Table 4 Univariate and multivariate Cox regression analysis. Multivariate analysis including automated GLS, GCS 3 slices and GRS 3 slices.

From: Artificial intelligence fully automated myocardial strain quantification for risk stratification following acute myocardial infarction

Variables

Univariate HR (95% CI)

p value

Multivariate HR (95% CI)

p value

Age

1.04 (1.02–1.06)

< 0.001

1.03 (1.00–1.05)

0.012

Sex (male)

1.51 (0.94–2.43)

0.083

  

Active smoking

0.57 (0.34–0.95)

0.031

  

Hypertension

2.07 (1.14–3.76)

0.016

  

Hyperlipoproteinemia

0.86 (0.54–1.37)

0.533

  

Diabetes mellitus

1.85 (1.16–2.94)

0.009

  

Body mass index, kg/m2

1.01 (0.96–1.06)

0.564

  

Killip class on admission

2.08 (1.66–2.61)

< 0.001

1.55 (1.14–2.09)

0.004

No. of diseased vessels

1.49 (1.14–1.96)

0.003

1.35 (1.02–1.83)

0.048

Manual GLS

1.13 (1.09–1.18)

< 0.001

  

Automated GLS

1.12 (1.08–1.16)

< 0.001

1.10 (1.04–1.15)

 < .001

Manual GCS

1.08 (1.05–1.11)

< 0.001

  

Automated GCS 3 slices

1.07 (1.05–1.10)

< 0.001

  

Manual GRS

0.93 (0.90–0.97)

< 0.001

  

Automated GRS 3 slices

0.98 (0.97–0.99)

< 0.001

  
  1. Univariate and multivariate analysis represented by HR and 95% CI. Univariate significant parameters (p < 0.05) were included in multivariate analysis. Considering high correlation of automated and manual analyses, multivariate analyses were based on automated strain analyses only. GCS, global circumferential strain; GLS, global longitudinal strain; GRS, global radial strain; HR, hazard ratio; CI, confidence interval. Results of multivariable modelling including manual GLS but not automated strain is reported elsewhere7.