{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13"],"submitter":["Yu Y"],"pubmed_abstract":["<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 crud"],"journal":["Frontiers in pharmacology"],"pagination":["957980"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9543451"],"repository":["biostudies-literature"],"pubmed_title":["Detection of pediatric drug-induced kidney injury signals using a hospital electronic medical record database."],"pmcid":["PMC9543451"],"pubmed_authors":["Peng X","Xie Y","Cao W","Wang X","Nie X","Zhao Y","Yu Y"],"additional_accession":[]},"is_claimable":false,"name":"Detection of pediatric drug-induced kidney injury signals using a hospital electronic medical record database.","description":"<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 crud","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-04T14:34:48.272Z","creation":"2025-04-04T14:34:48.272Z"},"accession":"S-EPMC9543451","cross_references":{"pubmed":["36210853"],"doi":["10.3389/fphar.2022.957980"]}}