HIV-infected patients aged above 75years

Frailty in people living with HIV: an update

PURPOSE OF REVIEW

The HIV population is ageing with rising rates of frailty though strategies of how best to manage it remain ill-defined. It also remains unclear what the prevalence of frailty is within this cohort, how best to diagnose it and what factors are associated.

RECENT FINDINGS

The prevalence of frailty remains unclear because of heterogenous results. Routine screening in those 50+ is recommended and whilst the Fried Frailty Phenotype is currently preferred the Clinical Frailty Scale could be considered. No biomarkers are currently recommended. Looking at associated factors, HIV neurocognitive impairment and long-term alcohol usage has been shown to be associated with developing frailty whilst those who are frail have been shown to be less active and more likely to fall. NAFLD with fibrosis has been shown to be an indicator of metabolic age and the Pooled Cohort Equations has been shown to be more effective in diagnosing cardiovascular risk in frail people living with HIV.

SUMMARY

Whilst the prevalence of frailty differs between countries, with the addition of prefrailty, this represents a large proportion of people living with HIV. Services must ensure strategies are in place to support those living with HIV and frailty. Further longitudinal studies are required.

Physiologically-Based Pharmacokinetic Modeling Combined with Swiss HIV Cohort Study Data Supports No Dose Adjustment of Bictegravir in Elderly Individuals Living With HIV

Clinical studies in aging people living with HIV (PLWH) are sparse for the novel integrase inhibitor bictegravir, leading to some uncertainty about dosing recommendations for elderly PLWH. The objective of this study was to investigate the continuous impact of aging on bictegravir pharmacokinetics by combining clinically observed data with modeling to support a safe and efficient anti‐HIV therapy with advanced age. A physiologically‐based pharmacokinetic (PBPK) model was developed for bictegravir with clinically observed data from phase I studies. The predictive model performance was verified using bictegravir plasma concentrations sampled as part of the general therapeutic drug monitoring (TDM) program of the Swiss HIV Cohort Study in young (20–55 years) and elderly PLWH (55–85 years). The verified PBPK model subsequently predicted the continuous impact of aging on bictegravir pharmacokinetics across adulthood (20–99 years). Bictegravir exposure was unchanged in elderly compared with young PLWH when analyzing the TDM data of the Swiss HIV Cohort Study. PBPK simulations predicted clinically observed data from 60 young and 32 elderly PLWH mostly within the 95% confidence interval, demonstrating the predictive power of the used modeling approach. Simulations predicted drug exposure to increase up to 40% during adulthood, which was not statistically significantly different from the age‐related pharmacokinetic changes of other HIV and non‐HIV drugs. Sex had no impact on the age‐related changes of bictegravir pharmacokinetics. Considering the safety margin of bictegravir, a dose adjustment for the novel integrase inhibitor is a priori not necessary in elderly PLWH in the absence of severe comorbidities.

Comorbidities in people living with HIV: An epidemiologic and economic analysis using a claims database in France

OBJECTIVES

As people living with HIV (PLHIV) age, the burden of non-HIV related comorbidities increases resulting in additional healthcare costs. The present study aimed to describe the profile, the prevalence and the incremental costs of non-HIV related comorbidities in PLHIV compared to non-HIV matched controls (1:2 ratio) in France.

METHODS

The French permanent sample of health beneficiaries (Echantillon généraliste de bénéficiaires [EGB]), a claims database representative of the national population, was used to assess comorbidities in PLHIV which were identified by the ICD-10 diagnosis codes of hospitalization, full healthcare coverage, and drug reimbursements between 2011 and 2014. The control group was matched by year of birth, gender, region of residence, and economic status. Total costs of outpatient care and hospitalizations were analysed from a societal perspective. A general linear model was used to assess the incremental cost per patient in PLHIV.

