Predicting Heart Risks in Older Women with Coronary Artery Disease
Author Information
Author(s): Yang Pengli, Xue Rui, Wei Yuhang, Cao Chenxi, Yu Songcheng, Peng Shanling, Zhang Wenjing, Wang Yunzhe, Zheng Yingying, Liu Gangqiong
Primary Institution: First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
Hypothesis
The study aims to explore the predictive value of the Systemic Inflammatory Response Index (SIRI) for the prognosis of older postmenopausal women with coronary artery disease (CAD).
Conclusion
The study shows that the SIRI can effectively predict the risk of multiple adverse outcomes in postmenopausal women with CAD.
Supporting Evidence
- The high SIRI group had a 1.581-fold greater risk of all-cause mortality compared to the low SIRI group.
- The high SIRI group had a 1.798-fold greater risk of cardiac mortality compared to the low SIRI group.
- The risks of major adverse cardiovascular events were 62.3% higher in the high SIRI group.
- The risks of major adverse cardiovascular and cerebrovascular events were 55.8% higher in the high SIRI group.
- Kaplan–Meier survival analyses confirmed that high SIRI levels were associated with increased risks of adverse outcomes.
Takeaway
This study found that a specific blood test called SIRI can help doctors predict if older women with heart disease are at risk of serious problems.
Methodology
This was a retrospective cohort study involving 617 postmenopausal women diagnosed with CAD, analyzing their SIRI levels and related health outcomes.
Potential Biases
There may be selection bias and information bias due to the retrospective nature of the study.
Limitations
The study is limited by its single-center design and potential biases inherent in retrospective studies.
Participant Demographics
Participants were postmenopausal women aged 50 years or older with a confirmed diagnosis of CAD.
Statistical Information
P-Value
p=0.040 for ACM, p=0.057 for CM, p=0.01 for MACEs, p=0.012 for MACCEs
Confidence Interval
95% CI: 1.045–6.373 for ACM, 95% CI: 0.972–8.060 for CM, 95% CI: 1.123–2.346 for MACEs, 95% CI: 1.100–2.207 for MACCEs
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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