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Chinese Journal of Postgraduates of Medicine ; (36): 615-621, 2023.
Article in Chinese | WPRIM | ID: wpr-991067

ABSTRACT

Objective:To construct acute ST-segment elevation myocardial infarction (STEMI) percutaneous coronary intervention (PCI) by using lipoprotein-associated phospholipase A2 (Lp-PLA2) and D-dimer to fibrinogen ratio (D/F) and other indicators postoperative patient prognosis nomogram model and evaluation of its predictive value.Methods:A total of 291 acute STEMI patients admitted to the BenQ Hospital Affiliated to Nanjing Medical University from January 2017 to January 2020 were retrospectively selected, including but not limited to Lp-PLA2 and D/F, were collected. Receiver operating characteristic (ROC) curve and multivariate Logistic regression were used to analyze the risk factors of death within 90 d after PCI in STEMI patients, and Kaplan-Meier survival curves were drawn to compare the survival of patients in different Lp-PLA2 and D/F groups. The R language software was used to build nomogram model and decision curve.Results:The AUCs of LpPLA2 and D/F for predicting the risk of death from cardiac causes at 90 s after PCI in patients with acute STEMI were 0.896 (95% CI 0.850 to 0.932) and 0.884 (95% CI 0.837 to 0.922), respectively. The values were 59.50 μg/L and 0.46 respectively ( P<0.05); the mortality rates of acute STEMI patients in LpPLA2>59.50 μg/L and D/F>0.46 groups after PCI were higher than those in LpPLA2≤59.50 μg/L group and D/F≤0.46 group ( P<0.05); age (>66 years), left ventricular ejection fraction (LVEF) (≤45%), LpPLA2 (>59.50 μg/L), D/F (>0.46), N-terminal brain natriuretic peptide precursor (>1.55 μg/L) and fasting blood glucose (>7.00 mmol/L) were the risk of death from cardiac causes at 90 d after PCI in patients with acute STEMI ( P<0.05); when the risk thresholds were >0.24, the nomogram model could provide significant additional net clinical benefit. Conclusions:Lp-PLA2 and D/F are closely related to the prognosis of patients with acute STEMI after PCI, and the nomogram model constructed in combination with other clinical indicators can effectively predict the risk of death within 90 d after PCI.

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