Cost-utility analysis of lopinavir/ritonavir versus atazanavir + ritonavir administered as first-line therapy for the treatment of HIV infection in Italy: from randomised trial to real world

Big Data and Real-World Data based Cost-Effectiveness Studies and Decision-making Models: A Systematic Review and Analysis

Background: Big data and real-world data (RWD) have been increasingly used to measure the effectiveness and costs in cost-effectiveness analysis (CEA). However, the characteristics and methodologies of CEA based on big data and RWD remain unknown. The objectives of this study were to review the characteristics and methodologies of the CEA studies based on big data and RWD and to compare the characteristics and methodologies between the CEA studies with or without decision-analytic models. Methods: The literature search was conducted in Medline (Pubmed), Embase, Web of Science, and Cochrane Library (as of June 2020). Full CEA studies with an incremental analysis that used big data and RWD for both effectiveness and costs written in English were included. There were no restrictions regarding publication date. Results: 70 studies on CEA using RWD (37 with decision-analytic models and 33 without) were included. The majority of the studies were published between 2011 and 2020, and the number of CEA based on RWD has been increasing over the years. Few CEA studies used big data. Pharmacological interventions were the most frequently studied intervention, and they were more frequently evaluated by the studies without decision-analytic models, while those with the model focused on treatment regimen. Compared to CEA studies using decision-analytic models, both effectiveness and costs of those using the model were more likely to be obtained from literature review. All the studies using decision-analytic models included sensitivity analyses, while four studies no using the model neither used sensitivity analysis nor controlled for confounders. Conclusion: The review shows that RWD has been increasingly applied in conducting the cost-effectiveness analysis. However, few CEA studies are based on big data. In future CEA studies using big data and RWD, it is encouraged to control confounders and to discount in long-term research when decision-analytic models are not used.

Valutazione delle conseguenze epidemiologiche ed economiche generate dal ritardo di trattamento dei pazienti HIV-positivi causato dalla pandemia COVID-19

Objective:

To assess, from an epidemiological and economic point of view, the consequences of the reduction in the supply of antiretroviral drugs due to the COVID-19 pandemic.

Method:

The analysis was conducted by adapting a Markov model previously published in literature. The simulations were conducted considering the possibility of continuous treatment for patients already diagnosed (no therapeutic interruptions are expected) and an immediate start of patients with new diagnosis during 2021. This analysis was compared with a scenario involving a therapeutic interruption or diagnostic delay caused by COVID-19.

Results:

The analysis showed that the scenario characterized by a treatment delay, compared to the scenario of early resumption of therapy, could generate an increase in the number of patients with CD4 < 200 equal to 1,719 subjects (+16%) and a reduction in the number of patients with CD4 500 equal to 6,751 (−9%). A timely resumption of treatment for HIV+ patients could prevent 296, 454 and 687 deaths in the third, fifth and tenth years of analysis respectively with a potential cost reduction equal to 78,9 million at a 10 year time horizon.

Conclusions:

These findings show that it is essential, especially in a pandemic situation such as the present one, to introduce technological, digital and organizational solutions, aimed at promoting timely diagnosis and at accelerating the therapeutic switch for patients who are no longer targeted.

Long-term outcomes after revascularization and medical therapy in premature coronary artery disease for cost-effectiveness study: A systematic review protocol

BACKGROUND

The long-term outcomes are important concepts for cost-effectiveness analysis in patients with premature coronary artery disease after revascularization (coronary artery bypass grafting [CABG] and percutaneous coronary intervention [PCI]) and medical therapy (MT). The finding of this study will be used to calculate the events probabilities for cost-effectiveness study.

METHODS AND ANALYSIS

This systematic review will use studies in which patients age must be 18-60 years in eligible studies that obtained from PubMed, Web of Science, Scopus, and Embase. We will assess the long-term outcomes after CABG, PCI, and MT by random-effects meta-analysis and effects will be shown by risk ratio. We will ascertain the probabilities of adverse events during certain periods and then outcomes will compare separately based on specific characteristics.

