scholarly journals Clinical Nomogram to Predict Major Adverse Cardiac Events in Acute Myocardial Infarction Patients within 1 Year of Percutaneous Coronary Intervention

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Defeng Pan ◽  
Shengjue Xiao ◽  
Yue Hu ◽  
Qinyuan Pan ◽  
Qi Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Calibration Curve ◽  
Clinical Characteristics ◽  
Multivariate Analyses ◽  
Coronary Intervention ◽  
Left Ventricular Ejection ◽  
Percutaneous Coronary

The purpose of this study was to summarize the clinical characteristics and risk factors of major adverse cardiovascular events (MACEs) in patients who had had acute myocardial infarction (AMI) within 1 year of percutaneous coronary intervention (PCI). A total of 421 AMI patients who were treated with PCI and experienced MACEs within 1 year of their admission were included in this retrospective study. In addition, patients were matched for age, sex, and presentation with 561 patients after AMI who had not had MACEs. The clinical characteristics and risk factors for MACEs within 1 year in AMI patients were investigated, to develop a nomogram for MACEs based on univariate and multivariate analyses. The C statistic was used to assess the discriminative performance of the nomogram. In addition, calibration curve and decision curve analyses were conducted to validate the calibration performance and utility, respectively, of the nomogram. After univariate and multivariate analyses, a nomogram was constructed based on age (odds ratio (OR): 1.030; 95% confidence interval (CI): 1.014–1.047), diabetes mellitus (OR: 1.667; 95% CI: 1.151–2.415), low-density lipoprotein cholesterol (OR: 1.332; 95% CI: 1.134–1.565), uric acid (OR: 1.003; 95% CI: 1.001–1.005), lipoprotein (a) (OR: 1.003; 95% CI: 1.002–1.003), left ventricular ejection fraction (OR: 0.929; 95% CI: 0.905–0.954), Syntax score (OR: 1.075; 95% CI: 1.053–1.097), and hypersensitive troponin T (OR: 1.002; 95% CI: 1.002–1.003). The C statistic was 0.814. The calibration curve showed good concordance of the nomogram, while decision curve analysis demonstrated satisfactory positive net benefits. We developed a convenient, practical, and effective prediction model for predicting MACEs in AMI patients within 1 year of PCI. To ensure generalizability, this model requires external validation.

scholarly journals Incidence and risk factors of delirium after percutaneous coronary intervention in individuals hospitalised for acute myocardial infarction: protocol for a systematic review and meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e044564
Author(s):  
Kaizhuang Huang ◽  
Jiaying Lu ◽  
Yaoli Zhu ◽  
Tao Cheng ◽  
Dahao Du ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Systematic Review ◽  
Acute Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Risk Factor ◽  
Meta Analysis ◽  
Coronary Intervention ◽  
Cochrane Library ◽  
Percutaneous Coronary

IntroductionDelirium in the postoperative period is a wide-reaching problem that affects important clinical outcomes. The incidence and risk factors of delirium in individuals with acute myocardial infarction (AMI) after primary percutaneous coronary intervention (PCI) has not been completely determined and no relevant systematic review and meta-analysis of incidence or risk factors exists. Hence, we aim to conduct a systematic review and meta-analysis to ascertain the incidence and risk factors of delirium among AMI patients undergoing PCI.Methods and analysesWe will undertake a comprehensive literature search among PubMed, EMBASE, Cochrane Library, PsycINFO, CINAHL and Google Scholar from their inception to the search date. Prospective cohort and cross-sectional studies that described the incidence or at least one risk factor of delirium will be eligible for inclusion. The primary outcome will be the incidence of postoperative delirium. The quality of included studies will be assessed using a risk of bias tool for prevalence studies and the Cochrane guidelines. Heterogeneity of the estimates across studies will be assessed. Incidence and risk factors associated with delirium will be extracted. Incidence data will be pooled. Each risk factor reported in the included studies will be recorded together with its statistical significance; narrative and meta-analytical approaches will be employed. The systematic review and meta-analysis will be presented according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses.Ethics and disseminationThis proposed systematic review and meta-analysis is based on published data, and thus there is no requirement for ethics approval. The study will provide an up to date and accurate incidence and risk factors of delirium after PCI among patients with AMI, which is necessary for future research in this area. The findings of this study will be disseminated through publication in a peer-reviewed journal.PROSPERO registration numberCRD42020184388.

scholarly journals Adverse prognostic factors for rescuing patients with acute myocardial infarction–induced cardiac arrest receiving percutaneous coronary intervention under extracorporeal membrane oxygenation

2021 ◽  
pp. 102490792199761
Author(s):  
Jianxi Ye
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Cardiac Arrest ◽  
Extracorporeal Membrane Oxygenation ◽  
Coronary Intervention ◽  
Membrane Oxygenation ◽  
Percutaneous Coronary ◽  
Induced Cardiac Arrest

Background: Acute myocardial infarction–induced cardiac arrest has high mortality rate. Objective: To investigate the risk factors of extracorporeal membrane oxygenation combined with percutaneous coronary intervention in rescuing acute myocardial infarction–induced cardiac arrest. Methods: Forty-three eligible patients were assigned into death and survival groups. Their general clinical data, treatment outcomes, and various indicators 24, 48, and 72 h after extracorporeal membrane oxygenation implantation were compared. The factors affecting clinical outcomes were determined by multivariate logistic regression analysis. A nomogram prediction model was constructed and validated. Results: After removing extracorporeal membrane oxygenation device, 19 patients recovered and 24 died (mortality rate: 55.81%). The two groups had different conventional cardiopulmonary resuscitation duration, number of diseased vessels, distribution of culprit vessel, time from cardiac arrest to extracorporeal membrane oxygenation implantation, length of stay in critical care unit, and mean arterial pressure 24 and 48 h after extracorporeal membrane oxygenation implantation ( p < 0.05). Left anterior descending as the culprit vessel, number of diseased vessels, conventional cardiopulmonary resuscitation duration, time from cardiac arrest to extracorporeal membrane oxygenation implantation, and mean arterial pressure 48 h after extracorporeal membrane oxygenation resuscitation were independent risk factors for death. The predicted mortality rate was 72.6%, and the actual concordance index (C-index) was 0.869. Such indices after internal and external validations were 0.861 and 0.848, respectively, suggesting a good concordance. Conclusion: Left anterior descending as the culprit vessel, number of diseased vessels, conventional cardiopulmonary resuscitation duration, time from cardiac arrest to extracorporeal membrane oxygenation implantation, and mean arterial pressure 48 h after extracorporeal membrane oxygenation resuscitation are independent risk factors for patients with acute myocardial infarction–induced cardiac arrest undergoing extracorporeal membrane oxygenation combined with percutaneous coronary intervention.

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