J
Julius Agbeve
Researcher at QIMR Berghofer Medical Research Institute
Publications - 3
Citations - 95
Julius Agbeve is an academic researcher from QIMR Berghofer Medical Research Institute. The author has contributed to research in topics: Postprandial & Renal replacement therapy. The author has an hindex of 3, co-authored 3 publications receiving 49 citations.
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Journal ArticleDOI
The Effect of Renal Replacement Therapy and Antibiotic Dose on Antibiotic Concentrations in Critically Ill Patients: Data From the Multinational Sampling Antibiotics in Renal Replacement Therapy Study
Jason A. Roberts,Gavin M. Joynt,Anna Lee,Gordon Y.S. Choi,Rinaldo Bellomo,Salmaan Kanji,Salmaan Kanji,M Yugan Mudaliar,Sandra L. Peake,Sandra L. Peake,Dianne P Stephens,Fabio Silvio Taccone,Marta Ulldemolins,Miia Valkonen,Julius Agbeve,João P Baptista,Vasileios Bekos,Clément Boidin,Clément Boidin,Alexander Brinkmann,Luke Buizen,Pedro Castro,C Louise Cole,C Louise Cole,Jacques Creteur,Jan J. De Waele,Renae Deans,Glenn M Eastwood,Leslie Escobar,Charles D. Gomersall,Rebecca Gresham,Janattul Ain Jamal,Stefan Kluge,Christina König,Christina König,Vasilios P Koulouras,Melissa Lassig-Smith,Pierre-François Laterre,Katie Lei,Patricia Leung,Jean-Yves Lefrant,Mireia Llaurado-Serra,Ignacio Martin-Loeches,Mohd Basri Mat Nor,Marlies Ostermann,Suzanne L. Parker,Jordi Rello,Darren M. Roberts,Michael S. Roberts,Michael S. Roberts,Brent Richards,Alejandro Rodríguez,Anka C Roehr,Claire Roger,Leonardo Seoane,Leonardo Seoane,Mahipal G. Sinnollareddy,Eduardo Sousa,Dolors Soy,Anna Spring,Therese Starr,Jane Thomas,John D. Turnidge,Steven C. Wallis,Tricia Williams,Tricia Williams,Xavier Wittebole,Xanthi T Zikou,Sanjoy K. Paul,Jeffrey Lipman,Jeffrey Lipman +70 more
TL;DR: In critically ill patients treated with RRT, antibiotic dosing regimens, RRT prescription and eTRCL varied markedly and resulted in highly variable antibiotic concentrations that failed to meet therapeutic targets in many patients.
Journal ArticleDOI
Data Mining Approach to Identify Disease Cohorts from Primary Care Electronic Medical Records: A Case of Diabetes Mellitus
TL;DR: Deterministic cohort selection based on disease coding potentially introduces significant mis-classification problem and probabilistic machine learning methodologies, which allow testing for potential disease predictors, are able to identify diseased cohorts in a holistic way.
Journal ArticleDOI
Comparison of trajectories of self-monitored glucose levels by hypoglycemia status over 52 weeks of treatment with insulin glargine or exenatide once weekly.
TL;DR: Self‐monitoring of blood glucose (SMBG) is used as a means to detect and prevent hypoglycemia in patients with diabetes, but information on the longitudinal measures (trajectory) of SMBG‐based pre‐ and postprandial glucose fluctuations over time in relation to hyp glucosecemia is limited.