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Diagnostic accuracy of predicting coronary artery disease related to patients' characteristics
Insights
Cardiologists often overestimate coronary artery disease (CAD) risk, especially with negative exercise tests. Accuracy is lower for female patients, highlighting a need for careful interpretation of test results and patient data.
Area of Science:
- Cardiology
- Diagnostic Accuracy
- Medical Decision Making
Background:
- Physician diagnostic accuracy for coronary artery disease (CAD) can be influenced by patient characteristics.
- Accurate pretest probability estimation is crucial for appropriate diagnostic testing in cardiology.
Purpose of the Study:
- To evaluate the accuracy of cardiologists' pretest probability estimates for coronary artery disease (CAD).
- To determine the influence of patient demographics and clinical factors on diagnostic accuracy.
Main Methods:
- Experienced cardiologists estimated pretest CAD probability in 257 patients undergoing coronary angiography.
- Patient data included age, sex, chest pain characteristics, rest ECG, and exercise ECG results.
- Physician estimates were compared against coronary angiography findings.
Main Results:
- Cardiologists tended to overestimate CAD prevalence, particularly when exercise tests were negative.
- Diagnostic accuracy was higher for positive (0.85) versus negative (0.72) exercise tests.
- Accuracy was greater for male (0.81) than female (0.70) patients; age and chest pain characteristics had no significant impact.
Conclusions:
- Cardiologists must improve interpretation of negative exercise tests and female patient data to avoid overestimating CAD.
- Awareness of these biases can enhance diagnostic precision and patient care in cardiology.
Abstract:
Patients' demographic and clinical characteristics may affect diagnostic accuracy of cardiologists. We asked a group of experienced cardiologists from three institutions to estimate the pretest probability of coronary artery disease in 257 patients referred for diagnostic coronary angiography and with no history of previous myocardial infarction nor valvular heart disease. Physicians pretest estimates were compared with the diagnostic findings of coronary angiography. We tested the influence of five variables on the accuracy of the pretest estimates: age, sex, chest pain characteristics, rest electrocardiogram and electrocardiographic exercise test result. Cardiologists tended to overestimate the presence of coronary artery disease and this tendency was particularly remarkable in the group of patients showing a negative exercise test. Pretest diagnostic accuracy was 0.72 when the test result was negative and 0.85 when the test result was positive (95% confidence interval of the difference 0.03 to 0.23; p < 0.001). The diagnosis of coronary artery disease was also more accurate for male than for female patients (0.81 vs 0.70; 95% confidence interval of the difference 0.02 to 0.21; p < 0.02). Characteristics of chest pain, age and rest electrocardiogram did not affect the level of pretest diagnostic accuracy. Cardiologists should be cognizant of correctly interpreting a negative exercise test and the clinical data of female patients; in both cases, they should move circumspect of the diagnosis of coronary artery disease.