The relationship between ART adherence and smoking status among HIV+ individuals

Interventions for tobacco use cessation in people living with HIV

BACKGROUND

The prevalence of tobacco use among people living with HIV (PLWH) is up to four times higher than in the general population. Unfortunately, tobacco use increases the risk of progression to AIDS and death. Individual- and group-level interventions, and system-change interventions that are effective in helping PLWH stop using tobacco can markedly improve the health and quality of life of this population. However, clear evidence to guide policy and practice is lacking, which hinders the integration of tobacco use cessation interventions into routine HIV care. This is an update of a review that was published in 2016. We include 11 new studies.

OBJECTIVES

To assess the benefits, harms and tolerability of interventions for tobacco use cessation among people living with HIV. To compare the benefits, harms and tolerability of interventions for tobacco use cessation that are tailored to the needs of people living with HIV with that of non-tailored cessation interventions.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group's Specialised Register, CENTRAL, MEDLINE, Embase, and PsycINFO in December 2022.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) of individual-/group-level behavioural or pharmacological interventions, or both, for tobacco use cessation, delivered directly to PLWH aged 18 years and over, who use tobacco. We also included RCTs, quasi-RCTs, other non-randomised controlled studies (e.g. controlled before and after studies), and interrupted time series studies of system-change interventions for tobacco use cessation among PLWH. For system-change interventions, participants could be PLWH receiving care, or staff working in healthcare settings and providing care to PLWH; but studies where intervention delivery was by research personnel were excluded. For both individual-/group-level interventions, and system-change interventions, any comparator was eligible.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods, and used GRADE to assess certainty of the evidence. The primary measure of benefit was tobacco use cessation at a minimum of six months. Primary measures for harm were adverse events (AEs) and serious adverse events (SAEs). We also measured quit attempts or quit episodes, the receipt of a tobacco use cessation intervention, quality of life, HIV viral load, CD4 count, and the incidence of opportunistic infections.

MAIN RESULTS

We identified 17 studies (16 RCTs and one non-randomised study) with a total of 9959 participants; 11 studies are new to this update. Nine studies contributed to meta-analyses (2741 participants). Fifteen studies evaluated individual-/group-level interventions, and two evaluated system-change interventions. Twelve studies were from the USA, two from Switzerland, and there were single studies for France, Russia and South Africa. All studies focused on cigarette smoking cessation. All studies received funding from independent national- or institutional-level funding. Three studies received study medication free of charge from a pharmaceutical company. Of the 16 RCTs, three were at low risk of bias overall, five were at high risk, and eight were at unclear risk. Behavioural support or system-change interventions versus no or less intensive behavioural support Low-certainty evidence (7 studies, 2314 participants) did not demonstrate a clear benefit for tobacco use cessation rates in PLWH randomised to receive behavioural support compared with brief advice or no intervention: risk ratio (RR) 1.11, 95% confidence interval (CI) 0.87 to 1.42, with no evidence of heterogeneity. Abstinence at six months or more was 10% (n = 108/1121) in the control group and 11% (n = 127/1193) in the intervention group. There was no evidence of an effect on tobacco use cessation on system-change interventions: calling the quitline and transferring the call to the patient whilst they are still in hospital ('warm handoff') versus fax referral (RR 3.18, 95% CI 0.76 to 13.99; 1 study, 25 participants; very low-certainty evidence). None of the studies in this comparison assessed SAE. Pharmacological interventions versus placebo, no intervention, or another pharmacotherapy Moderate-certainty evidence (2 studies, 427 participants) suggested that varenicline may help more PLWH to quit smoking than placebo (RR 1.95, 95% CI 1.05 to 3.62) with no evidence of heterogeneity. Abstinence at six months or more was 7% (n = 14/215) in the placebo control group and 13% (n = 27/212) in the varenicline group. There was no evidence of intervention effects from individual studies on behavioural support plus nicotine replacement therapy (NRT) versus brief advice (RR 8.00, 95% CI 0.51 to 126.67; 15 participants; very low-certainty evidence), behavioural support plus NRT versus behavioural support alone (RR 1.47, 95% CI 0.92 to 2.36; 560 participants; low-certainty evidence), varenicline versus NRT (RR 0.93, 95% CI 0.48 to 1.83; 200 participants; very low-certainty evidence), and cytisine versus NRT (RR 1.18, 95% CI 0.66 to 2.11; 200 participants; very low-certainty evidence). Low-certainty evidence (2 studies, 427 participants) did not detect a difference between varenicline and placebo in the proportion of participants experiencing SAEs (8% (n = 17/212) versus 7% (n = 15/215), respectively; RR 1.14, 95% CI 0.58 to 2.22) with no evidence of heterogeneity. Low-certainty evidence from one study indicated similar SAE rates between behavioural support plus NRT and behavioural support only (1.8% (n = 5/279) versus 1.4% (n = 4/281), respectively; RR 1.26, 95% CI 0.34 to 4.64). No studies assessed SAEs for the following: behavioural support plus NRT versus brief advice; varenicline versus NRT and cytisine versus NRT.

