Does the duration of smoking cessation have an impact on hospital admission and health-related quality of life amongst COPD patients?

Abstract

Background

Lack of awareness among ex-smokers on the benefits of sustaining smoking cessation may be the main cause of their smoking relapse. This study explored health-related quality of life (HRQoL) and hospital admission amongst chronic obstructive pulmonary disease (COPD) patients according to the duration of smoking cessation.

Materials and methods

This study recruited COPD patients from a chest clinic who agreed to participate in a medication therapy-adherence program from January to June 2013. They were interviewed during their visits to obtain information regarding their smoking history and HRQoL. They were divided into three groups according to smoking status (sustained quitters, quit ≥5 years; quitters, quit <5 years; and smokers, smoking at least one cigarette/day). The effects of the duration of cessation on HRQoL and hospital admission were analyzed using a multinomial logistic model.

Results

A total of 117 participants with moderate COPD met the inclusion criteria, who were comprised of 41 sustained quitters, 40 quitters, and 36 smokers. Several features were similar across the groups. Most of them were married elderly men (aged >64 years) with low-to-middle level of education, who smoked more than 33 cigarettes per day and had high levels of adherence to the medication regimen. The results showed that sustained quitters were less likely to have respiratory symptoms (cough, phlegm and dyspnea) than smokers (odds ratio 0.02, confidence interval 0–0.12; P<0.001). The hospital admission rate per year was increased in quitters compared to smokers (odds ratio 4.5, confidence interval 1.91–10.59; P<0.005).

Conclusion

A longer duration of quitting smoking will increase the benefits to COPD patients, even if they experience increased episodic respiratory symptoms in the early period of the cessation. Thus, the findings of this study show the benefits of early smoking cessation.

Keywords:

• HRQoL
• hospital admission and hospital stay
• chronic obstructive pulmonary disease (COPD)

Introduction

Chronic obstructive pulmonary disease (COPD) is a condition characterized by airflow limitation that is not fully recoverable because there is a progressive inflammatory response to the gases.¹ Most epidemiological studies have reported smoking as the leading cause of COPD, and the disease causes much suffering and death worldwide.^2–4 In Malaysia, the prevalence of COPD is moderate to severe, with approximately 448,000 cases in the country,⁵ and costs for COPD expenditures in 2010 were estimated at RM2.8 billion, while the number of cases is consistently increasing year by year.⁶

Studies have shown that since the 1960s, smoking is a major risk factor that has caused COPD,⁷ and about 50% of the smokers would have developed the disease.⁸ Many Malaysians know that smoking can be harmful to human lung function, but the number of smokers has been increasing due to the lack of awareness on the dangers of COPD. In a small study conducted among university students in Malaysia, it was found that smoking prevalence was 29%,⁹ while an International Tobacco Control Malaysia report in 2012 reported that the occurrence of smoking had increased dramatically, especially among men, which accounted for almost half of all male smokers (46.4%), and slightly (1.6%) for women.¹⁰ In a study conducted by Lee et al, they found out that in Malacca, the rate of dropouts from smoking-cessation treatment programs was high,¹¹ and this may indirectly affect the smokers, particularly those who have been suffering from COPD.

There is some evidence that smoking cessation in COPD sufferers lowers hospital-admission rates^12,13 and improves health-related quality of life (HRQoL).^14,15 Reduction in lung function may increase hospital admissions due to respiratory dyspnea,¹⁶ which may impact on health status.¹⁷ Improvement in mental health after a number of years since quitting may affect the HRQoL.¹⁸ However, there is little evidence of an association between smoking status and health outcomes, such as hospital admissions and HRQoL. As we know, there are factors that cause smokers to continue smoking.¹⁹ Furthermore, the lack of knowledge by ex-smokers about the benefits of long-term smoking cessation may be the main cause of their smoking relapse.

In order to establish evidence on the benefits of cessation, we carried out a study that aimed to determine the impact of the duration of smoking cessation on clinical outcomes, such as HRQoL and hospital admission, in COPD clinical care. Our hypothesis was that the duration of quitting smoking may be beneficial to COPD patients. There are very few published studies that have revealed the benefits of quitting smoking among COPD patients.

Materials and methods

A total of 198 subjects were recruited from the Chest Clinic of Malacca Hospital from January to June 2013. They agreed to volunteer in the Respiratory Medication Therapy Adherence Programme since 2011. This study was approved by the Medical Research Ethics Committee, Ministry of Health, Malaysia.

Inclusion and exclusion criteria

We recruited both smokers and ex-smokers based on the diagnosis of COPD made by physicians, as stated in the patients’ clinical record with a Global initiative for chronic Obstructive Lung Disease (GOLD) criteria of a ratio of forced expiratory volume in 1 second (FEV₁) to forced vital capacity (FVC) <0.7.¹ Patients with main diagnoses of bronchiectasis, asthma, immobility, uncontrolled psychiatric illness, congestive cardiac failure, long-term oxygen-therapy use ≥15 hours/day, active tuberculosis, diffuse interstitial lung diseases, or pulmonary thromboembolic disease were excluded from the study. Patients who were admitted due to exacerbation 4 weeks before measuring the HRQoL during the follow-up visit were excluded as well.

Patient data

In order to obtain the patients’ data, a medical record review was carried out, which extracted data on demographics, comorbidities, previous admissions, medication regimens, and smoking-cessation history. A semistructured face-to-face interview was conducted to get information on the HRQoL (self-reported), smoking history, patients’ adherence to medication by using a modified Morisky Medication Adherence Score (high adherence if score >8, medium adherence if score 6–<8, and low adherence if score <6),²⁰ and inhaler-technique asessment.^21,22 The data were collected by an independent data collector who was not involved in the routine care.

Smoking-cessation status

Smoking status among the patients was derived based upon self-report taken from each visit, and monitored with the Fagerström Test for Nicotine Dependence (Malay version),²³ which was updated for each visit. The selection of cessation duration was based on studies that showed clinical effects that are observed after 5 years of long-term quitting.^12,24 Smoking status among the patients was classified as ex-smokers (sustained quitters and quitters) and smokers. A sustained quitter was defined as someone who had given up smoking more than 5 years prior to the interview, which met our definition of successful smoking cessation. Those respondents who had given up smoking less than 5 years previously were considered quitters. A smoker was defined as someone who had smoked at least one cigarette per day on a regular basis for at least 1 year.

HRQoL measurement

HRQoL was measured using the Clinical COPD Questionnaire (CCQ), which is a short questionnaire with great evaluative properties in measuring HRQoL.^25,26 The CCQ was chosen for this study because it has proven reliability, validity, responsiveness, and high reproducibility.²⁵ In addition, the CCQ is very concise and easily understood by patients,²⁷ while providing information on symptoms and damage that better reflected their HRQoL.²⁸ Permission was obtained prior to this study. The CCQ was administered for all subjects during each visit, with a different order for each patient. High total CCQ scores indicated poor HRQoL. The weekly version was used for the purpose of this study, and Cronbach’s alpha (α=0.83) indicated that there was homogeneity among the individual items in the questionnaires. The CCQ contains ten items, which are divided into three domains: symptoms, functional state, and mental state. The CCQ had been chosen as the best method for use in daily practice, as it is easy to administer, possesses good patient preference, and has similarity with psychometric properties.²⁷

Statistical analysis

All the data were double-entered into SPSS version 18.0 (IBM, Armonk, NY, USA). The patients’ demographic information and medical profile were calculated in the forms of means and standard deviation for continuous variables and percentages for categorical variables. Values of P<0.05 were considered statistically significant. Simple logistic regression comparison between participants was analyzed using one-way analysis of variance for numerical variables and Pearson’s χ² or Fisher’s exact test for categorical variables. To better describe the dependent variables or outcomes associated within the groups of participants, multinomial logistic analysis was used to obtain odds ratios. We compared sustained quitters with smokers, and quitters with smokers.

Results

Characteristics of study participants

During the study period, 117 patients met the inclusion criteria. There were 41 sustained quitters, 40 quitters, and 36 smokers. Table 1 displays patients’ characteristics. The patients were mostly married men, over 64 years old, not highly educated, and suffering from moderate-to-severe COPD, as reflected by mean FEV₁ ∼50% of the predicted value. The participants had begun smoking when they were 15 years old, and smoked more than 32 cigarettes per day. The participants reported a mean of 1.00 serious quit attempts and 82.9% of them quit with nonpharmacological treatment. About 50% of the subjects reported having comorbidities, which included hypertension, dyslipidemia, diabetes, osteoporosis, obesity, and hormonal disorder. The use of pulmonary medications was similar among the groups.

Table 1 Characteristics of the study population during study period (n=117)

	Sustained quitters (n=41)	Quitters (n=40)	Smokers (n=36)	P-valuea
Age, years, mean (SD)	67.46 (8.63)	64.70 (6.77)	64.08 (8.86)	0.15
Sex, n (%)
Male	40 (97.6)	39 (97.5)	33 (91.7)	0.35
Female	1 (2.4)	1 (2.5)	3 (8.3)
Ethnicity, n (%)
Malay	23 (56.1)	23 (57.5)	20 (55.6)	0.43
Chinese	17 (41.5)	14 (35.0)	12 (33.3)
Indian	0	2 (5.0)	4 (11.1)
Other	1 (2.4)	1 (2.5)	0 (0)
Marital status, n (%)
Single	2 (4.9)	0	1 (2.8)	0.38
Married	39 (95.1)	40 (100.0)	35 (97.2)
Education level, n (%)
Uneducated	4 (9.8)	1 (2.5)	4 (11.1)	0.35
Elementary school	24 (58.5)	26 (65.0)	22 (61.1)
Middle school	11 (26.8)	13 (32.5)	7 (19.4)
High school/college	2 (4.9)	0	3 (8.3)
Occupation, n (%)
Government	0 (2.4)	2 (5.0)	3 (8.3)	0.56
Private	4 (9.8)	2 (5.0)	4 (11.1)
Business	1 (2.4)	1 (2.5)	3 (8.3)
Retired	35 (85.4)	35 (87.5)	26 (72.2)
FEV1 %, mean (SD)	58.3 (11.2)	57.5 (10.5)	55.2 (9.3)	0.21
Age began smoking in years, mean (SD)	16.05 (3.38)	16.75 (3.74)	15.47 (5.96)	0.64
Cigarettes per day, mean (SD)	32.11 (12.83)	35.88 (9.86)	33.47 (14.87)	0.38
No attempt at quitting after getting COPD, mean (SD)	1.03 (1.31)	0.98 (1.32)	1.14 (1.31)	0.54
Experience on cessation treatment, n (%)	5 (21.37)	7 (20.99)	8 (22.22)	0.24
SABA, n (%)	41 (100.0)	40 (100.0)	35 (97.2)	0.32
SAAC, n (%)	29 (70.7)	24 (60.0)	24 (66.7)	0.59
LAAC, n (%)	18 (43.9)	18 (45.0)	15 (41.7)	0.96
ICS, n (%)	26 (63.4)	28 (70.0)	22 (61.11)	0.12
Methylxanthines, n (%)	26 (63.4)	28 (70.0)	16 (44.4)	0.064
Annual RMTAP attendance (mean, SD)	2.93 (1.85)	1.98 (1.21)	2.11 (1.77)	0.021
Number of medications, mean (SD)	6.39 (2.84)	6.50 (2.09)	4.75 (2.23)	0.003
Morisky score, mean (SD)	7.83 (0.28)	7.86 (0.24)	7.78 (0.83)	0.83
Inhaler technique, n (%)
Proper	37 (90.24)	33 (100.0)	35 (97.22)	0.42
Improper	4 (9.76)	7 (17.5)	1 (2.78)
Body mass index kg/m^2, mean (SD)	23.63 (4.33)	23.62 (3.19)	22.04 (4.32)	0.14
Comorbidity, n (%)	23 (56.10)	21 (52.5)	17 (47.22)	0.67
Number of comorbid conditions, mean (SD)	1.88 (1.18)	1.65 (1.25)	1.22 (1.17)	0.067
Hypertension, n (%)	21 (51.22)	17 (42.50)	16 (44.44)	0.38
Dyslipidemia, n (%)	12 (29.3)	6 (15.0)	7 (19.4)	0.28
Diabetes mellitus, n (%)	8 (19.5)	13 (32.5)	4 (11.1)	0.07
Obesity, n (%)	0	0	1 (2.8)	0.32
Depression, n (%)	1 (2.4)	0	0	0.39
Osteoporosis, n (%)	0	0	2 (5.6)	0.10
Hormonal disorder, n (%)	2 (4.9)	0	1 (2.8)	0.38

Notes:

a Pearson’s chi-squared/Fisher’s exact test were applied in calculating P-values.

Abbreviations: SD, standard deviation; COPD, chronic obstructive pulmonary disease; FEV₁, forced expiratory volume in 1 second; SABA, short-acting β₂-agonist; LABA, long-acting β₂-agonist; SAAC, short-acting anticholinergic; LAAC, long-acting anticholinergic; ICS, inhaled corticosteroid; RMTAP, Respiratory Medication Therapy Adherence Programme.

Table 2 shows a summary of the clinical characteristics and HRQoL variables of the three categories of patients. Mean annual hospital admission was statistically significant or was found to be different among quitters compared to smokers (odds ratio 4.5, confidence interval 1.91–10.59; P=0.005), while mean length of stay was not significantly different between groups.

Table 2 Summary of clinical outcomes

	Sustained quitters (SQ) (n=41)	Quitters (Q) (n=40)	Smokers (S) (n=36)	P-value	SQ vs S	P-value	Q vs S	P-value
					Odds ratio (95% Cl)		Odds ratio (95% Cl)
Annual hospital admission due to COPD, mean (SD)	0.44 (0.74)	1.43 (1.17)	0.97 (1.46)	0.05	1.43 (0.57–3.62)	0.05	4.50 (1.91–10.59)	<0.05
Number of days warded, mean (SD)	2.1 (3.65)	8.43 (9.78)	5.39 (8.62)	0.14	1.02 (0.77–1.13)	0.188	1.04 (0.98–1.11)	0.19
CCQ symptoms	1.94 (0.43)	2.39 (0.61)	2.60 (0.80)	<0.001a	0.02 (0–0.12)	<0.001	0.61 (1.12–3.02)	0.54
CCQ functional	2.20 (0.49)	2.43 (0.78)	2.61 (0.72)	0.03b	2.06 (0.65–6.52)	0.22	0.75 (0.24–2.37)	0.63
CCQ mental	1.70 (0.84)	1.58 (0.96)	1.92 (1.14)	0.31	2.44 (0.42–14.22)	0.32	0.76 (0.14–4.24)	0.76

Notes: Post hoc analyses with Tukey’s honest significant difference –

a “smokers and sustained quitters” and “quitters and sustained quitters”

b “smokers and sustained quitters”.

Abbreviations: CI, confidence interval; SD standard deviation; COPD, chronic obstructive pulmonary disease; CCQ, Clinical COPD Questionnaire.

Differences in domain scores of the CCQ were not statistically significant, except for the symptom domain, which showed improvement in sustained quitters compared to smokers (odds ratio 0.02, confidence interval 0–0.12; P=0.001). In short, patients who were sustained quitters were less likely to have high symptoms than smokers if the scale of symptoms was decreased.

Discussion

There are several limitations of this study. Data were compared with respect to demographics, comorbidities, smoking status, hospital admission, medication adherence and health status, from the main hospital in Malacca. Smoking is a personal health problem, and the patients received routine monitoring in the Chest Department, which is also the only such department in the state. Some patients felt that quitting smoking is a horrible experience¹⁹ and improved medication use could lead to better health even in those who fail to stop smoking. This study set out with the aim of assessing the effects of smoking cessation on hospital admission and HRQoL. The results showed that quitters were more often readmitted than smokers without change in HRQoL compared to smokers. Another finding upon hospital admission was that sustained quitters had improved symptoms, such as cough, shortness of breath, and phlegm production, compared to smokers. Very little was found in the literature on the effects of smoking cessation on HRQoL in COPD, except for intervention studies. The positive impact of smoking cessation on mortality and morbidity is well established,¹³ but few studies have showed the relevant impact on HRQoL and readmission. Furthermore, HRQoL had been determined in several intervention studies to achieving management goals in COPD.^29,30

Unlike the others studies examining HRQoL and smoking status, comorbid conditions were considered as potential confounders influencing changes in HRQoL and were controlled in the analysis. The participants were selected homogeneously, based on demographics, COPD severity, respiratory treatment, and medication adherence and comorbidity. Interviewed participants (n=117, 95.7% male and moderate COPD) were representative of the total group with a mean age 65.5 years, while 52.14% had at least one additional comorbid chronic condition. Assuming that the prediction of quit smoking may be beneficial to patients with COPD, there are two possibilities of benefits of cessation. Firstly, quit smoking can reduce hospital admissions and reduce respiratory symptoms (dyspnoea, phlegm, and cough), compared to smokers. Secondly, due to the long period of cessation, prompted sustained quitters also obtain similar benefits, but quitters showed significantly high hospital admission compared to sustained quitters.This finding supports the theory that smoking cessation increases respiratory symptoms but may be beneficial to the lungs in slowing the rapid decline of lung function.³¹ The effect of long-term smoking cessation had also been reported by Lapperre et al, who suggested that the increase in respiratory symptoms may be caused by changes in the bronchial epithelium, which is considered as the process of recovery for smokers after 3.5 years of quitting smoking.²⁴ The other factor that may have led to frequent hospital admittance was the length of time patients had suffered from COPD. A study carried out by Cao et al found that patients with a longer history of diagnosis had approximately twofold-higher chances of frequent hospital admissions than patients with shorter duration who had been diagnosed with COPD (odds ratio 2.51, 95% confidence interval 1.39–4.53).³²

Although COPD patients successfully quit smoking, their respiratory functions decrease with increased age.³³ Moreover, patients with COPD have a low perception of dyspnea.¹⁷ In this study, comparing sustained quitters with quitters showed that the mean score for CCQ symptoms of sustained quitters was significantly improved compared to smokers. Therefore, this finding reflected that sustained quitters generally have more dyspnea symptoms than smokers. Therefore, the decline of lung function and having poor symptoms do not reflect poor HRQoL. Jones et al also reported that decline in the lung-function parameter was not strongly associated with perception or response on symptoms and HRQoL.³⁴

Smoking cessation has been related to HRQoL improvement. Previous studies have supported the view that smoking cessation can improve HRQoL.^14,15 In contrast to earlier findings, however, the findings of the previous study showed that quitting smoking after smoking for long durations did not improve HRQoL.¹⁴ Further investigations focusing on the HRQoL impact of quitting smoking are needed, with a large prospective study in Malaysia to find firm evidence of the benefits of long-term cessation specifically HRQoL by using the sensitive tool. As far as the data are concerned, this study managed to provide support for differences in HRQoL in the short term for quitting among COPD patients.^15,35

Most COPD patients quit smoking with nonpharmacological treatment and stop after the occurrence of health problems, as health concerns are a major reason to quit smoking.³⁶ After a bad experience disappears, they feel that quitting smoking is not beneficial to them, which consequently makes it difficult for them to remove the habit. In this situation, focus should be given to pharmacological treatment. Ultimately, to overcome the limitations of the study design, these results need to be confirmed in prospective, long-term studies with large sample sizes. Despite its imperfections, this study contributes to an investigation that has been lacking so far, and may provide new insight into the process of smoking cessation among patients with COPD in Malaysia.

Conclusion

In summary, this study supports differences in HRQoL by smoking status. Sustained quitters had fewer symptoms than smokers, resulting in insignificant differences in hospital admissions, which contrasted with the quitters. In short, the longer the duration of quitting smoking may have health benefits for COPD patients, even if they have to accept discomfort in the early stage of smoking cessation. These findings challenge the assumption that quitting smoking alone after years of smoking will result in substantially improved HRQoL and reduced hospital admissions. The result may have implications for medication-management programs to encourage patients to stop smoking, as well as focus on patients’ adherence to the treatment. Further research is required to corroborate and determine the longer-term implications or impact of quitting duration on clinical outcomes.

Acknowledgments

The authors would like to thank the patients and staff from the Chest Clinic of the Malacca Hospital. This study received funding from the National Institutes of Health (NIH), Ministry of Health Malaysia. We would also like to thank the Clinical Research Centre (CRC), Malacca Hospital, and the Ministry of Health Malaysia for supporting this study.

Disclosure

The authors report no conflicts of interest in this work.