Virtual Care in Nephrology: An In-Depth Retrospective Analysis of Outcomes Using the Reset Kidney Health Model

J Clin Med. 2023 Dec 22;13(1):66. doi: 10.3390/jcm13010066.

Abstract

The advent of virtual healthcare has reshaped patient management paradigms across various medical domains. This analysis examines the potential effectiveness of treating chronic kidney disease (CKD) using Reset Kidney Health's virtual, multidisciplinary, and integrated care approach. The pilot study concentrated on evaluating the impact of this care model on the estimated Glomerular Filtration Rate (eGFR) of CKD patients over an eight-month period. The analyses showed that a majority of patients managed with the Reset Kidney Health Model experienced stability or improvements in their kidney function, as measured by eGFR. While this pilot study has several limitations, these early results suggest the potential benefits of digital healthcare innovations in chronic disease management and provide an argument for the broader integration of virtual care strategies in healthcare systems. These initial findings could lay the groundwork for further research into effectively integrating digital healthcare in chronic disease management.

Keywords: angiotensin II receptor blockers (ARB medications); angiotensin-converting enzyme inhibitors (ACE inhibitor); chronic kidney disease (CKD); end-stage renal disease (ESRD); estimated glomerular filtration rate (eGFR); nonsteroidal anti-inflammatory drugs (NSAIDs); primary care physician (PCP); sodium-glucose co-transporter 2 inhibitors (SGLT 2 inhibitor); urine albumin-to-creatinine ratio (UACR).

Grants and funding

This research was funded by the founders of Reset Kidney Health, Arun Sharma and Bessant Parker, MD. The APC (article processing charges) were also covered by Reset Kidney Health. No external funding was received for this study. All funding details provided have been verified for accuracy, and the standard spelling of the funding agency name has been cross-referenced with the database provided by Crossref.