Predicting sarcopenia risk in stroke patients: a comprehensive nomogram incorporating demographic, anthropometric, and biochemical indicators
Yufan Pu, Ying Wang, Huihuang Wang, Hong Liu, Xingxing Dou, Jiang Xu, Xuejing Li · 2024
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Description
Yufan Pu and co-authors built a chart based tool to predict muscle loss risk in stroke patients, in work published in 2024. Stroke and muscle loss are closely linked, but early risk signs were unclear. Data came from a national United States survey over eight years, split into training and test groups.
Eight factors entered the final tool, including sex, body size, waist size, and several blood measures. Women with stroke faced higher risk in their data. The tool separated high and low risk patients with very high accuracy in training and high accuracy in testing. Charts of its predictions matched real outcomes well. The authors offer it as a cheap screen to flag patients early for prevention.
Catalog record
| CREATOR | Yufan Pu, Ying Wang, Huihuang Wang, Hong Liu, Xingxing Dou, Jiang Xu, Xuejing Li |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 28 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |