biostudies-literatureUnknown13Yu Y<b>Background:</b> Drug-induced kidney injury (DIKI) is one of the most common complications in clinical practice. Detection signals through post-marketing approaches are of great value in preventing DIKI in pediatric patients. This study aimed to propose a quantitative algorithm to detect DIKI signals in children using an electronic health record (EHR) database. <b>Methods:</b> In this study, 12 years of medical data collected from a constructed data warehouse were analyzed, which contained 575,965 records of inpatients from 1 January 2009 to 31 December 2020. Eligible participants included inpatients aged 28 days to 18 years old. A two-stage procedure was adopted to detect DIKI signals: 1) stage 1: the suspected drugs potentially associated with DIKI were screened by calculating the crudFrontiers in pharmacology957980https://www.ebi.ac.uk/biostudies/studies/S-EPMC9543451biostudies-literatureDetection of pediatric drug-induced kidney injury signals using a hospital electronic medical record database.PMC9543451Peng XXie YCao WWang XNie XZhao YYu YfalseDetection of pediatric drug-induced kidney injury signals using a hospital electronic medical record database.<b>Background:</b> Drug-induced kidney injury (DIKI) is one of the most common complications in clinical practice. Detection signals through post-marketing approaches are of great value in preventing DIKI in pediatric patients. This study aimed to propose a quantitative algorithm to detect DIKI signals in children using an electronic health record (EHR) database. <b>Methods:</b> In this study, 12 years of medical data collected from a constructed data warehouse were analyzed, which contained 575,965 records of inpatients from 1 January 2009 to 31 December 2020. Eligible participants included inpatients aged 28 days to 18 years old. A two-stage procedure was adopted to detect DIKI signals: 1) stage 1: the suspected drugs potentially associated with DIKI were screened by calculating the crud2022-01-01T00:00:00Z20222025-04-04T14:34:48.272Z2025-04-04T14:34:48.272ZS-EPMC95434513621085310.3389/fphar.2022.957980