Assessment of renal function before contrast media injection: right decisions based on inaccurate estimates

Objectives Information on renal function required before specified radiological examinations with contrast agents is usually obtained through prediction equations using serum creatinine and anthropometric data. The aim of our study was to demonstrate discrepancy between poor prediction and good diag...

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Published inEuropean radiology Vol. 29; no. 6; pp. 3192 - 3199
Main Authors Ptáčník, Václav, Zogala, David, Skibová, Daniela, Jiskrová, Hana, Trnka, Jiří, Tesař, Vladimír, Ryšavá, Romana, Šámal, Martin
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2019
Springer Nature B.V
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Abstract Objectives Information on renal function required before specified radiological examinations with contrast agents is usually obtained through prediction equations using serum creatinine and anthropometric data. The aim of our study was to demonstrate discrepancy between poor prediction and good diagnostic accuracy of glomerular filtration rate (GFR) estimated by prediction equations. Methods In 50 patients, reference GFR was measured as plasma clearance of 51-chromium labeled ethylene-diamine-tetraacetic-acid ( 51 Cr-EDTA) and compared with GFR assayed by creatinine clearance (CC) and estimated by Cockcroft-Gault prediction equation (CG). For comparisons, CC and CG were considered as continuous, categorical, and binary variables. Accuracy of the reference GFR prediction was expressed in terms of prediction errors and diagnostic accuracy indices. Results As continuous variable, CG estimated individual values of GFR with large prediction error exceeding that of CC. As categorical variable, it classified the patient stage of chronic kidney disease (CKD) with medium diagnostic accuracy of 74% (CKD 3) and 62% (CKD 4). As binary variable, CG classified individual patient’s GFR below 30 and 60 ml/min/1.73 m 2 with good diagnostic accuracy of 80 and 94%, respectively. Performance of other prediction equations did not significantly differ from CG. Conclusions Despite large variance and poor prediction accuracy of individual GFR estimates, most of them correctly classified individual patient’s GFR below specified level. Results of prediction equations thus should be used and reported exclusively as binary variables, while numerical values of GFR, if required, should be measured by more accurate radionuclide or laboratory methods. Key Points • Radiological guidelines on contrast media require estimation of glomerular filtration rate to assess kidney function before specified contrast examinations. • Estimated glomerular filtration rate is obtained through prediction equations using serum creatinine and anthropometric data as predictors. • While numerical estimates of glomerular filtration rate are inaccurate (their prediction accuracy is poor), diagnostic accuracy of binary estimates (ability to classify patient’s glomerular filtration rate below or above a specified level) is very good.
AbstractList ObjectivesInformation on renal function required before specified radiological examinations with contrast agents is usually obtained through prediction equations using serum creatinine and anthropometric data. The aim of our study was to demonstrate discrepancy between poor prediction and good diagnostic accuracy of glomerular filtration rate (GFR) estimated by prediction equations.MethodsIn 50 patients, reference GFR was measured as plasma clearance of 51-chromium labeled ethylene-diamine-tetraacetic-acid (51Cr-EDTA) and compared with GFR assayed by creatinine clearance (CC) and estimated by Cockcroft-Gault prediction equation (CG). For comparisons, CC and CG were considered as continuous, categorical, and binary variables. Accuracy of the reference GFR prediction was expressed in terms of prediction errors and diagnostic accuracy indices.ResultsAs continuous variable, CG estimated individual values of GFR with large prediction error exceeding that of CC. As categorical variable, it classified the patient stage of chronic kidney disease (CKD) with medium diagnostic accuracy of 74% (CKD 3) and 62% (CKD 4). As binary variable, CG classified individual patient’s GFR below 30 and 60 ml/min/1.73 m2 with good diagnostic accuracy of 80 and 94%, respectively. Performance of other prediction equations did not significantly differ from CG.ConclusionsDespite large variance and poor prediction accuracy of individual GFR estimates, most of them correctly classified individual patient’s GFR below specified level. Results of prediction equations thus should be used and reported exclusively as binary variables, while numerical values of GFR, if required, should be measured by more accurate radionuclide or laboratory methods.Key Points• Radiological guidelines on contrast media require estimation of glomerular filtration rate to assess kidney function before specified contrast examinations.• Estimated glomerular filtration rate is obtained through prediction equations using serum creatinine and anthropometric data as predictors.• While numerical estimates of glomerular filtration rate are inaccurate (their prediction accuracy is poor), diagnostic accuracy of binary estimates (ability to classify patient’s glomerular filtration rate below or above a specified level) is very good.
