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Purpose: To describe the incidence, causes and associated mortality of hyperlactatemia in critically ill patients and to evaluate the association between lactate clearance and in-hospital survival., Methods: Retrospective cohort study of patients with hyperlactatemia admitted to the ICU. Hyperlactatemia was defined as a blood lactate concentration ≥5mmol/L and high-grade hyperlactatemia a lactate level ≥10mmol/L. Lactate clearance was calculated as the percentage of decrease in lactate concentration from the peak value., Results: Of 10,123 patients, 1373 (13.6%) had lactate concentration ≥5mmol/L, and 434(31.6%) of them had ≥10mmol/L. The most common causes of hyperlactatemia were sepsis/septic shock and post-cardiac surgery. An association was found between lactate concentration and in-hospital mortality (p<0.001). The area under the receiver-operating-characteristics (ROC) of lactate concentration and the optimal cut off to predict mortality were 0.72 (0.70-0.75) and 8.6mmol/L, respectively. ROC analysis for lactate clearance to predict in-hospital survival showed that the best area under the curve was obtained at 12h: 0.67 (95% confidence interval 0.59-0.75)., Conclusions: Hyperlactatemia was common and associated with a high mortality in critically ill patients. Lactate clearance had limited utility for predicting in-hospital survival., (Copyright © 2017. Published by Elsevier Inc.)

To evaluate whether patients with rhabdomyolysis and serum alanine aminotransferase (ALT) and/or aspartate aminotransferase (AST) higher than 1000 IU/L had higher mortality that patients with low aminotransferases. Retrospective analysis of intensive care unit patients with rhabdomyolysis [creatine kinase (CK) higher than 5000 IU/L]. Patients were classified in two groups: low aminotransferases group, when AST and ALT were equal or lower to 1000 IU/L, and elevated aminotransferases group, when AST or ALT was above 1000 IU/L. Forty-six out of 189 patients included in the analysis (24.3%) had elevated aminotransferases. The mortality of patients with rhabdomyolysis was 25.9 per cent, being higher in patients with elevated aminotransferases compared with patients with low aminotransferases (60.9% vs 14.7%; P < 0.001). Mortality stratified by quartiles of CK in patients with low aminotransferases was independent of the level of CK (P = 0.67). Logistic regression analysis showed that the independent variables associated with mortality were Simplified Acute Physiology Score II [1.11 (1.07-1.16) for each point of increase, P < 0.001], the international normalized ratio value [4.2 (1.6-10.7) for each point of increase, P = 0.003], and the need of renal replacement therapy [5.4 (1.7-17.2), P = 0.004]. Patients with rhabdomyolysis with elevated serum aminotransferases had higher mortality than patients with low serum aminotransferase levels.

Introduction: Introduction: optimal nutrition in the critically ill patient is a key aspect for recovery. Objectives: to promote training in and knowledge of mixed nutrition support (MNS) by means of a clinical algorithm among intensivists for improving the nutritional status of critically ill patients. Methods: a before-and-after study with the participation of 19 polyvalent intensive care units (ICUs) in 10 autonomous communities. Five members of the scientific committee trained the trainers by means of oral presentations and a clinical algorithm on MNS. Then, trainers were responsible for explaining the algorithm to local intensivists in their ICUs. The 30-item study questionnaire was completed before and after the intervention by 179 and 105 intensivists, respectively. Results: a clear improvement of knowledge was found in six (20 %) specific MNS-related questions. In 11 items (36.6 %), adequate knowledge on different aspects of nutritional support that were already present before the intervention were maintained, and in five items (16.7 %) an improvement in the rate of correct responses was recorded. There were no improvements in correct responses for four items (13.3 %), and for four (13.3 %) additional items the percentage of correct responses decreased. Conclusions: the use of the MNS algorithm has achieved a solid consolidation of the main concepts of MNS. Some aspects regarding how to manage the malnourished patient, how to identify them and what type of nutrition to guide from the beginning of admission to the ICU, nutritional contributions in special situations, and the monitoring of possible complications such as refeeding are areas for which further training strategies are needed. [ABSTRACT FROM AUTHOR]