Quality of life and its determinants in patients with noncystic fibrosis bronchiectasis
Ramin Sami1, Mohammadali Zohal2, Fatemeh Khanali2, Neda Esmailzadehha3
1 Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan; Metabolic Diseases Research Center, Research Institute for Prevention of Noncommunicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
2 Metabolic Diseases Research Center, Research Institute for Prevention of Noncommunicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
3 Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
|Date of Submission||16-Jun-2020|
|Date of Decision||22-Jul-2020|
|Date of Acceptance||02-Dec-2020|
|Date of Web Publication||27-May-2021|
Dr. Mohammadali Zohal
Metabolic Diseases Research Center, Research Institute for Prevention of Noncommunicable Diseases, Qazvin University of Medical Sciences, Velayat Hospital, 22 Bahaman Blvd, Taavon Sq, Qazvin
Source of Support: None, Conflict of Interest: None
Background: Promoting quality of life (QoL) in patients with bronchiectasis, as a chronic disease, is a part of therapeutic principles. This study aimed to investigate QoL and its determinants in patients with noncystic fibrosis (CF) bronchiectasis. Materials and Methods: This cross-sectional study was conducted on 62 patients (38.7% male, mean age: 44) with non-CF bronchiectasis and involvement of ≥2 lobes in Qazvin, Iran. QoL was evaluated using the St. George's Respiratory Questionnaire (SGRQ). The relationships of QoL subscales with clinical (cough, dyspnea, and sputum volume) and paraclinical (spirometry, computerized tomography scan, sputum microbiology, and 6-min walk test [6-MWT]) were assessed using Pearson's correlation coefficient and multiple linear regression analyses. Results: The mean SGRQ total score was 53.1 (standard deviation 19.8) out of 100. The level of dyspnea (r = 0.543, P < 0.001), cough (r = −0.594, P < 0.001), 6-MWT (r = −0.520, P < 0.001), sputum volume (r = 0.423, P = 0.002), and number of exacerbations (r = 0.446, P = 0.009) had significant correlation with SGRQ total score. In multiple regression analysis, forced expiratory volume in 1 s was an independent predictor of the symptom (β = −0.22, P = 0.048) and activity (β = −0.43, P = 0.03) subscales, whereas cough was an independent predictor of the symptom subscale (β = −2.1, P = 0.002). Conclusion: In patients with non-CF bronchiectasis, the extent of lung impairment has a lower effect on the QoL than clinical symptoms. It seems that the QoL can be improved through the proper treatment of clinical symptoms and rehabilitation for promoting 6-MWT.
Keywords: Bronchiectasis, noncystic fibrosis, pulmonary function tests, quality of life
|How to cite this article:|
Sami R, Zohal M, Khanali F, Esmailzadehha N. Quality of life and its determinants in patients with noncystic fibrosis bronchiectasis. J Res Med Sci 2021;26:27
|How to cite this URL:|
Sami R, Zohal M, Khanali F, Esmailzadehha N. Quality of life and its determinants in patients with noncystic fibrosis bronchiectasis. J Res Med Sci [serial online] 2021 [cited 2021 Dec 3];26:27. Available from: https://www.jmsjournal.net/text.asp?2021/26/1/27/316991
| Introduction|| |
Bronchiectasis is a chronic lung disease caused by frequent lung infections and bronchial degeneration. Wherein the individual is infected frequently because the body's immune system cannot remove the microbes from the bronchi. This infection and the subsequent inflammation result in the irreversible dilation of the respiratory tract. Consequently, lung symptoms such as cough, sputum, hemoptysis, and dyspnea emerge cause restrictions in social relationships that lead to a frequent referral to the doctor. Prescribing drugs such as antibiotics and admission to the hospital decrease the quality of life (QoL). Many extrapulmonary involvements can also be observed.,, Pulmonary and extrapulmonary involvement in bronchiectasis can reduce the QoL of the patient. Besides, it increases mortality.
Evaluating the QoL, finding the significant factors, and correcting those factors are among the most critical management issues in patients with chronic diseases. QoL of each individual is affected by various factors. In addition to socioeconomic conditions, health is the most vital factor affecting QoL of any individual. In chronic diseases, if controllable factors affecting QoL could be identified, QoL can be increased through programmed interventions.
Some patients with bronchiectasis have low QoL, although they have many clinical symptoms, a large extent of pulmonary involvement in computerized tomography (CT) scan, or high respiratory obstruction in spirometry. Besides, there are patients with poor QoL and minimum pulmonary involvement or low clinical symptoms. Few studies have focused on the factors affecting QoL of the patients with non-cystic fibrosis (CF) bronchiectasis,,, particularly in developing countries. Therefore, we designed the present study to investigate the predictors of QoL and its determinants in patients with non-CF bronchiectasis.
| Materials and Methods|| |
Study design and participants
This cross-sectional study was conducted on all patients with non-CF bronchiectasis referred to pulmonary diseases clinic in Qazvin, Iran, from May 2014 to September 2016. All eligible patients (by census method) entered into the study. The inclusion criteria were: the age of above 18 years old, non-CF bronchiectasis, disseminated bronchiectasis, the involvement of ≥2 lobes, and no exacerbation in the recent month. The patients with bronchiectasis caused by tuberculosis or those having any other chronic diseases (chronic obstructive pulmonary disease [COPD], congestive heart failure, malignancy, chronic kidney disease, pulmonary fibrosis, and cirrhosis) at the same time were excluded. This study is financially suppoted by Qazvin University of Medical Sciences.
A trained team investigated the patients who referred to the hospital in the fasting state in the morning. They were asked not to use any bronchodilator drugs at least 12 h ago. Patients first filled out the primary questionnaire containing demographic information and then, the Persian St. George's Respiratory Questionnaire (SGRQ).
Quality of life
This SGRQ is one of the most reliable questionnaires for investigating QoL in lung patients, which was initially designed for assessing patients with COPD. However, in numerous subsequent studies, the validity and reliability of this questionnaire have been approved in other lung diseases such as bronchiectasis. SGRQ has already been translated into Persian, and its validity and reliability have been verified. The questionnaire consists of 50 items and two sections (symptom and the patient's current condition). The symptom subscale includes the patient's clinical symptoms (dyspnea, cough, sputum, wheezing, etc.) in terms of sequence and severity in the past month. The patient's current condition includes two subscales (activity and impact). The activity subscale assesses the effect of the disease on daily activity. The impact subscale assesses the impact of the disease on the overall health of the individual. Since the SGRQ is a supervised self-administered questionnaire, all the patients filled out the questionnaire in the center under the supervision of a trained nurse. The principles of completing the questionnaire were based on the relevant guideline. The scores for total QoL and each subscale were computed by summing over the related items and then normalized into 0–100 range by the following formulae:
Normalized score = (raw score-min)/(max − min) × 100.
In each subscale and QoL score, 0 represents excellent health, and a higher score shows the lower QoL.
Clinical signs and symptoms
Clinical signs and symptoms (dyspnea, cough, and sputum volume), number of exacerbations, 6-mi walk test (6-MWT), and lung parameters (spirometry, microbiology, and CT scan) were evaluated for every patient. Height was measured with an accuracy of 0.5 cm, and weight was measured to the nearest 100 g. Body mass index (BMI) was calculated as weight in kg divided by the height (m) squared. BMI <18.5 kg/m2 was considered as malnutrition.
Pulmonary function test
Lung function was evaluated by a spirometer (Jaeger Ltd Hochberg, Germany) per American Thoracic Society standards. Spirometry was performed in two steps before and after receiving 200 μg of salbutamol spray. Forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and FEV1/FVC values were defined based on absolute number as well as percentage. FEV1/FVC ratio of <70% was considered as airway obstruction. Based on FEV1, the patients were categorized into four groups (≤30%, 30%–50%, 50%–80%, and ≥80%). Although this classification is initially designed for COPD, it has also been used for bronchiectasis in numerous studies. Reversibility in FEV1 was utilized to categorize the patients into two groups: Nonreversible and reversible (R). The reversibility standard was defined as an increase of above 12% and 200 ccs in FEV1.
The six-minute walk test
The 6-MWT was performed in a 30-meter hall, and the distance walked per 6 min, the arterial oxygen saturation (satao2), and oxygen variations were recorded according to the standards. The level of dyspnea was calculated based on the Medical Research Council's Dyspnea Scale (MRC). This five-level scale evaluates the level of dyspnea on the daily activities of the individual. Level 5 is the worst severity of dyspnea, and Level 1 represents the lowest severity of dyspnea. For evaluating the severity of the cough, Leicester Cough Questionnaire (LCQ) was employed. A 19-item questionnaire that consists of three subscales (physical, psychological, and social) evaluating the effect of cough on the QoL. The score range for each subscale is 1–7, and the total score range is 3–21. A higher score represents the lower effect of cough on QoL.
Computerized tomography scan
The extent of pulmonary involvement was evaluated by an expert radiologist using high-resolution computed tomography and based on the Bhalla score. Lingula and middle lobe were considered as independent lobes. Each lung lobe was scored as 0 (no bronchiectasis), (1) (cylindrical bronchiectasis in a single lung segment), (2) (cylindrical bronchiectasis in more than one lung segment), or (3) (cystic bronchiectasis). The maximum score was 18 points.
For bacteriological studies, the morning sputum was collected after oral washing and transferred to the laboratory. In addition to smear, the culture was performed in a typical environment. The presence of <10 epithelial cells and more than 25 PMN cells per microscopic field was considered an acceptable sputum sample. According to the bacteria isolated from the smear and sputum cultures, the patients were categorized into three groups of Pseudomonas aeruginosa, nonpseudomonas aeruginosa, and negative culture. On the other hand, a 50-cc scaled container was given to the patient to determine the sputum volume, the patient was asked to collect the sputum for 24 h, and its volume was recorded. Exacerbation frequencies leading to the hospitalization of patients in the past year were recorded based on the reports of the patient.
Ethics Committee approved the research protocol of Qazvin University of Medical Sciences. All the patients signed the informed consent form.
Data were described as mean standard deviation (SD) and frequency (percent) for numeric and categorical variables, respectively. The normality of the numeric variables was assessed and confirmed by the Kolmogorov–Smirnov test, Shapiro–Wilk test, and q-q plot. For missing data, the mean replacement was used. Pearson's correlation coefficients assessed the relationships between QoL and the subscales' scores with other variables. Homojesity of varicances was also assessed by Leven test, which was satistified. The relationships between QoL and the subscales' scores and bacteriologic categories were evaluated by the Analysis of Variance followed by Tukey post hoc tests. To assess the simultaneous relationships and to control confounders, multiple linear regression analyses (Stepwise method) were carried out for QoL and the subscales' scores, separately. The independent variables were the variables significantly correlated to the total and subscales' scores in the correlation analysis. Squared of a simple correlation coefficient of determination coefficient (R2) was used to determine the contribution of identified variables in predicting each subscale and total score. All analyses were conducted using the SPSS software version 22 (IBM Corp., Armonk, NY, USA) at the alpha = 0.05 significance level.
| Results|| |
Seventy-three participants were eligible for the study and 11 patients were excluded as they didn't meet the criteria for various reasons. Five patients had tuberculosis, three patients had comorbidities at the same time (COPD and heart failure), and three patients did not complete the study. A total of 62 patients were entered the study. The mean age was 44 (SD15.8) years old. Twenty-four patients (38.7%) were male. The clinical and paraclinical characteristics of the study patients are presented in [Table 1]. The mean SGRQ total score was 53.1 (SD 19.8). The highest SGRQ score was in symptom and activity subscales. Forty-three patients (68%) had airway obstruction, and only 14 (20.2%) were reversible in FEV1. Eleven patients (17.7%) had malnutrition, and 19 patients (30%) were infected with Pseudomonas. In the 6-MWT, the average walked distance was 449 (SD 94) m, and 14 patients (22%) had a drop of above 4% in O2 saturation.
