The utility of biomarker risk prediction score in patients with chronic heart failure
Status PubMed-not-MEDLINE Jazyk angličtina Země Spojené státy americké Médium electronic-ecollection
Typ dokumentu časopisecké články
PubMed
26770427
PubMed Central
PMC4694327
Knihovny.cz E-zdroje
- Klíčová slova
- Chronic heart failure, biomarkers, cardiovascular outcomes, predictive value,
- Publikační typ
- časopisecké články MeSH
UNLABELLED: Chronic heart failure (CHF) remains a leading cause of cardiovascular death worldwide. Current risk models allow better prognosis, however further tools for assessing risk are needed. Thus, this study was aimed to evaluate whether biomarker risk prediction score is powerful tool for risk assessment of three-year fatal and non-fatal cardiovascular events in CHF patients. METHODS: A prospective study on the incidence of fatal and non-fatal cardiovascular events, as well as the frequency of occurrence of death from any cause in a cohort of 388 patients with CHF during 3 years of observation was performed. Circulating levels of NT-pro brain natriuretic peptide (NT-pro-BNP), galectin-3, high-sensitivity C-reactive protein (hs-CRP), osteoprotegerin and its soluble receptor sRANKL, osteopontin, osteonectin, adiponectin, endothelial apoptotic microparticles (EMPs) and mononuclear progenitor cells (MPCs) were measured at baseline. RESULTS: Median follow-up of patients included in the study was 2.76 years. There were 285 cardiovascular events determined, including 43 deaths and 242 readmissions. Independent predictors of clinical outcomes in patients with CHF were NT-pro-BNP, galectin-3, hs-CRP, osteoprotegerin, CD31(+)/annexin V(+) EMPs and EMPs/CD14(+)CD309(+) MPCs ratio. Index of cardiovascular risk was calculated by mathematical summation of all ranks of independent predictors, which occurred in the patients included in the study. The findings showed that the average value of the index of cardiovascular risk in patients with CHF was 3.17 points (95% CI = 1.65-5.10 points). Kaplan-Meier analysis showed that patients with CHF and the magnitude of the risk of less than 4 units have an advantage in survival when compared with patients for whom obtained higher values of ranks cardiovascular risk score. CONCLUSION: Biomarker risk score for cumulative cardiovascular events, constructed by measurement of circulating NT-pro-BNP, galectin-3, hs-CRP, osteoprotegerin, CD31(+)/annexin V(+) EMPs and EMPs/CD14(+)CD309(+) MPCs ratio, reliably predicts the probability survival of patients with CHF, regardless of age, gender, state of the contractile function of the left ventricle and the number of comorbidities.
Department of Clinical Pharmacology State Medical University Zaporozhye Ukraine
Department of Internal Medicine State Medical University Zaporozhye Ukraine
Department of Pathology State Medical University Zaporozhye Ukraine
Zobrazit více v PubMed
Lloyd-Jones D, Adams RJ, Brown TM, Carnethon M, Dai S, De Simone G, Ferguson TB, Ford E, Furie K, Gillespie C, Go A, Greenlund K, Haase N, Hailpern S, Ho PM, Howard V, Kissela B, Kittner S, Lackland D, Lisabeth L, Marelli A, McDermott MM, Meigs J, Mozaffarian D, Mussolino M, Nichol G, Roger VL, Rosamond W, Sacco R, Sorlie P, Roger VL, Thom T, Wasserthiel-Smoller S, Wong ND, Wylie-Rosett J American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics-2010 update: a report from the American Heart Association. Circulation. 2010;121:e46–e215. PubMed
Ketchum ES, Levy WC. Multivariate risk scores and patient outcomes in advanced heart failure. Congest Heart Fail. 2011;17:205–212. PubMed
Sartipy U, Goda A, Mancini DM, Lund LH. Assessment of a University of California, Los Angeles 4-variable risk score for advanced heart failure. J Am Heart Assoc. 2014;3:e000998. PubMed PMC
Maisel A. Biomonitoring and biomarker-guided therapy: the next step in heart failure and biomarker research. J Am Coll Cardiol. 2011;58:1890–892. PubMed
