This study is a prospective multi-center observational cohort involving elderly patients (≥70 years old) with multi-vessel coronary disease identified by coronary computed tomography angiography (cCTA) and scheduled for invasive coronary angiography. Data collection about cCTA, frailty and biomarkers and two-year follow-up will be conducted to develop and validate a risk model of coronary revascularization.
Study Type
OBSERVATIONAL
Enrollment
800
No intervention will be conducted.
Area Under the Receiver Operating Characteristic Curve (AUC) for Risk Model Performance
AUC evaluates the model's discrimination performance in predicting MACCEs at 24 months.
Time frame: At completion of 2-year follow-up
Sensitivity of the Prediction Model
The proportion of participants who actually experienced MACCEs (Major Adverse Cardiac and Cerebral Events) that were correctly identified by the prediction model as high risk.
Time frame: At completion of 2-year follow-up
Specificity of the Prediction Model
The proportion of participants who did not experience MACCEs that were correctly identified by the prediction model as low risk.
Time frame: At completion of 2-year follow-up
Positive Predictive Value (PPV)
The probability that subjects identified by the model as high risk truly experienced the adverse events (MACCEs).
Time frame: At completion of 2-year follow-up
Negative Predictive Value (NPV)
The probability that subjects identified by the model as low risk truly did not experience the adverse events.
Time frame: At completion of 2-year follow-up
Hosmer-Lemeshow Goodness-of-Fit Statistic
A statistical test to assess the calibration of the model. It evaluates whether the observed event rates match the expected event rates in subgroups of the model population. A non-significant p-value indicates good fit.
Time frame: At completion of 2-year follow-up
Calibration Slope
Assessment of the agreement between observed outcomes and predicted risks. A slope (beta) of 1 indicates ideal calibration.
Time frame: At completion of 2-year follow-up
Decision Curve Analysis (DCA)
Evaluation of clinical net benefit across a range of threshold probabilities.
Time frame: At completion of 2-year follow-up
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.