Why the study?
A feasible method was needed for early screening and diagnosis of coronary heart disease in middle-aged and elderly people.
Does a clinical prediction model incorporating age, HbA1c, ABI, and FMD accurately detect coronary heart disease in middle-aged and elderly patients?
Population
839 eligible patients with suspected CHD
Comparison
588 patients in derivation set vs 251 in validation set
Design
Single-center retrospective case-control study
Key result
A clinical prediction model incorporating age, HbA1c, ankle-brachial index, and flow-mediated vasodilatation demonstrated good predictive power for detecting coronary heart disease with an AUC of 0.783.
Authors
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Does not support routine CHD screening; leaves open external validation before clinical use.
Case-Control (n=839)
No
Does a clinical prediction model incorporating age, HbA1c, ABI, and FMD accurately detect coronary heart disease in middle-aged and elderly patients?
Tao et al. (2023) conducted a case-control in Coronary heart disease (n=839). Clinical prediction model (age, HbA1c, ABI, FMD) vs. Non-CHD patients was evaluated on Area under the receiver operating characteristic curve (AUC) in the validation set. A clinical prediction model incorporating age, HbA1c, ankle-brachial index, and flow-mediated vasodilatation demonstrated good predictive power for detecting coronary heart disease with an AUC of 0.783.