A multicenter prospective study on the ESC algorithm for the early diagnosis of non-ST-elevation myocardial infarction

This study aimed to determine the optimal high-sensitivity cardiac troponin I (hs-cTnI)-based algorithm for early diagnosis of non-ST-elevation myocardial infarction (NSTEMI) in Chinese patients. We prospectively enrolled 1,606 patients with suspected NSTEMI from three emergency departments across China, collecting blood samples at 0, 1, and 3 h post-admission. Patients were classified using the 0/1-h and 0/3-h algorithms. The 2015 and 2020 ESC 0/1-h algorithms rapidly triaged 70% of patients with high negative predictive value (NPV) (99.7%) and sensitivity (99.5%). The 0/3-h algorithm showed higher specificity (93.8%) but lower NPV (96.8%) and sensitivity (91.2%). An optimized 0/1-h algorithm improved specificity to 92.1% while maintaining high NPV (99.7%) and sensitivity (99.2%). Low 30-day and 180-day all-cause mortality and major adverse cardiac event (MACE) rates were observed in rule-out groups for all algorithms. The ESC 0/1-h algorithm is a safe and efficient triage method for patients with suspected NSTEMI, with optimization further enhancing specificity and efficiency for the Chinese population.

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Publication Details

Journal
iScience
Published
2024-08-05
DOI
https://doi.org/10.1016/j.isci.2024.110643
Citations
2
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
0.81

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article

A multicenter prospective study on the ESC algorithm for the early diagnosis of non-ST-elevation myocardial infarction

Zebin Gong, C Liu, Qing Yang, Shukui Wang et al.
2 citations
iScience
Cardiac Imaging and Diagnostics
0.81
article

A multicenter prospective study on the ESC algorithm for the early diagnosis of non-ST-elevation myocardial infarction

Zebin Gong, C Liu, Qing Yang, Shukui Wang, Guangxun Feng, Min Liu, Ya-Hui Lin, Dongfang Gao, Zi Ye, Zhou Zhou, Wenke Li, Hong Zhan, Guozheng Zhang, Yan Liang, Jun Zhu, Yanmin Yang, Dong Wang
article en
2 citations

Abstract

This study aimed to determine the optimal high-sensitivity cardiac troponin I (hs-cTnI)-based algorithm for early diagnosis of non-ST-elevation myocardial infarction (NSTEMI) in Chinese patients. We prospectively enrolled 1,606 patients with suspected NSTEMI from three emergency departments across China, collecting blood samples at 0, 1, and 3 h post-admission. Patients were classified using the 0/1-h and 0/3-h algorithms. The 2015 and 2020 ESC 0/1-h algorithms rapidly triaged 70% of patients with high negative predictive value (NPV) (99.7%) and sensitivity (99.5%). The 0/3-h algorithm showed higher specificity (93.8%) but lower NPV (96.8%) and sensitivity (91.2%). An optimized 0/1-h algorithm improved specificity to 92.1% while maintaining high NPV (99.7%) and sensitivity (99.2%). Low 30-day and 180-day all-cause mortality and major adverse cardiac event (MACE) rates were observed in rule-out groups for all algorithms. The ESC 0/1-h algorithm is a safe and efficient triage method for patients with suspected NSTEMI, with optimization further enhancing specificity and efficiency for the Chinese population.

iScienceVol. 27(9)
Sun Yat-sen University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Fu Wai Hospital (CN), Nanjing Medical University (CN)
Abbott Laboratories, National Key Scientific Instrument and Equipment Development Projects of China, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 27%
Cardiac Imaging and Diagnostics
0.81
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