Estimated glucose disposal rate outperforms conventional insulin resistance indices in predicting acute kidney injury risk among individuals with diabetes and prediabetes
Jinsheng Mai, Yiting Wu, Yiwei Zhang, Yanjun Zhang, Sisi Yang, Xianhui Qin, Yuanyuan Zhang, Jianping Jiang · 2026
Read Estimated glucose disposal rate outperforms conventional insulin resistance indices in predicting acute kidney injury risk among individuals with diabetes and prediabetes by Jinsheng Mai, Yiting Wu, Yiwei Zhang, Yanjun Zhang, Sisi Yang, Xianhui Qin, Yuanyuan Zhang, Jianping Jiang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13348857.txt.
Description
Jinsheng Mai and seven co-authors test a simple index for forecasting kidney injury in people with diabetes, in a 2026 study. Sudden kidney injury is a grave risk in diabetes and prediabetes, and insulin resistance is thought to feed it. The index they study, called eGDR, blends waist size, blood pressure status, and a long-term blood sugar measure into one number.
The team followed more than sixty thousand adults with diabetes or prediabetes in the UK Biobank for a median of over thirteen years. People with higher eGDR, meaning milder resistance, faced far lower risk: the top quarter had about sixty-two percent less risk than the bottom quarter. The index also sorted future patients better than seven rival resistance measures and improved risk grouping in practice. The authors propose it as a cheap flag for patients who need closer kidney watching.
Catalog record
| CREATOR | Jinsheng Mai, Yiting Wu, Yiwei Zhang, Yanjun Zhang, Sisi Yang, Xianhui Qin, Yuanyuan Zhang, Jianping Jiang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 41 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |