| Literature DB >> 24350225 |
Abstract
Electronic cigarette (e-cigarette) use, or vaping, in the United States and worldwide is increasing. Their use is highly controversial from scientific, political, financial, psychological, and sociological ideologies. Given the controversial nature of e-cigarettes and vaping, how should medical care providers advise their patients? To effectively face this new challenge, health care professionals need to become more familiar with the existing literature concerning e-cigarettes and vaping, especially the scientific literature. Thus, the aim of this article is to present a review of the scientific evidence-based primary literature concerning electronic cigarettes and vaping. A search of the most current literature using the pubmed database dating back to 2008, and using electronic cigarette(s) or e-cigarette(s) as key words, yielded a total of 66 highly relevant articles. These articles primarily deal with (1) consumer-based surveys regarding personal views on vaping, (2) chemical analysis of e-cigarette cartridges, solutions, and mist, (3) nicotine content, delivery, and pharmacokinetics, and (4) clinical and physiological studies investigating the effects of acute vaping. When compared to the effects of smoking, the scant available literature suggests that vaping could be a "harm reduction" alternative to smoking and a possible means for smoking cessation, at least to the same degree as other Food and Drug Administration-approved nicotine replacement therapies. However, it is unclear if vaping e-cigarettes will reduce or increase nicotine addiction. It is obvious that more rigorous investigations of the acute and long-term health effects of vaping are required to establish the safety and efficacy of these devices; especially parallel experiments comparing the cardiopulmonary effects of vaping to smoking. Only then will the medical community be able to adequately meet the new challenge e-cigarettes and vaping present to clinical medicine and public health.Entities:
Keywords: electronic cigarettes; harm reduction; nicotine addiction; nicotine replacement; smoking cessation; vaping
Year: 2013 PMID: 24350225 PMCID: PMC3859972 DOI: 10.3389/fpubh.2013.00056
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Studies involving consumer-based surveys regarding personal views on vaping.
| Authors (Reference) | Study design | Participants | Participant’s location | Key finding |
|---|---|---|---|---|
| Etter ( | Online French survey at | 81 Respondents, ages 19–65, 77% male, 63% former smokers, 23% daily smokers, 13% occasional smokers | 81% France | E-cigarettes were used to quit smoking |
| 8% Belgium | ||||
| 6% Canada | ||||
| 5% Switzerland | ||||
| Cho et al. ( | Survey of adolescents from five schools participating in a 2008 Health Promotion Fund Project | 4353 Adolescent students | Korea | 444 adolescent students had heard of e-cigarettes. 22 adolescents had ever tried e-cigarettes. Significant predictors of e-cigarette use include male gender and cigarette smoking experience |
| Etter and Bullen ( | Survey of visitors to websites and online discussion forums | 3587 Respondents, ages 31–52, 63% male, 70% former smokers, 19% daily smokers, 11% occasional smokers | 62% United States | E-cigarette users believe that e-cigarettes helped them to quit or reduce smoking, and that vaping is less toxic than smoking |
| 14% France | ||||
| 6% United Kingdom | ||||
| 4% Switzerland | ||||
| 3% Canada | ||||
| Foulds et al. ( | Survey conducted at e-cigarette enthusiast’s convention | 104 Respondents, mean age 34 ± 9, 74% male, 88% Caucasian, 78% former smokers, 19% daily smokers | Philly Vapefest, 2011, Philadelphia, PA | E-cigarette users believe that e-cigarettes helped them to quit smoking, and vaping is less harmful than smoking |
| Polosa et al. ( | Tracking daily consumption of cigarettes for 6 months | 40 Subjects (26 males) began and 27 subjects (18 males) ended 6 months later | Recruited from the local hospital staff in Catania, Italy | Vaping e-cigarettes decreased consumption of traditional cigarettes as verified by exhaled carbon monoxide |
| Mean age 43 ± 9 years | ||||
| Years smoked 27 ± 9 years | ||||
| Siegal et al. ( | Online survey of new e-cigarette users who recently purchased Blue e-cigarettes | 216 Respondents (72% male), ages 18–65+ years, smokers for 5–30+ years | Worldwide. E-mail addresses were provided for 5000 first time online e-cigarette purchasers from the Blue-cigarette distributor and served as the pool of respondents | After 6 months of vaping, 31% of respondents were no longer smoking cigarettes |
| Goniewicz and Zielinska-Danch ( | Survey of students enrolled in at 176 nationally representative high schools and universities in Poland | 20,240 High school students (15–19 years) and university students (20–24 years) 43% of students were male | Poland | About 20% of polish youth have tried e-cigarettes, but only 3% of never smokers tried e-cigarettes. Not clear if e-cigarettes are a novelty that young people try once. Significant predictors of e-cigarette use include male gender and cigarette smoking experience |
| Kralikova et al. ( | Interview of people buying cigarettes between 10 and 19 October 2011 | 973 Respondents, average age 32 years, and 54% male | Five locations across Prague, Czech Republic | 86% of respondents have heard of e-cigarettes |
| Barbeau et al. ( | Focus group discussions posing open ended questions | Nine Men and two women, ages 18–64 years | Boston University School of Public Health, Boston, MA, USA | Vaping was more effective in maintaining cigarette abstinence than the FDA-approved nicotine replacement therapies due to retention of behavioral and social components of smoking addiction |
| Bullen et al. ( | Survey using a randomized controlled trial. Participants recruited via community newspapers | E-cigarette Group ( | Aukland, New Zealand | E-cigarettes, with or without nicotine (placebo e-cigarette), were as effective at helping smokers quit as nicotine patches |
| Caponnetto et al. ( | Regular smokers recruited between June 2010 and February 2011 were observed for 12 months | 300 Participants, mean age 44 ± 13 years, 63% male and smoke at least 15–25 cigarettes/day | Catania, Italy | The use of e-cigarettes, with or without nicotine, decreased cigarette consumption and elicited tobacco abstinence as verified by exhaled carbon monoxide |
| Caponnetto et al. ( | Chronic schizophrenic patients were observed and surveyed for 12 months | 14 Schizophrenic patients (6 male), mean age 45 ± 13 years and smoked at least 20–35 cigarettes/day | CTA, Villa Chiara-Psichiatrica Riabilitativa e Ricerca, Catania, Italy | The use of e-cigarettes decreased e-cigarette consumption without causing significant side effects in schizophrenic patients |
| Choi and Forster ( | Survey of U.S. Midwestern adults | Cohort of 2624 adults aged 20–28 years | Midwestern United States | Nearly 70% of the respondents were aware of e-cigarettes, and 7% had tried e-cigarettes. Significant predictors of e-cigarette use include male gender and cigarette smoking experience |
| Dawkins et al. ( | Online survey hosted by the University of East London with links from TECC/TWEL websites | 1347 Respondents, mean age 43 years, 70% male and 96% Caucasian | Respondents from 33 countries (72% European) | E-cigarettes are primarily used for smoking cessation, but for a longer duration than nicotine replacement therapies |
| Dockrell et al. ( | Three online surveys and one focus group. Respondents were recruited from panel of adults in Britains | February 2010 online population survey ( | Great Britain | E-cigarette use may bridge the smoking cessation process. There is little evidence to suggest that e-cigarettes is widely used among never smokers |
| Farsalinos et al. ( | Recruitment and survey of subjects who had completely substituted conventional cigarettes with e-cigarettes for at least 1 month | 111 Participants, 84% male, mean age 37 ± 6 years, that smoked at least 20–30, cigarettes/day. Participants had a mean smoking duration of 37 ± 6 years and a smoking cessation duration of 4–11 months | Visitors to a Hospital in Kallithea, Greece and to an electronic cigarette consumers’ internet forum in Greece | E-cigarettes with higher nicotine content were more successful in the smoking cessation process |
| Goniewicz et al. ( | Web-based survey of e-cigarette users | 179 Respondents | Poland | Participants primarily used e-cigarettes to cease smoking and reduce smoking related harm |
| Kralikova et al. ( | Interview of people smoking cigarettes on the street during May of 2012 | 2012 Respondents, average age 34 years, 51% male | 17 cities across the Czech Republic | About one fifth of smokers who try e-cigarettes go on to become regular e-cigarette users |
| Li et al. ( | Telephone-based survey by random digit dialing of the New Zealand Smoking Monitor to recruit current smokers and recent quitters | 840 Current smokers and recent quitters | New Zealand | Only 7% of respondents ever purchased e-cigarettes, 33% perceived e-cigarettes as less harmful than conventional cigarettes and 41% believed e-cigarettes are an acceptable means to smoking cessation |
| Pepper et al. ( | Online national survey of male adolescents in November 2011. Participants recruited through parents who were members of a panel of U.S. households | 228 Male adolescents, ages 11–19 years | United States | Only 2 of 228 adolescents had ever tried e-cigarettes.18% of adolescent who were aware of e-cigarettes were also willing to try them with no preference to plain or flavored |
| Pokhrel et al. ( | Cross-sectional survey of Hawaiian Islanders recruited through newspaper advertisement from 2010 to 2012 | 1567 Participants divided into two groups. Ever –e-cigarette users ( | Hawaiian Islands | Smokers who try e-cigarettes appear to be more serious about smoking cessation and treat e-cigarettes as valid alternatives to FDA-approved nicotine replacement therapies |
| Polosa et al. ( | Tracking daily consumption of cigarettes for 24 months | Follow-up observational study of Polosa et al. ( | Recruited from the local hospital staff in Catania, Italy | Long-term e-cigarette use can substantially decrease conventional cigarette consumption as verified by exhaled carbon monoxide |
| Regan et al. ( | Consumer-based mail-in survey | 10587 Adult (18 years or older) respondents in 2009 and 10328 adult (18 years or older) respondents in 2010 | United States | Awareness of e-cigarettes doubled from 16% in 2009 to 32% in 2010 |
| Sutfin et al. ( | Web-based survey in fall of 2009 | 4444 Students divided into two groups. Ever e-cigarette users ( | Students from eight North Carolina colleges | E-cigarette use is more common among smokers but not exclusive to them. E-cigarette use among college students does not appear to be motivated by intentions to quit |
| Vickerman et al. ( | Survey of callers to six state tobacco quit lines 7 months after initially receiving intervention | 2758 callers | United States | Only about one third of the respondents had ever tried e-cigarettes of which 62% used for <1 month |
| The actual states were not indicated | ||||
| Choi et al. ( | Eleven focus group discussions | 66 young adults, ages 18–26 years old | University of Minnesota, Minneapolis, Minnesota | Young adults perceive e-cigarettes and other new tobacco products positively, especially when they are flavored |
| Hua et al. ( | Data collected from postings of three high traffic online forums | Total of 632 posts from 560 different posters | Worldwide but mostly from the United States and Canada | A total of 405 different, mostly negative health-related effects, were reported by e-cigarette users |
Studies involving chemical analysis of e-cigarette cartridges, solutions, and mist.
| Authors (Reference) | E-cigarette brand | Substances tested | Analysis | Key finding |
|---|---|---|---|---|
| Laugesen ( | Runyon | TSNA | LC-MS | TSNAs are present but at levels much lower than in conventional cigarettes and too small to be carcinogenic |
| MAO-A and B inhibitors | Flourometric assay | MAO-A and B are inhibited by tobacco smoke but unaffected by e-cigarette fluid | ||
| PAH | GS-MS | Polycyclic aromatic hydrocarbons undetectable | ||
| Heavy metals | ICP-MS | Heavy metals were undetectable | ||
| CO | CO analyzer | Exhaled carbon monoxide does not increase after e-cigarette use | ||
| McAuley et al. ( | Brand not indicated. | TSNA | GC/MS | TSNA, PAH, diethylene glycol, VOC, and carbonyls in e-cigarette mist were all negligible compared to cigarette smoke. |
| PAH | GC/MS | |||
| Diethylene Glycol | GC/MS | |||
| VOC | HS-GC/MS | |||
| Carbonyls | HPLC-UV | |||
| Pellegrino et. al. ( | Italian brand of e-cigarettes | Particulate matter | Particle counter and smoking machine | Particulate matter is lower in e-cigarette mist compared to cigarette smoke |
| Abstract in English | ||||
| Full article in Italian | ||||
| Goniewicz et al. ( | Eleven brands of Polish and one brand of English e-cigarettes | CarbonylsVOCTSNAHeavy metals | HPLC-DAD GC-MS UPLC-MS ICP-MS | TSNA, VOC, and carbonyl compounds were determined to be between 9 and 450 times lower in e-cigarettes mist compared to conventional cigarette smoke |
