An Algorithm Approach to Determining Smoking Cessation Treatment for Persons Living With HIV/AIDS: Results of a Pilot Trial

Boosting self-efficacy and improving practices for smoking prevention and cessation among South American cancer care providers with a web-based algorithm

BACKGROUND

Digital technologies have positively impacted the availability and usability of clinical algorithms through the advancement in mobile health. Therefore, this study aimed to determine if a web-based algorithm designed to support the decision-making process of cancer care providers (CCPs) differentially impacted their self-reported self-efficacy and practices for providing smoking prevention and cessation services in Peru and Colombia.

METHODS

A simple decision-making tree algorithm was built in REDCap using information from an extensive review of the currently available smoking prevention and cessation resources. We employed a pre-post study design with a mixed-methods approach among 53 CCPs in Peru and Colombia for pilot-testing the web-based algorithm during a 3-month period. Wilcoxon signed-rank test was used to compare the CCPs' self-efficacy and practices before and after using the web-based algorithm. The usability of the web-based algorithm was quantitatively measured with the system usability scale (SUS), as well as qualitatively through the analysis of four focus groups conducted among the participating CCPs.

RESULTS

The pre-post assessments indicated that the CCPs significantly improved their self-efficacy and practices toward smoking prevention and cessation services after using the web-based algorithm. The overall average SUS score obtained among study participants was 82.9 (± 9.33) [Peru 81.5; Colombia 84.1]. After completing the qualitative analysis of the focus groups transcripts, four themes emerged: limited resources currently available for smoking prevention and cessation in oncology settings, merits of the web-based algorithm, challenges with the web-based algorithm, and suggestions for improving this web-based decision-making tool.

CONCLUSION

The web-based algorithm showed high usability and was well-received by the CCPs in Colombia and Peru, promoting a preliminary improvement in their smoking prevention and cessation self-efficacy and practices.

COPD in People with HIV: Epidemiology, Pathogenesis, Management, and Prevention Strategies

Chronic obstructive pulmonary disease (COPD) is a progressive respiratory disorder characterized by airflow limitation and persistent respiratory symptoms. People with HIV (PWH) are particularly vulnerable to COPD development; PWH have demonstrated both higher rates of COPD and an earlier and more rapid decline in lung function than their seronegative counterparts, even after accounting for differences in cigarette smoking. Factors contributing to this HIV-associated difference include chronic immune activation and inflammation, accelerated aging, a predilection for pulmonary infections, alterations in the lung microbiome, and the interplay between HIV and inhalational toxins. In this review, we discuss what is known about the epidemiology and pathobiology of COPD among PWH and outline screening, diagnostic, prevention, and treatment strategies.

Rationale, design, and protocol for a hybrid type 1 effectiveness-implementation trial of a proactive smoking cessation electronic visit for scalable delivery via primary care: the E-STOP trial

BACKGROUND

Cigarette smoking remains the leading cause of preventable disease and death in the United States. Primary care offers an ideal setting to reach adults who smoke cigarettes and improve uptake of evidence-based cessation treatment. Although U.S. Preventive Services Task Force Guidelines recommend the 5As model (Ask, Advise, Assess, Assist, Arrange) in primary care, there are many barriers to its implementation. Automated, comprehensive, and proactive tools are needed to overcome barriers. Our team developed and preliminarily evaluated a proactive electronic visit (e-visit) delivered via the Electronic Health Record patient portal to facilitate evidence-based smoking cessation treatment uptake in primary care, with promising initial feasibility and efficacy. This paper describes the rationale, design, and protocol for an ongoing Hybrid Type I effectiveness-implementation trial that will simultaneously assess effectiveness of the e-visit intervention for smoking cessation as well as implementation potential across diverse primary care settings.

METHODS

The primary aim of this remote five-year study is to examine the effectiveness of the e-visit intervention vs. treatment as usual (TAU) for smoking cessation via a clinic-randomized clinical trial. Adults who smoke cigarettes are recruited across 18 primary care clinics. Clinics are stratified based on their number of primary care providers and randomized 2:1 to either e-visit or TAU. An initial baseline e-visit gathers information about patient smoking history and motivation to quit, and a clinical decision support algorithm determines the best evidence-based cessation treatment to prescribe. E-visit recommendations are evaluated by a patient's own provider, and a one-month follow-up e-visit assesses cessation progress. Main outcomes include: (1) cessation treatment utilization (medication, psychosocial cessation counseling), (2) reduction in cigarettes per day, and (3) biochemically verified 7-day point prevalence abstinence (PPA) at six-months. We hypothesize that patients randomized to the e-visit condition will have better cessation outcomes (vs. TAU). A secondary aim evaluates e-visit implementation potential at patient, provider, and organizational levels using a mixed-methods approach. Implementation outcomes include acceptability, adoption, fidelity, implementation cost, penetration, and sustainability.

DISCUSSION

This asynchronous, proactive e-visit intervention could provide substantial benefits for patients, providers, and primary care practices and has potential to widely improve reach of evidence-based cessation treatment.

TRIAL REGISTRATION

NCT05493254.

Antidepressants for smoking cessation

BACKGROUND

The pharmacological profiles and mechanisms of antidepressants are varied. However, there are common reasons why they might help people to stop smoking tobacco: nicotine withdrawal can produce short-term low mood that antidepressants may relieve; and some antidepressants may have a specific effect on neural pathways or receptors that underlie nicotine addiction.

OBJECTIVES

To assess the evidence for the efficacy, harms, and tolerability of medications with antidepressant properties in assisting long-term tobacco smoking cessation in people who smoke cigarettes.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, most recently on 29 April 2022.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) in people who smoked, comparing antidepressant medications with placebo or no pharmacological treatment, an alternative pharmacotherapy, or the same medication used differently. We excluded trials with fewer than six months of follow-up from efficacy analyses. We included trials with any follow-up length for our analyses of harms.

DATA COLLECTION AND ANALYSIS

We extracted data and assessed risk of bias using standard Cochrane methods. Our primary outcome measure was smoking cessation after at least six months' follow-up. We used the most rigorous definition of abstinence available in each trial, and biochemically validated rates if available. Our secondary outcomes were harms and tolerance outcomes, including adverse events (AEs), serious adverse events (SAEs), psychiatric AEs, seizures, overdoses, suicide attempts, death by suicide, all-cause mortality, and trial dropouts due to treatment. We carried out meta-analyses where appropriate.

MAIN RESULTS

We included a total of 124 studies (48,832 participants) in this review, with 10 new studies added to this update version. Most studies recruited adults from the community or from smoking cessation clinics; four studies focused on adolescents (with participants between 12 and 21 years old). We judged 34 studies to be at high risk of bias; however, restricting analyses only to studies at low or unclear risk of bias did not change clinical interpretation of the results.  There was high-certainty evidence that bupropion increased smoking cessation rates when compared to placebo or no pharmacological treatment (RR 1.60, 95% CI 1.49 to 1.72; I2 = 16%; 50 studies, 18,577 participants). There was moderate-certainty evidence that a combination of bupropion and varenicline may have resulted in superior quit rates to varenicline alone (RR 1.21, 95% CI 0.95 to 1.55; I2 = 15%; 3 studies, 1057 participants). However, there was insufficient evidence to establish whether a combination of bupropion and nicotine replacement therapy (NRT) resulted in superior quit rates to NRT alone (RR 1.17, 95% CI 0.95 to 1.44; I2 = 43%; 15 studies, 4117 participants; low-certainty evidence). There was moderate-certainty evidence that participants taking bupropion were more likely to report SAEs than those taking placebo or no pharmacological treatment. However, results were imprecise and the CI also encompassed no difference (RR 1.16, 95% CI 0.90 to 1.48; I2 = 0%; 23 studies, 10,958 participants). Results were also imprecise when comparing SAEs between people randomised to a combination of bupropion and NRT versus NRT alone (RR 1.52, 95% CI 0.26 to 8.89; I2 = 0%; 4 studies, 657 participants) and randomised to bupropion plus varenicline versus varenicline alone (RR 1.23, 95% CI 0.63 to 2.42; I2 = 0%; 5 studies, 1268 participants). In both cases, we judged evidence to be of low certainty. There was high-certainty evidence that bupropion resulted in more trial dropouts due to AEs than placebo or no pharmacological treatment (RR 1.44, 95% CI 1.27 to 1.65; I2 = 2%; 25 studies, 12,346 participants). However, there was insufficient evidence that bupropion combined with NRT versus NRT alone (RR 1.67, 95% CI 0.95 to 2.92; I2 = 0%; 3 studies, 737 participants) or bupropion combined with varenicline versus varenicline alone (RR 0.80, 95% CI 0.45 to 1.45; I2 = 0%; 4 studies, 1230 participants) had an impact on the number of dropouts due to treatment. In both cases, imprecision was substantial (we judged the evidence to be of low certainty for both comparisons). Bupropion resulted in inferior smoking cessation rates to varenicline (RR 0.73, 95% CI 0.67 to 0.80; I2 = 0%; 9 studies, 7564 participants), and to combination NRT (RR 0.74, 95% CI 0.55 to 0.98; I2 = 0%; 2 studies; 720 participants). However, there was no clear evidence of a difference in efficacy between bupropion and single-form NRT (RR 1.03, 95% CI 0.93 to 1.13; I2 = 0%; 10 studies, 7613 participants). We also found evidence that nortriptyline aided smoking cessation when compared with placebo (RR 2.03, 95% CI 1.48 to 2.78; I2 = 16%; 6 studies, 975 participants), and some evidence that bupropion resulted in superior quit rates to nortriptyline (RR 1.30, 95% CI 0.93 to 1.82; I2 = 0%; 3 studies, 417 participants), although this result was subject to imprecision. Findings were sparse and inconsistent as to whether antidepressants, primarily bupropion and nortriptyline, had a particular benefit for people with current or previous depression.

AUTHORS' CONCLUSIONS

There is high-certainty evidence that bupropion can aid long-term smoking cessation. However, bupropion may increase SAEs (moderate-certainty evidence when compared to placebo/no pharmacological treatment). There is high-certainty evidence that people taking bupropion are more likely to discontinue treatment compared with people receiving placebo or no pharmacological treatment. Nortriptyline also appears to have a beneficial effect on smoking quit rates relative to placebo, although bupropion may be more effective. Evidence also suggests that bupropion may be as successful as single-form NRT in helping people to quit smoking, but less effective than combination NRT and varenicline. In most cases, a paucity of data made it difficult to draw conclusions regarding harms and tolerability. Further studies investigating the efficacy of bupropion versus placebo are unlikely to change our interpretation of the effect, providing no clear justification for pursuing bupropion for smoking cessation over other licensed smoking cessation treatments; namely, NRT and varenicline. However, it is important that future studies of antidepressants for smoking cessation measure and report on harms and tolerability.

Developing and pre-testing a digital decision-tree smartphone application for smoking prevention and cessation among HIV care providers

Objectives

The diagnosis and continuous care of chronic conditions such as HIV infection present potential teachable moments for delivering smoking prevention and cessation interventions for patients. We designed and pre-tested a prototype of a smartphone application(app), Decision-T, specifically designed to assist healthcare providers when providing personalized smoking prevention and cessation services to their patients.

Methods

We developed the Decision-T app based on transtheoretical algorithm for smoking prevention and cessation following the 5-A's model. We employed a mixed-methods approach among 18 HIV-care providers recruited from Houston Metropolitan Area for pre-testing the app. Each provider participated in three mock sessions, and the average time spent at each session was measured. We measured accuracy by comparing the smoking prevention and cessation treatment offered by the HIV-care provider using the app to that chosen by the tobacco specialist who designed the case. The system usability scale (SUS) was used to assess usability quantitatively , while individual interview transcripts were analyzed to determine usability qualitatively. STATA-17/SE and Nvivo-V12 were used for quantitative and qualitative analysis, respectively.

Results

The average time for completing each mock session was 5 min 17 s. The participants achieved an overall average accuracy of 89.9%. The average SUS score achieved was 87.5(±10.26). After analyzing the transcripts, five themes (app's contents are beneficial and straightforward, design is easy to understand, user's experience is uncomplicated, tech is intuitive, and app needs improvements) emerged.

Conclusions

The decision-T app can potentially increase HIV-care providers' engagement in offering smoking prevention and cessation behavioral and pharmacotherapy recommendations to their patients briefly and accurately.

Proactive Electronic Visits for Smoking Cessation and Chronic Obstructive Pulmonary Disease Screening in Primary Care: Randomized Controlled Trial of Feasibility, Acceptability, and Efficacy

BACKGROUND

Most smokers with chronic obstructive pulmonary disease (COPD) have not yet been diagnosed, a statistic that has remained unchanged for over two decades. A dual-focused telehealth intervention that promotes smoking cessation, while also facilitating COPD screening, could help address national priorities to improve the diagnosis, prevention, treatment, and management of COPD. The purpose of this study was to preliminarily evaluate an integrated asynchronous smoking cessation and COPD screening e-visit (electronic visit) that could be delivered proactively to adult smokers at risk for COPD, who are treated within primary care.

OBJECTIVE

The aims of this study were (1) to examine e-visit feasibility and acceptability, particularly as compared to in-lab diagnostic pulmonary function testing (PFT), and (2) to examine the efficacy of smoking cessation e-visits relative to treatment as usual (TAU), all within primary care.

METHODS

In a randomized clinical trial, 125 primary care patients who smoke were randomized 2:1 to receive either proactive e-visits or TAU. Participants randomized to the e-visit condition were screened for COPD symptoms via the COPD Assessment in Primary Care to Identify Undiagnosed Respiratory Disease and Exacerbation Risk (CAPTURE). Those with scores ≥2 were invited to complete both home spirometry and in-lab PFTs, in addition to two smoking cessation e-visits. Smoking cessation e-visits assessed smoking history and motivation to quit and included completion of an algorithm to determine the best Food and Drug Administration-approved cessation medication to prescribe. Primary outcomes included measures related to (1) e-visit acceptability, feasibility, and treatment metrics; (2) smoking cessation outcomes (cessation medication use, 24-hour quit attempts, smoking reduction ≥50%, self-reported abstinence, and biochemically confirmed abstinence); and (3) COPD screening outcomes.

RESULTS

Of 85 participants assigned to the e-visits, 64 (75.3%) were invited to complete home spirometry and in-lab PFTs based on CAPTURE. Among those eligible for spirometry, 76.6% (49/64) completed home spirometry, and 35.9% (23/64) completed in-lab PFTs. At 1 month, all cessation outcomes favored the e-visit, with a significant effect for cessation medication use (odds ratio [OR]=3.22). At 3 months, all cessation outcomes except for 24-hour quit attempts favored the e-visit, with significant effects for cessation medication use (OR=3.96) and smoking reduction (OR=3.09).

CONCLUSIONS

A proactive, asynchronous e-visit for smoking cessation and COPD screening may offer a feasible, efficacious approach for broad interventions within primary care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04155073; https://clinicaltrials.gov/ct2/show/NCT04155073.

Evaluating the Efficacy of Automated Smoking Treatment for People With HIV: Protocol for a Randomized Controlled Trial

Background

Smoking prevalence rates among people with HIV are nearly 3 times higher than those in the general population. Nevertheless, few smoking cessation trials targeting smokers with HIV have been reported in the literature. Efforts to develop and evaluate sustainable, low-cost, and evidence-based cessation interventions for people with HIV are needed. Given the widespread proliferation of mobile phones, the potential of using mobile health apps to improve the reach and efficacy of cessation interventions is promising, but evidence of efficacy is lacking, particularly among people with HIV.

Objective

This study will consist of a 2-group randomized controlled trial to evaluate a fully automated smartphone intervention for people with HIV seeking cessation treatment.

