Ricardo Polosa1, Jaymin B Morjaria2, Umberto Prosperini3, Barbara Busà4, Alfio Pennisi5, Mario Malerba6, Marilena Maglia1, Pasquale Caponnetto1. 1. Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy. 2. Department of Respiratory Medicine, Royal Brompton and Harefield Hospital Foundation Trust, Harefield Hospital, Hill End Road, Harefield UB9 6JH, UK. 3. Hospital 'San Vincenzo', Taormina, Italy. 4. UOC Farmacia Ospedaliera, Hospital ARNAS Garibaldi, Catania, Italy. 5. Department of Respiratory Medicine, Hospital Clinics 'Musumeci-Gecas', Catania, Italy. 6. Center of Excellence for the Acceleration of Harm Reduction (CoEHAR), Università di Catania, Catania, Italy.
Abstract
BACKGROUND AND AIMS: The long-term health effects of the use of electronic cigarettes (ECs) in patients with chronic obstructive pulmonary disease (COPD) are largely unexplored. We present findings from a 5-year prospective assessment of respiratory parameters in a cohort of COPD patients who substantially reduced conventional smoking or achieved abstinence by switching to ECs. METHODS: Patients were evaluated prospectively for their measurements of respiratory exacerbations, spirometric indices, quality of life using the COPD assessment tool (CAT), 6-min walk distance (6MWD), as well as conventional cigarette consumption. Baseline measurements prior to switching to EC use were compared with follow-up visits at 12-, 24-, 48- and 60-months. Age- and sex-matched COPD patients reporting to be regular smokers (not using ECs) were the reference group for the analysis. RESULTS: Complete data were available from 39 patients. Those in the EC user group achieved a marked decline in cigarette smoking or abstinence. COPD EC users had a significant diminution in COPD exacerbations; with the mean (±SD) exacerbation rate falling from 2.3 (±0.9) at baseline to 1.1 (±1.0) at 5 years (p < 0.001), whereas no significant changes were observed in the control group.Significant and constant improvements in lung function, CAT scores and 6MWD were reported in the EC user group over the 5-year observation period compared with the reference group (p < 0.05). CONCLUSION: The present study suggests that EC use may ameliorate objective and subjective COPD outcomes, and that the benefits gained appear to persist long term. EC use for abstinence and smoking reduction may ameliorate some of the harm resulting from tobacco smoking in COPD patients.
BACKGROUND AND AIMS: The long-term health effects of the use of electronic cigarettes (ECs) in patients with chronic obstructive pulmonary disease (COPD) are largely unexplored. We present findings from a 5-year prospective assessment of respiratory parameters in a cohort of COPD patients who substantially reduced conventional smoking or achieved abstinence by switching to ECs. METHODS: Patients were evaluated prospectively for their measurements of respiratory exacerbations, spirometric indices, quality of life using the COPD assessment tool (CAT), 6-min walk distance (6MWD), as well as conventional cigarette consumption. Baseline measurements prior to switching to EC use were compared with follow-up visits at 12-, 24-, 48- and 60-months. Age- and sex-matched COPD patients reporting to be regular smokers (not using ECs) were the reference group for the analysis. RESULTS: Complete data were available from 39 patients. Those in the EC user group achieved a marked decline in cigarette smoking or abstinence. COPD EC users had a significant diminution in COPD exacerbations; with the mean (±SD) exacerbation rate falling from 2.3 (±0.9) at baseline to 1.1 (±1.0) at 5 years (p < 0.001), whereas no significant changes were observed in the control group.Significant and constant improvements in lung function, CAT scores and 6MWD were reported in the EC user group over the 5-year observation period compared with the reference group (p < 0.05). CONCLUSION: The present study suggests that EC use may ameliorate objective and subjective COPD outcomes, and that the benefits gained appear to persist long term. EC use for abstinence and smoking reduction may ameliorate some of the harm resulting from tobacco smoking in COPD patients.
Tobacco smoking is a major cause of preventable premature mortality worldwide, caused
primarily by lung cancer, cardiovascular disease and chronic obstructive pulmonary
disease (COPD).[1,2]COPD is a condition epitomised by ongoing inflammation and remodelling of the
airways, culminating in respiratory symptoms, progressive lung function
deterioration, respiratory failure and death.[3-5] Long-term exposure to a variety
of smoke intoxicants is assumed to be the cause of this distinct airway inflammatory
response.[6,7]
Abstinence from conventional tobacco use is the only reported evidence-based
strategy that improves the prognosis for COPD.[8,9] Besides, quitting has been shown
to attenuate the decline in lung function and to enhance overall health
status.[10-12] In addition,
smoking cessation attenuates the risk of developing other tobacco-related illnesses.[2]While addressing smoking cessation is a priority for smokers with COPD, these
patients experience high failure rates in their quit attempts.[13,14] Licensed
quitting therapies [i.e. nicotine replacement therapy (NRT), bupropion and
varenicline] appear to have only fairly small or variable effects on sustained
cessation in patients with COPD who smoke.[15-17] Patients experience difficulty
in completely ceasing nicotine use, and may require prolonged treatment and/or
sustained nicotine use to attain continued abstinence from smoking. Obviously, a
better understanding of predictors of quitting attempts and quitting success in
smoking cessation could help routine clinical consultation and may improve
outcomes,[18,19] though this knowledge is lacking for COPD patients who smoke.
An alternative for patients with COPD who are having difficulty quitting is one of
the pragmatic strategies of tobacco harm reduction (THR), substituting
combustion-free nicotine delivery strategies [i.e. electronic cigarettes (ECs)] for
cigarette smoking to achieve significant health gains. The harm reduction potential
mechanism is to reduce combustible tobacco chemicals that are responsible for the
devastating aetiology of tobacco-related morbidity and mortality. As pulmonologists,
we must be cognisant of the damage caused by tobacco smoke, and be aware of the
limited negative health effects of nicotine when consumed at low concentrations.[20] Of course, the use of electronic cigarettes is a strategy for treating
patients who smoke, and not an endorsement of its use by those who do not smoke and
youth, who should be discouraged from consuming nicotine in any form.ECs have been gaining acceptance by smokers for decreasing their cigarette
consumption, saving money compared with cigarettes, and seeking a much less harmful
alternative to smoking that allows them to have a ‘smoking encounter without
smoking’.[21-24] The advantage of ECs is that
they do not contain tobacco, nor do they operate with the combustion temperatures
that generate smoke toxicants. However, they are not completely safe, though in
routine conditions of use, laboratory testing has demonstrated that the amount of
chemical constituents in emissions from EC aerosols is considerably lower than
smoking conventional cigarettes.[23,25,26] The significant reductions in
toxic exposures from substituting EC for conventional cigarette consumption is
expected to bring about substantial health gains. ECs as a THR strategy may save
more lives more swiftly than possible previously. However, the odds of completely
abstaining from conventional cigarettes for EC users are variable.[27-29] Most studies suggesting low
quit rates for ECs have investigated earlier poor quality vaping products with
inadequate nicotine delivery profile.[30,31] On the contrary, more recent
(and better designed) randomised controlled trials (RCTs) using high-quality vaping
products are now showing remarkable quit rates – even compared with NRTs.[32,33] Nevertheless,
data on the risk–benefit ratio of EC use in COPD smokers is limited.United States (US) surveys from 2014 and 2015 indicate that former smokers with COPD
may be using ECs to avoid relapse.[34] A large cross-sectional survey of 1190 COPD EC users found that 75.7% stated
that they had benefits in respiratory symptoms after switching, and only 0.8%
reported a worsening of symptoms.[24]In a retrospective analyses of smokers with COPD who had been ‘vaping’ (the acting of
inhaling from ECs) routinely for at least 24 months reported no negative effects.[35] Furthermore, the same study found a marked reduction in yearly exacerbations
of COPD and overall health status improvements assessed with the COPD assessment
tool (CAT) and physical activity assessed using the 6-min walk distance test (6MWT).
A subsequent prospective follow up at 3 years of the same cohort of COPD patients
using ECs regularly, by the same group of researchers, confirmed that these
objective and subjective benefits persist long term.[36]Nonetheless, more knowledge on the long-term health impacts of routine ‘vaping’ in
this patient population is essential in order to provide sound advice to COPD
patients who cannot quit or who are not interested in quitting.The aim of the current study was to validate and expand these initial findings by
reporting objective and subjective health parameters of subsequent follow ups in the
same cohort of COPD patients who continued to vape daily for up to 5 years. Findings
were compared with age- and sex-matched COPD patients who smoked regularly.
Methods
Patient population
A review of medical records of COPD patients followed up routinely in outpatient
clinics of four Italian hospitals was conducted. A diagnosis of COPD was made in
accordance to the criteria set out by the Global initiative for Chronic
Obstructive Lung Disease (GOLD).[37] Regarding pharmacological treatment, patients were taking various
combinations of inhaled corticosteroids with bronchodilators (including
long-acting β2 agonists and long-acting anti-cholinergics, individually or in
combination) as recommended by GOLD guidelines.Over a period of approximately 6 years (September 2013–October 2019), data were
extracted from patients’ medical records from baseline and follow-up visits.
Details of these patients’ population have been described previously.[35,36] In brief,
eligible COPD patients reported regular daily EC use at their scheduled
outpatients appointments. They were using their own vaping product as part of
their choice in embracing a new tobacco-smoke-free lifestyle. Those who reported
daily ECs use on at least two successive outpatients appointments (no less than
12 months apart) were included in the study (EC users group). The baseline visit
was considered as the clinic visit prior to the first of the two consecutive
follow-up visits when the patients were not using ECs. EC devices and
corresponding nicotine e-liquid strengths were noted. Datasets from age- and
sex-matched COPD patients who regularly smoked conventional cigarettes (and not
using ECs) over the same observation period and attending the same clinics were
included as a reference group (cigarette smokers group). Outpatients in this
study group were not keen to stop smoking, in spite of brief cessation advice
routinely offered at every contact. The study objectives and design were not
known to the hospital staff; data extraction was carried out from patients’
medical record.In the current study, data analyses was conducted for follow-up visits that were
timed at approximately 12, 24, 48 and 60 months from baseline. Approval for the
study was acquired by the coordinating centre’s ethics review board at
‘Policlinico-Vittorio Emanuele Hospitals’ (approval number 647 on 14 May 2013)
and each patient provided written informed consent.
