The Emerging Cloud: a survey of vapers, their health and utilization of healthcare within the UK
St Thomas' Hospital , Department of Emergency Medicine, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK
St Thomas' Hospital , Department of Clinical Toxicology, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK
St Thomas' Hospital campus , Faculty of Life Sciences and Medicine, King’s College London, Westminster Bridge Rd, London SE1 7EH, UK
St Thomas' Hospital , Department of Clinical Toxicology, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK
St Thomas' Hospital campus , Faculty of Life Sciences and Medicine, King’s College London, Westminster Bridge Rd, London SE1 7EH, UK
St Thomas' Hospital , Department of Clinical Toxicology, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK
St Thomas' Hospital campus , Faculty of Life Sciences and Medicine, King’s College London, Westminster Bridge Rd, London SE1 7EH, UK
St Thomas' Hospital , Department of Emergency Medicine, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK
St Thomas' Hospital , Department of Clinical Toxicology, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK
St Thomas' Hospital , Department of Clinical Toxicology, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK
St Thomas' Hospital campus , Faculty of Life Sciences and Medicine, King’s College London, Westminster Bridge Rd, London SE1 7EH, UK
Summary
Background
Recent work in the UK estimated the prevalence of current cannabinoid-based vaping to be higher than in the USA, a factor previously associated with e-cigarette or vaping-associated lung injury (EVALI). Research in the USA has demonstrated that attendances to emergency departments relating to e-cigarettes began to rise before the EVALI outbreak, suggesting that vapers also experience milder forms of vaping-related illness.
Aim
Quantify symptom prevalence and healthcare utilization amongst current UK vapers.
Design
Voluntary online survey of individuals aged 16 and over within the UK.
Methods
Anonymized data were collected on demographics, vaping/smoking status and vaping substances used. Current vapers were asked about the presence of 10 prevalent symptoms from previous US EVALI case series, healthcare attendances and diagnoses given. Risk-ratios were calculated to compare the likelihood of symptoms and attendances between substances.
Results
A total of 2477 complete responses were analysed. In all, 397 respondents were current vapers. Symptom prevalence within the previous 12 months ranged from 3.8% to 30.5% (bloody sputum, cough). Healthcare attendances per symptomatic respondent ranged from 0.1 to 1.4 (bloody sputum, shortness of breath). Current vapers of cannabinoid-based products (alone/in combination) had the most attendances per symptomatic respondent for 9/10 symptoms and were more likely to report symptoms aside from ‘cough’ (nicotine-free e-liquids [risk ratio = 1.7]). Clinicians reportedly never diagnosed vaping-related illness.
Conclusions
UK vapers experience symptoms previously reported in EVALI cases for which they also seek healthcare. Users of cannabinoid-based products were more likely to report symptoms and accounted for a higher healthcare burden. UK vapers may also experience vaping-related illness that does not meet EVALI case criteria.
Article notes
Untitled section
Received 2023 Aug 1; Revised 2023 Sep 4; Collection date 2023 Dec.
Introduction
Vaping prevalence within Great Britain rose to the highest ever levels during 2022 with an estimated 4.3 million current users, in the absence of a corresponding decline in cigarette smoking throughout England.1,2 A 2021 UK-based survey also reported a higher prevalence of current cannabinoid-based product vaping in the UK (5.5%) than the rate previously reported within the USA in 2019 (2.0%).3 In addition, this UK-based survey demonstrated that up to a third of all vapers had previously sourced their vaping products from informal sources or ‘non-specialist’ vaping stores. The informal acquisition of vaping products and use of tetrahydrocannibol (THC) containing products was previously associated with the e-cigarette or vaping-associated lung injury (EVALI) outbreak in the USA in mid-2019.4 Despite apparent similarities in vaping practices between the UK and USA, published case reports of EVALI within the UK remain limited.5 Recreational use of cannabinoid-based products containing THC remains illegal within the UK.
EVALI was defined by the US Centers for Disease Control and Prevention in 2019 for surveillance purposes within the USA and encompasses a range of pathological conditions including lipoid pneumonia, hypersensitivity pneumonitis and bronchiolitis interstitial lung disease.5,6 A number of previous US case series have been able to identify common characteristics amongst confirmed US EVALI cases to further aid clinician understanding and ultimately diagnostic awareness of EVALI. A 2022 review comparing three of these US case series with a compiled series of non-US published case reports of EVALI demonstrated a number of similarities in regard to patient demographics, symptomatology and clinical course between both US and non-US cases.5,7–9 Under-recognition and perhaps underreporting of EVALI were two of the proposed reasons behind the large discrepancy in case numbers between the USA and international community.
Surveillance of US emergency department (ED) attendance data revealed that the incidence of presentations relating to e-cigarette use began to rise from early 2017, well before the recognized start of the US EVALI outbreak.10 This was particularly evident in 10–19 year olds where the rate of ED attendances with e-cigarette product related terms listed as ‘reason for visit’ increased steadily from four visits per million in the first week of January 2017—83 visits per million during the first week August 2019. The authors theorized that these presentations represented sporadic cases of EVALI or less severe forms of respiratory illness associated with e-cigarettes. In addition to increased vaping uptake amongst youths, they also speculated whether the addition of nicotine salts and/or cannabinoid-based products to vaping devices had contributed to rising presentations during this period. US research relating to the National Health Interview Survey (NHIS) has since confirmed that e-cigarette users accounted for greater healthcare utilization and expenditure between 2015 and 2018.11 The pooled NHIS data during this period contained responses from 118 859 adults aged 18 and over and concluded that e-cigarette users were more likely to report poorer health status than ‘never tobacco users’ at a cost of $15.1 billion to the US health system in 2018.
