Predicting one-year mortality of critically ill patients with early acute kidney injury: data from the prospective multicenter FINNAKI study

Table 2 Admission model for one-year mortality by multivariate logistic regression analysis

	Odds ratio (95% CI)	P	Independent contribution %^a
Age, years (per year)	1.03 (1.02-1.04)	<0.001	15.3
Admission type according to SAPS II^b			11.7
Unscheduled surgical	7.74 (1.65-36.23)	0.009
Medical	11.30 (2.45-52.01)	0.002
Chronic liver failure	3.79 (1.89-7.43)	<0.001	10.3
Malignancy	2.34 (1.43-3.83)	0.001	9.4
Resuscitation prior to ICU admission^c	2.34 (1.42-3.85)	0.001	8.9
Dependence of assistance in premorbid functional performance preceding the acute illness^d	1.75 (1.15-2.68)	0.009	8.7
Hypotension prior to ICU admission^e	1.67 (1.20-2.31)	0.002	8.3
Arteriosclerosis	1.87 (1.19-2.95)	0.007	7.3
Diabetes mellitus	0.59 (0.41-0.86)	0.006	7.3
Systolic heart failure	1.83 (1.13-2.95)	0.014	6.8
Immunosuppression	1.97 (1.00-3.90)	0.052	5.7

^aPresents the independent contribution percentage of the variable to the predictive performance of the model; ^bcompared to scheduled surgical; ^cresuscitation was defined as haemodynamic collapse requiring cardiopulmonary resuscitation, defibrillation or administration of epinephrine within 48 hours prior to ICU admission; ^dcompared to normal or disable to work; ^ehypotension was defined as systolic blood pressure <90 mmHg for 1 hour within 48 hours prior to ICU admission. Non-significant predictors for one-year mortality included in the analysis: gender, body mass index, APACHE II (Acute Physiology and Chronic Health Evaluation) diagnostic group, co-morbidities (hypertension, chronic obstructive pulmonary disease), glomerular filtration rate, operation within a week prior to ICU admission, and severe sepsis 24 h prior to ICU. CI, confidence interval; SAPS, Simplified Acute Physiology Score; ICU, intensive care unit.

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