Study design and study assessments
Study design and assessments of the study have been detailed
previously.[35,36] In brief, a review of patients’ clinical notes at baseline
(when COPD patients in the EC group first reported EC use), at 12 ± 1.5
(follow-up visit 1; F/up1) and at 24 ± 2.5 (follow-up visit 2; F/up2) months to
obtain data about (i) their respiratory symptoms, (ii) smoking status
[biochemically confirmed by exhaled breath carbon monoxide (eCO)], cigarette
consumption per day (cig/day), as well as EC use, (iii) the annual number of
severe COPD exacerbations, (iv) lung function parameters post-bronchodilator
[forced expiratory flow in 1 s (FEV1); forced vital capacity (FVC); expiratory
ratio (FEV1/FVC)]; (v) CAT scores and (vi) 6MWD.In the current study, COPD EC user and COPD control groups were evaluated
prospectively for changes in the same objective and subjective parameters at
follow-up visits at 48 ± 3 months (follow-up visit 3; F/up3) and 60 ± 3 months
(follow-up visit 4; F/up4).Additionally, we also assessed variations in the relative proportion of COPD GOLD
stages over the 5-year study period.For the purposes of the study severe exacerbations were defined as changes in the
patients’ pulmonary symptoms necessitating antibiotics and/or oral
corticosteroids via the primary care physician, emergency
department attendance and/or admission to hospital. Nebulised therapy may have
been administered to attain improvements in the patients’ condition for the
latter two instances.The CAT is a health status validated questionnaire used in COPD patients. A two
unit difference is considered a minimal clinical important difference in
patients’ symptomatology.[38,39]The 6MWD is an assessment of patients’ overall ability to conduct everyday
activities. This test was offered only to patients who were agreeable and
physically able to complete the test.[40]
Smoking/vaping status
Abstinence from smoking was defined as a complete self-reported termination of
conventional smoking (not even a puff) from the prior study visit; which was
confirmed biochemically at F/up3 and 4 by eCO levels of ⩽7 ppm.COPD EC users who completely ceased conventional tobacco smoking were defined as
quitters (single users), and patients who reported using ECs in combination with
conventional tobacco smoking were defined as dual users.
Data management and statistical analyses
Demographic and clinical data for all patients recruited onto the study were
recorded in their case noted at the time of the outpatient visit. Patient data
were extracted for the current study from case records onto an electronic
spreadsheet before statistical computation. Of note, the investigators engaged
in the study analyses were not involved in the medical management of the study
participants or in the extraction of the data from the case records.In the current analyses patient parameters are presented as means [± standard
deviation (SD)] and medians [interquartile range (IQR)] for parametric and
non-parametric data, respectively. Data from single and dual users were also
extracted for secondary analyses. Statistical analyses using the student’s
t-test and Wilcoxon-signed rank test were conducted for
parametric or non-parametric data, respectively. Within-group dual and single
users had similar statistical analyses conducted from baseline, and these
analyses were excluded in the overall analyses. Analysis of repeated measures
with Bonferroni correction between the two study groups was conducted for
repeated parameter measurements over the 5-year period. A two-tailed
p value of less than 0.05 was considered to signify
statistical significance. All statistical evaluations were performed with the
Statistical Package for Social Science (SPSS for Windows, version 20.0, Chicago,
IL, USA).
Results
Patient characteristics
At 60 months, complete datasets were available for 39 COPD patients (33 male, 6
female) of the 48 individuals enrolled at baseline, 19 in the COPD smokers group
and 20 in the COPD EC user group. Datasets from four patients (16.7%) were
excluded in the EC user group due to relapse to cigarette smoking or quitting
vaping. In the COPD smokers group, dataset from five patients were excluded or
unavailable because two quit smoking (8.3%), one moved to another city, one
developed a malignancy and was transferred to another clinic and one died. The
baseline demographics, parameters assessed and COPD GOLD staging are outlined in
Table 1. There
were no statistical differences between the two study groups for any of the
parameters. Patients had mild-to-severe airway obstruction as per the COPD GOLD
guidelines, and were managed accordingly.[37]
Table 1.
Baseline demographics of participants who completed 60-months of
evaluation (before switching to ECs).
