Predictive value of three Inflammation-based Glasgow Prognostic Scores for major cardiovascular adverse events in patients with acute myocardial infarction during hospitalization: a retrospective study.

Inflammation-based Glasgow Prognostic Scores (GPS) have been reported to predict the prognosis of patients with acute ST-elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI). The goal of this study was to investigate whether three kinds of GPSs can effectively predict major cardiovascular adverse events (MACEs) in STEMI or non-ST-segment elevation myocardial infarction (NSTEMI) patients undergoing PPCI, elective PCI (EPCI) or conservative drug therapy during hospitalization. In this retrospective cohort study, patients with acute myocardial infarction (AMI) were divided into 0, 1 or 2 score according to the GPSs. Logistic regression and receiver operating characteristic (ROC) curve analysis were performed to assess the predictive value of GPSs for MACE and all-cause mortality during hospitalization. Three kinds of GPSs, Inflammation-based Glasgow Prognostic Score (GPS), modified GPS (MGPS) and high-sensitivity CRP-modified GPS (HS-MGPS) and Global Registry of Acute Coronary Events (GRACE) score were applied in this study. A total of 188 patients were enrolled. The ROC curve with MACE showed that the AUC of GPS (0.820 (95% confidence interval (CI) [0.754-0.885]), P < 0.001) was larger than that of MGPS (0.789 (95% CI [0.715-0.863]), P < 0.001), HS-MGPS (0.787 (95% CI [0.717-0.856]), P < 0.001) and GRACE score (0.743 (95% CI [0.672-0.814]), P < 0.001). The ROC curve with all-cause mortality showed that the AUC of GPS (0.696 (95% CI [0.561-0.831]), P = 0.005) was similar to the HS-MGPS (0.698 (95% CI [0.569-0.826]), P = 0.005) and higher than the MGPS (0.668 (95% CI [0.525-0.812]), P = 0.016), but lower than the GRACE score (0.812 (95% CI [0.734-0.889]), P < 0.001). Multivariate logistic regression analysis showed that the GPS was an independent risk factor for the incidence of MACE during hospitalization. Compared with the odds ratio (OR) value for a GPS of 0, the OR for a GPS of 1 was 7.173 (95% CI [2.425-21.216]), P < 0.001), and that for a GPS of 2 was 18.636 (95% CI [5.813-59.746]), P < 0.001), but not an independent risk factor for all-cause mortality (P = 0.302). GRACE score was an independent risk factor for MACE (1.019 (95% CI [1.004-1.035]), P = 0.015) and all-cause mortality (1.040 (95% CI [1.017-1.064]), P = 0.001). In the subgroups classified according to the type of AMI, the presence of disease interference GPSs and the type of PCI, the ability of GPS to predict the occurrence of MACE seemed to be greater than that of MGPS and HS-MGPS. The GPS has a good predictive value for the occurrence of MACE during hospitalization in patients with AMI, regardless of STEMI or NSTEMI, the choice of PCI mode and the presence or absence of diseases that interfere with GPS. However, GPS is less predictive of all-cause mortality during hospitalization than GRACE score, which may be due to the interference of patients with other diseases.

Zhu H ，Li Z ，Xu X ，Fang X ，Chen T ，Huang J ... -  《PeerJ》

Predictive value of inflammation-based Glasgow prognostic score, platelet-lymphocyte ratio, and global registry of acute coronary events score for major cardiovascular and cerebrovascular events during hospitalization in patients with acute myocardial inf

Xu X ，Cai L ，Chen T ，Ding S ，Zhang F ，Gao B ，Zhu H ，Huang J ... -  《Aging-US》

[Comparison of the predictive value of the modified CADILLAC, GRACE and TIMI risk scores for the risk of short-term death in patients with acute ST segment elevation myocardial infarction after percutaneous coronary intervention].

Ji C ，Song F ，Huang X ，Qu X ，Qiu N ，Zhu J ... -  《-》

Construction and evaluation of nomogram model for individualized prediction of risk of major adverse cardiovascular events during hospitalization after percutaneous coronary intervention in patients with acute ST-segment elevation myocardial infarction.

