1
|
Robinson LE, Didier N, Thomas R, Vena A, King A. Combination Treatment With Varenicline and Nicotine Patch on Smoking Cessation Outcomes in Heavy Drinkers at 26-Week Follow-up. J Clin Psychopharmacol 2024; 44:362-368. [PMID: 38752924 PMCID: PMC11211054 DOI: 10.1097/jcp.0000000000001864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/28/2024]
Abstract
PURPOSE/BACKGROUND People who smoke cigarettes and drink alcohol heavily are less likely to quit smoking compared with those who do not drink heavily. The current study examined the effects of a 12-week treatment phase of combination varenicline and nicotine patch compared with placebo and nicotine patch on smoking cessation (primary outcome) and alcohol consumption (secondary outcome) in heavy drinking smokers at 26-week follow-up. METHODS/PROCEDURES Participants were daily smokers who met heavy drinking criteria. They were randomly assigned to receive either varenicline and nicotine patch (n = 61) or placebo and nicotine patch (n = 61) for 12 weeks. At week 26, self-reports of point prevalence cigarette abstinence were biochemically confirmed, and past-month alcohol drinking days and heavy drinking days were assessed. FINDINGS/RESULTS At week 26, smoking quit rates did not differ by treatment group (25% varenicline and 26% placebo). Relative to week 12 outcomes, week 26 quit rates significantly dropped off in the varenicline group but not in the placebo group. Alcohol drinking reductions for the whole sample that were previously observed from baseline to week 12 were sustained at week 26, although they did not differ between treatment groups. IMPLICATIONS/CONCLUSIONS In heavy drinking smokers, smoking cessation success was evident in a quarter of the total sample at 3 months postmedication discontinuation. At this time, quit rates were the same between those who received varenicline and nicotine patch and those who received nicotine patch alone. Future research is warranted to examine what may aid in longer-term smoking quit rates in heavy drinking smokers.
Collapse
Affiliation(s)
- Layne E Robinson
- From the Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago IL
| | - Nathan Didier
- From the Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago IL
| | - Riya Thomas
- From the Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago IL
| | | | - Andrea King
- From the Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago IL
| |
Collapse
|
2
|
Abushamma S, Chen LS, Chen J, Smock N, Pham G, Chen CH. Enabling tobacco treatment for gastroenterology patients via a novel low-burden point-of-care model. BMC Health Serv Res 2024; 24:752. [PMID: 38902682 PMCID: PMC11188289 DOI: 10.1186/s12913-024-11092-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 05/08/2024] [Indexed: 06/22/2024] Open
Abstract
BACKGROUND & AIM Smoking is a major risk factor for multiple gastrointestinal cancers, and adversely affects peptic ulcer disease, gastroesophageal reflux, pancreatitis and Crohn's disease. Despite key recommendations for diagnosing and treating tobacco use disorder in healthcare settings, the degree to which this is implemented in Gastroenterology (GI) clinics is unknown. We aimed to assess our providers' practices, identify barriers for implementing evidence-based smoking cessation treatments, and address these barriers by implementing a novel low-burden point of care Electronic health record-enabled evidence-based tobacco treatment (ELEVATE), in GI clinics. METHODS An online survey was distributed to clinic gastroenterologists. ELEVATE module training was implemented in 1/2021. Data were evaluated during pre (7/2020-12/2020) and post (1/2021-12/2021) implementation periods to evaluate the reach and effectiveness of ELEVATE. Generalized estimating equations (GEE) were used to generate rate ratios (RR) to evaluate the intervention. RESULTS 91% (20/22) of GI physicians responded to our survey, and only 20% often assisted patients who smoke with counseling. Lack of a systematic program to offer help to patients was reported by 80% of providers as an extremely/very important barrier limiting their smoking cessation practices. The proportion of current patients who smoke receiving cessation treatment increased from pre-ELEVATE to post-ELEVATE (14.36-27.47%, RR = 1.90, 95% CI 1.60-2.26, p < .001). Post-ELEVATE, 14.4% (38/264) of patients with treatment quit smoking, compared to 7.9% (55/697) of patients without treatment (RR = 1.89, 95% CI 1.26-2.82, p = .0021). CONCLUSION Smoking practices are frequently assessed in GI clinics but barriers limiting cessation treatment exist. The use of a low burden point of care EHR enabled smoking cessation treatment module has led to a significant improvement in the treatment of smoking and subsequent cessation in our clinics. This study sheds light on an often under-recognized source of morbidity in GI patients and identifies an efficient, effective, and scalable strategy to combat tobacco use and improve clinical outcomes in our patients.
Collapse
Affiliation(s)
- Suha Abushamma
- Division of Gastroenterology, John T. Milliken Department of Medicine, Washington University School of Medicine, 600 S. Euclid Avenue, MSC-8124-21-427, Saint Louis, MO, 63110, USA.
| | - Li-Shiun Chen
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
- Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA
| | - Jingling Chen
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Nina Smock
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
- Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA
| | - Giang Pham
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Chien-Huan Chen
- Division of Gastroenterology, John T. Milliken Department of Medicine, Washington University School of Medicine, 600 S. Euclid Avenue, MSC-8124-21-427, Saint Louis, MO, 63110, USA
| |
Collapse
|
3
|
Weeks GR, Gobarani RK, Abramson MJ, Bonevski B, Webb A, Thomas D, Paul E, Sarwar MR, Smith BJ, Perinpanathan S, Kirsa S, Parkinson J, Meanger D, Coward L, Rofe O, Lee P, van den Bosch D, George J. Varenicline and Nicotine Replacement Therapy for Smokers Admitted to Hospitals: A Randomized Clinical Trial. JAMA Netw Open 2024; 7:e2418120. [PMID: 38935378 PMCID: PMC11211956 DOI: 10.1001/jamanetworkopen.2024.18120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 04/22/2024] [Indexed: 06/28/2024] Open
Abstract
Importance Varenicline is the most effective sole pharmacotherapy for smoking cessation. If used in combination with nicotine replacement therapy (NRT), cessation rates may be further improved, but the efficacy and safety of the combination need to be evaluated. Objective To examine whether hospitalized smokers treated with varenicline and NRT lozenges achieve higher prolonged smoking abstinence rates compared with those treated with varenicline alone. Design, Setting, and Participants A double-blind, placebo-controlled randomized clinical trial was conducted in adult medical or surgical inpatients of 5 Australian public hospitals with a history of smoking 10 cigarettes or more per day, interested in quitting, and available for 12-month follow-up between May 1, 2019, and May 1, 2021 (final 12-month data collection in May 2022). Data analysis was performed from June 1 to August 30, 2023. Interventions A 12-week varenicline regimen was initiated during hospitalization at standard doses in all participants. Participants were randomized to additionally use NRT (2 mg) or placebo lozenges if there was an urge to smoke. Behavioral support (Quitline) was offered to all participants. Main Outcomes and Measures The primary outcome was biochemically verified sustained abstinence at 6 months. Secondary outcomes included self-reported prolonged abstinence, 7-day point prevalence abstinence (3, 6, and 12 months), and medicine-related adverse events. Results A total of 320 participants (mean [SD] age, 52.5 [12.1] years; 183 [57.2%] male) were randomized. The conduct of biochemical verification was affected by COVID-19 restrictions; consequently, the biochemically verified abstinence in the intervention vs control arms (18 [11.4%] vs 16 [10.1%]; odds ratio [OR], 1.14; 95% CI, 0.56-2.33) did not support the combination therapy. The secondary outcomes in the intervention vs control arms of 7-day point prevalence abstinence at 6 months (54 [34.2%] vs 37 [23.4%]; OR, 1.71; 95% CI, 1.04-2.80), prolonged abstinence at 12 months (47 [29.9%] vs 30 [19.1%]; OR, 1.77; 95% CI, 1.05-3.00), and 7-day point prevalence abstinence at 12-months (48 [30.6%] vs 31 [19.7%]; OR, 1.79; 95% CI, 1.07-2.99) significantly improved with the combination therapy. The self-reported 6-month prolonged abstinence (61 [38.6%] vs 47 [29.7%]; OR, 1.49; 95% CI, 0.93-2.39) favored the combination therapy but was not statistically significant. Medicine-related adverse events were similar in the 2 groups (102 [74.5%] in the intervention group vs 86 [68.3%] in the control group). Conclusions and Relevance In this randomized clinical trial of the combination of varenicline and NRT lozenges in hospitalized adult daily smokers, the combination treatment improved self-reported abstinence compared with varenicline alone, without compromising safety, but it did not improve biochemically validated abstinence. Trial Registration anzctr.org.au Identifier: ACTRN12618001792213.
