講師資料
Talks：
Prognostic Significance and Severity Stratification Potential of Circadian Rhythm in Myocardial Infarction
以生理時鐘節律預測心肌梗塞患者之預後與嚴重度分級
Name：
金韋志（Wei-Chih Chin）
Position：
主治醫師
Affiliation：
Division of Psychiatry and Sleep Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Email：
Photo：
Research Interests：
Sleep Medicine, Psychiatry
Selected Publications：
1. Chin WC†, Huang SY†, Liu FY., Wang CH, Tang I, Hsiao IT, Huang YS*. The Application of Machine Learning on Brain Imaging Features of Different Narcolepsy Subtypes. Sleep. 2024; 47(2):zsad328. (SCI；IF=4.9；Clinical Neurology 33/285)
2. Chin WC, Huang YS*, Lam NYT, Mak KY, Tang I, Wang CH, Lin C. Effects of Modafinil on Nocturnal Sleep Patterns in Patients with Narcolepsy: A Cohort Study. Sleep Medicine. 2024;119:95-112. (SCI；IF=3.4；Clinical Neurology 78/285)
3. Chin WC†, Chu PH†, Wu LS, Lee KT, Lin C, Ho CT, Yang WS, Chung IH, Huang YS*. The Prognostic Significance of Sleep and Circadian Rhythms on Myocardial Infarction Outcomes: A case-control study. Journal of Medical Internet Research, 2025;27:e63897. (SCI；IF=6.0；Health Care Sciences & Services 12/185)
4. Huang YS., Chin WC*, Chung IH, Roan TY, Chang CJ, Juang HT, Chang SC, Ghosh S, Crawford S, Lin HL. The prevalence, incidence and burden of narcolepsy and idiopathic hypersomnia in Taiwan: comparison between the National Health Insurance Research Claims Database and a hospital cohort database. Sleep. 2025; zsaf132. (SCI；IF=4.9；Clinical Neurology 33/285)
Abstract：
Introduction:
Circadian rhythm and myocardial infarction (MI) are closely connected, and monitoring with wearable devices can offer valuable opportunities for deeper insight. We explored the prognostic significance of circadian rhythm and its variations among patients with different Killip classes using actigraphy.
Methods:
Patients with acute myocardial infarction (Killip class I–III) were recruited and received continuous actigraphy monitoring during hospitalization. After discharge, they were followed for assessing prognosis. Actigraphy data were analyzed by both parametric and non-parametric methods to evaluate sleep patterns and circadian rhythms. The Mann-Whitney U test was used for group comparisons between different MI severity, and Spearman correlation was conducted to investigate correlations between actigraphy variables, the Killip classification, and prognosis.
Results:
We recruited 34 MI patients with MI, comprising 23 in Killip class I (67.6%), 7 in Killip class II (20.6%), and 4 in Killip class III (11.8%). Circadian rhythm parameters were significantly correlated with MI prognosis. Besides, Those with more severe MI (Killip II and III) had significantly lower daytime activity standard deviation (142.12±33.78 vs. 105.26±40.90, p=0.017), interdaily stability (0.35±0.12 vs. 0.24±0.11, p=0.032), and relative amplitude (0.73±0.11 vs. 0.6±0.12, p=0.025) compared to the Killip I group. Significant negative correlations were also found between Killip classes and these three non-parametric factors.
Conclusion:
Actigraphy monitoring can contribute to the evaluation of MI prognosis, and more severe MI can be linked to more circadian disruption. Non-parametric analysis of actigraphy data may serve as a complementary approach for evaluating and monitoring physical status, contributing to improve MI outcome.
2025年會：