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Kellum, John A

0000-0003-1995-2653

Mayo Clinic

Center for Critical Care Nephrology and.

Citations 13

Drug Class Combination–Associated Acute Kidney Injury
Rivosecchi, Ryan , Kellum, John A. , Dasta, Joseph F. , Armahizer, Michael , Bolesta, Scott , Buckley, Mitchell S. , Frazee, Erin N., Johnson, Heather , Murugan, Raghavan , Smithburger, Pamela L. , Gill, Sandra L., Kane‐Gill, Sandra L. , Dzierba, Amy L. , Frazee, Erin N., Kim, Catherine , Wong, Adrian , Kane-Gill, Sandra L , Kellum, John A

Annals of Pharmacotherapy | July 7, 2016 | Volume: 50 | Issue: 11 | Pages: 953-972

10.1177/1060028016657839 Get It

Objective: To evaluate the quality of available evidence of drug class combinations and their association with the development of acute kidney injury (AKI). Data Sources: A search of MEDLINE and Embase databases was completed using the following terms: “risk factor AND (acute kidney injury or acute kidney failure) AND (drug or medication).” Study Selection and Data Extraction: Inclusion criteria were the following: English language, full-text availability, and at least 1 drug-combination. Each citation was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) criteria. The literature was evaluated using the quality of evidence component of GRADE. No standardized definition of AKI was applied throughout.. Data Synthesis: Out of 2139 total citations, 151 were assessed for full-text review, with 121 citations (6%) meeting inclusion criteria, producing76 unique drug class combinations. Overall, 56 combinations (73.7%) were considered very low quality; 12 (15.8%) were considered low quality. There were 8 (10.5%) of moderate quality, and no combination was considered high quality. 58 (76%) combinations that had a single citation,with a mean of 1.6 citations per drug class combination. The combination of nonsteroidal anti-inflammatory drugs (NSAIDs) and diuretics was reported in 10 citations, the largest number of citations. Conclusions: Our study demonstrates a lack of well-designed studies addressing drug class combination–associated AKI. The combination of NSAIDs and diuretics with or without additional renin-angiotensin aldosterone agents had the strongest level of evidence. Despite limitations, the information included in this review may result in additional scrutiny about combining certain individual nephrotoxic drugs.
Biomarkers for Acute Kidney Injury: Where Are We Today? Where Should We Go?
Chawla, Lakhmir S. , Kellum, John A. , Mehta, Ravindra L. , Lieske, John C. , Kashani, Kianoush , Koyner, Jay L. , Mehta, Ravindra L , Kellum, John A

Clinical Chemistry | August 19, 2013 | Volume: 60 | Issue: 2 | Pages: 294-300

10.1373/clinchem.2012.201988 Get It

Risk Factors for Radiocontrast Nephropathy After Emergency Department Contrast‐enhanced Computerized Tomography
Traub, Stephen J., Kellum, John A. , Tang, Aimee, Cataldo, Lauren, Kancharla, Adarsh, Shapiro, Nathan I. , Kellum, John A

Academic Emergency Medicine | January 14, 2013 | Volume: 20 | Issue: 1 | Pages: 40-45

10.1111/acem.12059 Get It

AbstractObjectivesRadiocontrast nephropathy (RCN) is a known complication of procedures in which intravascular iodinated contrast material is used. The authors sought to determine the risk factors for RCN after emergency department (ED) contrast‐enhanced computerized tomography (CECT).MethodsThis was a retrospective case–control study of patients presenting to a tertiary care ED between January 1, 2004, and December 31, 2006. Inclusion criteria were CECT performed in the ED, serum creatinine measured prior to CECT, and serum creatinine measured 48 to 96 hours after CECT. Exclusion criterion was dialysis‐dependent renal failure prior to CECT. The outcome of RCN was defined as an absolute creatinine increase of greater than or equal to 0.5 mg/dL, or a 25% increase above baseline. The charts of all RCN patients and a random sample of non‐RCN patients were reviewed to document the presence or absence of potential risk factors. Univariate analysis was performed using chi‐square and multiple logistic regression applying a weighted technique to account for sampling of non‐RCN patients.ResultsAmong the 5,006 patients meeting inclusion criteria, 349 (7%) developed RCN. Multiple regression analysis demonstrated that serum creatinine > 2 mg/dL, liver disease, heart failure, hematocrit < 30%, hypertension, and diabetes were risk factors for RCN, whereas age > 75 years, vascular disease, and serum creatinine > 1.5 mg/dL were not. The area under the curve (AUC) for the model was 0.65. Although the risk of RCN increased with the number of risk factors present, we could not develop a model with sufficient diagnostic accuracy to guide clinical decision‐making.ConclusionsThe authors report risk factors for RCN in a large case–control study, but could not develop an accurate decision tool to identify patients at increased risk for RCN after ED CECT.