scholarly journals The association between plasma furin and cardiovascular events after acute myocardial infarction

2020 ◽  
Author(s):  
Zhi-wei Liu ◽  
Qiang Ma ◽  
Jie Liu ◽  
Jing-Wei Li ◽  
Yun-Dai Chen
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Regression Analysis ◽  
Cox Regression ◽  
Critical Role ◽  
Cardiac Events ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Atheromatous Plaques ◽  
Key Enzyme

Abstract Background: Furin is the key enzyme to cleave pro-BNP and plays a critical role in the cardiovascular system through its involvement in the lipid metabolism, blood pressure and formation of atheromatous plaques. NT-proBNP and recently corin, which is also a key enzyme to cleave pro-BNP, have been approved as predictors of prognosis after acute myocardial infarction (AMI). We here conducted this cohort study to investigate the relationship between plasma furin and the prognosis outcome in patients after AMI. Methods: We enrolled 1100 AMI patients and measured their plasma furin concentration. The primary endpoint was the major adverse cardiac events (MACE), a composite of cardiovascular (CV) death, non-fatal myocardial infarction or non-fatal stroke. The association of plasma furin concentration with AMI outcomes was explored by using Kaplan–Meier curve and multivariate Cox regression analysis. Results: Our results showed that slight increase of mean cTNT in patients with higher furin concentration (P=0.016). Over a median follow-up of 31 months, multivariate Cox regression analysis suggested that plasma furin was not associated with MACE (HR: 1.01; 95% CI: 0.93-1.06; P=0.807) after adjustment for potential conventional risk factors. However, plasma furin was associated with non-fatal MI (HR: 1.09; 95% CI: 1.01-1.17; P=0.022) after fully adjustment. Subgroup analysis indicated no relationship between plasma furin and MACE in different subgroup populations.Conclusions: Our study demonstrated that plasma furin was not associated with risk of MACE and may not be used as a predictor of poor prognosis after AMI. But higher levels of plasma furin may be associated with higher risk of non-fatal MI.

scholarly journals The association between plasma furin and cardiovascular events after acute myocardial infarction

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhi-Wei Liu ◽  
Qiang Ma ◽  
Jie Liu ◽  
Jing-Wei Li ◽  
Yun-Dai Chen
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Regression Analysis ◽  
Cox Regression ◽  
Critical Role ◽  
Cardiac Events ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Atheromatous Plaques ◽  
Key Enzyme

Abstract Background Furin is the key enzyme involved in the cleavage of pro-BNP and plays a critical role in the cardiovascular system through its involvement in lipid metabolism, blood pressure regulation and the formation of atheromatous plaques. NT-proBNP and recently, corin, also a key enzyme in the cleavage of pro-BNP, have been accepted as predictors of prognosis after acute myocardial infarction (AMI). This cohort study was conducted to investigate the relationship between plasma furin and the prognostic outcomes of AMI patients. Methods In total, 1100 AMI patients were enrolled in the study and their plasma furin concentrations were measured. The primary endpoint was major adverse cardiac events (MACE), a composite of cardiovascular (CV) death, non-fatal myocardial infarction (MI) and non-fatal stroke. The associations between plasma furin concentration and AMI outcomes were explored using Kaplan–Meier curves and multivariate Cox regression analysis. Results The results showed a slight increase in mean cTNT in patients with higher furin concentrations (P = 0.016). Over a median follow-up of 31 months, multivariate Cox regression analysis indicated that plasma furin was not significantly associated with MACE (HR 1.01; 95% CI 0.93–1.06; P = 0.807) after adjustment for potential conventional risk factors. However, plasma furin was associated with non-fatal MI (HR 1.09; 95% CI 1.01–1.17; P = 0.022) in the fully adjusted model. Subgroup analyses indicated no relationship between plasma furin and MACE in different subgroups. Conclusions This study found no association between plasma furin and risk of MACE. Thus, plasma furin may not be a useful predictor of poor prognosis after AMI. However, higher levels of plasma furin may be associated with a higher risk of recurrent non-fatal MI.

scholarly journals The Association Between Plasma Furin and Cardiovascular Events After Acute Myocardial Infarction

