Creation and assessment of a long-term mortality forecasting model for survivors of acute coronary syndrome: an analysis of a primarily male, lower-risk group capable of undergoing cardiopulmonary exercise testing

By
Yumei Jiang
Ting Shen
Cheng Shi
Dejie Li
Mengyi Zhan
Guanghe Li
Lei Qian
Qianchun Huang
Liang Zheng
Lin Che
Lemin Wang
Yuqin Shen
December 27, 2025

Bmc Cardiovascular Disorders

Objective:

To develop a long-term mortality prediction model for survivors of acute coronary syndrome (ACS) using comprehensive indicators from cardiopulmonary exercise testing (CPET), highlighting the significance of these indicators in improving risk assessment.

Key Findings:

The study identified a 10-year all-cause mortality rate of 15.4% in the cohort, with CPET indicators providing additional prognostic value beyond traditional cardiovascular risk factors.

Interpretation:

The incorporation of CPET data into the mortality prediction model enhances the understanding of long-term outcomes for ACS patients, potentially guiding clinical interventions and improving patient management.

Limitations:

The study's statistical power was reduced due to a lower than expected mortality rate, and potential biases may arise from the retrospective design.

Conclusion:

The proposed long-term mortality prediction model for ACS patients, utilizing CPET indicators, could significantly inform clinical practice and improve patient outcomes.

Creation and assessment of a long-term mortality forecasting model for survivors of acute coronary syndrome: an analysis of a primarily male, lower-risk group capable of undergoing cardiopulmonary exercise testing

Objective:

Key Findings:

Interpretation:

Limitations:

Conclusion:

Original Source(s)

Creation and assessment of a long-term mortality forecasting model for survivors of acute coronary syndrome: an analysis of a primarily male, lower-risk group capable of undergoing cardiopulmonary exercise testing

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