Coronary Events in the Pregnant Patient: Who is at Risk and How Best to Manage?

2021 ◽  
Author(s):  
Rohit Samuel ◽  
Mesfer Alfadhel ◽  
Cameron McAlister ◽  
Thomas Nestelberger ◽  
Jacqueline Saw
Keyword(s):  
At Risk ◽  
Pregnant Patient ◽  
Coronary Events

scholarly journals Automated Volumetric Intravascular Plaque Classification Using Optical Coherence Tomography

AI Magazine ◽  
2017 ◽  
Vol 38 (1) ◽  
pp. 61-72 ◽  
Author(s):  
Ronny Shalev ◽  
Daisuke Nakamura ◽  
Setsu Nishino ◽  
Andrew Rollins ◽  
Hiram Bezerra ◽  
...  
Keyword(s):  
At Risk ◽  
Optical Coherence Tomography ◽  
Human Error ◽  
3D Visualization ◽  
Optical Coherence ◽  
Fibrous Cap ◽  
Plaque Classification ◽  
Coronary Events ◽  
Intravascular Optical Coherence Tomography ◽  
Interactive 3D

An estimated 17.5 million people died from a cardiovascular disease in 2012, representing 31 percent of all global deaths. Most acute coronary events result from rupture of the protective fibrous cap overlying an atherosclerotic plaque. The task of early identification of plaque types that can potentially rupture is, therefore, of great importance. The state-of-the-art approach to imaging blood vessels is intravascular optical coherence tomography (IVOCT). However, currently, this is an offline approach where the images are first collected and then manually analyzed an image at a time to identify regions at risk of thrombosis. This process is extremely laborious, time consuming and prone to human error. We are building a system that, when complete, will provide interactive 3D visualization of a blood vessel as an IVOCT is in progress. The visualization will highlight different plaque types and enable quick identification of regions at risk for thrombosis. In this paper, we describe our approach, focusing on machine learning methods that are a key enabling technology. Our empirical results using real OCT data show that our approach can identify different plaque types efficiently with high accuracy across multiple patients.

scholarly journals Exercise responsive micro ribonucleic acids identify patients with coronary artery disease

2018 ◽  
Vol 26 (4) ◽  
pp. 348-355 ◽  
Author(s):  
Barbara Mayr ◽  
Edith E Müller ◽  
Christine Schäfer ◽  
Silke Droese ◽  
Hannelore Breitenbach-Koller ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
At Risk ◽  
Coronary Artery ◽  
Healthy Subjects ◽  
Distinct Pattern ◽  
Cardiac Events ◽  
Ribonucleic Acids ◽  
Before And After ◽  
Coronary Events ◽  
Artery Disease

Aims Exercise is a trigger for acute coronary events especially in the untrained. Identifying subjects at risk remains a challenge. We set out to assess whether a distinct pattern of micro ribonucleic acids (miRNAs) expressed in response to an acute bout of all-out exercise might exist that would allow discrimination between health and disease. Methods Twenty healthy subjects and 20 patients with coronary artery disease (CAD) performed an all-out cycle ergometry. Total RNA was extracted from blood drawn before and after exercise. Each blood sample was analysed for 187 target miRNAs by quantitative reverse transcription polymerase chain reaction. Results At baseline, 18 miRNAs allowed discrimination between healthy subjects and CAD patients. In response to an acute all-out exercise in healthy subjects 51 miRNAs and in CAD patients 60 miRNAs were significantly modulated (all p < 0.05). Using logistic regression analysis, a unique pattern of pre-exercise miR-150-5p, post-exercise miR-101-3p, miR-141-3p and miR-200b-3p together with maximal oxygen uptake and maximal power corrected for bodyweight allowed discrimination between healthy subjects and CAD patients with an accuracy of 92.5%. Conclusion In this most comprehensive analysis of exercise effects on circulating miRNAs to date we demonstrate for the first time that a distinct combination of miRNAs together with variables of exercise capacity allow robust discrimination between healthy subjects and CAD patients. We postulate that miRNAs may eventually serve as biomarkers to identify patients with CAD and possibly even those at risk of exercise-induced cardiac events.

Endurance training reduces circulating inflammatory markers in persons at risk of coronary events: Impact on plaque stabilization?

2006 ◽  
Vol 186 (1) ◽  
pp. 160-165 ◽  
Author(s):  
Alexander Niessner ◽  
Bernhard Richter ◽  
Martina Penka ◽  
Sabine Steiner ◽  
Barbara Strasser ◽  
...  
Keyword(s):  
At Risk ◽  
Endurance Training ◽  
Inflammatory Markers ◽  
Plaque Stabilization ◽  
Coronary Events ◽  
Circulating Inflammatory Markers

Phonological Awareness Screening to Identify At-Risk Readers

1998 ◽  
Vol 29 (2) ◽  
pp. 109-116 ◽  
Author(s):  
Margie Gilbertson ◽  
Ronald K. Bramlett
Keyword(s):  
At Risk ◽  
Phonological Awareness ◽  
Reading Ability ◽  
At Risk Students ◽  
First Grade ◽  
Receptive Vocabulary ◽  
Standardized Assessments ◽  
Cutoff Score ◽  
Invented Spelling ◽  
Reading Measures

The purpose of this study was to investigate informal phonological awareness measures as predictors of first-grade broad reading ability. Subjects were 91 former Head Start students who were administered standardized assessments of cognitive ability and receptive vocabulary, and informal phonological awareness measures during kindergarten and early first grade. Regression analyses indicated that three phonological awareness tasks, Invented Spelling, Categorization, and Blending, were the most predictive of standardized reading measures obtained at the end of first grade. Discriminant analyses indicated that these three phonological awareness tasks correctly identified at-risk students with 92% accuracy. Clinical use of a cutoff score for these measures is suggested, along with general intervention guidelines for practicing clinicians.

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