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Heart Surg Forum ; 26(1): E051-E055, 2023 Feb 10.
Artículo en Inglés | MEDLINE | ID: mdl-36856499

RESUMEN

Objective :To investigate the predictive value of no reflow phenomenon in interventional therapy by measuring plaque quantitatively with optical coherence tomography (OCT).  Methods:196 patients with acute ST segment elevation myocardial infarction who visited the Department of Cardiology of the Second Affiliated Hospital of Zhengzhou University from January 2020 to January 2022 were selected as the study objects. According to whether there was no reflow during the operation, they were divided into no reflow group (46 cases) and normal flow group (150 cases). Systematically collect general clinical data and coronary angiography related data of patients through inpatient cases, measure fiber cap thickness and lipid core angle of diseased vascular plaque through optical coherence tomography, and analyze the relationship between fiber cap thickness and no reflow phenomenon   Results:BMI, LDL, phospholipase A, the proportion of family history of coronary heart disease, and the thrombus load in the no reflow group were higher than those in the normal flow group (P<0.05), while the thickness of the fibrous cap was lower than that in the normal flow group (P<0.05); Further multivariate logistic regression analysis showed that fiber cap thickness, phospholipase A and severe thrombosis load were independent risk factors for non reflow phenomenon (P<0.05); Further ROC curve analysis found that the thickness of fiber cap had a high predictive value for no reflow phenomenon, and the best cutoff value for no reflow was 95, AUC: 0.926 (95% CI: 0.891-0.961, P<0.001). Conclusions: Optical coherence tomography can predict the occurrence of no reflow phenomenon by measuring the fiber cap thickness quantitatively. The prediction effect is the best when the fiber cap thickness is 95.


Asunto(s)
Fenómeno de no Reflujo , Intervención Coronaria Percutánea , Humanos , Tomografía de Coherencia Óptica , Factores de Riesgo , Fosfolipasas
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