New cut-off values of cardiac markers for risk stratification of angina pectoris
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Updated: Aug 19, 2026

Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
Published on: January 28, 2020
Nelly Jordanova1, Mariann Gyöngyösi, Aliasghar Khorsand
1Division of Cardiology, University of Vienna Medical School, Währinger Gürtel 18-20, A-1090 Vienna, Austria.
Insights
Accurate prediction of cardiac events in chest pain patients is possible using cardiac markers like troponin I. Combining troponin measurements improves risk stratification and identifies patients needing early revascularization.
Area of Science:
- Cardiology
- Biomarkers
- Risk Stratification
Background:
- Prospective study investigating cardiac markers for predicting cardiac events.
- Cardiac events include cardiac death, myocardial infarction, and ischemia requiring revascularization.
Purpose of the Study:
- To assess the accuracy of various cardiac markers in predicting subsequent cardiac events.
- To determine optimal cut-off points for these markers.
Main Methods:
- Measured fibrinogen, troponin T, troponin I, creatine phosphokinase myocardial fraction, C-reactive protein, and myoglobin in 154 chest pain patients.
- Utilized receiver operator characteristic (ROC) analyses to establish predictive cut-off values.
Main Results:
- Troponin I showed high predictive accuracy (0.909 at 6h).
- Combination of baseline troponin I with other parameters yielded up to 98% sensitivity.
- Additive troponin I measurements at 6h combined with baseline troponin T and I offered the best prediction.
Conclusions:
- Adjusted cut-off levels for cardiac markers and inflammatory parameters enhance risk stratification accuracy in chest pain patients.
- Combined marker measurements can identify patients who may benefit from early coronary revascularization.
Background:
The aim of this present prospective study was to investigate the accuracy of cardiac markers for the prediction of subsequent cardiac events (cardiac death, acute myocardial infarction and recurrent ischemia requiring coronary revascularization).
Methods:
Fibrinogen, cardiac troponin T, troponin I, creatine phosphokinase myocardial fraction, C-reactive protein and myoglobin at baseline and after 6 h were measured on 154 patients (109 male, 63+/-11 years) with chest pain. Receiver operator characteristic analyses were performed to determine cut-off points of cardiac markers in prediction of adverse events.
Results:
The following cut-off values for prediction of cardiac events were calculated: troponin I at baseline 0.3 ng/ml (predictive accuracy=0.870), troponin I at 6 h 0.50 ng/ml (p.a.=0.909); troponin T at baseline 0.05 ng/ml (p.a.=0.643), troponin T at 6 h 0.05 ng/ml (p.a.=0.612), creatine phosphokinase myocardial fraction at baseline 2.0 ng/ml (p.a.=0.721), creatine phosphokinase myocardial fraction at 6 h 2.5 ng/ml (p.a.=0.734), myoglobin at baseline 23 ng/ml (p.a.=0.623), myoglobin at 6 h 26 ng/ml (p.a.=0.617), C-reactive protein at baseline 0.31 mg/dl (p.a.=0.662), C-reactive protein at 6 h 0.55 mg/dl (p.a.=0.682), and fibrinogen at baseline 360 mg/dl (p.a.=0.701). The combination of baseline troponin I with different parameters resulted in a higher sensitivity of up to 98%, with a similar predictive accuracy, but a lower specificity. Additive measurements of cardiac troponin I at 6 h to baseline cardiac troponin T and I proved to be the best combination for prediction of subsequent cardiac events.
Conclusions:
Changes in cut-off levels of cardiac markers and inflammatory parameters results in a high accuracy of risk stratification in patients with chest pains. Combination of these measurements might further help in the identification of patients who would benefit from early coronary revascularization.
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