The correlations between QoL and the subscales scores' with other variables are shown in [Table 2]. The level of dyspnea, cough rate, and walked distance in 6-MWT had the highest correlation with the QoL score (P < 0.001). The sputum volume and number of admissions due to exacerbation had a strong correlation with the QoL score (P < 0.05). The sputum volume and cough rate were associated with all the QoL subscales. The respiratory obstruction rate based on the FEV1/FVC ratio, as well as the extent of pulmonary involvement based on a CT scan, was not associated with any of the QoL subscales.
|Table 2: Pearson correlation coefficient (r) between the study variables with subscale and quality of life and the subscales' scores|
Click here to view
The mean score of the activity subscale was 76.40 (SD 22.56), 54.19 (SD 25.69), and 52.94 (SD 24.11) in patients with Pseudomonas aeruginosa, nonpseudomonas aeruginosa, and negative culture, respectively (P = 0.025). The activity score in patients with Pseudomonas aeruginosa was significantly higher than patients with negative culture (P = 0.041). The activity score in patients with Pseudomonas aeruginosa was significantly different from the patients with nonpseudomonas aeruginosa with borderline significance (P = 0.056).
The results of the multiple regression analysis of the predictors of QoL are presented in [Table 3]. MRC, sputum volume, 6-MWD, exacerbation, LCQ, and BMI explained 62.2% of the variances in the total score. Among the subscales, the factors evaluated in this study could predict the highest (61.8%) and lowest (47.7%) variances in the activity subscale and symptom subscale, respectively. FEV1 was an independent predictor of the symptom and activity subscales, while cough was an independent predictor of the symptom subscale. None of the studied factors was an independent predictor of QoL.
|Table 3: Results of the multivariate regression examining the contributions of the studied variables to the quality of life and subscales' scores|
Click here to view
| Discussion|| |
This study was designed to evaluate the predictors of QoL among non-CF bronchiectasis patients. In this study, it was found that evaluating clinical symptoms based on objective criteria (dyspnea [MRC], cough [LCQ], and sputum volume) were related to QoL subscales. The maximum correlation belonged to dyspnea. In the regression analysis that was performed separately for each subscale, the independent relationship was found in the FEV1 level before bronchodilators on the activity subscale, in cough rate, and FEV1 on the symptom subscale, and dyspnea level on the impact subscale. However, none of the evaluated predictors were independently predicted the QoL score. However, the dyspnea level, cough rate, and sputum volume were the most related predictors for the QoL score. The extent of pulmonary involvement in CT scans had no significant relation with the QoL of patients. Although the severity of respiratory obstruction in the spirometry was not related to QoL in the primary analysis, it was found as an independent predictor in multiple regression analysis.
In previous works, different relations of the predictors were found with QoL. According to Martinz et al., the sputum volume, dyspnea level, and FEV1 level were the most related predictor in the QoL of the patients with bronchiectasis. However, according to Wilson et al., the frequency of exacerbation in the past year was the most related predictor of QoL. In most studies, the sputum volume was a predictor of the QoL of the patients with non-CF bronchiectasis.,, The dyspnea level in the patients with bronchiectasis was one of the predictors of QoL., In this study, the dyspnea level predicted other subscales, except the symptom subscale.
The findings of spirometry, microbial colonization, as well as the extent of pulmonary involvement in CT scans were the most related lung parameters of the patients with bronchiectasis. It seems that these parameters should have a significant effect on the QoL of patients with bronchiectasis. In the present study, the presence of Pseudomonas aeruginosa was related to lower QoL in the activity subscale. FVC, FEV1/FVC, and reversibility level of respiratory after salbutamol inhalation were not related to QoL. On the other hand, although FEV1 was an independent predictor of the activity subscale before bronchodilator consumption, it was not related to other subscales. No relationship was observed between the extent of pulmonary involvement in CT scan and QoL of the patients with bronchiectasis. Few studies have found such a correlation, but in different studies such as this one, no correlation was found between the extent of pulmonary involvement in CT scan and.,,, This indicates that the related factors for the daily life of the patients with bronchiectasis are beyond the extent of the lung tissue damage. The results were also different regarding the relationship of microbial colonization with the QoL of the patients with bronchiectasis. In some studies, the infection with Pseudomonas was negatively related to QoL;,, in some other works, the correlation has not been found. In this study, the infection with Pseudomonas aeruginosa only was related to the activity subscale, but not other subscales.
Bronchiectasis leads to weakness of the peripheral muscles, and the resulting decrease in exercise capacity, along with lung dysfunction, reduces the 6-MWD. In such conditions, the QoL of the patient is expected to be reduced. According to our findings, the 6-MWD was directly related to activity and impact subscales. However, it was not related to the QoL score. Although the primary arterial oxygen saturation was related to QoL, the oxygen drop during activity was not related to QoL. In some studies, 6-MWD has been related to QoL.
In this study, the primary analysis of several factors was related to QoL. However, in the multiple regression analysis, the independent relations were only observed for cough and FEV1 on the symptom, FEV1 level on activity, and dyspnea level (MRC) on the impact subscale. There was no independent predictor for QoL. Since bronchiectasis is a disease with many extrapulmonary effects, no factor independently predicted the QoL of patients. Moreover, since the socio-economic factors are also crucial in this regard, no independent predictor was found. However, the finding showed that the most important predictors of QoL were controllable factors. The clinical parameters with the most related predictors with the QoL of the patients with bronchiectasis. Some of the studies carried out on other chronic lung diseases such as COPD have also indicated that the clinical symptoms affected more considerably than the extent of pulmonary involvement in QoL. Accordingly, regardless of pulmonary impairment, the QoL of patients can be improved by controlling the clinical symptoms.
This study had some limitations. First, it's the cross-sectional design in which the cause and effect relationships could not be inferred. Cohort studies to pursue the change in QoL of the patients are suggested. Second, the small sample size that makes our study under power to detect the important relationships, especially in the multivariate analyses, more extensive or multicenter studies, to find and confirm the results are highly recommended. However, it should be noted that all patients in the only referral clinic in Qazvin were evaluated in this study.
| Conclusion|| |
In this study, it was found that the extent of pulmonary involvement in CT scan, spirometry, and microbial colonization of bronchi had the lowest effect on QoL, the predictors in which no intervention can be performed. Therefore, it seems that via the proper treatment of dyspnea, management of malnutrition, rehabilitation for promoting 6-MWD, and supportive interventions for reducing the sputum production, QoL of the patients can be improved.
We thank staffs of Velayat Hospital of Qazvin for their co-operation in our study.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Chalmers JD, Chotirmall SH. Bronchiectasis: New therapies and new perspectives. Lancet Respir Med 2018;6:715-26.
Hung CT, Li SF, Chung WS. Increased risk of acute coronary syndrome in patients with bronchiectasis: A population-based cohort study. Respirology 2018;23:828-34.
Martinez-Garcia MA, Miravitlles M. Bronchiectasis in COPD patients: More than a comorbidity? Int J Chron Obstruct Pulmon Dis 2017;12:1401-11.
Ozalp O, Inal-Ince D, Calik E, Vardar-Yagli N, Saglam M, Savci S, et al
. Extrapulmonary features of bronchiectasis: Muscle function, exercise capacity, fatigue, and health status. Multidiscip Respir Med 2012;7:3.
Nathan AM, de Bruyne JA, Eg KP, Thavagnanam S. Review: Quality of life in children with non-cystic fibrosis bronchiectasis. Front Pediatr 2017;5:84.
Kellett F, Robert NM. Nebulised 7% hypertonic saline improves lung function and quality of life in bronchiectasis. Respir Med 2011;105:1831-5.
Martínez-García MA, Perpiñá-Tordera M, Román-Sánchez P, Soler-Cataluña JJ. Quality-of-life determinants in patients with clinically stable bronchiectasis. Chest 2005;128:739-45.
Jones PW, Quirk FH, Baveystock CM, Littlejohns P. A self-complete measure of health status for chronic airflow limitation. The St. George's Respiratory Questionnaire. Am Rev Respir Dis 1992;145:1321-7.
Wilson CB, Jones PW, O'Leary CJ, Cole PJ, Wilson R. Validation of the St. George's Respiratory Questionnaire in bronchiectasis. Am J Respir Crit Care Med 1997;156:536-41.
Fallah Tafti S, Cheraghvandi A, Marashian M, Emami H, Mokri B. Measurement of the validity and reliability of the persian translation of the saint george respiratory questionnaire for patients with chronic obstructive pulmonary disease. Open Respir Med J 2009;3:107-11.
WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004;363:157-63.
Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A, et al
. Standardisation of spirometry. Eur Respir J 2005;26:319-38.
Aggarwal AN. How appropriate is the gold standard for diagnosis of airway obstruction? Lung India 2008;25:139-41.
] [Full text]
Chalmers JD, Goeminne P, Aliberti S, McDonnell MJ, Lonni S, Davidson J, et al
. The bronchiectasis severity index. An international derivation and validation study. Am J Respir Crit Care Med 2014;189:576-85.
Holland AE, Spruit MA, Troosters T, Puhan MA, Pepin V, Saey D, et al
. An official European Respiratory Society/American Thoracic Society technical standard: Field walking tests in chronic respiratory disease. Eur Respir J 2014;44:1428-46.
Stuart Harris C, Bishop J, Clark TJH, Dornhorst Ac, Cotes JE, Felenley DC, et al
. Long term domiciliary oxygen therapy in chronic hypoxic cor pulmonale complicating chronic bronchitis and emphysema: Report of the Medical Research Council Working Party. Lancet 1981;681-6.
Birring SS, Prudon B, Carr AJ, Singh SJ, Morgan MD, Pavord ID. Development of a symptom specific health status measure for patients with chronic cough: Leicester Cough Questionnaire (LCQ). Thorax 2003;58:339-43.
Bhalla M, Turcios N, Aponte V, Jenkins M, Leitman BS, McCauley DI, et al
. Cystic fibrosis: Scoring system with thin-section CT. Radiology 1991;179:783-8.
Smith DJ. Phenotyping bronchiectasis: Is it all about sputum and infection? Eur Respir Soc 2016;47:1037-9.
Polverino E, Blasi F, Ringshausen F, De Soyza A, Vendrell M, Goeminne P, et al
. Determinants of quality of life in bronchiectasis using the quality of life bronchiectasis (QOL-B) questionnaire: data from the EMBARC registry. Eur Respir J. 2018;52(suppl 62):OA4951.
Chan SL, Chan-Yeung MM, Ooi GC, Lam CL, Cheung TF, Lam WK, et al
. Validation of the Hong Kong Chinese version of the St. George Respiratory Questionnaire in patients with bronchiectasis. Chest 2002;122:2030-7.
Lynch DA, Newell J, Hale V, Dyer D, Corkery K, Fox NL, et al
. Correlation of CT findings with clinical evaluations in 261 patients with symptomatic bronchiectasis. AJR Am J Roentgenol 1999;173:53-8.
Martínez-García MA, Perpiñá-Tordera M, Soler-Cataluña JJ, Román-Sánchez P, Lloris-Bayo A, González-Molina A. Dissociation of lung function, dyspnea ratings and pulmonary extension in bronchiectasis. Respir Med 2007;101:2248-53.
Roberts HR, Wells AU, Milne DG, Rubens MB, Kolbe J, Cole PJ, et al
. Airflow obstruction in bronchiectasis: Correlation between computed tomography features and pulmonary function tests. Thorax 2000;55:198-204.
Finch S, McDonnell MJ, Abo-Leyah H, Aliberti S, Chalmers JD. A Comprehensive Analysis of the Impact of Pseudomonas aeruginosa
Colonization on Prognosis in Adult Bronchiectasis. Ann Am Thorac Soc 2015;12:1602-11.
Kamata H, Asakura T, Suzuki S, Namkoong H, Yagi K, Funatsu Y, et al
. Impact of chronic Pseudomonas aeruginosa
infection on health-related quality of life in Mycobacterium avium
complex lung disease. BMC Pulm Med 2017;17:198.
Lee AL, Button BM, Ellis S, Stirling R, Wilson JW, Holland AE, et al
. Clinical determinants of the 6-Minute Walk Test in bronchiectasis. Respir Med 2009;103:780-5.
Wheaton AG, Ford ES, Thompson WW, Greenlund KJ, Presley-Cantrell LR, Croft JB. Pulmonary function, chronic respiratory symptoms, and health-related quality of life among adults in the United States – National Health and Nutrition Examination Survey 2007-2010. BMC Public Health 2013;13:854.
[Table 1], [Table 2], [Table 3]