Research Article - Allied Journal of Medical Research (2017) Volume 1, Issue 1
Nicotine replacement therapy and varenicline: A cohort study in low-income region (Monastir, Tunisia).
Asma Sriha Belguith1*, Arwa Ben Salah1, Hanene Maatouk2, Ines Bouanene1, Hela Abroug1, Manel Ben Fredj1, Mouna Safer1, Faycal Samaali3 and Mohamed Soltani1
1Community Medicine Department, University Hospital of Monastir, University of Medicine, Monastir, Tunisia
2Family of Medicine Monastir, Tunisia
3Head of Direction of Basic Health Care Tunis, National Tobacco Control, Tunisia
- *Corresponding Author:
- Asma Sriha Belguith
Associate Professor, Preventive Medicine and Epidemiology Service
Community Medicine Department, University of Medicine, Monastir
Tel: 216 97238022
E-mail: belguith_asma@yahoo.fr
Accepted date: 01 July 2017
Citation: Belguith AS, Salah AB, Maatouk H, et al. Nicotine replacement therapy and varenicline: A cohort study in low-income region (Monastir, Tunisia). Allied J Med Res 2017;1(1):16-22.
DOI: 10.35841/medical-research.1.1.16-22
Visit for more related articles at Allied Journal of Medical ResearchAbstract
Background: Among motivated Smokers, cessation can be performed by Nicotine Replacement Therapy (NRT), or by Varenicline (VAR). We aimed at determining quit rates among two cohorts, treated by NRT or VAR and, at identifying factors associated to quit and relapse delays. Methods: We carried out a prospective cohort study at the smoking cessation center of the University Hospital of Monastir, in Tunisia from April 2009 to January 2012. Results: 1042 active smokers have been followed in smoking cessation center between April 2009 and December 2010. One hundred eighty two participants had met the inclusion criteria and had agreed to participate in our study. Abstinence rates, were, 61.5% at 3 month follow up and 36.3% at one year (p=0.01). After adjusting on age, alcohol consumption, anxiety scale, and exhaled carbon monoxide values, there were no significant differences on abstinence rates in two groups NRT or VAR. In multivariate analysis, factors associated to a precipitate smoking relapse were presence of anterior previous attempts (HR: 0.10; 95% CI: 0.030-0.328), living with smokers at home (HR: 2.541; 95% CI: 1.019-6.336), having five following visits (HR: 0.091; 95% CI: 0.017-0.500) and having minimal withdrawal syndrome reveled on follow up (HR: 0.23; 95% CI: 0.08-0.662). Whereas, factors associated to quit delay was the use of NRT at the expense of VAR (HR: 4.966; 95% CI: 2.81-8.76). Conclusions: Relapse was not associated to treatment classes, whereas NRT have the benefit of a longer quit duration.
Keywords
Smoking cessation, Varenicline, Nicotine replacement therapy, Cohort study, Tunisia
Abbreviations
OR: Odds Ratio, CI95%: Confidence Interval 95%.
Introduction
Tobacco smoking is a global health problem. Worldwide, there are about 1 billion male and 250 million female smokers [1]. In Tunisia, half of men were daily tobacco smokers in 2013 [2], among them 37% were Heavy Smokers HS (consumed 20 cigarettes per day and more) [3]. Most dependent smokers cannot successfully quit smoking because of nicotine addiction [4] that’s why, despite of their lack of convincingness, they must need therapies [5]. Different smoking cessation therapies are now available such as Nicotine Replacement Therapy (NRT) and Varenicline (VAR). The NRT is an effective and a safe way to quit smoking. It has become the standard pharmacological treatment [6]. Likewise, VAR increase the chances of successful long-term smoking cessation between threefold compared with pharmacologically unassisted quit attempts, Hence it is a promising treatment option. [7-10]. Avoid the “Under-replacement” of standard doses of NRT among HS, by adjusting NRT dose depending on number of cigarettes consumed per day, is necessary to shun disappointing treatment efficacy results [11]. Studies on the effect of these two treatments on heavy smokers are rare. The objective of this study was to compare smoking cessation success and identify factors influencing quit and relapse delays.