| Heavy metals present in e-cigarette mist | ||||
| Kim and Shin ( | 105 Replacement liquid brands from 11 Korean e-cigarette companies | TSNA | LC-MS | TSNAs are present at low levels in e-cigarette replacement liquids |
| Schripp et al. ( | Three unidentified brands | VOC | GC-MS | VOC in e-cigarette cartridges, solutions, and aerosolized mist were low or undetectable compared to conventional cigarettes |
| Particulate matter | Particle counter and smoking machine | Particulate matter is lower in e-cigarette mist compared to cigarette smoke | ||
| Westenberger ( | Njoy | TSNA | LC-MS | TSNA present |
| Smoking everywhere | Diethylene glycol | GC-MS | Diethylene glycol present | |
| Tobacco specific impurities | GC-MS | Tobacco specific impurities present | ||
| Trehy et al. ( | Njoy | Nicotine related impurities | HPLC-DAD | Nicotine related impurities present |
| Smoking everywhere | ||||
| CIXI | ||||
| Johnson creek | ||||
| Hadwiger et al. ( | Brand not indicated | Amino-tadalafil | HPLC-DAD-MMI-MS | Amino-tadalafil present |
| Rimonabant | Rimonabant present | |||
| Williams et al. ( | Brand not indicated | Heavy metals | ICP-MS | Heavy metal and silicate particles present in e-cigarette mist |
| Silicate particles | Particle counter and smoking machine, light and electron microscopy, cytotoxicity testing, x-ray microanalysis | |||
TSNA, tobacco specific nitrosoamines; LC-MS, liquid chromatography-mass spectrometry; MAO-A and B, monoamineoxidase A and B; PAH, polycyclic aromatic hydrocarbons; GS-MS, gas chromatography – mass spectrometry; ICP-MS, inductively coupled plasma – mass spectrometry; CO, carbon monoxide, VOC, volatile organic compounds; UPLC-MS, ultra-performance liquid chromatography-mass spectrometry; HPLC-DAD-MMI-MS, high performance liquid chromatography-diode array detector-multi-mode ionization-mass spectrometry.
Studies involving nicotine content, delivery, and pharmacokinetics.
| Authors (Reference) | E-cigarette brand | Devices, substances or parameters tested | Study design and analysis | Key finding |
|---|---|---|---|---|
| Bullen et al. ( | Ruyan | Nicotine pharmacokinetic profile was determined in … | Plasma nicotine (ng/ml) was determined by HPLC-EC in participants who smoked at least 10 cigarettes/day | Vaping e-cigarettes produce a nicotine pharmacokinetic profile very similar to the Nicotrol inhalers but considerably lower than smoking a cigarette |
| E-cigarette with 16 mg nicotine ( | ||||
| Nicotrol inhaler with 10 mg nicotine ( | ||||
| Participant’s usual cigarette ( | ||||
| Eissenberg ( | Njoy Crown seven | Plasma nicotine and heart rate measured before and after 10 puffs of each device was determined in the following groups … | Sixteen smokers, naïve to e-cigarettes were cycled through the four device groups. Participants were required to have a 12-h period of cigarette abstinence before the start of each device test and 48-h between each device test | Smoking, but not vaping, significantly increased plasma nicotine and heart rate |
| Njoy (16 mg nicotine) | ||||
| Crown seven (16 mg nicotine) own brand cigarette | ||||
| Sham own brand cigarette | ||||
| Vansickel et al. ( | Njoy Crown seven | Plasma nicotine, expired carbon monoxide and heart rate measured before and after 10 puffs of each device were determined in the following groups … | Sixteen smokers, naïve to e-cigarettes were cycled through the four device groups. Participants were required to have a 12-h period of cigarette abstinence before the start of each device test and 48-h between each device test | Plasma levels of nicotine, expired carbon monoxide, and heart rate all increased after smoking, but not vaping |
| Njoy (18 mg nicotine) | ||||
| Crown seven (16 mg nicotine) | ||||
| Own brand cigarette | ||||
| Sham own brand cigarette | ||||
| Etter and Bullen ( | Own brand e-cigarettes | Salivary cotinine and heart rate | Experienced e-cigarette users vaped | Vaping and smoking induce similar increases in salivary cotinine levels and heart rate |
| Czogala et al. ( | Brand not indicated | Systolic pressure Diastolic pressure | Comparison of hemodynamic parameters in smokers ( | Vaping e-cigarettes failed to induce the typical hemodynamic parameters associated with traditional smoking |
