Optimizing diagnostic algorithms to advance Hepatitis C elimination in Italy: A cost effectiveness evaluation.

OBJECTIVES: Optimized diagnostic algorithms to detect active infections are crucial to achieving HCV elimination. We evaluated the cost effectiveness and sustainability of different algorithms for HCV active infection diagnosis, in a context of a high endemic country for HCV infection. METHODS: A Markov disease progression model, simulating six diagnostic algorithms in the birth cohort 1969-1989 over a 10-year horizon from a healthcare perspective was used. Conventionally diagnosis of active HCV infection is through detection of antibodies (HCV-Ab) detection followed by HCV-RNA or HCV core antigen (HCV-Ag) confirmatory testing either on a second sample or by same sample reflex testing. The undiagnosed and unconfirmed rates were evaluated by assays false negative estimates and each algorithm patients' drop-off. Age, liver disease stages distribution, liver disease stage costs, treatment effectiveness and costs were used to evaluate the quality-adjusted life-years (QALYs) and the incremental cost-effectiveness ratios (ICER). RESULTS: The reference option was Rapid HCV-Ab followed by second sample HCV-Ag testing which produced the lowest QALYs (866,835 QALYs). The highest gains in health (QALYs=974,458) was obtained by HCV-RNA reflex testing which produced a high cost-effective ICER (€891/QALY). Reflex testing (same sample-single visit) vs two patients' visits algorithms, yielded the highest QALYs and high cost-effective ICERs (€566 and €635/QALY for HCV-Ag and HCV-RNA, respectively), confirmed in 99.9% of the 5,000 probabilistic simulations. CONCLUSIONS: Our data confirm, by a cost effectiveness point of view, the EASL and WHO clinical practice guidelines recommending HCV reflex testing as most cost effective diagnostic option vs other diagnostic pathways.

Streamlining the screening cascade for active Hepatitis C in Russia: A cost-effectiveness analysis.

OBJECTIVE: Screening for hepatitis C in Russia is a complex process that involves several visits and stepwise testing, limiting adherence and substantially reducing the yield in the identification of active infections. We aimed to evaluate the cost-effectiveness of different screening algorithms from a health system perspective. METHODS: A decision analytic model was applied to a hypothetical adult population eligible to participate in a general screening program for hepatitis C in Russia. The standard pathway (I: Screen for anti-HCV antibodies followed by a nucleic acid test for HCV RNA on antibody positives) was compared to three alternatives (II: Screen for antibodies, a reflexed test for HCV antigen on antibody positives, and RNA on antigen negatives; III: Screen for antibodies, a reflexed test for HCV antigen on antibody positives; IV: Screen for antigen). Each strategy considered a cascade of events (referral, adherence, testing, diagnosis) that must occur for screening to be effective. The primary measure of effectiveness was the number of diagnosed active infections. Calculations followed a health system perspective with costs derived from 2017 reimbursement rates and a willingness-to-pay of 2,000RUB ($82) per diagnosed active infection. Model was tested with deterministic and probabilistic sensitivity analyses. RESULTS: Non-adherence to screening stages reduced the capture rate of active infections in Strategy I from 79.0% to 40.6%. Strategies II, III, and IV were less affected and identified 69%, 67%, and 104% more infections. Average costs per diagnosed infection were decreased by 41% from 89,599RUB ($3,681) for I to 53,072RUB ($2,180), 53,004RUB ($2,177), and 59,633RUB ($2,450) for II, III, and IV, respectively. With a probability of 97%, Strategy III was most cost-effective with an incremental cost-effectiveness ratio vs. I of -1,373RUB (CI: -5,011RUB to -2,033RUB; $-56; CI: -$206 to -$84). Below a willingness-to-pay of 91,000RUB ($3,738), Strategy IV was not cost-effective. Sensitivity analyses confirmed the robustness of results. CONCLUSIONS: Testing strategies for hepatitis C with HCV antigen on HCV antibody positive cases offer a streamlining opportunity for population screening programs. Those shall increase the chances for detecting active infections and are cost-effective over current practice in Russia.

HCV core antigen comes of age: a new opportunity for the diagnosis of hepatitis C virus infection.