Methods
Study setting
Fattouma Bourguiba University Hospital is a tertiary level teaching hospital. The center of smoking cessation, localized at the external consultation, is supporting by experienced specialists and provides quality services and treatment.
Study area
Monastir governorate is a tourism-oriented city, situated in the coastal region of Tunisia. It covers 0.7% area of all Tunisian territory and 5% of the Tunisian population live in.
Study cohort
One thousand forty two active smokers, who presented to smoking cessation center between April 2009 and December 2010, have received pharmacological and behavioural therapy. Inclusion criteria were being HS (consuming more than 19 cigarettes per day); aged more than 18 years, motivated to quit and accepting to take part in this study including a follow-up examination every 2 weeks. Pregnant and breastfeeding women were not included.
Method
Inclusion runs over a period of nine months (April 2009- December 2010). Period follow up, was over 24 weeks with a 2 weeks rhythm of visits. A phone survey was conducted on January 2012 to assess abstinence status. For phone interview, patients who attend follow up visits and used their medication regularly as prescribed, were paired on treatment NRT vs. VAR using electronic Random sampling (SPSS).
Nicotine replacement therapy: The aim of NRT is to replace nicotine from cigarettes, reducing withdrawal symptoms associated to smoking cessation and helping ex-smokers to resist the urge to smoke cigarettes [6]. In Tunisia available nicotine patch delivers nicotine through the skin in a steady dose. It’ is available in 7, 14, and 21 mg doses worn over 24 hours [12]. Hence, oral NRTs provide smokers with a coping strategy when cigarette cravings occur [7]. Combined NRT formulations have been shown to result in higher abstinence rates than single NRT. The effectiveness of NRT appears to be largely independent of the intensity of additional support provided to the smoker [6]. NRT can be used, in first step to reduce smoking, followed by complete quit and long-term abstinence [7]. Among HS, for avoiding the “Under-replacement” of standard doses of NRT, we have substituted one mg of nicotine provided by cigarettes consumed per day by one mg in NRT, than participant smoking 40 cigarettes per day was substituted by two nicotine patchs of 21 mg associated to oral NRT [11].
Varinicline: Cytisine structure is behind the development of varenicline. His structure similar to nicotine and acetylcholine through their action as an agonist at α4β2nAChRs, stimulates the release of dopamine [13]. The affinity of varenicline for the α4β2nAChRs receptor is approximately three-fold and 16-fold greater than that of cytisine and nicotine. Consequently to its high affinity, it blocks nicotine-induced dopaminergic activation, potentially reducing the reward from smoking relapse. Smokers treated with varenicline should normally aim to quit approximately 1 week after the start of the treatment, a flexible quit-date is recommended [9].
Study interventions: At first visit, enrolled patients received a therapeutic education dealing with medication action and management. They were asked to choose between NRT and VAR. In the NRT group, the 24-h nicotine patch delivery system was used to aid smoking cessation. Subjects who smoked 40 cigarettes per day began with two 21 mg/day nicotine patch, one per arm, for the first four weeks, two patch of 14 mg/day in weeks five to eight, 21 mg/day in weeks nine to twelve, and 14 mg/day for four weeks finally 14 mg/day until 20th week. Nicotine tablet was used when needed to fight cravings. In the VAR group, patients received 0.5 mg/d VAR for three days, followed by 1 mg/d (0.5 mg twice daily) for four days. On day 8, the target quit date, the VAR dose was increased to 1 mg twice daily until 12th week.
