scholarly journals Racial and gender disparities among patients with Takotsubo syndrome

2018 ◽  
Vol 42 (1) ◽  
pp. 19-19 ◽  
Author(s):  
Nauman Khalid ◽  
Sarah A. Ahmad ◽  
Evan Shlofmitz ◽  
Lovely Chhabra
Keyword(s):  
Gender Disparities ◽  
Takotsubo Syndrome ◽  
And Gender

scholarly journals Reply to “racial and gender disparities among patients with Takotsubo syndrome”

2018 ◽  
Vol 42 (1) ◽  
pp. 20-20
Author(s):  
Alejandro Lemor ◽  
Seyed H. H. Dehkordi
Keyword(s):  
Gender Disparities ◽  
Takotsubo Syndrome ◽  
And Gender

Racial/ethnic and gender disparities in anger management therapy as a probation condition.

2020 ◽  
Vol 44 (1) ◽  
pp. 88-96 ◽  
Author(s):  
Cassandra A. Bailey ◽  
Betsy E. Galicia ◽  
Kalin Z. Salinas ◽  
Melissa Briones ◽  
Sheila Hugo ◽  
...  
Keyword(s):  
Anger Management ◽  
Gender Disparities ◽  
And Gender ◽  
Racial Ethnic

scholarly journals Partnership Instability, School Readiness, and Gender Disparities

2011 ◽  
Vol 84 (3) ◽  
pp. 246-259 ◽  
Author(s):  
Carey E. Cooper ◽  
Cynthia A. Osborne ◽  
Audrey N. Beck ◽  
Sara S. McLanahan
Keyword(s):  
School Readiness ◽  
Gender Disparities ◽  
And Gender

584-P: Diabetes Distress, Depressive Symptoms, and Gender Disparities in Glycemic Control among African Americans with Type 2 Diabetes

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 584-P
Author(s):  
JACLYNN M. HAWKINS ◽  
NIKOLAS J. KOSCIELNIAK ◽  
ROBIN NWANKWO ◽  
MARTHA M. FUNNELL ◽  
KATHERINE A. KLOSS ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Depressive Symptoms ◽  
African Americans ◽  
Glycemic Control ◽  
Gender Disparities ◽  
Diabetes Distress ◽  
And Gender

scholarly journals Factors associated with sexual orientation and gender disparities in chronic pain among U.S. adolescents and young adults

2015 ◽  
Vol 2 ◽  
pp. 765-772 ◽  
Author(s):  
Sabra L. Katz-Wise ◽  
Bethany Everett ◽  
Emily A. Scherer ◽  
Holly Gooding ◽  
Carly E. Milliren ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Young Adults ◽  
Sexual Orientation ◽  
Gender Disparities ◽  
Adolescents And Young Adults ◽  
Factors Associated ◽  
And Gender

Abstract 15414: Diagnostic Performance of Deep Learning on 12-lead Electrocardiography to Distinguish Takotsubo Syndrome and Acute Anterior Myocardial Infarction

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Masato Shimizu ◽  
shummo cho ◽  
Yoshiki Misu ◽  
Mari Ohmori ◽  
Ryo Tateishi ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Deep Learning ◽  
Diagnostic Performance ◽  
P Wave ◽  
Takotsubo Syndrome ◽  
Anterior Myocardial Infarction ◽  
Color Mapping ◽  
Lead Avr ◽  
The Difference ◽  
And Gender

Introduction: Takotsubo syndrome (TTS) and acute anterior myocardial infarction (ant-AMI) show very similar 12-lead electrocardiography (ECG) featured at onset, and it is often difficult to distinguish them without cardiac catheterization. The difference of ECG between them was studied, but the diagnostic performance of machine learning (deep learning) for them had not been investigated. Hypothesis: Deep learning on 12-leads ECG has high diagnostic performance to diagnose TTS and ant-AMI at onset. Methods: Consecutive 50 patients of TTS were one-to-one matched to ant-AMI randomly by their age and gender, and total 100 patients were enrolled. No sinus rhythm patients were excluded. All ECGs were divided into each 12-lead, and 5 heart beats from one lead were extracted. For each lead, 250 ECG waves of TTS/AMI were sampled as 24bit bitmap image, and prediction model construction by convolutional neural network (CNN: transfer learning, using VGG16 architecture) underwent to distinguish the two diseases in each lead. Next, gradient weighted class activation color mapping (GradCam) was performed to detect the degree and position of convolutional importance in the leads. Results: Lead aVR (mean accuracy 0.748), I (0.733), and V1 (0.678) were the top 3 leads with high accuracy. In aVR lead, GradCam showed strong convolution of negative T wave in TTS, and sharp R wave in ant-AMI. In I lead, it spotlighted several parts of ECG wave in ant-AMI. However in TTS, whole shape of the wave, P wave onset, and negative T were invertedly convoluted in TTS. Conclusions: Deep learning was a powerful tool to distinguish TTS and ant-AMI at onset, and GradCam method gave us new insight of the difference on ECG between the two diseases.

scholarly journals An Emerging Cardiovascular Disease: Takotsubo Syndrome

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Sara Moscatelli ◽  
Fabrizio Montecucco ◽  
Federico Carbone ◽  
Alberto Valbusa ◽  
Laura Massobrio ◽  
...  
Keyword(s):  
Randomized Clinical Trials ◽  
Myocardial Dysfunction ◽  
Obstructive Coronary Artery Disease ◽  
Preliminary Evidence ◽  
Clinical Findings ◽  
Takotsubo Syndrome ◽  
Term Survival ◽  
Life Threatening ◽  
Artery Disease ◽  
And Gender

Takotsubo syndrome (TTS) is a recently identified cardiac disease, which is far from being completely known. The aims of this narrative review are to provide a better understanding of the pathophysiological features of TTS and to update clinical findings in order to improve the management of subjects affected by this syndrome (according to the most recent consensus papers issued by the international scientific societies). We based our search on the material obtained via PubMed up to April 2019. The terms used were “Takotsubo Syndrome and Takotsubo cardiomyopathy” in combination with “heart failure, pathophysiology, complications, diagnosis, and treatment.” TTS is a reversible form of ventricular dysfunction usually characterized by akinesia of the apex in the absence of obstructive coronary artery disease. In its initial phase, TTS may be indistinguishable from AMI and is usually triggered by a sudden emotional/physical stressor which abruptly increases catecholamine levels. However, the mechanisms by which catecholamines or other unidentified molecules can cause myocardial dysfunction is unknown. In-hospital stay may be hampered by various life-threatening complications, while data on long-term survival remain scarce and unclear. Furthermore, TTS may sometimes recur. We believe that TTS is clearly a much more complex condition than previously thought. Much remains to be discovered about its pathophysiologic mechanisms, the role of the link between the heart and brain and that of triggering factors and gender, and the reasons why this syndrome displays different phenotypes and sometimes recurs. Undoubtedly, preliminary evidence from pathophysiological studies (mainly genetic studies) has shown promising advances. However, prospective randomized clinical trials are still needed in order to identify and to tailor the best medical treatments for TTS patients.

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