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Table 2 Creating the simplified SEA-MAKE scoring system using the multivariable regression methoda

From: SEA-MAKE score as a tool for predicting major adverse kidney events in critically ill patients with acute kidney injury: results from the SEA-AKI study

PredictorsBS.E.Adjusted odds ratiob
(95% CI)
PSimplified scoresc
Glasgow coma scale < 101.000.112.72 (2.17, 3.40)< 0.0013
Respiratory rate > 24 breaths/min0.440.091.55 (1.29, 1.86)< 0.0011
Vasopressor use0.450.091.56 (1.30, 1.88)< 0.0011
On mechanical ventilation0.600.111.81 (1.45, 2.27)< 0.0012
Urine output < 0.5 L/day0.580.091.78 (1.48, 2.14)< 0.0012
Serum creatinine rising ≥ 3 times1.560.184.77 (3.38, 6.73)< 0.0015
Blood urea nitrogen ≥ 40 mg/dL [14.28 mmol/L]0.840.112.33 (1.89, 2.86)< 0.0013
Hematocrit < 30%0.590.101.81 (1.50, 2.19)< 0.0012
Platelet counts < 150 × 103 cell/µL0.340.101.40 (1.15, 1.70)0.0011
  1. aPooled data from 10 imputations after Forward Wald selection method in binary logistic regression model
  2. bAdjusted for co-variates
  3. cSchneeweiss’s scoring system
  4. All of the variance inflation factors (VIFs) coefficients in collinearity statistics were less than 1.3 and tolerance coefficients exceeded 0.79 in multicollinearity test among all co-variates