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A risk score for no reflow in patients with ST-segment elevation myocardial infarction after primary percutaneous
Jin-Wen Wang1, Zi-Qiang Zhou, Yun-Dai Chen
1Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, People's Republic of China.
Insights
A new 7-item risk score accurately predicts no-reflow (NRF) in ST-segment elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (PCI). This simplified score aids in early clinical assessment and risk stratification.
Area of Science:
- Cardiology
- Interventional Cardiology
- Clinical Risk Prediction
Background:
- The no-reflow (NRF) phenomenon complicates ST-segment elevation myocardial infarction (STEMI) treatment.
- Factors like glucose, age, and thrombus burden influence NRF.
- Accurate prediction of NRF is crucial for optimal patient management.
Purpose of the Study:
- To develop a simple, accurate scoring system for predicting NRF risk.
- To identify key clinical and procedural predictors of NRF in STEMI patients undergoing primary PCI.
Main Methods:
- A risk score was developed using a training dataset (n=912) and validated on a separate test dataset (n=864).
- Independent predictors of NRF were identified through multivariable analysis.
- Receiver operating characteristic (ROC) analysis was employed to assess the score's discriminative ability.
Main Results:
- Seven significant predictors of NRF were identified: age, pain-to-PCI time, neutrophil count, admission glucose, pre-PCI thrombus score, collateral circulation, and Killip class.
- A 7-item simplified risk score was constructed using these variables.
- The risk score demonstrated good predictive performance in the test dataset, with a c-statistic of 0.800.
Conclusions:
- A simplified 7-item risk score can predict the incidence of NRF in STEMI patients undergoing primary PCI with acceptable accuracy.
- This score offers a valuable tool for early risk stratification and clinical decision-making.
Background:
Many factors are associated with no-reflow (NRF) phenomenon in ST-segment elevation myocardial infarction (STEMI), including plasma glucose, age, and pre-percutaneous coronary intervention (PCI) thrombus score. Initial clinical assessment would benefit from accurate NRF prediction. This study aimed to develop a simple scoring system to predict the risk of NRF in patients undergoing primary PCI with STEMI.
Methods:
Baseline clinical and procedural variables were used for risk score development (the training dataset, n = 912) and validation (the test dataset, n = 864). Independent predictors of NRF from the multivariable model were assigned integer weights based on their coefficients and incorporated into a risk score. The discriminant ability of the score was tested by receiver operating characteristic analysis using the test dataset.
Results:
The final model included 7 significant variables, which were age, pain-to-PCI time, neutrophil count, admission plasma glucose level, pre-PCI thrombus score, collateral circulation, and Killip class. All these variables were then used to build a risk score in terms of the prediction of NRF. Receiver operating characteristic analysis demonstrated good risk prediction with a c statistic of 0.800 (95% confidence interval: 0.772-0.826) in the test dataset.
Conclusions:
In patients with STEMI treated by primary PCI, incidence of NRF phenomenon may be predicted with an acceptable accuracy based on a 7-item simplified risk score.
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