Association of Nilotinib With Cardiovascular Diseases in Patients With Chronic Myelogenous Leukemia: A National PopulationBased Cohort Study

被引:1
作者
Huang, Cih-En [1 ,2 ]
Lee, Kuan-Der [3 ,4 ,5 ]
Chang, Jung-Jung [6 ]
Tzeng, Huey-En [7 ]
Huang, Shih-Hao [8 ]
Yu, Lennex Hsueh-Lin [9 ,12 ]
Chen, Min-Chi [8 ,10 ,11 ]
机构
[1] Chang Gung Mem Hosp, Dept Med, Div Hematol & Oncol, Chiayi, Taiwan
[2] Chang Gung Univ, Coll Med, Taoyuan, Taiwan
[3] Taichung Vet Gen Hosp, Cell Therapy & Regenerat Med Ctr, Comprehens Canc Ctr, Taichung, Taiwan
[4] Taipei Med Univ, Coll Med, Sch Med, Int Ph D Program Cell Therapy & Regenerat Med, Taipei, Taiwan
[5] Natl Chung Hsing Univ, Coll Med, Dept Postbaccalaureate Med, Taichung, Taiwan
[6] Chang Gung Mem Hosp, Dept Med, Div Cardiol, Chiayi, Taiwan
[7] Taichung Vet Gen Hosp, Dept Pathol, Div Transfus Med, Taichung, Taiwan
[8] Chang Gung Univ, Biostat Consulting Ctr, Dept Publ Hlth, Taoyuan, Taiwan
[9] Panco Healthcare Co Ltd, Med Affairs Dept, Taipei, Taiwan
[10] Chang Gung Mem Hosp, Dept Obstet & Gynecol, Chiayi, Taiwan
[11] 259 Wenhua 1st Rd, Taoyuan 333, Taiwan
[12] 2F-5,3 Pk St, Taipei 115, Taiwan
关键词
chronic myeloid leukemia; cardiovascular diseases; nilotinib; diabetes; hyperlipidemia; CHRONIC MYELOID-LEUKEMIA; DIABETES-MELLITUS; CML PATIENTS; IMATINIB; RISK; DASATINIB; THERAPY;
D O I
10.1093/oncolo/oyad225
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
This population-based study explored the incidence of diabetes, hyperlipidemia, and hypertension after tyrosine kinase inhibitor (TKI) treatment and the association between these comorbidities and the risk of cardiovascular diseases. Background Tyrosine kinase inhibitor (TKI) treatment has been identified to be a risk factor for metabolic syndrome and cardiovascular diseases (CVDs) in patients diagnosed with chronic myeloid leukemia (CML). However, the specific contribution of post-TKI metabolic syndrome and the individual TKIs, including imatinib, nilotinib, and dasatinib, contribute to the development of CVDs remains unclear. Methods We conducted a nationwide database to investigate the incidence of post-TKI metabolic syndrome, including diabetes, hyperlipidemia, and hypertension, as well as their association with CVDs. To compare the risk of post-TKI comorbidities and CVDs among TKIs, we utilized the incidence rate ratio (IRR), and subdistribution hazard ratio (SHR) calculated from multiple Fine-Gray models. Results A total of 1211 patients without diabetes, 1235 patients without hyperlipidemia, and 1074 patients without hypertension were enrolled in the study. The incidence rate of post-TKI diabetes and hyperlipidemia was the highest in patients treated with nilotinib compared to imatinib and dasatinib (IRRs & GE; 3.15, Ps & LE; .047). After adjusting for confounders, nilotinib remained a significant risk factor for post-TKI diabetes and hyperlipidemia at an SHR of 3.83 (P < .001) and 5.15 (P < .001), respectively. Regarding the occurrence of CVDs, patients treated with nilotinib were more likely to develop CVDs than those treated with imatinib in non-hyperlipidemic group (IRR = 3.21, P = .020). Pre-existing and post-TKI hyperlipidemia were found to have a stronger association with CVDs, with SHR values of 5.81 (P = .034) and 13.21 (P = .001), respectively. Conclusion The findings of this study indicate that nilotinib treatment is associated with increased risks of diabetes and hyperlipidemia, with hyperlipidemia being the most significant risk for CVDs. Therefore, we recommend that CML patients receiving nilotinib should undergo screening for diabetes and hyperlipidemia prior to initiating TKI treatment. Additionally, regular monitoring of lipid profiles during TKI therapy and implementing effective management strategies to control hyperlipidemia are crucial.
引用
收藏
页码:e81 / e89
页数:9
相关论文
共 30 条
[1]   Effects of proprotein convertase subtilisin/kexin type 9 and nilotinib plasma concentrations on nilotinib-induced hypercholesterolaemia in patients with chronic myeloid leukaemia [J].
Abumiya, Maiko ;
Akamine, Yumiko ;
Sato, Shiori ;
Takahashi, Saori ;
Yoshioka, Tomoko ;
Kameoka, Yoshihiro ;
Takahashi, Naoto ;
Miura, Masatomo .
JOURNAL OF CLINICAL PHARMACY AND THERAPEUTICS, 2021, 46 (02) :382-387
[2]   The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia [J].
Arber, Daniel A. ;
Orazi, Attilio ;
Hasserjian, Robert ;
Thiele, Jurgen ;
Borowitz, Michael J. ;
Le Beau, Michelle M. ;
Bloomfield, Clara D. ;
Cazzola, Mario ;
Vardiman, James W. .
BLOOD, 2016, 127 (20) :2391-2405
[3]   Type 2 diabetes [J].
Chatterjee, Sudesna ;
Khunti, Kamlesh ;
Davies, Melanie J. .
LANCET, 2017, 389 (10085) :2239-2251
[4]   Tyrosine Kinase Inhibitors and Vascular Adverse Events in Patients with Chronic Myeloid Leukemia: A Population-Based, Propensity Score-Matched Cohort Study [J].
Chen, Mei-Tsen ;
Huang, Shih-Tsung ;
Lin, Chih-Wan ;
Ko, Bor-Sheng ;
Chen, Wen-Jone ;
Huang, Huai-Hsuan ;
Hsiao, Fei-Yuan .
ONCOLOGIST, 2021, 26 (11) :974-982
[5]   Final 5-Year Study Results of DASISION: The Dasatinib Versus Imatinib Study in Treatment-Naive Chronic Myeloid Leukemia Patients Trial [J].
Cortes, Jorge E. ;
Saglio, Giuseppe ;
Kantarjian, Hagop M. ;
Baccarani, Michele ;
Mayer, Jiri ;
Boque, Concepcion ;
Shah, Neil P. ;
Chuah, Charles ;
Casanova, Luis ;
Bradley-Garelik, Brigid ;
Manos, George ;
Hochhaus, Andreas .
JOURNAL OF CLINICAL ONCOLOGY, 2016, 34 (20) :2333-U54
[6]   The Global Cardiovascular Risk Transition Associations of Four Metabolic Risk Factors with National Income, Urbanization, and Western Diet in 1980 and 2008 [J].
Danaei, Goodarz ;
Singh, Gitanjali M. ;
Paciorek, Christopher J. ;
Lin, John K. ;
Cowan, Melanie J. ;
Finucane, Mariel M. ;
Farzadfar, Farshad ;
Stevens, Gretchen A. ;
Riley, Leanne M. ;
Lu, Yuan ;
Rao, Mayuree ;
Ezzati, Majid ;
Aamodt, Geir ;
Abdeen, Ziad ;
Abdella, Nabila A. ;
Rahim, Hanan F. Abdul ;
Addo, Juliet ;
Aekplakorn, Wichai ;
Afifi, Mustafa M. ;
Agabiti-Rosei, Enrico ;
Salinas, Carlos A. Aguilar ;
Agyemang, Charles ;
Ali, Mohamed M. ;
Al-Nsour, Mohannad ;
Al-Nuaim, Abdul R. ;
Ambady, Ramachandran ;
Aro, Pertti ;
Azizi, Fereidoun ;
Barbagallo, Carlo M. ;
Barbieri, Marco Antonio M. ;
Barcelo, Alberto ;
Barreto, Sandhi M. ;
Barros, Henrique ;
Bautista, Leonelo E. ;
Benetos, Athanase ;
Bjerregaard, Peter ;
Bjoerkelund, Cecilia ;
Bo, Simona ;
Bobak, Martin ;
Bonora, Enzo ;
Bontha, Babu V. ;
Botana, Manuel A. ;
Bovet, Pascal ;
Breckenkamp, Juergen ;
Breteler, Monique M. ;
Broda, Grazyna ;
Brown, Ian J. ;
Bursztyn, Michael ;
de Leon, Antonio Cabrera ;
Campos, Hannia .
CIRCULATION, 2013, 127 (14) :1493-+
[7]   A proportional hazards model for the subdistribution of a competing risk [J].
Fine, JP ;
Gray, RJ .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1999, 94 (446) :496-509
[8]   Incidence of type 2 diabetes mellitus and hyperlipidemia in patients prescribed dasatinib or nilotinib as first- or second-line therapy for chronic myelogenous leukemia in the US [J].
Franklin, Meg ;
Burns, Leah ;
Perez, Samuel ;
Yerragolam, Deepak ;
Makenbaeva, Dinara .
CURRENT MEDICAL RESEARCH AND OPINION, 2018, 34 (02) :353-360
[9]  
Ginsberg HN, 2010, NEW ENGL J MED, V362, P1563, DOI 10.1056/NEJMoa1001282
[10]   Nilotinib-induced vasculopathy: identification of vascular endothelial cells as a primary target site [J].
Hadzijusufovic, E. ;
Albrecht-Schgoer, K. ;
Huber, K. ;
Hoermann, G. ;
Grebien, F. ;
Eisenwort, G. ;
Schgoer, W. ;
Herndlhofer, S. ;
Kaun, C. ;
Theurl, M. ;
Sperr, W. R. ;
Rix, U. ;
Sadovnik, I. ;
Jilma, B. ;
Schernthaner, G. H. ;
Wojta, J. ;
Wolf, D. ;
Superti-Furga, G. ;
Kirchmair, R. ;
Valent, P. .
LEUKEMIA, 2017, 31 (11) :2388-2397