covers (past and present history, family history, and smoking).

 

Second Tool: COPD Assessment Test (CAT)

This test used to assess the effect of COPD on patient’s wellbeing and activity level. Adopted from Paul W.  Jones (2009). It includes 8 simple questions. The total scoring system for each question ranged from (0) to (5). The CAT has a total scoring ranged from  0-40 ,scores below 5 indicate low effect of COPD on patient’s wellbeing and activity of daily living ,but when it was higher  than 30 it indicated very high impact of COPD on  patient’s wellbeing and daily level of activity.

It was applied on both groups (study & control) through three observations carried out at the 2nd week, 6th week, and finally 8th week

 

Third Tool: Respiratory Assessment Sheet: included three parts.

1st Part: Pulmonary function test (Yawn, B. B., et al 2017)

These classification based on post-bronchodilator Forced Expiratory Volume FEV1.  The severity rank from mild FEV1 ≥ 80% predicted to very sever Forced Expiratory Volume FEV1 <30 %  predicted.

2nd Part:- The Modified Medical Research Council Dyspnea Scale (MMRC).

This scale is a simple grading system used to assess a patient's dyspnea level   (shortness of breath). Adopted from Fletcher et al (1959). (MMRC) scale total score ranked from 0 to 4, score (0) indicates (breathless with strenuous exercise.) but score (4) indicates (breathless when dressing) ( Bagade, A. A.,etal2017).

 3rd Part:- Six-Minute Walk Test (6MWT) ( Andrianopoulos, V., et al 2015 )

The test used to assesses the submaximal level of functional capacity for COPD patient for both groups. This test measures the distance that a patient can quickly walk on a flat, hard surface in a period of 6 minutes (the 6MWD). The following parameters Modified Medical Research Council Dyspnea Scale Dyspnea scale (MMRC),Blood Oxygen Saturation (SPO2) and Heart rate recorded at the starting and ending of the test. Patient can stop the test if he has these  manifestation (dyspnea, fatigue, increase heart rate, chest pain or angina-like symptoms, Persistent SPO2 <85%.This test also applied on both groups (study & control) through three observations at (2nd week on in patient department, and 6th week, 8th week during follow at outpatient clinic.

 The rehabilitation protocol includes the following (Breathing and Physical Exercise) that used for reducing dyspnea and fatigue level for COPD patient.

 

Validity

The developed tools content were examined by a panel of five experts, four in the field of Medical Surgical Nursing Department in Nursing Faculty at Minia University for testing validity.

 

Reliability

The tools were designed in final format and tested for reliability by using, cronbach’s alpha coefficient test (0.96, 0.71 and 0.68) respectively.

 

Pilot Study

A pilot study was carried out on approximately (10 % ) of the study sample in a selecting  setting to evaluate  the applicability & clarity and feasibility of the study tool and to estimate the time needed for filling the tool  .The pilot study sample  was included in the study sample because no modification done in the study tools.

 

Ethical Consideration:

An official permission to conduct the study was obtained from the ethical committee of the Faculty of Nursing, Dean of Nursing Faculty, Minia University Hospital Director, Research Center Afflicted to Egypt Ministry of Health and agreement from Egypt Academic for Research Center and Technology. subject's participation in this study were voluntary, patients were informed about the purpose, procedure, benefits, nature of the study, follow up, and he /she has the right to withdraw from the study at any time without any rationale. Confidentiality and anonymity of each subject were ensured through coding of all data and protecting the obtained data. Oral consents were obtained from subjects.

 

Procedure (Techniques for Data Collection):

The current study was conducted after preparing of the different data collection tools, in addition obtaining formal paper agreement which was taken induration one month before conducting the study. Collection of study data was done through daily basis every day at first two weeks after  patients admission and after their condition become stable  during morning  and evening shift at  inpatient chest department, each patient follow up once  per week after discharge from hospital (during follow up)at outpatient chest clinics.

Patient who was scheduled for rehabilitation exercise was informed by the investigator individually about purpose and nature of the study, then investigator obtained oral consent from those who accepted to participate in this study.  The investigator has started data collection from control group firstly in four months by using the first, second and third tool then  data collection from  the study group was carried out  after finishing the  control group  using the first, second, third tool and educational exercise bourcher.

The total number of sessions for data collection & training patient of the study group was 2-3 sessions per week. Duration of each session was ranged from 20 to 30 minutes.

The rehabilitation protocol included education about breathing and physical exercises .these applied to the study group patients at the chest department. The investigator performed both group of exercise firstly and lets the patient to apply it. Evaluated patients to ensure their competence in this practice at outpatient clinic (during follow up). The rehabilitation protocol was started from the first day after admission and patient’s condition become stable using the  specific exercises ,breathing exercise (pursed lip breathing ,diaphragmatic breathing) and physical exercise includes (anaerobic strength and stretch exercise) .patients was given a photo brochure prepared by investigator after extensive literature review . The photo brochure included both groups of exercises; breathing exercise and physical exercise. Also, instructions regard duration and frequency. To ensure that the patients perform these exercises accurately after their hospital discharge and at home.

Follow-up for all patients (study &control) started at the week 6th, and 8th) through face to face interview to evaluate the dyspnea and fatigue level.  Also, investigator encouraged patients of the study group to attend follow-up through offered a free medication as doctor order without any payment from them.

 

Statistical Analysis:

Data were organized, tabulated, and presented using descriptive statistics in the form of frequency distribution, percentages, means and the standard deviations as a measure of dispersion. A statistical package for the social science (SPSS) version (20) was used for statistical analysis of the data). Numerical data were expressed as mean and SD. Data were collected, tabulated and statistically analyzed using Chi-square &Fisher test. Probability (P-value) is the degree of significance, less than 0.05 was considered significant. The smaller the P-value obtained, the more significant is the result (*), less than 0.001 was considered highly significant (**) and Correlation coefficient (r) was calculated between continuous variables.

 

.

Results

  Table (1): Distribution of The Study and Control Groups Regarding their Socio-demographic Characteristics (n= 66).

 

Socio-demographic Data

Groups

c2

 

P – value

Study (n=33)

Control (n=33)

No.

%

No.

%

Age / Years

18:29

1

3.1

2

6.1

t=1.4

 

.14

NS

30:49

11

33.3

10

30.3

50:59

12

36.4

15

45.4

60:65

9

27.2

6

18.2

Mean ± SD

40.6 ± 12.6

41.1± 11.7

Marital Status

Single

4

12.1

1

3.1

 

4.60

 

0.213

NS

Married

21

63.6

27

81.7

Widow

5

15.1

3

9.1

Divorce

3

9.1

2

6.1

Residence

Rural

19

57.5

21

63.6

1.43

.16

NS

Urban

14

42.5

12

36.4

Gender

Male

25

75.8

22

66.7

1.30

.20

NS

Female

8

24.2

11

33.3

Occupation  Status

Risk Work

18

54.6

19

57.6

 

1.43

. 16

NS

Employee

11

33.3

8

24.2

Not Working

4

12.1

6

18.2

Main Cause of Pollution

Air pollution

14

42.5

10

30.3

1.21

 

 

.532

NS

Smoke

15

45.4

21

63.6

Dust

4

12.1

2

6.1

Education Level

Illiterate

23

69.7

26

78.8

.82

..4

 

Literate

10

30.3

7

21.2

Mean ± SD

1.3+ .46

1.2+ .41

 

 

NS= not significant

The table (1) Showed that, the mean age among study and control groups was nearly similar (40.6 ± 12.6 years, and 41.1± 11.7 years) respectively. In respect to residence; the results revealed that more than half of the study and control group were lived in rural area constituted (57.5% & 63.7 %) respectively. In respect to gender; the results revealed that (75.8%) of the study groups were male while (66.7%) of control group were male. Concerning to occupation; the study data demonstrated that, about half  of study and control groups  were occupied as risk employee (54.6% & 57.6%) respectively. Concerning to educational level; the study data demonstrated that, (69.7%,78.8% ) respectively among study group and control group  were illiterate and (30.3%,21.2%) respectively among study group and control group  were literate.

 

Table (2 ) Distribution of the Study and Control Groups Related to Medical History (n= 66)

Past Medical History

 

Groups

c2

 

P – value

Study (n=33)

Control (n=33)

No.

%

No.

%

History of Pervious Chest Infection

Pneumonia

15

45.4

11

33.3

1.13

.26

NS

Bronchitis

16

48.5

22

66.7

Others

2

6.1

0

0.0

Presence of Chronic Disease

Diabetes

21

63.6

15

45.4

 

-2.66

 

0.012

NS

Liver cirrhosis

12

36.4

18

54.6

Family History of COPD

Yes

21

63.6

20

60.6

1.6

0.21

Ns

No

12

36.4

13

39.4

Smoking

Non smoke

9

27.2

10

30.3

1.450

0.845 NS

Former smoke

14

42.5

12

36.4

Never smoke

4

12.1

2

6.1

Current smoke

6

18.2

9

27.2

NS= not significant                                                                

Table (2) Reflected that (48.5% and 66.7%) respectively among the study and control groups had bronchitis. About (63.6%) of study group had diabetes, while (54.4%) of control group had liver cirrhosis. In respect to family history of COPD about (63.6% and 60.6%) respectively among the study and control groups had positive family history. Moreover, the table represented that (27.3%, 30.3%) respectively among the study and control groups were nonsmoker, the current results showed that (42.5%,36.4%) respectively of the study and control groups were former smoker, while (12.1%, 6.1%) respectively among the study and control groups were never smoker, as well as  (18.2%, 27.2% ) respectively among both groups were current smoker.

 

Table (3): Mean Score of COPD Assessment Test among Study & Control Groups during Three Observations (n= 66).

 

COPD Assessment Test

2nd  Week)) 1st Observation

6th  Week))  2nd  Observation

8th  Week))3rd   Oservation

 

 

Study (n=33)

Control (n=33)

Study

(n=33)

Control (n=33)

Study

(n=33)

Control (n=33)

 

 

Mean

SD

Mean

SD

Mean

SD

Mean

SD

Mean

SD

Mean

SD

F

P

I never cough

2.9

.63

1.7

1.15

4.3

.42

2.6

1.17

4.1

.52

2.4

1.23

-3.70

.00*

I have no phlegm (mucus) in my chest at all

2.8

.63

1.7

.76

4.1

.54

2.6

1.05

3.9

.58

2.8

.73

3.03

.00*

My chest does not feel tight at all

3.1

.56

2.2

1.22

3.7

.52

1.7

.67

2.8

.63

1.3

.65

-1.51

.14

When I walk up a hill or one flight of stairs I am not breathless

3.2

.69

2.6

1.17

3.9

.58

1.3

.54

3.7

 

.52

 

2.6

1.05

-2.73

.01

I am not limited doing any activities at home

3.4

.66

2.6

1.05

4.0

.41

2.4

1.22

3.7

.52

2.8

.73

3.03

.00*

I am confident leaving my home despite my lung condition

3.4

.56

2.4

1.00

3.7

.52

2.8

.63

3.9

.54

2.5

1.22

-1.35

.18

I sleep soundly

3.7

.52

2.5

0.83

2.8

.63

2.4

1.00

2.8

.63

3.0

.86

.79

.43

I have lots of energy

3.9

.58

3.0

0.82

4.2

.62

2.5

.94

4.0

.69

2.4

1.00

-2.93

*.00

Total mean score

26.4+ 4.8

18.7+ 8

30.7+ 4.24

18.3+ 7.2

28.9+ 4.6

18.3+ 7.4

 

 

 

   The table(3) Illustrated that mean score of COPD Assessment Test was (26.4+ 4.8, 30.7+ 4.24, 28.9+ 4.6 ) respectively among study group at three observations. While the mean score of CAT was (18.7+ 18.3+ 7.2, 18.3+ 7.4) respectively among control group through three observations.

 


 

Figure (1) Mean Score of CAT among Both Study & Control Groups during Three Observations (n= 66).

 

The figure (1) Illustrated that mean score of COPD Assessment Test was (26.4%) among study group at 2nd week then mean score improved to (30.7% ) among study group at 6th week, finally mean score decline to (28.9%)   among study at 8th week . Mean score of CAT was (18.7,18.3,18.3) respectively among control group through three observations.

 

Table (4): Respiratory Assessment Sheet Regarding Forced Expiratory Volume among Both Study & Control Groups During Three Observations  (n= 66).

Forced Expiratory Volume

FEV1))

1st Observation(2nd  Week)

2nd  Observation (6th Week)

3rd  Observation(8th Week)

Study (n=33)

Control (n=33)

Study (n=33)

Control (n=33)

Study (n=33)

Control (n=33)

No.

%

No.

%

No.

%

No.

%

No.

%

No.

%

FEV1 (>80)

0

0

0

0

2

6.1

0

0

0

0

0

0

FEV1 (50-79)

 

33

 

100

33

100

 

31

93.9

31

93.9

32

96.9

28

84.7

FEV1 (30-49)

0

0

0

0

0

0

2

6.1

1

3.1

5

15.3

FEV1 (<30)

0

0

0

0

0

0

0

0

0

0

0

0

Test of Significance

c2=.68

P – value

=.50

c2

=1.9

P – value

=.04*

c2

=2.10

P – value

=.09

Mean ± SD

65.7± 8.64

64.5± 8.6

66.3±  11.5

63.6± 8.1

65.6± 9.1

60.5± 6.8

                                   * p = ≤.05 (Statistical significance)      ** p = ≤.01 (Highly statistical significance)

The table (4) Reflected that  100% of  both study and control group had  FEV1(50-79) at 2nd week  while (6.1%) of study group have  FEV1(>80) while (6.1%) of  control group have FEV1 (30-49) at 6th week and (3.1%,15.3%)respectively among study and control group were had FEV1(30-49) at 8th week. There was the statistically significant difference regarding forced expiratory volume among study and control group at 2nd observation

 

Table (5): Distribution of Both Study & Control Groups Regarding Modified Medical Research Council Dyspnea Scale (MMRC) During Three Observations (N= 66).

MMRC

1st Observation (2nd Week)

2nd  Observation(6th Week)

8th Week) 3rd Observation(

Study (n=33)

Control (n=33)

Study (n=33)

Control (n=33)

Study (n=33)

Control (n=33)

No.

%

No.

%

No.

%

No.

%

No.

%

No.

%

Grade 0

1

3.1

1

3.1

9

27.2

1

3.1

6

18.2

1

3.1

Grade 1

3

9.1

3

9.1

19

57.5

1

3.1

17

51.5

1

3.1

Grade 2

7

21.2

8

24.2

3

9.1

2

6.1

9

27.2

4

12.1

Grade 3

7

21.2

5

15.1

1

3.1

15

45.4

1

3.1

20

60.6

Grade 4

15

45.4

16

48.5

1

3.1

14

42.2

-

-

7

21.1

Test of Significance

Fisher exact = 45.245

P – value = 0.000

c2      = 46.400

P – value = 0.000**

c2      = 45.491

P – value = 0.000**

Mean ± SD

3.9± 1.15

4.0 ± 1.07

16.9± 2.5

9.1 ± 1.9

7.4±1.9

4.0 ± .69

                  NS= not significant        * p = ≤.05 (statistical significance)      ** p = ≤.01 (highly statistical significance)

The table (5) Represented that (3.1%) of study group have grade 0 dyspnea at the 2nd week increase to (27.2%) at 6th week while decline to (18.2%) at 8th week. Comparing with control group have grade 0 dyspnea 3.1% along the three observation. In addition (45.4%) of study group have grade (4) dyspnea at 2nd week while decline to (3.1%) at 6th week.  While study group haven’t grade (4) dyspnea at 8th week. The results revealed that (48.5%, 42.2 %, 21.1%) respectively among control group have grade 4 dyspnea along three observation. There was highly statistical significance at 6th and 8th week (P – value = 0.000**)

 

Table (6) Distribution of Both Study & Control Groups Regarding to the Total Distance Walked (N= 66)

Total Distance walked/Meter

2nd Week) 1st Observation(

2nd Observation(6th Week)

3rd Observation(8th Week)

Study (n=33)

Control (n=33)

Study (n=33)

Control (n=33)

Study (n=33)

Control (n=33)

No.

%

No.

%

No.

%

No.

%

No.

%

No.

%

> 100 Meter

18

54.5

20

60.7

2

6.1

24

72.7

6

18.2

30

90.9

100<200 Meter

12

36.4

9

27.2

16

48.4

8

24.2

16

48.4

3

9.1

200<300 Meter

4

12.1

3

9.1

10

30.3

1

3.1

8

24.2

0

0

300<400 Meter

0

0

0

0

4

12.1

0

0

3

9.1

0

0

400<500 Meter

0

0

0

0

1

3.1

0

0

0

0

0

0

Test of Significance

c2 = 0.04

P – value = .9

c2   = 11.9

P – value = 0.000**

c2   =  10

P – value = 0.000**

Mean ± SD

120.9± 69

120.4 ± 67

242.6± 93.2

127.4± 86.5

204± 84.1

70± 31.1

NS= not significant        * p = ≤.05 (statistical significance)      ** p = ≤.01 (highly statistical significance)

The table (6) Summarized that, (54.5%, 6.1%, 18.2%) respectively of the study group were walked less than 100 meter  along three observation, comparing with control group( 60.7 %, 72.7 %,90.9%) respectively were walked less than 100 meter along three observation. The findings displayed that (36.4%, 48.4%, 48.4%) respectively among the study group walked 100<200 Meter. Comparing with control group (27.2%, 24.2%, 9.1%) respectively were walked 100<200 Meter along three observation. the results revealed that the study group walked 200<300 Meter (9.1%, 30.3%, 24.2%) respectively along three observation. While 12.1 % of control group walked 200 <300 Meter at 2nd week decline to 3.1 % at 6th week. 12.1% of Study group walked 300<400 Meter at 6th week while this percent decline to 9.1 at 8th week. There were highly statistically significant differences among study and control groups during second and third observation

 

Table (7) Distribution of  Both Study & Control Groups in Relation to Reason for Stopping  Six-Minute Walk Test (N= 66):

Reason for Stopping Six-Minute Walk Test

1st Observation(2nd Week)

6th Week) 2nd Observation(

3rd  Observation(8th Week)

Study (n=33)

Control (n=33)

Study (n=33)

Control (n=33)

Study (n=33)

Control (n=33)

No.

%

No.

%

No.

%

No.

%

No.

%

No.

%

Chest pain

11

33.3

20

60.6

8

24.2

20

60.6

11

33.3

25

75.8

Increase Heart rate

18

54.6

20

60.6

10

30.3

21

63.6

15

45.4

18

54.5

Mental confusion

3

9.1

3

9.1

1

3.1

5

15.5

1

3.1

5

15.5

Fatigue

25

75.8

25

75.8

12

36.4

25

75.8

14

42.5

25

75.8

Dyspnea

20

60.6

23

69.6

11

33.3

25

75.8

11

33.3

27

81.8

SpO2 <85%

20

60.6

26

78.8

12

36.4

28

84.9

12

36.4

28

84.9

Abnormal gait

2

6.1

5

12.2

2

6.1

5

12.2

2

6.1

5

12.2

other reasons

2

6.1

2

6.0

1

3.1

1

3.1

1

3.1

1

3.1

Test of Significance

c2 = 1.13

P – value =.13

c2   = 3.18

P – value =.000**

c2   =  2.26

P – value =.03*

Mean ± SD

3.5±.50

2.1±.70

2.7±.43

2.3±.85

2.5±.50

2.1±.70

NS= not significant        * p = ≤.05 (statistical significance)      ** p = ≤.01 (highly statistical significance)

Table(7) Reflected that  (75.8%) of study group had fatigue at 2nd  week then improved to (36.4%) at 6th week then decline to (42.5%) at 8th week ,and (75.8%) of control group had fatigue  along three observation ,while (60.6%) of study group had dyspnea at 2nd week and then improved to (33.3%)  at 6th week and 8th week. While (69.6%) of control group had dyspnea at 2nd week and then decline to (75.8 %) at 6th week and while increased to (81.8 %) at 8th week. There were highly statistically significant difference regarding Reason for Stopping Six-Minute Walk Test  among  study and control group at 2nd observation and There were statistically significant difference regarding Reason for Stopping Six-Minute Walk Test at third  observation among  study and control group, evidenced by P – value =.000**,  .03*) respectively at second and third observation

 

Table( 8): Correlation Between Patients Socio- demographic Data and (  CAT ,6 MWT and  MMRC)

 

Variables

CAT

6Walk

MMRC

Study

Control

Study

Control

Study

Control

r

p

r

p

r

p

r

p

r

p

R

p

Age        

0.2

-0.3*

0.7

0.37

0.01

-0.4*

0.8

0.6

0.9

.8

0.8

.73

Sex

0.5

1.1

0.3

1.72

0.3

1.65

0.2

2.01

0.8

4.2

0.7

5.0

Marital Status

0.3

1.6

0.8

2.4

0.2

2.21

.003

4.98

.000

6.17

0.7

5.20

Residence

0.7

5.3

.06

1.98

0.9

.8

0.6

3.29

0.7

8.5

0.9

1.81

Occupation

0.7

.04*

0.8

.151

0.1

.2*

0.8

 3.1

0.8

.03*

0.6

2.72

Main Cause of Pollution

0.8

.02*

0.6

1.19

0.9

1.6

0.6

8.4

0.4

 .4*

0.7

 5.6

Table (8) showed that there was statistical significant correlation was noticed between age and CAT, 6 walk minute test evidenced by p (-.03*, -0.4*) respectively. Statistical significant correlation was found between occupation and (CAT, 6 Walk minutes test, and MMRC) evidenced by P (0 .4* -0 .2*, & 0.3*) respectively.  Finally there were Statistical significant correlation between main cause of pollution and (CAT – MMRC) evidenced P = (.2* - .4*) respectively

 

Table (9): Correlation Between Patients Past Medical History and (CAT, 6 Walk Minutes Test and MMRC)

 

Variables

CAT

6MWT

MMRC

Study

Control

Study

Control

Study

Control

r

p

r

p

r

p

r

p

r

p

r

p

History of Pervious Chest Infection

1.8

0.2*

2.1

0.4*

3.1

0.5*

1.1

0.9

2.4

1.1

1.9

2.4

Presence of Chronic Disease

0.5

0.10

0.9

0.01

0.7

0.05

0.19

0.22

.84

.124

.18

.237

Family History of COPD

0.8

.03*

.4

.12

.7

.5*

.5

1.1

.8

.44

.7

.23

Smoking

.09

.29

.23

.21

.6

.87

.7

.31

.17

.24

.6

.47

The table (9) represented that there were statistical significant correlation between history of pervious chest infection and (CAT&6 minutes walk test) ,evidenced by p  (.2* , .4* , .5*) respectively.  Finally there were Statistical significant correlation between family history and (CAT & 6 walk minute test), evidence by P (0.3*, 0.5*) respectively.

 


Discussion

The findings of present study showed that the majority of studied patients were in age group 30 to 59 years old. The finding matched with Mohamed, D. M., et al (2016) whom reported that, patients age in study and control group were ranged from 40to 60 years old, and Nugmanova, D., et al. (2018), Wehieda .S., et al (2017) whom stated that, the age of studied sample were slightly above 40 years old. While present study contradicting with Lal, D., et al, (2015) whom reported that, the age of patients with COPD were over 70 years. Also Yin, H. L. et al (2017), and Tel, H., et al (2012) concluded that age of the COPD patients was above 65 years old. The present study illustrated that, more than half of the study and control were lived in rural area .This comes in accordance with Sharma, S., & Sharma, P. (2019) whom mentioned that the urban residence is associated with higher incidence of COPD While the result of current study disagree with Pati, S.,et al (2018) and Damaris, A. (2012) whom reported that more than half of studied sample  were come from urbane area.

In the current study, it has been noticed, that most of study and control group were males. This result in line with Lee, J.,etal(2018), and Soler, X.etal (2017), and Kwon, H. Y., and Kim, E. (2016)  whom stated that, majority of studied sample were males. Similarly finding were reported by with Ghada, S. K. M. (2018) & Jonkman, and N. H.,et al(2016) and  Tabet, R.,  (2016) whom  mentioned that that more than half of both groups were males.

While this result contradicted with Bhatt, S. P., (2018), Nugmanova, D. et al (2018) and Al-shair, K., et al (2016 whom mentioned that the majority of study populations were females.

In regard to occupational status result of the present study showed that about half of study and control groups were join with risk occupation. The findings supported by Mohamed.D,M., et al (2016), Tagiyeva, N., et al (2017) and Hagstad, S., et al (2015 )  whom illustrated that about half of the subjects exposed to irritating work. Similarly, whom reported that occupational exposure of studied sample to gas, dust or fumes (GDF) were lead to COPD disease.

Concerning to educational level; the present study findings demonstrated that, more than two third of both groups were illiterate. The result is in contrast with Ramírez-Venegas, De Miguel-Diez, J., et al (2018), Jayasheela, H. (2018), Abd-Elsalam, F. G.,etal 2015  and A., et al (2018), whom stated that more than half of study subject  was illiterate.

 

In the current study, it has been noticed that, about half of both groups were have bronchitis. This finding come in accordance with Mejza, F., et al (2018) whom reported that   COPD patient had a history of bronchitis. Concerning family history, the finding of present study illustrated that more than half of study and control group had positive family history for COPD. This finding supported by Sharifi, H., et al(2019), and Ilic, A. D., et al (2016) whom stated  that, there were appositive family history among COPD patient. While this finding not in the same line with Hersh, C. P., et al (2011) whom reported that Family history is a risk factor for COPD patient.

Regarding smoking study results represented that, about one third of study and control group were current smoker. Is in agree with Nugmanova, D., et al (2018) whom stated that, about one-third of COPD patient were current smokers. While nearly half of study and control group were former smoker this result was in consistent with Sharma, S., Sharma, P. (2019) and Bhatt, S. P., et al (2018) whom reported that about half of COPD patients were former smokers.

As regard CAT the current study showed that that positive correlation between Patient’s  Past Medical History and CAT. This results were in accordance with, Mishra, R. S., , Parauha, D. (2018), Falschlehner, S., et al (2015), Dubé, B. P., et al (2017) and Tanner, R. J., et al(2013) whom evaluated the effect of outpatient pulmonary rehabilitation on COPD assessment test (CAT) and GOLD classification they were concluded that CAT score was improved after implementing pulmonary rehabilitation in addition to statistically significant improvement in general well-being. While this finding disagreed with Jácome, (2016 who reported that no significantly difference after Pulmonary rehabilitation.

More over the present study results displayed that, There was the statistically significant difference regarding forced expiratory volume FEV1 among study group at 6th week after implementing rehabilitation protocol. This result was supported by Alosaimi, S. (2018) who revealed that breathing exercise leads to a significant improvement in FEV1 and dyspnea score. As well as Elkhateeb, N.B., et al (2015), and Moezy, A., etal(2018) whom founded that, there was a statistically significant improvement in FEV1% after 6–8 weeks of pulmonary rehabilitation. While the present finding not in the same line with Daabis, R., (2017), Engel, R. M.,  et al(2017), and Engel, R. M.,  et al(2017) whom mentioned that at the end of PR, there was no statistically significant improvement in lung function.

The present study summarized that, there were highly statistically significant differences between the study and control groups regarding the MMRC after implementing rehabilitation protocol. This can be explained by breathing exercise decreases the effort required for breathing and improved breathing pattern. This result is consistent with Charususin, N., et al (2018), Daabis, R., et al(2017)  and Wehieda, S. M., et al.(2017) whom concluded that there  was  a statistically significant improvement  in dyspnea score in the intervention group after PR.

Regarding Modified Medical Research Council Dyspnea Scale the finding of the present study showed that highly statistically significant improvement of dyspnea level post pulmonary rehabilitation protocol this result is in agreement with Bavarsad, M. B, et al., Elkhateeb, N. B et al.(2015) (2015), Klijn, P., Legemaat, et al., (2015), Lingner, H., et al., (2018), and Katajisto, M., & Laitinen, T. (2017).  whom stated that there was statistically significant decrease in dyspnea level  in the study group than the control following individualized pulmonary rehabilitation program.

Findings of the present study summarized that, there was a highly statistical significant improvement in the distance walked at 6WMT, the present study also come in agreement with De Roos, P., (2018), Alosaimi, S. (2018), Chuang, H. Y., (2017), Naseer, B. A., (2017), Broderick, J., et al (2018), El Hoshy, M. S.,  et al (2017), and   Daabis, R.,etal.(2017), whom reported that there was a statistically significant increase in 6MWD after rehabilitation.   

The present study results founded that, there was statistical  significant  correlation was noticed between age and CAT, 6 walk minute test ), This finding  comes in accordance with  Dilek ,et al,2018, and Shehata, S. M.,et al (2018) whom illustrated that, there was statistical significant correlation was noticed between age and CAT, 6 walk minute test ),  more over the present study result showed that statistical significant correlation was found  between  occupation and ( CAT, 6 Walk  minutes test, and MMRC)  these result were in agreement with Izquierdo, (2009), HuyNH, T. P., and Nguyen, T. D. (2018) whom confirmed that there was  statistically significant correlation between patients' occupation and CAT, 6 walk minutes test and MMRC. In addition to, the finding presented that there was positive statistical significant correlation between  presence of pervious disease and CAT, 6 walk minutes test in agreement with Seyed., (2008) who reported that, there was  positive statistical significant correlation  between  presence of pervious disease and CAT, 6 walk minutes test.

 

Conclusions:

The current study seeks the effect of rehabilitation protocol on dyspnea and fatigue for patients with chronic obstructive pulmonary disease. From the results of this study, it can be concluded that:

  • The incidence of COPD is not equally in male and female. It occurred on age group 30 to 59 years old. The present study also illustrated that more than half of studied patients had positive family history for COPD. Moreover the incidence of disease increased in rural area. Present study showed that about half of study patient were join with risk occupation
  • Highly statistically significant improvement of dyspnea level were found post pulmonary rehabilitation protocol. On the other hand, there is positive correlation were found between patient’s past medical history and CAT.

 

Recommendations:

Based on the finding of current study the following recommendations are derived and suggested:

Recommendations for Patients:

  • Educational programs should be developed and implemented for patients, particularly individuals with young age group regarding to increase their knowledge and update them with most information about disease for (definitions, causes, risk factors, signs and symptoms, treatment options, diagnosis, complication, exercise, diet, rest, and smoking cession).

 Recommendations for Nurses:

  • Nurses should know more information about disease and update their knowledge through participating in educational programs, attending seminars, workshops and reviewing researches.

Recommendations for Administrators:

  • Colored illustrated booklet should be available and distributed to each patients with COPD about pulmonary rehabilitation protocol to reduce dyspnea and fatigue and other complication.
  • Nurses should receive updated educational program about pulmonary rehabilitation protocol and its effect on COPD patient.

 

Acknowledgment

The researchers would like to acknowledge the contribution of all participants who kindly agreed to take part in the study. They generously gave their time and attention to conduct this study. This study would have been impossible without their generosity.

  1. Abd-Elsalam, F. G., Mahgoub, N. A., Ghoneim, A. H., & Abou-Abdu, S. E. (2015). Chronic obstructive pulmonary disease and sexual functioning among women in Egypt. Egyptian Journal of Chest Diseases and Tuberculosis, 64(3), 551-556.
  2. Alosaimi, S. (2018). When to Initiate Pulmonary Rehabilitation Program for ChronicObstructive Pulmonary Disease Patient.
  3. Al-shair, K., Kolsum, U., Singh, D., & Vestbo, J. (2016). The Effect of fatigue and fatigue intensity on exercise tolerance in moderate COPD. Lung, 194(6), 889-895.
  4. Andrianopoulos, V., Wouters, E. F., Pinto-Plata, V. M., Vanfleteren, L. E., Bakke, P. S., Franssen, F. M., ... & Vogiatzis, I. (2015). Prognostic value of variables derived from the six-minute walk test in patients with COPD: Results from the ECLIPSE study. Respiratory medicine, 109(9), 1138-1146.
  5. Bagade, A. A., Jiandani, M. P., & Mehta, A. (2017). Medical research council dyspnoea score and forced expiratory volume in one second as the predictors of vertical climbing in chronic obstructive pulmonary disease patients. International Journal of Research in Medical Sciences, 5(4), 1558-1562.
  6. Bavarsad, M. B., Shariati, A., Eidani, E., & Latifi, M. (2015). The effect of home-based inspiratory muscle training on exercise capacity, exertional dyspnea and pulmonary function in COPD patients. Iranian journal of nursing and midwifery research, 20(5), 613.
  7. Bestall, J. C., Paul, E. A., Garrod, R., Garnham, R., Jones, P. W., & Wedzicha, J. A. (2009). Usefulness of the Medical Research Council (MRC) dyspnoea scale as a measure of disability in patients with chronic obstructive pulmonary disease. Thorax, 54(7), 581-586.
  8. Bhatt, S. P., Anderson, J. A., Brook, R. D., Calverley, P. M., Celli, B. R., Cowans, N. J., & Yates, J. C. (2018). Cigarette smoking and response to inhaled corticosteroids in COPD. European Respiratory Journal, 51(1), 1701393.
  9. Bhatt, S. P., Anderson, J. A., Brook, R. D., Calverley, P. M., Celli, B. R., Cowans, N. J & Yates, J. C. (2018). Cigarette smoking and response to inhaled corticosteroids in COPD. European Respiratory Journal, 51(1), 1701393.
  10. Broderick, J., Mc Grath, C., Cullen, K., Talbot, D., Gilmor, J., Baily-Scanlan, M., & O’Dwyer, T. (2018). Effects of pulmonary rehabilitation on exercise capacity and disease impact in patients with chronic obstructive pulmonary disease and obesity. Physiotherapy, 104(2), 248-250.
  11. Casey, M., Mulkerns, A., O’Donnell, C., & McDonnell, T. (2018). Pulmonary Rehabilitation in COPD: Current Practice and Future Directions. In COPD-An Update in Pathogenesis and Clinical Management. InTech.
  12. ‏-Charususin, N., Gosselink, R., Decramer, M., Demeyer, H., McConnell, A., Saey, D& van Helvoort, H. (2018). Randomised controlled trial of adjunctive inspiratory muscle training for patients with COPD. Thorax, thoraxjnl-2017.
  13. Chuang, H. Y., Chang, H. Y., Fang, Y. Y., & Guo, S. E. (2017). The effects of threshold inspiratory muscle training in patients with chronic obstructive pulmonary disease: A randomised experimental study. Journal of clinical nursing, 26(23-24), 4830-4838.
  14. Daabis, R., Hassan, M., & Zidan, M. (2017). Endurance and strength training in pulmonary rehabilitation for COPD patients. Egyptian Journal of Chest Diseases and Tuberculosis, 66(2), 231-236.
  15. Damaris, A. (2012). Respiratory rehabilitation in chronic obstructive bronchopneumonia [phD thesis]. University of Medicine and Pharmacy of Craiova Faculty of Medicine 1-19 p.
  16. de Miguel-Diez, J., Lopez-de-Andres, A., Herandez-Barrera, V., Jimenez-Trujillo, I., Puente-Maestu, L., Cerezo-Lajas, A., & Jimenez-Garcia, R. (2018). Effect of the economic crisis on the use of health and home care services among Spanish COPD patients. International journal of chronic obstructive pulmonary disease, 13, 725.
  17. de Torres, J. P., Casanova, C., Marín, J. M., Pinto-Plata, V., Divo, M., Zulueta, J. J.,  & Carrizo, S. (2014). Prognostic evaluation of COPD patients: GOLD 2011 versus BODE and the COPD comorbidity index COTE. Thorax, 69(9), 799-804.
  18. Dilek Karadogan ,Ozgur Onal 2,Deniz Say Sahin 3 -  Yalcın Kanbay Factors associated with current smoking in COPD patients: A cross-sectional study from the Eastern Black Sea region ofTurkey Tob. Induc. Dis. 2018;16(May):22TID"tobacco induced disease.
  19. Dubé, B. P., Houle-Péloquin, M., Sauvageau, B., Lalande-Gauthier, M., & Poirier, C. (2017). Stair-Climbing Capacity as a Marker of Improvement Following Pulmonary Rehabilitation. Journal of cardiopulmonary rehabilitation and prevention, 37(3), 229-233.
  20. Elkhateeb, N. B., Elhadidi, A. A., Masood, H. H., & Mohammed, A. R. (2015). Pulmonary rehabilitation in chronic obstructive pulmonary disease. Egyptian Journal of Chest Diseases and Tuberculosis, 64(2), 359-369.
  21. Engel, R. M., Wearing, J., Gonski, P., & Vemulpad, S. (2017). The effect of combining manual therapy with exercise for mild chronic obstructive pulmonary disease: study protocol for a randomised controlled trial. Trials, 18(1), 282.
  22. Falschlehner, S., Petrovic, M., Czuchajda, E., Ott, B., Forster, A., Berger, A., & Zwick, R. H. (2015). The effect of outpatient pulmonary rehabilitation on COPD assessment test (CAT) and GOLD classification–A retrospective data analysis‏
  23. Gao, J. (2018). Chronic obstructive pulmonary disease (COPD)--from biomarkers to clinical phenotypes
  24. Ghada, S. K. M. (2018)Comparative Study Of Critical Nurses' Knowledge And Practice Before And After Education Program About Acute Exacerbation Of Chronic Obstructive Pulmonary Disease.
  25. Gupta, N., Vora, C., Madan, T., Garg, P., Vagde, M., Bisnoi, S., & Chaudhary, M. (2018). Prevalence of cardiovascular diseases in patients hospitalized for acute exacerbation of COPD: prospective observational study. International Journal of Advances in Medicine, 5(3), 742-747.
  26. Hagstad, S., Backman, H., Bjerg, A., Ekerljung, L., Ye, X., Hedman, L., & Lundbäck, B. (2015). Prevalence and risk factors of COPD among never-smokers in two areas of Sweden–occupational exposure to gas, dust or fumes is an important risk factor. Respiratory medicine, 109(11), 1439-1445.
  27. Hersh, C. P., Hokanson, J. E., Lynch, D. A., Washko, G. R., Make, B. J., Crapo, J. D., ... & COPDGene Investigators. (2011). Family history is a risk factor for COPD. Chest, 140(2), 343-350.
  28. Ilic, A. D., Zugic, V., Zvezdin, B., Kopitovic, I., Cekerevac, I., Cupurdija, V., ... & Barac, A. (2016). Influence of inhaler technique on asthma and COPD control: a multicenter experience. International journal of chronic obstructive pulmonary disease, 11, 2509.
  29. Jácome, C. I. O. (2016). Pulmonary rehabilitation in mild chronic obstructive pulmonary disease and its impact on computerized respiratory sounds.
  30. Jonkman, N. H., Westland, H., Trappenburg, J. C., Groenwold, R. H., Bischoff, E. W., Bourbeau, J., & Gallefoss, F. (2016). Do self-management interventions in COPD patients work and which patients benefit most? An individual patient data meta-analysis. International journal of chronic obstructive pulmonary disease, 11, 2063.
  31. Katajisto, M., & Laitinen, T. (2017). Estimating the effectiveness of pulmonary rehabilitation for COPD exacerbations: reduction of hospital inpatient days during the following year. International journal of chronic obstructive pulmonary disease, 12, 2763.
  32. Klijn, P., Legemaat, M., Beelen, A., van Keimpema, A., Garrod, R., Bergsma, M., & van Stel, H. (2015). Validity, reliability, and responsiveness of the Dutch version of the London Chest Activity of Daily Living Scale in patients with severe COPD. Medicine, 94(49).
  33. Kwon, H. Y., & Kim, E. (2016). Factors contributing to quality of life in COPD patients in South Korea. International journal of chronic obstructive pulmonary disease, 11, 103.
  34. Lal, D., Manocha, S., Ray, A., Vijayan, V. K., & Kumar, R. (2015). Comparative study of the efficacy and safety of theophylline and doxofylline in patients with bronchial asthma and chronic obstructive pulmonary disease. Journal of basic and clinical physiology and pharmacology, 26(5), 443-451.
  35. Lee, J., Nguyen, H. Q., Jarrett, M. E., Mitchell, P. H., Pike, K. C., & Fan, V. S. (2018). Effect of symptoms on physical performance in COPD. Heart & Lung, 47(2), 149-156.
  36. Lingner, H., Buhr-Schinner, H., Hummel, S., van der Meyden, J., Grosshennig, A., Nowik, D., & Schultz, K. (2018). Short-Term Effects of a Multimodal 3-Week Inpatient Pulmonary Rehabilitation Programme for Patients with Sarcoidosis: The ProKaSaRe Study. Respiration.
  37. Mcvay, G., Meharry, R., Young, D., Sinton, L., Hannah, D., MacKay, E., & Anderson, D. (2017). Does pulmonary rehabilitation improve mortality in patients with chronic obstructive pulmonary disease (COPD)
  38. Mi, E., Ewing, G., Mahadeva, R., Gardener, C., Butcher, H. H., Booth, S., & Farquhar, M. (2018). Associations between the psychological health of patients and carers in advanced chronic obstructive pulmonary disease.
  39. Miravitlles, M., & Ribera, A. (2017). Understanding the impact of symptoms on the burden of COPD. Respiratory research, 18(1), 67
  40. Miravitlles, M., Menezes, A., Varela, M. V. L., Casas, A., Ugalde, L., Ramirez-Venegas, A., & de Oca, M. M. (2018). Prevalence and impact of respiratory symptoms in a population of patients with COPD in Latin America: the LASSYC.
  41. Mishra, R. S., & Parauha, D. (2018). The effect ofpulmonary  rehahilitation on Exercise Capacity And Quality Of Life In Patients Of Chronic Obstructive Pulmonary Disease. Global Journal For Research Analysis, 6(8).
  42. Moezy, A., Erfani, A., Mazaherinezhad, A., & Mousavi, S. A. J. (2018). Downhill walking influence on physical condition and quality of life in patients with COPD: A randomized controlled trial. Medical journal of the Islamic Republic of Iran, 32, 49.
  43. Mohamed, D. M., Ahmed, S. S., Mohamed, A. H., & Rahman, A. A. A. (2016). Effect of care protocol on the knowledge, practice and clinical outcomes of patients with chronic obstructive pulmonary disease. Journal of Nursing Education and Practice, 7(2), 107.
  44. Naseer, B. A., Al-Shenqiti, A. M., Ali, A. H., Al-Jeraisi, T. M., Gunjan, G. G., & Awaidallah, M. F. (2017). Effect of a short term pulmonary rehabilitation programme on exercise capacity, pulmonary function and health related quality of life in patients with COPD. Journal of Taibah University Medical Sciences, 12(6), 471-476.
  45. Nugmanova, D., Feshchenko, Y., Iashyna, L., Gyrina, O., Malynovska, K., Mammadbayov, E., ... & Vasylyev, A. (2018). The prevalence, burden and risk factors associated with chronic obstructive pulmonary disease in Commonwealth of Independent States (Ukraine, Kazakhstan and Azerbaijan): results of the CORE study. BMC pulmonary medicine, 18(1), 26
