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      Changing epidemiology of congenital heart disease: effect on outcomes and quality of care in adults

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          A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

          The objective of this study was to compare performance of logistic regression (LR) with machine learning (ML) for clinical prediction modeling in the literature.
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            Birth prevalence of congenital heart disease worldwide: a systematic review and meta-analysis.

            Congenital heart disease (CHD) accounts for nearly one-third of all major congenital anomalies. CHD birth prevalence worldwide and over time is suggested to vary; however, a complete overview is missing. This systematic review included 114 papers, comprising a total study population of 24,091,867 live births with CHD identified in 164,396 individuals. Birth prevalence of total CHD and the 8 most common subtypes were pooled in 5-year time periods since 1930 and in continent and income groups since 1970 using the inverse variance method. Reported total CHD birth prevalence increased substantially over time, from 0.6 per 1,000 live births (95% confidence interval [CI]: 0.4 to 0.8) in 1930 to 1934 to 9.1 per 1,000 live births (95% CI: 9.0 to 9.2) after 1995. Over the last 15 years, stabilization occurred, corresponding to 1.35 million newborns with CHD every year. Significant geographical differences were found. Asia reported the highest CHD birth prevalence, with 9.3 per 1,000 live births (95% CI: 8.9 to 9.7), with relatively more pulmonary outflow obstructions and fewer left ventricular outflow tract obstructions. Reported total CHD birth prevalence in Europe was significantly higher than in North America (8.2 per 1,000 live births [95% CI: 8.1 to 8.3] vs. 6.9 per 1,000 live births [95% CI: 6.7 to 7.1]; p < 0.001). Access to health care is still limited in many parts of the world, as are diagnostic facilities, probably accounting for differences in reported birth prevalence between high- and low-income countries. Observed differences may also be of genetic, environmental, socioeconomical, or ethnic origin, and there needs to be further investigation to tailor the management of this global health problem. Copyright © 2011 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
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              2020 ESC Guidelines for the management of adult congenital heart disease

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Nature Reviews Cardiology
                Nat Rev Cardiol
                Springer Science and Business Media LLC
                1759-5002
                1759-5010
                August 31 2022
                Article
                10.1038/s41569-022-00749-y
                36045220
                b93e5807-e059-4a49-ac40-1cff4ebcc7be
                © 2022

                https://www.springer.com/tdm

                https://www.springer.com/tdm

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