Emergency percutaneous coronary intervention (PCI) in patients with acute ST-segment elevation myocardial infarction (STEMI) helps to reduce the occurrence of major adverse cardiovascular events (MACEs) such as death, cardiogenic shock, and malignant arrhythmia, but in-hospital MACEs may still occur after emergency PCI, and their mortality is significantly increased once they occur. The aim of this study was to investigate the risk factors associated with MACE during hospitalization after PCI in STEMI patients, construct a nomogram prediction model and evaluate its effectiveness. A retrospective analysis of 466 STEMI patients admitted to our hospital from January 2018 to June 2022. According to the occurrence of MACE during hospitalization, they were divided into MACE group (n = 127) and non-MACE group (n = 339), and the clinical data of the two groups were compared; least absolute shrinkage and selection operator (LASSO) regression was used to screen out the predictors with non-zero coefficients, and multivariate Logistic regression was used to analyze STEMI Independent risk factors for in-hospital MACE in patients after emergency PCI; a nomogram model for predicting the risk of in-hospital MACE in STEMI patients after PCI was constructed based on predictive factors, and the C-index was used to evaluate the predictive performance of the prediction model; the Bootstrap method was used to repeat sampling 1,000 Internal validation was carried out for the second time, the Hosmer-Lemeshow test was used to evaluate the model fit, and the calibration curve was drawn to evaluate the calibration degree of the model. Receiver operating characteristic (ROC) curves were drawn to evaluate the efficacy of the nomogram model and thrombolysis in myocardial infarction (TIMI) score in predicting in-hospital MACE in STEMI patients after acute PCI. The results of LASSO regression showed that systolic blood pressure, diastolic blood pressure, Killip grade II-IV, urea nitrogen and left ventricular ejection fraction (LVEF), IABP, NT-ProBNP were important predictors with non-zero coefficients, and multivariate logistic regression analysis was performed to analyze that Killip grade II-IV, urea nitrogen, LVEF, and NT-ProBNP were independent factors for in-hospital MACE after PCI in STEMI patients; a nomogram model for predicting the risk of in-hospital MACE after PCI in STEMI patients was constructed with the above independent predictors, with a C-index of 0.826 (95% CI: 0.785-0.868) having a good predictive power; the results of H-L goodness of fit test showed χ2 = 1.3328, P = 0.25, the model calibration curve was close to the ideal model, and the internal validation C-index was 0.818; clinical decision analysis also showed that the nomogram model had a good clinical efficacy, especially when the threshold probability was 0.1-0.99, the nomogram model could bring clinical net benefits to patients. The nomogram model predicted a greater AUC (0.826) than the TIMI score (0.696) for in-hospital MACE after PCI in STEMI patients. Urea nitrogen, Killip class II-IV, LVEF, and NT-ProBNP are independent factors for in-hospital MACE after PCI in STEMI patients, and nomogram models constructed based on the above factors have high predictive efficacy and feasibility.

Fang C ，Chen Z ，Zhang J ，Jin X ，Yang M ... -  《Frontiers in Cardiovascular Medicine》

Prognostic value of platelet/lymphocyte ratio and CAMI-STEMI score for major adverse cardiac events in patients with acute ST segment elevation myocardial infarction after percutaneous coronary intervention: A prospective observational study.

The aim of this study was to investigate the predictive value of the platelet-to-lymphocyte ratio (PLR) and the China Acute Myocardial Infarction registry-ST segment elevation myocardial infarction (CAMI-STEMI) score for major adverse cardiovascular events (MACE) in ST-segment elevation myocardial infarction (STEMI) patients undergoing percutaneous coronary intervention (PCI) within 6 months.We enrolled STEMI patients who received emergency PCI in the First Hospital of Lianyungang from January 2016 to December 2019. The clinical characteristics of the patients, the PLR, and the CAMI-STEMI score were recorded. The MACE included heart failure, nonfatal re-infarction, recurrent angina pain, re-hospitalization for cardiovascular-related illness, repeat PCI, coronary artery bypass grafting, and all-cause mortality. According to the incidence of MACE during the follow-up the patients were divided into the MACE group (96 cases, 24.8%) and the non-MACE group (291 cases, 75.2%).The PLR, 147.62 (121.13-205.20) in MACE group, was 111.19 (90.23-146.42) in the non-MACE group in comparison, the PLR was higher in MACE group than that in non-MACE group (P < .01). Multivariate regression analysis showed that PLR (odds ratio (OR) = 1.007, 95% confidence interval (CI) 1.002-1.012, P < .01) and CAMI-STEMI score (OR = 1.575, 95% CI: 1.311-1.892, P < .01) were independent predictors of MACE. Besides, I-BIL was also an independent predictor of MACE (OR = 1.007, 95% CI: 1.011-1.146, P = .021). Reciever-operating characteristic curve showed that the area under curve of PLR was 0.704 (95%CI 0.644-0.763, P < .001). The cutoff value was 112.6, the sensitivity and specificity were 84.4% and 51.9%, respectively.PLR and CAMI-STEMI scores were independent risk factors of MACE after PCI in STEMI patients.

Wang Y ，Peng Z 《-》