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Univariate Logistic Regression |
Univariate Logistic Regression |
Univariate Logistic Regression |
Multiple Binary Logistic Regression |
Multiple Binary Logistic Regression |
PACS: peak atrial contraction strain; ACS: atrial conduit strain; ATS:
atrial total strain; SR: strain rate; S: during systole; E: during early
filling phase; A: during atrial contraction; LASI: left atrial stiffness
index (E/E´ /LA strain); MV: mitral valve; DT: deceleration time; LA:
left atrium; TAPSE: tricuspid annular plane systolic excursion; TR PG:
tricuspid regurgitation peak gradient; LV: left ventricle; EF: ejection
fraction; EDV: end diastolic volume; ESV: end systolic volume; ES end
systolic; PL: peak longitudinal
Inclusion criteria for Stepwise Wald Logistic Regression was
p<0.20
Significance in the final multiple binary logistic regression:
p<0.05
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PACS: peak atrial contraction strain; ACS: atrial conduit strain; ATS:
atrial total strain; SR: strain rate; S: during systole; E: during early
filling phase; A: during atrial contraction; LASI: left atrial stiffness
index (E/E´ /LA strain); MV: mitral valve; DT: deceleration time; LA:
left atrium; TAPSE: tricuspid annular plane systolic excursion; TR PG:
tricuspid regurgitation peak gradient; LV: left ventricle; EF: ejection
fraction; EDV: end diastolic volume; ESV: end systolic volume; ES end
systolic; PL: peak longitudinal
Inclusion criteria for Stepwise Wald Logistic Regression was
p<0.20
Significance in the final multiple binary logistic regression:
p<0.05
|
PACS: peak atrial contraction strain; ACS: atrial conduit strain; ATS:
atrial total strain; SR: strain rate; S: during systole; E: during early
filling phase; A: during atrial contraction; LASI: left atrial stiffness
index (E/E´ /LA strain); MV: mitral valve; DT: deceleration time; LA:
left atrium; TAPSE: tricuspid annular plane systolic excursion; TR PG:
tricuspid regurgitation peak gradient; LV: left ventricle; EF: ejection
fraction; EDV: end diastolic volume; ESV: end systolic volume; ES end
systolic; PL: peak longitudinal
Inclusion criteria for Stepwise Wald Logistic Regression was
p<0.20
Significance in the final multiple binary logistic regression:
p<0.05
|
PACS: peak atrial contraction strain; ACS: atrial conduit strain; ATS:
atrial total strain; SR: strain rate; S: during systole; E: during early
filling phase; A: during atrial contraction; LASI: left atrial stiffness
index (E/E´ /LA strain); MV: mitral valve; DT: deceleration time; LA:
left atrium; TAPSE: tricuspid annular plane systolic excursion; TR PG:
tricuspid regurgitation peak gradient; LV: left ventricle; EF: ejection
fraction; EDV: end diastolic volume; ESV: end systolic volume; ES end
systolic; PL: peak longitudinal
Inclusion criteria for Stepwise Wald Logistic Regression was
p<0.20
Significance in the final multiple binary logistic regression:
p<0.05
|
PACS: peak atrial contraction strain; ACS: atrial conduit strain; ATS:
atrial total strain; SR: strain rate; S: during systole; E: during early
filling phase; A: during atrial contraction; LASI: left atrial stiffness
index (E/E´ /LA strain); MV: mitral valve; DT: deceleration time; LA:
left atrium; TAPSE: tricuspid annular plane systolic excursion; TR PG:
tricuspid regurgitation peak gradient; LV: left ventricle; EF: ejection
fraction; EDV: end diastolic volume; ESV: end systolic volume; ES end
systolic; PL: peak longitudinal
Inclusion criteria for Stepwise Wald Logistic Regression was
p<0.20
Significance in the final multiple binary logistic regression:
p<0.05
|
PACS: peak atrial contraction strain; ACS: atrial conduit strain; ATS:
atrial total strain; SR: strain rate; S: during systole; E: during early
filling phase; A: during atrial contraction; LASI: left atrial stiffness
index (E/E´ /LA strain); MV: mitral valve; DT: deceleration time; LA:
left atrium; TAPSE: tricuspid annular plane systolic excursion; TR PG:
tricuspid regurgitation peak gradient; LV: left ventricle; EF: ejection
fraction; EDV: end diastolic volume; ESV: end systolic volume; ES end
systolic; PL: peak longitudinal
Inclusion criteria for Stepwise Wald Logistic Regression was
p<0.20
Significance in the final multiple binary logistic regression:
p<0.05
|