Literature DB >> 18304872

Prognostic impact of NT-proBNP and renal function in comparison to contemporary multi-marker risk scores in heart failure patients.

Roman Pfister1, Holger Diedrichs, Anne Schiedermair, Stephan Rosenkranz, Martin Hellmich, Erland Erdmann, Christian Alfons Schneider.   

Abstract

BACKGROUND: Multi-marker risk scores accurately predict prognosis in heart failure patients but calculation is complex. AIMS: To compare the prognostic accuracy of the Seattle Heart Failure Survival Score (SHFS) and a model derived from the CHARM programme, with laboratory parameters NT-proBNP and glomerular filtration rate (GFR). METHODS AND
RESULTS: In a sample of 290 heart failure patients, 39 patients died, 22 were hospitalised with acute heart failure and 4 underwent urgent cardiac transplantation during a median follow-up of 498 days. NT-proBNP, GFR, CHARM and SHFS showed an AUC for an endpoint during 1-year of 0.80, 0.72, 0.79 and 0.69, respectively. The hazard ratio for an endpoint during follow-up was 2.1, 2.6, 1.9 and 2.1 per 1 SD increase of log NT-proBNP and CHARM and per 1 SD decrease of GFR and SHFS, respectively. In multivariate analysis, log NT-proBNP and GFR added independent prognostic information to CHARM and SHFS, respectively.
CONCLUSION: NT-proBNP and GFR independently predicted endpoint-free survival in systolic heart failure patients, with NT-proBNP being superior and equally predictive to the SHFS and CHARM score, respectively. Assessment of both laboratory markers can simplify prognostic stratification, addition to multi-marker scores should be evaluated.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18304872     DOI: 10.1016/j.ejheart.2008.01.009

Source DB:  PubMed          Journal:  Eur J Heart Fail        ISSN: 1388-9842            Impact factor:   15.534


  18 in total

Review 1.  Prediction of mortality in patients with heart failure and systolic dysfunction.

Authors:  Wayne C Levy; David T Linker
Journal:  Curr Cardiol Rep       Date:  2008-05       Impact factor: 2.931

2.  Is there any relationship between RDW levels and atrial fibrillation in hypertensive patient?

Authors:  Savas Sarikaya; Şafak Şahin; Lütfi Akyol; Elif Börekçi; Yunus Keser Yilmaz; Fatih Altunkaş; Kayihan Karaman
Journal:  Afr Health Sci       Date:  2014-03       Impact factor: 0.927

3.  Factors related to morbidity and mortality in patients with chronic heart failure with systolic dysfunction: the HF-ACTION predictive risk score model.

Authors:  Christopher M O'Connor; David J Whellan; Daniel Wojdyla; Eric Leifer; Robert M Clare; Stephen J Ellis; Lawrence J Fine; Jerome L Fleg; Faiez Zannad; Steven J Keteyian; Dalane W Kitzman; William E Kraus; David Rendall; Ileana L Piña; Lawton S Cooper; Mona Fiuzat; Kerry L Lee
Journal:  Circ Heart Fail       Date:  2011-11-23       Impact factor: 8.790

Review 4.  BNP and NT-proBNP as prognostic markers in persons with chronic stable heart failure.

Authors:  Mark Oremus; Andrew Don-Wauchope; Robert McKelvie; Pasqualina L Santaguida; Stephen Hill; Cynthia Balion; Ronald Booth; Judy A Brown; Usman Ali; Amy Bustamam; Nazmul Sohel; Parminder Raina
Journal:  Heart Fail Rev       Date:  2014-08       Impact factor: 4.214

Review 5.  Baroreflex Activation Therapy in Congestive Heart Failure: Novel Findings and Future Insights.

Authors:  Guido Grassi; GianMaria Brambilla; Daniela Prata Pizzalla; Gino Seravalle
Journal:  Curr Hypertens Rep       Date:  2016-08       Impact factor: 5.369

6.  Predictors of fatal and non-fatal outcomes in the Controlled Rosuvastatin Multinational Trial in Heart Failure (CORONA): incremental value of apolipoprotein A-1, high-sensitivity C-reactive peptide and N-terminal pro B-type natriuretic peptide.

Authors:  Hans Wedel; John J V McMurray; Magnus Lindberg; John Wikstrand; John G F Cleland; Jan H Cornel; Peter Dunselman; Ake Hjalmarson; John Kjekshus; Michel Komajda; Timo Kuusi; Johan Vanhaecke; Finn Waagstein
Journal:  Eur J Heart Fail       Date:  2009-01-24       Impact factor: 15.534

7.  Relationship between N-terminal pro-B-type natriuretic peptide and renal function: the effects on predicting early outcome after off-pump coronary artery bypass surgery.

Authors:  Youn Yi Jo; Young Lan Kwak; Jonghoon Lee; Yong Seon Choi
Journal:  Korean J Anesthesiol       Date:  2011-07-21

8.  Combined biomarker analysis for risk of acute kidney injury in patients with ST-segment elevation myocardial infarction.

Authors:  Ying-Chang Tung; Chih-Hsiang Chang; Yung-Chang Chen; Pao-Hsien Chu
Journal:  PLoS One       Date:  2015-04-08       Impact factor: 3.240

9.  The ability of NT-proBNP to detect chronic heart failure and predict all-cause mortality is higher in elderly Chinese coronary artery disease patients with chronic kidney disease.

Authors:  Shihui Fu; Leiming Luo; Ping Ye; Shuangyan Yi; Yuan Liu; Bing Zhu; Liang Wang; Tiehui Xiao; Yongyi Bai
Journal:  Clin Interv Aging       Date:  2013-04-15       Impact factor: 4.458

Review 10.  Do optimal prognostic thresholds in continuous physiological variables really exist? Analysis of origin of apparent thresholds, with systematic review for peak oxygen consumption, ejection fraction and BNP.

Authors:  Alberto Giannoni; Resham Baruah; Tora Leong; Michaela B Rehman; Luigi Emilio Pastormerlo; Frank E Harrell; Andrew J S Coats; Darrel P Francis
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.