Effect of complete revascularization in acute coronary syndrome after 75 years old:insights from the BleeMACS registry

BACKGROUND The prognostic benefit of complete revascularization in elderly patients(aged over 75 years)with multi-vessel disease and acute coronary syndrome(ACS)is currently unclear.This study aimed to determine the long-term prognostic impact of complete revascularization in this population.METHODS We conducted this study using data obtained from the BleeMACS(Bleeding complications in a Multicenter registry of patients discharged after an Acute Coronary Syndrome)registry,which was carried out from 2003 to 2014.The objective was to categorize older patients diagnosed with ACS into two groups:those who underwent complete revascularization and those who did not.Propensity score matching and the Kaplan-Meier analysis were employed to examine differences in one-year clinical outcomes.The primary endpoint was major adverse cardiovascular event(MACE),which encompassed a combination of all-cause mortality and myocardial infarction.RESULTS Out of 1263 patients evaluated,445 patients(35.2%)received complete revascularization.Patients who underwent complete revascularization had a higher prevalence of hypertension and prior percutaneous coronary intervention compared to those who did not.During the one-year follow-up period,complete revascularization was associated with a significantly decreased risk of MACE[13.7%vs.20.5%,hazard ratio(HR)=0.63,95%CI:0.45–0.88,P=0.007]and a lower risk of myocardial infarction(5.9%vs.9.9%,HR=0.55,95%CI:0.33–0.92,P=0.02).However,it was not linked to a lower risk of all-cause death(9.5%vs.13.5%,HR=0.68,95%CI:0.45–1.02,P=0.06).Similar results were observed in the subgroup analysis.CONCLUSIONS Long-term clinical improvements were observed in ACS patients aged over 75 years with multi-vessel disease who achieved complete revascularization.Therefore,adhering to guidelines for complete revascularization should be recommended for elderly patients.

Mild haemoglobin drop and clinical outcomes in acute coronary syndrome patients:finding from the BleeMACS registry

BACKGROUND Haemoglobin drop is common in acute coronary syndrome(ACS)patients and correlates with poor prognosis.However,the association between mild haemoglobin drop and adverse clinical outcome remains insufficiently investigated.This study aimed to examine the association between in-hospital haemoglobin drop and risk for adverse clinical outcomes in ACS patients,especially those with mild drop.METHODS Included patients from the BleeMACS(Bleeding complications in a Multicenter registry of patients discharged after an Acute Coronary Syndrome)registry were categorized into three groups by the presence and amount of in-hospital haemoglobin drop(non-drop,mild drop and severe drop).The cut-off point between mild drop and severe drop is≥3 g/dL.Multivariate Cox regression was used to assess the association between haemoglobin drop and major adverse cardiac endpoints(MACE).Patients taking potent P2Y_(12) inhibitors were selected for the additional analysis.Propensity score matching was used to avoid selective bias in the additional analysis.RESULTS Of 6911 patients,4949 patients(71.6%)experienced in-hospital haemoglobin drop.Compare with non-drop group,patients with haemoglobin drop had higher risk of MACE[adjusted hazard ratio(HR)=1.36,95%CI:1.03–1.80 for mild drop group;adjusted HR=1.70,95%CI:1.07–2.68 for severe drop group].Patients in mild drop group were less likely to receive potent P2Y_(12) inhibitors at discharge(mild drop group vs.severe drop group vs.non-drop group:10.9%vs.10.7%vs.23.8%).After propensity score matching adjustment among patients with potent P2Y_(12) inhibitors,patients in mild drop group were not associated with an increased risk of MACE than those in non-drop group(adjusted HR=1.52,95%CI:0.49–4.72).CONCLUSIONS In-hospital haemoglobin drop was common in ACS patients and associated with a higher risk for adverse events.Reduced prescription for potent P2Y_(12) inhibitors may be responsible for poor prognoses among patients with mild haemoglobin drop.

Risk analysis of gastrointestinal bleeding in hospital patients with acute myocardial infarction undergoing primary PCI

Dual antiplatelet therapy with aspirin and a P2Y12 inhibitor is the cornerstone of acute myocardial infarction(AMI)management,both invasive and conservative.[1,2]This dual strategy improved ischemic outcomes but was offset by an increased bleeding risk.The prognostic importance of bleeding events has been well established over the past decades,as several studies have shown a strong association between bleeding and mortality.[3]The CRUSADE score is superior to other scores in predicting in-hospital major bleeding events.In this regard,in its non-ST elevation acute coronary syndromes(NSTE-ACS)guidelines,the European Society of Cardiology(ESC)stated that the CRUSADE score could be considered for bleeding risk quantification of coronary angiography in NSTE-ACS patients(class IIb,level B evidence).[4]However,the most common site of spontaneous.

Exploring the Feasibility of Machine Learning to Predict Risk Stratification Within 3 Months in Chest Pain Patients with Suspected NSTE-ACS

Objective We aimed to assess the feasibility and superiority of machine learning(ML)methods to predict the risk of Major Adverse Cardiovascular Events(MACEs)in chest pain patients with NSTE-ACS.Methods Enrolled chest pain patients were from two centers,Beijing Anzhen Emergency Chest Pain Center Beijing Bo’ai Hospital,China Rehabilitation Research Center.Five classifiers were used to develop ML models.Accuracy,Precision,Recall,F-Measure and AUC were used to assess the model performance and prediction effect compared with HEART risk scoring system.Ultimately,ML model constructed by Naïve Bayes was employed to predict the occurrence of MACEs.Results According to learning metrics,ML models constructed by different classifiers were superior over HEART(History,ECG,Age,Risk factors,&Troponin)scoring system when predicting acute myocardial infarction(AMI)and all-cause death.However,according to ROC curves and AUC,ML model constructed by different classifiers performed better than HEART scoring system only in prediction for AMI.Among the five ML algorithms,Linear support vector machine(SVC),Naïve Bayes and Logistic regression classifiers stood out with all Accuracy,Precision,Recall and F-Measure from 0.8 to 1.0 for predicting any event,AMI,revascularization and all-cause death(vs.HEART≤0.78),with AUC from 0.88 to 0.98 for predicting any event,AMI and revascularization(vs.HEART≤0.85).ML model developed by Naïve Bayes predicted that suspected acute coronary syndrome(ACS),abnormal electrocardiogram(ECG),elevated hs-cTn I,sex and smoking were risk factors of MACEs.Conclusion Compared with HEART risk scoring system,the superiority of ML method was demonstrated when employing Linear SVC classifier,Naïve Bayes and Logistic.ML method could be a promising method to predict MACEs in chest pain patients with NSTE-ACS.

Outcomes of catheter-directed thrombolysis versus systemic thrombolysis in the treatment of pulmonary embolism: a metaanalysis

OBJECTIVE To evaluate the safety and efficacy of catheter-directed thrombolysis(CDT)versus systemic thrombolysis(ST)in the treatment of pulmonary embolism(PE).METHODS The Cochrane Library,PubMed,and Embase databases were searched to collect the literature on the comparison of the results of CDT and ST in the treatment of PE from the beginning of their records to May 2020,and meta-analysis was performed by STATA software(version 15.1).Using standardized data-collection forms,the authors screened the studies and independently extracted data,and assessed the quality of the studies using the Newcastle-Ottawa Scale for cohort studies.Cohort studies that examined the following results were included in the current study:in-hospital mortality,all-cause bleeding rate,gastrointestinal bleeding rate,intracranial hemorrhage rate,the incidence of shock,and hospital length of stay.RESULTS A total of eight articles,with 13,242 participants,involving 3962 participants in the CDT group and 9280 participants in the ST group were included.CDT compared with ST in the treatment of PE can significantly affect in-hospital mortality rate[odds ratio(OR)=0.41,95%CI:0.30–0.56,P<0.05],all-cause bleeding rate(OR=1.20,95%CI:1.04–1.39,P=0.012),gastrointestinal bleeding rate(OR=1.43,95%CI:1.13–1.81,P=0.003),the incidence of shock(OR=0.46,95%CI:0.37–0.57,P<0.05),and hospital length of stay[standard mean difference(SMD)=0.16,95%CI:0.07–0.25,P<0.05].However,there was no significant effect on intracranial hemorrhage rate in patients with PE(OR=0.70,95%CI:0.47–1.03,P=0.070).CONCLUSIONS CDT is a viable alternative to ST in the treatment of PE,as it can significantly reduce in-hospital mortality rate,all-cause bleeding rate,gastrointestinal bleeding rate,and incidence of shock.However,CDT may prolong hospital length of stay to a certain extent.Further research is needed to evaluate the safety and efficacy of CDT and ST in the treatment of acute PE and other clinical outcomes.