2020 ◽  
Author(s):  
Zhi-wei Liu ◽  
Qiang Ma ◽  
Jie Liu ◽  
Jing-Wei Li ◽  
Yun-Dai Chen
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Regression Analysis ◽  
Cox Regression ◽  
Critical Role ◽  
Cardiac Events ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Atheromatous Plaques ◽  
Key Enzyme

Abstract Background: Furin is the key enzyme to cleave pro-BNP, and plays a critical role in the cardiovascular system through its involvement in the lipid metabolism, blood pressure and formation of atheromatous plaques. NT-proBNP and recently corin, which is also a key enzyme to cleave pro-BNP, have been approved as predictors of prognosis after acute myocardial infarction (AMI). We here conducted this prospective cohort study to investigate the relationship between plasma furin and the prognosis outcome in patients after AMI. Methods: We enrolled 1100 AMI patients and measured their plasma furin concentration. The primary endpoint was the major adverse cardiac events (MACE), a composite of cardiovascular (CV) death, non-fatal myocardial infarction or non-fatal stroke. The association of plasma furin concentration with AMI outcomes was explored by using Kaplan–Meier curve and multivariate Cox regression analysis. Results: Our results showed that slight increase of mean cTNT in patients with higher furin concentration (P=0.016). Over a median follow-up of 31 months, multivariate Cox regression analysis suggested that plasma furin was not associated with MACE (HR: 1.01; 95% CI: 0.93-1.06; P=0.807) after adjustment for potential conventional risk factors. However, plasma furin was associated with non-fatal MI (HR: 1.09; 95% CI: 1.01-1.17; P=0.022) after fully adjustment. Subgroup analysis indicated no relationship between plasma furin and MACE in different subgroup populations.Conclusions: Our study demonstrated that plasma furin was not associated with risk of MACE and may not be used as a predictor of poor prognosis after AMI. But higher levels of plasma furin may be associated with higher risk of non-fatal MI, future studies are needed to verify this.

scholarly journals Evaluation of pulse wave velocity for predicting major advanced cardiovascular events in patients with chronic myocardial infarction

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
Z Meiszterics ◽  
T Simor ◽  
R J Van Der Geest ◽  
N Farkas ◽  
B Gaszner
Keyword(s):  
Myocardial Infarction ◽  
Regression Analysis ◽  
Cardiovascular Events ◽  
Pulse Wave ◽  
Cox Regression ◽  
Event Free Survival ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Kaplan Meier

Abstract Introduction Increased aortic pulse wave velocity (PWV) as a strong predictor of major advanced cardiovascular events (MACE) has a prognostic relevance in patients after myocardial infarction (MI). Several non-invasive methods have been proposed for the assessment of arterial stiffness, but the PWV values show significant differences according to the applied techniques. Cardiac magnetic resonance imaging (CMR) provides an accurate method to measure PWV and infarct size in patients after MI. Purpose Calculated PWV values of CMR based phase-contrast (PC) and invasively validated oscillometric methods were compared in this prospective observational study. We aimed to evaluate the cut-off PWV values for each method, while MACE predicted and validated the prognostic value of high PWV in post-infarcted patients in a 6-year follow-up. Methods 3D aortic angiography and PC velocity imaging was performed using a Siemens Avanto 1,5 T CMR device. Oscillometric based Arteriograph (AG) was used to assess PWV using direct body surface distance measurements. The comparison between the two techniques was tested. Patients received follow-up for MACE comprising all-cause death, non-fatal MI, ischemic stroke, hospitalization for heart failure and coronary revascularization. Event-free survival was analysed using Kaplan-Meier plots and log-rank tests. Univariable and multivariable Cox regression analysis was performed to identify outcome predictors. Results 75 patients (56 male, 19 female, average age: 56±13 years) referred for CMR were investigated, of whom 50 had coronary artery disease (CAD) including 35 patients with previous MI developing ischaemic late gadolinium enhancement (LGE) pattern. AG and CMR derived PWV values were significantly correlated (rho: 0,343, p<0,05), however absolute PWV values were significantly higher for AG (median (IQR): 10,4 (9,2–11,9) vs. 6,44 (5,64–7,5); p<0,001). Bland Altman analysis showed an acceptable agreement with a mean difference of 3,7 m/s between the two measures. In patients with CAD significantly (p<0,01) higher PWV values were measured by AG and CMR, respectively. During the median follow-up of 6 years, totally 69 MACE events occurred. Optimized PWV cut-off values for MACE prediction were calculated (CMR: 6,47 m/s; AG: 9,625 m/s) by receiver operating characteristic analysis. Kaplan-Meier analysis in both methods showed a significantly lower event-free survival in case of high PWV (p<0,01, respectively). Cox regression analysis revealed PWV for both methods as a predictor of MACE (PWV CMR hazard ratio (HR): 2,6 (confidence interval (CI) 1,3–5,1), PWV AG HR: 3,1 (CI: 1,3–7,1), p<0,005, respectively). Conclusions Our study showed good agreement between the AG and CMR methods for PWV calculation. Both techniques are feasible for MACE prediction in postinfarcted patients. However, different AG and CMR PWV cut-off values were calculated to improve risk stratification. FUNDunding Acknowledgement Type of funding sources: None. Agreement between the two methods Kaplan-Meier event curves for MACE

