Related Experiment Video
Updated: Apr 29, 2026

Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia
Published on: September 22, 2020
[A poor outcome prediction scale in ST-segment elevation myocardial infarction patients undergoing emergency
Insights
This study developed a new prediction scale for ST-segment elevation myocardial infarction (STEMI) patients undergoing percutaneous coronary intervention. The scale identifies risk factors to predict poor outcomes, aiding in patient stratification for better management.
Area of Science:
- Cardiology
- Biomarkers
- Clinical Prediction Models
Background:
- ST-segment elevation myocardial infarction (STEMI) is a critical condition requiring accurate prognostic assessment.
- Predicting poor outcomes in STEMI patients post-percutaneous coronary intervention (PCI) is crucial for guiding treatment strategies.
Purpose of the Study:
- To develop and validate a novel prediction scale for identifying STEMI patients at risk of poor outcomes.
- To incorporate clinical, electrocardiographic, and laboratory variables, including cytokines and selectins, into a predictive model.
Main Methods:
- A cohort of 154 STEMI patients undergoing PCI was enrolled.
- Cytokine and selectin levels (TNF-α, IL-1α, sP-selectin) were measured on days 1 and 10 post-PCI.
- A prediction scale was constructed using independent prognostic variables and validated on an independent sample of 50 STEMI patients.
Main Results:
- Independent predictors of poor outcome included Killip Class III-IV heart failure, smoking history, rhythm/conduction disturbances, and elevated TNF-α (day 1), IL-1α, and sP-selectin (day 10).
- The developed prediction scale demonstrated high accuracy (89.6%) in classifying STEMI patients' risk.
- Receiver operating characteristic (ROC) analysis was used to define risk strata (low, moderate, high).
Conclusions:
- The new prediction scale effectively stratifies STEMI patients into low, moderate, and high-risk groups for poor outcomes within one year.
- The scale exhibits superior prognostic efficiency compared to existing models like PAMI, CADILLAC, and TIMI.
- This tool aids in clinical decision-making for STEMI management post-PCI.
Aim:
To make a prediction scale using a set of clinical and laboratory prognostic variables for patients with ST-segment elevation myocardial infarction (STEMI) on their electrocardiograms (ECG) who have undergone percutaneous coronary intervention.
Subjects And Methods:
The study enrolled 154 STEMI patients who had undergone percutaneous coronary angioplasty with stenting of the artery supplying blood to the area of an ischemia. Enzyme immunoassay was used to determine the levels of cytokines and selectins on days 1 and 10.
Results:
During a year, the authors identified the following independent risk factors of a poor outcome (PO): symptoms of Killip Class III-IV heart failure; a history of smoking; rhythm and conduction disturbances on day 1 of the disease; tumor necrosis factor-alpha levels determined on day 1 of the disease; IL-1alpha and sP-selectin levels measured on day 10. In the made prediction scale, a score was assigned to each independent prognostic variable to estimate the risk of PO. The borderline values of summing the scores, which divided the patients into groups at low, moderate, and high risk for PO, were determined for the practical application of the scale, by using the receiver operating characteristic curve (ROC) analysis. The performance of the model was tested using an independent sample of STEMI patients (n = 50). The probability that the classification of the model was correct amounted to 89.6% (p < 0.0001).
Conclusion:
The made prediction scale allows the patients with STEMI to be allocated to groups at low, moderate, high risks for PO during a year. Evaluation of the prognostic efficiency of the new scale versus the known scales PAMI, CADILLAC, and TIMI ST elevation, by plotting the ROC curve and estimating the area under the latter, demonstrated the high predictive ability of the new scale.
More Related Videos
18:11A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
Published on: December 28, 2012
09:10Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
Published on: February 22, 2020
Related Concept Videos
Acute Coronary Syndrome I: Introduction
Acute Coronary Syndrome III: Diagnostic Studies
Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations
Acute Coronary Syndrome IV: Interprofessional Care