Baseline assessments: We have collected demographic information (age, gender, educational level), smoking related information (daily number of cigarettes, previous attempts; other household smokers, alcohol use, level of smoking addiction (using the French version of the Fagerström test for nicotine dependence: FTND), Anxiety and depressive behaviour (using the French version of Hospital Anxiety and Depression Scale: HAD) [14]. We often have determined exhaled carbon monoxide levels.
Assessment: Smoking status and adverse effects were notified at follow up visits and at the phone survey. Smoking status was assessed by self-report of smoking in the preceding 7 days. Self-reported abstinence was confirmed using biochemical validation via exhaled carbon monoxide levels (cut off: 8 ppm) [3]. The adverse effects included those related to quit (urges to smoke, headaches, feeling nervous, memory impairment, sleep disorder, increased appetite) and those related to the treatment (gastric ache, nausea and dermal reaction) [4].
Statistical analyses
Analyses performed with SPSS for Windows version 20.0. Data was expressed in terms of proportions, for categorical variables, means and standard deviation for quantitative variables. Categorical variables were compared with Pearson χ2-test. We have performed an analysis adjustment for confounders using logistic regression. We have used a multivariate survival analyses (Cox regression) to identify predictors of relapses and of quit. In fact in our longitudinal study smokers could make quit attempts at different times during the follow-up, and they also may have different lengths of follow-up. This method allows for differential follow-up and efficiently accommodates missing data due to censoring. First we have performed Kaplan-Meier method including all factors associated with the outcome, second factors were included in the Cox regression model when p ≤ 0.20. Findings were considered statistically significant at p<0.05.
Results
From April 2009 to December 2010, a total of 1042 HS were assessed. One hundred eighty two were eligible to study criteria. Four women were included (2.2%). Mean age was 37.8 years (SD: 11.8). Out of these 91 (50%) received VAR. Table 1 shows smokers characteristics at baseline, patients in VAR cohort was younger and more anxious than those treated with NRT. Abstinence rates, were, 61.5% at the latest follow-up visit and 36.3% at one year (p=0.01). Smoking cessation rates, adjusted by age, alcohol consumption, anxiety, and ECM values, at one year were statistically comparable between the two groups NRT or VAR (The quit rates were 46.2% and 26.4% respectively with NRT and VAR at one year (p=0.646; adjusted OR 1.28; CI 95%: 0.44-3.74).
VAR (91); n (%) | NRT (91); n (%) | p | |
---|---|---|---|
Age: more than 40 years | 17 (18.9) | 52 (57.1) | 0 |
Gender: Male | 89 (97.8) | 89 (97.8) | 1 |
Education: Bachelor degree and higher | 48 (54.5) | 41 (45.1) | 0.2 |
Previous attempt | 69 (76.7) | 67 (73.6) | 0.64 |
Live with home smokers | 33 (38.8) | 28 (30.8) | 0.26 |
Alcohol use | 27 (30.3) | 2 (09.5) | 0.05 |
Fagerström scale: 7 and more | 57 (62.6) | 68 (74.7) | 0.08 |
Anxiety scale: More than 11 | 19 (22.6) | 9 (09.9) | 0.02 |
Depression scale: More than 11 | 3 (03.6) | 0 (00.0) | 0.07 |
Cigarettes consumed per day (%). | |||
20-30 | 64 (70.3) | 58 (63.7) | 0.34 |
31 and more | 27 (29.7) | 33 (36.3) | |
One co-morbidity and more | 17(18.7) | 21(23.1) | 0.47 |
Have a morning cough | 32 (35.2) | 24 (26.4) | 0.2 |
Have an effort dyspnea | 44 (48.4) | 45 (49.5) | 0.94 |
ECM; median, IIQ (ppm) | 15 (7.0) | 18 (13.0) | 0 |
VAR: Varenicline; NRT: Nicotine Replacement Therapy; ECM: Exhaled Carbon Monoxide; ppm: Particles Per Million |
Table 1: Participants’ characteristics at baseline.
