德国的肌炎:2005年至2019年15年的流行病学见解。

Marc Pawlitzki, Laura Acar, Lars Masanneck, Alice Willison, Liesa Regner-Nelke, Christopher Nelke, Helmut L'hoest, Ursula Marschall, Jens Schmidt, Sven G Meuth, Tobias Ruck
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引用次数: 3

摘要

背景:肌炎患者的医疗护理是临床实践中的一大挑战。这是由于这些疾病的罕见性,诊断和管理的复杂性以及缺乏系统的分析。目的:因此,该项目的目的是对德国肌炎患者的护理现状进行概述,并评估近年来的流行病学趋势。方法:与BARMER保险公司合作,使用ICD-10肌炎代码对2005年1月至2019年12月期间平均约870万参保患者的门诊和住院数据进行回顾性分析,以识别相关数据。此外,在肌炎患者和来自BARMER保险的其他人群的年龄匹配的对照组之间进行了比较分析。结果:45,800名barmer参保个体在观察期间被诊断为肌炎,患病率相对稳定。在合并症方面,与barmer保险人群中的对照组相比,观察到心血管疾病和肿瘤的发生率明显更高。此外,肌炎患者更常患有精神疾病,如抑郁症和躯体形式障碍。然而,ICD-10目录仅包括“皮肌炎”和“多发性肌炎”的特定编码,因此不允许对所有特发性炎症性肌病亚型进行充分分析。结论:目前的数据提供了德国肌炎的全面流行病学分析,突出了肌炎患者的多病性。这强调了多学科管理的必要性。然而,目前仍在使用的ICD-10编码不允许对肌炎亚型进行具体分析。即将发布的ICD-11编码可能会改进这方面的未来分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Myositis in Germany: epidemiological insights over 15 years from 2005 to 2019.

Background: The medical care of patients with myositis is a great challenge in clinical practice. This is due to the rarity of these disease, the complexity of diagnosis and management as well as the lack of systematic analyses.

Objectives: Therefore, the aim of this project was to obtain an overview of the current care of myositis patients in Germany and to evaluate epidemiological trends in recent years.

Methods: In collaboration with BARMER Insurance, retrospective analysis of outpatient and inpatient data from an average of approximately 8.7 million insured patients between January 2005 and December 2019 was performed using ICD-10 codes for myositis for identification of relevant data. In addition, a comparative analysis was performed between myositis patients and an age-matched comparison group from other populations insured by BARMER.

Results: 45,800 BARMER-insured individuals received a diagnosis of myositis during the observation period, with a relatively stable prevalence throughout. With regard to comorbidities, a significantly higher rate of cardiovascular disease as well as neoplasm was observed compared to the control group within the BARMER-insured population. In addition, myositis patients suffer more frequently from psychiatric disorders, such as depression and somatoform disorders. However, the ICD-10 catalogue only includes the specific coding of "dermatomyositis" and "polymyositis" and thus does not allow for a sufficient analysis of all idiopathic inflammatory myopathies subtypes.

Conclusion: The current data provide a comprehensive epidemiological analysis of myositis in Germany, highlighting the multimorbidity of myositis patients. This underlines the need for multidisciplinary management. However, the ICD-10 codes currently still in use do not allow for specific analysis of the subtypes of myositis. The upcoming ICD-11 coding may improve future analyses in this regard.

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