Background and aims Hypertension is a leading risk factor for cardiovascular disease. Electronic health records (EHRs) are routinely collected throughout a person’s care, recording all aspects of health status, including current and past conditions, prescriptions and test results. EHRs can be used for epidemiological research. However, there are nuances in the way conditions are recorded using clinical coding; it is important to understand the methods which have been applied to define exposures, covariates and outcomes to enable interpretation of study findings. This study aimed to identify codelists used to define hypertension in studies that use EHRs and generate recommended codelists to support reproducibility and consistency. Eligibility criteria Studies included populations with hypertension defined within an EHR between January 2010 and August 2023 and were systematically identified using MEDLINE and Embase. A summary of the most frequently used sources and codes is described. Due to an absence of Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) codelists in the literature, a recommended SNOMED CT codelist was developed to aid consistency and standardisation of hypertension research using EHRs. Findings 375 manuscripts met the study criteria and were eligible for inclusion, and 112 (29.9%) reported codelists. The International Classification of Diseases (ICD) was the most frequently used clinical terminology, 59 manuscripts provided ICD 9 codelists (53%) and 58 included ICD 10 codelists (52%). Informed by commonly used ICD and Read codes, usage recommendations were made. We derived SNOMED CT codelists informed by National Institute for Health and Care Excellence guidelines for hypertension management. It is recommended that these codelists be used to identify hypertension in EHRs using SNOMED CT codes. Conclusions Less than one-third of hypertension studies using EHRs included their codelists. Transparent methodology for codelist creation is essential for replication and will aid interpretation of study findings. We created SNOMED CT codelists to support and standardise hypertension definitions in EHR studies. All data relevant to the study are included in the article or uploaded as supplementary information. All works included in this analysis are referenced in the supplementary Excel file. No additional data not located within the manuscripts were used.

中文翻译：

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审查电子健康记录中用于定义高血压的代码表并开发用于研究的代码表

背景和目标高血压是心血管疾病的主要危险因素。电子健康记录 (EHR) 在个人护理过程中定期收集，记录健康状况的各个方面，包括当前和过去的状况、处方和测试结果。 EHR 可用于流行病学研究。然而，使用临床编码记录病情的方式存在细微差别；重要的是要了解用于定义暴露、协变量和结果的方法，以便解释研究结果。本研究旨在确定在使用 EHR 的研究中用于定义高血压的代码列表，并生成推荐的代码列表以支持可重复性和一致性。资格标准 研究包括 2010 年 1 月至 2023 年 8 月期间 EHR 中定义的高血压人群，并使用 MEDLINE 和 Embase 进行系统识别。描述了最常用的源和代码的摘要。由于文献中缺乏医学临床术语系统命名法 (SNOMED CT) 代码列表，因此开发了推荐的 SNOMED CT 代码列表，以帮助使用 EHR 进行高血压研究的一致性和标准化。结果 375 篇稿件符合研究标准并有资格纳入，其中 112 篇（29.9%）报告了代码列表。国际疾病分类 (ICD) 是最常用的临床术语，59 篇手稿提供了 ICD 9 代码列表 (53%)，58 篇包含 ICD 10 代码列表 (52%)。根据常用的ICD和Read码，提出了使用建议。我们根据国家健康与护理卓越研究所的高血压管理指南得出了 SNOMED CT 代码列表。建议使用这些代码列表来使用 SNOMED CT 代码来识别 EHR 中的高血压。结论 使用 EHR 的高血压研究中只有不到三分之一包含其代码列表。透明的代码列表创建方法对于复制至关重要，并且有助于解释研究结果。我们创建了 SNOMED CT 代码列表来支持和标准化 EHR 研究中的高血压定义。与研究相关的所有数据都包含在文章中或作为补充信息上传。补充 Excel 文件中引用了此分析中包含的所有作品。未使用手稿中未包含的其他数据。