Development and validation of an automated algorithm for identifying patients at higher risk for drug-induced acute kidney injury.

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Bibliographic Details
Title: Development and validation of an automated algorithm for identifying patients at higher risk for drug-induced acute kidney injury.
Authors: Jeon N; Department of Pharmacotherapy, College of Pharmacy University of Utah, Salt Lake City, UT., Staley B; Department of Pharmacy, UF Health Shands Hospital, Gainesville, FL., Henriksen C; Department of Pharmaceutical Outcomes and Policy, College of Pharmacy University of Florida, Gainesville, FL., Lipori GP; University of Florida Health and Shands Hospital, Gainesville, FL., Winterstein AG; Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, Department of Epidemiology, College of Public Health and Health Profession & College of Medicine, University of Florida, Gainesville, FL.
Source: American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists [Am J Health Syst Pharm] 2019 May 02; Vol. 76 (10), pp. 654-666.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9503023 Publication Model: Print Cited Medium: Internet ISSN: 1535-2900 (Electronic) Linking ISSN: 10792082 NLM ISO Abbreviation: Am J Health Syst Pharm Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1535-2900
DOI:10.1093/ajhp/zxz043