Low estimated glucose disposal rate (eGDR) predicts decreased all-cause mortality in critically ill patients with cardiorenal syndrome (CRS): analysis of the MIMIC-IV database
Yujing Zhou, Xin Su, Yunsheng Chen, Yunhui Yuan, Haiqiang Sang · 2025
Read Low estimated glucose disposal rate (eGDR) predicts decreased all-cause mortality in critically ill patients with cardiorenal syndrome (CRS): analysis of the MIMIC-IV database by Yujing Zhou, Xin Su, Yunsheng Chen, Yunhui Yuan, Haiqiang Sang (2025) 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-12800240.txt.
Description
Yujing Zhou, Xin Su, Yunsheng Chen, Yunhui Yuan, and Haiqiang Sang mine a large care database for a surprise pattern in patients with both heart and kidney failure. The marker in question, eGDR, estimates how well the body uses glucose; low values mark insulin resistance. Past work in general groups tied low values to worse health. Their 2025 study covered 2,398 intensive care patients with cardiorenal syndrome.
Against the team's own guess, low eGDR tracked with lower death rates at thirty days and out to a year. The link sat mainly in patients not on kidney replacement therapy. A ranking method backed the marker's weight. The authors float the bold idea that insulin resistance might aid survival here.
Catalog record
| CREATOR | Yujing Zhou, Xin Su, Yunsheng Chen, Yunhui Yuan, Haiqiang Sang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |