访问访问血压变化和心血管结果之间的关联:元分析
Mifetika Lukitasari1, Jitendra Jonnagaddala2, Siaw-Teng Liaw3
1PhD student, School of Population Health, UNSW Sydney, NSW 2052 Australia.
Studies in health technology and informatics
|July 25, 2024
概括
访问到访问的血压变化 (BPV) 显著影响心血管疾病风险. 这一元分析证实,电子健康记录 (EHR) 可靠地捕获BPV,与传统数据相比,用于预测结果.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
背景情况:
- 访问到访问的血压变化 (BPV) 是心血管疾病 (CVD) 的已知危险因素.
- 临床医生经常低估BPV,将其视为随机波动,而不是显著的预测因素.
- 电子健康记录 (EHR) 对评估BPV的可靠性需要进一步验证.
研究的目的:
- 使用来自EHR和非EHR来源的数据,比较VVVBPV对心血管结果的影响大小.
- 确定EHR数据是否提供了对BPV对心血管疾病风险影响的可比评估.
- 突出EHR数据在管理BPV中的临床实用性.
主要方法:
- 进行了一项元分析,将使用EHR数据的研究与使用非EHR数据的研究进行比较.
- 对VVVBPV和心血管结局的危险比率 (HR) 被汇总起来,并在两个数据源之间进行比较.
- 缩和腹缩BPV被单独分析.
主要成果:
- 在EHR研究中,VVV系统性BPV的综合危险比为1.22 (95%CI:1.07-1.38) 在非EHR研究中为1.16 (95%CI:1.10-1.22).
- 对于VVV扩张性BPV,在EHR研究中,综合HR为1.09 (95%CI:0.86-1.39) 在非EHR研究中为1.10 (95%CI:1.04-1.17).
- 在两种数据源中,效应大小是可比的,表明具有相似的预测能力.
结论:
- 电子健康记录 (EHR) 是评估访问到访问血压变化 (BPV) 的可靠来源.
- 从EHR衍生的BPV有效地预测心血管结果,类似于传统数据.
- 整合EHR数据分析可以改善临床识别和管理与BPV相关的CVD风险.
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