Table 3

Impact of baseline characteristics on the occurrence of acute kidney injury (multivariate logistic regression analysis)

Characteristic

Covariates associated with occurrence of acute kidney injury

Covariates associated with occurrence of maximum RIFLE class failure


Odds ratio (95% confidence interval)

P

Odds ratio (95% confidence interval)

P


Age (per year older)

1.02 (1.02–1.03)

< 0.001

1.01 (1.00–1.01)

0.001

Race (reference white)

0.130

0.001

Black

1.20 (0.96–1.50)

0.111

1.50 (1.21–1.86)

< 0.001

Other

0.73 (0.44–1.23)

0.237

0.78 (0.41–1.38)

0.397

Chronic kidney insufficiency

4.19 (2.48–7.10)

< 0.001

8.86 (6.01–13.05)

< 0.001

Medical admission (reference surgical)

0.79 (0.69–0.90)

< 0.001

0.76 (0.66–0.87)

< 0.001

Reason for admission according to organ system (reference cardiovascular disease)

< 0.001

< 0.001

Trauma

0.64 (0.53–0.79)

< 0.001

0.64 (0.52–0.80)

< 0.001

Neurological disease

0.93 (0.78–1.13)

0.481

1.02 (0.85–1.2)

0.830

Pulmonary disease and infection

1.08 (0.88–1.32)

0.461

1.16 (0.96–1.40)

0.120

Gastrointestinal disease

0.51 (0.35–0.73)

< 0.001

0.51 (0.32–0.66)

0.004

Malignancy

0.36 (0.27–0.49)

< 0.001

0.45 (0.31–0.66)

< 0.001

Other

0.57 (0.47–0.70)

< 0.001

0.60 (0.48–0.74)

< 0.001

SOFAnonrenal (per point greater)

1.19 (1.16–1.21)

< 0.001

1.08 (1.06–1.10)

< 0.001

In hospital before ICU admission

1.18 (1.03–1.36)

0.015

1.19 (1.04–1.36)

0.012


SOFAnonrenal, Sequential Organ Failure Assessment score without points for kidney insufficiency; ICU, intensive care unit. The odds ratios were calculated with logistic regression analysis. The goodness of fit of the multivariable regression model was tested by the Hosmer-Lemeshow statistic: P = 0.080 for the model with acute kidney injury as the endpoint, and P = 0.019 for the model with maximum Risk, Injury, Failure, Loss, and End-stage Kidney (RIFLE) class failure as the endpoint.

Hoste et al. Critical Care 2006 10:R73   doi:10.1186/cc4915

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