Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Department of Cardiology, Amsterdam University Medical Centres, location VUmc, Amsterdam, The Netherlands.
BMC Cardiovasc Disord. 2021 Jun 10;21(1):287. doi: 10.1186/s12872-021-02020-7.
Despite the increasing availability of clinical data due to the digitalisation of healthcare systems, data often remain inaccessible due to the diversity of data collection systems. In the Netherlands, Cardiology Centers of the Netherlands (CCN) introduced "one-stop shop" diagnostic clinics for patients suspected of cardiac disease by their general practitioner. All CCN clinics use the same data collection system and standardised protocol, creating a large regular care database. This database can be used to describe referral practices, evaluate risk factors for cardiovascular disease (CVD) in important patient subgroups, and develop prediction models for use in daily care.
The current database contains data on all patients who underwent a cardiac workup in one of the 13 CCN clinics between 2007 and February 2018 (n = 109,151, 51.9% women). Data were pseudonymised and contain information on anthropometrics, cardiac symptoms, risk factors, comorbidities, cardiovascular and family history, standard blood laboratory measurements, transthoracic echocardiography, electrocardiography in rest and during exercise, and medication use. Clinical follow-up is based on medical need and consisted of either a repeat visit at CCN (43.8%) or referral for an external procedure in a hospital (16.5%). Passive follow-up via linkage to national mortality registers is available for 95% of the database.
The CCN database provides a strong base for research into historically underrepresented patient groups due to the large number of patients and the lack of in- and exclusion criteria. It also enables the development of artificial intelligence-based decision support tools. Its contemporary nature allows for comparison of daily care with the current guidelines and protocols. Missing data is an inherent limitation, as the cardiologist could deviate from standardised protocols when clinically indicated.
The CCN database offers the opportunity to conduct research in a unique population referred from the general practitioner to the cardiologist for diagnostic workup. This, in combination with its large size, the representation of historically underrepresented patient groups and contemporary nature makes it a valuable tool for expanding our knowledge of cardiovascular diseases.
Not applicable.
尽管由于医疗系统的数字化,临床数据的可用性不断增加,但由于数据收集系统的多样性,数据往往仍然无法访问。在荷兰,荷兰心脏病中心(CCN)为其全科医生怀疑患有心脏病的患者引入了“一站式”诊断诊所。所有 CCN 诊所都使用相同的数据收集系统和标准化协议,创建了一个大型常规护理数据库。该数据库可用于描述转诊实践,评估重要患者亚组中心血管疾病(CVD)的风险因素,并开发用于日常护理的预测模型。
当前的数据库包含 2007 年至 2018 年 2 月期间在 13 个 CCN 诊所之一接受心脏检查的所有患者的数据(n=109151,51.9%为女性)。数据已被匿名化,包含人体测量学、心脏症状、风险因素、合并症、心血管和家族史、标准血液实验室测量值、经胸超声心动图、静息和运动时心电图以及药物使用情况的信息。临床随访基于医疗需求,包括在 CCN 进行复诊(43.8%)或转诊至医院进行外部手术(16.5%)。通过与国家死亡率登记处的链接,可获得数据库中 95%的患者的被动随访信息。
CCN 数据库为研究由于患者数量众多且缺乏纳入和排除标准而历史上代表性不足的患者群体提供了坚实的基础。它还能够开发基于人工智能的决策支持工具。其现代性质允许将日常护理与当前的指南和协议进行比较。缺失数据是一个固有的限制,因为当临床需要时,心脏病专家可能会偏离标准化协议。
CCN 数据库为从全科医生转诊到心脏病专家进行诊断性检查的独特人群进行研究提供了机会。再加上其规模庞大、代表历史上代表性不足的患者群体以及现代性质,使其成为扩展我们对心血管疾病认识的宝贵工具。
不适用。