COPD controls (n = 19)
COPD EC users (n = 20)
Baseline p-value between
groups
Age[¥]
65 (±5.7)
66.9 (±5.8)
0.338
Sex
16M, 3F
17M, 3F
–
COPD GOLD Staging
Stage 1
2
2
–
Stage 2
5
6
–
Stage 3
8
9
–
Stage 4
4
3
–
post-BD FEV1* (l)
1.46 (1.19, 1.67)
1.25 (0.98, 1.78)
0.508
post-BD FVC* (l)
2.31 (2.10, 2.54)
2.49 (2.08, 2.65)
0.785
%FEV1/FVC[¥]
60.9 (±6.8)
55.8 (±10.8)
0.088
Pack years of smoking[¥]
49.7 (±6.8)
52.8 (±11.0)
0.304
Cig/day[¥]
20.2 (±2.9)
22.1 (±4.7)
0.140
FTND
5.8 (±3.1)
5.9 (±3.3)
0.355
CAT score*
20 (17, 24.5)
21 (17, 25.3)
0.714
COPD exacerbations[¥]
2 (±1.1)
2.3 (±0.9)
0.350
6MWD* (m)
285 (219.3, 361.8)
278 (186, 313)
0.463
Co-morbidities
Respiratory failure
4 (21%)
5 (25%)
–
Chronic heart failure
4 (21%)
4 (20%)
–
Coronary heart disease
2 (10.5%)
3 (15%)
–
Hypertension
9 (47.4%)
8 (40%)
–
Diabetes
4 (21%)
5 (25%)
–
Obstructive sleep apnoea
6 (31.6%)
6 (30%)
–
Chronic kidney failure
1 (5.3%)
0
–
Liver cirrhosis
1 (5.3%)
0
–
Lung cancer
0
1 (5%)
–
Pulmonary hypertension
0
1 (5%)
–
Gastroesophageal reflux
5 (26.3%)
4 (20%)
–
Degenerative joint disease
4 (21%)
5 (25%)
–
Osteoporosis
3 (15.8%)
3 (15%)
–
Depression/anxiety
4 (21%)
5 (25%)
–
Others
3 (15.8%)
3 (15%)
–
6MWD, 6-min walk distance; BD, bronchodilator; CAT, COPD assessment
tool; Cig, conventional cigarettes; COPD, chronic obstructive
pulmonary disease; EC, electronic cigarettes; F, Female; FEV1,
forced expiratory volume in 1 s; FTND, Fagerstrom test nicotine
dependence; FVC, forced vital capacity; GOLD, global initiative for
chronic obstructive lung disease; IQR, interquartile range; M, Male;
SD, standard deviation.
Median (IQR).
Mean (±SD).
Baseline demographics of participants who completed 60-months of
evaluation (before switching to ECs).6MWD, 6-min walk distance; BD, bronchodilator; CAT, COPD assessment
tool; Cig, conventional cigarettes; COPD, chronic obstructive
pulmonary disease; EC, electronic cigarettes; F, Female; FEV1,
forced expiratory volume in 1 s; FTND, Fagerstrom test nicotine
dependence; FVC, forced vital capacity; GOLD, global initiative for
chronic obstructive lung disease; IQR, interquartile range; M, Male;
SD, standard deviation.Median (IQR).Mean (±SD).
Smoking consumption and EC use
In the COPD EC users, a significant reduction in conventional cigarette use was
noted with a mean (±SD) cigarettes/day of 22.1 (±4.7) at baseline, falling to
2.2 (±2.2), 1.8 (±2), 1.4 (±1.6) and 1.4 (±1.6) at F/up1, F/up 2, F/up 3 and
F/up 4, respectively (p < 0.001 for all four visits) (Table 2; Figure 1). No significant
changes were observed in the COPD controls in the number of cigarettes smoked
per day. In the COPD EC user group, complete abstinence (quitters; exclusive EC
users or single users) in cigarettes smoked per day was reported in 9/20 (45%)
at F/up 4; and in those continuing to smoke (dual users) in 11/20 (55%) (Table 3). There was a
considerable decline in conventional cigarette consumption in dual users with
the mean (±SD) cigarettes/day at baseline decreasing from 23.7 (±5.4) to 4
(±1.2), 3.6 (±1.3), 3.1 (±0.6) and to 3.0 (±0.5) at F/up 1, F/up 2, F/up 3 and
F/up 4, respectively (p < 0.001 for all four visits) (Table 3). Of note, all
the dual users consistently reduced their daily smoking by at least 80% of their
baseline consumption throughout the whole duration of the study. Overall, there
was a significant reduction in conventional cigarettes smoked per day between
the study groups over the 60-month observation period
(p < 0.001).
Table 2.
Changes in study parameters from baseline at 12-, 24-, 36-, 48- and
60-month follow-up visits in COPD controls and COPD EC users.
Baseline
12-month follow-up
Within group p value
versus baseline
24-month follow-up
Within group p value
versus baseline
48-month follow-up
Within group p value
versus baseline
60-month follow-up
Within group p value
versus baseline
Overall between group p value
from baseline
COPD Controls (n = 19)
post-BD FEV1* (l)
1.46 (1.19, 1.67)
1.41 (1.17, 1.61)
0.532
1.36 (1.18, 1.61)
0.747
1.34 (1.17, 1.61)
0.732
1.33 (1.13, 1.53)
0.387
0.004
post-BD FVC* (l)
2.31 (2.10, 2.54)
2.27 (2.20, 2.57)
0.135
2.31 (2.18, 2.66)
0.268
2.33 (2.11, 2.45)
0.286
2.34 (2.20, 2.58)
0.840
0.016
%FEV1/FVC
60.9 (±6.8)
59.7 (±6.9)
0.008
59.6 (±6.9)
0.026
60.2 (±8.7)
0.637
57.9 (±9.1)
0.074
0.038
Cig/day[¥]
20.2 (±2.9)
20.5 (±3.6)
0.618
19.9 (±5.0)
0.810
17.9 (±3.9)
0.061
18.3 (±3.4)
0.091
<0.001
CAT score*
20 (17, 24.5)
20 (17.5, 23)
0.294
20 (15, 24)
0.367
20 (18, 23)
0.618
20 (17.5, 23.5)
0.962
0.158
COPD Exacerbations[¥]
2 (±1.1)
2.2 (±1)
0.494
2 (±1.1)
1.000
1.8 (±1.0)
0.385
1.7 (±1.1)
0.331
0.046
6MWD*[∑] (m)
285 (219.3, 361.8)
270 (227, 372.5)
0.286
277.5 (243, 374.8)
0.213
306 (245.3, 355.5)
0.328
305 (243, 342.5)
0.722
0.012
COPD EC users (n = 20)
post-BD FEV1* (l)
1.25 (0.98, 1.78)
1.23 (0.96, 1.73)
0.038
1.29 (0.95, 1.69)
0.093
1.40 (1.10, 1.80)
0.008
1.42 (1.22, 1.95)
0.001
post-BD FVC* (l)
2.49 (2.08, 2.65)
2.51 (2.15, 2.73)
0.046
2.46 (2.07, 2.86)
0.156
2.54 (2.14, 3.00)
0.008
2.70 (2.17, 3.03)
0.002
%FEV1/FVC[¥]
55.8 (±10.8)
55.6 (±10.8)
0.806
56.1 (±10.7)
0.558
57.5 (±9.0)
0.147
58.2 (±9.2)
0.054
Cig/day[¥]
22.1 (±4.7)
2.2 (±2.2)
<0.001
1.8 (±2)
<0.001
1.4 (±1.6)
<0.001
1.4 (±1.6)
<0.001
CAT score*
21.0 (17, 25.3)
18 (16, 20.5)
<0.001
18 (14.8, 20)
0.002
17.5 (14.8, 22.5)
0.033
17 (14.8, 20.8)
0.020
COPD exacerbations[¥]
2.3 (±0.9)
1.8 (±1)
0.004
1.4 (±0.9)
<0.001
1.2 (±1.0)
<0.001
1.1 (±1.0)
<0.001
6MWD*[∑] (m)
278 (186, 313)
305 (217.6, 337.8)
0.007
319.3 (225.6, 355.5)
0.007
347.5 (232.5, 404.5)
0.005
344.5 (239, 394.8)
0.005
6MWD, 6 min walk distance; BD, bronchodilator; CAT, COPD assessment
tool; Cig, conventional cigarettes; COPD, chronic obstructive
pulmonary disease; EC, electronic cigarettes; FEV1, forced
expiratory volume in 1 s; FVC, forced vital capacity; IQR,
interquartile range; SD, standard deviation.
Median (IQR).
Mean (±SD).
10 subjects in the COPD EC user group and 11 in the COPD control
group at all time points.
Figure 1.
Number of cigarettes smoker per day at baseline, follow-up visit 1
(12 ± 1.5 months), visit 2 (24 ± 2.5 months), visit 3 (48 ± 3 months)
and visit 4 (60 ± 3 months) separately for COPD electronic cigarettes
users (closed triangles) and COPD controls (closed circles). All data
expressed as mean and error bars are standard deviation of the mean.
Changes in study parameters from baseline at 12-, 24-, 36-, 48- and
60-month follow-up visits in COPD controls and COPD EC users.6MWD, 6 min walk distance; BD, bronchodilator; CAT, COPD assessment
tool; Cig, conventional cigarettes; COPD, chronic obstructive
pulmonary disease; EC, electronic cigarettes; FEV1, forced
expiratory volume in 1 s; FVC, forced vital capacity; IQR,
interquartile range; SD, standard deviation.Median (IQR).Mean (±SD).10 subjects in the COPD EC user group and 11 in the COPD control
group at all time points.Number of cigarettes smoker per day at baseline, follow-up visit 1
(12 ± 1.5 months), visit 2 (24 ± 2.5 months), visit 3 (48 ± 3 months)
and visit 4 (60 ± 3 months) separately for COPD electronic cigarettes
users (closed triangles) and COPD controls (closed circles). All data
expressed as mean and error bars are standard deviation of the mean.COPD, chronic obstructive pulmonary disease; EC, electronic
cigarette.Changes in study parameters from baseline at 12-, 24-, 36-, 48- and
60-month follow-up visits in single and dual users.BD, bronchodilator; CAT, COPD assessment tool; cig, conventional
cigarettes; COPD, Chronic obstructive pulmonary disease; EC,
electronic cigarettes; F, female; FEV1, forced expiratory volume in
1 sec; FVC, forced vital capacity; M, male; IQR, interquartile
range; SD, standard deviation.Median (IQR).Mean (±SD).A mix of different vaping products were used by COPD patients in the COPD EC
users group over the 5-year duration of the study. Devices and/or e-liquids were
changed quite frequently over time. An increasing percentage of users switched
from standard refillable e-cigs to more advanced devices during the study (from
9% at baseline to 18% at first wave). Further details were not recorded in
subsequent waves. However, nicotine strength was more accurately tracked. Most
users started with 12–18 mg/ml (medium/high) nicotine strength at baseline and
then gradually reduced their nicotine strength over time; by 5-year follow up,
only 2 out of 20 users were still using medium/high nicotine strength e-liquids,
whereas the others were consuming 3–9 mg/ml (low) nicotine strength.