Likewise adverse effects rates were similar in two groups. Urge to smoke and feeling nervous were the most adverse effects, related to quit, described respectively in NRT (25.3%) and VAR cohorts (26.4%) (Table 2). In multivariate analysis, factors associated to smoking relapse at one year were presence of anterior previous attempts (HR: 0.10; 95% CI: 0.030-0.328), living with smokers at home (HR: 2.541; 95% CI: 1.019-6.336), having five following visits (HR: 0.091; 95% CI: 0.017-0.500) and having minimal withdrawal syndrome revealed on follow up (HR: 0.23; 95% CI: 0.08-0.662) (Table 3). Factors associated to quit delay were the use of NRT at the expense of VAR (HR: 4.97; 95% CI: 2.81-8.76) (Table 4).
Varenicline | NRT | P* | |
---|---|---|---|
Smoking cessation at follow up | |||
No: n (%) | 46 (50.5) | 24 (26.4) | 0.251* |
YES: n (%) | 45 (49.5) | 67 (73.6) | |
Smoking cessation at one year | |||
No: n (%) | 67 (73.6) | 49 (53.8) | 0.646* |
YES: n (%) | 24 (26.4) | 42 (46.2) | |
Adverse effects | |||
No: n (%) | 46 (50.5) | 23 (25.3) | |
One | 23 (30.3) | 30 (33.0) | |
More than one | 22 (28.9) | 38 (41.7) | |
Adverse effects related to quit | |||
Urges to smoke | 4 (05.5) | 23 (25.3) | |
Headaches | 6 (08.3) | 17 (18.7) | |
Feeling nervous | 19 (26.4) | 2 (02.2) | |
Memory impairment | 7 (09.7) | 1 (01.1) | |
Sleep disorder | 6 (08.3) | 13 (14.3) | |
Increased appetite | 4 (05.5) | 5 (05.5) | |
Adverse effects related to treatment | |||
Gastric ache | 24 (33.3) | 1 (01.1) | |
Dermal Reaction | 0 | 11 (12.1) | |
*: Adjusted on age, Alcohol use, Anxiety scale, Exhaled carbon monoxide values |
Table 2: Quit rates and adverse effects among study participants.
HR | CI 95% HR | p | ||
---|---|---|---|---|
Treatment classes | ||||
VAR | 1 | |||
NRT | 0.701 | 0.392 | 1.25 | 0.231 |
Anterior previous attempts | ||||
No | ||||
Yes | 0.1 | 0.03 | 0.33 | 0 |
Living with smokers at home | ||||
No | 1 | |||
Yes | 2.541 | 1.019 | 6.34 | 0.046 |
number of follow up visits | 0.013 | |||
2 | 0.214 | 0.053 | 0.86 | 0.03 |
3 | 1.38 | 0.433 | 4.4 | 0.585 |
4 | 0.198 | 0.034 | 1.14 | 0.069 |
5 | 0.091 | 0.017 | 0.5 | 0.006 |
Number of difficulties during smoking cessation | 0.037 | |||
1 | 0.23 | 0.08 | 0.66 | 0.006 |
2 | 0 | 0 | 0.98 | |
3 | 0.23 | 0.046 | 1.15 | 0.073 |
Variables included in multivariate model were: Age of first cigarette; Anterior previous attempts, Living with smokers at home, Importance of smoking cessation, self confidence in quitting smoking, treatment classes (NRT/VAR),number of follow up visits, Number of difficulties during smoking cessation, level of study (baccalaureate). |
Table 3: Factors associated to relapses delay in a cohort of smokers consuming 20 cigarettes and more in a low income region (Monastir; Tunisia).
