{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T08:18:05Z","timestamp":1793089085939,"version":"4.5.0"},"reference-count":41,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"3","funder":[{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["U01DK060990"],"award-info":[{"award-number":["U01DK060990"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["U01DK060984"],"award-info":[{"award-number":["U01DK060984"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["U01DK061022"],"award-info":[{"award-number":["U01DK061022"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["U01DK061021"],"award-info":[{"award-number":["U01DK061021"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["U01DK061028"],"award-info":[{"award-number":["U01DK061028"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["U01DK060980"],"award-info":[{"award-number":["U01DK060980"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["U01DK060963"],"award-info":[{"award-number":["U01DK060963"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["U01DK060902"],"award-info":[{"award-number":["U01DK060902"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["U24DK060990"],"award-info":[{"award-number":["U24DK060990"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["UL1TR000003"],"award-info":[{"award-number":["UL1TR000003"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007880","name":"Johns Hopkins University","doi-asserted-by":"crossref","award":["UL1 TR-000424"],"award-info":[{"award-number":["UL1 TR-000424"]}],"id":[{"id":"10.13039\/100007880","id-type":"DOI","asserted-by":"crossref"}]},{"name":"University of Maryland General Clinical Research Center","award":["M01 RR-16500"],"award-info":[{"award-number":["M01 RR-16500"]}]},{"DOI":"10.13039\/100012729","name":"Clinical and Translational Science Collaborative of Cleveland","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100012729","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"crossref","award":["UL1TR000439"],"award-info":[{"award-number":["UL1TR000439"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100008269","name":"Michigan Institute for Clinical and Health Research","doi-asserted-by":"crossref","award":["UL1TR000433"],"award-info":[{"award-number":["UL1TR000433"]}],"id":[{"id":"10.13039\/100008269","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100008523","name":"University of Illinois at Chicago Clinical and Translational Science","doi-asserted-by":"crossref","award":["UL1RR029879"],"award-info":[{"award-number":["UL1RR029879"]}],"id":[{"id":"10.13039\/100008523","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Tulane COBRE for Clinical and Translational Research in Cardiometabolic Diseases","award":["P20 GM109036"],"award-info":[{"award-number":["P20 GM109036"]}]},{"name":"Kaiser Permanente, National Center for Research Resources","award":["UCSF-CTSI UL1 RR-024131"],"award-info":[{"award-number":["UCSF-CTSI UL1 RR-024131"]}]},{"name":"Department of Internal Medicine, University of New Mexico School of Medicine Albuquerque, New Mexico","award":["R01DK119199"],"award-info":[{"award-number":["R01DK119199"]}]},{"DOI":"10.13039\/100009633","name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["K12HD043451"],"award-info":[{"award-number":["K12HD043451"]}],"id":[{"id":"10.13039\/100009633","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["HHSN268201700001I"],"award-info":[{"award-number":["HHSN268201700001I"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["HHSN268201700002I"],"award-info":[{"award-number":["HHSN268201700002I"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["HHSN268201700003I"],"award-info":[{"award-number":["HHSN268201700003I"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["HHSN268201700004I"],"award-info":[{"award-number":["HHSN268201700004I"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["HHSN268201700005I"],"award-info":[{"award-number":["HHSN268201700005I"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["75N92020D00001"],"award-info":[{"award-number":["75N92020D00001"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["HHSN268201500003I"],"award-info":[{"award-number":["HHSN268201500003I"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["N01-HC-95159"],"award-info":[{"award-number":["N01-HC-95159"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["75N92020D00005"],"award-info":[{"award-number":["75N92020D00005"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["N01-HC-95160"],"award-info":[{"award-number":["N01-HC-95160"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["75N92020D00002"],"award-info":[{"award-number":["75N92020D00002"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["N01-HC-95161"],"award-info":[{"award-number":["N01-HC-95161"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["75N92020D00003"],"award-info":[{"award-number":["75N92020D00003"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["N01-HC-95162"],"award-info":[{"award-number":["N01-HC-95162"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["75N92020D00006"],"award-info":[{"award-number":["75N92020D00006"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["N01-HC-95163"],"award-info":[{"award-number":["N01-HC-95163"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["75N92020D00004"],"award-info":[{"award-number":["75N92020D00004"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["N01-HC-95164"],"award-info":[{"award-number":["N01-HC-95164"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["75N92020D00007"],"award-info":[{"award-number":["75N92020D00007"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["N01-HC-95165"],"award-info":[{"award-number":["N01-HC-95165"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["N01-HC-95166"],"award-info":[{"award-number":["N01-HC-95166"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["N01-HC-95167"],"award-info":[{"award-number":["N01-HC-95167"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["N01-HC-95168"],"award-info":[{"award-number":["N01-HC-95168"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["N01-HC-95169"],"award-info":[{"award-number":["N01-HC-95169"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["UL1TR000040"],"award-info":[{"award-number":["UL1TR000040"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["UL1TR001079"],"award-info":[{"award-number":["UL1TR001079"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["UL1TR001420"],"award-info":[{"award-number":["UL1TR001420"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":["JASN"],"published-print":{"date-parts":[[2022,3]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Individuals with CKD may be at high risk for atherosclerotic cardiovascular disease (ASCVD). However, there are no ASCVD risk prediction models developed in CKD populations to inform clinical care and prevention.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We developed and validated 10-year ASCVD risk prediction models in patients with CKD that included participants without self-reported cardiovascular disease from the Chronic Renal Insufficiency Cohort (CRIC) study. ASCVD was defined as the first occurrence of adjudicated fatal and nonfatal stroke or myocardial infarction. Our models used clinically available variables and novel biomarkers. Model performance was evaluated based on discrimination, calibration, and net reclassification improvement.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of 2604 participants (mean age 55.8 years; 52.0% male) included in the analyses, 252 had incident ASCVD within 10 years of baseline. Compared with the American College of Cardiology\/American Heart Association pooled cohort equations (area under the receiver operating characteristic curve [AUC]=0.730), a model with coefficients estimated within the CRIC sample had higher discrimination (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      =0.03), achieving an AUC of 0.736 (95% confidence interval [CI], 0.649 to 0.826). The CRIC model developed using clinically available variables had an AUC of 0.760 (95% CI, 0.678 to 0.851). The CRIC biomarker-enriched model had an AUC of 0.771 (95% CI, 0.674 to 0.853), which was significantly higher than the clinical model (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      =0.001). Both the clinical and biomarker-enriched models were well-calibrated and improved reclassification of nonevents compared with the pooled cohort equations (6.6%; 95% CI, 3.7% to 9.6% and 10.0%; 95% CI, 6.8% to 13.3%, respectively).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The 10-year ASCVD risk prediction models developed in patients with CKD, including novel kidney and cardiac biomarkers, performed better than equations developed for the general population using only traditional risk factors.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1681\/asn.2021060747","type":"journal-article","created":{"date-parts":[[2022,2,10]],"date-time":"2022-02-10T12:10:11Z","timestamp":1644495011000},"page":"601-611","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":33,"title":["Risk Prediction Models for Atherosclerotic Cardiovascular Disease in Patients with Chronic Kidney Disease: The CRIC Study"],"prefix":"10.1681","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6054-2624","authenticated-orcid":false,"given":"Joshua D.","family":"Bundy","sequence":"first","affiliation":[{"name":"Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana"},{"name":"Tulane University Translational Science Institute, New Orleans, Louisiana"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mahboob","family":"Rahman","sequence":"additional","affiliation":[{"name":"Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kunihiro","family":"Matsushita","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Division of Cardiology, Johns Hopkins School of Medicine, Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Byron C.","family":"Jaeger","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4649-079X","authenticated-orcid":false,"given":"Jordana B.","family":"Cohen","sequence":"additional","affiliation":[{"name":"Renal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana"},{"name":"Tulane University Translational Science Institute, New Orleans, Louisiana"},{"name":"Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rajat","family":"Deo","sequence":"additional","affiliation":[{"name":"Cardiovascular Division, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mirela A.","family":"Dobre","sequence":"additional","affiliation":[{"name":"Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4572-2608","authenticated-orcid":false,"given":"Harold I.","family":"Feldman","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Flack","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Southern Illinois University School of Medicine, Springfield, Illinois"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Radhakrishna R.","family":"Kallem","sequence":"additional","affiliation":[{"name":"Renal, Electrolyte, and Hypertension Division, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6580-4080","authenticated-orcid":false,"given":"James P.","family":"Lash","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Illinois College of Medicine at Chicago, Chicago, Illinois"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1693-0734","authenticated-orcid":false,"given":"Stephen","family":"Seliger","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7222-4666","authenticated-orcid":false,"given":"Tariq","family":"Shafi","sequence":"additional","affiliation":[{"name":"Nephrology Division, The University of Mississippi Medical Center, Jackson, Mississippi"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5422-9260","authenticated-orcid":false,"given":"Shoshana J.","family":"Weiner","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Myles","family":"Wolf","sequence":"additional","affiliation":[{"name":"Department of Medicine, Duke Clinical Research Institute, Duke University, Durham, North Carolina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Norrina B.","family":"Allen","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine, Northwestern Feinberg School of Medicine, Chicago, Illinois"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nisha","family":"Bansal","sequence":"additional","affiliation":[{"name":"Division of Nephrology, University of Washington, Seattle, Washington"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiang","family":"He","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana"},{"name":"Tulane University Translational Science Institute, New Orleans, Louisiana"},{"name":"Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"the CRIC Study Investigators","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2022,3]]},"reference":[{"key":"B1-20250823","doi-asserted-by":"crossref","first-page":"950","DOI":"10.1038\/ki.2015.230","article-title":"A systematic analysis of worldwide population-based data on the global burden of chronic kidney disease in 2010","volume":"88","author":"Mills","year":"2015","journal-title":"Kidney Int"},{"key":"B2-20250823","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/S0140-6736(13)60595-4","article-title":"Chronic kidney disease and cardiovascular risk: Epidemiology, mechanisms, and prevention","volume":"382","author":"Gansevoort","year":"2013","journal-title":"Lancet"},{"key":"B3-20250823","doi-asserted-by":"crossref","first-page":"1296","DOI":"10.1056\/NEJMoa041031","article-title":"Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization","volume":"351","author":"Go","year":"2004","journal-title":"N Engl J Med"},{"key":"B4-20250823","first-page":"1","article-title":"Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group: KDIGO 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease","volume":"3","year":"2013","journal-title":"Kidney Int Suppl"},{"key":"B5-20250823","doi-asserted-by":"crossref","first-page":"2315","DOI":"10.1093\/eurheartj\/ehw106","article-title":"2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts)Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR)","volume":"37","author":"Piepoli","year":"2016","journal-title":"Eur Heart J"},{"issue":"Suppl 2","key":"B6-20250823","first-page":"S49","article-title":"2013 ACC\/AHA guideline on the assessment of cardiovascular risk: A report of the American College of Cardiology\/American Heart Association task force on practice guidelines","volume":"129","author":"Goff","year":"2014","journal-title":"Circulation"},{"key":"B7-20250823","first-page":"e596","article-title":"2019 ACC\/AHA guideline on the primary prevention of cardiovascular disease: A report of the American College of Cardiology\/American Heart Association task force on clinical practice guidelines","volume":"140","author":"Arnett","year":"2019","journal-title":"Circulation"},{"key":"B8-20250823","doi-asserted-by":"crossref","first-page":"100552","DOI":"10.1016\/j.eclinm.2020.100552","article-title":"Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets","volume":"27","author":"Matsushita","year":"2020","journal-title":"EClinicalMedicine"},{"key":"B9-20250823","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1016\/S2213-8587(15)00040-6","article-title":"Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data","volume":"3","author":"Matsushita","year":"2015","journal-title":"Lancet Diabetes Endocrinol"},{"key":"B10-20250823","doi-asserted-by":"crossref","first-page":"949","DOI":"10.1093\/aje\/kwr185","article-title":"The effect of including cystatin C or creatinine in a cardiovascular risk model for asymptomatic individuals: The multi-ethnic study of atherosclerosis","volume":"174","author":"Ito","year":"2011","journal-title":"Am J Epidemiol"},{"key":"B11-20250823","doi-asserted-by":"crossref","first-page":"310","DOI":"10.7326\/0003-4819-154-5-201103010-00005","article-title":"Estimated glomerular filtration rate and albuminuria as predictors of outcomes in patients with high cardiovascular risk: A cohort study","volume":"154","author":"Clase","year":"2011","journal-title":"Ann Intern Med"},{"key":"B12-20250823","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1016\/S2213-8587(17)30183-3","article-title":"Measures of chronic kidney disease and risk of incident peripheral artery disease: A collaborative meta-analysis of individual participant data","volume":"5","author":"Matsushita","year":"2017","journal-title":"Lancet Diabetes Endocrinol"},{"key":"B13-20250823","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.jacc.2007.03.037","article-title":"The Framingham predictive instrument in chronic kidney disease","volume":"50","author":"Weiner","year":"2007","journal-title":"J Am Coll Cardiol"},{"key":"B14-20250823","doi-asserted-by":"crossref","first-page":"1770","DOI":"10.1161\/ATVBAHA.114.303465","article-title":"Cardiac and kidney markers for cardiovascular prediction in individuals with chronic kidney disease: The Atherosclerosis Risk in Communities study","volume":"34","author":"Matsushita","year":"2014","journal-title":"Arterioscler Thromb Vasc Biol"},{"key":"B15-20250823","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1681\/ASN.2014020173","article-title":"Subclinical atherosclerosis measures for cardiovascular prediction in CKD","volume":"26","author":"Matsushita","year":"2015","journal-title":"J Am Soc Nephrol"},{"key":"B16-20250823","doi-asserted-by":"crossref","first-page":"2539","DOI":"10.1161\/CIRCULATIONAHA.113.007595","article-title":"Patient-accessible tool for shared decision making in cardiovascular primary prevention: Balancing longevity benefits against medication disutility","volume":"129","author":"Fontana","year":"2014","journal-title":"Circulation"},{"key":"B17-20250823","doi-asserted-by":"crossref","first-page":"1302","DOI":"10.2215\/CJN.00070109","article-title":"Chronic Renal Insufficiency Cohort (CRIC) study: baseline characteristics and associations with kidney function","volume":"4","author":"Lash","year":"2009","journal-title":"Clin J Am Soc Nephrol"},{"key":"B18-20250823","doi-asserted-by":"crossref","first-page":"1203","DOI":"10.2215\/CJN.12791019","article-title":"Kidney disease, race, and GFR estimation","volume":"15","author":"Levey","year":"2020","journal-title":"Clin J Am Soc Nephrol"},{"key":"B19-20250823","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1056\/NEJMoa1114248","article-title":"Estimating glomerular filtration rate from serum creatinine and cystatin C","volume":"367","author":"Inker","year":"2012","journal-title":"N Engl J Med"},{"issue":"Suppl 3","key":"B20-20250823","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1186\/s12911-016-0318-z","article-title":"Nearest neighbor imputation algorithms: A critical evaluation","volume":"16","author":"Beretta","year":"2016","journal-title":"BMC Med Inform Decis Mak"},{"issue":"Suppl 2","key":"B21-20250823","doi-asserted-by":"crossref","first-page":"S148","DOI":"10.1097\/01.ASN.0000070149.78399.CE","article-title":"The Chronic Renal Insufficiency Cohort (CRIC) study: Design and methods","volume":"14","author":"Feldman","year":"2003","journal-title":"J Am Soc Nephrol"},{"key":"B22-20250823","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1080\/01621459.1999.10474144","article-title":"A proportional hazards model for the subdistribution of a competing risk","volume":"94","author":"Fine","year":"1999","journal-title":"J Am Stat Assoc"},{"key":"B23-20250823","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1002\/(SICI)1097-0258(19970228)16:4<385::AID-SIM380>3.0.CO;2-3","article-title":"The lasso method for variable selection in the Cox model","volume":"16","author":"Tibshirani","year":"1997","journal-title":"Stat Med"},{"key":"B24-20250823","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.jclinepi.2015.04.005","article-title":"Prediction models need appropriate internal, internal-external, and external validation","volume":"69","author":"Steyerberg","year":"2016","journal-title":"J Clin Epidemiol"},{"key":"B25-20250823","doi-asserted-by":"crossref","first-page":"2939","DOI":"10.1016\/j.jacc.2021.04.035","article-title":"The ARIC (Atherosclerosis Risk In Communities) study: JACC Focus Seminar 3\/8","volume":"77","author":"Wright","year":"2021","journal-title":"J Am Coll Cardiol"},{"key":"B26-20250823","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1093\/aje\/kwf113","article-title":"Multi-Ethnic Study of Atherosclerosis: Objectives and design","volume":"156","author":"Bild","year":"2002","journal-title":"Am J Epidemiol"},{"key":"B27-20250823","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1097\/EDE.0b013e3181c30fb2","article-title":"Assessing the performance of prediction models: A framework for traditional and novel measures","volume":"21","author":"Steyerberg","year":"2010","journal-title":"Epidemiology"},{"key":"B28-20250823","doi-asserted-by":"crossref","first-page":"5381","DOI":"10.1002\/sim.5958","article-title":"Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks","volume":"32","author":"Blanche","year":"2013","journal-title":"Stat Med"},{"key":"B29-20250823","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1186\/s41512-018-0029-2","article-title":"The index of prediction accuracy: An intuitive measure useful for evaluating risk prediction models","volume":"2","author":"Kattan","year":"2018","journal-title":"Diagn Progn Res"},{"key":"B30-20250823","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1002\/sim.2929","article-title":"Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond","volume":"27","author":"Pencina","year":"2008","journal-title":"Stat Med"},{"key":"B31-20250823","doi-asserted-by":"crossref","first-page":"2430","DOI":"10.1002\/sim.5647","article-title":"A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data","volume":"32","author":"Uno","year":"2013","journal-title":"Stat Med"},{"key":"B32-20250823","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1161\/CIRCRESAHA.111.246876","article-title":"The intersection between aging and cardiovascular disease","volume":"110","author":"North","year":"2012","journal-title":"Circ Res"},{"key":"B33-20250823","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1016\/j.kint.2016.09.010","article-title":"Management of patients with diabetes and CKD: Conclusions from a \u201cKidney Disease: Improving Global Outcomes\u201d (KDIGO) Controversies Conference","volume":"90","author":"Perkovic","year":"2016","journal-title":"Kidney Int"},{"key":"B34-20250823","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1161\/01.CIR.90.1.195","article-title":"Localization and mechanism of secretion of B-type natriuretic peptide in comparison with those of A-type natriuretic peptide in normal subjects and patients with heart failure","volume":"90","author":"Yasue","year":"1994","journal-title":"Circulation"},{"key":"B35-20250823","doi-asserted-by":"crossref","first-page":"2503","DOI":"10.1001\/jama.2010.1768","article-title":"Association of troponin T detected with a highly sensitive assay and cardiac structure and mortality risk in the general population","volume":"304","author":"de Lemos","year":"2010","journal-title":"JAMA"},{"key":"B36-20250823","doi-asserted-by":"crossref","first-page":"946","DOI":"10.1681\/ASN.2014010108","article-title":"High-sensitivity troponin T and N-terminal pro-B-type natriuretic peptide (NT-proBNP) and risk of incident heart failure in patients with CKD: The Chronic Renal Insufficiency Cohort (CRIC) study","volume":"26","author":"Bansal","year":"2015","journal-title":"J Am Soc Nephrol"},{"key":"B37-20250823","doi-asserted-by":"crossref","first-page":"2272","DOI":"10.1093\/eurheartj\/ehs163","article-title":"High-sensitive troponin T and N-terminal pro-B type natriuretic peptide are associated with cardiovascular events despite the cross-sectional association with albuminuria and glomerular filtration rate","volume":"33","author":"Scheven","year":"2012","journal-title":"Eur Heart J"},{"key":"B38-20250823","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/S0140-6736(11)60178-5","article-title":"Chronic kidney disease","volume":"379","author":"Levey","year":"2012","journal-title":"Lancet"},{"key":"B39-20250823","doi-asserted-by":"crossref","first-page":"766","DOI":"10.2215\/CJN.04131206","article-title":"The unique character of cardiovascular disease in chronic kidney disease and its implications for treatment with lipid-lowering drugs","volume":"2","author":"Nogueira","year":"2007","journal-title":"Clin J Am Soc Nephrol"},{"key":"B40-20250823","doi-asserted-by":"crossref","first-page":"1876","DOI":"10.1253\/circj.CJ-19-0320","article-title":"Novel \u201cpredictor patch\u201d method for adding predictors using estimates from outside datasets - A proof-of-concept study adding kidney measures to cardiovascular mortality prediction","volume":"83","author":"Matsushita","year":"2019","journal-title":"Circ J"},{"key":"B41-20250823","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1001\/jamacardio.2017.0363","article-title":"Coronary artery calcification and risk of cardiovascular disease and death among patients with chronic kidney disease","volume":"2","author":"Chen","year":"2017","journal-title":"JAMA Cardiol"}],"container-title":["Journal of the American Society of Nephrology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ovid.com\/10.1681\/ASN.2021060747","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T19:48:43Z","timestamp":1786132123000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ovid.com\/10.1681\/ASN.2021060747"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3]]},"references-count":41,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022]]}},"URL":"https:\/\/doi.org\/10.1681\/asn.2021060747","relation":{},"ISSN":["1046-6673","1533-3450"],"issn-type":[{"value":"1046-6673","type":"print"},{"value":"1533-3450","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3]]},"assertion":[{"value":"2021-06-05","name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-12-20","name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}}]}}