COPD exacerbations
COPD EC users had a marked reduction in COPD exacerbations; with the mean (±SD)
annual exacerbation rate declining from 2.3 (±0.9) at baseline to 1.8 (±1) at
F/up1 (p = 0.004), 1.4 (±0.9) at F/up2
(p < 0.001), 1.2 (±1.0) at F/up3
(p < 0.001) and 1.1 (±1.0) at F/up 4
(p < 0.001), respectively (Table 2). Conversely there were no
significant changes from baseline in the annual COPD exacerbation rates in the
control group over the 5 years. An overall significant
(p = 0.046) between group reduction in COPD exacerbations was
noted over the 5-year observation period (Table 2; Figure 2). Consistent decline in COPD
exacerbations were noted in the dual users from baseline; with the mean (±SD)
annual exacerbation rate of 2.6 (±0.8) at baseline significantly reducing to 1.5
(±0.9) at F/up2 (p = 0.004), 1.4 (±0.9) at F/up 3
(p = 0.010) and 1.6 (±1.0) at F/up4
(p = 0.021), respectively (Table 3). Significant reductions in the
annual COPD exacerbations were noted at all the follow-up visits compared with
baseline in the exclusive EC users (single users) (Table 3).
Figure 2.
Changes in the number of COPD exacerbations per year from baseline, at
follow-up visit 1 (12 ± 1.5 months), visit 2 (24 ± 2.5 months), visit 3
(48 ± 3 months) and visit 4 (60 ± 3 months) separately for COPD
electronic cigarettes users (closed triangles) and COPD controls (closed
circles). Data expressed as mean and error bars are standard deviation
of the mean.
Changes in the number of COPD exacerbations per year from baseline, at
follow-up visit 1 (12 ± 1.5 months), visit 2 (24 ± 2.5 months), visit 3
(48 ± 3 months) and visit 4 (60 ± 3 months) separately for COPD
electronic cigarettes users (closed triangles) and COPD controls (closed
circles). Data expressed as mean and error bars are standard deviation
of the mean.COPD, chronic obstructive pulmonary disease; EC, electronic
cigarette.
Lung function assessments and COPD staging
There were substantial improvements in post-bronchodilator FEV1 and FVC in the EC
users compared with baseline at all follow-up visits except for F/up 2 (Table 2; Figure 3a–b). Reductions in
spirometric indices compared with baseline at all follow-up visits in the
control group were noted, though this was not significant (Table 2; Figure 3a–b). There were overall
marked differences between the two study groups in the spirometric assessments
were observed in favour of the EC users (Table 2).
Figure 3.
Percentage change in median FEV1 (a) and FVC (b) from baseline, at
follow-up visit 1 (12 ± 1.5 months), visit 2 (24 ± 2.5 months), visit 3
(48 ± 3 months) and visit 4 (60 ± 3 months) separately for COPD EC users
and COPD controls.
Percentage change in median FEV1 (a) and FVC (b) from baseline, at
follow-up visit 1 (12 ± 1.5 months), visit 2 (24 ± 2.5 months), visit 3
(48 ± 3 months) and visit 4 (60 ± 3 months) separately for COPD EC users
and COPD controls.BL, baseline; COPD, chronic obstructive pulmonary disease; EC, electronic
cigarette; FEV1, forced expiratory volume in 1 second; FVC, Forced vital
capacity; L, litres; M, months.GOLD COPD staging changes throughout the study are illustrated in Figure 4. Over the
60-month observation period, a number of patients in the EC group down-staged
(i.e. improved) from GOLD COPD Stages 4 and 3 to Stages 3 and 2, respectively.
In contrast, minimal changes in COPD GOLD stages were observed in the control
group.
Figure 4.
Percentage change in patients COPD GOLD stage over the study period.
BL, baseline; COPD, chronic obstructive pulmonary disease; GOLD, global
initiative for chronic obstructive lung disease; EC, electronic
cigarette; M, months.
