Unmeasured anions in critically ill patients: Can they predict mortality?*
To determine whether base excess, base excess caused by unmeasured anions, and anion gap can predict lactate in adult critically ill patients, and also to determine whether acid-base variables can predict mortality in these patients.Design
Adult intensive care unit of tertiary hospital.Patients
Three hundred adult critically ill patients admitted to the intensive care unit.Interventions
Retrieval of admission biochemical data from computerized records, quantitative biophysical analysis of data with the Stewart-Figge methodology, and statistical analysis.Measurements and Main Results
We measured plasma Na+, K+, Mg2+, Cl−, HCO3−, phosphate, ionized Ca2+, albumin, lactate, and arterial pH and Paco2. All three variables (base excess, base excess caused by unmeasured anions, anion gap) were significantly correlated with lactate (r2 = .21, p < .0001; r2 = .30, p < .0001; and r2 = .31. p < .0001, respectively). Logistic regression analysis showed that the area under the receiver operating characteristic (AUROC) curves had moderate to high accuracy for the prediction of a lactate concentration >5 mmol/L: AUROC curves, 0.86 (95% confidence interval [CI], 0.78–0.94), 0.86 (95% CI, 0.78–0.93), and 0.85 (95% CI, 0.77–0.92), respectively.Measurements and Main Results
Logistic regression analysis showed that hospital mortality rate correlated significantly with Acute Physiology and Chronic Health Evaluation (APACHE) II score, anion gap corrected (anion gap corrected by albumin), age, lactate, anion gap, chloride, base excess caused by unmeasured anions, strong ion gap, sodium, bicarbonate, strong ion difference effective, and base excess. However, except for APACHE II score, AUROC curves for mortality prediction were relatively small: 0.78 (95% CI, 0.72–0.84) for APACHE II, 0.66 (95% CI, 0.59–0.73) for lactate, 0.64 (95% CI, 0.57–0.71) for base excess caused by unmeasured anions, and 0.63 (95% CI, 0.56–0.70) for strong ion gap.Conclusions
Base excess, base excess caused by unmeasured anions, and anion gap are good predictors of hyperlactatemia (>5 mmol/L). Acid-base variables and, specifically, “unmeasured anions” (anion gap, anion gap corrected, base excess caused by unmeasured anions, strong ion gap), irrespective of the methods used to calculate them, are not accurate predictors of hospital mortality rate in critically ill patients.