Given the burden associated with vaping in the USA and comparable vaping practices between US and UK adults, we hypothesized that current UK vapers were likely to be similarly utilizing healthcare services in relation to symptoms associated with vaping-related illness. We aimed to quantify healthcare utilization and determine symptom prevalence amongst current UK vapers aged 16 years or older and to identify the type of vaping substances (nicotine-based e-liquids, nicotine-free e-liquids or cannabinoid-based products) most likely to burden the UK health system.
Materials and methods
Study design
The study used a voluntary online survey designed by the authors and conducted by Kantar Group, a market research company based in London, UK, as part of previously published research on vaping practices and the acquisition of vaping products within the UK.3 A convenience sample of individuals aged 16 and over was used to identify study participants based in the UK. A standardized online survey was distributed and completed by respondents who agreed to partake in the study on either the 16 or 30 April 2021. Completed survey responses were tabulated and sent back to the study team. All responses remained completely anonymous. The Research and Ethics Office at King’s College London confirmed that formal ethical approval was not required for this study.
Data collection
Demographic data were collected to determine the age, gender and location of respondents within the UK (London, ‘Other England’, Northern Ireland, Scotland or Wales). Information regarding smoking history and the use of vaping devices, defined as e-cigarettes or electronic nicotine delivery systems (ENDS), were also recorded. Participants were asked to specify whether they were currently using a vaping device for ‘nicotine-based e-liquids’, ‘nicotine-free e-liquids’ and/or ‘cannabinoid-based products’. Respondents who identified themselves as ‘current vapers’ were then asked to report whether they had suffered any of the following symptoms within the preceding 12 months: ‘shortness of breath (SOB)’, ‘cough’, ‘chest pain’, ‘fever/high temperature’, ‘chills’, ‘lethargy/fatigue’, ‘nausea’, ‘vomiting’, ‘palpitations’ and/or ‘bloody sputum’. The symptoms were chosen on the basis of high prevalence amongst previous US EVALI case series (>50%) and a review of non-US EVALI cases demonstrating a higher prevalence of haemoptysis (26%).5 Palpitations was listed due to a high prevalence of tachycardia (heart rate > 100 beats per minute) amongst US cases. ‘Current vapers’ who had experienced symptoms were then asked to clarify whether the symptom/s were new within the last 12 months, whether they had sought medical attention for the symptom/s (accident and emergency/ED presentations, general practitioner attendances or other health care visits), what diagnoses they had been given for their symptom/s and whether their symptom/s were less frequent, unchanged or more frequent, since they started vaping.
Data cleaning and analysis
Tabulated responses are found in the Supplementary material. Falsified responses were removed from the dataset and the reason for exclusion recorded on the omissions log. Free text answers for ‘diagnosis given’ were reviewed and categorized into appropriate medical diagnoses. Microsoft excel was used for statistical analysis.
Pearson’s chi-squared test was used to identify associations between respondent demographics and current vaping status and to compare symptom prevalence amongst concurrent smokers (current vaper and current smoker) and exclusive vapers (current vaper only). Current vapers were grouped into cohorts depending on the vaping substance/s used (nicotine-free e-liquids, nicotine-based e-liquids and/or cannabinoid-based products) and symptom prevalence amongst these cohorts was compared. The prevalence of concurrent smoking within each cohort was calculated and age comparisons between cohorts were made using the Kruskall–Wallis H test. Risk ratios (RR) were utilized for symptoms with 30 or more respondents to determine whether particular ‘substance used’ cohorts were more or less likely to be affected by specific symptoms. The same process was also used for healthcare attendances to determine whether particular ‘substance used’ cohorts were more or less likely to seek healthcare for each of the symptoms. Presentations per respondent seeking healthcare were also calculated for each symptom.
Results
Demographics
Of the 2515, 2477 completed survey responses were included for analysis, of which 1335 (53.9%) were female, 1128 (45.5%) male, 10 (0.4%) nonbinary and 4 (0.2%) did not disclose gender. Thirty-eight of the responses were excluded (see omissions log), the majority of which involved inappropriate free text answers. The majority of respondents resided in England: London 337 (13.6%), ‘Other England’ 1702 (68.7%), Scotland 200 (8.1%), Wales 135 (5.5%) and Northern Ireland 103 (4.2%). In all, 608 (24.5%) of the respondents were current smokers, 774 (31.2%) ex-smokers and 1095 (44.2%) were never smokers.
Overall, 397 (16.0%) respondents identified themselves as ‘current vapers’ (Table 1). Current vaping was more prevalent amongst males (215 (54.2%) current vapers vs. 1128 (45.5%) total respondents, P < 0.01), respondents living in London (84 (21.2%) vs. 337 (13.6%), P < 0.01) and those in the 25- to 34-year-old age bracket (117 (29.5%) vs. 473 (19.1%), P < 0.01). 272 (68.5%) current vapers used combinations of vaping substances as seen in the ‘substance/s used’ section of Table 1. The most frequently used substance was nicotine-based e-liquids (356 current vapers). Of the current vapers who used only one type of substance, there was a significant difference in age between the three groups (P = 0.04): nicotine-free e-liquids median age 32.5 years [interquartile range (IQR) 27.0–56.8], cannabinoid-based products median age 33 [IQR 23–48] and nicotine-based e-liquids median age 48 [IQR 34–56].
| Current vapers, N = 397 | Total respondents, N = 2477 | P-value * | |
|---|---|---|---|
| Gender, n (%) | <0.01 | ||
| Male | 215 (54.2) | 1128 (45.5) | <0.01 |
| Female | 181 (45.6) | 1349 (53.9) | <0.01 |
| Nonbinary | 1 (0.25) | 10 (0.40) | 0.60 |
| Prefer not to say | 0 (0) | 4 (0.2) | 0.38 |
| Residence, n (%) | <0.01 | ||
| Scotland | 32 (8.06) | 200 (8.07) | 0.99 |
| Northern Ireland | 18 (4.53) | 103 (4.16) | 0.68 |
| London | 84 (21.2) | 337 (13.6) | <0.01 |
| Other England | 246 (62.0) | 1702 (68.7) | <0.01 |
| Wales | 17 (4.28) | 135 (5.45) | 0.26 |
| Age, n (%) | <0.01 | ||
| 16–24 years | 53 (13.4) | 270 (10.9) | 0.08 |
| 25–34 years | 117 (29.5) | 473 (19.1) | <0.01 |
| 35–44 years | 80 (20.2) | 449 (18.1) | 0.25 |
| 45–54 years | 75 (18.9) | 572 (23.1) | 0.03 |
| 55–64 years | 57 (14.4) | 471 (19.0) | <0.01 |
| 65+ years | 15 (3.78) | 242 (9.77) | <0.01 |
| Substances currently used, n (%) | Median age (IQR), 37 years (29–51) | ||
| Cannabinoid-based products + nicotine-free e-liquids + nicotine-based e-liquids | 98 (24.7) | 34 years (28–43) | |
| Cannabinoid-based products + nicotine-free e-liquids | 8 (2.02) | 29 years (23.5–40.25) | |
| Cannabinoid-based products + nicotine-based e-liquids | 16 (4.03) | 29.5 years (26–36.5) | |
| Cannabinoid-based products | 13 (3.27) | 33 years (23–48) | |
| Nicotine-based e-liquids + nicotine-free e-liquids | 150 (37.8) | 38 years (31–50) | |
| Nicotine-free e-liquids | 20 (5.04) | 32.5 years (27–56.8) | |
| Nicotine-based e-liquids | 92 (23.2) | 48 years (34–56) | |
| Age comparison in cohorts currently using 1 substance | P-value * | ||
| Cannabinoid-based products vs. nicotine-free e-liquids vs. nicotine-based e-liquidsa | 0.04 | ||
Symptom prevalence and healthcare utilization amongst ‘current vapers’
The most frequently reported symptoms in the 12 months preceding the survey were cough (30.5%), lethargy/fatigue (25.9%) and SOB (23.4%) as demonstrated in Figure 1. The incidence of new symptoms amongst ‘current vapers’ ranged from 13.0% for vomiting up to 46.2% for SOB. A majority of patients reported no change in the frequency of their symptoms since they began vaping (as opposed to ‘more’ or ‘less’ frequent) for all 10 complaints. A higher proportion of symptomatic respondents reported their symptoms being more rather than less common since they began vaping for four of the symptoms: palpitations (23.3% vs. 10.0%), vomiting (21.7% vs. 8.7%), nausea (14.6% vs. 2.1%) and lethargy/fatigue (9.7% vs. 8.7%). A greater number of respondents reported their symptoms as less rather than more frequent since they began vaping for five of the symptoms: SOB (23.7% vs. 18.3%), cough (22.3% vs. 14.0%), fever/high temperature (8.8% vs. 5.9%), chills (27.1% vs. 6.3%) and bloody sputum (26.7% vs. 0%). An equal number of respondents reported their chest pain as more or less frequent since the onset of vaping (18.4%).
The breakdown of symptomatic patients by ‘substance used’ is shown in Table 2. Concurrent smoking was most prevalent in those who used cannabinoid-based products and in those who used combinations of vaping substances. In comparison to the other substance used cohorts, respondents currently using:
| Cannabinoid-based + nicotine-free + nicotine-based | Cannabinoid-based + nicotine-free | Cannabinoid-based + nicotine-based | Cannabinoid-based | Nicotine-based + nicotine-free | Nicotine-free | Nicotine-based | |
|---|---|---|---|---|---|---|---|
| ‘Current vapers’ n = 397 (%)b | 98 (24.7) | 8 (2.02) | 16 (4.03) | 13 (3.27) | 150 (37.8) | 20 (5.04) | 92 (23.2) |
| Concurrent smokers (%)c | 81 (82.7) | 6 (75.0) | 15 (93.8) | 8 (61.5) | 92 (61.3) | 9 (45.0) | 42 (45.7) |
| ‘Current’ vapers who had experienced symptoms within previous 12 months | |||||||
| SOB n = 93 (%)d | 22 (23.7) | 4 (4.30) | 6 (6.45) | 6 (6.45) | 30 (32.3) | 6 (6.45) | 19 (20.4) |
| RR vs. other current vapers (95% CI) | 0.9 (0.6, 1.4) | 2.2 (1.1, 4.5) | 1.6 (0.8, 3.2) | 2.0 (1.1, 3.8) | 0.8 (0.5, 1.2) | 1.3 (0.6, 2.6) | 0.9 (0.5, 1.3) |
| Concurrent smokers (%)c | 18 (81.8) | 4 (100) | 5 (83.3) | 5 (83.3) | 19 (63.3) | 3 (50.0) | 12 (63.2) |
| Cough n = 121 (%)d | 24 (19.8) | 4 (3.31) | 7 (5.79) | 4 (3.31) | 41 (33.9) | 10 (8.26) | 31 (25.6) |
| RR vs. other current vapers (95% CI) | 0.8 (0.5, 1.1) | 1.7 (0.8, 3.4) | 1.5 (0.8, 2.6) | 1.0 (0.4, 2.3) | 0.8 (0.6, 1.2) | 1.7 (1.1, 2.7) | 1.1 (0.8, 1.6) |
| Concurrent smokers (%)c | 20 (83.3) | 4 (100) | 6 (85.7) | 3 (75.0) | 32 (78.0) | 5 (50.0) | 15 (48.4) |
| Chest pain n = 49 (%)d | 11 (22.4) | 3 (6.12) | 4 (8.16) | 1 (2.04) | 10 (20.4) | 4 (8.16) | 16 (32.7) |
| RR vs. other current vapers (95% CI) | 0.9 (0.5, 1.7) | 3.2 (1.2, 8.1) | 2.1 (0.9, 5.2) | 0.6 (0.1, 4.1) | 0.4 (0.2, 0.8) | 1.7 (0.7, 4.2) | 1.6 (0.9, 2.8) |
| Concurrent smokers (%)c | 10 (90.9) | 3 (100) | 4 (100) | 1 (100) | 8 (80.0) | 2 (50.0) | 8 (50.0) |
| Fever/high temperature n = 34 (%)d | 6 (17.6) | 3 (8.82) | 1 (2.94) | 1 (2.94) | 11 (32.4) | 3 (8.82) | 9 (26.5) |
| RR vs. other current vapers (95% CI) | 0.7 (0.3, 1.5) | 4.7 (1.8, 12.2) | 0.7 (0.1, 4.9) | 0.9 (0.1, 6.1) | 0.8 (0.4, 1.6) | 1.8 (0.6, 5.5) | 1.2 (0.6, 2.5) |
| Concurrent smokers (%)c | 5 (83.3) | 3 (100) | 1 (100) | 1 (100) | 6 (54.5) | 1 (33.3) | 5 (55.6) |
| Chills n = 48 (%)d | 12 (25.0) | 3 (6.25) | 6 (12.5) | 4 (8.33) | 13 (27.1) | 2 (4.17) | 8 (16.7) |
| RR vs. other current vapers (95% CI) | 1.0 (0.6, 1.9) | 3.2 (1.3, 8.3) | 3.4 (1.7, 6.8) | 2.7 (1.1, 6.4) | 0.6 (0.3, 1.1) | 0.8 (0.2, 3.1) | 0.7 (0.3, 1.4) |
| Concurrent smokers (%)c | 11 (91.7) | 3 (100) | 6 (100) | 3 (75.0) | 6 (46.2) | 1 (50.0) | 4 (50.0) |
| Lethargy/fatigue n = 103 (%)d | 18 (17.5) | 3 (2.91) | 7 (6.80) | 5 (4.85) | 37 (35.9) | 7 (6.80) | 26 (25.2) |
| RR vs. other current vapers (95% CI) | 0.6 (0.4, 1.0) | 1.5 (0.6, 3.6) | 1.7 (1.0, 3.1) | 1.5 (0.7, 3.1) | 0.9 (0.7, 1.3) | 1.4 (0.7, 2.6) | 1.1 (0.8, 1.6) |
| Concurrent smokers (%)c | 14 (77.8) | 3 (100) | 6 (85.7) | 3 (60.0) | 21 (56.8) | 3 (42.9) | 9 (34.6) |
| Nausea n = 48 (%)d | 11 (22.9) | 3 (6.25) | 4 (8.33) | 4 (8.33) | 16 (33.3) | 3 (6.25) | 7 (14.6) |
| RR vs. other current vapers (95% CI) | 0.9 (0.5, 1.7) | 3.2 (1.3, 8.3) | 2.2 (0.9, 5.3) | 2.7 (1.1, 6.4) | 0.8 (0.5, 1.4) | 1.3 (0.4, 3.7) | 0.6 (0.3, 1.2) |
| Concurrent smokers (%)c | 9 (81.8) | 3 (100) | 4 (100) | 4 (100) | 10 (62.5) | 1 (33.3) | 0 (0) |
| Palpitations n = 30 (%)d | 5 (16.7) | 2 (6.67) | 2 (6.67) | 0 (0) | 9 (30.0) | 1 (3.33) | 11 (36.7) |
| RR vs. other current vapers (95% CI) | 0.6 (0.2, 1.6) | 3.5 (1.0, 12.1) | 1.7 (0.4, 6.5) | – | 0.7 (0.3, 1.5) | 0.6 (0.1, 4.3) | 1.9 (0.9, 3.9) |
| Concurrent smokers (%)c | 3 (60.0) | 2 (100) | 2 (100) | 0 (0) | 6 (66.7) | 0 (0) | 4 (36.4) |
| Vomiting n = 23 (%)d | 6 (26.1) | 1 (4.35) | 3 (13.0) | 1 (4.35) | 8 (34.8) | 1 (4.35) | 3 (13.0) |
| Concurrent smokers (%)c | 5 (83.3) | 1 (100) | 3 (100) | 0 (0) | 6 (75.0) | 0 (0) | 0 (0) |
| Bloody sputum n = 15 (%)d | 4 (26.7) | 0 (0) | 2 (13.3) | 2 (13.3) | 2 (13.3) | 1 (6.67) | 4 (26.7) |
| Concurrent smokers (%)c | 3 (75.0) | 0 (0) | 2 (100) | 1 (50.0) | 0 (0) | 1 (100) | 2 (50.0) |
- Cannabinoid-based products with nicotine-free e-liquids were more likely to report SOB (RR 2.2, 95% confidence interval [1.1, 4.5]), chest pain (RR 3.2 [1.2, 8.1]), fever/high temperature (RR 4.7 [1.8, 12.2]), chills (RR 3.2 [1.3, 8.3]) and nausea (RR 3.2 [1.3, 8.3]).
- Cannabinoid-based products only were more likely to report SOB (RR 2.0 [1.1, 3.8]), chills (RR 2.7 [1.1, 6.4]) and nausea (RR 2.7 [1.1, 6.4]).
- Cannabinoid-based products with nicotine-based e-liquids were more likely to report chills (RR 3.4 [1.7, 6.8]).
- Nicotine-free e-liquids only were more likely to report cough (RR 1.7 [1.1, 2.7]).
- Nicotine-based e-liquids with nicotine-free e-liquids were less likely to report chest pain (RR 0.4 [0.2, 0.8]).
Healthcare utilization by ‘substance used’ cohort is demonstrated in Table 3. In comparison to the other substance used cohorts, respondents currently using:
| Cannabinoid-based + nicotine-free + nicotine-based | Cannabinoid-based + nicotine-free | Cannabinoid-based + nicotine-based | Cannabinoid-based | Nicotine-based + nicotine-free | Nicotine-free | Nicotine-based | |
|---|---|---|---|---|---|---|---|
| ‘Current vapers’ n = 397 (%)b | 98 (24.7) | 8 (2.02) | 16 (4.03) | 13 (3.27) | 150 (37.8) | 20 (5.04) | 92 (23.2) |
| Total presentations to healthcare in previous 12 months for all symptoms = 385 | |||||||
| SOB n = 49 (%)b | 16 (32.7) | 3 (6.12) | 2 (4.08) | 4 (8.16) | 11 (22.5) | 4 (8.16) | 9 (18.4) |
| RR vs. other current vapers (95% CI) | 1.5 (0.9, 2.6) | 3.2 (1.3, 8.1) | 1.0 (0.3, 3.8) | 2.6 (1.1, 6.2) | 0.5 (0.3, 0.9) | 1.7 (0.7, 4.2) | 0.7 (0.4, 1.5) |
| Total presentations (per attendee)c | 32 (2.0) | 24 (8.0) | 4 (2.0) | 10 (2.5) | 33 (3.0) | 6 (1.5) | 21 (2.3) |
| Cough n = 31 (%)b | 10 (32.3) | 3 (9.68) | 3 (9.68) | 1 (3.23) | 6 (19.4) | 3 (9.68) | 5 (16.1) |
| RR vs. other current vapers (95% CI) | 1.5 (0.7, 3.0) | 5.2 (2.0, 13.6) | 2.6 (0.9, 7.5) | 1.0 (0.2, 6.7) | 0.4 (0.2, 0.9) | 2.0 (0.7, 6.1) | 0.8 (0.4, 1.5) |
| Total presentations (per attendee)c | 16 (1.6) | 12 (4.0) | 3 (1.0) | 1 (1.0) | 13 (2.2) | 4 (1.3) | 12 (2.4) |
| Chest pain n = 20 (%)b | 3 (15.0) | 1 (5.00) | 1 (5.00) | 1 (5.00) | 7 (35.0) | 2 (10.0) | 5 (25.0) |
| Total presentations (per attendee)c | 5 (1.7) | 7 (7.0) | 2 (2.0) | 2 (2.0) | 7 (1.0) | 4 (2.0) | 15 (3.0) |
| Lethargy/fatigue n = 25 (%)b | 5 (20.0) | 2 (8.00) | 2 (8.00) | 1 (4.00) | 7 (28.0) | 2 (8.00) | 6 (24.0) |
| Total presentations (per attendee)c | 7 (1.4) | 11 (5.5) | 2 (1.0) | 1 (1.0) | 10 (1.4) | 2 (1.0) | 12 (2.0) |
| Fever/high temp. n = 15 (%)b | 2 (13.3) | 3 (20.0) | 0 (0) | 0 (0) | 4 (26.7) | 1 (6.67) | 5 (33.3) |
| Total presentations (per attendee)c | 10 (5.0) | 3 (1.0) | 0 (0) | 0 (0) | 4 (1.0) | 3 (3.0) | 11 (2.2) |
| Palpitations n = 13 (%)b | 2 (15.4) | 2 (15.4) | 0 (0) | 0 (0) | 3 (23.1) | 0 (0) | 6 (46.2) |
| Total presentations (per attendee)c | 2 (1.0) | 4 (2.0) | 0 (0) | 0 (0) | 3 (1.5) | 0 (0) | 17 (2.8) |
| Chills n = 10 (%)b | 4 (40.0) | 1 (10.0) | 2 (20.0) | 2 (20.0) | 0 (0) | 1 (10.0) | 0 (0) |
| Total presentations (per attendee)c | 5 (1.2) | 3 (3.0) | 2 (1.0) | 4 (2.0) | 0 (0) | 2 (2.0) | 0 (0) |
| Nausea n = 10 (%)b | 3 (30.0) | 0 (0) | 2 (20.0) | 0 (0) | 3 (30.0) | 0 (0) | 2 (20.0) |
| Total presentations (per attendee)c | 8 (2.7) | 0 (0) | 4 (2.0) | 0 (0) | 3 (1.0) | 0 (0) | 3 (1.5) |
| Vomiting n = 8 (%)b | 3 (37.5) | 0 (0) | 1 (12.5) | 0 (0) | 1 (12.5) | 0 (0) | 3 (37.5) |
| Total presentations (per attendee)c | 4 (1.3) | 0 (0) | 4 (4.0) | 0 (0) | 1 (1.0) | 0 (0) | 3 (1.0) |
| Bloody sputum n = 2 (%)b | 0 (0) | 0 (0) | 0 (0) | 1 (50.0) | 0 (0) | 0 (0) | 1 (50.0) |
| Total presentations (per attendee)c | 0 (0) | 0 (0) | 0 (0) | 1 (1.0) | 0 (0) | 0 (0) | 1 (1.0) |
- Cannabinoid-based products with nicotine-free e-liquids were more likely to seek medical attention for SOB (RR 3.2 [1.3, 8.1]) and cough (RR 5.2 [2.0, 13.6]).