Percentage change in patients COPD GOLD stage over the study period.BL, baseline; COPD, chronic obstructive pulmonary disease; GOLD, global
initiative for chronic obstructive lung disease; EC, electronic
cigarette; M, months.
CAT scores and 6MWD
CAT scores, which is a subjective COPD assessment, significantly improved in the
EC COPD group at all four follow-up time points compared with baseline
(p < 0.05 at all follow-up visits) (Table 2). Similarly,
throughout the study relevant clinical improvements in median CAT scores were
observed from baseline (Table 2). In the control group, no significant or clinically
relevant improvements were noted at any of the follow-up visits from baseline.
There was no overall significant improvement in CAT scores between groups over
the 5-year study period (p = 0.158) (Table 2; Figure 5).
Figure 5.
Percentage change in the median CAT scores from baseline, at follow-up
visit 1 (12 ± 1.5 months), visit 2 (24 ± 2.5 months), visit 3
(48 ± 3 months) and visit 4 (60 ± 3 months) separately for COPD EC users
and COPD.
Percentage change in the median CAT scores from baseline, at follow-up
visit 1 (12 ± 1.5 months), visit 2 (24 ± 2.5 months), visit 3
(48 ± 3 months) and visit 4 (60 ± 3 months) separately for COPD EC users
and COPD.BL, baseline; CAT, COPD assessment tool; COPD, chronic obstructive
pulmonary disease; EC, electronic cigarette; M, Months.Results of 6MWD at all four follow-up visits were available for 10 patients in
the COPD EC group, whilst those from the COPD control group were available for
11 subjects. In the EC user group, significant improvements from baseline in
6MWD was observed all time points (p < 0.01); there were no
notable improvements in 6MWD in the control group (Table 2). At 5 years from baseline the
6MWD improved by a median of 66.5m (p = 0.005) in the COPD EC
user group, whereas it increased by a median of 20 m
(p = 0.722) in the COPD control group (Table 2). A significant
(p = 0.012) improvement in 6MWD was observed between the
study groups over the 5-year period of follow-up (Table 2).
Discussion
In our study, offering the longest clinical follow up ever reported in this field,
patients with COPD who abstained from smoking or substantially reduced their
cigarette consumption by swapping to vaping experienced improvements in objective
and subjective health outcomes. These positive health effects persisted long term,
for up to 5 years. Switching from smoking to vaping leads to improved COPD outcomes,
which is expected because quitting smoking is known to slow COPD progression and to
improve patients’ respiratory health.[8,10-12]A major finding of the study is that COPD exacerbations were reduced by approximately
50% in patients who stopped or considerably reduced their smoking consumption after
switching to vaping. The magnitude of the number of COPD exacerbations prevented in
these patients is of clinical significance and similar to that observed with
pharmacological interventions.[41] Prolonged exposure to cigarette smoke has been demonstrated to increase
susceptibility to airway infection and respiratory exacerbations so that quitting
smoking may reduce these conditions and related symptoms.[42-44] Former smokers in one study
reported a 43% lower risk for COPD-related hospitalizations compared with active smokers.[45] Another study found a 22% risk reduction of COPD exacerbation in former
smokers compared with active smokers; this was confirmed after adjusting for
co-morbidity, COPD severity indices, and socioeconomic status.[46] Studies that have not found differences in hospital admissions between
smokers and former smokers with COPD failed to account for critical confounders for
COPD exacerbation risk, such as duration of smoking abstinence duration, disease
severity, presence of co-morbidities, and age.[47,48] Therefore, switching from
smoking to vaping would be expected to result in the marked attenuation of
respiratory infections and COPD exacerbations.In agreement with our previous observations,[35,36] lung function, respiratory
health (i.e. CAT) and physical activity (i.e. 6MWD) improved consistently in COPD
patients who quit or reduced substantially cigarette consumption after switching to
vaping products. These results are similar to those of COPD patients undergoing
intensive rehabilitation programs.[39,49]Small improvements in post-bronchodilator FEV1 were noted over the 5-year observation
period in COPD EC users, but the differential impact of medication usage between the
two study groups cannot be excluded. Alternatively, due to the prolonged
absence/reduction of exposure to cigarette smoke in the COPD EC users, we might
speculate that the airways could have improved their responsiveness to salbutamol.