Collapse
Affiliation(s)
- Gregory R. Weeks
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
- Pharmacy Department, Barwon Health, Geelong, Victoria, Australia
| | - Rukshar K. Gobarani
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
| | - Michael J. Abramson
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Billie Bonevski
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Bedford Park, South Australia
| | - Ashley Webb
- Department of Anaesthesia and Pain Management, Peninsula Health, Frankston, Victoria, Australia
| | - Dennis Thomas
- Centre of Excellence in Treatable Traits, College of Health, Medicine and Wellbeing, Hunter Medical Research Institute, University of Newcastle, Newcastle, New South Wales, Australia
| | - Eldho Paul
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Muhammad R. Sarwar
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
| | - Brian J. Smith
- General and Respiratory Medicine, Bendigo Hospital, Spring Gully, Victoria, Australia
| | | | - Sue Kirsa
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
- Monash Health, Clayton, Victoria, Australia
| | | | - Darshana Meanger
- Pharmacy Department, Eastern Health, Box Hill, Victoria, Australia
| | - Lisa Coward
- Department of Anaesthesia and Pain Management, Peninsula Health, Frankston, Victoria, Australia
| | - Olivia Rofe
- Pharmacy Department, Eastern Health, Box Hill, Victoria, Australia
| | - Paula Lee
- Pharmacy Department, Eastern Health, Box Hill, Victoria, Australia
| | - Denise van den Bosch
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
| | - Johnson George
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
| |
Collapse
|
4
|
Baris E, Arici MA, Tosun M. Nicotinic acetylcholine receptor-mediated effects of varenicline on LPS-elevated prostaglandin and cyclooxygenase levels in RAW 264.7 macrophages. Front Mol Biosci 2024; 11:1392689. [PMID: 38859932 PMCID: PMC11163068 DOI: 10.3389/fmolb.2024.1392689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 04/08/2024] [Indexed: 06/12/2024] Open
Abstract
Introduction: The purpose of this study is to delineate anti-inflammatory and antioxidant potential of varenicline, a cigarette smoking cessation aid, on decreasing lipopolysaccharide (LPS)-elevated proinflammatory cytokines in RAW 264.7 murine macrophage cultures which we showed earlier to occur via cholinergic anti-inflammatory pathway (CAP) activation. To this end, we investigated the possible suppressive capacity of varenicline on LPS-regulated cyclooxygenase (COX-1 and COX-2) via α7 nicotinic acetylcholine receptor (α7nAChR) activation using the same in vitro model. Materials and Methods: In order to test anti-inflammatory effectiveness of varenicline, the levels of COX isoforms and products (PGE2, 6-keto PGF1α, a stable analog of PGI2, and TXA2) altered after LPS administration were determined by Enzyme Linked Immunosorbent Assay (ELISA). The antioxidant effects of varenicline were assessed by measuring reductions in reactive oxygen species (ROS) using a fluorometric intracellular ROS assay kit. We further investigated the contribution of nAChR subtypes by using non-selective and/or selective α7nAChR antagonists. The results were compared with that of conventional anti-inflammatory medications, such as ibuprofen, celecoxib and dexamethasone. Results: Varenicline significantly reduced LPS-induced COX-1, COX-2 and prostaglandin levels and ROS to an extent similar to that observed with anti-inflammatory agents used. Discussion: Significant downregulation in LPS-induced COX isoforms and associated decreases in PGE2, 6-keto PGF1α, and TXA2 levels along with reduction in ROS may be partly mediated via varenicline-activated α7nAChRs.
Collapse
Affiliation(s)
- Elif Baris
- Department of Medical Pharmacology, Faculty of Medicine, Izmir University of Economics, Izmir, Türkiye
| | - Mualla Aylin Arici
- Department of Medical Pharmacology, Faculty of Medicine, Dokuz Eylul University, İzmir, Türkiye
| | - Metiner Tosun
- Department of Medical Pharmacology, Faculty of Medicine, Izmir University of Economics, Izmir, Türkiye
| |
Collapse
|
5
|
Kleinman RA, Selby P. Une couverture publique illimitée des pharmacothérapies antitabagiques est nécessaire. CMAJ 2024; 196:E429-E431. [PMID: 38565238 PMCID: PMC10984701 DOI: 10.1503/cmaj.231333-f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
Affiliation(s)
- Robert A Kleinman
- Centre de toxicomanie et de santé mentale (Kleinman, Selby); Départements de psychiatrie (Kleinman) et de médecine familiale et communautaire (Selby), Université de Toronto, Toronto, Ont.
| | - Peter Selby
- Centre de toxicomanie et de santé mentale (Kleinman, Selby); Départements de psychiatrie (Kleinman) et de médecine familiale et communautaire (Selby), Université de Toronto, Toronto, Ont
| |
Collapse
|
6
|
Mundt MP, Stein JH, Fiore MC, Baker TB. Economic Evaluation of Enhanced vs Standard Varenicline Treatment for Tobacco Cessation. JAMA Netw Open 2024; 7:e248727. [PMID: 38683609 PMCID: PMC11059041 DOI: 10.1001/jamanetworkopen.2024.8727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 02/28/2024] [Indexed: 05/01/2024] Open
Abstract
Importance Smoking is the leading preventable cause of death and illness in the US. Identifying cost-effective smoking cessation treatment may increase the likelihood that health systems deliver such treatment to their patients who smoke. Objective To evaluate the cost-effectiveness of standard vs enhanced varenicline use (extended varenicline treatment or varenicline in combination with nicotine replacement therapy) among individuals trying to quit smoking. Design, Setting, and Participants This economic evaluation assesses the Quitting Using Intensive Treatments Study (QUITS), which randomized 1251 study participants who smoked into 4 conditions: (1) 12-week varenicline monotherapy (n = 315); (2) 24-week varenicline monotherapy (n = 311); (3) 12-week varenicline combination treatment with nicotine replacement therapy patch (n = 314); or (4) 24-week varenicline combination treatment with nicotine replacement therapy patch (n = 311). Study enrollment occurred in Madison and Milwaukee, Wisconsin, between November 11, 2017, and July 2, 2020. Statistical analysis took place from May to October 2023. Main Outcomes and Measures The primary outcome was 7-day point prevalence abstinence (biochemically confirmed with exhaled carbon monoxide level ≤5 ppm) at 52 weeks. The incremental cost-effectiveness ratio (ICER), or cost per additional person who quit smoking, was calculated using decision tree analysis based on abstinence and cost for each arm of the trial. Results Of the 1251 participants, mean (SD) age was 49.1 (11.9) years, 675 (54.0%) were women, and 881 (70.4%) completed the 52-week follow-up. Tobacco cessation at 52 weeks was 25.1% (79 of 315) for 12-week monotherapy, 24.4% (76 of 311) for 24-week monotherapy, 23.6% (74 of 314) for 12-week combination therapy, and 25.1% (78 of 311) for 24-week combination therapy, respectively. The total mean (SD) cost was $1175 ($365) for 12-week monotherapy, $1374 ($412) for 12-week combination therapy, $2022 ($813) for 24-week monotherapy, and $2118 ($1058) for 24-week combination therapy. The ICER for 12-week varenicline monotherapy was $4681 per individual who quit smoking and $4579 per quality-adjusted life-year (QALY) added. The ICER for 24-week varenicline combination therapy relative to 12-week monotherapy was $92 000 000 per additional individual who quit smoking and $90 000 000 (95% CI, $15 703 to dominated or more costly and less efficacious) per additional QALY. Conclusions and Relevance This economic evaluation of standard vs enhanced varenicline treatment for smoking cessation suggests that 12-week varenicline monotherapy was the most cost-effective treatment option at the commonly cited threshold of $100 000/QALY. This study provides patients, health care professionals, and other stakeholders with increased understanding of the health and economic impact of more intensive varenicline treatment options.
Collapse
Affiliation(s)
- Marlon P. Mundt
- Department of Family Medicine and Community Health, University of Wisconsin School of Medicine and Public Health, Madison
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison
- Center for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison
| | - James H. Stein
- Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison
| | - Michael C. Fiore
- Center for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison
- Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison
| | - Timothy B. Baker
- Center for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, Madison
- Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison
| |
Collapse
|
7
|
Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 124] [Impact Index Per Article: 124.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
Collapse
|
8
|
Kleinman RA, Selby P. Unrestricted public coverage is needed for smoking cessation pharmacotherapies. CMAJ 2024; 196:E53-E55. [PMID: 38253368 PMCID: PMC10805147 DOI: 10.1503/cmaj.231333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2024] Open
Affiliation(s)
- Robert A Kleinman
- Centre for Addiction and Mental Health (Kleinman, Selby); Department of Psychiatry (Kleinman), and of Family and Community Medicine (Selby), University of Toronto, Toronto, Ont.
| | - Peter Selby
- Centre for Addiction and Mental Health (Kleinman, Selby); Department of Psychiatry (Kleinman), and of Family and Community Medicine (Selby), University of Toronto, Toronto, Ont
| |
Collapse
|
9
|
Sifat M, Hébert ET, Ahluwalia JS, Businelle MS, Waring JJC, Frank-Pearce SG, Bryer C, Benson L, Madison S, Planas LG, Baranskaya I, Kendzor DE. Varenicline Combined With Oral Nicotine Replacement Therapy and Smartphone-Based Medication Reminders for Smoking Cessation: Feasibility Randomized Controlled Trial. JMIR Form Res 2023; 7:e48857. [PMID: 37889541 PMCID: PMC10638635 DOI: 10.2196/48857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 07/18/2023] [Accepted: 08/08/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND Varenicline and oral nicotine replacement therapy (NRT) have each been shown to increase the likelihood of smoking cessation, but their combination has not been studied. In addition, smoking cessation medication adherence is often poor, thus, challenging the ability to evaluate medication efficacy. OBJECTIVE This study examined the effects of combined varenicline and oral NRT and smartphone medication reminders on pharmacotherapy adherence and smoking abstinence among adults enrolled in smoking cessation treatment. METHODS A 2×2 factorial design was used. Participants (N=34) were randomized to (1) varenicline + oral NRT (VAR+NRT) or varenicline alone (VAR) and (2) smartphone medication reminder messages (REM) or no reminder messages (NREM) over 13 weeks. Participants assigned to VAR+REM received varenicline reminder prompts, and those assigned to VAR+NRT+REM also received reminders to use oral NRT. The other 2 groups (VAR+NREM and VAR+NRT+NREM) did not receive medication reminders. Participants were not blinded to intervention groups. All participants received tobacco cessation counseling. Smartphone assessments of smoking as well as varenicline and NRT use (if applicable) were prompted daily through the first 12 weeks after a scheduled quit date. Descriptive statistics were generated to characterize the relations between medication and reminder group assignments with daily smoking, daily varenicline adherence, and daily quantity of oral NRT used. Participants completed follow-up assessments for 26 weeks after the quit date. RESULTS Participants were predominantly White (71%), and half were female (50%). On average, participants were 54.2 (SD 9.4) years of age, they smoked an average of 19.0 (SD 9.0) cigarettes per day and had smoked for 34.6 (SD 12.7) years. Descriptively, participants assigned to VAR+NRT reported more days of smoking abstinence compared to VAR (29.3 vs 26.3 days). Participants assigned to REM reported more days of smoking abstinence than those assigned to NREM (40.5 vs 21.8 days). Participants assigned to REM were adherent to varenicline on more days compared to those assigned to NREM (58.6 vs 40.5 days), and participants assigned to VAR were adherent to varenicline on more days than those assigned to VAR + NRT (50.7 vs 43.3 days). In the subsample of participants assigned to VAR+NRT, participants assigned to REM reported more days where ≥5 pieces of NRT were used than NREM (14.0 vs 7.4 days). Average overall medication adherence (assessed via the Medication Adherence Questionnaire) showed the same pattern as the daily smartphone-based adherence assessments. CONCLUSIONS Preliminary findings indicated that smoking cessation interventions may benefit from incorporating medication reminders and combining varenicline with oral NRT, though combining medications may be associated with poorer adherence. Further study is warranted. TRIAL REGISTRATION ClinicalTrials.gov NCT03722966; https://classic.clinicaltrials.gov/ct2/show/NCT03722966.
Collapse
Affiliation(s)
- Munjireen Sifat
- Tobacco Settlement Endowment Trust Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, United States
| | - Emily T Hébert
- School of Public Health, The University of Texas Health Science Center, Austin, TX, United States
| | - Jasjit S Ahluwalia
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, United States
| | - Michael S Businelle
- Tobacco Settlement Endowment Trust Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Joseph J C Waring
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Summer G Frank-Pearce
- Tobacco Settlement Endowment Trust Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Chase Bryer
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, United States
| | - Lizbeth Benson
- Tobacco Settlement Endowment Trust Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Stefani Madison
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Lourdes G Planas
- Department of Pharmacy: Clinical and Administrative Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Irina Baranskaya
- Department of Psychiatry and Behavioral Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Darla E Kendzor
- Tobacco Settlement Endowment Trust Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| |
Collapse
|
10
|
Liu Z, Qin R, Hu XJ, Liu LJ, Xu SQ, Shi GC, Zhou H, Bai J, Zhang CM, Qi Y, Zhou W, Lan SH, Tong J, Su TS, Wang Q, Yang XY, Sun DJ, Zhu LM, Chen XY, Chen H, Xie YP, Xiao ZH, Chen YB, Zhao B, Wu QG, Chen WL, Li DY, Liu H, Cheng AQ, Cui ZY, Zhao L, Li JX, Wei XW, Zhou XM, Su Z, Chung KF, Chen ZM, Xiao D, Wang C. Real-world tobacco cessation practice in China: findings from the prospective, nationwide multicenter China National Tobacco Cessation Cohort Study (CNTCCS). THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 39:100826. [PMID: 37927997 PMCID: PMC10624982 DOI: 10.1016/j.lanwpc.2023.100826] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/26/2023] [Accepted: 05/31/2023] [Indexed: 11/07/2023]
Abstract
Background Tobacco cessation is proven to be the most effective and cost-effective strategy for smokers to reduce their risk of smoking-related disease and premature death. Providing effective, efficient, safe, and patient-centred tobacco cessation treatment to reach those who need them is a significant challenge. To date, only a few nationwide studies in China have assessed the overall clinical care practice and treatment outcome of tobacco cessation. Methods This a prospective, nationwide, multicenter, cohort study covering all Eastern China, Northwest China, Central China, North China, Southwest China, Northeast China, and South China. Participants who were current smokers aged 18-85 years attending clinic for smoking cessation were included. All the participants were treated with 3-month cessation treatment and followed up for 3 months. Data were collected prospectively using online system. The primary outcome was 7-day point abstinence rate at 24 weeks, validated biochemically by an expired carbon monoxide level of less than 10 ppm. The participants lost to follow-up or not providing validation were included as non-abstainers. Findings A representative sample of 3557 participants were recruited and 2943 participants were included into this analysis. These participants had mean age of 53.05 years, and 94.8% were males, with 75.8% showing symptoms of tobacco dependence. A total of 965 (32.8%) participants were treated with Bupropion + behavioural counselling, followed by 935 (31.8%) with behavioural counselling, 778 (26.4%) with Varenicline + behavioural counselling, 135 (4.6%) with alternative treatments + behavioural counselling, and 130 (4.4%) with nicotine replacement therapy (NRT) + behavioural counselling. After 3-month treatment and 3-month follow-up, 21.74% of the participants quit smoking at 24 weeks. In the multivariable-adjusted analyses, quitting smoking was significantly associated with female, higher socioeconomic status, poor health condition, different treatment received, and less smoking intensity. The tobacco cessation treatment varied widely across different areas of China. In particular, the areas with higher usage of cessation medication were associated with better cessation treatment outcome. Interpretation The CNTCCS is the first large-scale nationwide cohort study of smoking cessation in China. Rich data collected from this prospective cohort study provided the opportunity to evaluate the clinical practice of tobacco cessation treatment in China. Funding Chinese Academy of Medical Sciences (CAMS) Initiative for Innovative Medicine (CAMS 2021-I2M-1-010), Heilongjiang Provincial Science and Technology Key Program (2022ZXJ03C02), and National Key R&D Program of China (grant no. 2017YFC1309400).
Collapse
Affiliation(s)
- Zhao Liu
- Department of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- China National Center for Respiratory Medicine, Beijing, China
- China National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rui Qin
- Department of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- China National Center for Respiratory Medicine, Beijing, China
- China National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Xue-Jun Hu
- Department of Respiratory and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Li-Jun Liu
- Department of Respiratory and Critical Care Medicine, Baiyin First People's Hospital of Gansu Province, Baiyin, Gansu Province, China
| | - Su-Qin Xu
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Guo-Chao Shi
- Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Zhou
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Jing Bai
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, China
| | - Chun-Mei Zhang
- Department of Respiratory and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Yong Qi
- Department of Pulmonary and Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou, Henan Province, China
| | - Wei Zhou
- Department of Pulmonary and Critical Care Medicine, Beijing Hospital, Beijing, China
| | - Shu-Hua Lan
- Department of Pulmonary and Critical Care Medicine, Nanping People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Nanping, Fujian Province, China
| | - Jin Tong
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Tong-Sheng Su
- 3rd Department of Acupuncture and Moxibustion, Shaanxi Hospital of Traditional Chinese Medicine, Xi'an, Shaanxi Province, China
| | - Qiang Wang
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China
| | - Xin-Yan Yang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - De-Jun Sun
- Department of Respiratory and Critical Care Medicine, The People's Hospital of Inner Mongolia Autonomous Region, Hohhot, Inner Mongolia Autonomous Region, China
| | - Li-Ming Zhu
- Department of Respiratory and Critical Care Medicine, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan Province, China
| | - Xiao-Yang Chen
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Hong Chen
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yu-Peng Xie
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Zhi-Hua Xiao
- Department of Respiratory and Critical Care Medicine, The Third People's Hospital of Datong City, Datong, Shanxi Province, China
| | - Yan-Bin Chen
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
| | - Bo Zhao
- Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Qiu-Ge Wu
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Wen-Li Chen
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, China
| | - Dong-Yan Li
- Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China
| | - Hongbo Liu
- Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - An-Qi Cheng
- Department of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- China National Center for Respiratory Medicine, Beijing, China
- China National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zi-Yang Cui
- Department of Geriatric Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Liang Zhao
- Department of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- China National Center for Respiratory Medicine, Beijing, China
- China National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jin-Xuan Li
- Department of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- China National Center for Respiratory Medicine, Beijing, China
- China National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Capital Medical University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Xiao-Wen Wei
- Department of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- China National Center for Respiratory Medicine, Beijing, China
- China National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Capital Medical University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Xin-Mei Zhou
- Department of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- China National Center for Respiratory Medicine, Beijing, China
- China National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zheng Su
- Department of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- China National Center for Respiratory Medicine, Beijing, China
- China National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kian Fan Chung
- National Heart and Lung Institute, Imperial College London and Royal Brompton and Harefield NHS Trust, London, UK
| | - Zheng-Ming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Dan Xiao
- Department of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- China National Center for Respiratory Medicine, Beijing, China
- China National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
- Capital Medical University China-Japan Friendship School of Clinical Medicine, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Chen Wang
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- China National Center for Respiratory Medicine, Beijing, China
- China National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| |
Collapse
|
11
|
Abstract
Background Nicotine receptor partial agonists may help people to stop smoking by a combination of maintaining moderate levels of dopamine to counteract withdrawal symptoms (acting as an agonist) and reducing smoking satisfaction (acting as an antagonist). This is an update of a Cochrane Review first published in 2007. Objectives To assess the effectiveness of nicotine receptor partial agonists, including varenicline and cytisine, for smoking cessation. Search methods We searched the Cochrane Tobacco Addiction Group's Specialised Register in April 2022 for trials, using relevant terms in the title or abstract, or as keywords. The register is compiled from searches of CENTRAL, MEDLINE, Embase, and PsycINFO. Selection criteria We included randomised controlled trials that compared the treatment drug with placebo, another smoking cessation drug, e‐cigarettes, or no medication. We excluded trials that did not report a minimum follow‐up period of six months from baseline. Data collection and analysis We followed standard Cochrane methods. Our main outcome was abstinence from smoking at longest follow‐up using the most rigorous definition of abstinence, preferring biochemically validated rates where reported. We pooled risk ratios (RRs), using the Mantel‐Haenszel fixed‐effect model. We also reported the number of people reporting serious adverse events (SAEs). Main results We included 75 trials of 45,049 people; 45 were new for this update. We rated 22 at low risk of bias, 18 at high risk, and 35 at unclear risk. We found moderate‐certainty evidence (limited by heterogeneity) that cytisine helps more people to quit smoking than placebo (RR 1.30, 95% confidence interval (CI) 1.15 to 1.47; I2 = 83%; 4 studies, 4623 participants), and no evidence of a difference in the number reporting SAEs (RR 1.04, 95% CI 0.78 to 1.37; I2 = 0%; 3 studies, 3781 participants; low‐certainty evidence). SAE evidence was limited by imprecision. We found no data on neuropsychiatric or cardiac SAEs. We found high‐certainty evidence that varenicline helps more people to quit than placebo (RR 2.32, 95% CI 2.15 to 2.51; I2 = 60%, 41 studies, 17,395 participants), and moderate‐certainty evidence that people taking varenicline are more likely to report SAEs than those not taking it (RR 1.23, 95% CI 1.01 to 1.48; I2 = 0%; 26 studies, 14,356 participants). While point estimates suggested increased risk of cardiac SAEs (RR 1.20, 95% CI 0.79 to 1.84; I2 = 0%; 18 studies, 7151 participants; low‐certainty evidence), and decreased risk of neuropsychiatric SAEs (RR 0.89, 95% CI 0.61 to 1.29; I2 = 0%; 22 studies, 7846 participants; low‐certainty evidence), in both cases evidence was limited by imprecision, and confidence intervals were compatible with both benefit and harm. Pooled results from studies that randomised people to receive cytisine or varenicline found no clear evidence of difference in quit rates (RR 1.00, 95% CI 0.79 to 1.26; I2 = 65%; 2 studies, 2131 participants; low‐certainty evidence) and reported SAEs (RR 0.67, 95% CI 0.44 to 1.03; I2 = 45%; 2 studies, 2017 participants; low‐certainty evidence). However, the evidence was limited by imprecision, and confidence intervals incorporated the potential for benefit from either cytisine or varenicline. We found no data on neuropsychiatric or cardiac SAEs. We found high‐certainty evidence that varenicline helps more people to quit than bupropion (RR 1.36, 95% CI 1.25 to 1.49; I2 = 0%; 9 studies, 7560 participants), and no clear evidence of difference in rates of SAEs (RR 0.89, 95% CI 0.61 to 1.31; I2 = 0%; 5 studies, 5317 participants), neuropsychiatric SAEs (RR 1.05, 95% CI 0.16 to 7.04; I2 = 10%; 2 studies, 866 participants), or cardiac SAEs (RR 3.17, 95% CI 0.33 to 30.18; I2 = 0%; 2 studies, 866 participants). Evidence of harms was of low certainty, limited by imprecision. We found high‐certainty evidence that varenicline helps more people to quit than a single form of nicotine replacement therapy (NRT) (RR 1.25, 95% CI 1.14 to 1.37; I2 = 28%; 11 studies, 7572 participants), and low‐certainty evidence, limited by imprecision, of fewer reported SAEs (RR 0.70, 95% CI 0.50 to 0.99; I2 = 24%; 6 studies, 6535 participants). We found no data on neuropsychiatric or cardiac SAEs. We found no clear evidence of a difference in quit rates between varenicline and dual‐form NRT (RR 1.02, 95% CI 0.87 to 1.20; I2 = 0%; 5 studies, 2344 participants; low‐certainty evidence, downgraded because of imprecision). While pooled point estimates suggested increased risk of SAEs (RR 2.15, 95% CI 0.49 to 9.46; I2 = 0%; 4 studies, 1852 participants) and neuropsychiatric SAEs (RR 4.69, 95% CI 0.23 to 96.50; I2 not estimable as events only in 1 study; 2 studies, 764 participants), and reduced risk of cardiac SAEs (RR 0.32, 95% CI 0.01 to 7.88; I2 not estimable as events only in 1 study; 2 studies, 819 participants), in all three cases evidence was of low certainty and confidence intervals were very wide, encompassing both substantial harm and benefit. Authors' conclusions Cytisine and varenicline both help more people to quit smoking than placebo or no medication. Varenicline is more effective at helping people to quit smoking than bupropion, or a single form of NRT, and may be as or more effective than dual‐form NRT. People taking varenicline are probably more likely to experience SAEs than those not taking it, and while there may be increased risk of cardiac SAEs and decreased risk of neuropsychiatric SAEs, evidence was compatible with both benefit and harm. Cytisine may lead to fewer people reporting SAEs than varenicline. Based on studies that directly compared cytisine and varenicline, there may be no difference or a