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Table 4 Predictive accuracy of mortality of sepsis definitions with or without lactate value

From: Sepsis-3 definitions predict ICU mortality in a low–middle-income country

 

Sepsis-2 definition

Sepsis-3 definition

AUC (CI 95%)

Asymptotic P value

AUC (CI 95%)

Asymptotic P value

Without lactate model

0.650 (0.619–0.680)

<0.001

0.615 (0.580–0.650)

<0.001

Lactate as a continuous variablea

0.704 (0.668–0.739)b

<0.001

0.649 (0.608–0.689)b, d

<0.001

Lactate > 2 mmol/L

0.664 (0.631–0.697)

<0.001

0.620 (0.584–0.656)

<0.001

Lactate > 4 mmol/L

0.686 (0.653–0.719)b, c, d

<0.001

0.636 (0.598–0.674)b, c, d

<0.001

  1. The receiver operating curves (ROC) were constructed using the binary logistic regression probabilities of death using sepsis definitions and lactate categories. AUC area under the ROC curve
  2. aLactate as a continuous variable was logarithmically transformed in order to correct the positive skewness. Lactate > 2 mmol/L represents all patients with lactate > 2 mmol/L, including those with lactate > 4 mmol/L
  3. bDeLong’s test P < 0.05 versus without lactate model
  4. cDeLong’s test P = ns versus lactate as a continuous variable
  5. dDeLong’s test P < 0.05 versus lactate > 2 mmol/L