Chenxi Song
Peking Union Medical College
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Chenxi Song.
Scientific Reports | 2017
Yiping Li; Dong Zhang; Yuan He; Changzhe Chen; Chenxi Song; Yanyan Zhao; Yinxiao Bai; Yang Wang; Jielin Pu; Jingzhou Chen; Yang Y; Kefei Dou
Coronary heart disease (CHD) is associated with complex metabolic disorders, but its molecular aetiology remains unclear. Using a novel nontargeted metabolomics approach, we explored the global metabolic perturbation profile for CHD. Blood samples from 150 patients with severe obstructive CHD and 150 angiographically normal controls were collected. Metabolic fingerprinting was performed by ultra-high performance liquid chromatography coupled to quadruple time-of-flight mass spectrometry (UHPLC-QTOF/MS) technique. After adjusting for CHD traditional risk factors and metabolic batch, a comprehensive list of 105 metabolites was found to be significantly altered in CHD patients. Among the metabolites identified, six metabolites were discovered to have the strongest correlation with CHD after adjusting for multiple testing: palmitic acid (βu2009=u20090.205; pu2009<u20090.0001), linoleic acid (βu2009=u20090.133; pu2009<u20090.0001), 4-pyridoxic acid (βu2009=u20090.142; pu2009<u20090.0001), phosphatidylglycerol (20:3/2:0) (βu2009=u20090.287; pu2009<u20090.0001), carnitine (14:1) (βu2009=u20090.332; pu2009<u20090.0001) and lithocholic acid (βu2009=u20090.224; pu2009<u20090.0001); of these, 4-pyridoxic acid, lithocholic acid and phosphatidylglycerol (20:3/2:0) were, to the best of our knowledge, first reported in this study. A logistic regression model further quantified their positive independent correlations with CHD. In conclusion, this study surveyed a broad panel of nontargeted metabolites in Chinese CHD populations and identified novel metabolites that are potentially involved in CHD pathogenesis.
Catheterization and Cardiovascular Interventions | 2017
Dong Zhang; Yiping Li; Dong Yin; Yuan He; Changzhe Chen; Chenxi Song; Ruohua Yan; Chen'gang Zhu; Bo Xu; Kefei Dou
To investigate the predictors of and generate a risk prediction method for periprocedural myocardial infarction (PMI) after percutaneous coronary intervention (PCI) using the new PMI definition proposed by the Society for Cardiovascular Angiography and Interventions (SCAI).
Catheterization and Cardiovascular Interventions | 2018
Shuai Liu; Chenxi Song; Yanyan Zhao; Chenggang Zhu; Lei Feng; Kefei Dou; Bo Xu
Acquired thrombocytopenia is associated with an increased risk of adverse events of patients with acute coronary syndrome. However, data on its long‐term prognostic significance are limited. The aim of our study was to investigate the association between acquired thrombocytopenia and long‐term clinical outcomes.
Scientific Reports | 2018
Chenxi Song; Rui Fu; Kefei Dou; Jingang Yang; Haiyan Xu; Xiaojin Gao; Wei Li; Guofeng Gao; Zhiyong Zhao; Jia Liu; Yang Y
Risk stratification of patients with acute myocardial infarction (AMI) is of clinical significance. Although there are many existing risk scores, periodic update is required to reflect contemporary patient profile and management. The present study aims to develop a risk model to predict in-hospital death among contemporary AMI patients as soon as possible after admission. We included 23417 AMI patients from China Acute Myocardial Infarction (CAMI) registry from January 2013 to September 2014 and extracted relevant data. Patients were divided chronologically into a derivation cohort (nu2009=u200917563) to establish the multivariable logistic regression model and a validation cohort (nu2009=u20095854) to validate the risk score. Sixteen variables were identified as independent predictors of in-hospital death and were used to establish CAMI risk model and score: age, gender, body mass index, systolic blood pressure, heart rate, creatinine level, white blood cell count, serum potassium, serum sodium, ST-segment elevation on ECG, anterior wall involvement, cardiac arrest, Killip classification, medical history of hypertension, medical history of hyperlipidemia and smoking status. Area under curve value of CAMI risk model was 0.83 within the derivation cohort and 0.84 within the validation cohort. We developed and validated a risk score to predict in-hospital death risk among contemporary AMI patients.
Journal of the American College of Cardiology | 2018
Rui Fu; Chenxi Song; Jingang Yang; Kefei Dou; Dong Yin; Yang Y
Risk stratification is important among patients with non-ST segment elevation myocardial infarction (NSTEMI). We have previously developed and validated CAMI-NSTEMI score to predict in-hospital death among NSTEMI patients. However, some variables in the score may limit its application in clinical
Circulation | 2018
Rui Fu; Chenxi Song; Jingang Yang; Yan Wang; Bao Li; Haiyan Xu; Xiaojin Gao; Wei Li; Jia Liu; Kefei Dou; Yang Y
BACKGROUNDnAccurate risk stratification of non-ST segment elevation myocardial infarction (NSTEMI) patients is important due to great variability in mortality risk, but, to date, no prediction model has been available. The aim of this study was therefore to establish a risk score to predict in-hospital mortality risk in NSTEMI patients.Methodsu2004andu2004Results:We enrolled 5,775 patients diagnosed with NSTEMI from the China Acute Myocardial Infarction (CAMI) registry and extracted relevant data. Patients were divided into a derivation cohort (n=4,332) to develop a multivariable logistic regression risk prediction model, and a validation cohort (n=1,443) to test the model. Eleven variables independently predicted in-hospital mortality and were included in the model: age, body mass index, systolic blood pressure, Killip classification, cardiac arrest, electrocardiogram ST-segment depression, serum creatinine, white blood cells, smoking status, previous angina, and previous percutaneous coronary intervention. In the derivation cohort, the area under curve (AUC) for the CAMI-NSTEMI risk model and score was 0.81 and 0.79, respectively. In the validation cohort, the score also showed good discrimination (AUC, 0.86). Diagnostic performance of CAMI-NSTEMI risk score was superior to that of the GRACE risk score (AUC, 0.81 vs. 0.72; P<0.01).nnnCONCLUSIONSnThe CAMI-NSTEMI score is able to accurately predict the risk of in-hospital mortality in NSTEMI patients.
Catheterization and Cardiovascular Interventions | 2018
Yuan He; Dong Zhang; Dong Yin; Chen'gang Zhu; Lei Feng; Chenxi Song; Changzhe Chen; Bo Xu; Kefei Dou
This study sought to validate the V‐RESOLVE score system.
Catheterization and Cardiovascular Interventions | 2018
Guofeng Gao; Lei Feng; Dong Zhang; Chenxi Song; Chenggang Zhu; Weihua Song; Yanyan Zhao; Bo Xu; Dong Yin; Kefei Dou
The purpose of this study was to assess the prognostic significance of the residual SYNTAX score (rSS) in a large‐scale cohort of consecutive percutaneous coronary intervention (PCI) patients and to analyze whether residual proximal left anterior descending coronary artery (pLAD) lesions affect the prognosis of patients with same or similar rSS levels.
BMJ Open | 2017
Dong Zhang; Dong Yin; Chenxi Song; Chen'gang Zhu; Ajay J. Kirtane; Bo Xu; Kefei Dou
Introduction The intentional strategy (aggressive side branch (SB) protection strategy: elective two-stent strategy or jailed balloon technique) is thought to be associated with lower SB occlusion rate than conventional strategy (provisional two-stent strategy or jailed wire technique). However, most previous studies showed comparable outcomes between the two strategies, probably due to no risk classification of SB occlusion when enrolling patients. There is still no randomised trial compared the intentional and conventional strategy when treating bifurcation lesions with high risk of SB occlusion. We aim to investigate if intentional strategy is associated with significant reduction of SB occlusion rate compared with conventional strategy in high-risk patients. Methods and analysis The Conventional versus Intentional straTegy in patients with high Risk prEdiction of Side branch OccLusion in coronary bifurcation interVEntion (CIT-RESOLVE) is a prospective, randomised, single-blind, multicentre clinical trial comparing the rate of SB occlusion between the intentional strategy group and the conventional strategy group (positive control group) in a consecutive cohort of patients with high risk of side branch occlusion defined by V-RESOLVE score, which is a validated angiographic scoring system to evaluate the risk of SB occlusion in bifurcation intervention and used as one of the inclusion criteria to select patients with high SB occlusion risk (V-RESOLVE score ≥12). A total of 21 hospitals from 10 provinces in China participated in the present study. 566 patients meeting all inclusion/exclusion criteria are randomised to either intentional strategy group or conventional strategy group. The primary endpoint is SB occlusion (defined as any decrease in thrombolysis in myocardial infarction flow grade or absence of flow in SB after main vessel stenting). All patients are followed up for 12-month postdischarge. Ethics and dissemination The protocol has been approved by all local ethics committee. The ethics committee have approved the study protocol, evaluated the risk to benefit ratio, allowed operators with a minimum annual volume of 200 cases to participate in the percutaneous coronary intervention procedure and permitted them to perform both conventional and intentional strategies. Written informed consent would be acquired from all participants. The findings of the trial will be shared by the participant hospitals and disseminated through peer-reviewed journals. Trial registration number NCT02644434; Pre-results.
European Heart Journal | 2018
Chenxi Song; Rui Fu; Kefei Dou; Jingang Yang; Haiyan Xu; Xiaojin Gao; C Y Tian; Yang Y