Literature DB >> 18082098

[Prognostic significance of creatinine clearance rate in patients with heart failure and normal serum creatinine].

Elisabet Zamora1, Josep Lupón, Agustín Urrutia, Beatriz González, Dolores Mas, Crisanto Díez, Salvador Altimir, Vicente Valle.   

Abstract

Kidney failure is an important prognostic factor in patients with heart failure. Renal function is usually evaluated by measuring the serum creatinine level. However, a normal creatinine level can mask established kidney failure. We investigated the prognostic significance of the estimated creatinine clearance rate (Cockcroft formula) in 235 patients with heart failure and a normal serum creatinine level. The two-year mortality rate was significantly higher in patients who had established kidney disease (i.e., a creatinine clearance rate <60 mL/min) than in those who did not (35.1% vs. 10.1%, P<.001). Even when only patients without established kidney failure were analyzed, the creatinine clearance rate had prognostic significance (rate > or = 90 mL/min, mortality 3.2%; rate 89-60 mL/min, mortality 13.9%; P=.02). On Cox regression analysis, which included age, sex, heart failure etiology, left ventricular ejection fraction, diabetes and hypertension, the creatinine clearance rate remained an independent predictor of mortality.

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Year:  2007        PMID: 18082098     DOI: 10.1157/13113938

Source DB:  PubMed          Journal:  Rev Esp Cardiol        ISSN: 0300-8932            Impact factor:   4.753


  2 in total

1.  An optimal method for measuring biomarkers: colorimetric optical image processing for determination of creatinine concentration using silver nanoparticles.

Authors:  Ramin Narimani; Mehdi Azizi; Mahdad Esmaeili; Seyed Hossein Rasta; Hamid Tayebi Khosroshahi
Journal:  3 Biotech       Date:  2020-09-03       Impact factor: 2.406

2.  Comorbidities, Fragility, and Quality of Life in Heart Failure Patients With Midrange Ejection Fraction.

Authors:  Paloma Gastelurrutia; Josep Lupón; Pedro Moliner; Xiaobo Yang; German Cediel; Marta de Antonio; Mar Domingo; Salvador Altimir; Beatriz González; Margarita Rodríguez; Carmen Rivas; Violeta Díaz; Erik Fung; Elisabet Zamora; Javier Santesmases; Julio Núñez; Jean Woo; Antoni Bayes-Genis
Journal:  Mayo Clin Proc Innov Qual Outcomes       Date:  2018-04-19
  2 in total

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