Literature DB >> 17967819

Renal dysfunction, as measured by the modification of diet in renal disease equations, and outcome in patients with advanced heart failure.

Roy S Gardner1, Kwok S Chong, Eileen O'Meara, Alan Jardine, Ian Ford, Theresa A McDonagh.   

Abstract

AIMS: This study evaluates the prognostic utility of renal dysfunction estimated by the recently validated modification of diet in renal disease (MDRD) equations and compares it with the currently most promising predictor of prognosis in patients with advanced heart failure. METHODS AND
RESULTS: We prospectively studied 182 consecutive patients with advanced chronic heart failure (CHF) referred for consideration of cardiac transplantation, with a median follow-up of 642 days. Glomerular filtration rate (GFR) was estimated using the MDRD equations and plasma taken for NT-proBNP analysis. The primary endpoint of all-cause mortality was reached in 40 patients (13.2% crude 1-year mortality), and the combined secondary endpoint of all-cause mortality or urgent CTx was reached in 44 patients. The mean GFR estimated by MDRD-1 was 58 mL/min/1.73 m(2). The median NT-proBNP concentration was 1505 (517-4014) pg/mL. Although GFR estimated by MDRD-1 was a univariate marker of all-cause mortality, the only predictor of either endpoint independent of other variables was an NT-proBNP concentration above the median.
CONCLUSION: NT-proBNP appears superior to GFR estimated by MDRD in patients with advanced CHF. Moreover, NT-proBNP was able to identify patients with a poor prognosis whose GFR was already low.

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Year:  2007        PMID: 17967819     DOI: 10.1093/eurheartj/ehm480

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  9 in total

Review 1.  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 2.  Epidemiology and importance of renal dysfunction in heart failure patients.

Authors:  Gregory Giamouzis; Andreas P Kalogeropoulos; Javed Butler; Georgios Karayannis; Vasiliki V Georgiopoulou; John Skoularigis; Filippos Triposkiadis
Journal:  Curr Heart Fail Rep       Date:  2013-12

Review 3.  Prevalence and importance of comorbidities in patients with heart failure.

Authors:  Filippos K Triposkiadis; John Skoularigis
Journal:  Curr Heart Fail Rep       Date:  2012-12

4.  Natriuretic peptides in chronic kidney disease.

Authors:  Rajat Tagore; Lieng H Ling; Hong Yang; Hla-Yee Daw; Yiong-Huak Chan; Sunil K Sethi
Journal:  Clin J Am Soc Nephrol       Date:  2008-07-16       Impact factor: 8.237

5.  B-type natriuretic peptide predicts long-term prognosis in a cohort of critically ill patients.

Authors:  Rui Baptista; Elisabete Jorge; Eduardo Sousa; Jorge Pimentel
Journal:  Heart Int       Date:  2011-10-21

6.  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

7.  The prognostic value of estimated glomerular filtration rate, amino-terminal portion of the pro-hormone B-type natriuretic peptide and parameters of cardiopulmonary exercise testing in patients with chronic heart failure.

Authors:  Hein J Verberne; Aukje van der Spank; Paul Bresser; G Aernout Somsen
Journal:  Heart Int       Date:  2012-06-19

8.  Prognostic utility of B-type natriuretic peptides in patients with heart failure and renal dysfunction.

Authors:  Bård Waldum; Viera Stubnova; Arne S Westheim; Torbjørn Omland; Morten Grundtvig; Ingrid Os
Journal:  Clin Kidney J       Date:  2012-12-21

9.  Clinical Impact of Implantable Cardioverter-Defibrillator Therapy and Mortality Prediction Model for Effective Primary Prevention in Korean Patients.

Authors:  Myung Hwan Bae; Yongkeun Cho; Jongmin Hwang; Hyoung Seob Park; Seongwook Han; Young Soo Lee; Hyun Jun Cho; Byung Chun Jung; Chan Hee Lee; Dae Woo Hyun; Jong Sung Park; Jinhee Ahn; Ki Hun Kim; Dong Gu Shin
Journal:  J Korean Med Sci       Date:  2020-03-09       Impact factor: 2.153

  9 in total

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