在SARS-CoV-2感染患者的症状体验中的症状集群和症状网络
Hongmin Ye1,2, Xiuni Gan1,2, Wen Zhou1,2
1The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Heliyon
|December 9, 2024
概括
这项研究在患有严重急性呼吸系统综合征冠状病毒2 (SARS-CoV-2) 感染的患者中确定了八种症状集群. 了解这些症状网络及其风险因素可以改善患者的管理和预后.
科学领域:
- 医学研究 医学研究
- 症状学 症状学 症状学
- 网络分析 网络分析
背景情况:
- 症状集群和网络可以改进症状管理.
- 严重急性呼吸系统综合征冠状病毒2 (SARS-CoV-2) 患者的症状网络研究有限.
研究的目的:
- 在SARS-CoV-2患者中识别症状集群.
- 建立一个症状网络并分析中心性指数.
- 调查症状集群发生的风险因素.
主要方法:
- 在2022年2月至2023年6月期间招募了418名SARS-CoV-2患者.
- 使用一个涵盖40种症状的症状问卷.
- 采用主要组件分析,网络分析,单变量分析和多重线性回归.
主要成果:
- 确定了八个症状集群:鼻,循环,神经,身体,消化,呼吸,发烧和感官.
- 胸部紧张,肌肉疼痛和嗅觉异常显示出最高的中心性指数.
- 年龄,性别,收入,教育,高脂血症,慢性支气管炎和瘤是相关的危险因素.
结论:
- 探索症状集群和网络对于有效的SARS-CoV-2症状管理至关重要.
- 评估中心性指数对于患者护理至关重要.
- 早期发现高风险个体可以通过有针对性的干预来优化预后.
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