Journal Article

32 A descriptive analysis of medications administered to CKD patients at GOSH for anaemia and other blood disorders

Briggs, Lydia, Spiridou, Anastassia, Booth, John, Key, Daniel, Bryant, William A, Pissaridou, Eleni, Sebire, Neil J, Bowyer, Stuart A, Shah, Mohsin

2023

Overview

IntroductionMedications for ‘Anaemia and other Blood Disorders’ (BNF 9.1) are commonly administered to patients diagnosed with Chronic Kidney Disease (CKD) to help control associated conditions. In this study, we used routinely collected data of Great Ormond Street Hospital (GOSH) patients to describe the medication administration characteristics while gaining a better understanding of this rich data set, and how it can be leveraged to provide an informative summary to clinicians and researchers as part of a clinical informatics consultation tool.MethodsWe performed a retrospective study of GOSH patients diagnosed with CKD between 2005 and 2021 that were administered medications for anaemia and other blood disorders. We conducted descriptive analyses using R scripts. Data sets were extracted using processes developed by the GOSH Digital Research Environment (DRE) group. Analyses focused on the number of patients receiving each medication and how long after diagnosis a medication was administered. We also looked for patterns in the order that medications were administered, based on when each medication was first administered.ResultsOur data set consisted of 14 different medications and Electronic Health Records (EHRs) of 795 CKD patients. Darbepoetin alfa and sodium feredetate had the highest number of patients (n=361), followed by epoetin beta (n=286). Darbepoetin alfa was administered on average 10 days after a stage 5 diagnosis (n=255). The median (Q1-Q3) number of medications per patient was 2 (1-3).ConclusionsWe identified patterns in the order these medications were administered. Processes and tools developed by the DRE enabled us to efficiently acquire rich patient data. The analysis presented in this study could be implemented as a component of a clinical informatics tool that supports automated and reproducible data-driven medical research.

• Publisher: BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health,BMJ Publishing Group LTD
• Subject: Anemia / Blood / Blood diseases / Diagnosis / Drugs / Electronic health records / Electronic medical records / Erythropoietin / Informatics / Information Science / Kidney diseases / Medical research / Patients / Pediatrics / Posters presentations