HR | CI 95% | HR | p | |
---|---|---|---|---|
Treatment classes | ||||
VAR | 1 | |||
NRT | 4966 | 2814 | 8,764 | 0,000 |
Self-importance of smoking cessation (scale 0-10) | ||||
<8 | 1 | |||
≥8 | 1150 | 0,955 | 1,384 | 0,140 |
Being abstinent | ||||
Less than 4th follow up visit | 1 | |||
4th follow up visit and more | 0,906 | 0,565 | 1,452 | 0,682 |
Variables included in multivariate model were: treatment classes (NRT/VAR), Self-importance of smoking cessation, Being abstinent at 4th follow up visit, gain follow up, disponibilité ttt, comorbidité |
Table 4: Factors associated to quit delay in a cohort of smokers consuming 20 cigarettes and more in a low income region (Monastir; Tunisia).
Discussion
We have determined that the overall success rate was 36.3% at one year and that adjusted abstinence rates were similar in two groups NRT vs. VAR. Likewise we have identified associated factors to quit and to relapse among participants consuming 20 cig per day and more.
Our finding highlights that younger, drinkers and anxious HS smokers have significantly chosen VAR at the expense of NRT, similarly Aubin H J, in his review, has described that VAR was preferred to NRT [9]. The quit rates were 46.2% and 26.4% respectively with NRT and VAR (adjusted p=0.646). Our results were similar to those described by Aubin HJ [9]. Gray KM and Cahill K have described the superiority of NRT versus VAR [14-16]. Kaduri P, Kotz D and Hsueh KC, have revealed higher efficacy of VAR (Table 5) [17-19]. Those differences in results can be explained by ethnic [20], gender [21,22], degree of dependence [3] and the study design. Koegelenberg D and Chang PH have established advantageous rates by the association of NRT and VAR [22,23]. Also, Ramon JM had demonstrated better results of abstinence at 24th week with combination NRT and VAR among smokers consuming more than 29 cig per day (OR 1.46; 95% CI 1.2-2.8) [24]. The abstinence rates at one year, among our cohorts, were equivalent to that described by Kapaya with NRT [25].
Authors | Comparison | n | Survey date | VAR (%) | NRT (%) | OR (95% CI) |
---|---|---|---|---|---|---|
Gray KM (20) | VAR/NRT | 67/73 | 4 weeks | 9.6 | 22.4 | |
Cahill K (21) | VAR/NRT | 26 weeks | 27.6 | 31.5 | 1.57 (1.29-1.91) | |
Kaduri, P (16) | VAR/NRT | 98/98 | 33.7 | 18.4 | 1.71; 1.05-2.79 | |
Koegelenberg CF (17) | NRT+VAR/VAR | 435 | 24 weeks | 32.6 | 49.0** | 1.98; 1.25-3.14 |
Kotz D (22) | VAR/NRT | 118/152 | 24 weeks | 39.8 | 19.7 | 3.83 (1.88-7.77) £ |
Hsueh (23) | VAR/NRT | 144 weeks | 18.9 | 7.6 | 7.94 (1.87-33.74) £ | |
Our study (%) | NRT/VAR | 91/91 | 52 week | 26 | 46 | 1.28 (0.44-3.74) |
Aubin HJ (9) | VAR/ NRT | 376/370 | 24-52 week | 26.1 | 20.3 | 1.40 ( 0.99-1.99) £ |
*: Varenicline or Bupropion, ** NRT+Varenicline, £ Varenicline versus NRT; |
Table 5: Rates of success in smoking cessation in literature.