| Dawkins et al. ( | White Super | Desire to smoke | Random allocation of 86 smokers into one of three groups. Desire to smoke and withdrawal symptoms rated at 0, 5, and 20 min after vaping | E-cigarettes eliminated nicotine withdrawal symptoms and desire to smoke and enhanced working memory performance, suggesting efficient nicotine delivery |
| Ingebrethesen et al. ( | Two different brands not specified | E-cigarette aerosol particle size | Smoking machine and spectral transmission procedure | Particle size in e-cigarette aerosol and conventional cigarette smoke for nicotine delivery are similar |
| Cigarette smoke particle size | ||||
| Vansickel et al. ( | Vapor king | Plasma nicotine concentration, heart rate, urge to smoke cigarette, and nicotine withdrawal symptoms tested in four sessions. Session 1: 10 puffs of e-cigarette; Session 2: choice of 10 puffs of e-cigarette or cash; Session 3: choice of 10 puffs of e-cigarette or 10 puffs of conventional cigarette; Session 4: choice of 10 puffs of conventional cigarette or cash. Each session consisted of 6 bouts of puffing and bouts were 30 min apart | Twenty smokers, not currently using e-cigarettes, were cycled through four experimental sessions. Participants were required to have a 12-h period of cigarette abstinence before the start of each device test and 48-h between each device test No mention of how nicotine was assayed | E-cigarettes deliver significant amounts of nicotine, increase heart rate, and reduce nicotine withdrawal symptoms and the urge to smoke |
| Zhang et al. ( | Bloog MaxX fusion | E-cigarette aerosol particle size Alveolar delivery | Smoking machine and scanning mobility particle sizer | E-cigarette aerosol particle diameter was slightly larger and calculated alveolar delivery is slightly lower when compared to cigarette smoke. Nicotine delivery depends on vaping technique, particle evolution, and cloud effect |
| Dawkins and Corcoran ( | First-generation e-cigarette (18 mg/ml nicotine) | Plasma nicotine Tobacco withdrawal symptoms Urge to smoke | Fourteen experienced e-cigarette users abstinent from smoking and vaping for 12 h before test period | Vaping-induced reliable nicotine delivery after acute use in experienced e-cigarette users. Tobacco-related withdrawal symptoms and urge to smoke were reduced |
| Blood samples collected at baseline (0 min), after 10 puffs, after 1 h | ||||
| Dawkins et al. ( | Tornado | Desire to smoke and prospective memory was determined in two sessions | Twenty smokers, abstinent for 8–10 h, cycled through two experimental sessions. Desire to smoke was determined using “Single-Item Desire to Smoke Scale” and “Mood and Physical Symptoms Scale.” Prospective memory was measured using “Cambridge Prospective Memory Test” | Nicotine from e-cigarettes improves time-based prospective memory, suggesting efficient nicotine delivery |
| Session 1: e-cigarette (18 mg nicotine) | ||||
| Session 2: e-cigarette (0 mg nicotine) | ||||
| Etter et al. ( | Twenty models of the 10 most popular brands of refill liquids for e-cigarettes | Contents of nicotine, nicotine degradation products, and nicotine impurities | GC and LC | The nicotine content in refill bottles are close to what is indicated on the label. Impurities in several brands are detectable but at levels considered harmless |
| Farsalinos et al. ( | Nobacco | Puff number and duration, inhalation time, exhalation time, and nicotine consumed was determined in the following groups … | Forty-five e-cigarette users and 35 smokers (smokers were in a randomized cross-over design) were observed for puff number and duration, and inhalation and exhalation times using video recordings. Nicotine consumed (e-cigarette group only) was measured by loss of weight of liquid in cartridge using a precision balance | E-cigarette use topography and conventional cigarette use topography are different. At least 20 mg/ml nicotine in e-cigarette liquid is required to deliver the same amount of nicotine as conventional cigarettes |
| E-cigarette users (vaping) | ||||
| Smokers (smoking and vaping subgroups) | ||||
| Flouris et al. ( | Nobacco | Serum cotinine was determined in … Smokers Never smokers | Smokers ( | Acute vaping and acute smoking induce similar increases in serum cotinine levels |
