通过国家和机构的健康数据检测门诊急性病
Hsiu-Yin Chiang1,2, Hung-Chieh Yeh3,4, Zi-Han Lin1
1Big Data Center, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Communications medicine
|May 9, 2025
概括
一个新的系统,AKIDS,确定了一种以前未被识别的疾病,即门诊急性病 (AKD-OPT). 患有AKD-OPT的患者面临明显更高的结局和死亡风险.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 在医疗保健中的数据科学.
- 公共卫生 公共卫生
背景情况:
- 由于共识差距和数据孤岛,门诊急性病 (AKD-OPT) 的诊断定义缺乏.
- 这阻碍了AKD-OPT在医疗保健系统中的有效识别和管理.
研究的目的:
- 开发和验证急性损伤检测系统 (AKIDS),用于查未被诊断的AKD-OPT.
- 描述与AKD-OPT相关的临床结果.
主要方法:
- 开发了AKIDS以使用国家保险和电子医疗记录数据选AKD-OPT.
- 通过血清肌素或预计的淋巴细胞过率变化在访问前180天内定义AKD-OPT.
- 利用多变量Cox比例危险模型来评估与复合结局 (CKO),死亡率和新发慢性病 (CKD-ND) 的关联.
主要成果:
- AKIDS对79,838名患者进行了查,发现15.7%的患者患有AKD-OPT.
- 患有AKD-OPT的患者表现出显著增加的一年风险:CKO (79.0/1000),死亡率 (25.3/1000) 和CKD-ND (54.8/1000).
- 在AKD-OPT患者中,调整后的危险比率表明CKO风险增加了16.2倍,死亡率增加了2.6倍,CKD-ND风险增加了3.5倍.
结论:
- AKIDS成功地发现了一种以前未被识别的表型,AKD-OPT.
- 通过AKIDS整合国家和地方数据,突出了医疗保健大数据在了解和预防AKD方面的潜力.
- 这种方法可以改变管理急性病模式的全球战略.
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