The diagnosis of hepatitis C virus (HCV) infection has been traditionally based on the detection of the host antibody response. Although antibody assays are available in different formats and are fairly accurate, they cannot distinguish between an ongoing infection with HCV replicative activity and a past infection where HCV has been cleared, spontaneously or after a successful therapy. As a chronic infection is mostly asymptomatic until the late clinical stages, there is a compelling need to detect active HCV infection by simple and reproducible methods. On this purpose, the clinical guidelines have suggested to search for the HCV ribonucleic acid (HCV-RNA) after anti-HCV has been detected, but this second step carries several limitations especially for population screening. The availability of fast and automated serological assays for the hepatitis C core antigen (HCVAg) has prompted an update of the guidelines that now encompass the use of HCVAg as a practical alternative to HCV-RNA, both for screening and monitoring purposes. In this paper, we summarize the features, benefits and limitations of HCVAg testing and provide an updated compendium of the evidences on its clinical utility and on the indications for use.

Identifying cost-effective screening algorithms for active hepatitis C virus infections in a high prevalence setting.

OBJECTIVE: To evaluate the cost-effectiveness of different screening patterns for active chronic hepatitis C virus (HCV) infections utilizing the hepatitis C core antigen test compared to standard care in the context of a general screening program in a high-prevalence country. METHODS: This study developed a decision analytic model to estimate the cost-effectiveness of four screening algorithms for the detection of active HCV infections among asymptomatic individuals with an unknown HCV status in a context of high (>5%) HCV prevalence. Three algorithms started with a serological test for antibodies (AB) followed by a nucleic acid test for HCV-RNA (RNA), the HCVAg (AG) assay, or both. An additional single marker screening strategy with AG was added to the analysis. By the example of the Republic of Georgia, strategies were compared in terms of total costs for screening and diagnosis of an active infection from a health system perspective. RESULTS: Replacing RNA with AG for confirmation of positive AB identified fewer active infections (-110 per 100,000 screened subjects) at significantly reduced total costs (-$2.74 per screened) and costs per diagnosed infection (-$44). Adding a subsequent RNA confirmatory test on AG negative results captured at least the same rate compared to the standard (AB followed by RNA) at still reduced costs (-$1.16 per subject screened, -$22 per case detected). Utilizing AG as the frontline test revealed the highest detection rate (97.9%) at the highest costs (+$3.80 per subject, +$323 per case detected vs standard). CONCLUSION: A combined pattern of HCV AB screening followed by sequential confirmation with AG and RNA on AG negatives would provide equal or better diagnostic performance at lower cost over a broad range of scenarios. Potential long-term consequences of screening strategies to patients and society have to be considered, since the latency period for HCV to develop into severe liver disease is long.

High-sensitivity cardiac troponin testing in routine practice: economic and organizational advantages.

Very seldom, if ever, a single laboratory test has provided such a paradigm shift in the managed care as cardiac troponin (cTn) testing. More than twenty years of improvements in test design and analytical features have contributed to revolutionize the clinical recommendations and guidelines, and the diagnosis of myocardial infarction (MI) is now highly dependent upon the kinetics of cTn within a suggestive clinical setting. Despite the advent of high-sensitivity cTn (HS-cTn) immunoassays has allowed a more accurate and timely diagnosis as well as a higher prognostic accuracy, the focus is now shifting on the most suitable algorithms and on a comprehensive approach to the clinical management of acute coronary syndrome (ACS). In this article we aim to discuss the implications of HS-cTn testing for ruling out and ruling in ACS. In the latter instance, main improvements are related to ACS diagnosis in women, in whom this pathology is still often underdiagnosed or misdiagnosed. A quick and accurate rule out will also regarded as a great advantage from both an organizational and economic standpoint. The advantages that will stem from this new approach have been recently assessed, and shortening of repeated testing 1 or 2 h from conventional algorithms entailing blood sampling at 3 and 6 h seems attainable. The larger benefits will definitely occur in clinical settings where the actual diagnosis rate of MI among patients with suspect ACS is lower and, consequently, the negative predictive value (NPV) of HS-cTn is the highest.

Hepatitis C virus screening to reveal a better picture of infection.

Antiviral therapy for hepatitis C virus (HCV) infection will be the next revolution in clinical virology. Sensible planning for treatment is needed, starting with population-screening policies ideally using the HCV core antigen. This will result in a more defined picture of the silent spread of HCV.