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英国系统性硬化症的流行病学:临床实践研究数据库分析。

Epidemiology of systemic sclerosis in the UK: an analysis of the Clinical Practice Research Datalink.

机构信息

Department of Pharmacy and Pharmacology, University of Bath, Bath, UK.

Department of Rheumatology, Royal National Hospital for Rheumatic Diseases, Royal United Hospitals NHS Foundation Trust, Bath, UK.

出版信息

Rheumatology (Oxford). 2021 Jun 18;60(6):2688-2696. doi: 10.1093/rheumatology/keaa680.

Abstract

OBJECTIVES

We developed and tested a robust case ascertainment strategy within the Clinical Practice Research Datalink (CPRD), with the aim of assessing the incidence, prevalence, mortality and delay in diagnosis of SSc in the UK.

METHODS

A two-stage case ascertainment strategy was devised and tested to establish a valid cohort of SSc cases within the CPRD. Incidence, prevalence and mortality statistics were analysed, alongside evaluation of the relationship between primary care codes for RP and SSc to examine diagnostic delay.

RESULTS

SSc Read codes were identified in 3123 patients (from a study cohort of >10.1 million individuals). Of these, 1757 cases of SSc were identified using our case ascertainment approach. The overall incidence rate of SSc over the period between 1999 and 2017 was 10.7/million/year (95% CI: 9.9-11.4), being higher in females [17.69/million/year (95% CI: 16.32-19.07)] than in males [3.59/million/year (95% CI: 2.97-4.21)]. The overall prevalence of SSc in adults was 235.5/million (95% CI: 207.2-245.7). The mean rate of mortality was 32/1000 person-years, with an overall standardized mortality ratio of 3.51 (95% CI: 3.19-3.84). Of those with an initial code of RP prior to a Read code of SSc, 191/854 (22.4%) had a lag period of >10 years.

CONCLUSION

We have developed and tested a robust case ascertainment strategy to examine the incidence, prevalence, mortality and diagnostic delay of SSc using primary care records of over 10 million UK residents. A significant lag between coding of RP and SSc in many patients suggests diagnostic delay in SSc remains an important unmet need.

摘要

目的

我们在临床实践研究数据链(CPRD)中开发并测试了一种强大的病例确定策略,旨在评估英国硬皮病的发病率、患病率、死亡率和诊断延迟。

方法

设计并测试了一种两阶段的病例确定策略,以在 CPRD 中建立一个有效的硬皮病病例队列。分析了发病率、患病率和死亡率统计数据,并评估了初级保健 RP 代码与硬皮病之间的关系,以检查诊断延迟。

结果

在 3123 名患者(来自超过 1010 万个体的研究队列)中确定了硬皮病 Read 代码。其中,使用我们的病例确定方法确定了 1757 例硬皮病病例。1999 年至 2017 年间,硬皮病的总发病率为 10.7/百万/年(95%CI:9.9-11.4),女性发病率较高[17.69/百万/年(95%CI:16.32-19.07)]高于男性[3.59/百万/年(95%CI:2.97-4.21)]。成年硬皮病的总体患病率为 235.5/百万(95%CI:207.2-245.7)。平均死亡率为 32/1000 人年,总体标准化死亡率比为 3.51(95%CI:3.19-3.84)。在那些在硬皮病 Read 代码之前有 RP 初始代码的患者中,有 191/854(22.4%)的患者存在>10 年的滞后期。

结论

我们使用超过 1000 万英国居民的初级保健记录开发并测试了一种强大的病例确定策略,以检查硬皮病的发病率、患病率、死亡率和诊断延迟。许多患者中 RP 和硬皮病之间的编码存在显著滞后,表明硬皮病的诊断延迟仍然是一个重要的未满足需求。

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