title: Time trend of multiple myeloma and associated secondary primary malignancies in Asian patients: a Taiwan population-based study.
abstract: Studies involving second malignancies in patients with multiple myeloma are limited for the Asian population. Using data from population-based insurance claims, we assessed the risk of developing secondary malignancies after multiple myeloma, in particular hematologic malignancies. A retrospective cohort study was conducted in 3970 patients with newly diagnosed multiple myeloma from the registry of catastrophic illnesses between 1997 and 2009. A total of 15880 subjects without multiple myeloma were randomly selected as comparisons from the insured population, frequency-matched based on gender, age, and the date of diagnosis. The incidence of secondary malignancies was ascertained through cross-referencing with the National Cancer Registry System. The Cox proportional hazards model was used for analyses. The incidence of multiple myeloma in the insured population increased annually. The overall incidence of secondary malignancy was lower in the multiple myeloma cohort than in the comparison cohort (93.6 vs. 104.5 per 10,000 person-years, IRR = 0.90, 95% CI = 0.78-1.04). The incidence of hematologic malignancies was 11-fold greater for multiple myeloma patients (47.2 vs. 4.09 per 10,000 person-years) with an adjusted HR of 13.0 (95% CI = 7.79-21.6) compared with the comparison cohort. The relative risk of secondary malignancy was also strong for myeloid leukemia (21.2 vs. 1.36 per 10,000 person-years). Gender- and age-specific analysis for secondary hematologic malignancies showed that males and patients with multiple myeloma <60 years of age had a higher risk of secondary malignancy than females and patients with multiple myeloma >60 years of age. In conclusion, patients with multiple myeloma, especially younger patients, are at a high risk of hematologic malignancies.
authors.affiliation: Graduate Institute of Medicine, China Medical University, Taichung, Taiwan.
authors.forename: Huey-En
authors.initials: HE
authors.lastname: Tzeng
authors.forename: Cheng-Li
authors.initials: CL
authors.lastname: Lin
authors.forename: Chun-Hao
authors.initials: CH
authors.lastname: Tsai
authors.forename: Chih-Hsin
authors.initials: CH
authors.lastname: Tang
authors.forename: Wen-Li
authors.initials: WL
authors.lastname: Hwang
authors.forename: Ya-Wen
authors.initials: YW
authors.lastname: Cheng
authors.forename: Fung-Chang
authors.initials: FC
authors.lastname: Sung
authors.forename: Chi-Jung
authors.initials: CJ
authors.lastname: Chung
mesh_terms: D000367:Age Factors; D000368:Aged; D044466:Asian People; D005260:Female; D019337:Hematologic Neoplasms / Q000175:diagnosis* / Q000208:ethnology; D006801:Humans; D015994:Incidence; D007345:Insurance Claim Review / Q000706:statistics & numerical data; D053208:Kaplan-Meier Estimate; D008297:Male; D008875:Middle Aged; D009101:Multiple Myeloma / Q000175:diagnosis* / Q000208:ethnology; D016609:Neoplasms, Second Primary / Q000175:diagnosis* / Q000208:ethnology; D011159:Population Surveillance / Q000379:methods*; D016016:Proportional Hazards Models; D012042:Registries / Q000706:statistics & numerical data; D012189:Retrospective Studies; D012307:Risk Factors; D013624:Taiwan / Q000453:epidemiology; D013997:Time Factors