van Straalen Roel J M, de Boer Michiel R, Vos Francine, Werker Paul M N, Broekstra Dieuwke C
Department of Plastic Surgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Department of General practice and Elderly Care, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Scand J Prim Health Care. 2025 Mar;43(1):173-180. doi: 10.1080/02813432.2024.2416678. Epub 2024 Oct 18.
The focus of research and management of Dupuytren's disease (DD) is shifting from relieving symptoms in the later stages of disease towards the prevention of contractures. Treatment services might likewise shift towards primary care. Studying characteristics of DD patients who seek medical care for the first time, may identify a symptomatic target group for early DD treatments. We present the first study that estimates the incidence and prevalence of DD in primary care by applying a text-mining algorithm to registration data.
This is a population-based cohort study using electronic health records from Dutch general practices involved in a regional research network. Descriptive statistics were used to describe sex, age, comorbidities and lifestyle factors, the latter two were identified International Classification of Primary Care (ICPC) codes. Incidence rate was calculated as number of patients with a first contact for DD/1000 person years for the years 2017-2021, point prevalence as the percentage of patients with a contact for DD in 2021. DD contacts were identified using a text-mining algorithm.
The incidence ranged between 1.41 and 1.72/1000 person years and the overall prevalence was 1.99%. Incidence and prevalence are higher among males and increase with age, peaking between 61 and 80 years.
Our results of prevalence and incidence of DD in primary care give an insight into the relevant population of patients with symptomatic DD that might be the future target group for potential disease controlling treatments.
掌腱膜挛缩症（DD）的研究和管理重点正从缓解疾病后期症状转向预防挛缩。治疗服务可能同样会转向初级保健。研究首次寻求医疗护理的DD患者的特征，可能会确定早期DD治疗的有症状目标群体。我们开展了第一项研究，通过对登记数据应用文本挖掘算法来估计初级保健中DD的发病率和患病率。
这是一项基于人群的队列研究，使用来自参与区域研究网络的荷兰全科医疗的电子健康记录。描述性统计用于描述性别、年龄、合并症和生活方式因素，后两者通过国际初级保健分类（ICPC）代码确定。发病率计算为2017 - 2021年首次因DD就诊的患者人数/1000人年，时点患病率为2021年因DD就诊的患者百分比。通过文本挖掘算法识别DD就诊情况。
发病率在1.41至1.72/1000人年之间，总体患病率为1.99%。男性的发病率和患病率更高，且随年龄增长而增加，在61至80岁之间达到峰值。
我们关于初级保健中DD患病率和发病率的结果，深入了解了有症状DD患者的相关人群，这些人群可能是未来潜在疾病控制治疗的目标群体。
