Identification and Optimization of Risk for Stroke With Abdominal Obesity Patients: Insights From NHANES 2005–2018
Lei Zhou, Mengyang He, Feng Xiao, Qixing Liu, Xuezhen Li, Binghua He, Xiangang Tan · 2026
Read Identification and Optimization of Risk for Stroke With Abdominal Obesity Patients: Insights From NHANES 2005–2018 by Lei Zhou, Mengyang He, Feng Xiao, Qixing Liu, Xuezhen Li, Binghua He, Xiangang Tan (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/PMC13273839.txt.
Description
Zhou and colleagues study stroke risk in adults with abdominal obesity, using United States survey data. Their 2026 journal article draws on the NHANES surveys from 2005 to 2018. The sample included 8,764 people.
The team compared several prediction models. A random forest model performed best. Its accuracy score, called AUC, was 0.823 for predicting stroke. For predicting death after stroke, the AUC was 0.741. Age was the strongest single predictor. The authors also flag newer marker combinations. They include TyG-BMI and the CDAI index, plus total cholesterol. Such markers may sharpen risk checks in clinic. The authors suggest targeting prevention by predicted risk.
Catalog record
| CREATOR | Lei Zhou, Mengyang He, Feng Xiao, Qixing Liu, Xuezhen Li, Binghua He, Xiangang Tan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31823 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |