Mp201urinary Tissue Inhibitor Metalloproteinase-2 (Timp-2) and Igf-Binding Protein-7 (Igfbp7) Levels Are Associated With Persistent Oliguria in Acute Kidney Injury: Preliminary Results

Background: Sepsis-associated acute kidney injury (AKI) is a complex clinical disorder associated with inflammation, endothelial dysfunction, and dysregulated coagulation. With standard regression methods, collinearity among biomarkers may lead to the exclusion of important biological pathways in a single final model. Best subsets regression is an analytic technique that identifies statistically equivalent models, allowing for more robust evaluation of correlated variables. Our objective was to identify common clinical characteristics and biomarkers associated with sepsis-associated AKI. Methods: We enrolled 453 septic adults within 24 hours of intensive care unit admission. Using best subsets regression, we evaluated for associations using a range of models consisting of 1 to 38 predictors (composed of clinical risk factors, plasma and urine biomarkers) with AKI as the outcome (defined as serum creatinine (Scr) increase ≥0.3mg/dL within 48 hours or ≥1.5x baseline Scr within 7 days). Results: 297 patients had AKI. Five-variable models were found to be of optimal complexity as the best subset of five- and six-variable models were statistically equivalent. Within the subset of five-variable models, 46 permutations of predictors were noted to be statistically equivalent. The most common predictors in this subset include diabetes, baseline Scr, Ang2, IL8, sTNFR1, and urine NGAL. The models had a c-statistic of ~0.70 [95% CI 0.65-0.75]. Conclusions: Using best subsets regression, we identified common clinical characteristics and biomarkers associated with sepsis-associated AKI. These variables may be especially relevant in the pathogenesis of sepsis-associated AKI.

show abstract

Using best subset regression to identify clinical characteristics and biomarkers associated with sepsis-associated acute kidney injury

Kwong

Mehta

Miaskowski

et al. 2020

American Journal of Physiology-Renal Physiology

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Mp201urinary Tissue Inhibitor Metalloproteinase-2 (Timp-2) and Igf-Binding Protein-7 (Igfbp7) Levels Are Associated With Persistent Oliguria in Acute Kidney Injury: Preliminary Results

Cited by 1 publication

References 0 publications

Using best subset regression to identify clinical characteristics and biomarkers associated with sepsis-associated acute kidney injury

Using best subset regression to identify clinical characteristics and biomarkers associated with sepsis-associated acute kidney injury

Contact Info

Product

Resources

About