TKIS IN THE FIRST LINE OF CHRONIC MYELOID LEUKEMIA. COST OF ADVERSE EVENTS IN SPAIN
Author(s)
Francisco Javier Parrondo Garcia, Sr., PharmD, PhD1, Alex Ramos-Alcobendas, Degree2, Guillermo Ortí, PhD3, Raquel De Paz, PhD4, Emilio Vargas Castrillon, PhD5, CARME PINYOL, MSc, PhD, MD6.
1HEOR Senior Manager, NOVARTIS, BARCELONA, Spain, 2NOVARTIS, Barcelona, Spain, 3Hematology, Hospital Vall d’Hebrón, Barcelona, Spain, 4Hematology, Hospital Universitario La Paz, IdIPaz, Madrid, Madrid, Spain, 5Clinical Pharmacology, Hospital Clínico San Carlos, Madrid, Spain, Madrid, Spain, 6Novartis, Barcelona, Spain.
1HEOR Senior Manager, NOVARTIS, BARCELONA, Spain, 2NOVARTIS, Barcelona, Spain, 3Hematology, Hospital Vall d’Hebrón, Barcelona, Spain, 4Hematology, Hospital Universitario La Paz, IdIPaz, Madrid, Madrid, Spain, 5Clinical Pharmacology, Hospital Clínico San Carlos, Madrid, Spain, Madrid, Spain, 6Novartis, Barcelona, Spain.
OBJECTIVES: Tyrosine kinase inhibitors (TKIs) in the first-line treatment of chronic myeloid leukaemia (CML) have increased their efficacy from the 1st generation (imatinib), through the 2nd (bosutinib, dasatinib and nilotinib), to the 3rd (asciminib). However, these have different safety profiles, both in the type of adverse events and in the frequency with which they occur. Adverse events compromise the efficacy of TKIs by requiring dose reductions, temporary interruptions, or treatment substitutions and they have an economic impact The objetive os this research is to determine the mean cost of treatment per patient of adverse events of the different TKI generations in the first-line treatment of CML for the Spanish National Health System.
METHODS: The adverse events of each TKI, their frequency and their treatment were obtained from data from the literature, consultation with three experts and a consensus in a panel of these experts. From these, beta distributions of probability of the occurrence of the event were obtained. The gamma distributions of the costs of each event and resources were obtained from the official tariff of the Spanish Autonomous Communities (all cost in €2026). 10,000 simulations were carried out using the Monte Carlo method to obtain an average cost per adverse events for each treatment.
RESULTS: The mean cost of adverse events per patient was €1,195.50 (SD 905.98) for first generation TKI (imatinb) versus €553.48 (SD 512,48), second generation TKIs (bosutinib, dasatinib and nilotinib) and €467.33 (SD 436,07) for third generation TKI (asciminib).
CONCLUSIONS: The increase in efficacy represented by the new generations of TKI is accompanied by a better safety profile that means a reduction in the costs of treating adverse events. Knowing it can contribute to select the most appropriate therapeutic alternative
METHODS: The adverse events of each TKI, their frequency and their treatment were obtained from data from the literature, consultation with three experts and a consensus in a panel of these experts. From these, beta distributions of probability of the occurrence of the event were obtained. The gamma distributions of the costs of each event and resources were obtained from the official tariff of the Spanish Autonomous Communities (all cost in €2026). 10,000 simulations were carried out using the Monte Carlo method to obtain an average cost per adverse events for each treatment.
RESULTS: The mean cost of adverse events per patient was €1,195.50 (SD 905.98) for first generation TKI (imatinb) versus €553.48 (SD 512,48), second generation TKIs (bosutinib, dasatinib and nilotinib) and €467.33 (SD 436,07) for third generation TKI (asciminib).
CONCLUSIONS: The increase in efficacy represented by the new generations of TKI is accompanied by a better safety profile that means a reduction in the costs of treating adverse events. Knowing it can contribute to select the most appropriate therapeutic alternative
Conference/Value in Health Info
2026-11, ISPOR Europe 2026, Vienna, Austria
Value in Health, Volume 29, Issue 12S
Code
EE75
Topic
Clinical Outcomes, Economic Evaluation
Topic Subcategory
Cost/Cost of Illness/Resource Use Studies
Disease
Oncology