The Cockcroft-Gault
Autor: | Aloysius G. Lieverse, Nanne Kleefstra, Henk J. G. Bilo, Susan J. J. Logtenberg, Klaas H. Groenier, Liane Santing, I. Drion, Hanneke Joosten |
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Přispěvatelé: | Lifestyle Medicine (LM) |
Jazyk: | angličtina |
Rok vydání: | 2011 |
Předmět: |
Male
Health (social science) Overweight Kidney urologic and male genital diseases GLOMERULAR-FILTRATION-RATE DISEASE Body Mass Index Diabetes mellitus Epidemiology EQUATION Diabetic Nephropathies Estimated glomerular filtration rate reproductive and urinary physiology education.field_of_study Middle Aged female genital diseases and pregnancy complications Creatinine Female Original Article medicine.symptom medicine.medical_specialty ALBUMINURIA Population Renal function AGE Bias Physiology (medical) Internal medicine medicine Humans Obesity education METAANALYSIS Aged Retrospective Studies SERUM CREATININE business.industry Reproducibility of Results PERFORMANCE medicine.disease BODY-MASS INDEX Creatinine clearance Endocrinology Albuminuria Kidney Failure Chronic WEIGHT business Body mass index Mathematics Kidney disease |
Zdroj: | Obesity Facts, 4(5), 393-399. S. Karger AG |
ISSN: | 1662-4033 1662-4025 |
DOI: | 10.1159/000333399 |
Popis: | Background: The performance of the Cockcroft-Gault (CG) equation, the Modification of Diet in Renal Disease (MDRD) formula, and the Chronic Kidney Disease Epidemiology Collaboration equation (CKD-EPI) was evaluated in body mass index (BMI) categories. Material and Methods: In this retrospective cohort study in diabetic patients, creatinine clearance was measured by collecting 24-hour urines. Renal function was estimated using the CG, MDRD, and CKD-EPI. The performance of the equations was evaluated using correlation, Krippendorff's coefficient, bias, precision, and accuracy. Results: The bias of the MDRD and CKD-EPI increased from -13.9 ml/min/1.73 m(2) and -14.0 ml/min/1.73 m(2) (BMI 30 kg/m(2)), respectively. Bias of the CG decreased from -13.4 ml/min (BMI 30 kg/m(2)). With an accepted 30% dispersion, CG had the largest accuracy in the overweight and obese group (76.9 and 76.8%, respectively). The MDRD and CKD-EPI had an accuracy of 45.8 and 34.0% (overweight group), respectively,and 51.9 and 37.3% (obese group), respectively. Conclusions: All renal function prediction equations are biased when used in overweight or obese diabetic populations with preserved renal function. The CG provides the best estimate of kidney function. The limitations of renal function prediction equations should be kept in mind when making clinical decisions. |
Databáze: | OpenAIRE |
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