Literature DB >> 18588828

Estimated creatinine clearance: a determinant prognostic factor in heart failure.

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

Abstract

BACKGROUND AND
OBJECTIVE: Patients with heart failure and overt kidney failure (KF) have poor prognosis. Even mild degrees of kidney dysfunction might have prognostic value. The aim was to assess whether creatinine clearance values estimated with Cockroft formula correlated with survival at 2 years of follow-up in an outpatient heart failure unit population. PATIENTS AND
METHOD: 423 patients (72% men), with a mean (standard deviation) age of 65.5 (11) years, were studied. Etiology of heart failure was mainly ischemic heart disease (59.6%). Mean left ventricle ejection fraction was 32.3% (13.3%). Patients were grouped according to stages of chronic kidney disease: $ 90 ml/min; 89-60 ml/min; 59-30 ml/min; 29-15 ml/min, and < 15 ml/min or on dialysis. KF was defined as creatinine clearance < 60 ml/min.
RESULTS: Prevalence of KF was 52%. Mortality at 2 years was 3.2% in patients with creatinine clearance >or= 90 ml/min; 13.7% between 89-60 ml/min; 23.7% between 59-30 ml/min; 51% between 29-15 ml/min and 80% in patients with creatinine clearance < 15 ml/min or on dialysis (p < 0.001). Mortality was 30.4% in patients with KF and 10.3% in those without it (p < 0.001).
CONCLUSIONS: Creatinine clearance values estimated by Cockroft formula had a highly predictive prognostic value in patients with heart failure. Even mild degrees of kidney function impairment showed higher mortality than normal kidney function values.

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Year:  2008        PMID: 18588828     DOI: 10.1157/13123488

Source DB:  PubMed          Journal:  Med Clin (Barc)        ISSN: 0025-7753            Impact factor:   1.725


  1 in total

1.  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
  1 in total

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