| Literature DB >> 32880650 |
Moosa Tatar1, Susana W Keeshin2, Mark Mailliard3, Fernando A Wilson1.
Abstract
Importance: Between 2 and 3.5 million people live with chronic hepatitis C virus (HCV) infection in the US, most of whom (approximately 75%) are not aware of their disease. Despite the availability of effective HCV treatment in the early stages of infection, HCV will result in thousands of deaths in the next decade in the US. Objective: To investigate the cost-effectiveness of universal screening for all US adults aged 18 years or older for HCV in the US and of targeted screening of people who inject drugs. Design, Setting, and Participants: This simulated economic evaluation used cohort analyses in a Markov model to perform a 10 000-participant Monte Carlo microsimulation trail to evaluate the cost-effectiveness of HCV screening programs, and compared screening programs targeting people who inject drugs with universal screening of US adults age 18 years or older. Data were analyzed in December 2019. Exposures: Cost per quality-adjusted life-year (QALY). Main Outcomes and Measures: Cost per QALY gained.Entities:
Year: 2020 PMID: 32880650 PMCID: PMC7489814 DOI: 10.1001/jamanetworkopen.2020.15756
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Figure 1. Markov Model of the Health State Transitions of HCV
Health states are shown by rectangles, and have been determined according to the METAVIR liver biopsy staging system (F0-F4). Arrows show the transition between health states. Dotted arrows depict potential transitions between health states after treatment. Natural death also can happen in all states. HCV indicates hepatitis C virus.
Transition Probabilities, Mortality Rates, and Costs
| Variable | Probability | Source |
|---|---|---|
| Fibrosis progression, y | ||
| <40 | 0.04 | Saab et al,[ |
| 40-49 | 0.04 | Liu et al,[ |
| 50-59 | 0.09 | Liu et al,[ |
| 60-69 | 0.155 | Liu et al,[ |
| 70-79 | 0.2 | Liu et al,[ |
| ≥80 | 0.285 | Saab et al,[ |
| Nonfibrosis progression | ||
| Recovered (SVR), no HCV, history of mild or severe fibrosis (compensated cirrhosis) to hepatocellular carcinoma | 0.012 | Saab et al,[ |
| Compensated cirrhosis to decompensated cirrhosis | 0.04 | Liu et al,[ |
| Compensated cirrhosis to hepatocellular carcinoma (first year) | 0.02 | Liu et al,[ |
| Decompensated cirrhosis to hepatocellular carcinoma (first year) | 0.02 | Liu et al,[ |
| Liver transplantation | ||
| Decompensated cirrhosis to transplantation (first year) | 0.05 | Liu et al,[ |
| Hepatocellular carcinoma to transplantation (first year) | 0.15 | Liu et al,[ |
| Liver-related mortality | ||
| Decompensated cirrhosis to liver death | 0.26 | Liu et al,[ |
| Hepatocellular carcinoma (first year) to liver death | 0.72 | Liu et al,[ |
| Hepatocellular carcinoma (subsequent year) to liver death | 0.25 | Liu et al,[ |
| Transplantation to liver death | 0.14 | Liu et al,[ |
| After transplantation to liver death | 0.05 | Liu et al,[ |
| Viral reinfection | 0.01 | Saab et al,[ |
| Spontaneous remission from no fibrosis | 0.012 | Liu et al,[ |
| Mortality rate total population, y | ||
| <40 | 0.001 | Arias and Xu,[ |
| 40-49 | 0.002 | Arias and Xu,[ |
| 50-59 | 0.006 | Arias and Xu,[ |
| 60-69 | 0.012 | Arias and Xu,[ |
| 70-79 | 0.026 | Arias and Xu,[ |
| ≥80 | 0.186 | Arias and Xu,[ |
| Direct medical annual costs by health state | ||
| No HCV | 0 | Assumed |
| Screening | 140 | Carlson,[ |
| Glecaprevir and pibrentasvir regimen (8 wk) | 26 400 | Wholesale acquisition costs,[ |
| Decompensated cirrhosis treatment | 33 314 | McAdam-Marx et al,[ |
| Hepatocellular carcinoma treatment | ||
| First year | 52 248 | McAdam-Marx et al,[ |
| Subsequent years | 52 248 | McAdam-Marx et al,[ |
| Liver transplantation | ||
| First year | 812 000 | Bentley et al,[ |
| Subsequent years | 45 481 | McAdam-Marx et al,[ |
| Variable, value (range) | ||
| Reinfection rate | 0.01 (0.01-0.10) | NA |
| Infection rate for general population | 0.01 (0.01-0.10) | NA |
| Infection rate for people who inject drugs | 0.60 (0.30-0.90) | NA |
| Cost of HCV treatment (drug), $ | 26 400 (2640-52 800) | NA |
Abbreviations: HCV, hepatitis C virus; NA, not applicable; SVR, sustained virologic response.
Incremental Cost-effectiveness Ratios of Costs to QALYs Gained for PWID and Universal Screening vs Status Quo Using Markov Modeling
| Strategy | Cost, $ | Incremental cost, $ | Effectiveness, LY | Incremental | Cost-effectiveness, | |
|---|---|---|---|---|---|---|
| Effectiveness, LY | Cost/effectiveness, $ | |||||
| No HCV screening (status quo) vs HCV screening for PWID | ||||||
| Status quo | 6507 | NA | 7.11 | NA | NA | 915.7 |
| PWID screening | 16 963 | 10 457 | 7.34 | 0.23 | 44 815 | 2311.5 |
| No HCV screening (status quo) vs HCV screening for all US adults ages ≥18 y | ||||||
| Status quo | 108 | NA | 7.51 | NA | NA | 14.4 |
| Universal screening | 2953 | 2845 | 7.52 | 0.01 | 29 1277 | 392.7 |
Abbreviations: HCV, hepatitis C virus; QALY, quality-adjusted life-year; NA, not applicable; PWID, persons who inject drugs.
Incremental cost-effectiveness is the difference in cost divided by difference in effectiveness between PWID screening and status quo.
Figure 2. Sensitivity Analysis of the Probability of HCV and Cost of the HCV Drug Treatment for Universal Screening
HCV indicates hepatitis C virus.
Figure 3. Associations of Variation in HCV Infection, Cost of Drug Treatment, Probability of New HCV Infection, and Medical Treatment Cost by Stage of Disease
The dark blue portion of each bar represents the low range of the parameter listed on the y-axis, and the light blue portion of the bar represents the high range of the parameter. When dark blue is on the left and light blue on the right, the ICER increases as the parameter value increases; when light blue is on the left of the baseline, ICER decreases as parameter value increases. EV indicates expected value; HCV, hepatitis C virus; ICER, incremental cost-effectiveness ratio.