Chyu J, Fonarow GC, Tseng CH, Horwich TB. Four-variable risk model in men and women with heart failure. Circ Heart Fail. 2014;7:88–95. PubMed
Alba AC, Agoritsas T, Jankowski M, Courvoisier D, Walter SD, Guyatt GH, Ross HJ. Risk prediction models for mortality in ambulatory patients with heart failure: a systematic review. Circ Heart Fail. 2013;6:881–889. PubMed
Carluccio E, Dini FL, Biagioli P, Lauciello R, Simioniuc A, Zuchi C, Alunni G, Reboldi G, Marzilli M, Ambrosio G. The ‘Echo Heart Failure Score’: an echocardiographic risk prediction score of mortality in systolic heart failure. Eur J Heart Fail. 2013;15:868–876. PubMed
Oremus M, Don-Wauchope A, McKelvie R, Santaguida PL, Hill S, Balion C, Booth R, Brown JA, Ali U, Bustamam A, Sohel N, Raina P. BNP and NT-proBNP as prognostic markers in persons with chronic stable heart failure. Heart Fail Rev. 2014;19:471–505. PubMed
Carrasco-Sánchez FJ, Páez-Rubio MI. Review of the Prognostic Value of Galectin-3 in Heart Failure Focusing on Clinical Utility of Repeated Testing. Mol Diagn Ther. 2014;18:599–604. PubMed
Rajendiran KS, Ananthanarayanan RH, Satheesh S, Rajappa M. Elevated levels of serum sialic acid and high-sensitivity C-reactive protein: markers of systemic inflammation in patients with chronic heart failure. Br J Biomed Sci. 2014;71:29–32. PubMed
Ferrari M, Kruzliak P, Spiliopoulos K. An insight into short- and long-term mechanical circulatory support systems. Clin Res Cardiol. 2015;104:95–111. PubMed
Roziakova L, Mistrik M, Batorova A, Kruzliak P, Bojtarova E, Dubrava J, Gergel J, Mladosievicova B. Can We Predict Clinical Cardiotoxicity with Cardiac Biomarkers in Patients After Haematopoietic Stem Cell Transplantation? Cardiovasc Toxicol. 2015;15:210–6. PubMed
Rajendiran KS, Ananthanarayanan RH, Satheesh S, Rajappa M. Elevated levels of serum sialic acid and high-sensitivity C-reactive protein: markers of systemic inflammation in patients with chronic heart failure. Br J Biomed Sci. 2014;71:29–32. PubMed
DeBeradinis B, Januzzi JL Jr. Use of biomarkers to guide outpatient therapy of heart failure. Curr Opin Cardiol. 2012;27:661–668. PubMed
Berezin AE, Kremzer AA. Circulating endothelial progenitor cells as markers for severity of ischemic chronic heart failure. J Card Fail. 2014;20:438–447. PubMed
Berezin AE, Kremzer AA, Samura TA, Martovitskaya YV. Circulating Endothelial-Derived Apoptotic Microparticles in the Patients with Ischemic Symptomatic Chronic Heart Failure: Relevance of Pro-Inflammatory Activation and Outcomes. Int Cardiovasc Res J. 2014;8:116–123. PubMed PMC
Wagner R, Piler P, Gabbasov Z, Maruyama J, Maruyama K, Nicovsky J, Kruzliak P. Adjuvant cardioprotection in cardiac surgery: update. Biomed Res Int. 2014;2014:808096. PubMed PMC
Laszczyńska O, Severo M, Friões F, Lourenço P, Silva S, Bettencourt P, Lunet N, Azevedo A. Validity of the Seattle Heart Failure Model for prognosis in a population at low coronary heart disease risk. J Cardiovasc Med (Hagerstown) 2014 [Epub ahead of print] PubMed
Bluemke DA, Achenbach S, Budoff M, Gerber TC, Gersh B, Hillis LD, Hundley WG, Manning WJ, Printz BF, Stuber M, Woodard PK. Noninvasive coronary artery imaging: magnetic resonance angiography and multidetector computed tomography angiography: a scientific statement from the American Heart Association Committee on Cardiovascular Imaging and Intervention of the Council on Cardiovascular Radiology and Intervention, and the Councils on Clinical Cardiology and Cardiovascular Disease in the Young. Circulation. 2008;118:586–606. PubMed
Schiller NB, Shah PM, Crawford M, DeMaria A, Devereux R, Feigenbaum H, Gutgesell H, Reichek N, Sahn D, Schnittger I. Recommendations for quantitation of the left ventricle by two-dimensional echocardiography. American Society of Echocardiography Committee on Standards, Subcommittee on Quantitation of Two-Dimensional Echocardiograms. J Am Soc Echocardiogr. 1989;2:358–367. PubMed
