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Combining Novel Biomarkers for Risk Stratification of Two-Year Cardiovascular Mortality in Patients with ST-Elevation Myocardial Infarction.
Zagidullin, Naufal; Motloch, Lukas J; Gareeva, Diana; Hamitova, Aysilu; Lakman, Irina; Krioni, Ilja; Popov, Denis; Zulkarneev, Rustem; Paar, Vera; Kopp, Kristen; Jirak, Peter; Ishmetov, Vladimir; Hoppe, Uta C; Tulbaev, Eduard; Pavlov, Valentin.
Affiliation
  • Zagidullin N; Department of Internal Diseases, Bashkir State Medical University, Lenin str., 3, 450008 Ufa, Russia.
  • Motloch LJ; Department of Surgery, Bashkir State Medical University, Lenin str., 3, 450008 Ufa, Russia.
  • Gareeva D; Department of Urology, Bashkir State Medical University, Lenin str., 3, 450008 Ufa, Russia.
  • Hamitova A; Department of Electronics and Biomedical Technology, Ufa State Aviation Technical University, Karl Marx str., 12, 450077 Ufa, Russia.
  • Lakman I; Department of Informatics and Robotics, Ufa State Aviation Technical University, Karl Marx str., 12, 450077 Ufa, Russia.
  • Krioni I; University Clinic for Internal Medicine II, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
  • Popov D; Department of Internal Diseases, Bashkir State Medical University, Lenin str., 3, 450008 Ufa, Russia.
  • Zulkarneev R; Department of Surgery, Bashkir State Medical University, Lenin str., 3, 450008 Ufa, Russia.
  • Paar V; Department of Urology, Bashkir State Medical University, Lenin str., 3, 450008 Ufa, Russia.
  • Kopp K; Department of Internal Diseases, Bashkir State Medical University, Lenin str., 3, 450008 Ufa, Russia.
  • Jirak P; Department of Surgery, Bashkir State Medical University, Lenin str., 3, 450008 Ufa, Russia.
  • Ishmetov V; Department of Urology, Bashkir State Medical University, Lenin str., 3, 450008 Ufa, Russia.
  • Hoppe UC; Department of Electronics and Biomedical Technology, Ufa State Aviation Technical University, Karl Marx str., 12, 450077 Ufa, Russia.
  • Tulbaev E; Department of Informatics and Robotics, Ufa State Aviation Technical University, Karl Marx str., 12, 450077 Ufa, Russia.
  • Pavlov V; Institute of Economics, Finance and Business, Bashkir State University, Validy Str. 32, 450076 Ufa, Russia.
J Clin Med ; 9(2)2020 Feb 18.
Article de En | MEDLINE | ID: mdl-32085400
ABSTRACT
ST-elevation myocardial infarction (STEMI) is one of the main reasons for morbidity and mortality worldwide. In addition to the classic biomarker NT-proBNP, new biomarkers like ST2 and Pentraxin-3 (Ptx-3) have emerged as potential tools in stratifying risk in cardiac patients. Indeed, multimarker approaches to estimate prognosis of STEMI patients have been proposed and their potential clinical impact requires investigation. In our study, in 147 patients with STEMI, NT-proBNP as well as serum levels of ST2 and Ptx-3 were evaluated. During two-year follow-up (FU; 734.2 ± 61.2 d) results were correlated with risk for cardiovascular mortality (CV-mortality). NT-proBNP (HR = 1.64, 95% CI = 1.21-2.21, p = 0.001) but also ST2 (HR = 1.000022, 95% CI = 1.00-1.001, p < 0.001) were shown to be reliable predictors of CV-mortality, while the highest predictive power was observed with Ptx-3 (HR = 3.1, 95% CI = 1.63-5.39, p < 0.001). When two biomarkers were combined in a multivariate Cox regression model, relevant improvement of risk assessment was only observed with NT-proBNP+Ptx-3 (AIC = 209, BIC = 214, p = 0.001, MER = 0.75, MEV = 0.64). However, the highest accuracy was seen using a three-marker approach (NT-proBNP + ST2 + Ptx-3 AIC = 208, BIC = 214, p < 0.001, MER = 0.77, MEV = 0.66). In conclusion, after STEMI, ST2 and Ptx-3 in addition to NT-proBNP were associated with the incidence of CV-mortality, with multimarker approaches enhancing the accuracy of prediction of CV-mortality.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies Langue: En Journal: J Clin Med Année: 2020 Type de document: Article Pays d'affiliation: Russie

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Etiology_studies / Prognostic_studies / Risk_factors_studies Langue: En Journal: J Clin Med Année: 2020 Type de document: Article Pays d'affiliation: Russie
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