- Cannabinoid-based products were more likely to seek medical attention for SOB (RR 2.6 [1.1, 6.2]).
- Nicotine-based e-liquids with nicotine-free e-liquids were less likely to seek medical attention for SOB (RR 0.5 [0.3, 0.9]) and cough (RR 0.4 [0.2, 0.9]).
‘Current vapers’ of cannabinoid-based products (either alone or in combination with other e-liquids) accounted for the highest number of presentations per healthcare attendee (i.e. re-presentations) for nine out of the 10 symptoms. The exception was palpitations where the average number of presentations per healthcare attendee was 2.8 for those who were using nicotine-based e-liquids only. The user cohort who most frequently recorded the highest number of presentations per attendee was vapers of cannabinoid-based products in combination with nicotine-free e-liquids—ranging from 3.0 for chills up to 8.0 for SOB.
A comparison of symptom prevalence between concurrent smokers and exclusive vapers is demonstrated in Table 4. ‘Cough’ was the only symptom with a statistically significant difference between the two groups being more prevalent in those who were concurrent smokers (33.6% vs. 18.1%, P < 0.01). Although statistical significance was not achieved, lethargy/fatigue (23.3% vs. 30.6%, P = 0.11), palpitations (6.7% vs. 9.0%, P = 0.40) and bloody sputum (3.6% vs. 4.2%, P = 0.76) were more prevalent amongst exclusive vapers.
| Symptoms reported | Concurrent smoker prevalence (%) | Exclusive vaper prevalence (%) | P-value * |
|---|---|---|---|
| Shortness of breath | 64/253 (25.3) | 29/144 (20.1) | 0.24 |
| Cough | 85/253 (33.6) | 26/144 (18.1) | <0.01 |
| Chest pain | 36/253 (14.2) | 13/144 (9.0) | 0.12 |
| Fever/high temperature | 22/253 (8.7) | 12/144 (8.3) | 0.90 |
| Chills | 34/253 (13.4) | 14/144 (9.7) | 0.27 |
| Lethargy/fatigue | 59/253 (23.3) | 44/144 (30.6) | 0.11 |
| Nausea | 31/253 (12.3) | 17/144 (11.8) | 0.90 |
| Vomiting | 15/253 (5.9) | 8/144 (5.6) | 0.88 |
| Palpitations | 17/253 (6.7) | 13/144 (9.0) | 0.40 |
| Bloody sputum | 9/253 (3.6) | 6/144 (4.2) | 0.76 |
Diagnoses given for symptoms
The most common diagnoses given for each of the reported symptoms are listed in Table 5. Respiratory conditions (asthma/chronic obstructive pulmonary disease (COPD) or respiratory tract infections (RTIs)) were diagnosed most commonly for five of the 10 symptoms—SOB, cough, fever/high temperature, chills and bloody sputum. Lethargy/fatigue was attributed to lifestyle/sleep disturbance seven times and chronic fatigue three times. A diagnosis of anxiety was given four times each for chest pain and palpitations. Gastritis/gastroenteritis was reported three times each for nausea and vomiting.
| Symptoms reported, n (%) | Most common diagnoses given (n) a |
|---|---|
| Shortness of breath, 93 (23.4) | Asthma/chronic obstructive pulmonary disease (18) |
| Respiratory tract infection (15) | |
| Cough, 121 (30.5) | Respiratory tract infection (12) |
| Asthma/chronic obstructive pulmonary disease (5) | |
| Chest pain, 49 (12.3) | Anxiety (4) |
| Respiratory tract infection (3) | |
| Fever/high temperature, 34 (8.6) | Respiratory tract infection (5) |
| Chills, 48 (12.1) | Respiratory tract infection (2) |
| Lethargy/fatigue, 103 (25.9) | Lifestyle/sleep related (7) |
| Chronic fatigue syndrome (3) | |
| Nausea, 48 (12.1) | Gastritis/gastroenteritis (3) |
| Vomiting, 23 (5.8) | Gastritis/gastroenteritis (3) |
| Palpitations, 30 (7.6) | Anxiety (4) |
| Bloody sputum, 15 (3.8) | Respiratory tract infection (2) |
Discussion
In this survey of 2477 respondents aged 16 years or older, 397 (16.0%) individuals identified themselves as current vapers, the majority of whom were users of multiple substances (68.5%)—any combination of nicotine-based e-liquids, nicotine-free e-liquids or cannabinoid-based products. In the 12 months preceding the survey, these current vapers had experienced a number of symptoms previously reported in EVALI cases, ranging from 3.8% for bloody sputum or haemoptysis (15 respondents) up to 30.5% for cough (121 respondents). The aggregate number of healthcare attendances for all symptoms was 385, ranging from 2 attendances for bloody sputum up to 130 attendances for SOB. UK-based vaping surveys have typically tracked user ‘harm perception’ of vaping but this is the first known UK-based survey to qualify specific symptoms amongst current vapers and to quantify the healthcare burden associated with these symptoms.1,2 Excessive harm perception of e-cigarettes amongst current cigarette smokers has traditionally been listed as a barrier to smoking cessation by the Office for Health Improvement and Disparities (OHID) in England.12,13
Although a recent comprehensive review on the toxicology of e-liquids outlined multiple mechanisms of toxicity, OHID reports the evidence supporting a harmful effect of legal e-liquids on adults is largely insufficient or inconclusive and concludes that the associated health risks are likely only a fraction of those of smoking.13,14 However, OHID also concedes that the effectiveness of heated tobacco products in smoking cessation remains uncertain. Given vaping is a relatively new practice it also difficult to comment on the long-term effects of vaping—this is particularly concerning given the Action on Smoking and Health in Youth survey recently reported the prevalence of current vaping in British 11–17 year olds had more than doubled to 7.0% in 2022 from 3.3% in 2021.15 Despite our survey being restricted to respondents aged 16 years or older we detected a considerably lower median age in substance used cohorts that were unlikely to be for smoking cessation purposes—48 years for nicotine-based e-liquids only vs. 29–38 years for all other cohorts. This was consistent with a lower prevalence of concurrent smoking within the nicotine-based e-liquids only cohort—45.7% vs. 45.0–93.8% for all other cohorts.
The three most common symptoms reported by current vapers were SOB, cough and lethargy. Whilst these are not pathognomonic symptoms, they were amongst the most frequently reported symptoms in previous US EVALI cases series.7–9 It should be noted that within this survey, symptomatic respondents more commonly reported no change in the frequency of their symptoms since they began vaping for each of the 10 complaints. Furthermore, symptomatic respondents more commonly reported their symptoms being less rather than more frequent since they began vaping for SOB, cough, fever/high temperature, chills and bloody sputum. This was contradicted by the relatively high number of symptomatic respondents reporting new symptoms in the 12 months prior to the survey: SOB (46.2%), fever/high temperature (44.1%), chills (39.6%), cough (34.7%) and bloody sputum (26.7%). It was unclear why these responses relating to symptom frequency were discordant although a degree of recall bias is possible given the retrospective nature of the survey. Symptomatic respondents more commonly reported their symptoms as more rather than less frequent since they began vaping for lethargy/fatigue, nausea, vomiting and palpitations. Respondents reporting nausea and vomiting within this survey were generally over-represented by current vapers using cannabinoid-based products (45.9% of respondents with nausea, 47.8% of respondents with vomiting vs. baseline prevalence of 34.0% within survey). The majority of previous US EVALI cases involved the use of products containing THC—it is possible that the ongoing use of these products contributes to a higher incidence of gastrointestinal symptoms. Symptomatic respondents with palpitations were over-represented by current vapers exclusively using nicotine-based e-liquids (36.7% of respondents with palpitations vs. baseline prevalence of 23.2% within survey). Irrespective of route of administration, nicotine is known to increase heart rate via activation of the sympathetic nervous system with tachyarrhythmias a recognized complication.16 The legal nicotine content of e-cigarettes in the UK is 2% (20 mg/ml), higher than the estimated nicotine content of a standard cigarette (10–15 mg) of which 10% (1–1.5 mg) is usually absorbed.17 Furthermore, the smoking toolkit study demonstrated that the percentage of ex-smokers and smokers using e-cigarettes with 2% nicotine content or above (informally/illegally sourced) has increased from 1.7% and 5.1%, respectively, in 2016, up to 26.3% and 25.2% in 2022. It is conceivable that vapers using e-cigarettes with a higher nicotine content would be more likely to report palpitations for the reasons outlined above, as evidenced by the higher incidence of palpitations within this survey.
This survey was able to compare the prevalence of symptoms and number of healthcare presentations amongst current vapers in relation to ‘substance used’ cohorts. Current vapers of cannabinoid-based products with nicotine-free e-liquids were significantly more likely to report SOB, chest pain, fever/high temperature, chills and nausea. These users were also significantly more likely to seek healthcare for SOB and cough. Current vapers of cannabinoid-based products alone were significantly more likely to report SOB, chills and nausea and significantly more likely to seek healthcare for SOB. Respondents vaping cannabinoid-based products with nicotine-based e-liquids were significantly more likely to report chills. It is unclear why the cohort of vapers using all three substances (cannabinoid-based products, nicotine-based e-liquids and nicotine-free e-liquids) were not significantly more likely to report symptoms or seek healthcare however statistical testing was limited by the number of symptomatic respondents within the survey. Cohorts involving the use of cannabinoid-based products (alone or in combination) accounted for the highest number of attendances per healthcare attendee for nine out of the 10 symptoms; the exception being palpitations whereby users of nicotine-based e-liquids re-attended most frequently. The increased healthcare burden associated with cannabinoid-based products is likely a reflection of the unregulated nature of these products and the informal means by which users acquire them.3 It should be noted that current vapers of nicotine-free e-liquids were significantly more likely to report cough. One possible explanation is the young median age of these users (32.5 years)—it would be fair to assume that these users have had limited prior exposure to inhaled products. Current vapers of nicotine-based e-liquids and nicotine-free e-liquids were significantly less likely to report chest pain and less likely to seek healthcare for SOB and cough. Concurrent smoking within this cohort was the third lowest at 61.3% and an argument could be made that smoking cessation had improved symptoms, although similar trends were not observed within the nicotine-based e-liquids only cohort where concurrent smoking was the second lowest at 45.7%. When concurrent smoking was compared with exclusive vaping, cough was also significantly more prevalent amongst the concurrent smoking group (P < 0.01) however there was no significant difference with any of the other symptoms. This finding was consistent with a recent prospective study in the USA that demonstrated e-cigarette use in young adults was associated with respiratory symptoms irrespective of combustible cannabis and cigarette exposure, suggestive of the likely pathological effect of vaping independent of smoking.18 In our survey, cough was also more common in the cohort using nicotine-free e-liquids only, despite this group having the lowest rate of concurrent smoking (45.0%).
