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在结直肠癌患者中探索术前症状网络的动态:一个交叉滞后的面板网络分析
Bin Shang1, Zekun Bian1, Caifeng Luo2
1School of Medicine, Jiangsu University, No. 301 Xuefu Road, Jingkou District, Zhenjiang City, Jiangsu Province, China.
概括
在结直肠癌患者中,管理睡眠障碍和焦虑是关键. 早期干预可以打破症状周期,并在康复期间改善患者的结果.
科学领域:
- 在瘤学瘤学.
- 心理学 心理学 心理学
- 生物统计学 生物统计学
背景情况:
- 结肠直肠癌 (CRC) 发病率正在增加,突出显示需要有效的症状管理.
- 通过传统的横截面数据,很难确定症状之间的因果关系.
- 交叉滞后面板网络 (CLPN) 分析利用纵向数据来发现症状动态.
研究的目的:
- 使用CLPN分析,在结直肠癌患者中构建和分析外科手术期间的症状网络.
- 识别症状集群中的预测关系和潜在干预点.
- 了解症状在整个外科手术期间对彼此的时间影响.
主要方法:
- 在三个术后时间点 (T1:入院,T2:术后,T3:出院) 收集的纵向数据.
- 使用MD Anderson症状目录胃肠癌模块 (MDASI-GI) 进行症状评估.
- 在R中进行的CLPN分析,以建模症状网络并确定有影响力的关系.
主要成果:
- 在T1的睡眠障碍预测了T2的多种症状,包括膨胀,疲劳,痛苦和疼痛.
- 患难在整个外科手术前期表现出一致的影响.
- 生物化学标志物 (红血细胞,ALB) 在不同时间点影响了症状集群.
结论:
- 针对早期睡眠障碍 (T1) 和整个外科手术前期的痛苦的干预措施至关重要.
- 积极的症状管理可以破坏症状的进展,改善患者的康复.
- 解决症状负担可以提高CRC患者医疗干预措施的整体影响.
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