<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Pandey A</submitter><funding>NCATS NIH HHS</funding><funding>NIA NIH HHS</funding><funding>NHLBI NIH HHS</funding><pagination>215-223</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11229674</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>9(3)</volume><pubmed_abstract>&lt;h4>Objectives&lt;/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.&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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</pubmed_abstract><journal>JACC. Heart failure</journal><pubmed_title>Biomarker-Based Risk Prediction of Incident Heart Failure in Pre-Diabetes and Diabetes.</pubmed_title><pmcid>PMC11229674</pmcid><funding_grant_id>HHSN268201100011I</funding_grant_id><funding_grant_id>R03 AG067960</funding_grant_id><funding_grant_id>UL1 TR001105</funding_grant_id><funding_grant_id>N01HC95159</funding_grant_id><funding_grant_id>HHSN268201100009I</funding_grant_id><funding_grant_id>HHSN268201100005C</funding_grant_id><funding_grant_id>HHSN268201100007C</funding_grant_id><funding_grant_id>HHSN268201100009C</funding_grant_id><funding_grant_id>HHSN268201100011C</funding_grant_id><funding_grant_id>R01 HL071739</funding_grant_id><funding_grant_id>HHSN268201100005I</funding_grant_id><funding_grant_id>HHSN268201100005G</funding_grant_id><funding_grant_id>HHSN268201100007I</funding_grant_id><funding_grant_id>N01HC95160</funding_grant_id><funding_grant_id>N01HC95161</funding_grant_id><funding_grant_id>UL1 TR002541</funding_grant_id><funding_grant_id>N01HC95162</funding_grant_id><funding_grant_id>N01HC95163</funding_grant_id><funding_grant_id>N01HC95164</funding_grant_id><funding_grant_id>N01HC95165</funding_grant_id><funding_grant_id>N01HC95169</funding_grant_id><funding_grant_id>HHSN268201100006C</funding_grant_id><funding_grant_id>HHSN268201100008C</funding_grant_id><funding_grant_id>T32 HL125247</funding_grant_id><funding_grant_id>HHSN268201100010C</funding_grant_id><funding_grant_id>HHSN268201100008I</funding_grant_id><funding_grant_id>HHSN268201100012C</funding_grant_id><pubmed_authors>Everett BM</pubmed_authors><pubmed_authors>Khan SS</pubmed_authors><pubmed_authors>de Lemos JA</pubmed_authors><pubmed_authors>Ayers C</pubmed_authors><pubmed_authors>Ballantyne CM</pubmed_authors><pubmed_authors>Patel KV</pubmed_authors><pubmed_authors>McGuire DK</pubmed_authors><pubmed_authors>Vaduganathan M</pubmed_authors><pubmed_authors>Carnethon M</pubmed_authors><pubmed_authors>Caughey MC</pubmed_authors><pubmed_authors>Pandey A</pubmed_authors><pubmed_authors>Kosiborod MN</pubmed_authors><pubmed_authors>DeFilippi C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Biomarker-Based Risk Prediction of Incident Heart Failure in Pre-Diabetes and Diabetes.</name><description>&lt;h4>Objectives&lt;/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.&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Mar</publication><modification>2025-04-04T11:24:31.876Z</modification><creation>2025-04-04T11:24:31.876Z</creation></dates><accession>S-EPMC11229674</accession><cross_references><pubmed>33422434</pubmed><doi>10.1016/j.jchf.2020.10.013</doi></cross_references></HashMap>