benefit from either medication for quitting smoking. Future trials should test the effectiveness and safety of cytisine compared with varenicline and other pharmacotherapies, and should also test variations in dose and duration. There is limited benefit to be gained from more trials testing the effect of standard‐dose varenicline compared with placebo for smoking cessation. Further trials on varenicline should test variations in dose and duration, and compare varenicline with e‐cigarettes for smoking cessation. Can medications like varenicline and cytisine (nicotine receptor partial agonists) help people to stop smoking and do they cause unwanted effects? Key messages · Varenicline can help people to stop smoking for at least 6 months. Evidence shows it works better than bupropion and using only one type of nicotine replacement therapy (e.g. only patches). Quit rates might be similar to using more than one type of nicotine replacement therapy at the same time (e.g. patches and gum together). · Cytisine can help people to stop smoking for at least 6 months. It may work as well as varenicline, but future evidence may show that while it helps, it is not quite as helpful as varenicline. · Future studies should test the effectiveness and safety of cytisine compared with varenicline and other stop‐smoking medications, and should also investigate giving cytisine or varenicline at different doses and for different lengths of time. What are 'nicotine receptor partial agonists'? Smoking tobacco is extremely bad for people’s health. For people who smoke, quitting is the best thing they can do to improve their health. Many people find it difficult to quit smoking. Nicotine receptor partial agonists (NRPAs) are a type of medication used to help people to stop smoking. They help to reduce the withdrawal symptoms people experience when they stop smoking, like cravings and unpleasant mood changes. They also reduce the pleasure people usually experience when they smoke. The most widely‐available treatment in this drug type is varenicline. Cytisine is another, similar medication. They may cause unwanted effects such as feeling sick (nausea) and other stomach problems, difficulties sleeping, abnormal dreams, and headache. They may also lead to potentially serious unwanted effects, such as suicidal thoughts, heart problems and raised blood pressure. What did we want to find out? We wanted to find out if using NRPAs can help people to quit smoking, and if they cause unwanted effects. We wanted to know: · how many people stopped smoking for at least 6 months; and · how many people had unwanted effects. What did we do? We searched for studies that investigated NRPAs used to help people quit smoking. People in the studies had to be chosen at random to receive an NRPA, or another NRPA, placebo (medication like the NRPA but with no active ingredients) or no treatment. They had to be adult tobacco smokers who wanted to stop smoking. What did we find? We found 75 studies that compared NRPAs with: · placebo or no medicine; · nicotine replacement therapy, such as patches or gum; · bupropion (another medicine to help people stop smoking); · another NRPA; · e‐cigarettes. The USA hosted the most studies (28 studies). Other studies took place in a range of countries across the world, some in several countries. Main results People are more likely to stop smoking for at least six months using varenicline than using placebo (41 studies, 17,395 people), bupropion (9 studies, 7560 people), or just one type of nicotine replacement therapy, like patches alone (11 studies, 7572 people). They may be just as likely to quit as people using two or more kinds of nicotine replacement therapy, like patches and gum together (5 studies, 2344 people). Cytisine probably helps more people to stop smoking than placebo (4 studies, 4623 people) and may be just as effective as varenicline (2 studies, 2131 people). For every 100 people using varenicline to stop smoking, 21 to 25 might successfully stop, compared with only 18 of 100 people using bupropion, 18 of 100 people using a single form of nicotine‐replacement therapy, and 20 of 100 using two or more kinds of nicotine‐replacement therapy. For every 100 people using cytisine to stop smoking, 18 to 23 might successfully stop. The most common unwanted effect of varenicline is nausea, but this is mostly at mild or moderate levels and usually clears over time. People taking varenicline likely have an increased chance of a more serious unwanted effect that could result in going to hospital, however these are still rare (2.7% to 4% of people on varenicline, compared with 2.7% of people without) and may include many that are unrelated to varenicline. People taking cytisine may also have a slightly increased chance of serious unwanted effects compared with people not taking it, but this may be less likely compared with varenicline. What are the limitations of the evidence? The evidence for some of our results is very reliable. We’re very confident that varenicline helps people to quit smoking better than many alternatives. We’re less sure of some other results because fewer or smaller studies provided evidence. Several results suggest one treatment is better or less harmful than another, but the opposite could still be true. How up to date is the evidence? The evidence is up to date to 29 April 2022.
Collapse
|
12
|
Theodoulou A, Chepkin SC, Ye W, Fanshawe TR, Bullen C, Hartmann-Boyce J, Livingstone-Banks J, Hajizadeh A, Lindson N. Different doses, durations and modes of delivery of nicotine replacement therapy for smoking cessation. Cochrane Database Syst Rev 2023; 6:CD013308. [PMID: 37335995 PMCID: PMC10278922 DOI: 10.1002/14651858.cd013308.pub2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
BACKGROUND Nicotine replacement therapy (NRT) aims to replace nicotine from cigarettes. This helps to reduce cravings and withdrawal symptoms, and ease the transition from cigarette smoking to complete abstinence. Although there is high-certainty evidence that NRT is effective for achieving long-term smoking abstinence, it is unclear whether different forms, doses, durations of treatment or timing of use impacts its effects. OBJECTIVES To determine the effectiveness and safety of different forms, deliveries, doses, durations and schedules of NRT, for achieving long-term smoking cessation. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group trials register for papers mentioning NRT in the title, abstract or keywords, most recently in April 2022. SELECTION CRITERIA We included randomised trials in people motivated to quit, comparing one type of NRT use with another. We excluded studies that did not assess cessation as an outcome, with follow-up of fewer than six months, and with additional intervention components not matched between arms. Separate reviews cover studies comparing NRT to control, or to other pharmacotherapies. DATA COLLECTION AND ANALYSIS We followed standard Cochrane methods. We measured smoking abstinence after at least six months, using the most rigorous definition available. We extracted data on cardiac adverse events (AEs), serious adverse events (SAEs) and study withdrawals due to treatment. MAIN RESULTS: We identified 68 completed studies with 43,327 participants, five of which are new to this update. Most completed studies recruited adults either from the community or from healthcare clinics. We judged 28 of the 68 studies to be at high risk of bias. Restricting the analysis only to those studies at low or unclear risk of bias did not significantly alter results for any comparisons apart from the preloading comparison, which tested the effect of using NRT prior to quit day whilst still smoking. There is high-certainty evidence that combination NRT (fast-acting form plus patch) results in higher long-term quit rates than single form (risk ratio (RR) 1.27, 95% confidence interval (CI) 1.17 to 1.37; I2 = 12%; 16 studies, 12,169 participants). Moderate-certainty evidence, limited by imprecision, indicates that 42/44 mg patches are as effective as 21/22 mg (24-hour) patches (RR 1.09, 95% CI 0.93 to 1.29; I2 = 38%; 5 studies, 1655 participants), and that 21 mg patches are more effective than 14 mg (24-hour) patches (RR 1.48, 95% CI 1.06 to 2.08; 1 study, 537 participants). Moderate-certainty evidence, again limited by imprecision, also suggests a benefit of 25 mg over 15 mg (16-hour) patches, but the lower limit of the CI encompassed no difference (RR 1.19, 95% CI 1.00 to 1.41; I2 = 0%; 3 studies, 3446 participants). Nine studies tested the effect of using NRT prior to quit day (preloading) in comparison to using it from quit day onward. There was moderate-certainty evidence, limited by risk of bias, of a favourable effect of preloading on abstinence (RR 1.25, 95% CI 1.08 to 1.44; I2 = 0%; 9 studies, 4395 participants). High-certainty evidence from eight studies suggests that using either a form of fast-acting NRT or a nicotine patch results in similar long-term quit rates (RR 0.90, 95% CI 0.77 to 1.05; I2 = 0%; 8 studies, 3319 participants). We found no clear evidence of an effect of duration of nicotine patch use (low-certainty evidence); duration of combination NRT use (low- and very low-certainty evidence); or fast-acting NRT type (very low-certainty evidence). Cardiac AEs, SAEs and withdrawals due to treatment were all measured variably and infrequently across studies, resulting in low- or very low-certainty evidence for all comparisons. Most comparisons found no clear evidence of an effect on these outcomes, and rates were low overall. More withdrawals due to treatment were reported in people using nasal spray compared to patches in one study (RR 3.47, 95% CI 1.15 to 10.46; 1 study, 922 participants; very low-certainty evidence) and in people using 42/44 mg patches in comparison to 21/22 mg patches across two studies (RR 4.99, 95% CI 1.60 to 15.50; I2 = 0%; 2 studies, 544 participants; low-certainty evidence). AUTHORS' CONCLUSIONS There is high-certainty evidence that using combination NRT versus single-form NRT and 4 mg versus 2 mg nicotine gum can result in an increase in the chances of successfully stopping smoking. Due to imprecision, evidence was of moderate certainty for patch dose comparisons. There is some indication that the lower-dose nicotine patches and gum may be less effective than higher-dose products. Using a fast-acting form of NRT, such as gum or lozenge, resulted in similar quit rates to nicotine patches. There is moderate-certainty evidence that using NRT before quitting may improve quit rates versus using it from quit date only; however, further research is needed to ensure the robustness of this finding. Evidence for the comparative safety and tolerability of different types of NRT use is limited. New studies should ensure that AEs, SAEs and withdrawals due to treatment are reported.
Collapse
Affiliation(s)
- Annika Theodoulou
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Samantha C Chepkin
- NHS Hertfordshire and West Essex Integrated Care Board, Welwyn Garden City, UK
| | - Weiyu Ye
- Oxford University Clinical Academic Graduate School, University of Oxford, Oxford, UK
| | - Thomas R Fanshawe
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Chris Bullen
- National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
| | - Jamie Hartmann-Boyce
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | | | - Anisa Hajizadeh
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Nicola Lindson
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| |
Collapse
|
13
|
Livingstone-Banks J, Fanshawe TR, Thomas KH, Theodoulou A, Hajizadeh A, Hartman L, Lindson N. Nicotine receptor partial agonists for smoking cessation. Cochrane Database Syst Rev 2023; 5:CD006103. [PMID: 37142273 PMCID: PMC10169257 DOI: 10.1002/14651858.cd006103.pub8] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
BACKGROUND Nicotine receptor partial agonists may help people to stop smoking by a combination of maintaining moderate levels of dopamine to counteract withdrawal symptoms (acting as an agonist) and reducing smoking satisfaction (acting as an antagonist). This is an update of a Cochrane Review first published in 2007. OBJECTIVES To assess the effectiveness of nicotine receptor partial agonists, including varenicline and cytisine, for smoking cessation. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group's Specialised Register in April 2022 for trials, using relevant terms in the title or abstract, or as keywords. The register is compiled from searches of CENTRAL, MEDLINE, Embase, and PsycINFO. SELECTION CRITERIA: We included randomised controlled trials that compared the treatment drug with placebo, another smoking cessation drug, e-cigarettes, or no medication. We excluded trials that did not report a minimum follow-up period of six months from baseline. DATA COLLECTION AND ANALYSIS We followed standard Cochrane methods. Our main outcome was abstinence from smoking at longest follow-up using the most rigorous definition of abstinence, preferring biochemically validated rates where reported. We pooled risk ratios (RRs), using the Mantel-Haenszel fixed-effect model. We also reported the number of people reporting serious adverse events (SAEs). MAIN RESULTS We included 75 trials of 45,049 people; 45 were new for this update. We rated 22 at low risk of bias, 18 at high risk, and 35 at unclear risk. We found moderate-certainty evidence (limited by heterogeneity) that cytisine helps more people to quit smoking than placebo (RR 1.30, 95% confidence interval (CI) 1.15 to 1.47; I2 = 83%; 4 studies, 4623 participants), and no evidence of a difference in the number reporting SAEs (RR 1.04, 95% CI 0.78 to 1.37; I2 = 0%; 3 studies, 3781 participants; low-certainty evidence). SAE evidence was limited by imprecision. We found no data on neuropsychiatric or cardiac SAEs. We found high-certainty evidence that varenicline helps more people to quit than placebo (RR 2.32, 95% CI 2.15 to 2.51; I2 = 60%, 41 studies, 17,395 participants), and moderate-certainty evidence that people taking varenicline are more likely to report SAEs than those not taking it (RR 1.23, 95% CI 1.01 to 1.48; I2 = 0%; 26 studies, 14,356 participants). While point estimates suggested increased risk of cardiac SAEs (RR 1.20, 95% CI 0.79 to 1.84; I2 = 0%; 18 studies, 7151 participants; low-certainty evidence), and decreased risk of neuropsychiatric SAEs (RR 0.89, 95% CI 0.61 to 1.29; I2 = 0%; 22 studies, 7846 participants; low-certainty evidence), in both cases evidence was limited by imprecision, and confidence intervals were compatible with both benefit and harm. Pooled results from studies that randomised people to receive cytisine or varenicline showed that more people in the varenicline arm quit smoking (RR 0.83, 95% CI 0.66 to 1.05; I2 = 0%; 2 studies, 2131 participants; moderate-certainty evidence) and reported SAEs (RR 0.67, 95% CI 0.44 to 1.03; I2 = 45%; 2 studies, 2017 participants; low-certainty evidence). However, the evidence was limited by imprecision, and confidence intervals incorporated the potential for benefit from either cytisine or varenicline. We found no data on neuropsychiatric or cardiac SAEs. We found high-certainty evidence that varenicline helps more people to quit than bupropion (RR 1.36, 95% CI 1.25 to 1.49; I2 = 0%; 9 studies, 7560 participants), and no clear evidence of difference in rates of SAEs (RR 0.89, 95% CI 0.61 to 1.31; I2 = 0%; 5 studies, 5317 participants), neuropsychiatric SAEs (RR 1.05, 95% CI 0.16 to 7.04; I2 = 10%; 2 studies, 866 participants), or cardiac SAEs (RR 3.17, 95% CI 0.33 to 30.18; I2 = 0%; 2 studies, 866 participants). Evidence of harms was of low certainty, limited by imprecision. We found high-certainty evidence that varenicline helps more people to quit than a single form of nicotine replacement therapy (NRT) (RR 1.25, 95% CI 1.14 to 1.37; I2 = 28%; 11 studies, 7572 participants), and low-certainty evidence, limited by imprecision, of fewer reported SAEs (RR 0.70, 95% CI 0.50 to 0.99; I2 = 24%; 6 studies, 6535 participants). We found no data on neuropsychiatric or cardiac SAEs. We found no clear evidence of a difference in quit rates between varenicline and dual-form NRT (RR 1.02, 95% CI 0.87 to 1.20; I2 = 0%; 5 studies, 2344 participants; low-certainty evidence, downgraded because of imprecision). While pooled point estimates suggested increased risk of SAEs (RR 2.15, 95% CI 0.49 to 9.46; I2 = 0%; 4 studies, 1852 participants) and neuropsychiatric SAEs (RR 4.69, 95% CI 0.23 to 96.50; I2 not estimable as events only in 1 study; 2 studies, 764 participants), and reduced risk of cardiac SAEs (RR 0.32, 95% CI 0.01 to 7.88; I2 not estimable as events only in 1 study; 2 studies, 819 participants), in all three cases evidence was of low certainty and confidence intervals were very wide, encompassing both substantial harm and benefit. AUTHORS' CONCLUSIONS Cytisine and varenicline both help more people to quit smoking than placebo or no medication. Varenicline is more effective at helping people to quit smoking than bupropion, or a single form of NRT, and may be as or more effective than dual-form NRT. People taking varenicline are probably more likely to experience SAEs than those not taking it, and while there may be increased risk of cardiac SAEs and decreased risk of neuropsychiatric SAEs, evidence was compatible with both benefit and harm. Cytisine may lead to fewer people reporting SAEs than varenicline. Based on studies that directly compared cytisine and varenicline, there may be a benefit from varenicline for quitting smoking, however further evidence could strengthen this finding or demonstrate a benefit from cytisine. Future trials should test the effectiveness and safety of cytisine compared with varenicline and other pharmacotherapies, and should also test variations in dose and duration. There is limited benefit to be gained from more trials testing the effect of standard-dose varenicline compared with placebo for smoking cessation. Further trials on varenicline should test variations in dose and duration, and compare varenicline with e-cigarettes for smoking cessation.
Collapse
Affiliation(s)
| | - Thomas R Fanshawe
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Kyla H Thomas
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Annika Theodoulou
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Anisa Hajizadeh
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Lilian Hartman
- University of Oxford Medical School, John Radcliffe Hospital, Oxford, UK
| | - Nicola Lindson
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| |
Collapse
|
14
|
Ghahremani DG, Pochon JBF, Diaz MP, Tyndale RF, Dean AC, London ED. Nicotine dependence and insula subregions: functional connectivity and cue-induced activation. Neuropsychopharmacology 2023; 48:936-945. [PMID: 36869233 PMCID: PMC10156746 DOI: 10.1038/s41386-023-01528-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 12/29/2022] [Accepted: 01/02/2023] [Indexed: 03/05/2023]
Abstract
Nicotine dependence is a major predictor of relapse in people with Tobacco Use Disorder (TUD). Accordingly, therapies that reduce nicotine dependence may promote sustained abstinence from smoking. The insular cortex has been identified as a promising target in brain-based therapies for TUD, and has three major sub-regions (ventral anterior, dorsal anterior, and posterior) that serve distinct functional networks. How these subregions and associated networks contribute to nicotine dependence is not well understood, and therefore was the focus of this study. Sixty individuals (28 women; 18-45 years old), who smoked cigarettes daily, rated their level of nicotine dependence (on the Fagerström Test for Nicotine Dependence) and, after abstaining from smoking overnight (~12 h), underwent functional magnetic resonance imaging (fMRI) in a resting state. A subset of these participants (N = 48) also completing a cue-induced craving task during fMRI. Correlations between nicotine dependence and resting-state functional connectivity (RSFC) and cue-induced activation of the major insular sub-regions were evaluated. Nicotine dependence was negatively correlated with connectivity of the left and right dorsal, and left ventral anterior insula with regions within the superior parietal lobule (SPL), including the left precuneus. No relationship between posterior insula connectivity and nicotine dependence was found. Cue-induced activation in the left dorsal anterior insula was positively associated with nicotine dependence and negatively associated with RSFC of the same region with SPL, suggesting that craving-related responsivity in this subregion was greater among participants who were more dependent. These results may inform therapeutic approaches, such as brain stimulation, which may elicit differential clinical outcomes (e.g., dependence, craving) depending on the insular subnetwork that is targeted.
Collapse
Affiliation(s)
- Dara G Ghahremani
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
| | - Jean-Baptiste F Pochon
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Maylen Perez Diaz
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Rachel F Tyndale
- Department of Pharmacology & Toxicology and Department of Psychiatry, University of Toronto, 1 King's College Circle, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Andy C Dean
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Brain Research Institute, University of California, Los Angeles, CA, USA
| | - Edythe D London
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
- Brain Research Institute, University of California, Los Angeles, CA, USA.
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, USA.
| |
Collapse
|
15
|
Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1337] [Impact Index Per Article: 1337.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
Collapse
|
16
|
Johnson AL, Schlam TR, Baker TB, Piper ME. Understanding what changes adults in a smoking cessation study believe they need to make to quit smoking: A qualitative analysis of pre- and post-quit perceptions. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2022; 36:982-989. [PMID: 35737550 PMCID: PMC9772921 DOI: 10.1037/adb0000856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Most individuals who try to quit smoking will not succeed even if they use evidence-based treatment. Qualitative methods can help identify cessation treatments' limitations and suggest adaptations to increase treatment success. METHOD Rapid qualitative analysis was conducted on data from 125 adults who smoked daily (48% female; 44% White) and participated in a smoking cessation trial and completed qualitative interviews 2 weeks prequit, reporting on changes they needed to make to quit, and 100 adults (50% female; 49% White) who completed a second interview 2 weeks postquit, reporting changes they had made. RESULTS The anticipated changes reported prequit (in order of frequency) were as follows: identify smoking triggers (without a coping plan), focus on benefits of quitting, reduce exposure to others smoking, make other health changes, reduce exposure to nonsocial smoking cues, and reduce alcohol consumption. Many participants were unable to identify specific changes that would aid their cessation success. Changes reported postquit included the following: use the 4 D strategies (delay, drink water, deep breathing, distract), reduce exposure to nonsocial smoking cues, focus on benefits of quitting, change daily routine, make other health changes, reduce exposure to others smoking, and get support from loved ones. Most changes reported postquit were consistent with clinical practice guidelines; however, use of cessation medication was the least reported theme. CONCLUSION Prior to quitting, over a third of participants were unable to identify changes to increase cessation success. Those who could focus on triggers and cues for smoking. Postquit, participants reported using cessation strategies encouraged during study cessation counseling. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Collapse
Affiliation(s)
- Adrienne L. Johnson
- Department of Medicine, University of Wisconsin School of
Medicine and Public Health, 750 Highland Ave, Madison, WI 53705
- University of Wisconsin Center for Tobacco Research and
Intervention, 1930 Monroe St # 200, Madison, WI 53711
| | - Tanya R. Schlam
- University of Wisconsin Center for Tobacco Research and
Intervention, 1930 Monroe St # 200, Madison, WI 53711
- Department of Kinesiology, University of Wisconsin School
of Education, 285 Med Sci, 1300 University Ave, Madison, WI 53706
| | - Timothy B. Baker
- Department of Medicine, University of Wisconsin School of
Medicine and Public Health, 750 Highland Ave, Madison, WI 53705
- University of Wisconsin Center for Tobacco Research and
Intervention, 1930 Monroe St # 200, Madison, WI 53711
| | - Megan E. Piper
- Department of Medicine, University of Wisconsin School of
Medicine and Public Health, 750 Highland Ave, Madison, WI 53705
- University of Wisconsin Center for Tobacco Research and
Intervention, 1930 Monroe St # 200, Madison, WI 53711
| |
Collapse
|
17
|
Sheffer CE. Tobacco quitlines: Opportunities for innovation to increase reach and effectiveness. Prev Med 2022; 165:107319. [PMID: 36283486 DOI: 10.1016/j.ypmed.2022.107319] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 10/17/2022] [Accepted: 10/18/2022] [Indexed: 11/17/2022]
Abstract
The largest tobacco treatment network in North America, Tobacco Quitlines are an effective population-based approach to increase tobacco cessation; however, overall reach has decreased significantly in the past decade. A new generation of innovations responsive to evolving shifts in communication preferences, supported by research, and focused on increasing the impact of services have the potential to reinvigorate this network. The goal of this narrative review was to identify opportunities for innovation in Quitline service delivery, synthesize evidence for these opportunities, and identify gaps in the research. Innovation was defined as significant shift in current practice by utilizing novel theoretical concepts, approaches, methodologies, or interventions. The Experimental Medicine Approach informed the identification of gaps in the research. The specific domains were selected by reviewing previous reviews, commentaries, calls for action, and a recent report on promising practices. Evidence was garnered primarily from systematic reviews. Opportunities included automated and interactive digital therapeutics, novel health communications for stigma-free media campaigns, methods to increase access to nicotine replacement therapies, novel treatment options and combinations, and methods to promote engagement with digital therapeutics. Research topics that cross multiple domains include the consideration of theoretical frameworks, the identification of therapeutic targets and mechanisms of action, and the development of adapted approaches to address specific challenges and cultural responsivity. Finally, an examination is needed to understand how to improve the speed with which innovations are developed and implemented in this network.
Collapse
Affiliation(s)
- Christine E Sheffer
- Roswell Park Comprehensive Cancer Center, Department of Health Behavior, Elm & Carlton, Buffalo, NY 14263, United States of America.
| |
Collapse
|
18
|
Hawk LW, Tiffany ST, Colder CR, Ashare RL, Wray JM, Tyndale RF, Brandon TH, Mahoney MC. Effect of Extending the Duration of Prequit Treatment With Varenicline on Smoking Abstinence: A Randomized Clinical Trial. JAMA Netw Open 2022; 5:e2241731. [PMID: 36367720 PMCID: PMC9652761 DOI: 10.1001/jamanetworkopen.2022.41731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
IMPORTANCE Even with varenicline, the leading monotherapy for tobacco dependence, smoking abstinence rates remain low. Preliminary evidence suggests that extending the duration of varenicline treatment before quitting may increase abstinence. OBJECTIVE To test the hypotheses that, compared with standard run-in varenicline treatment (1 week before quitting), extended run-in varenicline treatment (4 weeks before quitting) reduces smoking exposure before the target quit date (TQD) and enhances abstinence, particularly among women. DESIGN, SETTING, AND PARTICIPANTS This double-blind, randomized, placebo-controlled clinical trial enrolled participants from October 2, 2017, to December 9, 2020, at a single-site research clinic in Buffalo, New York. Of 1385 people screened, 320 adults reporting smoking 5 or more cigarettes per day (CPD) were randomized and followed up for 28 weeks. Data were analyzed from August 2021 to June 2022. INTERVENTIONS In the pre-TQD period (weeks 1-4), the extended run-in group received 4 weeks of varenicline; the standard run-in group received 3 weeks of placebo followed by 1 week of varenicline. Both groups received open-label varenicline during weeks 5 to 15 and brief quit counseling at 6 clinic visits. MAIN OUTCOMES AND MEASURES The primary outcome consisted of cotinine-verified (at end of treatment [EOT]) self-reported continuous abstinence from smoking (in CPD) during the last 4 weeks of treatment. Secondary outcomes included bioverified self-report of continuous abstinence at the 6-month follow-up and percentage of reduction in self-reported smoking rate during the prequit period (week 1 vs week 4). RESULTS A total of 320 participants were randomized, including 179 women (55.9%) and 141 men (44.1%), with a mean (SD) age of 53.7 (10.1) years. Continuous abstinence during the final 4 weeks of treatment (weeks 12-15; EOT) was not greater in the extended run-in group (64 of 163 [39.3%]) compared with the standard run-in group (57 of 157 [36.3%]; odds ratio [OR], 1.13 [95% CI, 0.72-1.78]), nor was the hypothesized group × sex interaction significant (OR, 0.52 [95% CI, 0.21-1.28]). Similar nonsignificant results were obtained for continuous abstinence at the 6-month follow-up. The mean (SE) decrease in self-reported smoking rate during the prequit period was greater in the extended run-in group (-38.8% [2.8%]) compared with the standard run-in group (-17.5% [2.7%]). CONCLUSIONS AND RELEVANCE Among adult daily smokers, extending the duration of prequit varenicline treatment beyond the standard 1-week run-in period reduced prequit smoking exposure but, more importantly, did not significantly improve continuous abstinence rates. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03262662.
Collapse
Affiliation(s)
- Larry W. Hawk
- Department of Psychology, University at Buffalo, Buffalo, New York
| | | | - Craig R. Colder
- Department of Psychology, University at Buffalo, Buffalo, New York
| | - Rebecca L. Ashare
- Department of Psychology, University at Buffalo, Buffalo, New York
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Jennifer M. Wray
- Department of Psychiatry, Military Sciences Division, Medical University of South Carolina, Charleston
| | - Rachel F. Tyndale
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Campbell Family Mental Health Research Institute, The Center for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Thomas H. Brandon
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
- Department of Psychology, University of South Florida, Tampa
- Department of Oncologic Sciences, University of South Florida, Tampa
| | - Martin C. Mahoney
- Department of Internal Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| |
Collapse
|
19
|
Kolodner G, DiClemente CC, Miller MM. Nicotine Addiction: A Burning Issue in Addiction Psychiatry. Psychiatr Clin North Am 2022; 45:451-465. [PMID: 36055732 DOI: 10.1016/j.psc.2022.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
Addressing nicotine addiction has been given a low priority, compared with other substance use disorders (SUDs), by the addiction treatment field. Persons with nicotine addiction are reluctant to attempt to stop using nicotine products-despite recognizing it to be a problem-because they are feeling discouraged by multiple past unsuccessful attempts at quitting. By understanding that discouragement is a frequent reason that these people are in Precontemplation and by using traditional clinical interventions applied to other SUDs, clinicians could achieve better overall treatment outcomes.
Collapse
Affiliation(s)
- George Kolodner
- Georgetown University School of Medicine, Washington, DC, USA.
| | | | - Michael M Miller
- University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Medical College of Wisconsin, Wauwatosa, WI, USA
| |
Collapse
|
20
|
Affiliation(s)
- Peter Selby
- From the Nicotine Dependence Service, Addictions Program, Centre for Addiction and Mental Health, Toronto
| | - Laurie Zawertailo
- From the Nicotine Dependence Service, Addictions Program, Centre for Addiction and Mental Health, Toronto
| |
Collapse
|
21
|
Tattan-Birch H, Kock L, Brown J, Beard E, Bauld L, West R, Shahab L. E-cigarettes to Augment Stop Smoking In-person Support and Treatment With Varenicline (E-ASSIST): A Pragmatic Randomized Controlled Trial. Nicotine Tob Res 2022; 25:395-403. [PMID: 35738868 PMCID: PMC9384384 DOI: 10.1093/ntr/ntac149] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 06/09/2022] [Accepted: 06/22/2022] [Indexed: 12/01/2022]
Abstract
AIM To examine whether, in adults receiving behavioral support, offering e-cigarettes together with varenicline helps more people stop smoking cigarettes than varenicline alone. METHODS A two-group, parallel arm, pragmatic randomized controlled trial was conducted in six English stop smoking services from 2019-2020. Adults enrolled onto a 12-week programme of in-person one-to-one behavioral smoking cessation support (N = 92) were randomized to receive either (1) a nicotine e-cigarette starter kit alongside varenicline or (2) varenicline alone. The primary outcome was biochemically verified abstinence from cigarette smoking between weeks 9-to-12 post quit date, with those lost to follow-up considered not abstinent. The trial was stopped early due to COVID-19 restrictions and a varenicline recall (92/1266 participants used). RESULTS Nine-to-12-week smoking abstinence rates were 47.9% (23/48) in the e-cigarette-varenicline group compared with 31.8% (14/44) in the varenicline-only group, a 51% increase in abstinence among those offered e-cigarettes; however, the confidence interval (CI) was wide, including the possibility of no difference (risk ratio [RR] = 1.51, 95% CI = 0.91-2.64). The e-cigarette-varenicline group had 43% lower hazards of relapse from continuous abstinence than the varenicline-only group (hazards ratio [HR] = 0.57, 95% CI = 0.34-0.96). Attendance for 12 weeks was higher in the e-cigarette-varenicline than varenicline-only group (54.2% vs. 36.4%; RR = 1.49, 95% CI = 0.95-2.47), but similar proportions of participants in both groups used varenicline daily for ≥8 weeks after quitting (22.9% versus 22.7%; RR = 1.01, 95% CI = 0.47-2.20). Estimates were too imprecise to determine how adverse events differed by group. CONCLUSION Tentative evidence suggests that offering e-cigarettes alongside varenicline to people receiving behavioral support may be more effective for smoking cessation than varenicline alone. IMPLICATIONS Offering e-cigarettes to people quitting smoking with varenicline may help them remain abstinent from cigarettes, but the evidence is tentative because our sample size was smaller than planned-caused by Coronavirus Disease 2019 (COVID-19) restrictions and a manufacturing recall. This meant our effect estimates were imprecise, and additional evidence is needed to confirm that providing e-cigarettes and varenicline together helps more people remain abstinent than varenicline alone.
Collapse
Affiliation(s)
| | | | - Jamie Brown
- Department of Behavioural Science and Health, University College London, London, UK,SPECTRUM Consortium, UK
| | - Emma Beard
- Department of Behavioural Science and Health, University College London, London, UK,SPECTRUM Consortium, UK
| | - Linda Bauld
- SPECTRUM Consortium, UK,Usher Institute, College of Medicine, University of Edinburgh, Edinburgh, UK
| | - Robert West
- Department of Behavioural Science and Health, University College London, London, UK,SPECTRUM Consortium, UK
| | - Lion Shahab
- Corresponding Author: Lion Shahab, PhD, Department of Behavioural Science and Health, University College London, 1–19 Torrington Place, London, WC1E 6BT, UK; Telephone: 44-207679-1895; Fax: 44-2078132848; E-mail:
| |
Collapse
|
22
|
Abstract
Rationale The American Thoracic Society (ATS) developed a clinical practice guideline on initiating pharmacologic treatment in tobacco-dependent adults. Controller pharmacotherapies treat tobacco dependence effectively when taken as prescribed. But relapse after pharmacologic discontinuation is common. Objective To evaluate the effectiveness and safety of initiating controller for an extended (>12 week) versus a standard duration (6 - 12 weeks) in tobacco-dependent adults. Methods We systematically searched PubMed, EMBASE, CINAHL, and CENTRAL from database inception to December 2021 to identify randomized controlled trials comparing extended versus standard duration of controllers for tobacco dependent adults. We conducted meta-analyses using the Mantel-Haenszel method with random effects model. Outcomes of interest include point prevalent abstinence at 1-year follow up or longer, relapse, adverse events, quality of life, and withdrawal symptoms. Subgroup analyses were conducted according to types of treatment, and duration of extended therapy when feasible. We assessed the certainty of the estimate following the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. Results We included 13 randomized controlled trials including 8,695 participants that directly compared extended (>12 week) versus standard-duration controller therapy with varenicline, bupropion, or nicotine replacement therapy (NRT). Compared with standard-duration controller therapy, extended-duration controller therapy probably increased abstinence at 1-year follow-up, measured as 7-day point-prevalence abstinence, (RR, 1.18; 95% CI, 1.05 to 1.33, moderate certainty). Extended-duration controller therapy probably reduced relapse compared to standard-duration controller therapy, assessed at 12 to 18 months after initiation of therapy (HR 0.43; 95% CI, 0.29 to 0.64; moderate certainty). Moderate certainty evidence also suggested that extended-duration controller therapy probably did not increase risk of serious adverse events (RR, 1.37; 95% CI, 0.79 to 2.36). Conclusion This systematic review supported the recommendation for extended-duration therapy with controllers. Further studies on optimal extended duration are warranted.
Collapse
|
23
|
Baker TB, Fiore MC. Combined Varenicline With Nicotine Patch and Extended Duration of Therapy for Smoking Cessation-Reply. JAMA 2022; 327:391-392. [PMID: 35076674 DOI: 10.1001/jama.2021.22664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Timothy B Baker
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison
| | - Michael C Fiore
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison
| |
Collapse
|
24
|
Lang AE. Combined Varenicline With Nicotine Patch and Extended Duration of Therapy for Smoking Cessation. JAMA 2022; 327:390-391. [PMID: 35076677 DOI: 10.1001/jama.2021.22661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
|