scholarly journals Low Expression of RILPL2 Predicts Poor Prognosis and Correlates With Immune Infiltration in Endometrial Carcinoma

2021 ◽  
Vol 8 ◽  
Author(s):  
Jinhui Liu ◽  
Mengting Xu ◽  
Zhipeng Wu ◽  
Yan Yang ◽  
Shuning Yuan ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Endometrial Carcinoma ◽  
Immune Cell ◽  
Cox Regression ◽  
Critical Role ◽  
Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Promising Target

Increasing numbers of biomarkers have been identified in various cancers. However, biomarkers associated with endometrial carcinoma (EC) remain largely to be explored. In the current research, we downloaded the RNA-seq data and corresponding clinicopathological features from the Cancer Genome Atlas (TCGA) database. We conducted an expression analysis, which resulted in RILPL2 as a novel diagnostic biomarker in EC. The dysregulation of RILPL2 in EC was also validated in multiple datasets. The correlations between clinical features and RILPL2 expression were assessed by logistic regression analysis. Then, Kaplan-Meier analysis, univariate and multivariate Cox regression analysis were performed to estimate prognostic values of RILPL2 in the TCGA cohort, which revealed that increased level of RILPL2 was remarkably associated with better prognosis and could act as an independent prognostic biomarker in patients with EC. Moreover, correlation analysis of RILPL2 and tumor-infiltrating immune cells (TIICs) indicated that RILPL2 might play a critical role in regulating immune cell infiltration in EC and is related to immune response. Besides, high methylation level was a significant cause of low RILPL2 expression in EC. Subsequently, weighted gene co-expression network analysis (WGCNA) and enrichment analysis were conducted to explore the RILPL2-involved underlying oncogenic mechanisms, and the results indicated that RILPL2 mainly regulated cell cycle. In conclusion, our findings provided evidence that downregulation of RILPL2 in EC is an indicator of adverse prognosis and RILPL2 may act as a promising target for the therapeutics of EC.

Lipids, myocardial infarction and ischaemic stroke in patients with rheumatoid arthritis in the Apolipoprotein-related Mortality RISk (AMORIS) Study

2010 ◽  
Vol 69 (11) ◽  
pp. 1996-2001 ◽  
Author(s):  
A G Semb ◽  
T K Kvien ◽  
A H Aastveit ◽  
I Jungner ◽  
T R Pedersen ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Regression Analysis ◽  
Ischaemic Stroke ◽  
Mortality Risk ◽  
Predictive Value ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Related Mortality

ObjectivesTo examine the rates of acute myocardial infarction (AMI) and ischaemic stroke (IS) and to examine the predictive value of total cholesterol (TC) and triglycerides (TG) for AMI and IS in patients with rheumatoid arthritis (RA) and people without RA.MethodsIn the Apolipoprotein MOrtality RISk (AMORIS) Study 480 406 people (including 1779 with RA, of whom 214 had an AMI and 165 an IS) were followed for 11.8 (range 7–17) years. Cox regression analysis was used to calculate HR per SD increase in TC or TG with 95% CI. All values were adjusted for age, diabetes and hypertension.ResultsThe levels of TC and TG were significantly lower in patients with RA than in people without RA. Despite this, the rate of AMI and IS per 1000 years was at least 1.6 times higher in RA than non-RA. TC was nearly significantly predictive for AMI (HR/SD 1.13 (95% CI 0.99 to 1.29), p=0.07) and significantly predictive for future IS in RA (HR/SD 1.20 (95% CI 1.03 to 1.40), p=0.02). TG had no relationship to development of AMI (1.07, 0.94 to 1.21, p=0.29), but was weakly related to IS (1.13, 0.99 to 1.27, p=0.06). In contrast, both TC and TG were significant predictors of AMI and IS in people without RA.ConclusionsPatients with RA had 1.6 times higher rate of AMI and IS than people without RA. TC and TG were significant predictors of AMI and IS in people without RA, whereas the predictive value in RA was not consistent.

scholarly journals Incidence, predictors, and prognostic impact of recurrent acute myocardial infarction in China

Heart ◽  
2020 ◽  
pp. heartjnl-2020-317165
Author(s):  
Jiali Song ◽  
Karthik Murugiah ◽  
Shuang Hu ◽  
Yan Gao ◽  
Xi Li ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Cox Regression ◽  
Early Period ◽  
Coronary Intervention ◽  
Rank Test ◽  
Prognostic Impact ◽  
Cardiac Events ◽  
Kaplan Meier ◽  
Multivariable Modelling

BackgroundIncidence, predictors, and prognostic impact of recurrent acute myocardial infarction (AMI) after initial AMI remain poorly understood. Data on recurrent AMI in China is unknown.MethodsUsing the China Patient-centred Evaluative Assessment of Cardiac Events (PEACE)-Prospective AMI Study, we studied 3387 patients admitted to 53 hospitals for AMI and discharged alive. The association of recurrent AMI with 1-year mortality was evaluated using time-dependent Cox regression. Recurrent AMI events were classified as early (1–30 days), late (31–180 days), and very late (181–365 days). Their impacts on 1-year mortality were estimated by Kaplan-Meier methodology and compared by the log-rank test. Multivariable modelling was used to identify factors associated with recurrent AMI.ResultsThe mean (SD) age was 60.7 (11.9) years and 783 (23.1%) were women. The observed 1-year recurrent AMI rate was 2.5% (95% CI 2.00 to 3.07) with 35.7% events occurring within the first 30 days. Recurrent AMI was associated with 1-year mortality with an adjusted HR of 25.42 (95% CI 15.27 to 42.34). Early recurrent AMI was associated with the highest 1-year mortality rate of 53.3% (log-rank p<0.001). Predictors of recurrent AMI included age 75–84, in-hospital percutaneous coronary intervention, heart rate >90 min/beats at initial admission, renal dysfunction, and not being prescribed any of guideline-based medications at discharge.ConclusionsOne-third of recurrent AMI events occurred early. Recurrent AMI is strongly associated with 1-year mortality, particularly if early. Heightened surveillance during this early period and improving prescription of recommended discharge medications may reduce recurrent AMI in China.

scholarly journals Serum Chemerin Predicts the Prognosis of Patients With Dilated Cardiomyopathy

2020 ◽  
Vol 23 (3) ◽  
pp. E276-E280
Author(s):  
Dan Chen ◽  
Juan Wang ◽  
Jianglin Fu
Keyword(s):  
Regression Analysis ◽  
Dilated Cardiomyopathy ◽  
Cox Regression ◽  
Survival Rates ◽  
Prognostic Indicator ◽  
Rank Test ◽  
Cardiac Events ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Potential Risk Factors

Background: Chemerin is a newly discovered adipokine, which has been reported to be associated with the presence of dilated cardiomyopathy (DCM). The present study aims to evaluate the prognostic value of serum chemerin in patients with DCM. Methods: A total of 214 patients with DCM was recruited and divided into 4 groups, according to quartiles of chemerin levels. Kaplan–Meier analysis was conducted to compare the survival rates among patients with different levels of chemerin, using the log-rank test. Multivariate Cox regression analysis was performed to assess the association of serum chemerin levels and occurrence of major adverse cardiac events (MACEs), including cardiac mortality, stroke and myocardial infarction. Results: The Kaplan-Meier survival analysis indicated that patients with higher concentration of chemerin had shorter event-free survivals for MACEs (P < .01). Cox regression analysis showed that chemerin was a significant predictor of MACEs (Quartile 3 versus Quartile 1: HR=1.79, 95% CI: 1.31-2.79; Quartile 4 versus Quartile 1: HR=2.87, 95% CI: 1.79-4.25) and all-cause death (Quartile 3 versus Quartile 1: HR=1.56, 95% CI: 1.20-2.42; Quartile 4 versus Quartile 1: HR=2.28, 95% CI: 1.52-3.96) after adjusting for potential risk factors. Conclusion: Serum chemerin should be a potential prognostic indicator in patients with DCM.

