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The Mean Corrected TIMI Frame Count Could Predict Major Adverse Cardiovascular Events in Patients with Coronary
Esra Poyraz1, Göktuğ Savaş1, Aysun Erdem1
1Department of Cardiology, University of Health Sciences, Dr. Siyami Ersek Thoracic and Cardiovascular Training and Research Hospital, İstanbul, Turkey.
Insights
Higher mean corrected thrombolysis in myocardial frame count (TFC) is linked to increased major adverse cardiovascular events in patients with coronary slow-flow phenomenon. This finding highlights TFC as a potential predictor for adverse cardiovascular outcomes in this patient group.
Area of Science:
- Cardiology
- Interventional Cardiology
- Cardiovascular Imaging
Background:
- Coronary slow-flow phenomenon (CSFP) is a condition characterized by delayed contrast agent transit in epicardial coronary arteries.
- The clinical significance of CSFP and its association with adverse cardiovascular events require further elucidation.
- Thrombolysis in myocardial infarction (TIMI) frame count is a quantitative measure of coronary blood flow, with corrected TIMI frame count (cTFC) offering improved accuracy.
Purpose of the Study:
- To investigate the association between mean corrected thrombolysis in myocardial frame count (cTFC) and major adverse cardiovascular events (MACE) in patients diagnosed with coronary slow-flow phenomenon.
- To identify predictors of recurrent chest pain and MACE in this patient cohort.
Main Methods:
- A retrospective analysis of 98 patients with CSFP from 2015-2020.
- Patients were stratified into quartiles based on their mean cTFC values.
- Group 1 (higher cTFC, >36.68) was compared with Group 2 (lower cTFC, ≤36.68) regarding mortality and non-fatal cardiovascular complications.
Main Results:
- Mean follow-up was 3.93 years. Group 1 showed significantly higher rates of recurrent chest pain and MACE compared to Group 2 (P ≤ .001 for both).
- Independent predictors of recurrent chest pain included hypertension, hyperlipidemia, and mean cTFC.
- Mean cTFC was identified as an independent predictor of MACE (OR 1.161, P = .021), alongside older age, hypertension, and hyperlipidemia.
Conclusions:
- Elevated mean corrected thrombolysis in myocardial frame count is a significant predictor of major adverse cardiovascular events in patients with coronary slow-flow phenomenon.
- Mean cTFC serves as a valuable quantitative marker for risk stratification in patients with CSFP.
Objective:
The aim of the present study was to investigate the association between the mean corrected thrombolysis in myocardial frame count and major adverse cardiovascular events in patients with the coronary slow-flow phenomenon.
Methods:
A total of 98 patients with coronary slow-flow phenomenon who met inclusion cri- teria from 2015 to 2020 were retrospectively included in the analysis. The patients were ranked according to their mean corrected thrombolysis in myocardial frame count values and were divided into quartiles based on those. Group 1 consisted of patients who had a mean corrected thrombolysis in myocardial frame count value >36.68 (third quartile), while group 2 consisted of patients who had a mean corrected thrombolysis in myocardial frame count value ≤36.68 (first quartile+second quartile). Mortality and non-fatal cardiovascular complications were compared between the groups.
Results:
Mean follow-up duration was 3.93 ± 1.50 years. Recurrent chest pain and major adverse cardiovascular events increased in group 1 compared to group 2 (P ≤ .001, P ≤ .001, respectively). Hypertension (odds ratio 2.627, P=.033), hyperlipidemia (odds ratio 2.469, P = .028) and mean corrected thrombolysis in myocardial frame count (odds ratio 1.106, P = .002) were independent predictors of recurrent chest pain according to Cox regression analysis. Although older age (odds ratio 1.125, P=.011), hypertension (odds ratio 6.081, P=.026), hyperlipidemia (odds ratio 12.308, P = 0.019), and mean corrected thrombolysis in myocardial frame count (odds ratio 1.476, P = .001) were found to be significantly related with major adverse cardiovascular events in patients with coronary slow-flow phenomenon, only mean corrected thrombolysis in myocardial frame count (odds ratio 1.161, P = .021) was an indepen- dent predictor of major adverse cardiovascular events in Cox regression analysis.
Conclusion:
Higher mean corrected thrombolysis in myocardial frame count could predict major adverse cardiovascular events in patients with the coronary slow-flow phenomenon.
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