Symptomatic current vapers did not report a diagnosis of vaping-related illness for any of the healthcare presentations. Clinicians reportedly diagnosed RTIs, asthma/COPD or anxiety/panic attacks most commonly. As stated in the introduction, we have previously suggested that under-recognition and underreporting of EVALI internationally has likely resulted in lower case numbers of EVALI being reported outside of the USA.5 If this were the case, it would hold true that milder forms of vaping-related illness not meeting EVALI case criteria were also under-recognized, as suggested by the results of this survey.
Two previous UK-based publications have also concluded that clinician understanding of e-cigarettes remains suboptimal.19,20 The Medicines and Healthcare products Regulation Agency in the UK recommends documenting e-cigarette or vaping device use as part of routine clinical practice, including frequency of use and substances used.21 However the British Thoracic Society’s National Smoking Cessation Audit 2021 found that only 6% of the 14 579 medical records reviewed contained information on vaping status.22 Accurate documentation of vaping or e-cigarette use is likely to lead to an improved understanding of the risks associated with vaping and confer benefits at both an individual and population level.23
This research was subject to a number of limitations. The number of current vapers was relatively small resulting in fewer symptomatic respondents. As a result, statistical testing was restricted to the symptoms with 30 or more symptomatic vapers or 30 or more healthcare attendees (arbitrary ‘non-small’ sample size). As previously stated, the possibility of recall bias should be acknowledged given the retrospective nature of the survey. Finally, the survey did not ask ‘never’ and ‘previous’ vapers about the presence of symptoms therefore we could not make comparisons between the health of these respondents and current vapers; data were also not collected to determine other potential causes of the symptoms reported.
Conclusion
This survey of 2477 UK respondents aged 16 years and over, included 397 individuals who identified themselves as current vapers. Current UK vapers reported experiencing a number of the symptoms most frequently noted in previous US EVALI case series and non-US EVALI case reports. In comparison to other current vapers, those using cannabinoid-based products alone or in combination were generally more likely to report symptoms, while current vapers of nicotine-free e-liquids alone were more likely to report cough. Compared with other current vapers, users of nicotine-based e-liquids and nicotine-free e-liquids in combination were less likely to report chest pain and less likely to seek healthcare for SOB and cough. Cough was significantly more prevalent in concurrent smokers than in exclusive vapers without a statistically significant difference in the prevalence of other symptoms between these groups. Regarding healthcare burden, current vaper cohorts involving cannabinoid-based products accounted for the highest number of presentations per healthcare attendant for nine out of the 10 symptoms. Clinicians were more likely to diagnose RTIs, asthma/COPD or anxiety/panic attacks rather than vaping associated illness, which may reflect suboptimal clinician understanding and underestimation of the risks associated with vaping. Improved documentation on the use of e-cigarettes or vaping devices may lead to a clearer understanding of the risks associated with vaping.
Supplementary Material
Acknowledgements
The authors thank Kantar Group, London.
Contributor Information
L J Sund, St Thomas' Hospital , Department of Emergency Medicine, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK; St Thomas' Hospital , Department of Clinical Toxicology, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK; St Thomas' Hospital campus , Faculty of Life Sciences and Medicine, King’s College London, Westminster Bridge Rd, London SE1 7EH, UK.
P I Dargan, St Thomas' Hospital , Department of Clinical Toxicology, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK; St Thomas' Hospital campus , Faculty of Life Sciences and Medicine, King’s College London, Westminster Bridge Rd, London SE1 7EH, UK.
J R H Archer, St Thomas' Hospital , Department of Clinical Toxicology, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK; St Thomas' Hospital campus , Faculty of Life Sciences and Medicine, King’s College London, Westminster Bridge Rd, London SE1 7EH, UK.
M S Blundell, St Thomas' Hospital , Department of Emergency Medicine, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK; St Thomas' Hospital , Department of Clinical Toxicology, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK.
D M Wood, St Thomas' Hospital , Department of Clinical Toxicology, Guy’s and St Thomas’ NHS Foundation Trust and King’s Health Partners, Westminster Bridge Rd, London SE1 7EH, UK; St Thomas' Hospital campus , Faculty of Life Sciences and Medicine, King’s College London, Westminster Bridge Rd, London SE1 7EH, UK.
Supplementary material
Supplementary material is available at QJMED online.
Funding
None.
Conflict of interest. We declare no support from any organization for the submitted work; D.M.W. is a senior editorial board member for the Journal of Medical Toxicology, a member of UK Advisory Council on the Misuse of Drugs and an expert advisor to the European Monitoring Centre for Drugs and Drug Addiction and United Nations Office on Drugs and Crime; P.I.D. is a senior editorial board member for the Clinical Toxicology Journal, a Commissioner to the UK Commission on Human Medicines, President-Elect of the European Association of Poisons Centres and Clinical Toxicologists and an expert adviser for the World Health Organisation, the Advisory Council on the Misuse of Drugs, European Monitoring Centre for Drugs and Drug Addiction and the United Nations Office on Drugs and Crime.
References
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