| Literature DB >> 34430579 |
Dayong Zeng1, Xiaoting Huang1, Shen Lin1, Rongfang Lin1, Xiuhua Weng1, Pinfang Huang1.
Abstract
BACKGROUND: This study aimed to analyze the cost-effectiveness of combining screening for thiopurine methyl transferase (TPMT) and nucleotide triphosphate diphosphatase (NUDT15) defective alleles with therapeutic drug monitoring (TDM) in Chinese patients with inflammatory bowel disease (IBD) treated with azathioprine (AZA).Entities:
Keywords: Genotype screening; azathioprine (AZA); cost-effectiveness; inflammatory bowel disease (IBD); therapeutic drug monitoring (TDM)
Year: 2021 PMID: 34430579 PMCID: PMC8350671 DOI: 10.21037/atm-21-1980
Source DB: PubMed Journal: Ann Transl Med ISSN: 2305-5839
Figure 1Decision tree of the baseline case. Circles represent chance nodes and squares represent a decision node.
Demographic information of patients with IBD who were enrolled in the study
| Variables | Value |
|---|---|
| Total (n) | 391 |
| Male, n (%) | 265 (67.8) |
| BMI (kg/m2) | 19.7±3.5 |
| CD, n (%) | 327 (83.6) |
| UC, n (%) | 64 (16.4) |
| Median age at start AZA (years) | 33.4±11.7 |
IBD, inflammatory bowel disease; BMI, body mass index; CD, Crohn’s disease; UC, ulcerative colitis; AZA, azathioprine.
Frequencies of phenotypes and the probability of severe myelotoxicity
| Variable | Value | References |
|---|---|---|
| Phenotype frequency | ||
| Poor metabolizer by TPMT genotyping | 0.00037 | Real-world data |
| Poor metabolizer by NUDT15 genotyping | 0.01600 | Real-world data |
| Poor metabolizer by combined TPMT/NUDT15 genotyping | 0.00014 | Real-world data |
| Probability of severe myelotoxicity | ||
| Normal/intermediate metabolizer by TPMT genotyping | ||
| With TDM | 0.00001 | Real-world data |
| Without TDM | 0.04600 | Real-world data |
| Normal/intermediate metabolizer by NUDT15 genotyping | ||
| With TDM | 0.00001 | Real-world data |
| Without TDM | 0.02800 | Real-world data |
| Normal/intermediate metabolizer by combined TPMT/NUDT15 genotyping | ||
| With TDM | 0.00001 | Real-world data |
| Without TDM | 0.01430 | Real-world data |
| No genotyping | ||
| With TDM | 0.05300 | Real-world data |
| Without TDM | 0.09100 | Real-world data |
TPMT, thiopurine methyl transferase; NUDT15, nucleotide triphosphate diphosphatase; TDM, therapeutic drug monitoring.
Sensitivity analysis of parameters’ ranges and distributions
| Variable | Baseline value | Range | Distribution | References |
|---|---|---|---|---|
| Costs | ||||
| Cost of TPMT genotyping, $ | 51.5 | 41.2–61.8 | Gamma | Real-world data |
| Cost of NUDT15 genotyping, $ | 51.5 | 41.2–61.8 | Gamma | Real-world data |
| Cost of combined genotyping, $ | 103 | 82.4–123.6 | Gamma | Real-world data |
| Cost of TDM, $/time | 42.9 | 34.3–51.5 | Gamma | Real-world data |
| Cost of standard dose of AZA, $/year | 243 | 194.9–291.6 | Gamma | Real-world data |
| Cost of 50% dose reduction in AZA, $/year | 182 | 145.6–219.4 | Gamma | Real-world data |
| Cost of methotrexate, $/year | 211 | 168.8–253.2 | Gamma | Real-world data |
| Cost of TNF-α inhibitors, $/year | 20,457 | 16,365.5–24,548.4 | Gamma | Real-world data |
| Cost of severe myelotoxicity, $ | 363 | 290–436 | Gamma | Real-world data |
| Phenotype frequency | ||||
| Poor metabolizer by TPMT genotyping | 0.00037 | 0.0014–0.015 | Beta | ( |
| Poor metabolizer by NUDT15 genotyping | 0.016 | 0.0016–0.030 | Beta | ( |
| Poor metabolizer by combined genotyping | 0.00014 | 0.00–0.00456 | Beta | ( |
| Utilities | ||||
| IBD | 0.89 | 0.83–0.92 | Beta | ( |
| IBD with severe myelotoxicity | 0.66 | 0.6–0.68 | Beta | ( |
TPMT, thiopurine methyl transferase; NUDT15, nucleotide triphosphate diphosphatase; TDM, therapeutic drug monitoring; AZA, azathioprine; IBD, inflammatory bowel disease.
Outcomes in the base-case analysis
| Strategy | Mean cost, $ | Total QALYs | ICERa |
|---|---|---|---|
| NUDT15 genotyping | 608.94 | 0.88303 | 3,929.54 |
| TPMT/NUDT15 genotyping | 622.77 | 0.88655 | NA |
| TPMT genotyping | 647.92 | 0.88249 | –6,196.29 |
| No genotyping | 721.82 | 0.87873 | –12,659.62 |
a, ICER compared to TPMT/NUDT15 genotyping. TPMT, thiopurine methyl transferase; NUDT15, nucleotide triphosphate diphosphatase; NA, not applicable; QALYs, quality-adjusted life-years; ICER, incremental cost-effectiveness ratio.
Results of strategies with and without TDM
| Strategy | Mean cost, $ | Total QALYs | ICERa |
|---|---|---|---|
| NUDT15 genotyping | |||
| With TDM | 321.24 | 0.88625 | NA |
| Without TDM | 669.16 | 0.88226 | –87,197.99 |
| TPMT/NUDT15 genotyping | |||
| With TDM | 331.06 | 0.88762 | NA |
| Without TDM | 630.03 | 0.88521 | –124,053.94 |
| TPMT genotyping | |||
| With TDM | 335.75 | 0.88301 | NA |
| Without TDM | 762.82 | 0.88024 | –154,176.89 |
| No genotyping | |||
| With TDM | 225.17 | 0.88502 | NA |
| Without TDM | 1,146.23 | 0.87340 | –79,265.06 |
a, ICER compared to TDM. TPMT, thiopurine methyl transferase; NUDT15, nucleotide triphosphate diphosphatase; TDM, therapeutic drug monitoring; NA, not applicable; QALYs, quality-adjusted life-years; ICER, incremental cost-effectiveness ratio.
Figure 2Results of one-way sensitivity analysis of combined TPMT/NUDT15 genotyping versus NUDT15 genotyping. The diagram compares the incremental cost-effectiveness ratios (ICERs) of combined TPMT/NUDT15 genotyping and NUDT15 genotyping for different model input parameters. The model’s robustness was tested by performing one-way sensitivity analysis by varying key parameters over plausible ranges to assess their global effect on the ICER. The longer the bar, the greater the sensitivity of the global results to variations in that key parameter. The orange bar represents the ICER at the minimum parameter value, and the gray bar represents the ICER at the maximum parameter value. ICER, incremental cost-effectiveness ratio; QALYs, quality-adjusted life-years; TPMT, thiopurine methyl transferase; NUDT15, nucleotide triphosphate diphosphatase; TDM, therapeutic drug monitoring.
Figure 3Cost-effectiveness acceptability curves. Probabilistic sensitivity analyses results on the basis of 10,000 Monte Carlo simulations, which includes the sampling of model variable values from distributions imposed on variables to indicate uncertainty regarding the cost-effectiveness of combined genotyping at various willingness-to-pay thresholds. The combined genotyping strategy has a 91.7% chance of being cost-effective at a threshold of $30,425 per QALY in China. TPMT, thiopurine methyl transferase; NUDT15, nucleotide triphosphate diphosphatase; QALYs, quality-adjusted life-years.