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
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