亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Artificial Intelligence–Enabled Electrocardiogram for Atrial Fibrillation Identifies Cognitive Decline Risk and Cerebral Infarcts

医学 心脏病学 窦性心律 心房颤动 内科学 逻辑回归 磁共振成像 认知 人口 认知功能衰退 痴呆 放射科 精神科 疾病 环境卫生
作者
Erika L. Weil,Peter A. Noseworthy,Camden Lopez,Alejandro A. Rabinstein,Paul A. Friedman,Zachi I. Attia,Xiaoxi Yao,Konstantinos C. Siontis,Walter K. Kremers,Georgios Christopoulos,Michelle M. Mielke,Prashanthi Vemuri,Clifford R. Jack,Bernard J. Gersh,Mary M. Machulda,David S. Knopman,Ronald C. Petersen,Jonathan Graff‐Radford
出处
期刊:Mayo Clinic Proceedings [Elsevier BV]
卷期号:97 (5): 871-880 被引量:8
标识
DOI:10.1016/j.mayocp.2022.01.026
摘要

Objective To investigate whether artificial intelligence–enabled electrocardiogram (AI-ECG) assessment of atrial fibrillation (AF) risk predicts cognitive decline and cerebral infarcts. Patients and Methods This population-based study included sinus-rhythm ECG participants seen from November 29, 2004 through July 13, 2020, and a subset with brain magnetic resonance imaging (MRI) (October 10, 2011, through November 2, 2017). The AI-ECG score of AF risk calculated for participants was 0-1. To determine the AI-ECG-AF relationship with baseline cognitive dysfunction, we compared linear mixed-effects models with global and domain-specific cognitive z-scores from longitudinal neuropsychological assessments. The AI-ECG-AF score was logit transformed and modeled with cubic splines. For the brain-MRI subset, logistic regression evaluated correlation of the AI-ECG-AF score and the high-threshold, dichotomized AI-ECG-AF score with infarcts. Results Participants (N=3729; median age, 74.1 years) underwent cognitive analysis. Adjusting for age, sex, education, and APOE ɛ4-carrier status, the AI-ECG-AF score correlated with lower baseline and faster decline in global-cognitive z-scores (P=.009 and P=.01, respectively, non–linear-based spline-models tests) and attention z-scores (P<.001 and P=.01, respectively). Sinus-rhythm-ECG participants (n=1373) underwent MRI. As a continuous measure, the AI-ECG-AF score correlated with infarcts but not after age and sex adjustment (P=.52). For dichotomized analysis, an AI-ECG-AF score greater than 0.5 correlated with infarcts (OR, 4.61; 95% CI, 2.45-8.55; P<.001); even after age and sex adjustment (OR, 2.09; 95% CI, 1.06-4.07; P=.03). Conclusion The AI-ECG-AF score correlated with worse baseline cognition and gradual global cognition and attention decline. High AF probability by AI-ECG-AF score correlated with MRI cerebral infarcts. However, most infarcts observed in our cohort were subcortical, suggesting that AI-ECG not only predicts AF but also detects other non-AF cardiac disease markers and correlates with small vessel cerebrovascular disease and cognitive decline.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
rpe完成签到,获得积分10
7秒前
科研通AI5应助垚祎采纳,获得30
21秒前
36秒前
垚祎发布了新的文献求助30
46秒前
科研通AI2S应助科研通管家采纳,获得20
53秒前
NexusExplorer应助余书文采纳,获得10
1分钟前
lixuebin完成签到 ,获得积分10
1分钟前
李健的小迷弟应助垚祎采纳,获得10
1分钟前
1分钟前
余书文完成签到,获得积分20
1分钟前
1分钟前
余书文发布了新的文献求助10
1分钟前
1分钟前
垚祎发布了新的文献求助10
1分钟前
woxinyouyou完成签到,获得积分0
2分钟前
JamesPei应助垚祎采纳,获得10
2分钟前
2分钟前
垚祎发布了新的文献求助10
2分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
CipherSage应助科研通管家采纳,获得10
2分钟前
乐乐应助垚祎采纳,获得10
3分钟前
3分钟前
垚祎发布了新的文献求助10
3分钟前
小海完成签到,获得积分10
4分钟前
alexlpb完成签到,获得积分0
4分钟前
赘婿应助垚祎采纳,获得10
4分钟前
4分钟前
垚祎发布了新的文献求助10
4分钟前
4分钟前
李健应助垚祎采纳,获得10
5分钟前
5分钟前
垚祎发布了新的文献求助10
5分钟前
xyzpp发布了新的文献求助100
5分钟前
Owen应助垚祎采纳,获得10
6分钟前
6分钟前
垚祎发布了新的文献求助10
6分钟前
20240901完成签到,获得积分10
6分钟前
酷波er应助科研通管家采纳,获得10
6分钟前
香蕉觅云应助垚祎采纳,获得10
6分钟前
7分钟前
高分求助中
中华人民共和国出版史料 4 1000
Applied Survey Data Analysis (第三版, 2025) 800
Narcissistic Personality Disorder 700
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
Handbook of Experimental Social Psychology 500
The Martian climate revisited: atmosphere and environment of a desert planet 500
建国初期十七年翻译活动的实证研究. 建国初期十七年翻译活动的实证研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3845540
求助须知:如何正确求助?哪些是违规求助? 3387824
关于积分的说明 10550641
捐赠科研通 3108452
什么是DOI,文献DOI怎么找? 1712776
邀请新用户注册赠送积分活动 824505
科研通“疑难数据库(出版商)”最低求助积分说明 774877