IMPORTANCE Testing for and treating latent tuberculosis infection (LTBI) is among the main strategies to achieve TB elimination in the United States. The best approach to testing among non-US born residents, particularly those with comorbid conditions, is uncertain.OBJECTIVE To estimate health outcomes, costs, and cost-effectiveness of LTBI testing and treatment among non-US born residents with and without medical comorbidities. DESIGN, SETTING, AND PARTICIPANTS Decision analytic tree and Markov cohort simulation model among non-US born residents with no comorbidities, with diabetes, with HIV infection, or with end-stage renal disease (ESRD) using a health care sector perspective with 3% annual discounting. Strategies compared included no testing, tuberculin skin test (TST), interferon gamma release assay (IGRA), confirm positive (initial TST, IGRA only for TST-positive results; both tests positive indicates LTBI), and confirm negative (initial IGRA, then TST for IGRA-negative; any test positive indicates LTBI). All strategies were coupled to treatment with 3 months of self-administered rifapentine and isoniazid.
MAIN OUTCOMES AND MEASURESNumber needed to test and treat to prevent 1 case of TB reactivation, discounted quality-adjusted life-years (QALYs), discounted lifetime medical costs, and incremental cost-effectiveness ratios (ICERs).RESULTS Improving health outcomes increased costs, with choice of test dependent on willingness to pay. Strategies ranked by ascending costs and benefits: no testing, confirm positive, TST, IGRA, and confirm negative. The ICERs varied by non-US born patient risk group: patients with no comorbidities, IGRA
In addition to risk-based testing, one-time HCV testing of persons 18 and older appears to be cost-effective, leads to improved clinical outcomes and identifies more persons with HCV than the current birth cohort recommendations. These findings could be considered for future recommendation revisions.
Objective-To estimate the clinical effects and cost-effectiveness of universal prenatal hepatitis C screening, and to calculate potential life expectancy, quality of life, and health care costs associated with universal prenatal hepatitis C screening and linkage to treatment. Methods-Using a stochastic individual-level microsimulation model, we simulated the lifetimes of 250 million pregnant women matched at baseline with the U.S. childbearing population on age, injection drug use behaviors, and hepatitis C virus (HCV) infection status. Modeled outcomes included hepatitis C diagnosis, treatment and cure, lifetime health care costs, quality-adjusted life years (QALY) and incremental cost-effectiveness ratios (ICERs) comparing universal prenatal hepatitis C screening to current practice. We modeled whether infants exposed to maternal hepatitis C virus (HCV) at birth were identified as such. Results-Hepatitis C virus-infected pregnant women lived 1.21 years longer and had 16% lower HCV-attributable mortality with universal prenatal hepatitis C screening, which had an ICER of $41,000 per QALY gained compared to current practice. Incremental cost-effectiveness ratios remained below $100,000 per QALY gained in most sensitivity analyses; notable exceptions included ICERs above $100,000 when assuming mean time to cirrhosis of 70 years, a cost greater than $500,000 per false positive diagnosis, or population HCV infection prevalence below 0.16%. Universal prenatal hepatitis C screening increased identification of infants exposed to HCV at birth from 44% to 92%. Conclusions-In our model, universal prenatal hepatitis C screening improves health outcomes in HCV-infected women, improves identification of HCV exposure in infants born at risk, and is cost-effective. PRÉCIS Universal testing for hepatitis C in pregnancy is cost effective and would increase average life expectancy by 1.21 years for infected women.
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