Baseline characteristics of the study population with myocardial infarction (MI) stratified by survival status of MI and 28-day case fatality, Copenhagen General Population Study 2003–2014.

NIAID Data Ecosystem20

Cumulative incidence of the 30-day and one-year mortality in acute myocardial infarction patients according to the transfer status.

急性心肌梗死预后预测

患者转运评估

Cumulative incidence of the 30-day and one-year mortality in acute myocardial infarction patients according to the transfer status.

Figshare2021-08-05 更新20

AMI incidence.

心电图诊断

急性心肌梗死预后预测

At the emergency department, it is important to quickly and accurately identify patients at risk of acute myocardial infarction (AMI). One of the main tools for detecting AMI is the electrocardiogram

NIAID Data Ecosystem20

Characteristics of the study participants.

急性心肌梗死预后预测

血糖变异性与死亡率关联分析

Background To assess the relationship between glycemic variability, glucose fluctuation trajectory and the risk of in-hospital mortality in patients with acute myocardial infarction (AMI). Methods Thi

NIAID Data Ecosystem20

Logistic regression analysis for < = 120 minutes door to balloon time (main cohort).

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