Pellerin D, Sharma R, Elliott P, Veyrat C. Tissue Doppler, strain, and strain rate echocardiography for the assessment of left and right systolic ventricular function. Heart. 2003;89(Suppl 3):9–17. PubMed PMC
Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) A New Equation to Estimate Glomerular Filtration Rate. Ann Intern Med. 2009;150:604–612. PubMed PMC
Tung JW, Parks DR, Moore WA, Herzenberg LA, Herzenberg LA. New approaches to fluorescence compensation and visualization of FACS data. Clin Immunol. 2004;110:277–283. PubMed
Lacroix R, Judicone C, Mooberry M, Boucekine M, Key NS, Dignat-George F The ISTH SSC Workshop. Standardization of pre-analytical variables in plasma microparticle determination: results of the International Society on Thrombosis and Haemostasis SSC Collaborative workshop. J Thromb Haemost. 2013 [Epub ahead of print] PubMed PMC
Orozco AF, Lewis DE. Flow cytometric analysis of circulating microparticles in plasma. Cytometry A. 2010;77:502–514. PubMed PMC
DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837–845. PubMed
Giallauria F, Fattirolli F, Tramarin R, Ambrosetti M, Griffo R, Riccio C, Vigorito C ISYDE-2008 Investigators of the Italian Association for Cardiovascular Prevention and Rehabilitation (GICR-IACPR) Cardiac rehabilitation in chronic heart failure: data from the Italian SurveY on carDiac rEhabilitation (ISYDE-2008) J Cardiovasc Med (Hagerstown) 2014;15:155–163. PubMed
Li Y, Neilson MP, Whellan DJ, Schulman KA, Levy WC, Reed SD. Associations between Seattle Heart Failure Model scores and health utilities: findings from HF-ACTION. J Card Fail. 2013;19:311–316. PubMed PMC
Scrutinio D, Ammirati E, Guida P, Passantino A, Raimondo R, Guida V, Sarzi Braga S, Canova P, Mastropasqua F, Frigerio M, Lagioia R, Oliva F. The ADHF/NT-proBNP risk score to predict 1-year mortality in hospitalized patients with advanced decompensated heart failure. J Heart Lung Transplant. 2014;33:404–411. PubMed
Vakil KP, Dardas T, Dhar S, Moorman A, Anand I, Maggioni A, Linker DT, Mozaffarian D, Levy WC. Impact of renal dysfunction on the Seattle Heart Failure Model. J Heart Lung Transplant. 2014;33:163–169. PubMed
McMurray JJ, Adamopoulos S, Anker SD, Auricchio A, Böhm M, Dickstein K, Falk V, Filippatos G, Fonseca C, Gomez-Sanchez MA, Jaarsma T, Køber L, Lip GY, Maggioni AP, Parkhomenko A, Pieske BM, Popescu BA, Rønnevik PK, Rutten FH, Schwitter J, Seferovic P, Stepinska J, Trindade PT, Voors AA, Zannad F, Zeiher A Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2012 of the European Society of Cardiology; Bax JJ, Baumgartner H, Ceconi C, Dean V, Deaton C, Fagard R, Funck-Brentano C, Hasdai D, Hoes A, Kirchhof P, Knuuti J, Kolh P, McDonagh T, Moulin C, Popescu BA, Reiner Z, Sechtem U, Sirnes PA, Tendera M, Torbicki A, Vahanian A, Windecker S, McDonagh T, Sechtem U, Bonet LA, Avraamides P, Ben Lamin HA, Brignole M, Coca A, Cowburn P, Dargie H, Elliott P, Flachskampf FA, Guida GF, Hardman S, Iung B, Merkely B, Mueller C, Nanas JN, Nielsen OW, Orn S, Parissis JT, Ponikowski P ESCCommittee for Practice Guidelines. ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2012. Eur Heart J. 2012;33:1787–1847. PubMed
Ciccone MM, Cortese F, Gesualdo M, Riccardi R, Di Nunzio D, Moncelli M, Iacoviello M, Scicchitano P. A novel cardiac bio-marker: ST2: a review. Molecules. 2013;18:15314–15328. PubMed PMC
Bhardwaj A, Januzzi JL Jr. ST2: a novel biomarker for heart failure. Expert Rev Mol Diagn. 2010;10:459–464. PubMed
Januzzi JL Jr, Peacock WF, Maisel AS, Chae CU, Jesse RL, Baggish AL, O’Donoghue M, Sakhuja R, Chen AA, van Kimmenade RR, Lewandrowski KB, Lloyd-Jones DM, Wu AH. Measurement of the interleukin family member ST2 in patients with acute dyspnea: results from the PRIDE (Pro-Brain Natriuretic Peptide Investigation of Dyspnea in the Emergency Department) study. J Am Coll Cardiol. 2007;50:607–613. PubMed