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Development and validation of a risk prediction model in patients with adult congenital heart disease

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023884%3A_____%2F19%3A00007859" target="_blank" >RIV/00023884:_____/19:00007859 - isvavai.cz</a>

  • Alternative codes found

    RIV/00064203:_____/19:10394227

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/abs/pii/S0167527318339536?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0167527318339536?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ijcard.2018.08.059" target="_blank" >10.1016/j.ijcard.2018.08.059</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Development and validation of a risk prediction model in patients with adult congenital heart disease

  • Original language description

    Aims To develop and validate a clinically useful risk prediction tool for patients with adult congenital heart disease (ACHD). Methods and results A risk model was developed in a prospective cohort of 602 patients with moderate/complex ACHD who routinely visited the outpatient clinic of a tertiary care centre in the Netherlands (2011−2013). This model was externally validated in a retrospective cohort of 402 ACHD patients (Czech Republic, 2004–2013). The primary endpoint was the 4-year risk of death, heart failure, or arrhythmia, which occurred in 135 of 602 patients (22%). Model development was performed using multivariable logistic regression. Model performance was assessed with C-statistics and calibration plots. Of the 14 variables that were selected by an expert panel, the final prediction model included age (OR 1.02, 95%CI 1.00–1.03, p = 0.031), congenital diagnosis (OR 1.52, 95%CI 1.03–2.23, p = 0.034), NYHA class (OR 1.74, 95%CI 1.07–2.84, p = 0.026), cardiac medication (OR 2.27, 95%CI 1.56–3.31, p < 0.001), re-intervention (OR 1.41, 95%CI 0.99–2.01, p = 0.060), BMI (OR 1.03, 95%CI 0.99–1.07, p = 0.123), and NT-proBNP (OR 1.63, 95%CI 1.45–1.84, p < 0.001). Calibration-in-the-large was suboptimal, reflected by a lower observed event rate in the validation cohort (17%) than predicted (36%), likely explained by heterogeneity and different treatment strategies. The externally validated C-statistic was 0.78 (95%CI 0.72–0.83), indicating good discriminative ability. Conclusion The proposed ACHD risk score combines six readily available clinical characteristics and NT-proBNP. This tool is easy to use and can aid in distinguishing high- and low-risk patients, which could further streamline counselling, location of care, and treatment in ACHD.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30201 - Cardiac and Cardiovascular systems

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Cardiology

  • ISSN

    0167-5273

  • e-ISSN

  • Volume of the periodical

    276

  • Issue of the periodical within the volume

    February

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    6

  • Pages from-to

    87-92

  • UT code for WoS article

    000454877900021

  • EID of the result in the Scopus database

    2-s2.0-85054128640