CONCLUSION

This study will provide information related to outcomes of CABG, PCI, and MT in patients with premature coronary artery disease. Doing this systematic review is valuable from clinically and economically aspects such as cost-effectiveness and cost-utility analysis.

Cost-Effectiveness of Three Alternative Boosted Protease Inhibitor-Based Second-Line Regimens in HIV-Infected Patients in West and Central Africa

BACKGROUND

While dolutegravir has been added by WHO as a preferred second-line option for the treatment of HIV infection, boosted protease inhibitor (bPI)-based regimens are still needed as alternative second-line options. Identifying optimal bPI-based second-line combinations is essential, given associated high costs and funding constraints in low- and middle-income countries. We assessed the cost-effectiveness of three alternative bPI-based second-line regimens in Burkina Faso, Cameroon and Senegal.

METHODS

We used data collected over 2010-2015 in the 2LADY trial/post-trial cohort. Patients with first-line antiretroviral therapy (ART) failure were randomly assigned to tenofovir/emtricitabine + lopinavir/ritonavir (TDF/FTC LPV/r; arm A), abacavir + didanosine + lopinavir/ritonavir (arm B), or tenofovir/emtricitabine + darunavir/ritonavir (arm C). Costs (US dollars, 2016), quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios were computed for each country over 24 months of follow-up and extrapolated to 5 years using a simulated patient-level Markov model. We assessed uncertainty using cost-effectiveness acceptability curves, scenarios and prices threshold analysis.

RESULTS

In each country, over 24 months, arm A was significantly less costly than arms B and C (incremental costs ranging from US$410-$US721 and US$468-US$546 for B and C vs A, respectively) and offered similar health benefits (incremental QALY: - 0.138 to 0.023 and - 0.179 to 0.028, respectively). Over 5 years, arm A remained the least costly, health benefits not being significantly different between arms. Compared with arms B and C, in each study country, Arm A had a ≥ 95% probability of being cost-effective for a large range of cost-effectiveness thresholds, irrespective of the scenario considered.

CONCLUSIONS

Using TDF/FTC LPV/r as a bPI-based second-line regimen provided the best economic value in the three study countries.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT00928187.

Health Care Costs in a Cohort of HIV-Infected U.S. Veterans Receiving Regimens Containing Tenofovir Disoproxil Fumarate/Emtricitabine

BACKGROUND

Tenofovir disoproxil fumarate (TDF), a key component in many human immunodeficiency virus (HIV) treatment regimens, is associated with increased renal and bone toxicities. The contributions of such toxicities to treatment costs, as well as the relative differences in treatment costs for various TDF/emtricitabine (FTC) regimens, remains unexplored.

OBJECTIVE

To estimate and compare mean overall and renal- and bone-specific costs, including total, inpatient, outpatient, and pharmacy costs in patients treated with TDF/FTC+efavirenz (EFV) compared with several non-EFV-containing TDF/FTC regimens.

METHODS

We conducted a national cohort study of treatment-naive HIV-infected U.S. veterans who initiated treatment from 2003 to 2015 with TDF/FTC in combination with EFV, elvitegravir/cobicistat, rilpivirine, or ritonavir-boosted protease inhibitors (atazanavir, darunavir, or lopinavir). Outcomes of interest were quarterly total, inpatient, outpatient, and pharmacy costs using data from the Veterans Health Administration (VHA) electronic medical record and Managerial Cost Accounting System (an activity-based accounting system that allocates VHA expenditures to patient encounters). We controlled for measured confounders using inverse probability of treatment (IPT) weights and assessed differences using standardized mean differences (SMDs). For comparisons where SMDs exceeded 0.1 after IPT weighting, we used the more conservative matching weights in sensitivity analyses. For hypothesis testing, we compared IPT-adjusted differences in quarterly costs between treatment groups using Mann-Whitney U-tests and generalized estimating equation (GEE) regression models.

RESULTS

Of 33,048 HIV-positive veterans, 7,222 met eligibility criteria, including 4,172 TDF/FTC + EFV recipients; mean (SD) age of the cohort was 50.0 (10.0) years; 96.7% were male; 60.1% were black; and 30.1% were white. Quarterly periods of exposure to EFV-containing regimens were 22,499 and of exposure to non-EFV-containing regimens were 11,633. After IPT weighting, absolute SMDs were < 0.1 except for a few covariates in the rilpivirine comparison. The per-patient adjusted mean total quarterly costs were $7,145 for EFV versus $8,726 for non-EFV (P < 0.001; Mann-Whitney U-test) and the per-patient adjusted mean difference in total quarterly costs was $1,419 lower for EFV versus all non-EFV combined (P < 0.001; GEE model). Corresponding values for outpatient costs ($2,656 vs. $2,942; P < 0.001; difference, -$254; P = 0.001), inpatient costs ($2,009 vs. $2,614; P < 0.001), radiology costs ($213 vs. $276; P < 0.001), and pharmacy costs ($2,480 vs. $3,170; P < 0.001; difference, -$600; P < 0.001) were all lower for EFV versus all non-EFV combined. Findings based on matching weights were qualitatively similar. Contributions of renal and bone costs to the total costs of treatment were very small, ranging between $52 and $94 per patient per quarter for renal outcomes and between $6 and $114 for bone outcomes.

CONCLUSIONS

Among 7,222 HIV-treated veterans over an average follow-up of 1.2 years per patient, those patients receiving TDF/FTC + EFV had lower overall health care costs compared with those receiving non-EFV regimens.

DISCLOSURES

This study was funded by Bristol-Myers Squibb. Nelson, Ma, Crook, Knippenberg, Nyman, and LaFleur are employees of the University of Utah, which received a grant from Bristol-Myers Squibb to conduct this study. Nyman also discloses honoraria for consulting from Otsuka and for writing a book chapter from Fresenius. La Fleur reports advisory board and consulting fees from Bristol-Myers Squibb outside of this study. Paul and Esker are employees of, and own stock in, Bristol-Myers Squibb.

Risks associated with antiretroviral treatment for human immunodeficiency virus (HIV): qualitative analysis of social media data and health state utility valuation

Purpose

Despite benefits of antiretroviral therapies (ART), people with HIV infection have increased risk of cardiovascular disease, kidney disease, and low bone mineral density. Some ARTs increase risk of these events. The purpose of this study was to examine patients’ perspectives of these risks and estimate health state utilities associated with these risks for use in cost-utility models.

Methods

Qualitative thematic analysis was conducted to examine messages posted to the POZ/AIDSmeds Internet community forums, focusing on bone, kidney, and cardiovascular side effects and risks of HIV/AIDS medications. Then, health state vignettes were drafted based on this qualitative analysis, literature review, and clinician interviews. The health states (representing HIV, plus treatment-related risks) were valued in time trade-off interviews with general population participants in the UK.

Results

Qualitative analysis of the Internet forums documented patient concerns about ART risks, as well as treatment decisions made because of these risks. A total of 208 participants completed utility interviews (51.4% female; mean age 44.6 years). The mean utility of the HIV health state (virologically suppressed, treated with ART) was 0.86. Adding a description of risk resulted in statistically significant disutility (i.e., utility decreases): renal risk (disutility = −0.02), bone risk (−0.03), and myocardial infarction risk (−0.05).

Conclusions

Patient concerns and treatment decisions were documented via qualitative analysis of Internet forum discussions, and the impact of these concerns was quantified in terms of health state utilities. The resulting disutilities may be useful for differentiating among ARTs in economic modeling of treatment for patients with HIV.

Early Treatment in HIV Patients: A Cost-Utility Analysis from the Italian Perspective

BACKGROUND AND OBJECTIVE

Highly active antiretroviral therapy (HAART) has modified the clinical course of human immunodeficiency virus (HIV) infection, reducing the rate of disease progression, the incidence of opportunistic infections and mortality. Several recent studies show early antiretroviral therapy reduces the risk of AIDS and HIV-related disease. The aim of this study was to perform an economic analysis to estimate the cost-utility of early antiretroviral therapy in Italy for managing HIV-infected patients.

