• J Emerg Med · Sep 2015

    Predictive Role of Admission Lactate Level in Critically Ill Patients with Acute Upper Gastrointestinal Bleeding.

    • Karim El-Kersh, Udit Chaddha, Rahul Siddhartha Sinha, Mohamed Saad, Juan Guardiola, and Rodrigo Cavallazzi.
    • Department of Pulmonary, Critical Care and Sleep Disorders Medicine, University of Louisville, Louisville, Kentucky.
    • J Emerg Med. 2015 Sep 1; 49 (3): 318-25.

    BackgroundThe predictive role of lactate in critically ill patients with acute upper gastrointestinal bleeding (UGIB) remains to be elucidated.ObjectiveThe primary objective of this study was to assess the value of lactate level on admission to predict in-hospital death in patients with UGIB admitted to the intensive care unit (ICU). The secondary objective was to assess whether lactate level adds predictive value to the clinical Rockall score in these patients.MethodsThis was a retrospective cohort study that included 133 patients with acute UGIB admitted to the ICU. Inclusion criteria were age > 18 years and presence of UGIB on admission to the ICU.ResultsMean age was 55.4 years old and 64.7% were male. The most common cause of gastrointestinal bleeding was peptic ulcer disease, followed by erosive esophagitis/gastritis. The in-hospital mortality was 22.6%. Median lactate level in survivors and nonsurvivors was 2.0 (interquartile range [IQR] 1.2-4.2 mmol/L) and 8.8 (IQR 3.4-13.3 mmol/L; p < 0.01), respectively. The receiver operating characteristic (ROC) area to predict in-hospital death for clinical Rockall score and lactate level (0.82) was significantly higher than the ROC area for the clinical Rockall score alone (0.69) (p < 0.01).ConclusionsIn patients admitted to the ICU with acute UGIB, lactate level on admission has a high sensitivity but low specificity for predicting in-hospital death. Lactate level adds to the predictive value of the clinical Rockall score. Given its high sensitivity, lactate level can be used in addition to other prediction tools to predict outcomes in patients with UGIB.Copyright © 2015 Elsevier Inc. All rights reserved.

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