Left Heart Chamber Quantification in Obese Patients: How Does Larger Body Size Affect Echocardiographic Measurements?

Accurate normalization of cardiac chamber size in the obese population is a challenge. The aim of this study was to develop and assess the performance of allometric models for scaling left heart chamber sizes, including left atrial anteroposterior dimension (LADAP), left atrial volume (LAV), left ve...

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Published inJournal of the American Society of Echocardiography Vol. 27; no. 12; pp. 1267 - 1274
Main Authors Zong, Pu, Zhang, Lili, Shaban, Nada M., Peña, Jessica, Jiang, Leng, Taub, Cynthia C.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.12.2014
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Online AccessGet full text
ISSN0894-7317
1097-6795
1097-6795
DOI10.1016/j.echo.2014.07.015

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Abstract Accurate normalization of cardiac chamber size in the obese population is a challenge. The aim of this study was to develop and assess the performance of allometric models for scaling left heart chamber sizes, including left atrial anteroposterior dimension (LADAP), left atrial volume (LAV), left ventricular end-diastolic volume (LVEDV), and left ventricular end-diastolic dimension (LVEDD), in an obese population. To normalize left heart chamber measurements (Y: LADAP, LAV, LVEDV, and LVEDD) to body size variables (X: height, weight, body mass index, and body surface area), both isometric models (Y = aX) and optimal allometric models (Y = aXb) were tested. A logarithmic transformation (LnY = Lna + b × LnX) and ordinary least squares linear regression was performed to estimate the allometric scaling exponents. Pearson’s correlation coefficients were obtained for measured and indexed left chamber sizes using both isometric and allometric models against body size variables. Gender-specific allometric models were also derived as sensitivity analyses. A total of 717 healthy obese subjects were included in the analysis. The mean body surface area and body mass index were 2.3 m2 and 42.2 kg/m2, respectively. Measured LADAP, LAV, LVEDD, and LVEDV were positively correlated with body size variables. Allometric scaling of LADAP, LAV, LVEDD, and LVEDV showed stronger correlation with measured chamber sizes compared with isometric scaling. The overcorrection caused by isometric scaling significantly improved after allometric models were used. The sensitivity analysis showed no significant differences in scaling exponents between men and women. Normalizing cardiac chamber measurements with allometric scaling methods is superior to the use of isometric methods in removing the effects of body size and minimizing overcorrection in the obese population. Using an allometric model with height provides the most accurate results.
AbstractList Accurate normalization of cardiac chamber size in the obese population is a challenge. The aim of this study was to develop and assess the performance of allometric models for scaling left heart chamber sizes, including left atrial anteroposterior dimension (LADAP), left atrial volume (LAV), left ventricular end-diastolic volume (LVEDV), and left ventricular end-diastolic dimension (LVEDD), in an obese population.BACKGROUNDAccurate normalization of cardiac chamber size in the obese population is a challenge. The aim of this study was to develop and assess the performance of allometric models for scaling left heart chamber sizes, including left atrial anteroposterior dimension (LADAP), left atrial volume (LAV), left ventricular end-diastolic volume (LVEDV), and left ventricular end-diastolic dimension (LVEDD), in an obese population.To normalize left heart chamber measurements (Y: LADAP, LAV, LVEDV, and LVEDD) to body size variables (X: height, weight, body mass index, and body surface area), both isometric models (Y = aX) and optimal allometric models (Y = aX(b)) were tested. A logarithmic transformation (LnY = Lna + b × LnX) and ordinary least squares linear regression was performed to estimate the allometric scaling exponents. Pearson's correlation coefficients were obtained for measured and indexed left chamber sizes using both isometric and allometric models against body size variables. Gender-specific allometric models were also derived as sensitivity analyses.METHODSTo normalize left heart chamber measurements (Y: LADAP, LAV, LVEDV, and LVEDD) to body size variables (X: height, weight, body mass index, and body surface area), both isometric models (Y = aX) and optimal allometric models (Y = aX(b)) were tested. A logarithmic transformation (LnY = Lna + b × LnX) and ordinary least squares linear regression was performed to estimate the allometric scaling exponents. Pearson's correlation coefficients were obtained for measured and indexed left chamber sizes using both isometric and allometric models against body size variables. Gender-specific allometric models were also derived as sensitivity analyses.A total of 717 healthy obese subjects were included in the analysis. The mean body surface area and body mass index were 2.3 m(2) and 42.2 kg/m(2), respectively. Measured LADAP, LAV, LVEDD, and LVEDV were positively correlated with body size variables. Allometric scaling of LADAP, LAV, LVEDD, and LVEDV showed stronger correlation with measured chamber sizes compared with isometric scaling. The overcorrection caused by isometric scaling significantly improved after allometric models were used. The sensitivity analysis showed no significant differences in scaling exponents between men and women.RESULTSA total of 717 healthy obese subjects were included in the analysis. The mean body surface area and body mass index were 2.3 m(2) and 42.2 kg/m(2), respectively. Measured LADAP, LAV, LVEDD, and LVEDV were positively correlated with body size variables. Allometric scaling of LADAP, LAV, LVEDD, and LVEDV showed stronger correlation with measured chamber sizes compared with isometric scaling. The overcorrection caused by isometric scaling significantly improved after allometric models were used. The sensitivity analysis showed no significant differences in scaling exponents between men and women.Normalizing cardiac chamber measurements with allometric scaling methods is superior to the use of isometric methods in removing the effects of body size and minimizing overcorrection in the obese population. Using an allometric model with height provides the most accurate results.CONCLUSIONSNormalizing cardiac chamber measurements with allometric scaling methods is superior to the use of isometric methods in removing the effects of body size and minimizing overcorrection in the obese population. Using an allometric model with height provides the most accurate results.
Accurate normalization of cardiac chamber size in the obese population is a challenge. The aim of this study was to develop and assess the performance of allometric models for scaling left heart chamber sizes, including left atrial anteroposterior dimension (LADAP), left atrial volume (LAV), left ventricular end-diastolic volume (LVEDV), and left ventricular end-diastolic dimension (LVEDD), in an obese population. To normalize left heart chamber measurements (Y: LADAP, LAV, LVEDV, and LVEDD) to body size variables (X: height, weight, body mass index, and body surface area), both isometric models (Y = aX) and optimal allometric models (Y = aX(b)) were tested. A logarithmic transformation (LnY = Lna + b × LnX) and ordinary least squares linear regression was performed to estimate the allometric scaling exponents. Pearson's correlation coefficients were obtained for measured and indexed left chamber sizes using both isometric and allometric models against body size variables. Gender-specific allometric models were also derived as sensitivity analyses. A total of 717 healthy obese subjects were included in the analysis. The mean body surface area and body mass index were 2.3 m(2) and 42.2 kg/m(2), respectively. Measured LADAP, LAV, LVEDD, and LVEDV were positively correlated with body size variables. Allometric scaling of LADAP, LAV, LVEDD, and LVEDV showed stronger correlation with measured chamber sizes compared with isometric scaling. The overcorrection caused by isometric scaling significantly improved after allometric models were used. The sensitivity analysis showed no significant differences in scaling exponents between men and women. Normalizing cardiac chamber measurements with allometric scaling methods is superior to the use of isometric methods in removing the effects of body size and minimizing overcorrection in the obese population. Using an allometric model with height provides the most accurate results.
Accurate normalization of cardiac chamber size in the obese population is a challenge. The aim of this study was to develop and assess the performance of allometric models for scaling left heart chamber sizes, including left atrial anteroposterior dimension (LADAP), left atrial volume (LAV), left ventricular end-diastolic volume (LVEDV), and left ventricular end-diastolic dimension (LVEDD), in an obese population. To normalize left heart chamber measurements (Y: LADAP, LAV, LVEDV, and LVEDD) to body size variables (X: height, weight, body mass index, and body surface area), both isometric models (Y = aX) and optimal allometric models (Y = aXb) were tested. A logarithmic transformation (LnY = Lna + b × LnX) and ordinary least squares linear regression was performed to estimate the allometric scaling exponents. Pearson’s correlation coefficients were obtained for measured and indexed left chamber sizes using both isometric and allometric models against body size variables. Gender-specific allometric models were also derived as sensitivity analyses. A total of 717 healthy obese subjects were included in the analysis. The mean body surface area and body mass index were 2.3 m2 and 42.2 kg/m2, respectively. Measured LADAP, LAV, LVEDD, and LVEDV were positively correlated with body size variables. Allometric scaling of LADAP, LAV, LVEDD, and LVEDV showed stronger correlation with measured chamber sizes compared with isometric scaling. The overcorrection caused by isometric scaling significantly improved after allometric models were used. The sensitivity analysis showed no significant differences in scaling exponents between men and women. Normalizing cardiac chamber measurements with allometric scaling methods is superior to the use of isometric methods in removing the effects of body size and minimizing overcorrection in the obese population. Using an allometric model with height provides the most accurate results.
