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Table 3 Regression analyses

From: The association of early combined lactate and glucose levels with subsequent renal and liver dysfunction and hospital mortality in critically ill patients

  1. *The statistical inference in the logistic regression is presented as an odds ratio (OR) (95% confidence interval (CI)) and in the linear regression as a β-coefficient (β) (95% CI)
  2. Multivariate analyses for renal dysfunction (acute kidney injury (AKI); top third of table), liver dysfunction (maximal bilirubin; middle third of table), and mortality (bottom third of table) were performed with and without Acute Physiology and Chronic Health Evaluation (APACHE) IV (AP-IV) as an independent factor
  3. Regression analyses are shown between lactate quintiles (L), glucose quintiles (G), (glucose quintile – mean)2 (G–m)2, and the interaction term (lactate quintile × glucose quintile (L × G)), and outcome
  4. In order to accommodate for the known U-shaped relationship of glucose with outcome, the squared factor (glucose quintile – mean glucose quintile)2 is used. The term (lactate quintile × glucose quintile) was used to verify an interaction between lactate and glucose
  5. Note the for both for AKI and mortality, the addition of the squared factor and of the interaction term improved the contribution of glucose in the multivariate model
  6. NS not significant