Correlations of left ventricular systolic function indices with aortic root systolic excursion (ARSE): A cross-sectional echocardiographic study

Autor: Chris Nadege Nganou, Aude Laetitia Ndoadoumgue, Samuel Kingue, Jean Jacques Noubiap, Ulrich Flore Nyaga, Ahmadou Musa Jingi, Ba Hamadou, Liliane Mfeukeu-Kuate, Narcisse Assene Ateba, Jerome Boombhi, Alain Menanga
Rok vydání: 2018
Předmět:
Male
Medical Doctors
Health Care Providers
Aortic root
lcsh:Medicine
Blood Pressure
Systolic function
Cardiovascular Medicine
030204 cardiovascular system & hematology
Vascular Medicine
Ventricular Function
Left

Diagnostic Radiology
0302 clinical medicine
Diastole
Ultrasound Imaging
Medicine and Health Sciences
Sinus rhythm
Medical Personnel
030212 general & internal medicine
lcsh:Science
Aorta
Multidisciplinary
Ejection fraction
Radiology and Imaging
Models
Cardiovascular

Middle Aged
Professions
Echocardiography
Cardiovascular Diseases
Hypertension
Cardiology
Regression Analysis
Female
Research Article
medicine.medical_specialty
Systole
Imaging Techniques
Research and Analysis Methods
03 medical and health sciences
Age Distribution
Diagnostic Medicine
Physicians
Internal medicine
Lv dysfunction
medicine
Humans
Heart Failure
business.industry
lcsh:R
Reproducibility of Results
Stroke Volume
medicine.disease
Health Care
Cross-Sectional Studies
ROC Curve
Heart failure
People and Places
lcsh:Q
Population Groupings
business
Ejection Fraction
Zdroj: PLoS ONE
PLoS ONE, Vol 13, Iss 11, p e0206199 (2018)
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0206199
Popis: Background Heart failure (HF), is a major public health issue globally. Echocardiography is cost–effective in the diagnosis in expert hands. This study was conducted to estimate the usefulness of Aortic Root Systolic Excursion (ARSE) as a simple and accurate measure to estimate Left Ventricular (LV) function. Methods This was a cross-sectional echocardiographic study among adults aged ≥ 18 years, with or without heart failure, in sinus rhythm, and with no LV out–let obstruction. We studied the correlations of ARSE with some selected indices of LV Systolic Functions. We determined optimal cut–offs of ARSE in detecting LV dysfunction. We generated a simple regression equation to best estimate LV ejection fraction according to the modified Simpson method. Results Overall 213 echocardiograms were included from 106 males (49.8%), with mean age of the participants being 52.4 (SD: 18.3) years. The rate of LV systolic dysfunction was highest with Teicholz method (17.4%) and lowest with MAPSE method (5.2%). ARSE correlated with the LV functions. This was highest for the Simpson method (r = 0.619, p
Databáze: OpenAIRE