Estimated risk of cardiovascular disease among the HIV-positive patients aged 40 years or older in Taiwan

Comparison of Four Predictive Scores for Cardiovascular Risk in Mexican People with HIV

Persons with HIV (PWH) face an increased risk of cardiovascular events due to immune activation, comorbidities, and certain antiretrovirals (ARVs). However, the current cardiovascular risk (CVR) scores are not specifically directed toward PWH. This study aimed to assess the agreement between different predictive CVR scores and explore their relationship with clinical and demographic data in Mexican PWH. A descriptive cross-sectional analysis was conducted in 200 PWH with a mean age of 42 years who were treated at a Mexican urban center from 2017 to 2018. The majority (83%) was on ARV treatment and 79.5% had undetectable viral loads (VLs). Moderate- to high-risk scores were infrequent, with Framingham Risk Score for Hard Coronary Heart Disease scores showing higher values, with very low concordance among all scores. Logistic regression analysis revealed significant associations between the CVR scores and the initial recorded VL, CD4 cell count, and elevated triglyceride levels. However, no associations were found with measures such as body mass index or abdominal circumference. Treatment with integrase strand transfer inhibitors (INSTIs), particularly first-generation inhibitors, showed strong associations with all predictive scores, notably ASCVD (odds ratio = 7.03, 95% confidence interval 1.67-29.64). The poor concordance among the CVR scores in PWH highlights the need for a specific score that considers comorbidities and ARV drugs. Despite the relatively young age of the participants, significant correlations were observed between INSTI use, initial VL, CD4 cell count, and triglyceride levels, which are factors not considered in the existing risk scores. Regardless of the actual value of the scores, screening for CVR in PWH is recommended.

Changes in atherosclerotic cardiovascular disease risk over time among people living with HIV

OBJECTIVE

To describe changes in atherosclerotic cardiovascular disease (ASCVD) risk over time among people living with HIV (PLHIV).

METHODS

We used data from the TREAT Asia HIV Observational Database (TAHOD) and the Australian HIV Observational Database (AHOD). Five-year ASCVD risk was calculated using the D:A:D equation. Individuals were eligible for inclusion if they were aged ≥18 years, had started ART, had no previous history of ASCVD and had complete ASCVD risk factor data available within the first 5 years of ART initiation.

RESULTS

A total of 3368 adults contributed data, 3221 were from TAHOD and 147 were from AHOD. The median age at ART initiation was 36 [IQR 31-43] years for TAHOD participants, and 42 [IQR 35-50] years for AHOD participants. Most TAHOD (70.4%) and AHOD (91.8%) participants were male. Overall, ASCVD risk increased from 0.84% (95% CI 0.81%-0.87%) at ART initiation to 1.34% (95% CI 1.29%-1.39%) after 5 years on ART. After adjusting for traditional and HIV-associated ASCVD risk factors, ASCVD risk increased at a similar rate among sub-populations defined by HIV exposure (heterosexuals, men who have sex with men, people who inject drugs), race/ethnicity (Caucasian and Asian) and nadir CD4 at ART initiation (<200 and ≥200 cells/mm3).

CONCLUSIONS

These findings emphasize the growing burden of ASCVD risk among PLHIV and the need to develop interventions that are effective across a broad range of HIV sub-populations.

Polypharmacy and potential drug-drug interactions among people living with HIV in the era of integrase strand transfer inhibitor-based antiretroviral therapy

OBJECTIVES

To investigate the prevalence of polypharmacy and potential drug-drug interactions (DDIs), and the factors associated with DDIs among people living with human immunodeficiency virus (HIV; PLWH) in the modern era of antiretroviral therapy (ART).

METHODS

This cross-sectional study included PLWH who had been on ART for ≥3 months at two designated HIV hospitals in Taiwan. All ART and non-ART prescriptions were collected from the NHI-MediCloud System and screened for DDIs using the University of Liverpool HIV drug interactions database. A case-control analysis was conducted to investigate the factors associated with DDIs.