In further support of this hypothesis, a post hoc analysis of pre-
versus post-bronchodilator difference in FEV1 values between
the two groups indicated that post-bronchodilator values at F/up 3 and 4 were higher
than pre-bronchodilator values in the COPD EC user group. Nonetheless, the benefits
of EC use in determining improvements of lung function have been disputed in some
studies. The association of EC use and self-reported chronic respiratory conditions
have been reported in cross-sectional surveys of adults in the US,[34,50] but these
cross-sectional studies cannot demonstrate causation, and are not adjusted for
smoking history, an obvious critical confounder. A recent paper analysing data from
two large prospective cohorts concluded that e-cigarette users had more rapid
decline in lung function,[51] but this trend did not persist after adjustment for conventional cigarette
smoking – which is of course the key factor driving the accelerated decline in lung
function – and the study did not measure frequency of EC use. Also, e-cigarette
users had heavier conventional cigarette smoking history, thus explaining why they
also had poorer respiratory health, and were more likely to report chronic
bronchitis and exacerbations as clarified in a detailed critique of this study.[52]Down staging from GOLD COPD classes 3/4–1/2 in the COPD EC user group over the 5-year
duration of the study was not a surprising observation given the above-mentioned
improvements in exacerbation rates, overall health status and lung function.Another important finding of the study is that only 8.3% patients from the COPD EC
user group relapsed to cigarette smoking over the 5-year duration of the study, thus
suggesting that relapse prevention may be an important mechanism by which vaping
contributes to long-term smoking abstinence. Vaping mimics the experience of smoking
and related rituals and provides powerful compensatory physical and behavioural
effects, possibly serving as an effective relapse prevention method contributing to
the low relapse rates observed in this study. Similar lower relapse rates with
vaping have also been observed in studies of smokers with schizophrenia, asthma and
hypertension.[53-55] The reduction
in relapse rates is vital because smokers with COPD do not respond very successfully
to smoking cessation programs.[15,56,57]The decline in carbon monoxide exposure and in carboxyhaemoglobin levels following
smoking abstinence and the associated time-dependent improvement in exercise
tolerance that occurs after quitting smoking may account for the reported improved
health outcomes.[44,58]Our study has a number of limitations. First, our findings are based on a small
cohort of COPD patients must be interpreted with care. Notwith-standing, beneficial
effects in several COPD health indicators were consistently observed over the entire
5-year duration of the study. Second, patients in the index study may represent a
self-selected sample, and as such may not be indicative of the archetypical COPD
smoker. Finally, the 6MWD test was not performed in approximately half of the study
participants.The present study confirms our previous research that switching from smoking to
vaping ameliorates respiratory health in COPD patients and that these positive
health effects may persist long term.[35,36] By substantially reducing
cigarette smoking or achieving abstinence with EC use, thereby curtailing exposure
to several toxic chemicals, may have resulted in the ameliorated respiratory
outcomes and bestowed an overall health advantageThe findings of this study are valuable because many COPD patients show little
interest in quitting or reducing cigarettes in spite of their symptoms. Switching to
much less harmful substitutes may limit the suffering of many patients by reducing
some of the otherwise unavoidable burden of respiratory morbidity and mortality
caused by cigarette smoking. Physicians in charge of the smoking patient with COPD
should consider all the options available and opt for the ones that provide the
greatest probability of stopping exposure to tobacco smoke, including ECs.[59]Larger studies will be required to clarify the role of the e-vapour category for
smoking cessation and/or harm reversal in smokers with COPD. Although these findings
are preliminary, the evidence presented in our study about the long-term health
impacts of vaping on COPD can be considered by health professionals when providing
specific advice to their COPD patients who cannot or do not want to quit
smoking.[59,60]
Authors: N R Anthonisen; J E Connett; J P Kiley; M D Altose; W C Bailey; A S Buist; W A Conway; P L Enright; R E Kanner; P O'Hara Journal: JAMA Date: 1994-11-16 Impact factor: 56.272
Authors: Samantha S C Kon; Jane L Canavan; Sarah E Jones; Claire M Nolan; Amy L Clark; Mandy J Dickson; Brigitte M Haselden; Michael I Polkey; William D-C Man Journal: Lancet Respir Med Date: 2014-02-04 Impact factor: 30.700
Authors: Nicholas R Anthonisen; John E Connett; Paul L Enright; Jure Manfreda Journal: Am J Respir Crit Care Med Date: 2002-08-01 Impact factor: 21.405
Authors: David H Au; Christopher L Bryson; Jason W Chien; Haili Sun; Edmunds M Udris; Laura E Evans; Katharine A Bradley Journal: J Gen Intern Med Date: 2009-02-05 Impact factor: 5.128
Authors: Pasquale Caponnetto; Roberta Auditore; Cristina Russo; Giorgio Carlo Cappello; Riccardo Polosa Journal: Int J Environ Res Public Health Date: 2013-01-28 Impact factor: 3.390
Authors: Regina El Dib; Erica A Suzumura; Elie A Akl; Huda Gomaa; Arnav Agarwal; Yaping Chang; Manya Prasad; Vahid Ashoorion; Diane Heels-Ansdell; Wasim Maziak; Gordon Guyatt Journal: BMJ Open Date: 2017-02-23 Impact factor: 2.692
Authors: Elizabeth R Stevens; Lei Lei; Charles M Cleland; Mahathi Vojjala; Omar El-Shahawy; Kenneth I Berger; Thomas R Kirchner; Scott E Sherman Journal: Addict Sci Clin Pract Date: 2022-01-06
Authors: Paul Morris; Simon McDermott; Fiona Chapman; Thomas Verron; Xavier Cahours; Matthew Stevenson; Joseph Thompson; Nveed Chaudhary; Grant O'Connell Journal: Intern Emerg Med Date: 2021-08-26 Impact factor: 3.397