Prognostic Prediction Using the Clinical Data and Ultrasomics-Based Model in Acute Respiratory Distress Syndrome (ARDS) Combined with Acute Kidney Injury (AKI)

Table 3

Regression analysis results of establishing the ultrasomics model based on ultrasomics parameters to predict the prognosis of ARDS and AKI.

Ultrasomics model	Univariate analysis		Multivariate analysis
		Hazard ratio		Hazard ratio
Difference Variance.103	0.797	0.969 (0.762–1.232)
Small Dependence Emphasis.130	0.593	1.076 (0.822–1.411)
Difference Average.223	0.120	1.276 (0.938–1.735)
Sum Entropy.239	0.042	1.024 (1.001–1.048)	0.025	1.029 (1.004–1.055)
Small Dependence High Gray Level Emphasis.314	0.035	0.982 (0.966–0.988)
Maximum.327	0.021	0.976 (0.956–0.996)	0.028	0.976 (0.954–0.997)
Variance.338	0.034	1.013 (1.001–1.025)	0.034	1.014 (1.001–1.026)
Idm.349	0.793	1.017 (0.896–1.154)
Small Area High Gray Level Emphasis.665	0.059	1.300 (0.990–1.707)
Run Variance.755	0.317	0.648 (0.777–1.516)
Strength.872	0.484	1.237 (0.682–2.242)

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