期刊
JOURNAL OF THE FORMOSAN MEDICAL ASSOCIATION
卷 122, 期 6, 页码 505-513出版社
ELSEVIER TAIWAN
DOI: 10.1016/j.jfma.2022.10.007
关键词
Acute myeloid leukemia; Taiwan; Epidemiology; Population-based analysis; Survival
This retrospective cohort study analyzed a comprehensive population-based database in Taiwan from 2001 to 2015 to provide detailed information on patients with acute myeloid leukemia (AML). Results showed that AML is the most common acute leukemia in adults with high mortality. Factors such as age, sex, year of diagnosis, socio-economic status, and hospital level were associated with survival.
Objectives/Background: Acute myeloid leukemia (AML) is the most common acute leukemia in adults, with high mortality. To date, there is no comprehensive population-based analysis of patients with AML in Asia, including Taiwan. Material and methods: This is a retrospective cohort study using three population-based data-bases, namely, the Taiwan Cancer Registry, Taiwanese National Health Insurance Research Database, and Taiwan Death Registry, between 2001 and 2015 to provide detailed information on patients with AML and relevant clinical variables, such as sex, age, year of diagnosis, socio-economic status (SES) level, hospital level, treatment location, and Deyo-Charlson Comorbid-ity Index (Deyo-CCI) score. Results: Patients with newly diagnosed AML (n Z 9949) were included in the study. The median age was 60 years, and the overall age-adjusted AML incidence over 15 years was 2.44 per 100,000 person-years. The median overall survival (OS) of patients younger than 65 years was 18 months, whereas the OS of patients older than age 65 was only 5 months. AML patients with a prior cancer history had the worst outcomes, and the acute promyelocytic leukemia subtype predicted better survival. Patients who were older, male and a higher Deyo-CCI score had a significantly higher risk of death. In contrast, patients with a higher SES level and receiving treatment in a medical center had a lower risk of mortality than their respective counterparts.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据