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Internal and emergency medicine · 2025

Association between post-arrest 12-lead electrocardiographic features and neurologically intact survival for patients of in-hospital cardiac arrest.

СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Wang Chih-Hung, Wu Cheng-Yi, Tay Joyce, Wu Meng-Che, Ho Li-Ting, Lin Wei-Han, Lin Jr-Jiun, Yeh Huang-Fu, Tsai Chu-Lin, Huang Chien-Hua, Chen Wen-Jone

Аннотация

Twelve-lead electrocardiogram (ECG) may provide prognostic information for in-hospital cardiac arrest (IHCA). This study aimed to identify post-arrest ECG features and their temporal changes associated with IHCA outcomes. This single-center retrospective study included patients experiencing IHCA between 2005 and 2022. Post-arrest ECGs were obtained within 48 h after an IHCA, admission ECGs upon hospital admission, and pre-arrest ECGs within 72 h before an IHCA. Multivariable logistic regression analyses were conducted to identify ECG features associated with neurologically intact survival. A total of 708 patients were included, with 131 (18.5%) achieving neurologically intact survival. The median age was 70.4 years (interquartile range: 59.2-82.6), and 362 (62.7%) patients were male. Four post-arrest ECG features were associated with survival: sinus rhythm (odds ratio [OR]: 1.81, 95% confidence interval [CI]: 1.11-2.93), QRS duration between 80 and 120 ms (OR: 1.91, 95% CI 1.19-3.08), low QRS voltage (OR: 0.50, 95% CI 0.25-0.99), and prolonged QTc (OR: 1.89, 95% CI 1.08-3.28). Comparing with admission ECGs, new-onset right bundle branch block (OR: 0.39, 95% CI 0.16-0.95) and increases in the number of leads with ST depression (OR: 0.85, 95% CI 0.77-0.94) on post-arrest ECGs were inversely associated with survival. Compared with pre-arrest ECGs, increases in the number of leads with ST depression (OR: 0.91, 95% CI 0.88-0.96) on post-arrest ECGs were also inversely associated with survival. Post-arrest ECGs may serve as a valuable prognostic tool for IHCA. Further exploration is warranted to determine whether incorporating these ECG features can enhance the performance of prediction models for IHCA outcomes.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты