Factor Information
Data ID 2863
Factor If PVC-derived area BSA ≤0.05: VTI ratio (Predicting CMR AR Fraction)
Description Both variables remained independent predictors of AR fraction in multivariable modeling. The effect of missing data on the final prediction model was assessed using multiple imputation techniques.The estimated coefficients following multiple imputation were similar to those of the complete case analysis.
Biomarker YES
Classification A6 (clinical factor - other)
Association
Application diagnosis
Objective We sought to identify the most accurate and practical method of quantifying AR severity by echocardiography in a group of patients with CHD, using CMR as a reference standard. Both variables remained independent predictors of AR fraction in multivariable modeling.
p Value <0.0001
Conclusion Both variables remained independent predictors of AR fraction in multivariable modeling. The effect of missing data on the final prediction model was assessed using multiple imputation techniques.The estimated coefficients following multiple imputation were similar to those of the complete case analysis.
Risk Factor unknown
CHD Type
ID 633
CHD Type isolated CHD/non-isolated CHD
CHD Subtype TOF, TA/VSD/CoA/TGA/other
Reference
PMID 20581048
Year 2010
Title An echocardiographic model predicting severity of aortic regurgitation in congenital heart disease
Sample
Population children and adolescents
Source multivariable models
Region Boston, USA
Method Single-variable and multivariable models predicting AR fraction were developed with the model-generation data set.
Race North America
Disease History N/A
Treatment History N/A
Group multiple imputation(Treatment) N/A(Control)
Number 148 N/A
Age 19.8±12.1 (0.23–66) years N/A
Gender (Male: Female) 95:70 (total) N/A
Marker Level Coefficient±SE=1.83±0.26 N/A