Information on renal function required before specified radiological examinations with contrast agents is usually obtained through prediction equations using serum creatinine and anthropometric data. The aim of our study was to demonstrate discrepancy between poor prediction and good diagnostic accuracy of glomerular filtration rate (GFR) estimated by prediction equations. In 50 patients, reference GFR was measured as plasma clearance of 51-chromium labeled ethylene-diamine-tetraacetic-acid ( Cr-EDTA) and compared with GFR assayed by creatinine clearance (CC) and estimated by Cockcroft-Gault prediction equation (CG). For comparisons, CC and CG were considered as continuous, categorical, and binary variables. Accuracy of the reference GFR prediction was expressed in terms of prediction errors and diagnostic accuracy indices. As continuous variable, CG estimated individual values of GFR with large prediction error exceeding that of CC. As categorical variable, it classified the patient stage of chronic kidney disease (CKD) with medium diagnostic accuracy of 74% (CKD 3) and 62% (CKD 4). As binary variable, CG classified individual patient's GFR below 30 and 60 ml/min/1.73 m with good diagnostic accuracy of 80 and 94%, respectively. Performance of other prediction equations did not significantly differ from CG. Despite large variance and poor prediction accuracy of individual GFR estimates, most of them correctly classified individual patient's GFR below specified level. Results of prediction equations thus should be used and reported exclusively as binary variables, while numerical values of GFR, if required, should be measured by more accurate radionuclide or laboratory methods. • Radiological guidelines on contrast media require estimation of glomerular filtration rate to assess kidney function before specified contrast examinations. • Estimated glomerular filtration rate is obtained through prediction equations using serum creatinine and anthropometric data as predictors. • While numerical estimates of glomerular filtration rate are inaccurate (their prediction accuracy is poor), diagnostic accuracy of binary estimates (ability to classify patient's glomerular filtration rate below or above a specified level) is very good.
Objectives Information on renal function required before specified radiological examinations with contrast agents is usually obtained through prediction equations using serum creatinine and anthropometric data. The aim of our study was to demonstrate discrepancy between poor prediction and good diagnostic accuracy of glomerular filtration rate (GFR) estimated by prediction equations. Methods In 50 patients, reference GFR was measured as plasma clearance of 51-chromium labeled ethylene-diamine-tetraacetic-acid ( 51 Cr-EDTA) and compared with GFR assayed by creatinine clearance (CC) and estimated by Cockcroft-Gault prediction equation (CG). For comparisons, CC and CG were considered as continuous, categorical, and binary variables. Accuracy of the reference GFR prediction was expressed in terms of prediction errors and diagnostic accuracy indices. Results As continuous variable, CG estimated individual values of GFR with large prediction error exceeding that of CC. As categorical variable, it classified the patient stage of chronic kidney disease (CKD) with medium diagnostic accuracy of 74% (CKD 3) and 62% (CKD 4). As binary variable, CG classified individual patient’s GFR below 30 and 60 ml/min/1.73 m 2 with good diagnostic accuracy of 80 and 94%, respectively. Performance of other prediction equations did not significantly differ from CG. Conclusions Despite large variance and poor prediction accuracy of individual GFR estimates, most of them correctly classified individual patient’s GFR below specified level. Results of prediction equations thus should be used and reported exclusively as binary variables, while numerical values of GFR, if required, should be measured by more accurate radionuclide or laboratory methods. Key Points • Radiological guidelines on contrast media require estimation of glomerular filtration rate to assess kidney function before specified contrast examinations. • Estimated glomerular filtration rate is obtained through prediction equations using serum creatinine and anthropometric data as predictors. • While numerical estimates of glomerular filtration rate are inaccurate (their prediction accuracy is poor), diagnostic accuracy of binary estimates (ability to classify patient’s glomerular filtration rate below or above a specified level) is very good.
Author Trnka, Jiří
Jiskrová, Hana
Zogala, David
Skibová, Daniela
Ryšavá, Romana
Ptáčník, Václav
Tesař, Vladimír
Šámal, Martin
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Snippet Objectives Information on renal function required before specified radiological examinations with contrast agents is usually obtained through prediction...
Information on renal function required before specified radiological examinations with contrast agents is usually obtained through prediction equations using...
ObjectivesInformation on renal function required before specified radiological examinations with contrast agents is usually obtained through prediction...
OBJECTIVESInformation on renal function required before specified radiological examinations with contrast agents is usually obtained through prediction...
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SubjectTerms Accuracy
Adult
Aged
Aged, 80 and over
Anthropometry
Chromium
Chromium radioisotopes
Continuity (mathematics)
Contrast agents
Contrast Media
Contrast Media - administration & dosage
Creatinine
Creatinine - blood
Diagnostic Radiology
Diagnostic systems
Estimates
Ethylenediaminetetraacetic acids
Female
Glomerular filtration rate
Glomerular Filtration Rate - physiology
Humans
Imaging
Injections, Intravenous
Internal Medicine
Interventional Radiology
Kidney - diagnostic imaging
Kidney - metabolism
Kidney - physiopathology
Kidney diseases
Kidneys
Laboratory methods
Male
Medicine
Medicine & Public Health
Middle Aged
Neuroradiology
Radiography - methods
Radioisotopes
Radiology
Renal function
Renal Insufficiency, Chronic - blood
Renal Insufficiency, Chronic - diagnosis
Renal Insufficiency, Chronic - physiopathology
Reproducibility of Results
Ultrasound
Young Adult
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Title Assessment of renal function before contrast media injection: right decisions based on inaccurate estimates
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