Perioperative intravenous iron; an upfront therapy for treating anaemia and reducing transfusion requirements.

Perioperative anaemia, with iron deficiency being its leading cause, is a frequent condition among surgical patients, and has been linked to increased postoperative morbidity and mortality, and decreased quality of life. Postoperative anaemia is even more frequent and is mainly caused by perioperative blood loss, aggravated by inflammation-induced blunting of erythropoiesis. Allogenic transfusion is commonly used for treating acute perioperative anaemia, but it also increases the rate of morbidity and mortality in surgical and critically ill patients. Thus, overall concerns about adverse effects of both preoperative anaemia and allogeneic transfusion have prompted the review of transfusion practice and the search for safer and more biologically rational treatment options. In this paper, the role of intravenous iron therapy (mostly with iron sucrose and ferric carboxymaltose), as a safe and efficacious tool for treating anaemia and reducing transfusion requirements in surgical patients, as well as in other medical areas, has been reviewed. From the analysis of published data and despite the lack of high quality evidence in some areas, it seems fair to conclude that perioperative intravenous iron administration, with or without erythropoiesis stimulating agents, is safe, results in lower transfusion requirements and hastens recovery from postoperative anaemia. In addition, some studies have reported decreased rates of postoperative infection and mortality, and shorter length of hospital stay in surgical patients receiving intravenous iron.

Use of Hy's law and a new composite algorithm to predict acute liver failure in patients with drug-induced liver injury.

BACKGROUND & AIMS Hy's Law, which states that hepatocellular drug-induced liver injury (DILI) with jaundice indicates a serious reaction, is used widely to determine risk for acute liver failure (ALF). We aimed to optimize the definition of Hy's Law and to develop a model for predicting ALF in patients with DILI. METHODS We collected data from 771 patients with DILI (805 episodes) from the Spanish DILI registry, from April 1994 through August 2012. We analyzed data collected at DILI recognition and at the time of peak levels of alanine aminotransferase (ALT) and total bilirubin (TBL). RESULTS Of the 771 patients with DILI, 32 developed ALF. Hepatocellular injury, female sex, high levels of TBL, and a high ratio of aspartate aminotransferase (AST):ALT were independent risk factors for ALF. We compared 3 ways to use Hy's Law to predict which patients would develop ALF; all included TBL greater than 2-fold the upper limit of normal (×ULN) and either ALT level greater than 3 × ULN, a ratio (R) value (ALT × ULN/alkaline phosphatase × ULN) of 5 or greater, or a new ratio (nR) value (ALT or AST, whichever produced the highest ×ULN/ alkaline phosphatase × ULN value) of 5 or greater. At recognition of DILI, the R- and nR-based models identified patients who developed ALF with 67% and 63% specificity, respectively, whereas use of only ALT level identified them with 44% specificity. However, the level of ALT and the nR model each identified patients who developed ALF with 90% sensitivity, whereas the R criteria identified them with 83% sensitivity. An equal number of patients who did and did not develop ALF had alkaline phosphatase levels greater than 2 × ULN. An algorithm based on AST level greater than 17.3 × ULN, TBL greater than 6.6 × ULN, and AST:ALT greater than 1.5 identified patients who developed ALF with 82% specificity and 80% sensitivity. CONCLUSIONS When applied at DILI recognition, the nR criteria for Hy's Law provides the best balance of sensitivity and specificity whereas our new composite algorithm provides additional specificity in predicting the ultimate development of ALF.