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You searched for +publisher:"University of Minnesota" +contributor:("Hassan N. Ibrahim MD, MS"). One record found.

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University of Minnesota

1. Afshinnia, Farsad. An optimized classification system of acute kidney injury for predicting the short-term mortality after open heart surgery; comparison of current classification systems.

Degree: MS, Clinical Research, 2010, University of Minnesota

University of Minnesota M.S. thesis. May 2010. Major: Clinical Research. Advisor: Hassan N. Ibrahim MD, MS. 1 computer file (PDF); vii, 66 pages, appendices 1-14. Ill. (some col.)

Epidemiologic studies need a unique operational definition of acute kidney injury (AKI) to compare outcomes. We aimed to compare prognostic value of change in serum creatinine with classification systems of AKI to predict 30day mortality after heart surgery. From VA database, 27410 eligible patients with stable baseline kidney function who had heart surgery from 1999 to 2005 were selected. There was a graded increase in mortality from stage A to stage C of all systems. Adjusted 30day mortality odds ratio starts to increase significantly after an acute rise ≥ 0.3 mg/dL of creatinine in CKD stages 1 and 2, and after 0.6 mg/dL increase in CKD stage 3. Area under ROC curve of change of creatinine from baseline was significantly higher than those of classification systems (P<0.001). In conclusion, compared to continuous increase of creatinine, classification systems of AKI misestimate mortality risk by collapsing predictive, clinically important data into categories.

Advisors/Committee Members: Hassan N. Ibrahim MD, MS.

Subjects/Keywords: Acute kidney injury; Epidemiologic studies; Mortality; Clinical Research

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Afshinnia, F. (2010). An optimized classification system of acute kidney injury for predicting the short-term mortality after open heart surgery; comparison of current classification systems. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/91993

Chicago Manual of Style (16th Edition):

Afshinnia, Farsad. “An optimized classification system of acute kidney injury for predicting the short-term mortality after open heart surgery; comparison of current classification systems.” 2010. Masters Thesis, University of Minnesota. Accessed August 21, 2019. http://purl.umn.edu/91993.

MLA Handbook (7th Edition):

Afshinnia, Farsad. “An optimized classification system of acute kidney injury for predicting the short-term mortality after open heart surgery; comparison of current classification systems.” 2010. Web. 21 Aug 2019.

Vancouver:

Afshinnia F. An optimized classification system of acute kidney injury for predicting the short-term mortality after open heart surgery; comparison of current classification systems. [Internet] [Masters thesis]. University of Minnesota; 2010. [cited 2019 Aug 21]. Available from: http://purl.umn.edu/91993.

Council of Science Editors:

Afshinnia F. An optimized classification system of acute kidney injury for predicting the short-term mortality after open heart surgery; comparison of current classification systems. [Masters Thesis]. University of Minnesota; 2010. Available from: http://purl.umn.edu/91993

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