[Establishment of Primary Adult @entity2590 Nested Case-Control Study Cohort and Study of Risk Factors Associated with @entity2590 Evolution to XXXX ].

@entity1 @entity417 @entity7760 @entity2590 @entity1503 @entity1778 @entity1583 @entity2008
OBJECTIVE: To establish a nested case-control study cohort in @entity2590 ( @entity2590 ) @entity1 and investigate the clinical characteristics, WHO subtype and risk factors associated with @entity2590 evolution to @entity1778 of this cohort. METHODS: All @entity1 , >= 18 years of age, provided by 24 Shanghai hospitals with initial clinical findings consistent with a @entity1583 between June 2003 and April 2007, were the candidates for inclusion in this study. The blood and bone marrow samples of every @entity1 should be provided at baseline. Diagnosis was made by incorporating morphologic, immunophenotypic, cytogenetic and molecular features according to WHO classification criteria. Cytogenetic analysis was performed using conventional G-banding karyotyping and fluorescence in situ hybridization (FISH) techniques. Cumulative risk of evolution was estimated by Kaplan-Meier method. Prognostic factors were evaluated by univariate Log-rank method and multivariate Cox proportional hazard models. RESULTS: A total of 435 @entity1 were diagnosed as @entity2590 . The median age of @entity2590 onset was 58(18-90) years, with 248 male @entity1 and 187 female @entity1 (male: female 1.33: 1). The percentage of cases with @entity1503 ( @entity1503 ) was the highest (65.5%), while that of @entity417 ( @entity417 ) (2.3%), refractory anenia with ring sideroblast (RARS) (1.1%) and @entity7760 (0.5%) was lower. Trisomy 8 (+8) was the most common @entity2008 (71 cases, 12.7%). The mean follow-up time was 20.3 (4.2-57.1) months. Cases were @entity1 with evolution by the end of follow-up, while controls were @entity1 without evolution by that time. Case group included 41 @entity1 and control group included 342 @entity1 . Univariate analysis showed that the age, sex, WHO subtype, WBC count, absolute neutrophil count (ANC), IPSS cytogenetic subgroup, IPSS group and bone marrow blast percentage were significant risk factors for @entity1778 ( @entity1778 ). Multivariate analysis of COX model showed that the age, sex, WHO subtype, IPSS cytogenetic subgroup and bone marrow blast were independent risk factors for @entity1778 . CONCLUSION: A nested case-control study cohort of @entity2590 @entity1 is established. The clinical characteristics and WHO subtype of @entity2590 @entity1 in Chinese Shanghai are different from that in Western countries. The independent risk factors for @entity2590 evolution are age, sex, WHO subtype, IPSS cytogenetic subgroup and bone marrow blast percentage.