scholarly journals Low Expression of RILPL2 Predicts Poor Prognosis and Correlates with Immune Infiltration in Endometrial Carcinoma

2021 ◽  
Author(s):  
Jinihui Liu ◽  
Xu Mengtimg ◽  
Zhipemg Wu ◽  
Jianqiamg Liamg ◽  
Hongjun Zhu
Keyword(s):  
Regression Analysis ◽  
Endometrial Carcinoma ◽  
Immune Cell ◽  
Cox Regression ◽  
Critical Role ◽  
Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Low Expression

Abstract Increasing numbers of biomarkers have been identified for various cancers. However, biomarkers associated with endometrial carcinoma (EC) remain largely to be explored. In the current research, we downloaded the RNA-seq data and corresponding clinicopathological features from the Cancer Genome Atlas (TCGA) database. We conducted expression analysis, which resulted in identification of RILPL2 as a novel diagnostic biomarker in EC. The dysregulation of RILPL2 in EC was also validated in multiple datasets. The correlations between clinical features and RILPL2 expression were assessed by logistic regression analysis. Then, Kaplan-Meier analysis, univariate, and multivariate Cox regression analysis were performed to estimate prgnostic values of RILPL2 in the TCGA cohort, which unveiled that increased level of RILPL2 was remarkably associated with better prognosis and could be severd as an independent prognostic biomarker in patients with EC. Moreover, correlation analysis of RILPL2 and tumor-infiltrating immune cells (TIICs) indicated that RILPL2 might play a critical role in regulating immune cell infiltration in EC and is related to immune response. Besides, high methylation level was a significant cause for RILPL2 low expression in EC. Subsequently, weighted gene co-expression network analysis (WGCNA) and enrichment analysis were conducted to explore the RILPL2-involved underlyingl oncogenic mechanisms, and the results indicated that RILPL2 mainly regulated cell cycle. In conclusion, our findings provided evidence that downregulation of RILPL2 in EC is an indicator of adverse prognosis and RILPL2 may act as a promising target for the theraputics of EC.

scholarly journals RISK FACTORS ASSOCIATED WITH THE OCCURRENCE OF EARLY COMPLICATIONS OF ACUTE MYOCARDIAL INFARCTION AFTER CARDIO-INTERVENTION TREATMENT

2020 ◽  
Vol 73 (6) ◽  
pp. 1245-1251
Author(s):  
Iryna A. Holovanova ◽  
Grygori A. Oksak ◽  
Iryna M. Tkachenko ◽  
Maxim V. Khorosh ◽  
Mariia M. Tovstiak ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Cox Regression ◽  
Risk Indicators ◽  
Interventional Treatment ◽  
Early Complications ◽  
Cox Regression Analysis ◽  
Intervention Treatment

The aim of our study was to identify the main risk factors for the occurrence of early complications of acute myocardial infarction after cardio-interventional treatment and to evaluate prognostic risk indicators. Materials and methods: Risk factors of myocardial infarction were determined by copying the case history data and calculating on their basis of the odds ratio and ±95% confidence interval. After it, we made a prediction of the risk of early complications of AMI with cardiovascular intervention by using a Cox regression that took into account the patient’s transportation time by ambulance. Results: Thus, the factors that increase the chances of their occurrence were: summer time of year; recurrent myocardial infarction of another specified localization (I122.8); the relevance of the established STEMI diagnosis; diabetes mellitus; renal pathology; smoking; high rate of BMI. Factors that reduce the chances of their occurrence: men gender – in 35%; the age over of 70 – by 50%; the timely arrival of an emergency medical team – by 55%. The factors that increase the chances of their occurrence were: age over 70 years; subsequent myocardial infarction of unspecified site; diabetes mellitus. Using of a Cox regression analysis, it was proved that the cumulative risk of early complications of AMI with cardio-intervention treatment increased from the 10th minute of ambulance arrival at place, when ECG diagnosis (STEMI), presence of diabetes mellitus, smoking and high BMI. Conclusions: As a result of the conducted research, the risk factors for early complications of AIM with cardio-interventional treatment were identified.

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