Jensen Rikke Hedegaard, Teglgaard Christian, Nielsen Lars Hernández, Bertelsen Lise Dueholm, Christensen Heidi Søgaard, Bøgsted Martin, Severinsen Marianne Tang
Center for Clinical Data Science, Department of Clinical Medicine, Aalborg University and Research, Education, and Innovation, Aalborg University Hospital, Aalborg, Denmark.
Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.
Environ Health. 2025 Apr 12;24(1):21. doi: 10.1186/s12940-025-01177-4.
Although various occupational and environmental exposures are suspected risk factors for acute myeloid leukaemia (AML), the aetiology of AML is largely unknown. We present an analysis of the spatial distribution of AML in Denmark on an unprecedented, detailed scale. Such investigations have the potential to uncover geographical areas of increased risk, which may in turn be tied to environmental or occupational exposures.
Individuals diagnosed with AML during 2000-2020 were obtained from the Danish National Acute Leukaemia Registry and assigned to a parish based on their residence six months prior to diagnosis. The incidence rate ratio (IRR) by parish was calculated as the ratio between the age- and sex-standardised incidence rate and the national incidence rate. The IRRs were smoothed using a spatial Poisson distributed generalised linear mixed model with a conditional autoregressive correlation structure. Parishes with a smoothed IRR > 1.10 with a posterior probability > 75% were considered to have an increased risk of AML.
The study included 5,177 AML cases. The spatial model showed a homogeneous distribution of AML in Denmark with no parishes having an increased risk.
The study indicates that the risk of developing AML in Denmark is not affected by place of residence, suggesting that if an unknown environmental or occupational risk factor is present, it does not seem to be associated with specific areas.
尽管各种职业和环境暴露被怀疑是急性髓系白血病(AML)的危险因素,但AML的病因在很大程度上仍不清楚。我们以前所未有的详细规模对丹麦AML的空间分布进行了分析。此类调查有可能发现风险增加的地理区域,而这些区域可能反过来与环境或职业暴露有关。
从丹麦国家急性白血病登记处获取2000年至2020年期间被诊断为AML的个体,并根据他们诊断前六个月的居住地将其分配到一个教区。按教区计算发病率比(IRR),即年龄和性别标准化发病率与全国发病率之比。使用具有条件自回归相关结构的空间泊松分布广义线性混合模型对IRR进行平滑处理。平滑IRR>1.10且后验概率>75%的教区被认为AML风险增加。
该研究纳入了5177例AML病例。空间模型显示丹麦AML分布均匀,没有教区风险增加。
该研究表明,丹麦患AML的风险不受居住地影响,这表明如果存在未知的环境或职业风险因素,它似乎与特定区域无关。