AUTHORS' CONCLUSIONS

There is no clear evidence to support or refute the use of behavioural support over brief advice, one type of behavioural support over another, behavioural support plus NRT over behavioural support alone or brief advice, varenicline over NRT, or cytisine over NRT for tobacco use cessation for six months or more among PLWH. Nor is there clear evidence to support or refute the use of system-change interventions such as warm handoff over fax referral, to increase tobacco use cessation or receipt of cessation interventions among PLWH who use tobacco. However, the results must be considered in the context of the small number of studies included. Varenicline likely helps PLWH to quit smoking for six months or more compared to control. We did not find evidence of difference in SAE rates between varenicline and placebo, although the certainty of the evidence is low.

The interrelationship of smoking, CD4+ cell count, viral load and cancer in persons living with HIV

BACKGROUND

It is unknown if the carcinogenic effect of smoking is influenced by CD4+ cell count and viral load in persons living with HIV.

MATERIAL AND METHODS

RESPOND participants with known smoking status were included. Poisson regression adjusting for baseline confounders investigated the interaction between current CD4+/viral load strata [good (CD4+ cell count ≥500 cells/μl and viral load <200 copies/ml], poor [CD4+ cell count ≤350 cells/μl and viral load >200 copies/ml] and intermediate [all other combinations]), smoking status and all cancers, non-AIDS defining cancers (NADCs), smoking-related cancers (SRCs) and infection-related cancers (IRCs).

RESULTS

Out of 19 602 persons, 41.3% were never smokers, 44.4% current and 14.4% previous smokers at baseline. CD4+/viral load strata were poor in 3.4%, intermediate in 44.8% and good in 51.8%. There were 513 incident cancers; incidence rate 6.9/1000 person-years of follow-up (PYFU) [95% confidence interval (95% CI) 6.3-7.5]. Current smokers had higher incidence of all cancer (adjusted incidence rate ratio 1.45; 1.17-1.79), NADC (1.65; 1.31-2.09), SRC (2.21; 1.53-3.20) and IRC (1.38; 0.97-1.96) vs. never smokers. Those with poor CD4+/viral load had increased incidence of all cancer (5.36; 95% CI 3.71-7.75), NADC (3.14; 1.92-5.14), SRC (1.82; 0.76-4.41) and IRC (10.21; 6.06-17.20) vs. those with good CD4+/viral load. There was no evidence that the association between smoking and cancer subtypes differed depending on the CD4+/viral load strata (P > 0.1, test for interaction).

CONCLUSION

In the large RESPOND consortium, the impact of smoking on cancer was clear and reducing smoking rates should remain a priority. The association between current immune deficiency, virological control and cancer was similar for never smokers, current smokers and previous smokers suggesting similar carcinogenic effects of smoking regardless of CD4+ cell count and viral load.

