A myocardial infarction (MI), or heart attack, occurs when heart muscle cells die from oxygen deprivation. Type 1 (T1MI) is typically caused by a blood clot within a coronary artery, whereas Type 2 (T2MI) results from an imbalance between oxygen supply and demand in the cardiac tissue. Distinguishing between the two is challenging in practice yet central to management decisions, prognosis, and downstream therapeutic strategy. Led by CVC Associate Faculty member Dr. Pishoy Gouda, this systematic review evaluated how effectively biomarkers—measurable biological indicators—can distinguish between these two events.
In an analysis of 31 studies involving over 16,000 patients with T2MI, researchers examined traditional biomarkers—such as troponin (proteins released during heart damage) and natriuretic peptides (hormones related to heart pressure)—alongside non-traditional metabolic and proteomic profiles, which act as unique biological signatures reflecting the body’s protein expression and chemical activity. Diagnostic accuracy was assessed via area under the curve (AUC), with 1.0 signifying perfect discrimination and 0.5 suggesting no predictive power beyond chance.
The analysis revealed that 97% of the included studies carried a moderate or severe risk of bias. Consequently, traditional markers showed only poor-to-moderate accuracy in distinguishing the two types of MI, with an AUC ranging from 0.61 to 0.71. While adding commonly collected clinical data—such as age and heart rate—slightly improved accuracy to 0.71–0.82, no single biomarker or risk score proved definitive. Non-traditional approaches like proteomics and metabolomics showed potential, but their performance remained inconsistent and limited by small, biased study populations.
Ultimately, the authors conclude that current biomarkers are not yet reliable enough to replace clinical judgment in diagnosing or predicting outcomes for T2MI patients. Until higher-quality, dedicated biomarker research is available, a comprehensive clinical assessment remains the most vital tool for guiding patient care.
