Treatment Patterns and Effectiveness of Tyrosine Kinase Inhibitors in Patients with Chronic Myeloid Leukemia: Evidence from a Real-World Data Analysis

Authors

  • Jirawit Yadee Department of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, Thailand
  • Witthawat Pantumongkol Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand; Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
  • Phorntida Hadnorntun Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand; Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
  • Nitichen Kittiratchakool Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand
  • Chanida Ekakkararungroj Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand
  • Chutima Kumdee Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand

Keywords:

treatment pattern, effectiveness, tyrosine kinase inhibitors, chronic myeloid leukemia, real-world data analysis

Abstract

A retrospective cohort study using real-world data was conducted to analyze the treatment patterns of tyrosine kinase inhibitors in patients with chronic myeloid leukemia (CML), compared with the guideline for regulating drug use of the National List of Essential Medicine (NLEM) category E(2), with the purpose of determining the effectiveness of tyrosine kinase inhibitors in CML patients covered by Thailand’s universal coverage scheme and social security scheme. This study focused on the treatment patterns and effectiveness of imatinib, nilotinib, and dasatinib. Data were obtained from the reimbursement database of the NLEM category E(2) during fiscal year 2012-2018. Patients were followed up until death or the end of fiscal year 2019. Descriptive statistics and non-parametric test using Kaplan-Meier method were performed in the analysis. CML patients were divided into 3 groups based on their medical history until the time of death or last follow-up as follows; 1) patients who received imatinib only (group A), 2) patients who received first-line imatinib and second-line nilotinib (group B), and 3) patients who received first-line imatinib, second-line nilotinib, and third-line dasatinib (group C). Of 574 CML patients, there were 400, 113 and 61 CML patients in groups A, B and C, respectively. The majority of patients in each group were between the ages of 30 and 39 years old (34.2%, 36.3% and 29.5 %, respectively), with a median follow-up of 36.6, 50.7 and 47.6 months. Prior to the last follow-up or drug switching, the average daily dose of imatinib in group A, B and C was 444.3, 474.1 and 474.8 mg, respectively. Real-world effectiveness using survival analysis revealed 2-year survival rates at 84.3% (95%CI: 80.3-87.6%) for group A, 91.0% (95%CI: 83.9-95.1%) for group B and 85.2% (95%CI: 73.4-92.0%) for group C, with 5-year survival rates in each group were 83.2% (95%CI: 78.9-86.7%), 85.7% (95%CI: 76.7-91.4%), and 66.4% (95%CI: 52.3-77.2%), respectively. Average daily dose of imatinib prior to drug switching was not complied with the guideline, which recommended high-dose imatinib (600-800 mg/day). The 2-year survival rates were comparable across groups (log-rank p-value 0.295), while the 5-year survival rates in group A and B were significantly higher than in group C (log-rank p-value: group A vs. C; 0.016, group B vs. C; 0.004). However, the causes of non-adherence to the guideline could not be identified due to the lack of important clinical data including cytogenic/hematologic response, drug resistance, and occurrence of adverse drug events during the treatment of CML.

References

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Published

30-09-2022

How to Cite

1.
Yadee J, Pantumongkol W, Hadnorntun P, Kittiratchakool N, Ekakkararungroj C, Kumdee C. Treatment Patterns and Effectiveness of Tyrosine Kinase Inhibitors in Patients with Chronic Myeloid Leukemia: Evidence from a Real-World Data Analysis. J Health Syst Res [internet]. 2022 Sep. 30 [cited 2025 Oct. 26];16(3):344-56. available from: https://he04.tci-thaijo.org/index.php/j_hsr/article/view/3402

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original article