Details

Autor(en) / Beteiligte

• Su, Ho-Ming
• Lee, Wen-Hsien
• Tsai, Wei-Chung
• Chen, Ying-Chih
• Chi, Nai-Yu
• Chang, Ching-Tang
• Chu, Chun-Yuan
• Lin, Tsung-Hsien
• Lai, Wen-Ter
• Sheu, Sheng-Hsiung
• Hsu, Po-Chao
• Fukumoto, Yoshihiro

Titel

Usefulness of the ratio of brachial pre-ejection period to brachial ejection time in prediction of cardiovascular and overall mortality in patients with acute myocardial infarction

Ist Teil von

• PloS one, 2021-01, Vol.16 (1), p.e0245860-e0245860

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2021

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Left ventricular systolic function is a good indicator of cardiac function and a powerful predictor of adverse cardiovascular (CV) outcomes. High ratio of pre-ejection period (PEP) to ejection time (ET) is associated with reduced left ventricular systolic function. Brachial PEP (bPEP) and brachial ET (bET) can be automatically calculated from an ankle-brachial index (ABI)-form device and bPEP/bET was recently reported to be a new and useful parameter of cardiac performance. However, there were no studies evaluating the utility of bPEP/bET for prediction of CV and overall mortality in patients with acute myocardial infarction (AMI). We included 139 cases of AMI admitted to our cardiac care unit consecutively. ABI, bPEP, and bET were obtained from the ABI-form device within the 24 hours of admission. There were 87 overall and 22 CV mortality and the median follow-up to mortality event was 98 months. After multivariable analysis, high bPEP/bET was not only associated with increased long-term CV mortality (hazard ratio (HR) = 1.046; 95% confidence interval (CI): 1.005-1.088; P = 0.029), but also associated with long-term overall mortality (HR = 1.023; 95% CI: 1.001-1.045; P = 0.042). In addition, age was also a significant predictor for CV and overall mortality after the multivariable analysis. In conclusion, bPEP/bET was shown to be a significant predictor for CV and overall mortality in AMI patients after multivariable analysis. Therefore, by means of this novel parameter, we could easily find out the high-risk AMI patients with increased CV and overall mortality.