| Goniewicz et al. ( | Sixteen popular brands of e-cigarettes from Poland, United Kingdom, and United States | Nicotine content in e-cigarette aerosol | E-cigarette aerosol was generated using smoking machine. Nicotine content in aerosol was determined using GS-TSD | Nicotine in e-cigarette aerosol is lower than in cigarette smoke. Efficacy and consistency of nicotine vaporization between brands is variable |
| Hua et al. ( | Various brands | Puff duration | Analysis of Youtube videos of nine conventional smokers and 64 e-cigarette users | Longer puff durations may help e-cigarette users to compensate for poor nicotine delivery |
| Exhalation duration | ||||
| Vansickel and Eissenberg ( | Own brand | Plasma nicotine | Blood samples were collected at baseline (0 h), after 10 puffs, after 1 h | Vaping and smoking induce similar increases in plasma nicotine and heart rate |
| Heart rate | ||||
| Experienced e-cigarette users ( | ||||
| Westenberger ( | Njoy Smoking everywhere | Nicotine content in solutions and mist | HPLC-UV | The nicotine in several e-cigarette solutions is too variable to be considered safe. The amount of nicotine delivered per puff is inconsistent |
| Hadwiger et al. ( | Brand not indicated | Nicotine content in solutions | HPLC-UV | Presence of nicotine in products labeled as containing no nicotine |
| Trtchounian et al. ( | Liberty stix Smoking everywhere Njoy Crown seven versus eight brands of conventional cigarettes | Vacuum required for each puff Aerosol or smoke density | Manometer coupled to smoking machine Absorbance measurement using a spectrophotometer | More vacuum required to vape than to smoke. Smoke and aerosol density remained stable for conventional and e-cigarettes over the first 10 puffs. Aerosol density for e-cigarettes gradually decreased as e-cigarette life extended to 300 puffs. This is reflected by a gradual increase in vacuum required for each puff on the e-cigarette. |
| Trehy et al. ( | Njoy | Nicotine content in solutions and nicotine delivery/puff | HPLC-UV Smoking machine | Nicotine in e-cigarette cartridges and refill solutions is inaccurately labeled and nicotine content varies by manufacturer. The amount of nicotine delivered per puff is consistent. |
| Smoking everywhere | ||||
| CIXI | ||||
| Johnson Creek | ||||
| Trtchounian and Talbot ( | Njoy Ncig Liberty stix Crown seven Smoking everywhere VapCigs | Design flaws and defective parts | E-cigarettes were purchased online. Information about the parameters inspected was obtained via e-mail to vendors or by visual inspection of the product and product literature | Design flaws, lack of adequate labeling, concerns about control and health issues argue for removal of e-cigarettes from the market |
| Labels on cartridges, and wrappers | ||||
| Leakiness of cartridges | ||||
| Disposal documentation | ||||
| Errors in filling of mail orders | ||||
| Instruction manual Truth in advertisement | ||||
| Williams and Talbot ( | Various brands | Airflow rate required to produce aerosol Pressure drop Aerosol density | Airflow meter Manometer Absorbance measurement using a spectrophotometer | Significant variability exists between and within brands of e-cigarettes in the airflow rate required to produce aerosol, the pressure drop, the length of time cartridges last, and production of aerosol |
| Cheah et al. ( | Twenty different brands of e-cigarettes | Nicotine content in cartridges E-cigarettes quality and documentation | GC-MS Visual inspection of the product and product literature | Variable nicotine content in cartridges of the same brand, and inconsistency with product labeling, along with misleading information on labels raises concern about e-cigarette safety |
| Cameron et al. ( | Brands of e-cigarette nicotine solutions and cartridges tested include … | Nicotine content in solutions and cartridges | LC-MS | Nicotine levels in e-cigarette solutions were too variable to be considered safe |
| Vapor liquid | ||||
| No Brand liquid | ||||
| Smart Smoke liquid | ||||
| BE112 cartridge | ||||
| Vapor cartridge | ||||
HPLC-EC, high performance liquid chromatography – electrochemical detection; GS, gas chromatography; LC, liquid chromatography; GC-TSD, gas chromatography – thermionic specific detection; HPLC-UV, high performance liquid chromatography – ultraviolet detection; GS-MS, gas chromatography – mass spectrometry; LC-MS, liquid chromatography-mass spectrometry; NRT, nicotine replacement therapy.
Studies involving clinical and physiological effects of acute vaping.
| Authors (Reference) | Study design | Subjects | Study location | Key finding |
|---|---|---|---|---|
| Caponnetto et al. ( | Three case reports | A 47-year old male A 38-year old female A 65-year old male | University of Catania, Catania, Italy | Participants successfully switched from conventional cigarettes to e-cigarettes and then quit e-cigarettes. Smoking cessation confirmed by exhaled carbon monoxide |
| Bahl et al. ( | Human embryonic stem cells, and pulmonary fibroblasts | University of California, Riverside, California | Nicotine in e-cigarette refill fluids had no effect on the cytotoxicity of human embryonic stem cells | |
| Flouris et al. ( | Repeated-measures controlled study | Thirty human smokers (8 male) cycled through a control session, active smoking session, and active vaping session Fifteen never smokers (8 male) cycled through a control session, passive smoking session and passive vaping session | FAME Laboratory, Institute of Human Performance and Rehabilitation, Center for Research and Technology, Trikala, Greece | Acute smoking, but not acute vaping, induced increases in white blood cell count, lymphocyte count and granulocyte count |
| University of Thessaly, Trikala, and Larissa, Greece | ||||
| Palamas Health Center, Kardista, Greece | ||||
| University of Botswana, Botswana | ||||
| University of Crete, Crete, Greece | ||||
| University of Wolverhampton, United Kingdom | ||||
| Farsalinos and Romagna ( | Case report | A 28-year old male with chronic iodiopathic neutrophilia | Onasis Cardiac Surgery Center, Kallithea, Greece and Abich ABICH S.r.l. Toxicological Laboratory, Verbania, Italy | Smoking cessation and e-cigarette use reversed symptoms of chronic iodiopathic neutrophilia. Smoking cessation was confirmed by exhaled carbon monoxide |
| Flouris et al. ( | Repeated-measures controlled study | Thirty human smokers (8 male) cycled through a control session, active smoking session and active vaping session. Fifteen never smokers (8 male) cycled through a control session, passive smoking session, and passive vaping session | FAME Laboratory, Institute of Human Performance and Rehabilitation, Center for Research and Technology, Trikala, Greece | Vaping produced smaller changes in pulmonary function but similar nicotinergic impact compared to smoking |
| Romagna et al. ( | Murine Fibroblasts | ABICH S.R.L. Toxicological Laboratory, Verbania, Italy | Extract of e-cigarette mist is less cytotoxic than extract of cigarette smoke to murine fibroblasts | |
| Bahl et al. ( | Human embryonic stem cells, and pulmonary fibroblasts | University of California, Riverside, California | The number and concentration of chemicals (other than nicotine) used to flavor e-cigarette refill fluids increased cytotoxicity | |
| McCauly et al. ( | Case report | A 42-year woman with exogenous lipoid pneumonia | Legacy Good Samaritan Medical Center, Portland, Oregon | Termination of e-cigarette use cleared the exogenous lipoid pneumonia |
| Vardavas et al. ( | Laboratory-based intervention study | Active vaping (experimental) for 5 min in smokers (14 men) versus passive vaping (control) for 5 min in 10 smokers randomly selected from the experimental group | Participants from a community in Athens, Greece | Five minutes acute vaping-induced a decrease in exhaled nitric oxide, and an increase in airway resistance and impedance in experienced smokers |