METHODS

The incremental cost-utility analysis was carried out to quantify the benefits of the early-treatment approach in HIV subjects. A Markov simulation model including direct costs and health outcomes was developed from a third-party (Italian National Healthcare Service) payer's perspective for four CD4 strata. 5000 Monte Carlo simulations were performed on two distinct scenarios: Standard of care (SoC) in which 30% of patients started HAART with a CD4 count ≥500 cells/mm(3) versus the early-treatment scenario (ETS), where the number of patients starting HAART with a CD4 count ≥500 cells/mm(3) increased to 70%. A systematic literature review was carried out to identify epidemiological and economic data, which were subsequently used to inform the model. In addition, a one-way probabilistic sensitivity analysis was performed in order to measure the relationship between the effectiveness of the treatments and the number of patients to undergo early treatment.

RESULTS

The model shows, in terms of the incremental cost-effectiveness ratio (ICER) per quality-adjusted life years (QALY) gained, that early treatment appeared to be the most cost-effective option compared to SoC (ICER = €13,625) over a time horizon of 10 years. The cost effectiveness of ETS is more sustainable as it extends the time horizon analysis (ICER = €7526 per QALY to 20 years and €8382 per QALY to 30 years). The one-way sensitivity analysis on the main variables confirmed the robustness of the model for the early-treatment approach.

CONCLUSION

Our model represents a tool for policy makers and health-care professionals to provide information on the cost effectiveness of the early-treatment approach in HIV-infected patients in Italy. Starting HAART earlier keeps HIV-infected patients in better health and reduces the incidence of AIDS- and non-AIDS-related events, generating a gain in terms of both patients' health and correct resource allocation.

Investigating the Generalizability of Economic Evaluations Conducted in Italy: A Critical Review

OBJECTIVES

To assess the methodological quality of Italian health economic evaluations and their generalizability or transferability to different settings.

METHODS

A literature search was performed on the PubMed search engine to identify trial-based, nonexperimental prospective studies or model-based full economic evaluations carried out in Italy from 1995 to 2013. The studies were randomly assigned to four reviewers who applied a detailed checklist to assess the generalizability and quality of reporting. The review process followed a three-step blinded procedure. The reviewers who carried out the data extraction were blind as to the name of the author(s) of each study. Second, after the first review, articles were reassigned through a second blind randomization to a second reviewer. Finally, any disagreement between the first two reviewers was solved by a senior researcher.

RESULTS

One hundred fifty-one economic evaluations eventually met the inclusion criteria. Over time, we observed an increasing transparency in methods and a greater generalizability of results, along with a wider and more representative sample in trials and a larger adoption of transition-Markov models. However, often context-specific economic evaluations are carried out and not enough effort is made to ensure the transferability of their results to other contexts. In recent studies, cost-effectiveness analyses and the use of incremental cost-effectiveness ratio were preferred.

CONCLUSIONS

Despite a quite positive temporal trend, generalizability of results still appears as an unsolved question, even if some indication of improvement within Italian studies has been observed.

Boosted lopinavir- versus boosted atazanavir-containing regimens and immunologic, virologic, and clinical outcomes: a prospective study of HIV-infected individuals in high-income countries

BACKGROUND

Current clinical guidelines consider regimens consisting of either ritonavir-boosted atazanavir or ritonavir-boosted lopinavir and a nucleoside reverse transcriptase inhibitor (NRTI) backbone among their recommended and alternative first-line antiretroviral regimens. However, these guidelines are based on limited evidence from randomized clinical trials and clinical experience.

METHODS

We compared these regimens with respect to clinical, immunologic, and virologic outcomes using data from prospective studies of human immunodeficiency virus (HIV)-infected individuals in Europe and the United States in the HIV-CAUSAL Collaboration, 2004-2013. Antiretroviral therapy-naive and AIDS-free individuals were followed from the time they started a lopinavir or an atazanavir regimen. We estimated the 'intention-to-treat' effect for atazanavir vs lopinavir regimens on each of the outcomes.

RESULTS

A total of 6668 individuals started a lopinavir regimen (213 deaths, 457 AIDS-defining illnesses or deaths), and 4301 individuals started an atazanavir regimen (83 deaths, 157 AIDS-defining illnesses or deaths). The adjusted intention-to-treat hazard ratios for atazanavir vs lopinavir regimens were 0.70 (95% confidence interval [CI], .53-.91) for death, 0.67 (95% CI, .55-.82) for AIDS-defining illness or death, and 0.91 (95% CI, .84-.99) for virologic failure at 12 months. The mean 12-month increase in CD4 count was 8.15 (95% CI, -.13 to 16.43) cells/µL higher in the atazanavir group. Estimates differed by NRTI backbone.

CONCLUSIONS

Our estimates are consistent with a lower mortality, a lower incidence of AIDS-defining illness, a greater 12-month increase in CD4 cell count, and a smaller risk of virologic failure at 12 months for atazanavir compared with lopinavir regimens.

Cost analysis of initial highly active antiretroviral therapy regimens for managing human immunodeficiency virus-infected patients according to clinical practice in a hospital setting

Objective

In the study reported here, single-tablet regimen (STR) versus (vs) multi-tablet regimen (MTR) strategies were evaluated through a cost analysis in a large cohort of patients starting their first highly active antiretroviral therapy (HAART). Adult human immunodeficiency virus (HIV) 1-naïve patients, followed at the San Raffaele Hospital, Milan, Italy, starting their first-line regimen from June 2008 to April 2012 were included in the analysis.

Methods

The most frequently used first-line HAART regimens (>10%) were grouped into two classes: 1) STR of tenofovir disoproxil fumarate (TDF) + emtricitabine (FTC) + efavirenz (EFV) and 2) MTR including TDF + FTC + EFV, TDF + FTC + atazanavir/ritonavir (ATV/r), TDF + FTC + darunavir/ritonavir (DRV/r), and TDF + FTC + lopinavir/ritoavir (LPV/r). Data were analyzed from the point of view of the Lombardy Regional Health Service. HAART, hospitalizations, visits, medical examinations, and other concomitant non-HAART drug costs were evaluated and price variations included. Descriptive statistics were calculated for baseline demographic, clinical, and laboratory characteristics; associations between categorical variables and type of antiretroviral strategy (STR vs MTR) were examined using chi-square or Fisher’s exact tests. At multivariate analysis, the generalized linear model was used to identify the predictive factors of the overall costs of the first-line HAART regimens.

Results

A total of 474 naïve patients (90% male, mean age 42.2 years, mean baseline HIV-RNA 4.50 log 10 copies/mL, and cluster of differentiation 4 [CD4+] count of 310 cells/μL, with a mean follow-up of 28 months) were included. Patients starting an STR treatment were less frequently antibody-hepatitis C virus positive (4% vs 11%, P=0.040), and had higher mean CD4+ values (351 vs 297 cells/μL, P=0.004) than MTR patients. The mean annual cost per patient in the STR group was €9,213.00 (range: €6,574.71–€33,570.00) and €14,277.00 (range: €5,908.89–€82,310.30) among MTR patients. At multivariate analysis, after adjustment for age, sex, antibody-hepatitis C virus status, HIV risk factors, baseline CD4+, and HIV-RNA, the cost analysis was significantly lower among patients starting an STR treatment than those starting an MTR (adjusted mean: €12,096.00 vs €16,106.00, P=0.0001).

Conclusion

STR was associated with a lower annual cost per patient than MTR, thus can be considered a cost-saving strategy in the treatment of HIV patients. This analysis is an important tool for policy makers and health care professionals to make short- and long-term cost projections and thus assess the impact of these on available budgets.