Biostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Bielefeld, Germany.
Department of Statistics, Ludwig-Maximilians-University Munich, München, Germany.
PLoS One. 2022 Mar 7;17(3):e0264739. doi: 10.1371/journal.pone.0264739. eCollection 2022.
Accurate projections of the future number of people with chronic diseases are necessary for effective resource allocation and health care planning in response to changes in disease burden.
To introduce and compare different projection methods to estimate the number of people with diagnosed type 2 diabetes (T2D) in Germany in 2040.
We compare three methods to project the number of males with T2D in Germany in 2040. Method 1) simply combines the sex- and age-specific prevalence of T2D in 2010 with future population distributions projected by the German Federal Statistical Office (FSO). Methods 2) and 3) additionally account for the incidence of T2D and mortality rates using partial differential equations (PDEs). Method 2) models the prevalence of T2D employing a scalar PDE which incorporates incidence and mortality rates. Subsequently, the estimated prevalence is applied to the population projection of the FSO. Method 3) uses a two-dimensional system of PDEs and estimates future case numbers directly while future mortality of people with and without T2D is modelled independently from the projection of the FSO.
Method 1) projects 3.6 million male people with diagnosed T2D in Germany in 2040. Compared to 2.8 million males in 2010, this equals an increase by 29%. Methods 2) and 3) project 5.9 million (+104% compared to 2010) and 6.0 million (+116%) male T2D patients, respectively.
The results of the three methods differ substantially. It appears that ignoring temporal trends in incidence and mortality may result in misleading projections of the future number of people with chronic diseases. Hence, it is essential to include these rates as is done by method 2) and 3).
为了应对疾病负担的变化,准确预测未来患有慢性病的人数对于有效分配资源和进行医疗保健规划至关重要。
介绍并比较不同的预测方法,以估计 2040 年德国男性 2 型糖尿病(T2D)患者人数。
我们比较了三种方法来预测 2040 年德国男性 T2D 患者人数。方法 1)简单地将 2010 年 T2D 的性别和年龄特异性患病率与德国联邦统计局(FSO)预测的未来人口分布相结合。方法 2)和 3)还通过偏微分方程(PDE)考虑了 T2D 的发病率和死亡率。方法 2)使用包含发病率和死亡率的标量 PDE 来模拟 T2D 的患病率。随后,将估计的患病率应用于 FSO 的人口预测。方法 3)使用二维 PDE 系统直接估计未来的病例数,同时独立于 FSO 的预测对 T2D 患者和非 T2D 患者的未来死亡率进行建模。
方法 1)预测 2040 年德国将有 360 万男性患有确诊的 T2D。与 2010 年的 280 万男性相比,这相当于增加了 29%。方法 2)和 3)分别预测 590 万(比 2010 年增加 104%)和 600 万(比 2010 年增加 116%)男性 T2D 患者。
这三种方法的结果存在很大差异。似乎忽略发病率和死亡率的时间趋势可能会导致对未来慢性病患者人数的误导性预测。因此,必须像方法 2)和 3)那样包括这些比率。