The identification of pharmacogenetic factors that increase the susceptibility to clozapine-induced agranulocytosis or granulocytopenia (CIAG) has received increasing interest. The SLCO1B3-SCLO1B7 variant (rs149104283) and single amino acid changes in human leukocyte antigen (HLA) HLA-DQB1 (126Q) and HLA-B (158T) were associated with an increased risk of CIAG. In this study, we evaluated the effectiveness and cost-effectiveness of adding the SLCO1B3-SCLO1B7 to HLA variants as a new pharmacogenomic (PGx) approach and explored the evolution of a cohort of schizophrenic patients taking long-term clozapine as a third-line antipsychotic medication. The decision model included probabilistic and deterministic sensitivity analyses to assess the expected costs and quality-adjusted life-years (QALYs). The current monitoring scheme was compared with the PGx-guided strategy, where all patients underwent pre-emptively a genetic test before taking clozapine, over 10 years. By adding the SLCO1B3-SCLO1B7 variant into HLA variants, CIAG sensitivity increased from 36.0% to 43.0%, the specificity decreased from 89.0% to 86.9%, and the probability of cost-effectiveness improved from 74.1% to 87.8%. The incremental cost-effectiveness ratio was £16,215 per QALY and remained below the conventional decision threshold (£30,000 or US$50,000 per QALY). Therefore, the SLCO1B3-SCLO1B7 variant, as an additional risk allele to HLA variants, increases preemptive test sensitivity and improves the effectiveness and cost-effectiveness of PGx-guided clozapine administration.
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http://dx.doi.org/10.3389/fphar.2022.1016669 | DOI Listing |
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Research Unit of Gynaecology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.
Front Pharmacol
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College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea.
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Department of Oncology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.
Objective: The combination of pembrolizumab and chemotherapy has demonstrated notable clinical advantages in improving overall survival than chemotherapy alone for patients with untreated advanced pleural mesothelioma. The purpose of this study was to assess its cost-effectiveness.
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Front Pharmacol
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Health Economics Unit, School of Public Health, University of Cape Town, Cape Town, South Africa.
Background: The treatment of chronic myeloid leukemia through tyrosine kinase inhibitors (TKIs) has achieved promising efficacy and safety outcomes, however the costs are associated with a substantial economic burden. The objective of this study was to develop a Markov model with a 20-year time horizon to assess the cost effectiveness of TKIs from a public healthcare system perspective in South Africa.
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School of Engineering, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Background: Non-muscle-invasive Bladder Cancer (NMIBC) is notorious for its high recurrence rate of 70-80%, imposing a significant human burden and making it one of the costliest cancers to manage. Current prediction tools for NMIBC recurrence rely on scoring systems that often overestimate risk and lack accuracy. Machine learning (ML) and artificial intelligence (AI) are transforming oncological urology by leveraging molecular and clinical data to enhance predictive precision.
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