Larfors Gunnar, Sandin Fredrik, Richter Johan, Själander Anders, Stenke Leif, Lambe Mats, Höglund Martin
Unit of Haematology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Regional Cancer Center Uppsala-Örebro, Uppsala, Sweden.
Eur J Haematol. 2017 Apr;98(4):398-406. doi: 10.1111/ejh.12845. Epub 2017 Jan 16.
To evaluate the influence of socio-economic variables on treatment selection and survival of patients with chronic myeloid leukaemia (CML).
Using information available in population-based Swedish registries, we evaluated indices of health, education and economy from the 980 patients in the Swedish CML register diagnosed between 2002 and 2012. Apart from internal comparisons, five age-, gender- and region-matched control subjects per patient served as control cohort. Median follow-up time from CML diagnosis was 4.8 years.
Among patients with CML, low personal or household income, short education, living alone, poor performance status and high age (>60 years) were significantly associated with an inferior survival (in univariate analyses). However, similar findings were noted also in the matched control group, and in comparisons adjusted for calendar year, age and performance status, socio-economic variables were not significantly associated with CML survival. Meanwhile, both education and income were independently linked to TKI treatment overall and to upfront treatment with second-generation TKIs.
In conclusion, socio-economic conditions were associated with survival in the studied CML cohort but these associations could be explained by differences at baseline. Meanwhile, socio-economic conditions appeared to influence treatment choice.
评估社会经济变量对慢性髓性白血病(CML)患者治疗选择和生存的影响。
利用瑞典基于人群的登记处提供的信息,我们评估了2002年至2012年间在瑞典CML登记处确诊的980例患者的健康、教育和经济指标。除了内部比较外,每位患者有五名年龄、性别和地区匹配的对照受试者作为对照队列。从CML诊断开始的中位随访时间为4.8年。
在CML患者中,个人或家庭收入低、教育年限短、独居、体能状态差和年龄较大(>60岁)与较差的生存率显著相关(单因素分析)。然而,在匹配的对照组中也观察到了类似的结果,并且在根据日历年、年龄和体能状态进行调整的比较中,社会经济变量与CML生存率无显著关联。同时,教育和收入均与总体TKI治疗以及第二代TKI的一线治疗独立相关。
总之,社会经济状况与所研究的CML队列的生存相关,但这些关联可以用基线差异来解释。同时,社会经济状况似乎会影响治疗选择。