Dr Macaulay Onuigbo

Dr Macaulay Onuigbo

Dr Macaulay OnuigboNephrology

USA

I have contributed to the modern medical English literature and published and reported on several new syndromes
including the syndrome of late onset renal failure from angiotensin blockade (LORFFAB, 2005), the concept of
Renoprevention (2009), the syndrome of rapid onset end stage renal disease (SORO-ESRD, 2010), Cognitive
Drift with the EMR (2012) and Quadruple Whammy (2013). I have 3 published Nephrology books, 18 book
chapters, over 100 peer-reviewed PubMed cited journal publications, and about 175 published conference
abstracts. I am the Principal Investigator of an industry-sponsored study that involves a Retrospective Chart
Review of Patients Using Automated Peritoneal Dialysis With or Without Remote Monitoring here at UVMMC
(CHRMS: 18-0490, February 2018 – Present). My research interests include acute kidney injury and in particular,
prevention of post-operative acute kidney injury. I am also working on a new CKD Care Model that involves ITenabled
remote monitoring of kidney function to improve population-wide CKD health. I am a frequent reviewer
for journals in Nephrology, Hypertension and General Internal Medicine. For community service, I am part of a team developing a Telemedicine portal to deliver robust, portable, reliable, convenient, affordable and patientcentered
care to patients in the developing world.
My long-term research interests include chronic kidney disease (CKD) progression, the impact of acute kidney
injury (AKI) on CKD progression, Renoprotection strategies, Renoprevention paradigms, and perioperative risk
stratification of CKD patients. The overarching goals include the minimization of iatrogenic nephrotoxicity and
the identification of potentially preventable risk factors to prevent or alleviate the incidence of postoperative AKI, a significant contributor to hospital-acquired AKI. Furthermore, we have interest in the leveraging Healthcare
Informatics/Information Technology to optimize CKD care in the general population via the application of the
analysis of serum creatinine trajectories.