{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Pandey A"],"funding":["NCATS NIH HHS","NIA NIH HHS","NHLBI NIH HHS"],"pagination":["215-223"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11229674"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9(3)"],"pubmed_abstract":["<h4>Objectives</h4>This study evaluated the application of a biomarker-based risk score to identify individuals with dysglycemia who are at high risk for incident heart failure (HF) and to inform allocation of effective preventive interventions.<h4>Background</h4>Risk stratification tools to identify patients with diabetes and pre-diabetes at highest risk for HF are needed to inform cost-effective allocation of preventive therapies. Whether a biomarker score can meaningfully stratify HF risk is unknown.<h4>Methods</h4>Participants free of cardiovascular disease from 3 cohort studies (ARIC [Atherosclerosis Risk In Communities], DHS [Dallas Heart Study], and MESA [Multi-Ethnic Study of Atherosclerosis]) were included. An integer-based biomarker score included high-sensitivity cardiac troponi"],"journal":["JACC. Heart failure"],"pubmed_title":["Biomarker-Based Risk Prediction of Incident Heart Failure in Pre-Diabetes and Diabetes."],"pmcid":["PMC11229674"],"funding_grant_id":["HHSN268201100011I","R03 AG067960","UL1 TR001105","N01HC95159","HHSN268201100009I","HHSN268201100005C","HHSN268201100007C","HHSN268201100009C","HHSN268201100011C","R01 HL071739","HHSN268201100005I","HHSN268201100005G","HHSN268201100007I","N01HC95160","N01HC95161","UL1 TR002541","N01HC95162","N01HC95163","N01HC95164","N01HC95165","N01HC95169","HHSN268201100006C","HHSN268201100008C","T32 HL125247","HHSN268201100010C","HHSN268201100008I","HHSN268201100012C"],"pubmed_authors":["Everett BM","Khan SS","de Lemos JA","Ayers C","Ballantyne CM","Patel KV","McGuire DK","Vaduganathan M","Carnethon M","Caughey MC","Pandey A","Kosiborod MN","DeFilippi C"],"additional_accession":[]},"is_claimable":false,"name":"Biomarker-Based Risk Prediction of Incident Heart Failure in Pre-Diabetes and Diabetes.","description":"<h4>Objectives</h4>This study evaluated the application of a biomarker-based risk score to identify individuals with dysglycemia who are at high risk for incident heart failure (HF) and to inform allocation of effective preventive interventions.<h4>Background</h4>Risk stratification tools to identify patients with diabetes and pre-diabetes at highest risk for HF are needed to inform cost-effective allocation of preventive therapies. Whether a biomarker score can meaningfully stratify HF risk is unknown.<h4>Methods</h4>Participants free of cardiovascular disease from 3 cohort studies (ARIC [Atherosclerosis Risk In Communities], DHS [Dallas Heart Study], and MESA [Multi-Ethnic Study of Atherosclerosis]) were included. An integer-based biomarker score included high-sensitivity cardiac troponi","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Mar","modification":"2025-04-04T11:24:31.876Z","creation":"2025-04-04T11:24:31.876Z"},"accession":"S-EPMC11229674","cross_references":{"pubmed":["33422434"],"doi":["10.1016/j.jchf.2020.10.013"]}}