Addressing tobacco smoking and drinking to improve TB treatment outcomes, in South Africa: a feasibility study of the ProLife program

Alcohol and tobacco use may lead to negative treatment outcomes in tuberculosis (TB) patients, and even more so if they are HIV-infected. We developed and tested the feasibility of a complex behavioral intervention (ProLife) delivered by lay health workers (LHWs) to improve treatment outcomes in TB patients who smoke tobacco and/or drink alcohol, at nine clinics in South Africa. The intervention comprised three brief motivational interviewing (MI) sessions augmented with a short message service (SMS) program, targeting as appropriate: tobacco smoking, harmful or hazardous drinking and medication adherence. Patients received SMSs twice a week. We measured recruitment and retention rates and assessed fidelity to the MI technique (MI Treatment Integrity 4.1 tool). Finally, we explored LHWs' and patients' experiences through interviews and semi-structured questionnaires, respectively. We screened 137 TB patients and identified 14 smokers, 13 alcohol drinkers, and 18 patients with both behaviors. Participants' mean age was 39.8 years, and 82.2% were men. The fidelity assessments pointed to the LHWs' successful application of key MI skills, but failure to reach MI competency thresholds. Nevertheless, most patients rated the MI sessions as helpful, ascribed positive attributes to their counselors, and reported behavioral changes. SMSs were perceived as reinforcing but difficult language and technical delivery problems were identified as problems. The LHWs' interview responses suggested that they (a) grasped the basic MI spirit but failed to understand specific MI techniques due to insufficient training practice; (b) perceived ProLife as having benefitted the patients (as well as themselves); (c) viewed the SMSs favorably; but (d) considered limited space and privacy at the clinics as key challenges. The ProLife program targeting multiple risk behaviors in TB patients is acceptable but LHW training protocol, and changes in wording and delivery of SMS are necessary to improve the intervention. Trial registration: ISRCTN62728852.

Improved clinical outcomes among persons with HIV who quit smoking

Quitting smoking among people living with HIV/AIDS (PLWHA) is a priority. However, PLWHA and clinicians working with PLWHA are reluctant to use tobacco use treatments out of concern that smoking cessation can diminish anti-retroviral therapy (ART) adherence and quality of life (QoL) and increase psychiatric symptoms. This secondary analysis from a placebo-controlled varenicline trial for tobacco dependence among PLWHA (N = 179) examined if smoking cessation at the end of treatment (EOT) was associated with changes in ART adherence, QoL, anxiety and depression symptoms, and varenicline side effects. ART adherence was not affected by smoking cessation (p > 0.05), remaining ≥98% for all participants. Across 8 QoL subscales, 7 remained unchanged over time across smokers and abstainers; side effects were not associated with cessation. Controlling for baseline smoking rate, adherence to varenicline/placebo and counseling, and treatment arm, participants who had quit smoking at EOT reported a significant reduction in depression (β = -1.657, 95% CI: -2.893, -0.422, p = .009) and anxiety (β = -1.434, 95% CI: -2.812, -0.56, p = .041) and increased life satisfaction (β = 0.88, 95% CI: 0.21, 3.275, p = .027). When PLWHA quit smoking they may not experience adverse clinical outcomes including ART non-adherence and may experience beneficial psychological effects, supporting the use of FDA-approved smoking cessation treatments among PLWHA.

The association between a detectable HIV viral load and non-communicable diseases comorbidity in HIV positive adults on antiretroviral therapy in Western Cape, South Africa

BACKGROUND

Past studies have found a relationship between detectable HIV viral load and non-communicable diseases (NCDs) in HIV-infected individuals on antiretroviral therapy in high-income settings, however there is little research in South Africa. Our objective was to investigate the association between detectable HIV viral load and prevalent NCDs in a primary health centre in peri-urban South Africa.

METHODS

HIV-infected adults (aged ≥25) who had been on antiretroviral therapy for ≥ six months and attended the HIV clinic within a primary health centre in Khayelitsha, Cape Town, were recruited. We recorded participants' demographics, HIV characteristics, the presence of NCDs via self-report, from clinic folders and from measurement of their blood pressure on the day of interview. We used logistic regression to estimate the association between a detectable HIV viral load and NCD comorbidity.

RESULTS

We recruited 330 adults. We found no association between a detectable HIV viral load and NCD comorbidity. Within our multivariable model, female gender (OR3·26; p = 0·02) age > 35 (OR 0·40; p = 0·02) low CD4 count (compared to CD4 < 300 (reference category): CD4:300-449 OR 0·28; CD4:450-599 OR 0·12, CD4:≥600 OR 0·12; p = < 0·001), and ever smoking (OR 3·95; p = < 0·001) were associated with a detectable HIV viral load. We found a lower prevalence of non-communicable disease in clinic folders than was self-reported. Furthermore the prevalence of hypertension measured on the day of interview was greater than that reported on self-report or in the clinic folders.

CONCLUSIONS

The lack of association between detectable viral load and NCDs in this setting is consistent with previous investigation in South Africa but differs from studies in high-income countries. Lower NCD prevalence in clinic records than self-report and a higher level of hypertension on the day than self-reported or recorded in clinic folders suggest under-diagnosis of NCDs in this population. This potential under-detection of NCDs may differ from a high-income setting and have contributed to our finding of a null association. Our findings also highlight the importance of the integration of HIV and primary care systems to facilitate routine monitoring for non-communicable diseases in HIV-infected patients.

Drug resistance evolution in patients with human immunodeficiency virus-1 under long-term antiretroviral treatment-failure in Yunnan Province, China

Background

Understanding the prevalence and evolution of HIV-1 drug resistance (DR) and associated mutation patterns is critical to implementing free antiretroviral therapy in Yunnan, the first antiretroviral treatment location in China. Here We provide a basis for understanding the occurrence and development of HIV-1 resistance in Yunnan and a theoretical foundational for strategy to delay HIV-1 drug resistance and achieve successful individualized treatment.

Methods

Plasma samples from different cities/prefectures were collected at Yunnan Provincial Hospital of Infectious Disease from January 2010 to September 2016, and those from drug-resistant individuals were genotyped using in-house assays, 88 patients were selected for the study who had been on treatment for ≥6 months (and for whom drug resistance was then measured), and each patient had at least 3 genotype resistance tests and who were enrolled to analyze mutation and evolution of HIV resistance.

Results

264 Pol sequences of 88 patients were obtained. Drug resistance levels to eight drugs increased to varying degrees with prolonged treatment. Resistance to efavirenz (EFV) and etravirine (ETR) showed the highest change, comparisons of resistant changes to second and first and to third and second agents showed altered level of drug resistance were 25 and 20 cases, 28 and 18 cases, respectively. The smallest change was Lopinavir/Ritonavir (LPV/r) present 2 and 3 cases; Resistance to lamivudine (3TC) and lopinavir/ritonavir (LPV/r) was high among patients detected thrice, whereas other drugs were distributed in all resistance levels. M184 V/I (26.14%), T69S (11.36%), and T215Y/I (10.23%) mutations were the most common in nucleoside reverse transcriptase inhibitors (NRTIs), and K103 N/R/S (21.59%), V179D/E (20.45%) in Non-NRTIs (NNRTIs). Furthermore, L10 V/F/I (6.82%), A71V (4.55%), and I54V (4.55%) mutations were common in protease inhibitors (PIs).

Conclusions

We found dynamic genotypic changes in HIV-1 drug-resistance in Yunnan, with prolonged treatment, and drug resistance was inevitable. However, resistance to different drugs occurred at varying times, and mutation site emergence was the main cause. These findings enhance our understanding of evolution and regulation, and are valuable for developing HIV-1 DR prevention strategies in Yunnan.

Content analysis of antiretroviral adherence enhancing interview reports

OBJECTIVE

To identify factors associated with low or high antiretroviral (ARV) adherence through computational text analysis of an adherence enhancing programme interview reports.

METHODS

Using text from 8428 interviews with 522 patients, we constructed a term-frequency matrix for each patient, retaining words that occurred at least ten times overall and used in at least six interviews with six different patients. The text included both the pharmacist's and the patient's verbalizations. We investigated their association with an adherence threshold (above or below 90%) using a regularized logistic regression model. In addition to this data-driven approach, we studied the contexts of words with a focus group.

RESULTS

Analysis resulted in 7608 terms associated with low or high adherence. Terms associated with low adherence included disruption in daily schedule, side effects, socio-economic factors, stigma, cognitive factors and smoking. Terms associated with high adherence included fixed medication intake timing, no side effects and positive psychological state.

CONCLUSION

Computational text analysis helps to analyze a large corpus of adherence enhancing interviews. It confirms main known themes affecting ARV adherence and sheds light on new emerging themes.

PRACTICE IMPLICATIONS

Health care providers should be aware of factors that are associated with low or high adherence. This knowledge should reinforce the supporting factors and try to resolve the barriers together with the patient.

The Role of Alcohol on Antiretroviral Therapy Adherence Among Persons Living With HIV in Urban India

OBJECTIVE

The purpose of this study was to estimate the prevalence of alcohol use among men living with HIV on antiretroviral therapy (ART) and examine the association of alcohol use and psychosocial variables on ART adherence. The study was a cross-sectional survey supplemented by medical records and qualitative narratives as a part of the initial formative stage of a multilevel, multicentric intervention and evaluation project.

METHOD

A screening instrument was administered to men living with HIV (n = 3,088) at four ART Centers using the Alcohol Use Disorders Identification Test-consumption questions (AUDIT-C) to determine alcohol use for study eligibility. Alcohol screening data were triangulated with medical records of men living with HIV (n = 15,747) from 13 ART Centers to estimate alcohol consumption among men on ART in greater Mumbai. A survey instrument to identify associations between ART adherence and alcohol, psychosocial, and contextual factors was administered to eligible men living with HIV (n = 361), and in-depth interviews (n = 55) were conducted to elucidate the ways in which these factors are manifest in men's lives.

RESULTS

Nearly one fifth of men living with HIV on ART in the Mumbai area have consumed alcohol in the last 30 days. Non-adherence was associated with a higher AUDIT score, consumption of more types of alcohol, and poorer self-ratings on quality of life, depression, and external stigma. The qualitative data demonstrate that non-adherence results from avoiding the mixing of alcohol with medication, forgetfulness when drinking, and skipping medication for fear of disclosure of HIV status when drinking with friends.

CONCLUSIONS

As the demand for ART expands, Indian government programs will need to more effectively address alcohol to reduce risk and maintain effective adherence.

Cigarette Smoking and Antiretroviral Therapy (ART) Adherence in a Sample of Heavy Drinking HIV-Infected Men Who Have Sex with Men (MSM)

Cigarette smoking and heavy alcohol use is prevalent among HIV-infected men who sex with men (MSM) and have been linked to imperfect antiretroviral therapy (ART) adherence. Our study examined the correlates of smoking and whether smoking was independently associated with imperfect adherence in heavy-drinking HIV-infected MSM. Of the 185 participants, approximately half (n = 91, 49.2 %) reported having smoked cigarettes in the past 30 days. Current smokers were more likely to have reported imperfect adherence compared to non-smokers (37.4.2 vs. 22.3 %, p < 0.05). In multivariable regression analyses, only lower education was significantly associated with imperfect adherence. This study demonstrated that the greatest risk factor for smoking and imperfect ART adherence was low socioeconomic status, in which MSM of color were over-represented. As the first study to examine smoking and ART adherence in this population, our study has the potential to inform the clinical care provided to heavy-drinking MSM.

Tobacco use among people living with HIV: analysis of data from Demographic and Health Surveys from 28 low-income and middle-income countries

BACKGROUND

Tobacco use among people living with HIV results in excess morbidity and mortality. However, very little is known about the extent of tobacco use among people living with HIV in low-income and middle-income countries (LMICs). We assessed the prevalence of tobacco use among people living with HIV in LMICs.

METHODS

We used Demographic and Health Survey data collected between 2003 and 2014 from 28 LMICs where both tobacco use and HIV test data were made publicly available. We estimated the country-specific, regional, and overall prevalence of current tobacco use (smoked, smokeless, and any tobacco use) among 6729 HIV-positive men from 27 LMICs (aged 15-59 years) and 11 495 HIV-positive women from 28 LMICs (aged 15-49 years), and compared them with those in 193 763 HIV-negative men and 222 808 HIV-negative women, respectively. We estimated prevalence separately for males and females as a proportion, and the analysis accounted for sampling weights, clustering, and stratification in the sampling design. We computed pooled regional and overall prevalence estimates through meta-analysis with the application of a random-effects model. We computed country, regional, and overall relative prevalence ratios for tobacco smoking, smokeless tobacco use, and any tobacco use separately for males and females to study differences in prevalence rates between HIV-positive and HIV-negative individuals.

FINDINGS

The overall prevalence among HIV-positive men was 24·4% (95% CI 21·1-27·8) for tobacco smoking, 3·4% (1·8-5·6) for smokeless tobacco use, and 27·1% (22·8-31·7) for any tobacco use. We found a higher prevalence in HIV-positive men of any tobacco use (risk ratio [RR] 1·41 [95% CI 1·26-1·57]) and tobacco smoking (1·46 [1·30-1·65]) than in HIV-negative men (both p<0·0001). The difference in smokeless tobacco use prevalence between HIV-positive and HIV-negative men was not significant (1·26 [1·00-1·58]; p=0·050). The overall prevalence among HIV-positive women was 1·3% (95% CI 0·8-1·9) for tobacco smoking, 2·1% (1·1-3·4) for smokeless tobacco use, and 3·6% (95% CI 2·3-5·2) for any tobacco use. We found a higher prevalence in HIV-positive women of any tobacco use (RR 1·36 [95% CI 1·10-1·69]; p=0·0050), tobacco smoking (1·90 [1·38-2·62]; p<0·0001), and smokeless tobacco use (1·32 [1·03-1·69]; p=0·030) than in HIV-negative women.

INTERPRETATION

The high prevalence of tobacco use in people living with HIV in LMICs mandates targeted policy, practice, and research action to promote tobacco cessation and to improve the health outcomes in this population.

FUNDING

South African Medical Research Council and the UK Medical Research Council.

Sex Differences in Tobacco Use Among Persons Living With HIV/AIDS: A Systematic Review and Meta-Analysis

BACKGROUND

Persons living with HIV/AIDS (PLWH) smoke at higher rates than other adults and experience HIV-related and non-HIV-related adverse smoking consequences. This study conducted a systematic review to synthesize current knowledge about sex differences in smoking behaviors among PLWH.

METHODS

Over 3000 abstracts from MEDLINE were reviewed and 79 publications met all the review inclusion criteria (ie, reported data on smoking behaviors for PLWH by sex). Sufficient data were available to conduct a meta-analysis for one smoking variable: current smoking prevalence.

RESULTS

Across studies (n = 51), the meta-analytic prevalence of current smoking among female PLWH was 36.3% (95% confidence interval [CI]: 28.0% to 45.4%) and male PLWH was 50.3% (95% CI: 44.4% to 56.2%; meta-analytic odds ratio = 1.78, 95% CI: 1.29 to 2.45). When analyses were repeated just on the US studies (n = 23), the prevalence of current smoking was not significantly different for female PLWH (55.1%, 95% CI: 47.6% to 62.5%) compared with male PLWH (55.5%, 95% CI: 48.2% to 62.5%; meta-analytic odds ratio = 1.04, 95% CI: 0.86 to 1.26). Few studies reported data by sex for other smoking variables (eg, quit attempts, noncigarette tobacco product use) and results for many variables were mixed.

DISCUSSION

Unlike the general US population, there was no difference in smoking prevalence for female versus male PLWH (both >50%) indicating that HIV infection status was associated with a greater relative increase in smoking for women than men. More research is needed in all areas of smoking behavior of PLWH to understand similarities and differences by sex to provide the best interventions to reduce the high smoking prevalence for all sexes.