RESULTS

In total, 1007 PLWH were included in this study from June 2021 to August 2022. The median age was 40 (interquartile range 33-49) years, and 96.2% were taking integrase strand transfer inhibitor (INSTI)-based ART. The proportions of PLWH with at least one non-communicable disease and polypharmacy were 50.0% and 18.7%, respectively. Seven (0.7%) PLWH had red-flagged DDIs, and 159 (15.8%) had amber-flagged DDIs. In multi-variable models, the prevalence of DDIs was associated with older age [adjusted odds ratio (aOR) per 1-year increase 1.022), number of co-medications (aOR 1.097), use of boosted INSTI-based ART (vs unboosted INSTI, aOR 8.653), and concomitant medications in the alimentary tract and metabolism category (aOR 11.058) and anti-neoplastic and immunomodulating agents (aOR 14.733).

CONCLUSIONS

In the INSTI era, the prevalence of potential DDIs is lower than noted previously, but remains substantial. Clinicians should monitor DDIs routinely, especially in older PLWH, those taking a higher number of co-medications, and those who are taking booster-containing ART or medications from specific categories.

Effect of immunological non-response on incidence of Non-AIDS events in people living with HIV: A retrospective multicenter cohort study in Taiwan

BACKGROUND

People living with HIV (PLWH) are susceptible to non-AIDS-related events, particularly those with immunological nonresponses (INRs) to highly active antiretroviral therapy (HAART). This study assessed the association of INRs with incident non-AIDS-related events among PLWH.

METHODS

This multicenter retrospective cohort study enrolled PLWH who had newly diagnosed stage 3 HIV and received HAART between January 1, 2008, and December 31, 2019. The patients were divided into two groups according to their immunological responses on the 360th day after HAART initiation: INR and non-INR groups. Cox regression and sensitivity analyses were conducted to estimate the effects of INRs on overall and individual categories of non-AIDS-related events (malignancies, vascular diseases, metabolic disorders, renal diseases, and psychiatric disorders). Patient observation started on the 360th day after HAART initiation and continued until February 28, 2022, death, or an outcome of interest, whichever occurred first.

RESULTS

Among the 289 included patients, 44 had INRs. Most of the included patients were aged 26-45 years (69.55%) and were men who have sex with men (89.97%). Many patients received HIV diagnoses between 2009 and 2012 (38.54%). INRs (vs. non-INRs) were associated with composite non-AIDS-related events (adjusted hazard ratio [aHR] = 1.80; 95% confidence interval [CI]: 1.19-2.73) and metabolic disorders (aHR = 1.75; 95% CI: 1.14-2.68). Sensitivity analyses revealed consistent results for each Cox regression model for both composite non-AIDS-related events and metabolic diseases.

CONCLUSION

Clinicians should be vigilant and implement early intervention and rigorous monitoring for non-AIDS-related events in PLWH with INRs to HAART.

An efficient approach to estimate the risk of coronary artery disease for people living with HIV using machine-learning-based retinal image analysis

BACKGROUND

People living with HIV (PLWH) have increased risks of non-communicable diseases, especially cardiovascular diseases. Current HIV clinical management guidelines recommend regular cardiovascular risk screening, but the risk equation models are not specific for PLWH. Better tools are needed to assess cardiovascular risk among PLWH accurately.

METHODS

We performed a prospective study to determine the performance of automatic retinal image analysis in assessing coronary artery disease (CAD) in PLWH. We enrolled PLWH with ≥1 cardiovascular risk factor. All participants had computerized tomography (CT) coronary angiogram and digital fundus photographs. The primary outcome was coronary atherosclerosis; secondary outcomes included obstructive CAD. In addition, we compared the performances of three models (traditional cardiovascular risk factors alone; retinal characteristics alone; and both traditional and retinal characteristics) by comparing the area under the curve (AUC) of receiver operating characteristic curves.

RESULTS

Among the 115 participants included in the analyses, with a mean age of 54 years, 89% were male, 95% had undetectable HIV RNA, 45% had hypertension, 40% had diabetes, 45% had dyslipidemia, and 55% had obesity, 71 (61.7%) had coronary atherosclerosis, and 23 (20.0%) had obstructive CAD. The machine-learning models, including retinal characteristics with and without traditional cardiovascular risk factors, had AUC of 0.987 and 0.979, respectively and had significantly better performance than the model including traditional cardiovascular risk factors alone (AUC 0.746) in assessing coronary artery disease atherosclerosis. The sensitivity and specificity for risk of coronary atherosclerosis in the combined model were 93.0% and 93.2%, respectively. For the assessment of obstructive CAD, models using retinal characteristics alone (AUC 0.986) or in combination with traditional risk factors (AUC 0.991) performed significantly better than traditional risk factors alone (AUC 0.777). The sensitivity and specificity for risk of obstructive CAD in the combined model were 95.7% and 97.8%, respectively.

