Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Urinary Tissue Inhibitor Of Metalloproteinase-2 And Insulin-Like Growth Factor-Binding Protein 7 For Risk Stratification Of Acute Kidney Injury In Patients With Sepsis., Patrick M Honore, H Bryant Nguyen, Michelle Gong, Lakhmir S. Chawla, Sean M Bagshaw, Antonio Artigas, Jing Shi, Olivier Joannes-Boyau, Jean-Louis Vincent, John A Kellum

Anesthesiology and Critical Care Medicine Faculty Publications

Objectives:

To examine the performance of the urinary biomarker panel tissue inhibitor of metalloproteinase-2 and insulin-like growth factor-binding protein 7 in patients with sepsis at ICU admission. To investigate the effect of nonrenal organ dysfunction on tissue inhibitor of metalloproteinase-2 and insulin-like growth factor-binding protein 7 in this population.

Method:

In this ancillary analysis, we included patients with sepsis who were enrolled in either of two trials including 39 ICUs across Europe and North America. The primary endpoint was moderate-severe acute kidney injury (equivalent to Kidney Disease Improving Global Outcome stage 2–3) within 12 hours of enrollment. We assessed biomarker …

Common Chronic Conditions Do Not Affect Performance Of Cell Cycle Arrest Biomarkers For Risk Stratification Of Acute Kidney Injury, Michael Heung, Luis Ortega, Lakhmir S. Chawla, Richard G. Wunderink, Wesley H. Self, Jay Koyner, Jing Shi, John A. Kellum

Anesthesiology and Critical Care Medicine Faculty Publications

Background Identification of acute kidney injury (AKI) can be challenging in patients with underlying chronic disease, and biomarkers often perform poorly in this population. In this study we examined the performance characteristics of the novel biomarker panel of urinary tissue inhibitor of metalloproteinases-2 (TIMP2) and insulin-like growth factor-binding protein 7 ([IGFBP7]) in patients with a variety of comorbid conditions.

Methods We analyzed data from two multicenter studies of critically ill patients in which [TIMP2]•[IGFBP7] was validated for prediction of Kidney Disease: Improving Global Outcomes (KDIGO) Stage 2 or 3 AKI within 12 h. We constructed receiver operating characteristic (ROC) curves …

Clinical Adjudication In Acute Kidney Injury Studies: Findings From The Pivotal Timp-2*Igfbp7 Biomarker Study, Kathleen D. Liu, Anitha Vijayan, Mitchell H. Rosner, Jing Shi, Lakhmir S. Chawla, John A. Kellum

Anesthesiology and Critical Care Medicine Faculty Publications

Background The NEPROCHECK test (Astute Medical, San Diego, CA, USA) combines urinary tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth factor binding protein 7 (IGFBP7) to identify patients at high risk for acute kidney injury (AKI). In a US Food and Drug Administration registration trial (NCT01573962), AKI was determined by a three-member clinical adjudication committee. The objectives were to examine agreement among adjudicators as well as between adjudicators and consensus criteria for AKI and to determine the relationship of biomarker concentrations and adjudicator agreement.

Methods Subjects were classified as AKI 3/3, 2/3, 1/3 or 0/3 according to the …

Renal Stress Testing In The Assessment Of Kidney Disease, Lakhmir S. Chawla, Claudio Ronco

Anesthesiology and Critical Care Medicine Faculty Publications

As part of human evolutionary development, many human organ systems have innate mechanisms to adapt to increased “work demand” or stress. This reserve capacity can be informative and is used commonly in cardiology to assess cardiac function (e.g., treadmill test). Similarly, the kidney possesses reserve capacity, which can be demonstrated in at least 2 of the following renal domains: glomerular and tubular. When appropriate stimulants are used, healthy patients with intact kidneys can significantly increase their glomerular filtration rate and their tubular secretion. This approach has been used to develop diagnostics for the assessment of renal function. This article reviews …

Utilizing Electronic Health Records To Predict Acute Kidney Injury Risk And Outcomes: Workgroup Statements From The 15th Adqi Consensus Conference, Scott M. Sutherland, Lakhmir S. Chawla, Sandra Kane-Gill, Raymond K. Hsu, Andrew A. Kramer, Stuart A. Goldstein, John A Kellum, Claudio Ronco, Sean M. Bagshaw, On Behalf Of The 15 Adqi Consensus Group

Anesthesiology and Critical Care Medicine Faculty Publications

The data contained within the electronic health record (EHR) is “big” from the standpoint of volume, velocity, and variety. These circumstances and the pervasive trend towards EHR adoption have sparked interest in applying big data predictive analytic techniques to EHR data. Acute kidney injury (AKI) is a condition well suited to prediction and risk forecasting; not only does the consensus definition for AKI allow temporal anchoring of events, but no treatments exist once AKI develops, underscoring the importance of early identification and prevention. The Acute Dialysis Quality Initiative (ADQI) convened a group of key opinion leaders and stakeholders to consider …