BACKGROUND: Considering that contrast medium is excreted through the whole kidney in a similar manner to drug excretion, the use of raw estimated glomerular filtration rate (eGFR) rather than body surface area (BSA)-normalized eGFR is thought to be more appropriate for evaluating the risk of contrast-induced acute kidney injury (CI-AKI). METHODS: This study included 2,189 myocardial infarction patients treated with percutaneous coronary intervention. Logistic regression analysis was performed to identify the independent risk factors. We used receiver-operating characteristic (ROC) curves to compare the ratios of contrast volume (CV) to eGFR with and without BSA normalization in predicting CI-AKI. RESULTS: The area under the curve (AUC) of the ROC curve for the model including all the significant variables such as diabetes mellitus, left ventricular ejection fraction, preprocedural glucose, and the CV/raw modification of diet in renal disease (MDRD) eGFR ratio was 0.768 [95% confidence interval (CI), 0.720-0.816; p < 0.001]. When the CV/raw MDRD eGFR ratio was used as a single risk value, the AUC of the ROC curve was 0.650 (95% CI, 0.590-0.711; p < 0.001). When the CV/MDRD eGFR ratio with BSA normalization ratio was used, the AUC of the ROC curve further decreased to 0.635 (95% CI, 0.574-0.696; p < 0.001). The difference between the two AUCs was significant (p = 0.002). CONCLUSIONS: Raw eGFR is a better predictor for CI-AKI than BSA-normalized eGFR.
BACKGROUND: Considering that contrast medium is excreted through the whole kidney in a similar manner to drug excretion, the use of raw estimated glomerular filtration rate (eGFR) rather than body surface area (BSA)-normalized eGFR is thought to be more appropriate for evaluating the risk of contrast-induced acute kidney injury (CI-AKI). METHODS: This study included 2,189 myocardial infarctionpatients treated with percutaneous coronary intervention. Logistic regression analysis was performed to identify the independent risk factors. We used receiver-operating characteristic (ROC) curves to compare the ratios of contrast volume (CV) to eGFR with and without BSA normalization in predicting CI-AKI. RESULTS: The area under the curve (AUC) of the ROC curve for the model including all the significant variables such as diabetes mellitus, left ventricular ejection fraction, preprocedural glucose, and the CV/raw modification of diet in renal disease (MDRD) eGFR ratio was 0.768 [95% confidence interval (CI), 0.720-0.816; p < 0.001]. When the CV/raw MDRD eGFR ratio was used as a single risk value, the AUC of the ROC curve was 0.650 (95% CI, 0.590-0.711; p < 0.001). When the CV/MDRD eGFR ratio with BSA normalization ratio was used, the AUC of the ROC curve further decreased to 0.635 (95% CI, 0.574-0.696; p < 0.001). The difference between the two AUCs was significant (p = 0.002). CONCLUSIONS: Raw eGFR is a better predictor for CI-AKI than BSA-normalized eGFR.
Entities:
Keywords:
Body surface area normalization; Contrast-induced acute kidney injury; Estimated glomerular filtration rate
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