CONCLUSION

In this cohort of Asian PLWH at risk of cardiovascular diseases, retinal characteristics, either alone or combined with traditional risk factors, had superior performance in assessing coronary atherosclerosis and obstructive CAD.

SUMMARY

People living with HIV in an Asian cohort with risk factors for cardiovascular disease had a high prevalence of coronary artery disease (CAD). A machine-learning-based retinal image analysis could increase the accuracy in assessing the risk of coronary atherosclerosis and obstructive CAD.

High Concordance between D:A:Dr and the Framingham Risk Score in Brazilians Living with HIV

People living with HIV (PLHIV) have twice the risk of developing cardiovascular diseases, making it essential to identify high cardiovascular risk (CVR). However, there is no validated CVR calculator for PLHIV in Brazil. We performed a cross-sectional study with 265 individuals living with HIV, aged 40 to 74 years, to assess the agreement between three CVR scores: Framingham Risk Score (FRS), Atherosclerotic Cardiovascular Disease (ASCVD) Risk Score, and a specific for PLHIV, Reduced Data Collection on Adverse Effects of Anti-HIV Drugs (D:A:Dr). We assessed agreement using the weighted Kappa coefficient and the Bland-Altman plot. The median age was 52 years (47-58), 58.9% were men, 34% were hypertensive and 8.3% had a detectable viral load. There was an almost perfect agreement between D:A:Dr x FRS (k = 0.82; 95% CI 0.77-0.87; p < 0.001), and substantial agreement between FRS vs. ASCVD (k = 0.74; 95% CI 0.69-0.79; p < 0.001) and between D:A:Dr vs. ASCVD (k = 0.70; 95% CI 0.64-0.76; p < 0.001). The Bland-Altman plot revealed greater discordance between scores as the CVR increased. Our results suggest that the FRS and the D:A:Dr are adequate to classify the CVR in this population, and the D:A:Dr score can be used as an alternative to the FRS in Brazil, as other international guidelines have already advocated.

Older PLHIV are at Higher Cardiovascular Risk with Poor Quality of Life

BACKGROUND

People with HIV (PLHIV) face increased cardiovascular disease (CVD) risk due to inflammation and immune activation. Aging further amplifies this risk. Limited data exist on CVD risk in older PLHIV in India despite 2.14 million PLHIV with higher CVD risk factors.

METHODS

In a cross-sectional study in Bihar, India, 73 PLHIV and 30 control participants were enrolled. Demographics, social factors, clinical information, and CVD risk factors were collected. HbA1c levels and lipid profiles were analyzed, and 10-year CVD risk scores were calculated using the Framingham risk score (FRS) and Qrisk3. Quality of life (QoL) was assessed using WHOQOL- HIV-BREF.

RESULTS

Results showed higher LDL levels in non-HIV older participants and higher HDL levels in younger PLHIV participants. BMI differed significantly, with higher BMI in non-HIV older individuals and lower BMI in younger PLHIV individuals. Older PLHIV participants had significantly higher mean FRS and Q-Risk scores compared to older non-PLHIV and younger PLHIV groups. Among older PLHIV participants, six had higher CVD risk per FRS, while none in the other groups were classified as high CVD risk. Psychological, social relations and spirituality domains were highly deteriorated in older PLHIV, scoring 44.48, 42.72, and 41.2, respectively. The physical domain scored 57.6, and the environment scored 52.72 in the WHOQOL-HIV bref.

