Is It Feasible to Impact on Smoking Habits in HIV-Infected Patients? Mission Impossible From the STOPSHIV Project Cohort

Determinants of hemoglobin level and time to default from Highly Active Antiretroviral Therapy (HAART) for adult clients living with HIV under treatment; a retrospective cohort study design

HIV/AIDS is one of the most devastating infectious diseases affecting humankind all over the world and its impact goes beyond public health problems. This study was conducted to investigate the joint predictors of hemoglobin level and time to default from treatment for adult clients living with HIV/AIDS under HAART at the University of Gondar Comprehensive and Specialized Hospital, North-west Ethiopia. The study was conducted using a retrospective cohort design from the medical records of 403 randomly selected adult clients living with HIV whose follow-ups were from September 2015 to March 2022. Hemoglobin level was projected using Sahli's acid-hematin method. Hence, the hemoglobin tube was filled with N/10 hydrochloric acid up to 2 g % marking and the graduated tube was placed in Sahli's hemoglobin meter. The blood samples were collected using the finger-pick method, considering 22 G disposable needles. The health staff did this. From a total of 403 adult patients living with HIV/AIDS included in the current study, about 44.2% defaulted from therapy. The overall mean and median estimated survival time of adult clients under study were 44.3 and 42 months respectively. The patient's lymphocyte count (AHR = 0.7498, 95% CI: (0.7411: 0.7587), p-value < 0.01), The weight of adult patients living with HIV/AIDS (AHR = 0.9741, 95% CI: (0.9736: 0.9747), p-value = 0.012), sex of adult clients (AHR = 0.6019, 95% CI: (0.5979, 0.6059), p-value < 0.01), WHO stages III compared to Stage I (AHR = 1.4073, 95% CI: (1.3262, 1.5078), p-value < 0.01), poor adherence level (AHR = 0.2796, 95% CI: (0.2082, 0.3705) and p-value < 0.01), bedridden patients (AHR = 1.5346, 95% CI: (1.4199, 1.6495), p-value = 0.008), and opportunistic infections (AHR = 0.2237, 95% CI: (0.0248, 0.4740), p-value = 0.004) had significant effect on both hemoglobin level and time to default from treatment. Similarly, other co-morbidity conditions, disclosure status of the HIV disease, and tobacco and alcohol addiction had a significant effect on the variables of interest. The estimate of the association parameter in the slope value of Hgb level and time default was negative, indicating that the Hgb level increased as the hazard of defaulting from treatment decreased. A patient with abnormal BMI like underweight, overweight, or obese was negatively associated with the risk of anemia (lower hemoglobin level). As a recommendation, more attention should be given to those patients with abnormal BMI, patients with other co-morbidity conditions, patients with opportunistic infections, and low lymphocytes, and bedridden and ambulatory patients. Health-related education should be given to adult clients living with HIV/AIDS to be good adherents for medical treatment.

Factors Influencing Tobacco Smoking and Cessation Among People Living with HIV: A Systematic Review and Meta-analysis

Tobacco smoking is highly prevalent among people living with HIV (PLWH), yet there is a lack of data on smoking behaviours and effective treatments in this population. Understanding factors influencing tobacco smoking and cessation is crucial to guide the design of effective interventions. This systematic review and meta-analysis of studies conducted in both high-income (HICs) and low- and middle-income countries (LMICs) synthesised existing evidence on associated factors of smoking and cessation behaviour among PLWH. Male gender, substance use, and loneliness were positively associated with current smoking and negatively associated with smoking abstinence. The association of depression with current smoking and lower abstinence rates were observed only in HICs. The review did not identify randomised controlled trials conducted in LMICs. Findings indicate the need to integrate smoking cessation interventions with mental health and substance use services, provide greater social support, and address other comorbid conditions as part of a comprehensive approach to treating tobacco use in this population. Consistent support from health providers trained to provide advice and treatment options is also an important component of treatment for PLWH engaged in care, especially in LMICs.

HCV Cure and Cannabis Abstinence Facilitate Tobacco Smoking Quit Attempts in HIV-HCV Co-Infected Patients (ANRS CO13 HEPAVIH Cohort Study)

In Western countries, tobacco smoking is highly prevalent among patients co-infected with HIV and hepatitis C virus (HCV). In the era of antiretrovirals and HCV cure, smoking-related health damages contribute greatly to morbidity and mortality in HIV-HCV co-infected patients. We used longitudinal data from the ANRS CO13 HEPAVIH cohort to identify the correlates of tobacco smoking quit attempts (TSQA) in HIV-HCV co-infected patients. TSQA were modelled using a multivariable discrete-time Cox proportional hazards model in 695 HIV-HCV co-infected tobacco smokers. HCV cure was associated with a 76% higher chance of TSQA (adjusted hazard ratio [95% confidence interval]: 1.76 [1.06-2.93], p = 0.029), and cannabis use with a 37% lower chance (0.63 [0.40-1.00], p = 0.049), independently of the mode of HIV transmission, other psychoactive substance use, and body mass index. Patients should be screened for tobacco and cannabis use at HCV treatment initiation and during follow-up. They should also be provided with comprehensive counselling and referral to addiction services. Non-smoking routes of cannabis administration should be promoted for cannabis users who wish to quit smoking tobacco.

Metabolic syndrome and body weight in people living with HIV infection: analysis of differences observed in three different cohort studies over a decade

OBJECTIVES

The aim of this study was to assess the incidence of being overweight and metabolic syndrome (MS) among people living with HIV (PHIV) in three different cross-sectional studies conducted over three different periods: 2005, 2011 and 2015.

METHODS

This was a multi-centre, nationwide study. Data were collected in three studies from the CISAI group - SIMOne, HIV-HY and STOPSHIV - and included a total of 3014 PHIV. Logistic regression [odds ratio (OR), 95% confidence interval (CI)] was used to account for age and gender difference among three groups when comparing MS prevalence and being overweight; potential confounders were accounted for by including them in the regression equation.

RESULTS

Overall, the mean age was 46.9 ± 10.2 years, and men comprised 73.3% of participants. Comparing 2005, 2011 and 2015, MS was present in 34.5%, 33.0% and 29.3% of PHIV, respectively. Adjusted OR for MS was 0.64 (95% CI: 0.52-0.78) in 2011 and 0.56 (95% CI: 0.46-0.69) in 2015 compared with 2005, while BMI (kg/m² ) increased from 23.6 in 2005, 24.5 in 2011 and 24.5 in 2015, with a concomitant increase of being overweight from 29.4% to 39.5% to 39.6% (p < 0.0001).

CONCLUSIONS

In recent years, PHIV have had a significantly improved metabolic profile compared with previously, despite increasing weight and BMI.

Smoking habits in HIV-infected people compared with the general population in Italy: a cross-sectional study

Background

Tobacco use is a leading cause of preventable diseases and death for all individuals, even more so for people living with HIV (PLWH), due to their status of chronic inflammation. To date, in Italy no study was performed to compare smoking habits in PLWH and the general population. We aimed to investigate smoking habits in PLWH, as compared to the general population.

Methods

Multi-center cross-sectional study. Smoking habits were compared between PLWH and the general population. PLWH were enrolled in the STOPSHIV Study. The comparison group from the general population was derived from a survey performed by the National Statistics Institute (ISTAT), with a stratified random sampling procedure matching 2:1 general population subjects with PLWH by age class, sex, and macro-area of residence.

Results

The total sample consisted of 1087 PLWH (age 47.9 ± 10.8 years, male 73.5%) and 2218 comparable subjects from the general population. Prevalence of current smokers was 51.6% vs 25.9% (p < 0.001); quitting smoking rate was 27.1% vs. 50.1% (p < 0.001) and the mean number of cigarettes smoked per day was 15.8 vs. 11.9 (p < 0.001), respectively for PLWH and the general population. Smoking and heavy smoking rates amongst PLWH were significantly higher even in subjects who reported diabetes, hypertension and extreme obesity (p < 0.001). Logistic regressions showed that PLWH were more likely current smokers (adjusted Odds Ratio, aOR = 3.11; 95% Confidence Interval (CI) =2.62–3.71; p < 0.001) and heavy smokers (> 20 cigarettes per day) (aOR = 4.84; 95% CI = 3.74–6.27; p < 0.001). PLWH were less likely to have quitted smoking (aOR = 0.36; 95% CI = 0.29–0.46; p < 0.001).

Conclusion

HIV-infected patients showed a higher rate of current smokers, a larger number of cigarettes smoked and a lower quitting rate than the general population. Our findings emphasize the need for smoking cessation strategies targeting HIV persons.