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

Table 1

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

Clinical characteristics model	Univariate analysis		Multivariate analysis
		Hazard ratio		Hazard ratio
Age	0.015	1.076 (1.014–1.141)
Gender	0.772	0.894 (0.956–1.034)
BMI	0.069	0.631 (1.021–2.003)
Concurrent cancers	0.002	1.906 (1.277–2.844)	0.002	2.021 (1.302–3.135)
ICU length of stay	0.553	0.239 (1.071–1.659)
APACHE II	0.312	0.979 (0.939–1.020)
SOFA score	0.016	1.078 (1.015–1.146)
Mean arterial pressure	0.017	1.033 (1.006–1.061)
Mechanical ventilation time	0.341	0.851 (1.075–2.701)
Number of organ dysfunctions	0.014	1.131 (1.025–1.249)	0.035	1.125 (1.008–1.256)
Leukocyte count	0.395	0.788 (0.596–1.788)
Hemoglobin	0.431	0.683 (0.998–1.518)
AST	0.631	0.758 (0.673–0.968)
ALT	0.839	0.331 (0.083–1.701)
Albumin	0.341	0.851 (0.938–1.331)
Creatinine	0.553	0.639 (1.231–1.159)
Carbon dioxide tension	0.639	0.839 (1.236–2.177)
Oxygen partial pressure	0.753	0.935 (1.535–1.938)
Positive cumulative fluid balance at 72 h	0.032	1.019 (1.002–1.036)
AKI occurrence time in RICU	0.954	0.995 (0.849–1.167)

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