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Troponin I and cardiovascular risk prediction in the general population: the BiomarCaRE consortium.
Blankenberg S, Salomaa V, Makarova N, Ojeda F, Wild P, Lackner KJ, Jørgensen T, Thorand B, Peters A, Nauck M, Petersmann A, Vartiainen E, Veronesi G, Brambilla P, Costanzo S, Iacoviello L, Linden G, Yarnell J, Patterson CC, Everett BM, Ridker PM, Kontto J, Schnabel RB, Koenig W, Kee F, Zeller T, Kuulasmaa K; BiomarCaRE Investigators. Blankenberg S, et al. Eur Heart J. 2016 Aug 7;37(30):2428-37. doi: 10.1093/eurheartj/ehw172. Epub 2016 May 12. Eur Heart J. 2016. PMID: 27174290 Free PMC article.
We investigated the value of adding troponin I levels to conventional risk factors for prediction of cardiovascular disease by calculating measures of discrimination (C-index) and net reclassification improvement (NRI). ...CONCLUSION: In …
We investigated the value of adding troponin I levels to conventional risk factors for prediction of cardiova …
High-Sensitivity Cardiac Troponin I Levels and Prediction of Heart Failure: Results From the BiomarCaRE Consortium.
Yan I, Börschel CS, Neumann JT, Sprünker NA, Makarova N, Kontto J, Kuulasmaa K, Salomaa V, Magnussen C, Iacoviello L, Di Castelnuovo A, Costanzo S, Linneberg A, Söderberg S, Zeller T, Ojeda-Echevarria FM, Blankenberg S, Westermann D. Yan I, et al. JACC Heart Fail. 2020 May;8(5):401-411. doi: 10.1016/j.jchf.2019.12.008. Epub 2020 Mar 11. JACC Heart Fail. 2020. PMID: 32171759 Free article.
OBJECTIVES: The aims of this study were to characterize the association of high-sensitivity cardiac troponin I (hs-cTnI) with heart failure (HF), to determine its predictive value beyond classical cardiovascular risk factors (CVRFs) and N …
OBJECTIVES: The aims of this study were to characterize the association of high-sensitivity cardiac troponin I (hs-cTnI) with hear …
Diabetes status-related differences in risk factors and mediators of heart failure in the general population: results from the MORGAM/BiomarCaRE consortium.
Vuori MA, Reinikainen J, Söderberg S, Bergdahl E, Jousilahti P, Tunstall-Pedoe H, Zeller T, Westermann D, Sans S, Linneberg A, Iacoviello L, Costanzo S, Salomaa V, Blankenberg S, Kuulasmaa K, Niiranen TJ. Vuori MA, et al. Cardiovasc Diabetol. 2021 Sep 28;20(1):195. doi: 10.1186/s12933-021-01378-4. Cardiovasc Diabetol. 2021. PMID: 34583686 Free PMC article.
METHODS: In a population-based sample of 3834 diabetic and 90,177 non-diabetic individuals, proportional hazards models and mediation analysis were used to assess the relation of conventional heart failure risk factors and biomarkers with incident h …
METHODS: In a population-based sample of 3834 diabetic and 90,177 non-diabetic individuals, proportional hazards models and mediation …
Biomarker-based prediction of fatal and non-fatal cardiovascular outcomes in individuals with diabetes mellitus.
Haller PM, Goßling A, Magnussen C, Brenner H, Schöttker B, Iacoviello L, Costanzo S, Kee F, Koenig W, Linneberg A, Sujana C, Thorand B, Salomaa V, Niiranen TJ, Söderberg S, Völzke H, Dörr M, Sans S, Padró T, Felix SB, Nauck M, Petersmann A, Palmieri L, Donfrancesco C, De Ponti R, Veronesi G, Ferrario MM, Kuulasmaa K, Zeller T, Ojeda FM, Blankenberg S, Westermann D; BiomarCaRE Consortium. Haller PM, et al. Eur J Prev Cardiol. 2023 Sep 6;30(12):1218-1226. doi: 10.1093/eurjpc/zwad122. Eur J Prev Cardiol. 2023. PMID: 37079290
AIMS: The role of biomarkers in predicting cardiovascular outcomes in high-risk individuals is not well established. ...CONCLUSION: Biomarkers improve cardiovascular risk prediction in individuals with and without diabetes and facilitate …
AIMS: The role of biomarkers in predicting cardiovascular outcomes in high-risk individuals is not well established. .. …