在出现新发性心房之后,癌症的风险使用了来自英国国家数据库的数据
Hiroyuki Yoshimura1, Nadine Zakkak2,3, Georgios Lyratzopoulos2
1Institute of Health Informatics Research, University College London, 222 Euston Road, London NW1 2DA, UK.
概括
这项研究确定了心房动 (AF) 患者癌症的预测因子,开发模型来预测1年的癌症风险. 这些发现可以帮助管理AF患者并改善癌症风险评估.
科学领域:
- 心脏病学 心脏病学
- 在瘤学瘤学.
- 流行病学 流行病学
背景情况:
- 心房动 (AF) 和癌症是已知关联的普遍疾病.
- 在AF患者中识别癌症风险因素对于早期检测和管理至关重要.
研究的目的:
- 确定AF的男性和女性所有癌症类型的预测因子.
- 开发和验证AF群体1年癌症发病率的预测模型.
主要方法:
- 利用了1998-2016年间诊断的163,549名AF患者的英国初级和二级护理数据.
- 开发了一个后勤回归模型,遵循TRIPOD方法来预测癌症风险.
- 模型推导使用了70%的数据,30%用于验证.
主要成果:
- 年龄,社会经济贫困,吸烟,饮酒,家族病史,慢性病和贫血是显著的危险因素.
- 预测模型显示了中度到良好的歧视 (c-统计范围从0.59到0.78).
- 具体的模型对男性的所有癌症,肺癌,结肠直肠癌和前列腺癌表现良好.
结论:
- 在AF患者中发现的癌症风险因素往往与心血管疾病风险因素重叠.
- 开发的1年癌症预测模型显示了改善AF患者管理的前景.
- 这些模型可能会提高早期癌症检测和心房动患者的风险分层.
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