Usefulness of late diastolic mitral annular velocity for predicting cardiac events in acute coronary syndrome patients with dilated left atrium

Choonpa Igaku ◽  
2010 ◽  
Vol 37 (5) ◽  
pp. 577-585
Author(s):  
Hideaki MATSUURA ◽  
Akira YAMADA ◽  
Kunihiko SUGIMOTO ◽  
Yoshimi OHIRA ◽  
Ayako TAKAHASHI ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Left Atrium ◽  
Cardiac Events ◽  
Coronary Syndrome ◽  
Mitral Annular Velocity

Abstract 2602: Elevated Serum Neopterin Levels and Adverse Cardiac Events in Patients with Non-ST-Segment Elevation Acute Coronary Syndrome

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Juan Carlos Kaski ◽  
Luciano Consuegra-Sanchez ◽  
Daniel J. Fernandez-Berges ◽  
Jose M Cruz-Fernandez ◽  
Xavier Garcia-Moll ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Unstable Angina ◽  
Elevated Serum ◽  
Cardiac Events ◽  
St Segment Elevation ◽  
Coronary Syndrome ◽  
St Segment ◽  
Adverse Cardiac Events ◽  
Elevation Acute Coronary Syndrome

Objectives: We sought to assess whether plasma neopterin predicts adverse clinical outcomes in patients with NSTEACS. Background: Circulating C reactive protein (CRP), a marker of inflammation, correlates with events in patients with non-ST-segment elevation acute coronary syndrome (NSTEACS). High neopterin levels - a marker of macrophage activation - predict cardiovascular events in stable angina patients but their prognostic role in NSTEACS has not been systematically evaluated. Methods: We prospectively assessed 397 patients (74 % men) admitted with NSTEACS: 169 (42.5%) had unstable angina and 228 (57.5%) non-ST-segment elevation myocardial infarction (NSTEMI). Blood samples for neopterin and CRP assessment were obtained at admission. TIMI risk score was also assessed among other clinical and biochemical variables. The study end point was the composite of cardiac death, acute myocardial infarction and recurrent angina at 180-days. Results: Baseline neopterin concentrations (nmol/L) were similar in unstable angina and NSTEMI patients (8.3 [6.5–10.6] vs 8.0 [6.2–11.1], p = 0.54). Fifty-nine patients (14.9 %) had events during follow-up (highest third (%) 21.5 vs 1 st and 2 nd thirds 11.5, log rank 7.341, p = 0.007). On multivariable hazard Cox regression, only neopterin (highest vs 1 st and 2 nd thirds, HR 2.15, 95 % CI [1.21–3.81]) was independently associated with the combined endpoint.CRP levels, however, were not significantly different in patients with events compared to those without events (adjusted HR = 0.98, p = 0.89, 95% CI 0.80 –1.21). Conclusion: Increased neopterin levels are an independent predictor of 180-day adverse cardiac events in patients with NSTEACS.

Diagnostic and prognostic impact of circulating microRNA-208b and microRNA-499 in patients with acute coronary syndrome

2020 ◽  
Vol 14 (2) ◽  
pp. 87-95
Author(s):  
Wei Wang ◽  
Tai Li ◽  
Lei Gao ◽  
Yang Li ◽  
Ying Sun ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Major Adverse Cardiac Events ◽  
Circulating Microrna ◽  
Prognostic Impact ◽  
Cardiac Events ◽  
Primary Analysis ◽  
Coronary Syndrome ◽  
Adverse Cardiac Events

Aim: This study aimed to investigate the correlation between the expression of circulating miR-208b and miR-499 and acute coronary syndrome (ACS) patients. Materials & methods: A total of 160 consecutive patients with ACS and 48 healthy control subjects were enrolled for primary analysis. The ACS patients (n = 160) were followed up for 6 months for further analysis regarding major adverse cardiac events. Results: Area under the curve values of miR-208b and miR-499 for predicting ACS were 0.910 and 0.851 (p < 0.001, respectively). Cox proportional hazards regression analysis revealed that miR-208b but not miR-499 was an independent predictor of major adverse cardiac events. Conclusion: Circulating miR-208b and miR-499 could be considered as diagnostic or prognostic biomarkers for patients with ACS.

scholarly journals Factors influencing physician risk estimates for acute cardiac events in emergency patients with suspected acute coronary syndrome

2019 ◽  
Vol 37 (1) ◽  
pp. 2-7
Author(s):  
Jaimi H Greenslade ◽  
Nicolas Sieben ◽  
William A Parsonage ◽  
Thomas Knowlman ◽  
Lorcan Ruane ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Coronary Syndrome ◽  
Chest Pain ◽  
Linear Regression Analysis ◽  
High Sensitivity ◽  
Pretest Probability ◽  
Emergency Physicians ◽  
Cardiac Events ◽  
Coronary Syndrome ◽  
Risk Estimates

BackgroundEmergency physicians frequently assess risk of acute cardiac events (ACEs) in patients with undifferentiated chest pain. Such estimates have been shown to have moderate to high sensitivity for ACE but are conservative. Little is known about the factors implicitly used by physicians to determine the pretest probability of risk. This study sought to identify the accuracy of physician risk estimates for ACE in patients presenting to the ED with chest pain and to identify the demographic and clinical information emergency physicians use in their determination of patient risk.MethodsThis study used data from two prospective studies of consenting adult patients presenting to the ED with symptoms of possible acute coronary syndrome. ED physicians estimated the pretest probability of ACE. Multiple linear regression analysis was used to identify predictors of physician risk estimates. Logistic regression was used to determine whether there was a correlation between physicians’ estimated risk and ACE.ResultsIncreasing age, male sex, abnormal ECG features, heavy/crushing chest pain and risk factors were correlated with physician risk estimates. Physician risk estimates were consistently found to be higher than the expected proportion of ACE from the sampled population.ConclusionPhysicians systematically overestimate ACE risk. A range of factors are associated with physician risk estimates. These include factors strongly predictive of ACE, such as age and ECG characteristics. They also include other factors that have been shown to be unreliable predictors of ACE in an ED setting, such as typicality of pain and risk factors.

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