The Modification of Diet in Renal Disease (MDRD) equations provide valid estimations of glomerular filtration rates in patients with advanced heart failure
| Autor: | Kwok S. Chong, Theresa McDonagh, Roy S. Gardner, Eileen O'Meara, James B. Neilly, Allan G. Jardine |
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| Rok vydání: | 2004 |
| Předmět: |
Male
medicine.medical_specialty medicine.medical_treatment Renal function urologic and male genital diseases Body weight Severity of Illness Index Internal medicine Medicine Humans In patient reproductive and urinary physiology Retrospective Studies Heart transplantation Heart Failure Receiver operating characteristic business.industry Limits of agreement Mean age Middle Aged medicine.disease Prognosis female genital diseases and pregnancy complications Diet Endocrinology ROC Curve Heart failure Cardiology Disease Progression Heart Transplantation Female Kidney Diseases Cardiology and Cardiovascular Medicine business Algorithms Glomerular Filtration Rate |
| Zdroj: | European journal of heart failure. 8(1) |
| ISSN: | 1388-9842 |
| Popis: | Background: Glomerular filtration rate (GFR) has major prognostic implications in heart failure. Our objective was to validate the MDRD prediction equations for GFR in patients with advanced heart failure, and to compare their predictive performance to that of the Cockcroft–Gault (CG) equation. Methods: We analysed GFR in 45 patients referred for heart transplantation evaluation. 51Cr–EDTA-measured GFR was compared to GFR estimates obtained by MDRD1 and MDRD2 equations, CG equation using actual body weight, and ideal body weight. Regression analyses and Pearson correlations were performed, and Bland and Altman plots were drawn. ROC curves were obtained to illustrate each equation's ability to predict a GFR less than 60 ml/min/1.73 m2 (moderate renal impairment). Results: Patients had a mean age of 52 years, and 69% were in NYHA class III. The mean EDTA-measured GFR was 46.9±17.2 ml/min/1.73 m2. The MDRD1 equation provided the best predictive model (narrowest limits of agreement; r=0.766, p |
| Databáze: | OpenAIRE |
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