Faculty/Authors
Robert Bubar, MD Sarah Wheeler, PhD Department of Pathology University of Pittsburgh
CME or CMLE Credit: 2.0 Estimated Completion Time: 2 hoursFormat: Online Educational Activity and Post Exam Physician Competencies: Patient Care, Medical KnowledgeEligibility for CME/CMLE credit: Max three attempts. You will have a maximum of three attempts to meet the following criteria:
Default Credit Type: None (You must meet the eligibility requirements in order to obtain CME credit.) Accreditation Statement: The American Society for Clinical Pathology (ASCP) is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education (CME) for physicians. This activity has been planned and implemented in accordance with the Essential Areas and Policies of the Accreditation Council for Continuing Medical Education (ACCME).Credit Designation Statement: The American Society for Clinical Pathology (ASCP) designates this enduring material for a maximum of 2 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Instructions
To claim CME credit for the exercise, do the following:
To claim CMLE credit for the exercise, do the following:
Faculty DisclosuresFaculty Disclosures
Technical Considerations
Release Date: 06/30/2022Review Date:Expiration Date: 12/31/2024
compare and contrast the 3 main criteria for diagnosis and assessment of acute kidney injury (AKI) in children;
explain the physiology behind laboratory measurement of serum creatinine as a method of assessing AKI in children;
explain the physiology behind urine neutrophil gelatinase-associated lipocalin (uNGAL) as a method of assessing AKI in children;
discuss the benefits and drawbacks of using uNGAL compared with using serum creatinine for assessment of AKI in children;
identify the ways that uNGAL is being used in the clinical setting and the limitations to implementing it into standard AKI criteria; and
evaluate serum creatinine and uNGAL findings to diagnose and stratify AKI in pediatric patients based on predicted risk.