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. 2021 Feb 9;34(6):642–652. doi: 10.1016/j.echo.2021.02.003

Table 3.

Multivariate analysis of echocardiographic and LUS prediction of clinical events

Variable Univariate analysis, HR (95% CI) Multivariate analysis, HR (95% CI)
Mortality: echocardiography
 LVEF 2.66 (1.1–5.8), P = .03 0.73 (0.22–2.03), P = .55
 SVI 3.72 (1.69–8.39), P = .01 2.12 (1.001–5.23), P = .05
 PAT 2.74 (1.26–6.26), P = .01 2.31 (0.84–6.7), P = .10
 TAPSE 4.1 (1.93–9.0), P = .0003 4.3 (1.68–11.6), P = .002
 χ2 for model 23.9
 P value for model <.0001
 AIC 218
Mortality: echocardiography and LUS
 LVEF 0.70 (0.22–2.00), P = .52
 SVI 3.09 (1.3–7.35), P = .01
 PAT 2.25 (0.83–6.6), P = .11
 TAPSE 3.21 (1.32–7.82), P = .01
 LUS score 2.78 (1.27–5.82), P = .01 2.38 (1.01–5.61), P = .04
 χ2 for model 24.8
 P value for model <.0001
 AIC 216
 P value for log likelihood .01
Mechanical ventilation: echocardiography
 LVEF 0.96 (0.93–1.007), P = .09 0.95 (0.88–1.04), P = .28
 SVI 0.96 (0.91–1.02), P = .21 0.97 (0.89–1.04), P = .43
 PAT 0.97 (0.95–0.99), P = .01 0.97 (0.94–0.99), P = .01
 TAPSE 0.52 (0.21–1.28), P = .15 0.98 (0.28–3.3), P = .90
 χ2 for model 8.7
 P value for model .06
 AIC 91.4
Mechanical ventilation: echocardiography and LUS
 LVEF 1.00 (0.97-1.04), P = .64
 SVI 0.99 (0.97-1.04), P = .45
 PAT 0.99 (0.98–1.001), P = .07
 TAPSE 0.77 (0.49–1.05), P = .09
 LUS score 3.5 (1.4–8.9), P = .006 1.03 (1.04–1.06), P = .007
 χ2 for model 17.8
 P value for model .003
 AIC 84.5
 P value for log likelihood .001
Composite event: echocardiography
 LVEF 2.39 (1.1–4.8), P = .02 0.82 (0.32–2.06), P = .66
 SVI 3.6 (1.8–7.1), P = .0004 3.52 (1.63–7.59), P = .001
 PAT 4.6 (2.0–12.3), P < .0001 2.41 (1.01–5.9), P = .04
 TAPSE 3.4 (1.7–6.7), P < .0001 1.99 (1.29–6.8), P = .01
 χ2 for model 22.6
 P value for model <.0001
 AIC 303
Composite event: echocardiography and LUS
 LVEF 0.95 (0.33–2.43), P = .92
 SVI 2.39 (1.04–5.46), P = .04
 PAT 2.06 (0.85–5.15), P = .11
 TAPSE 2.47 (1.07–5.73), P = .03
 LUS score 3.03 (1.33–6.82), P = .009
 χ2 for model 29.5
 P value for model <.0001
 AIC 292
 P value for log likelihood <.0001

Bold indicates statistical significance.

AIC, Akaike information criterion.