HEART score 0-1 combined with non-ischemic ECG and serial negative hs-troponins reliably predicts <1% 30-day MACE risk, while HEART scores 1-3 show substantial risk overlap and limited statistical separability.
Exponential modeling reveals that HEART scores 1-3 have overlapping confidence intervals and are statistically indistinguishable, suggesting only HEART scores 0-1 reliably identify patients with <1% 30-day MACE risk for early discharge.
Effect estimate: Exponential model MACE (%) = 0.79 × e^(0.44×HEART) (R²≈0.99) (95% CI HEART 0: 0.0-0.3%; HEART 1: 0.0-1.8%; HEART 2: 0.0-3.5%; HEART 3: 0.4-4.8%; HEART 4: 1.8-7.2%; HEART 5: 4.0-12.0%; HEART 6: 7.0-18.0%; HEART 7: 12.0-23.0%)
Using exponential modeling and confidence interval (CI) analysis, this report evaluates the internal risk behavior of the history, electrocardiogram, age, risk factors, and troponin (HEART) score. The exponential model major adverse cardiac event (MACE %) = 0.79 × e(0.44·HEART) (R²≈0.99) demonstrates substantial CI overlap across HEART 1-3. Only HEART 0-1, combined with non-ischemic ECG and serial negative high-sensitivity troponins, reliably satisfies the American College of Cardiology/American Heart Association (ACC/AHA) <1% 30-day MACE definition. These findings refine the interpretation of intermediate HEART strata and clarify guideline-aligned use.
David Dobies (Sun,) conducted a review in Patients presenting with acute chest pain undergoing HEART score risk stratification. HEART score risk stratification vs. Not applicable (mathematical modeling and re-analysis of published data) was evaluated on 30-day major adverse cardiac event (MACE) rate (Exponential model MACE (%) = 0.79 × e^(0.44×HEART) (R²≈0.99), 95% CI HEART 0: 0.0-0.3%; HEART 1: 0.0-1.8%; HEART 2: 0.0-3.5%; HEART 3: 0.4-4.8%; HEART 4: 1.8-7.2%; HEART 5: 4.0-12.0%; HEART 6: 7.0-18.0%; HEART 7: 12.0-23.0%). HEART score 0-1 combined with non-ischemic ECG and serial negative hs-troponins reliably predicts <1% 30-day MACE risk, while HEART scores 1-3 show substantial risk overlap and limited statistical separability.