BackgroundAccurate normalization of cardiac chamber size in the obese population is a challenge. The aim of this study was to develop and assess the performance of allometric models for scaling left heart chamber sizes, including left atrial anteroposterior dimension (LAD AP), left atrial volume (LAV), left ventricular end-diastolic volume (LVEDV), and left ventricular end-diastolic dimension (LVEDD), in an obese population. MethodsTo normalize left heart chamber measurements ( Y: LAD AP, LAV, LVEDV, and LVEDD) to body size variables ( X: height, weight, body mass index, and body surface area), both isometric models ( Y =  aX) and optimal allometric models ( Y =  aXb) were tested. A logarithmic transformation (Ln Y = Ln a +  b × Ln X) and ordinary least squares linear regression was performed to estimate the allometric scaling exponents. Pearson’s correlation coefficients were obtained for measured and indexed left chamber sizes using both isometric and allometric models against body size variables. Gender-specific allometric models were also derived as sensitivity analyses. ResultsA total of 717 healthy obese subjects were included in the analysis. The mean body surface area and body mass index were 2.3 m 2 and 42.2 kg/m 2, respectively. Measured LAD AP, LAV, LVEDD, and LVEDV were positively correlated with body size variables. Allometric scaling of LAD AP, LAV, LVEDD, and LVEDV showed stronger correlation with measured chamber sizes compared with isometric scaling. The overcorrection caused by isometric scaling significantly improved after allometric models were used. The sensitivity analysis showed no significant differences in scaling exponents between men and women. ConclusionsNormalizing cardiac chamber measurements with allometric scaling methods is superior to the use of isometric methods in removing the effects of body size and minimizing overcorrection in the obese population. Using an allometric model with height provides the most accurate results.
Author Zhang, Lili
Taub, Cynthia C.
Peña, Jessica
Jiang, Leng
Zong, Pu
Shaban, Nada M.
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Issue 12
Keywords LAV
Left heart
Obesity
BSA
Echocardiography
LADAP
LVEDV
Allometric scaling
LVEDD
Isometric scaling
BMI
LAD AP
Left ventricular end-diastolic dimension
Body mass index
Body surface area
Left atrial anteroposterior dimension
Left atrial volume
Left ventricular end-diastolic volume
Language English
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Snippet Accurate normalization of cardiac chamber size in the obese population is a challenge. The aim of this study was to develop and assess the performance of...
BackgroundAccurate normalization of cardiac chamber size in the obese population is a challenge. The aim of this study was to develop and assess the...
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StartPage 1267
SubjectTerms Adult
Algorithms
Allometric scaling
Body Size
Cardiovascular
Computer Simulation
Echocardiography
Echocardiography - methods
Female
Heart Atria - diagnostic imaging
Heart Atria - physiopathology
Heart Ventricles - diagnostic imaging
Heart Ventricles - physiopathology
Humans
Image Interpretation, Computer-Assisted - methods
Isometric scaling
Left heart
Male
Models, Cardiovascular
Models, Statistical
Obesity
Obesity - diagnostic imaging
Obesity - physiopathology
Organ Size
Reproducibility of Results
Sensitivity and Specificity
Sex Characteristics
Stroke Volume
Young Adult
Title Left Heart Chamber Quantification in Obese Patients: How Does Larger Body Size Affect Echocardiographic Measurements?
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https://dx.doi.org/10.1016/j.echo.2014.07.015
https://www.ncbi.nlm.nih.gov/pubmed/25193637
https://www.proquest.com/docview/1634278497
Volume 27
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