TY - JOUR
T1 - Routine clinical care data from thirteen cardiac outpatient clinics
T2 - design of the Cardiology Centers of the Netherlands (CCN) database
AU - Bots, Sophie H
AU - Siegersma, Klaske R
AU - Onland-Moret, N Charlotte
AU - Asselbergs, Folkert W
AU - Somsen, G Aernout
AU - Tulevski, Igor I
AU - den Ruijter, Hester M
AU - Hofstra, Leonard
N1 - Funding Information:
This study was funded by the Dutch Heart Foundation (2018B017, CVON-AI) and by ZonMw (849100003, Reviews en Kennissyntheses Gender en Gezondheid). Folkert Asselbergs is supported by UCL Hospitals NIHR Biomedical Research Centre. The funding instanced had no role in study design, data collection, decision to publish or preparation of the manuscript.
Funding Information:
FA is supported by UCL Hospitals NIHR Biomedical Research Centre. GS, IT and LH are employed by Cardiology Centers of the Netherlands. The other authors have no conflict of interest to declare.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/6/10
Y1 - 2021/6/10
N2 - BACKGROUND: 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.CONSTRUCTION AND CONTENT: 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.UTILITY AND DISCUSSION: 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.CONCLUSION: 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.TRIAL REGISTRATION: Not applicable.
AB - BACKGROUND: 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.CONSTRUCTION AND CONTENT: 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.UTILITY AND DISCUSSION: 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.CONCLUSION: 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.TRIAL REGISTRATION: Not applicable.
KW - Big data
KW - Cardiovascular care
KW - Clinical care data
KW - Prevention
UR - http://www.scopus.com/inward/record.url?scp=85107604761&partnerID=8YFLogxK
U2 - 10.1186/s12872-021-02020-7
DO - 10.1186/s12872-021-02020-7
M3 - Article
C2 - 34112101
SN - 1471-2261
VL - 21
SP - 1
EP - 9
JO - BMC Cardiovascular Disorders
JF - BMC Cardiovascular Disorders
IS - 1
M1 - 287
ER -