  46. Polverino, E., Goeminne, P. C., McDonnell, M. J., Aliberti, S., Marshall, S. E., Loebinger, M. R., & De Soyza, A. (2017). European Respiratory Society guidelines for the management of adult bronchiectasis. European Respiratory Journal, 50(3), 1700629
  47. ‏Ramírez-Venegas, A., Velázquez-Uncal, M., Pérez-Hernández, R., Guzmán-Bouilloud, N. E., Falfán-Valencia, R., Mayar-Maya, M. E., ... & Sansores, R. H. (2018). Prevalence of COPD and respiratory symptoms associated with biomass smoke exposure in a suburban area. International journal of chronic obstructive pulmonary disease, 13, 1727.
  48. Seyed Ali Javad Mousavi, MD.1, Seyed Mohammad Fereshtehnejad2, Neda Khalili3, Original ResearchMedical Journal of the Islamic Republic of Iran.Vol. 22, No.1, May 2008. pp. 29-3Malihe Naghavi4, Hooman Yahyazadeh, MD.5 Original Research Medical Journal of the Islamic Republic of Iran.Vol. 22, No.1.
  49. Sharifi, H., Ghanei, M., Jamaati, H., Masjedi, M. R., Aarabi, M., Sharifpour, A., & Buist, A. S. (2019). Burden of obstructive lung disease study in Iran: First report of the prevalence and risk factors of copd in five provinces. Lung India, 36(1), 14.‏
  50. Sharma, S., & Sharma, P. (2019). Prevalence of dyspnea and its associated factors in patients with chronic obstructive pulmonary disease. Indian Journal of Respiratory Care, 8(1), 36.
  51. Shehata, S. M., Refky, M. M., & Nafae, R. M. (2018). Outcome of pulmonary rehabilitation in patients with stable chronic obstructive pulmonary disease at Chest Department, Zagazig University Hospitals (2014–2016). Egyptian Journal of Bronchology, 12(3), 279.
  52. Soler, X., Liao, S. Y., Marin, J. M., Lorenzi-Filho, G., Jen, R., DeYoung, P., ... & Malhotra, A. (2017). Age, gender, neck circumference, and Epworth sleepiness scale do not predict obstructive sleep apnea (OSA) in moderate to severe chronic obstructive pulmonary disease (COPD): The challenge to predict OSA in advanced COPD. PloS one, 12(5), e0177289.
  53. Tabet, R., Ardo, C., Makhlouf, P., & Hosry, V. (2016). Application of Bap-65: A New Score for Risk Stratification in Acute Exacerbation of Chronic Obstructive Pulmonary Disease. J Clin Respir Dis Care, 2, 110.
  54. Tagiyeva, N., Sadhra, S., Mohammed, N., Fielding, S., Devereux, G., Teo, E. & Douglas, J. G. (2017). Occupational airborne exposure in relation to Chronic Obstructive Pulmonary Disease (COPD) and lung function in individuals without childhood wheezing illness: A 50-year cohort study. Environmental research, 153, 126-134.
  55. Tanner, R. J., Raste, Y., Mohan, D., & Hopkinson, N. (2013). The Copd Assessment Test (Cat): Response To Pulmonary Rehabilitation In Respiratory Disease-A Multicentre Study. In C107. Pulmonary Rehabilitation: Organization And Outcomes (Pp. A5126-A5126). American Thoracic Society.
  56. Tel, H., Bilgiç, Z., & Zorlu, Z. (2012). Evaluation of dyspnea and fatigue among the COPD patients. In Chronic Obstructive Pulmonary Disease-Current Concepts and Practice. InTech.
  57. Vitacca, M., Visca, D., & Spanevello, A. (2018). Care-Related intervention in Rehabilitative Pneumology: Pulmonary Rehabilitation in Chronic Obstructive Broncopneumopathies (COPD) can benefit from a multidisciplinary approach?. Giornale italiano di medicina del lavoro ed ergonomia, 40(1), 37-41.
  58. Vogelmeier, C. F., Criner, G. J., Martinez, F. J., Anzueto, A., Barnes, P. J., Bourbeau, J., ... & Frith, P. (2017). Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease 2017 report. GOLD executive summary. American journal of respiratory and critical care medicine, 195(5), 557-582
  59. Vozoris, N. T., Wang, X., Austin, P. C., Lee, D. S., Stephenson, A. L., O’Donnell, D. E., & Rochon, P. A. (2017). Adverse cardiac events associated with incident opioid drug use among older adults with COPD. European journal of clinical pharmacology, 73(10), 1287-1295
  60. Wehieda, S. M., El-Sheikh, A. A., & Sallam, S. A. E. G. (2017). Effect of Implementation of Teaching Modules about Physiological and Psychological Parameters on Expected Clinical Outcomes of Patients with Chronic Obstructive Pulmonary Disease. American Journal of Nursing, 6(5), 370-381.
  61. Wehieda, S. M., El-Sheikh, A. A., & Sallam, S. A. E. G. (2017). Effect of Implementation of Teaching Modules about Physiological and Psychological Parameters on Expected Clinical Outcomes of Patients with Chronic Obstructive Pulmonary Disease. American Journal of Nursing, 6(5), 370-381.
  62. Xu, J., He, S., Han, Y., Pan, J., & Cao, L. (2017). Effects of modified pulmonary rehabilitation on patients with moderate to severe chronic obstructive pulmonary disease: A randomized controlled trail. International Journal of Nursing Sciences, 4(3), 219-224.
  63. Yawn, B. B., Thomashaw, B., Mannino, D. M., Han, M. K., Kalhan, R., Rennard, S., ... & Wise, R. (2017). The 2017 update to the COPD foundation COPD pocket consultant guide. Chronic Obstructive Pulmonary Diseases, 4(3), 177.‏
  64. Yin, H. L., Yin, S. Q., Lin, Q. Y., Xu, Y., Xu, H. W., & Liu, T. (2017). Prevalence of comorbidities in chronic obstructive pulmonary disease patients: A meta-analysis. Medicine, 96(19).
  65. Yong Liu,1 Roy A Pleasants,2 Janet B Croft,1 Anne G Wheaton,1 Khosrow Heidari,3 Ann M Malarcher,4 Jill A Ohar,5 Monica Kraft,6 David M Mannino,7 and Charlie Strange Smoking duration, respiratory symptoms, and COPD in adults aged ≥45 years with a smoking history Int J Chron Obstruct Pulmon Dis. 2015; 10: 1409–1416.