Risk Probability of Having Chronic Kidney Disease over the Past Ten Years Using GH-Method: Math-Physical Medicine (No: 257)
*Corresponding Author: Gerald C Hsu, Medical Research Scientist, 7 Oak Haven Way Woodside, EclaireMD Foundation, CA 94062, USA, Tel: +1-510-331-5000, Email: g.hsu@eclairemd.comReceived Date: Jun 29, 2020 / Accepted Date: Aug 13, 2020 / Published Date: Aug 20, 2020
Citation: Hsu GC (2020) Risk Probability of Having Chronic Kidney Disease over the Past Ten Years Using GH-Method: Math-Physical Medicine. Atheroscler Open Access 5: 132.
Copyright: © 2020 Hsu GC. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
The author, who has type 2 diabetes (T2D) for over 25 years, is a research scientist on chronic diseases. He has endured many complications from T2D involving kidney, bladder, foot ulcer, retinopathy, hyperthyroidism, and five cardiac episodes. In this paper, he focuses on investigating the risk probability (Risk) of having chronic kidney disease (CKD).This investigation does not focus on kidney data (ACR) alone. His main purpose is to study the relationship between kidney complications and chronic diseases, especially T2D and CKD, from a larger pool of associated data. In addition, it has proven that glucose having the role as the “principal criminal” along with the help of blood pressure as the “accessory criminal” committed together to cause kidney damage.