{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Diallo AO"],"funding":["NCATS NIH HHS","National Institutes of Health","Intramural CDC HHS"],"pagination":["1634-1642"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6319253"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["25(12)"],"pubmed_abstract":["<h4>Background</h4>The prevalence of moderate or complex (moderate-complex) congenital heart defects (CHDs) among adults is increasing due to improved survival, but many patients experience lapses in specialty care or their CHDs are undocumented in the medical system. There is, to date, no efficient approach to identify this population.<h4>Objective</h4>To develop and assess the performance of a risk score to identify adults aged 20-60 years with undocumented specific moderate-complex CHDs from electronic health records (EHR).<h4>Methods</h4>We used a case-control study (596 adults with specific moderate-complex CHDs and 2384 controls). We extracted age, race/ethnicity, electrocardiogram (EKG), and blood tests from routine outpatient visits (1/2009 through 12/2012). We used multivariable l"],"journal":["Journal of the American Medical Informatics Association : JAMIA"],"pubmed_title":["Detecting moderate or complex congenital heart defects in adults from an electronic health records system."],"pmcid":["PMC6319253"],"funding_grant_id":["CC999999","TL1 TR002382","UL1 TR002378"],"pubmed_authors":["Book W","Krishnaswamy A","Adams JC","Oster ME","Walker ER","Shapira SK","George MG","Ali MK","Diallo AO","Weiss P"],"additional_accession":[]},"is_claimable":false,"name":"Detecting moderate or complex congenital heart defects in adults from an electronic health records system.","description":"<h4>Background</h4>The prevalence of moderate or complex (moderate-complex) congenital heart defects (CHDs) among adults is increasing due to improved survival, but many patients experience lapses in specialty care or their CHDs are undocumented in the medical system. There is, to date, no efficient approach to identify this population.<h4>Objective</h4>To develop and assess the performance of a risk score to identify adults aged 20-60 years with undocumented specific moderate-complex CHDs from electronic health records (EHR).<h4>Methods</h4>We used a case-control study (596 adults with specific moderate-complex CHDs and 2384 controls). We extracted age, race/ethnicity, electrocardiogram (EKG), and blood tests from routine outpatient visits (1/2009 through 12/2012). We used multivariable l","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018 Dec","modification":"2025-04-04T01:45:02.119Z","creation":"2020-05-21T21:22:21Z"},"accession":"S-EPMC6319253","cross_references":{"pubmed":["30541125"],"doi":["10.1093/jamia/ocy127"]}}