CONCLUSION

In conclusion, older PLHIV in Bihar, India, face higher CVD risk compared to younger PLHIV and non-HIV individuals. FRS and Q-Risk scores effectively assessed CVD risk, identifying higher risk in older PLHIV. Age and BMI were significant predictors of high CVD risk. These findings emphasize CVD risk assessment and tailored management for older PLHIV. The QoL assessment findings indicate moderate deterioration in psychological, social relations, and spirituality domains among older PLHIV individuals. These results suggest greater challenges in psychological well-being, social interactions, and spirituality compared to the overall sample. Further research with larger samples and longitudinal designs is needed to confirm and extend these findings.

Cardiovascular risk factors and comorbidities in people living with HIV: A cross-sectional multicenter study from Colombia comorbidities in a Colombian PLWHIV population

INTRODUCTION

HIV is an independent risk factor for cardiovascular diseases (CVD). There is insufficient information regarding comorbidities and cardiovascular risk factors in the Colombian HIV population. The aim of this study is to describe the prevalence of cardiovascular risk factors and comorbidities in patients from the HIV Colombian Group VIHCOL.

METHODS

This is a multicenter, cross-sectional study conducted in the VIHCOL network in Colombia. Patients 18 years or older who had at least 6 months of follow-up were included. A stratified random sampling was performed to estimate the adjusted prevalence of cardiovascular risk factors and comorbidities.

RESULTS

A total of 1616 patients were included. 83.2% were men, and the median age was 34 years. The adjusted prevalence for dyslipidemia, active tobacco use, hypothyroidism, and arterial hypertension was 51.2% (99% CI: 48.0%-54.4%), 7.6% (99% CI: 5.9%-9.3%), 7.4% (99% CI: 5.7%-9.1%), and 6.3% (99% CI: 4.8%-7.9%), respectively.

CONCLUSIONS

In this Colombian HIV cohort, there is a high prevalence of modifiable CVD risk factors such as dyslipidemia and active smoking. Non-pharmacological and pharmacological measures for the prevention and management of these risk factors should be reinforced.

Predicting the risk of atherosclerotic cardiovascular disease among adults living with HIV/AIDS in Addis Ababa, Ethiopia: A hospital-based study

Background

Atherosclerotic Cardiovascular Disease (ASCVD) is an emerging problem among People living with HIV/AIDS (PLWHA). The current study aimed at determining the risk of ASCVD among PLWHA using the Pooled Cohort Equation (PCE) and the Framingham Risk score (FRS).

Methods

A hospital-based study was carried out from January 2019 to February 2020 in PLWHA. The prevalence of ASCVD risk was determined in individuals aged between 20 to 79 and 40 to 79 years using the FRS and PCE as appropriate. Chi-square, univariate and multivariate logistic regressions were employed for analysis.

Results

The prevalence of high-risk ASCVD for subjects aged 20 and above using both tools was 11.5 %. For those aged 40 to 79 years, PCE yielded an increased risk (28%) than FRS (17.7%). Using both tools; advanced age, male gender, smoking, and increased systolic blood pressure were associated with an increased risk of ASCVD. Younger age (adjusted odds ratio, AOR) 0.20, 95%CI: 0.004, 0.091; P< 0.001), lower systolic blood pressure (AOR 0.221, 95%CI: 0.074, 0.605 P< 0.004), and lower total cholesterol (AOR 0.270, 95%CI: 0.073, 0.997; p<0.049) were found to be independent predictors of reduced risk of ASCVD. Likewise, younger age (40 to 64 years), female gender, and lower systolic blood pressure were significantly associated with lower risk of ASCVD among patients aged 40 to 79 years using both PCE and FRS.

Conclusions

A considerable number of PLWHA have been identified to be at risk for ASCVD. ASCVD risk was significantly associated with advanced age, male gender, higher blood pressure, and smoking using both FRS and PCE. These factors should therefore be taken into account for designing management strategies.

Managing cardiovascular risk in people living with HIV in Asia - where are we now?

As the life expectancy of people living with HIV (PLWH) approaches that of the general population, the burden of comorbidities such as cardiovascular disease (CVD) is increasing. Regardless of HIV status, about 50% of CVD deaths worldwide occur in Asia, and Asian PLWH have a high prevalence of conventional CVD risk factors, such as smoking, dyslipidaemia, hypertension and insulin resistance or diabetes. As well as conventional CVD risk factors, PLWH have HIV-specific risk factors such as chronic inflammation, immune activation and endothelial damage, as well as risk factors related to antiretroviral therapy. This review describes the current knowledge on the epidemiology and risk factors of CVD in Asian PLWH and provides an Asian perspective on the recommendations for managing CVD risk in PLWH.