Methods

Participants (N=500) will be randomized to receive either standard treatment (ST; 250/500, 50%) or automated treatment (AT; 250/500, 50%). ST participants will be connected to the Florida Quitline and will receive nicotine replacement therapy in the form of transdermal patches and lozenges. This approach, referred to as Ask Advise Connect, was developed by our team and has been implemented in numerous health systems. ST will be compared with AT, a fully automated behavioral treatment approach. AT participants will receive nicotine replacement therapy and an interactive smartphone-based intervention that comprises individually tailored audiovisual and text content. The major goal is to determine whether AT performs better in terms of facilitating long-term smoking abstinence than the more resource-intensive ST approach. Our primary aim is to evaluate the efficacy of AT in facilitating smoking cessation among people with HIV. As a secondary aim, we will explore potential mediators and moderators and conduct economic evaluations to assess the cost and cost-effectiveness of AT compared with ST.

Results

The intervention content has been developed and finalized. Recruitment and enrollment will begin in the fall of 2021.

Conclusions

There is a critical need for efficacious, cost-effective, and sustainable cessation treatments for people with HIV who smoke. The AT intervention was designed to help fill this need. If efficacy is established, the AT approach will be readily adoptable by HIV clinics and community-based organizations, and it will offer an efficient way to allocate limited public health resources to tobacco control interventions.

Trial Registration

ClinicalTrials.gov NCT05014282; https://clinicaltrials.gov/ct2/show/NCT05014282

International Registered Report Identifier (IRRID)

PRR1-10.2196/33183

Effectiveness of a smoking cessation algorithm integrated into HIV primary care: Study protocol for a randomized controlled trial

BACKGROUND

While addressing smoking cessation in the context of HIV primary care may increase the acceptability of smoking cessation treatment for patients, HIV care providers have not been trained in offering these treatments. Tools that aid providers in treatment selection, such as computer-generated algorithms, may address barriers to providing effective and efficient treatment options to their patients.

OBJECTIVE

To test the effectiveness of a computer-generated smoking cessation pharmacotherapy recommendation algorithm fully integrated into HIV primary care against an enhanced usual care condition.

METHODS

Six hundred adult smokers living with HIV will be recruited from 3 medical clinics that provide HIV care in Birmingham, AL, Seattle, WA, and Boston, MA. Participants will be asked to complete a baseline visit and 4 follow-up visits, which will include self-report assessments and carbon monoxide monitoring. Additionally, participants have the option to respond to weekly text-message based surveys sent over an 11-week period between baseline and end of treatment. Participants randomized to the AT condition will have a tailored, algorithm-generated smoking cessation pharmacotherapy recommendation delivered to their HIV care provider via EHR, with the potential to receive up to 12 weeks of smoking cessation pharmacotherapy.

CONCLUSIONS

A smoking cessation pharmacotherapy recommendation algorithm integrated into HIV primary care may increase treatment utilization and smoking abstinence among smokers living with HIV. If successful, the intervention would be ready for use across the entire CFAR Network of Integrated Clinical Systems network and, more broadly, in HIV clinics that utilize an EHR system.

A Review of Chronic Comorbidities in Adults Living With HIV: State of the Science

ABSTRACT

People living with HIV are living longer, high-quality lives; however, as they age, this population is at increased risk for developing chronic comorbidities, including cardiovascular disease, certain types of cancer (e.g., lung, anal, and liver), and diabetes mellitus. The purpose of this state-of-the-science review is to provide an evidence-based summary on common physical comorbidities experienced by people living and aging with HIV. We focus on those chronic conditions that are prevalent and growing and share behavioral risk factors that are common in people living with HIV. We will discuss the current evidence on the epidemiology, physiology, prevention strategies, screening, and treatment options for people living with HIV across resource settings.

Assessing Tobacco Cessation Needs Among Persons Living With HIV in Brazil: Results From a Qualitative Interview Study

ABSTRACT

With regard to tobacco cessation, persons living with HIV (PLWH) are an underserved population, given the high prevalence of use and lack of evidence-based cessation programs tailored to this population. This study examined barriers and facilitators to tobacco use and cessation among PLWH in southern Brazil. We interviewed a total of 36 PLWH: 26 current smokers, of whom eight had a previous diagnosis of pulmonary TB, and 10 former smokers. Motivations for smoking included anxiety relief, social influence, and habitual behaviors. Motivations to quit included bad smell/taste and consequences/symptoms. Barriers to cessation included cost of pharmacological aids, distance to treatment, and reluctance to seek tobacco cessation services at the public primary care clinics due to confidentiality concerns. Participants favored individual or group interventions, no-cost pharmacologic aids, and assured confidentiality. There are specific contextual factors associated with tobacco cessation among PLWH in Brazil, which have important clinical, research, and policy implications.

Evaluation of a Proactive Smoking Cessation Electronic Visit to Extend the Reach of Evidence-Based Cessation Treatment via Primary Care

Background: Best practice guidelines for smoking cessation treatment through primary care advise the 5As model. However, compliance with these guidelines is poor, leaving many smokers untreated. The purpose of this study was to develop and preliminarily evaluate an asynchronous smoking cessation electronic visit (e-visit) that could be delivered proactively through the electronic health record (EHR) to adult smokers treated within primary care. The goal of the e-visit is to automate 5As delivery to ensure that all smokers receive evidence-based cessation treatment. As such, the aims of this study were twofold: (1) to examine acceptability, feasibility, and treatment metrics associated with e-visit utilization and (2) to preliminarily examine efficacy relative to treatment as usual (TAU) within primary care. Methods: Participants (n = 51) were recruited from primary care practices between November 2018 and October 2019 and randomized 2:1 to receive either the smoking cessation e-visit or TAU. Participants completed assessments of cessation outcomes 1-month and 3-months postenrollment and e-visit analytics data were gathered from the EHR. Results: Self-report feedback from e-visit participants indicated satisfaction with the intervention and interest in using e-visits again in the future. Nearly all e-visits resulted in prescription of a U.S. Food and Drug Administration (FDA)-approved smoking cessation medication. In general, smoking cessation outcomes favored the e-visit condition at both 1 (odds ratios [ORs]: 2.10-5.39) and 3 months (ORs: 1.31-4.67). Conclusions: These results preliminarily indicate the feasibility, acceptability, and efficacy of this smoking cessation e-visit within primary care. Future studies should focus on larger scale examination of effectiveness and implementation across settings. The clinicaltrials.gov registration number for this trial is NCT04316260.

Antidepressants for smoking cessation

BACKGROUND

Whilst the pharmacological profiles and mechanisms of antidepressants are varied, there are common reasons why they might help people to stop smoking tobacco. Firstly, nicotine withdrawal may produce depressive symptoms and antidepressants may relieve these. Additionally, some antidepressants may have a specific effect on neural pathways or receptors that underlie nicotine addiction.

OBJECTIVES

To assess the evidence for the efficacy, safety and tolerability of medications with antidepressant properties in assisting long-term tobacco smoking cessation in people who smoke cigarettes.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Specialized Register, which includes reports of trials indexed in the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and PsycINFO, clinicaltrials.gov, the ICTRP, and other reviews and meeting abstracts, in May 2019.

SELECTION CRITERIA

We included randomized controlled trials (RCTs) that recruited smokers, and compared antidepressant medications with placebo or no treatment, an alternative pharmacotherapy, or the same medication used in a different way. We excluded trials with less than six months follow-up from efficacy analyses. We included trials with any follow-up length in safety analyses.

DATA COLLECTION AND ANALYSIS

We extracted data and assessed risk of bias using standard Cochrane methods. We also used GRADE to assess the certainty of the evidence. The primary outcome measure was smoking cessation after at least six months follow-up, expressed as a risk ratio (RR) and 95% confidence intervals (CIs). We used the most rigorous definition of abstinence available in each trial, and biochemically validated rates if available. Where appropriate, we performed meta-analysis using a fixed-effect model. Similarly, we presented incidence of safety and tolerance outcomes, including adverse events (AEs), serious adverse events (SAEs), psychiatric AEs, seizures, overdoses, suicide attempts, death by suicide, all-cause mortality, and trial dropout due to drug, as RRs (95% CIs).

MAIN RESULTS

We included 115 studies (33 new to this update) in this review; most recruited adult participants from the community or from smoking cessation clinics. We judged 28 of the studies to be at high risk of bias; however, restricting analyses only to studies at low or unclear risk did not change clinical interpretation of the results. There was high-certainty evidence that bupropion increased long-term smoking cessation rates (RR 1.64, 95% CI 1.52 to 1.77; I² = 15%; 45 studies, 17,866 participants). There was insufficient evidence to establish whether participants taking bupropion were more likely to report SAEs compared to those taking placebo. Results were imprecise and CIs encompassed no difference (RR 1.16, 95% CI 0.90 to 1.48; I² = 0%; 21 studies, 10,625 participants; moderate-certainty evidence, downgraded one level due to imprecision). We found high-certainty evidence that use of bupropion resulted in more trial dropouts due to adverse events of the drug than placebo (RR 1.37, 95% CI 1.21 to 1.56; I² = 19%; 25 studies, 12,340 participants). Participants randomized to bupropion were also more likely to report psychiatric AEs compared with those randomized to placebo (RR 1.25, 95% CI 1.15 to 1.37; I² = 15%; 6 studies, 4439 participants). We also looked at the safety and efficacy of bupropion when combined with other non-antidepressant smoking cessation therapies. There was insufficient evidence to establish whether combination bupropion and nicotine replacement therapy (NRT) resulted in superior quit rates to NRT alone (RR 1.19, 95% CI 0.94 to 1.51; I² = 52%; 12 studies, 3487 participants), or whether combination bupropion and varenicline resulted in superior quit rates to varenicline alone (RR 1.21, 95% CI 0.95 to 1.55; I² = 15%; 3 studies, 1057 participants). We judged the certainty of evidence to be low and moderate, respectively; in both cases due to imprecision, and also due to inconsistency in the former. Safety data were sparse for these comparisons, making it difficult to draw clear conclusions. A meta-analysis of six studies provided evidence that bupropion resulted in inferior smoking cessation rates to varenicline (RR 0.71, 95% CI 0.64 to 0.79; I² = 0%; 6 studies, 6286 participants), whilst there was no evidence of a difference in efficacy between bupropion and NRT (RR 0.99, 95% CI 0.91 to 1.09; I² = 18%; 10 studies, 8230 participants). We also found some evidence that nortriptyline aided smoking cessation when compared with placebo (RR 2.03, 95% CI 1.48 to 2.78; I² = 16%; 6 studies, 975 participants), whilst there was insufficient evidence to determine whether bupropion or nortriptyline were more effective when compared with one another (RR 1.30 (favouring bupropion), 95% CI 0.93 to 1.82; I² = 0%; 3 studies, 417 participants). There was no evidence that any of the other antidepressants tested (including St John's Wort, selective serotonin reuptake inhibitors (SSRIs), monoamine oxidase inhibitors (MAOIs)) had a beneficial effect on smoking cessation. Findings were sparse and inconsistent as to whether antidepressants, primarily bupropion and nortriptyline, had a particular benefit for people with current or previous depression.

AUTHORS' CONCLUSIONS

There is high-certainty evidence that bupropion can aid long-term smoking cessation. However, bupropion also increases the number of adverse events, including psychiatric AEs, and there is high-certainty evidence that people taking bupropion are more likely to discontinue treatment compared with placebo. However, there is no clear evidence to suggest whether people taking bupropion experience more or fewer SAEs than those taking placebo (moderate certainty). Nortriptyline also appears to have a beneficial effect on smoking quit rates relative to placebo. Evidence suggests that bupropion may be as successful as NRT and nortriptyline in helping people to quit smoking, but that it is less effective than varenicline. There is insufficient evidence to determine whether the other antidepressants tested, such as SSRIs, aid smoking cessation, and when looking at safety and tolerance outcomes, in most cases, paucity of data made it difficult to draw conclusions. Due to the high-certainty evidence, further studies investigating the efficacy of bupropion versus placebo are unlikely to change our interpretation of the effect, providing no clear justification for pursuing bupropion for smoking cessation over front-line smoking cessation aids already available. However, it is important that where studies of antidepressants for smoking cessation are carried out they measure and report safety and tolerability clearly.

A pilot study to examine the acceptability and health effects of electronic cigarettes in HIV-positive smokers

INTRODUCTION

Some HIV-positive smokers report ambivalence about quitting. Switching to electronic cigarettes (ECs) may be a viable option to reduce the negative health effects for smokers who are unable or unwilling to quit smoking combustible cigarettes (CCs). This study examined the acceptability and health-related effects of ECs in HIV-positive smokers who were not seeking smoking cessation treatment.

METHODS

HIV-positive smokers (N = 19) were enrolled and followed for 12 weeks. Cartridge-based ECs were provided at baseline, and E-liquid was provided weekly for 8 weeks. At baseline, weeks 1-8, and week 12, EC and CC use, cardiopulmonary function, respiratory symptoms, and carbon monoxide (CO) levels were measured.

RESULTS

At week 8, cigarettes per day (CPD) were reduced by more than 80%, with reduction maintained at week 12 (p's < .001). Cigarette dependence scores were 40% lower at week 8 than at baseline (p <  .001). Seven (36.8%) participants reported transitioning completely from CCs to ECs. Mean CO decreased significantly from BL to week 8 (p < .05) and remained significantly lower at week 12 (p <  .001). Intention to quit increased significantly over time.

CONCLUSIONS

Switching from CCs to ECs in HIV-positive smokers who are not ready to quit smoking in the next 30 days appears to be feasible. Beneficial effects were seen, such as reduced CPD, reduced CO and CC dependence, and increased motivation to quit. ECs may be promising as a harm reduction approach among HIV-positive smokers who are unable or unwilling to quit smoking.

A Qualitative Systematic Review of Cigarette Smoking Cessation Interventions for Persons Living with HIV

Persons living with HIV (PLWH) have disproportionately high rates of both cigarette smoking and tobacco-induced negative health outcomes. The goal of this qualitative systematic review was to identify gaps in the existing literature and future directions for smoking cessation support for PLWH. Three online databases were searched from their inception through December 31, 2017, using designated search terms. Peer-reviewed English-language articles that documented an intervention designed to increase smoking cessation among PLWH were reviewed. Data were abstracted using a standardized form to document study and intervention characteristics and results. Thirty-two articles, describing 28 unique intervention studies, met inclusion criteria. Interventions consisted primarily of combinations of counseling, pharmacotherapy, and the use of information and communications technology; few interventions were implemented at the clinic level. Thirteen interventions resulted in significant improvements in cessation-related outcomes. Information and communications technology and clinic-level interventions had the greatest potential for increasing smoking cessation among PLWH. Efficacious interventions designed for PLWH in the US South, and for groups of PLWH facing additional health disparities (e.g., communities of color and sexual and gender minorities), are needed. There is also a need for more rigorous research designs to test the efficacy of interventions designed to increase cessation-related outcomes among PLWH.

Delivery and implementation of an algorithm for smoking cessation treatment for people living with HIV and AIDS

Compared to the general population, persons living with HIV (PLWH) have higher rates of tobacco use and an increased risk of morbidity from tobacco-related diseases. We conducted a single-arm pilot study of the real-world feasibility of integrating a smoking cessation decisional algorithm within routine clinic visits to engage non-treatment-seeking smokers in smoking cessation therapies. Smokers had an initial study visit during routine care followed by phone contacts at one and three months. Participants completed a baseline survey, followed by the algorithm which resulted in a recommendation for a smoking cessation medication, which was prescribed during the visit. Follow-up phone surveys assessed changes in smoking behavior and use of cessation medications at 1 and 3 months. Participants' (N = 60) self-reported smoking decreased from a baseline average of 14.4 cigarettes/day to 7.1 cigarettes/day at 3 months (p = .001). Nicotine dependence (FTND) decreased from 5.6 at baseline to 3.6 at 3 months (p < .001). Twenty-seven (45%) made a 24-h quit attempt and 39 (65%) used cessation medication. Insurance prior-authorization delayed medication receipt for seven participants and insurance denial occurred for one. Motivational status did not significantly influence outcomes. The algorithm was successful in engaging participants to use cessation medications and change smoking behaviors.

Effectiveness of Switching Smoking-Cessation Medications Following Relapse

INTRODUCTION

Nicotine dependence is a chronic disorder often characterized by multiple failed quit attempts (QAs). Yet, little is known about the sequence of methods used across multiple QAs or how this may impact future ability to abstain from smoking. This prospective cohort study examines the effectiveness of switching smoking-cessation medications (SCMs) across multiple QAs.

METHODS

Adult smokers (aged ≥18 years) participating in International Tobacco Control surveys in the United Kingdom, U.S., Canada, and Australia (N=795) who: (1) completed two consecutive surveys between 2006 and 2011; (2) initiated a QA at least 1 month before each survey; and (3) provided data for the primary predictor (SCM use during most recent QA), outcome (1-month point prevalence abstinence), and relevant covariates. Analyses were conducted in 2016.

RESULTS

Five SCM user classifications were identified: (1) non-users (43.5%); (2) early users (SCM used for initial, but not subsequent QA; 11.4%); (3) later users (SCM used for subsequent, but not initial QA; 18.4%); (4) repeaters (same SCM used for both QAs; 10.7%); and (5) switchers (different SCM used for each QA; 14.2%). Abstinence rates were lower for non-users (15.9%, OR=0.48, p=0.002), early users (16.6%, OR=0.27, p=0.03), and repeaters (12.4%, OR=0.36, p=0.004) relative to switchers (28.5%).

CONCLUSIONS

Findings suggest smokers will be more successful if they use a SCM in QAs and vary the SCM they use across time. That smokers can increase their odds of quitting by switching SCMs is an important message that could be communicated to smokers.

A Pilot Trial Examining African American and White Responses to Algorithm-Guided Smoking Cessation Medication Selection in Persons Living with HIV

Algorithm-based treatments (AT) may be an effective clinical tool to aid HIV clinicians in prescribing pharmacotherapy to increase smoking cessation among people living with HIV (PLWH). Initial results from AT indicated significant increases in abstinence self-efficacy and medication utilization and declines in cigarettes smoked per day across time. Given historical racial disparities, it is unclear if both African Americans and White smokers would benefit equally from this type of intervention. Thus, the aim of this study was to examine racial differences in response to AT guided smoking cessation for African American and White smokers living with HIV. One hundred PLWH smokers (n = 100) were randomized to receive either AT guided smoking cessation or Treatment as Usual (TAU) which consisted of instructing participants to talk to a provider about smoking cessation assistance when ready to make a quit attempt. Participants were African American (75%) and White (25%) and majority men (71%) who had never been married (56%). African Americans smoked fewer cigarettes and were more likely to smoke mentholated cigarettes compared to White smokers at baseline. African Americans increased their use of other tobacco products (cigars/cigarillos) over time relative to White smokers. A significant interaction between race and quit goal was observed, with White smokers who reported complete abstinence as their goal having higher quit rates, while African Americans who reported a goal other than complete abstinence demonstrating higher quit rates. The increased use of cigars/cigarillos during quit attempts as well as having a goal other than complete abstinence should be considered when applying algorithm based interventions for PLWH African American smokers.

Lung cancer in persons with HIV

PURPOSE OF REVIEW

Lung cancer is emerging as a leading cause of death in HIV-infected persons. This review will discuss the latest scientific evidence regarding the mechanisms driving lung cancer risk in HIV infection, the clinical presentation of lung cancer in HIV-infected persons and recent data regarding the outcomes, treatment and prevention of lung cancer in this group.

RECENT FINDINGS

Increased risk of lung cancer in HIV-infected persons is primarily due to higher smoking rates, but emerging evidence also implicates immunosuppression and inflammatory processes. Lung cancer outcomes may be worse in HIV-infected persons in the antiretroviral era, but this may stem, in part, from treatment disparities. Early detection of lung cancer using chest computed tomography (CT) is being increasingly adopted for smokers in the general population, and recent studies suggest that it may be safe and efficacious in HIV-infected smokers.

SUMMARY

Lung cancer is an important complication associated with chronic HIV infection. It is associated with unique HIV-related causal mechanisms, and may be associated with worse outcomes in some HIV-infected persons. Smoking cessation and early cancer detection with chest CT are likely to benefit HIV-infected smokers.

Tobacco Use, Use Disorders, and Smoking Cessation Interventions in Persons Living With HIV

Cigarette smoking remains highly prevalent among persons living with human immunodeficiency virus (HIV), estimated to be 40-75 %, and is significantly higher than what is observed among the general population. Health risks of smoking in this population include cardiovascular disease; bacterial pneumonia, chronic obstructive pulmonary disease, and other respiratory conditions; lung cancer and other malignancies; adverse cognitive and neurological outcomes; low birth weight, preterm birth, and small-for-gestational-age infants; and overall mortality. Smokers with HIV now lose more life years to smoking than they do to the HIV itself. A majority of smokers living with HIV report being interested in cessation, and a significant proportion has made recent quit attempts. There is a general paucity of large, randomized controlled trials of smoking cessation interventions among smokers living with HIV, and among the existing research, cessation rates are suboptimal. Greater resources and effort should be allocated to developing and evaluating cessation treatment modalities for smokers living with HIV. Efforts to individualize and tailor treatments to address specific client needs and comorbidities are warranted. HIV care providers and other health professionals can play a key role in improving health among this population by regularly screening for smoking and promoting cessation.

Withdrawal exposure with withdrawal regulation training for smoking cessation: a randomized controlled pilot trial

INTRODUCTION

Although withdrawal processes form a key motivational basis for cigarette use, smoking cessation treatments appear to exert only modest effects on withdrawal. One treatment option for further reducing withdrawal severity would be to provide smokers with withdrawal regulation training. The objective of this study was to pilot a smoking cessation intervention comprising withdrawal exposure with withdrawal regulation training.

METHODS

Adult smokers (N=80) were randomized to one of two conditions: 1) Withdrawal Exposure with Withdrawal Regulation Training (WT), which included the development and application of individualized withdrawal regulation strategies over four separate sessions that spanned the first four hours of abstinence; 2) or Relaxation Control (RC) training, which controlled for the therapeutic contact of WT. All sessions occurred before the quit date, after which differential treatment was discontinued and all participants received brief counseling, nicotine replacement therapy, and self-help literature. Biochemically-confirmed (CO≤3) seven-day point-prevalence abstinence was assessed at Months 2 and 3 after end-of-treatment.

RESULTS

Treatment completion and ratings of credibility and efficacy were high and equivalent across conditions. 22.2% of participants in the WT condition were abstinent at both time points, whereas 0% and 4.2% of participants in the RC condition were abstinent at Months 2 and 3 (Month 3 OR=6.5 [0.73, 59.19]). In-session withdrawal ratings suggested WT improved regulation of withdrawal symptoms, which were in turn associated with abstinence.

CONCLUSIONS

This small pilot study suggests that WT promotes abstinence by enhancing withdrawal regulation. Results warrant further investigation of this innovative treatment approach.

Pathophysiology and management of cardiovascular disease in patients with HIV

Results from several studies have suggested that people with HIV have an increased risk of cardiovascular disease, especially coronary heart disease, compared with people not infected with HIV. People living with HIV have an increased prevalence of traditional cardiovascular disease risk factors, and HIV-specific mechanisms such as immune activation. Although older, more metabolically harmful antiretroviral regimens probably contributed to the risk of cardiovascular disease, new data suggest that early and continuous use of modern regimens, which might have fewer metabolic effects, minimises the risk of myocardial infarction by maintaining viral suppression and decreasing immune activation. Even with antiretroviral therapy, however, immune activation persists in people with HIV and could contribute to accelerated atherosclerosis, especially of coronary lesions that are susceptible to rupture. Therefore, treatments that safely reduce inflammation in people with HIV could provide additional cardiovascular protection alongside treatment of both traditional and non-traditional risk factors.

Smoking Cessation for People Living With HIV/AIDS: A Literature Review and Synthesis

INTRODUCTION

People living with HIV/AIDS (PLWHA) are more likely to smoke cigarettes than are individuals in the general population. The health implications of tobacco use are substantially more dire among PLWHA than among otherwise healthy smokers, including higher rates of various cancers, cardiovascular disease, inflammation, and lung infections. Efficacious behavioral and medication treatments for treating nicotine dependence have rarely been investigated in PLWHA.

METHODS

We present a review of studies examining the efficacy of smoking cessation interventions.

RESULTS AND CONCLUSIONS

The literature reveals some limited evidence for the efficacy of behavioral interventions. However, the research literature on these interventions is sparse and the efficacy findings are mixed. Studies exploring the use of mobile technologies for reducing treatment barriers are becoming more prevalent. Few published trials have directly examined the efficacy of pharmacological smoking cessation interventions among PLWHA. Specific gaps in the treatment literature are discussed in detail, and a strategy is presented for developing a greater understanding of factors that contribute to the efficacy of smoking cessation among PLWHA.

IMPLICATIONS

This paper provides the most comprehensive review to date on smoking cessation intervention research conducted with PLWHA. It also discusses specific gaps in the literature that should be a priority for future research.

Obstructive Lung Diseases in HIV: A Clinical Review and Identification of Key Future Research Needs

HIV infection has shifted from what was once a disease directly impacting short-term mortality to what is now a chronic illness controllable in the era of effective combination antiretroviral therapy (ART). In this setting, life expectancy for HIV-infected individual is nearly comparable to that of individuals without HIV. Subsequent to this increase in life expectancy, there has been recognition of increased multimorbidity among HIV-infected persons, with prevalence of comorbid chronic illnesses now approaching 65%. Obstructive lung diseases, including chronic obstructive pulmonary disease (COPD) and asthma, are prevalent conditions associated with substantial morbidity and mortality in the United States. There is overlap in risk factors for HIV acquisition and chronic lung diseases, including lower socioeconomic status and the use of tobacco and illicit drugs. Objectives of this review are to (1) summarize the current state of knowledge regarding COPD and asthma among HIV-infected persons, (2) highlight implications for clinicians caring for patients with these combined comorbidities, and (3) identify key research initiatives to reduce the burden of obstructive lung diseases among HIV-infected persons.