In our study, urge to smoke was the major withdrawal symptom perceived with NRT. The combination of dermal and oral NRT may reduce this disadvantage [26]. Aubin has illustrated that NRT safety and tolerability is probably the best among the two first line medications for smoking cessation [9]. Urge to smoke was rarely perceived by the VAR cohort, may be, because of its ability to partially substitute the reinforcement-enhancing effects of nicotine [27]. Therefore, VAR had reduced significantly the withdrawal symptoms and craving compared to NRT [28]. Among our VAR cohort, feeling nervous was the most dis-advantage perceived and we haven’t registered serious side effects. The most frequent adverse events, described in the literature with VAR, were nausea [17,28], abnormal dreams and headaches [23]. Hartmann-Boyce had notified that there’s no evidence of a significant increase in serious adverse events in trial participants randomized to VAR when compared to placebo controls [29]. The abstinent rates were higher at follow up than at one year with two treatments. By stopping monitoring, exsmokers risked relapse, were left in environment encouraging tobacco consumption [2]. That's why; we propose managing tobacco consumption as a chronic disease, extending a standardized follow up for cessation until one year. Fiore MC, had recommended, a smoking reduction with NRT for few months, in the perspective to prepare smokers to make an attempt, with best chance of success [30]. In our study, we adjusted the patch’s doses in terms of the number of cigarettes smoked, by substituting each cigarette by one mg in the trans-dermal nicotine patch. Thereby, we substitute 40 cigarettes per day by two patches of 21 mg per 24 h. With VAR, for smokers of 40 cigarettes per day, maybe some nicotine receptors are not saturated and will not disaccustom. This “under-dosing” could be the cause of less abstinence rates among participants, high smokers, treated by VAR.
Several studies were interested to abstinence related factors and relapse. In our longitudinal study, factors decreasing relapse risk were presence of anterior previous attempts, having five following visits and minimal withdrawal syndrome reveled on follow up, while living with smokers at home increase this risk. Factors associated to quit at one year was the use of NRT at the expense of VAR. Chaiton M has demonstrated that exposure to smoking on patios of a bar or restaurant is associated with a high risk of relapse [31]. Halonen has indicated that living near a tobacco shop increases this risk [32]. Brennan has showed the interest of anti-tobacco television advertisements, on behavior change [33]. Narwani has indicated that the absence of co-morbidity, raise the likelihood to improve the period of abstinence, when treatment is finished [34]. Schwartz has criticized the important health management among sick smokers [35] we suggest, as Wilby that treatment should not be routinely prescribed to ill patients even in poor health [36] because implication of smokers in cessation process is very needful [37]. Authors recommended taking into consideration a refund or free treatment [38,39]. Cropsey et al. have indicated that providing medication increase cessation rates in criminal justice individuals supervised in the community [40]. Our results describing predictor factors associated to quit and to relapse in Tunisia, which is a low income country, were analogous to those described by Courtney RJ among low-socioeconomic status smokers in Australia [41]. Several studies must be conducted to explore the newly outbreak of electronic cigarettes [43].
Our study has many strengths and limitations that warrant discussion. Using a data cohort study over two years study period has allowed us the use of robust statistical methods to characterize the factors influencing abstinence in VAR and NRT cohort and those associate with the longer period of quit. Our analysis enabled us to suggest an available treatment in Tunisia among GS. However we are not able to assess gender effect that may influence the choice and rates of abstinence because of the lack of women smokers especially, those consuming more than 20 cigarettes per day in the study region.
Conclusion
High dependent smokers can be treated each with NRT and VAR. Number of adverse effects was less with VAR. NRT increase quit delay. We highlighted that we could managed tobacco consumption as a chronic disease, extending a standardized follow up during a period of one year and more.
Ethics Approval and Consent to Participate
We had an oral approval for smokers to participate in this study. We had not found refusal cases to take part in the study.
Acknowledgements
For the entire team of preventive medicine and epidemiology, as well as interns and residents, who, participated in data collection and consultation management. The Tunis direction of basic health care for the supply of medication, specially Dr Nabli Mounira for his availability and kindness. We offer this paper to our eminent Professor Soltani Mohammed, and the department head, who died in March 2016.
Funding
We have not used a funding for the research. The design of the study and collection, analysis, and interpretation of data and the writing of the manuscript was conducted by doctors in the smoking cessation center during their hours of work (public system with a lump payment). Treatments were well-stocked by Tunis direction of basic health care, managed by Nabli Mounira in 2011.
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