Symptom clusters and symptom networks of symptom experiences in patients with SARS-CoV-2 infection
Hongmin Ye, Xiuni Gan, Wen Zhou, Yan Gao, Zhechuan Mei, Qiulan Zheng, Xiaoqing Luo, Chunlan Yuan, Yan Wu · 2024
Read Symptom clusters and symptom networks of symptom experiences in patients with SARS-CoV-2 infection by Hongmin Ye, Xiuni Gan, Wen Zhou, Yan Gao, Zhechuan Mei, Qiulan Zheng, Xiaoqing Luo, Chunlan Yuan, Yan Wu (2024) 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-11625128.txt.
Description
Hongmin Ye and eight colleagues map symptom clusters in COVID-era coronavirus infections, in a study from twenty twenty-four. Clusters and networks could sharpen symptom management. Four hundred eighteen patients at a Chongqing hospital answered a forty-symptom questionnaire. Statistical factoring grouped their experiences.
Eight clusters emerged: nasopharyngeal, circulatory, neural, physical, digestive, respiratory, fever, and sensory. Network analysis ranked which symptoms sit most centrally. Chest tightness topped all three centrality measures. Regression then probed which patient factors drive each cluster's severity. The approach turns a long symptom list into manageable groups. It also flags the symptoms whose relief may ease many others. Such maps could guide targeted care for infected patients.
Catalog record
| CREATOR | Hongmin Ye, Xiuni Gan, Wen Zhou, Yan Gao, Zhechuan Mei, Qiulan Zheng, Xiaoqing Luo, Chunlan Yuan, Yan Wu |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |