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Clinical data versus noninvasive testing as an estimate of coronary status
Insights
Coronary status, based on ejection fraction and diseased vessels, can be reliably estimated from clinical data alone. This approach shows feasibility for deciding on angiography, potentially streamlining patient care.
Area of Science:
- Cardiology
- Medical Decision Making
Background:
- Coronary angiography and subsequent surgery decisions rely on ejection fraction (EF) and number of diseased vessels (NV), collectively termed coronary status (CS).
- Accurate estimation of CS is crucial for effective treatment planning in cardiovascular disease.
Purpose of the Study:
- To evaluate the accuracy of estimating EF, NV, and CS from clinical data.
- To assess the impact of adding noninvasive data to the estimation model.
- To validate the model in a larger patient cohort.
- To determine if CS can be accurately estimated from clinical data alone to guide angiography decisions.
Main Methods:
- A quantitative definition of coronary status (CS) was established using EF and NV.
- Initial model development and validation using clinical data from 60 patients.
- Inclusion of noninvasive data to assess improvements in estimation accuracy.
- Application and re-evaluation of the clinical data model on a larger cohort of 169 patients.
- Development and testing of a decision-making model for angiography based solely on clinical data-derived CS.
Main Results:
- Clinical data alone provided strong initial correlations for EF (87%), NV (93%), and CS (93%).
- Adding noninvasive data further improved correlations to EF (95%), NV (99%), and CS (98%).
- Application to a larger cohort showed decreased, yet significant, correlations: EF (77%), NV (71%), and CS (74%).
- CS estimation from clinical data alone achieved 98% sensitivity and 63% specificity for angiography decisions in the larger cohort.
Conclusions:
- Clinical data alone can provide a reasonably accurate estimation of coronary status.
- While noninvasive data enhance accuracy, clinical data-derived CS is a feasible tool for guiding angiography decisions.
- This approach demonstrates potential for streamlining the diagnostic pathway for patients with coronary artery disease.
Abstract:
The step from coronary angiography to surgery is taken primarily on the basis of the ejection fraction (EF) and number of diseased vessels (NV), taken jointly as coronary status (CS). This study reviewed (1) how well EF, NV and CS are estimated from clinical data, (2) how much improvement is gained by adding noninvasive data, (3) how good this model is when applied to a larger cohort and (4) whether the decision to angiography can be made on the basis of CS estimated from clinical data alone. A quantitative definition of CS was established as a principal component of EF and NV. Estimates of EF, NV and CS were made from clinical data of 60 patients. Correlations with the actual values were EF 87%, NV 93% and CS 93%. When noninvasive data were added to this model, the correlations increased to EF 95%, NV 99% and CS 98%. When the clinical data model was applied to 169 patients, the correlations decreased to EF 77%, NV 71% and CS 74%. CS estimated from clinical data alone was set up as a test for angiography for 169 patients. This test had a sensitivity of 98% and a specificity of 63%, demonstrating the feasibility of using clinical data alone in deciding angiography.