Assessment of cardiovascular disease risks using Framingham risk scores (FRS) in HIV-positive and HIV-negative older adults in South Africa

The relationship between HIV and cardiovascular diseases (CVDs) remains complex. The aim of this study was to estimate the 10-year CVD risk among HIV-positive and HIV-negative people. The validated Framingham Risk Score (FRS) based on the Framingham Heart study was used to predict the CVD risk. Data for this analysis came from a 2016 cross-sectional study of South African community-dwelling older adults (≥50 years). Logistic regression models were constructed to assess the association between CVD risk and HIV. 403 respondents with a mean age 60 (SD = 6.7) years were enrolled, of whom 70% were female, 75% black African, 21.9% smokers, 77.2% never did any vigorous physical activity, and 17% were HIV-positive. The average 10-year CVD risk was 17%; significantly higher in men than women (23.2 vs 14.3%, p < 0.001). Overall, 33% had low CVD risk (FRS < 10%), 39% intermediate (FRS 10-19%) and 28% high risk (FRS ≥ 20%). Furthermore, participants who were HIV-positive were less likely than HIV-negative participants to have high CVD risk (aOR 0.27, 95% CI 0.11-0.66, p = 0.004). These findings of HIV-positive respondents having lower CVD risk than HIV-negative respondents could be due to three issues i) HIV-positive people having lesser cardio-metabolic disease risk factors; ii) possibly higher health care utilization by HIV-positive people; and/or iii) the neglect of HIV-negative people in HIV focused health systems. Periodic cardiovascular disease monitoring using tools like the Framingham Risk Scores is needed. Furthermore, studies with more robust designs are needed to further elucidate the relationship between HIV and CVD risks in HIV endemic sub-Saharan Africa.

A retrospective analysis of the care cascades for non-communicable disease and mental health among people living with HIV at a tertiary-care centre in Malaysia: opportunities to identify gaps and optimize care

INTRODUCTION

The rapidly growing epidemic of non-communicable diseases (NCDs) including mental health among aging people living with HIV (PLWH) has put a significant strain on the provision of health services in many HIV clinics globally. We constructed care cascades for specific NCDs and mental health among PLWH attending our centre to identify potential areas for programmatic improvement.

METHODS

This was a follow-up study of participants recruited in the Malaysian HIV & Aging study (MHIVA) from 2014 to 2016 at the University Malaya Medical Centre (n = 336). PLWH on suppressive antiretroviral therapy (ART) for a minimum of 12 months were invited to participate. At study entry, all participants underwent screening for diabetes (DM), hypertension (HTN) and dyslipidaemia; and completed assessments using the depression, anxiety and stress scale (DASS-21). Screening results were recorded in medical charts and clinical management provided as per standard of care. A subsequent review of medical records was performed at 24 months following study completion among participants who remained on active follow-up. Treatment pathways for NCD treatment and psychiatric referrals were assessed based on local practice guidelines to construct the care cascade.

RESULTS

A total of 329 participants (median age = 43 years, 83% male, 100% on ART) completed follow-up at 24 months. The prevalence of diabetes was 13%, dyslipidaemia 88% and hypertension 44%, whereas 23% presented with severe/extremely severe symptoms of depression, anxiety and/or stress. More than 50% of participants with dyslipidaemia and hypertension were not diagnosed until study screening, whereas over 80% with prevalent psychiatric symptoms were not previously recognized clinically. Suboptimal control of fasting lipids, sugar and blood pressure were found in the majority of participants despite optimal HIV treatment outcomes maintained over this same period. Only 32% of participants with severe/extremely severe mental health symptoms received psychiatric referrals and 83% of these attended their psychiatry clinic appointments.

CONCLUSIONS

Systematic screening must be introduced to identify NCDs and mental health issues among PLWH followed by proper linkage and referrals for management of screen-positive cases. Assessment of factors associated with attrition at each step of the care cascade is critically needed to improve health outcomes in our aging patients.