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Brian A Bergmark1, Deepak L Bhatt1, Eugene Braunwald1
1Thrombolysis in Myocardial Infarction (TIMI) Study Group, Cardiovascular Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Insights
The Thrombolysis in Myocardial Infarction (TIMI) Risk Score for Secondary Prevention (TRS 2°P) effectively predicts cardiovascular events in type 2 diabetes patients. This validated tool offers improved risk assessment for individuals with elevated cardiovascular risk.
Area of Science:
- Cardiology
- Endocrinology
- Clinical Risk Assessment
Background:
- Patients with type 2 diabetes and elevated cardiovascular (CV) risk require improved risk assessment tools.
- The Thrombolysis in Myocardial Infarction (TIMI) Risk Score for Secondary Prevention (TRS 2°P) is established for post-myocardial infarction (MI) risk stratification but unproven in type 2 diabetes.
- The SAVOR-TIMI 53 trial provides a large dataset of patients with type 2 diabetes and high CV risk.
Purpose of the Study:
- To evaluate the effectiveness of the TRS 2°P in predicting cardiovascular events in patients with type 2 diabetes.
- To assess the calibration and risk stratification capabilities of the TRS 2°P in this specific population.
- To determine if the TRS 2°P provides a gradient of risk across various cardiovascular subgroups.
Main Methods:
- Analysis of 16,488 patients from the SAVOR-TIMI 53 trial with type 2 diabetes and high CV risk or established CV disease.
- Comparison of CV event rates stratified by baseline TRS 2°P.
- Calibration testing using the type 2 diabetes cohort from the REACH Registry.
Main Results:
- The TRS 2°P demonstrated a robust risk gradient for the composite of CV death, MI, and ischemic stroke (2-year event rates from 0.9% to 19.8%).
- A clear risk gradient was consistently observed across subgroups including coronary artery disease (CAD), CAD without prior MI, CAD with prior MI, peripheral artery disease, and prior stroke.
- The score showed good calibration within the type 2 diabetes population (goodness-of-fit P = 0.78) and consistent predictive performance (C-statistics 0.71 for CV death, 0.66 for composite endpoint).
Conclusions:
- The expanded TRS 2°P serves as a practical and well-calibrated risk prediction tool for patients with type 2 diabetes.
- This score can aid clinicians in identifying individuals at higher cardiovascular risk within this population.
- The findings support the utility of the TRS 2°P for enhanced cardiovascular risk assessment in type 2 diabetes management.
Objective:
Improved risk assessment for patients with type 2 diabetes and elevated cardiovascular (CV) risk is needed. The Thrombolysis in Myocardial Infarction (TIMI) Risk Score for Secondary Prevention (TRS 2°P) predicts a gradient of risk in patients with prior myocardial infarction (MI) but has not been evaluated in patients with type 2 diabetes.
Research Design And Methods:
CV event rates were compared by baseline TRS 2°P in 16,488 patients enrolled in SAVOR-TIMI 53 (Saxagliptin Assessment of Vascular Outcomes Recorded in Patients with Diabetes Mellitus-Thrombolysis in Myocardial Infarction 53) with type 2 diabetes and high CV risk or established CV disease. Calibration was tested in the diabetes cohort from the REACH (REduction of Atherothrombosis for Continued Health) Registry.
Results:
TRS 2°P revealed a robust risk gradient for the composite of CV death, MI, and ischemic stroke in the full trial population, with 2-year event rates of 0.9% in the lowest- and 19.8% in the highest-risk groups (Ptrend < 0.001). A clear risk gradient was present within the subgroups of all coronary artery disease (CAD), CAD without prior MI, CAD with prior MI, peripheral artery disease, and prior stroke (Ptrend < 0.001 for each), with consistent risk relationships across subgroups. The C-statistic (0.71 for CV death and 0.66 for the composite end point) was consistent in each subgroup. There was close calibration with the type 2 diabetes cohort from the REACH Registry (goodness-of-fit P = 0.78).
Conclusions:
The expanded TRS 2°P provides a practical and well-calibrated risk prediction tool for patients with type 2 diabetes.
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