RESULTS

A total of 1,091 PLHIV and 2,181 matched controls were identified with a mean ± standard deviation age of 46.7 ± 11.5 years. The prevalence of alcohol abuse (5.8% vs 3.1%; p<0.001), chronic renal disease (1.2% vs 0.3%; p = 0.003), cardiovascular disease (7.4% vs 5.1%; p = 0.009), dyslipidaemia (22% vs 15.9%; p<0.001), hepatitis B (3.8% vs 0.1%; p<0.001) and hepatitis C (12.5% vs 0.6%; p<0.001) was significantly higher in PLHIV compared with non-HIV controls. Other comorbidities such as anaemia, malnutrition, psychiatric diseases, and neoplasms were also more prevalent in PLHIV. Hospitalizations were significantly increased in PLHIV compared to controls (33.2% vs 16%; p<0.001). Mean total cost was 6 times higher for PLHIV compared to controls and 4 times higher after excluding antiretroviral drugs (9,952€ vs. 2,593€; p<0.001). Higher costs per person in PLHIV were significantly associated to aging (42€ per patient/year), chronic cardiovascular disease (3,003€), hepatitis C (6,705€), metastatic carcinoma (6,880€) and moderate or severe liver disease (6,299€).

CONCLUSION

Our results demonstrated an increase in non-HIV related comorbidities among PLHIV compared to matched controls. This study contributes to raise awareness on the burden of chronic comorbidities.

Clinical Data Combined With Modeling and Simulation Indicate Unchanged Drug-Drug Interaction Magnitudes in the Elderly

Age-related comorbidities and consequently polypharmacy are highly prevalent in the elderly, resulting in an increased risk for drug-drug interactions (DDIs). The effect of aging on DDI magnitudes is mostly uncertain, leading to missing guidance regarding the clinical DDI management in the elderly. Clinical data obtained in aging people living with HIV ≥ 55 years, who participated in the Swiss HIV Cohort Study, demonstrated unchanged DDI magnitudes with advanced aging for four studied DDI scenarios. These data plus published data for midazolam in the presence of clarithromycin and rifampicin in elderly individuals assessed the predictive potential of the used physiologically-based pharmacokinetic (PBPK) model to simulate DDIs in the elderly. All clinically observed data were generally predicted within the 95% confidence interval of the PBPK simulations. The verified model predicted subsequently the magnitude of 50 DDIs across adulthood (20-99 years) with 42 scenarios being only verified in adults aged 20-50 years in the absence of clinically observed data in the elderly. DDI magnitudes were not impacted by aging regardless of the involved drugs, DDI mechanism, mediators of DDIs, or the sex of the investigated individuals. The prediction of unchanged DDI magnitudes with advanced aging were proofed by 17 published, independent DDIs that were investigated in young and elderly subjects. In conclusion, this study demonstrated by combining clinically observed data with modeling and simulation that aging does not impact DDI magnitudes and thus, clinical management of DDIs can a priori be similar in aging men and women in the absence of severe comorbidities.

Effect of ageing on antiretroviral drug pharmacokinetics using clinical data combined with modelling and simulation

AIMS

The impact of ageing on antiretroviral pharmacokinetics remains uncertain, leading to missing dosing recommendations for elderly people living with human immunodeficiency virus (HIV: PLWH). The objective of this study was to investigate whether ageing leads to clinically relevant pharmacokinetic changes of antiretrovirals that would support a dose adjustment based on the age of the treated PLWH.

METHODS

Plasma concentrations for 10 first-line antiretrovirals were obtained in PLWH ≥55 years, participating in the Swiss HIV Cohort Study, and used to proof the predictive performance of our physiologically based pharmacokinetic (PBPK) model. The verified PBPK model predicted the continuous effect of ageing on HIV drug pharmacokinetics across adulthood (20-99 years). The impact of ethnicity on age-related pharmacokinetic changes between whites and other races was statistically analysed.

RESULTS

Clinically observed concentration-time profiles of all investigated antiretrovirals were generally within the 95% confidence interval of the PBPK simulations, demonstrating the predictive power of the modelling approach used. The predicted decline in drug clearance drove age-related pharmacokinetic changes of antiretrovirals, resulting in a maximal 70% [95% confidence interval: 40%, 120%] increase in antiretrovirals exposure across adulthood. Peak concentration, time to peak concentration and apparent volume of distribution were predicted to be unaltered by ageing. There was no statistically significant difference of age-related pharmacokinetic changes between studied ethnicities.

CONCLUSION

Dose adjustment for antiretrovirals based on the age of male and female PLWH is a priori not necessary in the absence of severe comorbidities considering the large safety margin of the current first-line HIV treatments.