دورية أكاديمية
Routine clinical care data from thirteen cardiac outpatient clinics: design of the Cardiology Centers of the Netherlands (CCN) database.
| العنوان: | Routine clinical care data from thirteen cardiac outpatient clinics: design of the Cardiology Centers of the Netherlands (CCN) database. |
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| المؤلفون: | Bots SH; Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., Siegersma KR; 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., Onland-Moret NC; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., Asselbergs FW; Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.; Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK.; Health Data Research UK and Institute of Health Informatics, University College London, London, UK., Somsen GA; Cardiology Centers of the Netherlands, Amsterdam, The Netherlands., Tulevski II; Cardiology Centers of the Netherlands, Amsterdam, The Netherlands., den Ruijter HM; Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands. H.M.denRuijter-2@umcutrecht.nl., Hofstra L; Department of Cardiology, Amsterdam University Medical Centres, location VUmc, Amsterdam, The Netherlands.; Cardiology Centers of the Netherlands, Amsterdam, The Netherlands. |
| المصدر: | BMC cardiovascular disorders [BMC Cardiovasc Disord] 2021 Jun 10; Vol. 21 (1), pp. 287. Date of Electronic Publication: 2021 Jun 10. |
| نوع المنشور: | Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968539 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2261 (Electronic) Linking ISSN: 14712261 NLM ISO Abbreviation: BMC Cardiovasc Disord Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: London : BioMed Central, [2001- |
| مواضيع طبية MeSH: | Ambulatory Care* , Cardiology Service, Hospital* , Databases, Factual* , Outpatient Clinics, Hospital* , Research Design*, Heart Diseases/*therapy, Aged ; Data Mining ; Female ; Health Services Research ; Heart Disease Risk Factors ; Heart Diseases/diagnosis ; Heart Diseases/epidemiology ; Humans ; Male ; Middle Aged ; Netherlands/epidemiology ; Practice Patterns, Physicians' ; Prevalence ; Prognosis ; Referral and Consultation ; Risk Assessment ; Time Factors |
| مستخلص: | 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. |
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| فهرسة مساهمة: | Keywords: Big data; Cardiovascular care; Clinical care data; Prevention |
| تواريخ الأحداث: | Date Created: 20210611 Date Completed: 20211011 Latest Revision: 20211011 |
| رمز التحديث: | 20240628 |
| مُعرف محوري في PubMed: | PMC8191101 |
| DOI: | 10.1186/s12872-021-02020-7 |
| PMID: | 34112101 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 1471-2261 |
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| DOI: | 10.1186/s12872-021-02020-7 |