Abstract P027: Individualized Protein Based Cardiovascular Risk Stratification: Impact On Patient And Physician Decision Making In Patients With Real World Cardiovascular Disease
Bibliographic record
Abstract
There is a growing population of patients with established cardiovascular disease and residual cardiovascular risk. Identification of patients who would benefit most from more advanced risk reduction strategies would be ideal. Hypothesis: Identification of secondary risk of MACE may change both physician recommendations and patient choices regarding goal directed therapy (GDT). Methods: Retrospective review of 244 patients with established CAD with traditional assessment of secondary cardiovascular risk and SomaScan proteomic risk assessment followed over 3 years. Patients were evaluated for GDT and standard measurements were made at baseline. SomaScan protein risk score was obtained. Patients received advice regarding risk and offered GDT with established secondary prevention goals. Willingness to change, physician recommendations to change therapy and therapy changes were recorded. Patients were followed over three years. Results: 244 patients were included in the cohort; 186 males (76%), 58 females (24%). Mean age of 66, range 32-84. Diagnosis of coronary artery disease was made based on imaging in 121 patients (49%) and clinical events including CABG, MI, PCI in 123 patients (51%). Secondary cardiovascular risk of MACE by SomaScan was assessed in 5 predefined risk classes. There were 70 patients in class I (0-9.9%), 116 patients in Class II (10-19.9%), 41 patients in Class III (20-29.9%), 12 patients in Class IV (30-59%) and I patient in Class V (60-100%). GDT was already present in 143 patients including statin therapy, ACE inhibition and daily aspirin. In the cohort, 101 patients were sub-optimally treated. After reviewing results of SomaScan results, 20 patients initiated GDT, 52 patients intensified GDT. This included addition of second lipid lowering agent, initiation of PCSK-9 inhibitors, ACE-inhibition and intense lifestyle management. Overall, 30% of the overall cohort had a change in therapy: 39 patients were advised to alter therapy and did not, 17 patients would not begin goal directed therapy, 22 patients would not intensify management to meet accepted goals. Two deaths occurred during the study period. There were 14 episodes of MACE. Conclusions: In this population of patients with established cardiovascular disease only 58% were on guideline-based therapy. Use of SomaScan results in conjunction with standard assessment allowed an additional 30% of patients to change therapy with initiation of GDT and intensification of GDT to meet current guidelines.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".