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Background: Aspartate aminotransferase (AST) is often increased in COVID-19 and, in some studies, AST abnormalities were associated with mortality risk., Methods: 2054 hospitalized COVID-19 patients were studied. To identify sources of AST release, correlations between AST peak values and other biomarkers of tissue damage, i.e., alanine aminotransferase (ALT) for hepatocellular damage, creatine kinase (CK) for muscle damage, lactate dehydrogenase for multiorgan involvement, alkaline phosphatase and γ-glutamyltransferase for cholestatic injury, and C-reactive protein (CRP) for systemic inflammation, were performed and coefficients of determination estimated. The role of AST to predict death and intensive care unit admission during hospitalization was also evaluated. All measurements were performed using standardized assays., Results: AST was increased in 69% of patients. Increases could be fully explained by summing the effects of hepatocellular injury [AST dependence from ALT, 66.8% [95% confidence interval (CI): 64.5-69.1)] and muscle damage [AST dependence from CK, 42.6% (CI: 39.3-45.8)]. We were unable to demonstrate an independent association of AST increases with worse outcomes., Conclusion: The mechanisms for abnormal AST in COVID-19 are likely multifactorial and a status related to tissue suffering could play a significant role. The clinical significance of AST elevations remains unclear., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Sepsis is a life-threatening organ dysfunction caused by a dysregulated response of the host to infection. It represents one of the major health care problems worldwide. Unfortunately, the diagnosis of sepsis is challenging for many reasons, including a lack of a sufficiently sensitive and specific diagnostic test. When procalcitonin (PCT) was discovered, it was thought that it could become the best test for identifying patients with sepsis. From the evidence sources in the available literature, it is now clear that the power of PCT in differentiating infectious from non-infectious forms of systemic inflammatory response syndrome in adults, and in stratifying morbidity and mortality risk, is limited. Nevertheless, PCT determination can be a useful tool for diagnosing late-onset neonatal sepsis, bacterial meningitis and other forms of organ-related bacterial infections and, above all, it can be used for guiding antibiotic stewardship in critical patients. The real impact of this application of PCT testing, however, still needs to be clearly defined. Laboratories should offer unrestricted PCT testing only to intensive care units (as an aid in decision for continuing or stopping antibiotics) and pediatric wards. For all other clinical wards, the laboratory should guide PCT requests and give them support towards the most appropriate approach to testing., (Copyright © 2019 Elsevier B.V. All rights reserved.)

The major source of errors producing unreliable laboratory test results is the pre-analytical phase with hemolysis accounting for approximately half of them and being the leading cause of unsuitable blood specimens. Hemolysis may produce interference in many laboratory tests by a variety of biological and analytical mechanisms. Consequently, laboratories need to systematically detect and reliably quantify hemolysis in every collected sample by means of objective and consistent technical tools that assess sample integrity. This is currently done by automated estimation of hemolysis index (HI), available on almost all clinical chemistry platforms, making the hemolysis detection reliable and reportable patient test results more accurate. Despite these advantages, a degree of variability still affects the HI estimate and more efforts should be placed on harmonization of this index. The harmonization of HI results from different analytical systems should be the immediate goal, but the scope of harmonization should go beyond analytical steps to include other aspects, such as HI decision thresholds, criteria for result interpretation and application in clinical practice as well as report formats. With regard to this, relevant issues to overcome remain the objective definition of a maximum allowable bias for hemolysis interference based on the clinical application of the measurements and the management of unsuitable samples. Particularly, for the latter a recommended harmonized approach is required when not reporting numerical results of unsuitable samples with significantly increased HI and replacing the test result with a specific comment highlighting hemolysis of the sample., (© 2013.)

Determination of serum soluble transferrin receptor (sTfR) has been proposed to identify iron-deficiency anemia (IDA) in patients affected by concurrent inflammatory disease that may spuriously increase ferritin concentration. The aim of this study was to critically review the available literature to assess the diagnostic efficacy of sTfR in complicated anemia. The criteria for study selection were: enrolment of patients with complicated anemia; bone marrow examination used as diagnostic gold standard for IDA; evaluation of sTfR vs. ferritin and binary data presentation. Six published studies met the criteria. However, the small size and wide heterogeneity of the studies did not allow us to conduct a meta-analysis. sTfR was overall more sensitive, even though it was evident that the ferritin sensitivity was influenced by selected cut-offs. Well-designed studies are still needed to define the added value, if any, of sTfR to ferritin for IDA detection in complicated anemia., (Copyright © 2014 Elsevier B.V. All rights reserved.)

Background: Glycated hemoglobin (HbA(1c)) has a key role for diagnosing diabetes and monitoring glycemic state. As recently reviewed, available data on HbA(1c) biological variation show marked heterogeneity. Here we experimentally revaluated these data using a well designed protocol., Methods: We took five EDTA whole blood specimens from 18 apparently healthy subjects on the same day, every two weeks for two months. Samples were stored at -80°C until analysis and assayed in duplicate in a single run by Roche Tina-quant® Gen.2 immunoassay. Data were analyzed by the ANOVA. To assess the assay traceability to the IFCC reference method, we preliminarily carried out a correlation experiment., Results: The bias (mean±SD) of the Roche immunoassay was 0.3%±0.7%, confirming the traceability of the employed assay. No difference was found in HbA(1c) values between men and women. Within- and between-subject CV were 2.5% and 7.1%, respectively. Derived desirable analytical goals for imprecision, bias, and total error resulted 1.3%, 1.9%, and 3.9%, respectively. HbA(1c) had marked individuality, limiting the use of population-based reference limits for test interpretation. The estimated critical difference was ~10%., Conclusions: For the first time we defined biological variation and derived indices for the clinical application of HbA(1c) measurements using an accurately designed protocol and an assay standardized according to the IFCC., (Copyright © 2011 Elsevier B.V. All rights reserved.)

Background: The measurement of glycated hemoglobin (HbA(1c)) has a pivotal role in monitoring glycemic state in diabetic patients. Furthermore, the American Diabetes Association has recently recommended the use of HbA(1c) for diabetes diagnosis, but a clear definition of the clinically allowable measurement error is still lacking. Information on biological variability of the analyte can be used to achieve this goal., Methods: We systematically reviewed the published studies on the biological variation of HbA(1c) to check consistency of available data in order to accurately define analytical goals., Results: The nine recruited studies were limited by choice of analytic methodology, population selection, protocol application and statistical analyses., Conclusions: There is an urgent need to determine biological variability of HbA(1c) using a specific and traceable assay, appropriate protocol and appropriate statistical evaluation of data., (2010 Elsevier B.V. All rights reserved.)