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

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

  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 IIb    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 admissionc 2.34 (1.42-3.85) 0.001 8.9
Dependence of assistance in premorbid functional performance preceding the acute illnessd 1.75 (1.15-2.68) 0.009 8.7
Hypotension prior to ICU admissione 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
  1. 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.