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Results are automatically calculated by the system as follows: HbA SB 1c sb (mmol/mol)=[HbA SB 1c sb ( mol/L)/total haemoglobin (mol/L)] × 1,000. A bias >1 mmol/mol for Alinity became however evident only in samples with HbA SB 1c sb values >=69 mmol/mol. Keywords: clinical governance; diabetes; HbA1c; metrological traceability; total laboratory automation EN clinical governance diabetes HbA1c metrological traceability total laboratory automation 441 450 10 02/07/22 20220201 NES 220201 Introduction There are approximately 500 million people living with diabetes mellitus (DM) worldwide [[1]]. Alinity showed a mean positive absolute bias of 0.54 mmol/mol (range: -0.4 to 2.6 mmol/mol), corresponding to a mean percentage difference of 0.87% (range: -1.13 to 2.74%). [Extracted from the article]

Previous studies reported lipase elevations in serum of COVID-19 patients trying to establish a causal link between SARS-CoV-2 infection and pancreatic damage. However, the degree and prevalence of hyperlipasemia was not uniform across studies. We retrospectively evaluated 1,092 hospitalized patients with COVID-19 and at least one available lipase result. The number and frequency of patients with lipase above the upper reference limit (URL), >3 URL, and >6 URL were estimated. Correlations between lipase values and other biomarkers of organ or tissue damage were performed to identify possible extra-pancreatic sources of lipase release. The potential prognostic role of lipase to predict death and intensive care unit (ICU) admission during hospitalization was also evaluated. Lipase was >URL in 344 (31.5%) of COVID-19 patients. Among them, 65 (5.9%) and 25 (2.3%) had a peak lipase >3 URL and >6 URL, respectively. In the latter group, three patients had acute pancreatitis of gallstone or drug-induced etiology. In others, the etiology of lipase elevations appeared multifactorial and could not be directly related to SARS-CoV-2 infection. No correlation was found between lipase and other tested biomarkers of organ and tissue damage. Lipase concentrations were not different between survivors and non-survivors; however, lipase was significantly increased (p<0.001) in patients admitted to the ICU, even if the odds ratio for lipase as predictor of ICU admission was not significant. Lipase was elevated in ∼1/3 of COVID-19 patients, but the clinical significance of this finding is unclear and irrelevant to patient prognosis during hospitalization. [ABSTRACT FROM AUTHOR]

It is unclear if mild-to-moderate dehydration independently affects mood without confounders like heat exposure or exercise. This study examined the acute effect of cellular dehydration on mood. Forty-nine adults (55 % female, age 39 (sd 8) years) were assigned to counterbalanced, crossover trials. Intracellular dehydration was induced with 2-h (0·1 ml/kg per min) 3 % hypertonic saline (HYPER) infusion or 0·9 % isotonic saline (ISO) as a control. Plasma osmolality increased in HYPER (pre 285 (sd 3), post 305 (sd 4) mmol/kg; P < 0·05) but remained unchanged in ISO (pre 285 (sd 3), post 288 (sd 3) mmol/kg; P > 0·05). Mood was assessed with the short version of the Profile of Mood States Questionnaire (POMS). The POMS sub-scale (confusion-bewilderment, depression-dejection, fatigue-inertia) increased in HYPER compared with ISO (P < 0·05). Total mood disturbance score (TMD) assessed by POMS increased from 10·3 (sd 0·9) to 16·6 (sd 1·7) in HYPER (P < 0·01), but not in ISO (P > 0·05). When TMD was stratified by sex, the increase in the HYPER trial was significant in females (P < 0·01) but not in males (P > 0·05). Following infusion, thirst and copeptin (surrogate for vasopressin) were also higher in females than in males (21·3 (sd 2·0), 14·1 (sd 1·4) pmol/l; P < 0·01) during HYPER. In conclusion, cellular dehydration acutely degraded specific aspects of mood mainly in women. The mechanisms underlying sex differences may be related to elevated thirst and vasopressin. [ABSTRACT FROM AUTHOR]

Objectives: Procalcitonin (PCT) has been proposed for differentiating viral vs. bacterial infections. In COVID-19, some preliminary results have shown that PCT testing could act as a predictor of bacterial co-infection and be a useful marker for assessment of disease severity. Methods: We studied 83 COVID-19 hospitalized patients in whom PCT was specifically ordered by attending physicians. PCT results were evaluated according to the ability to accurately predict bacterial co-infections and death in comparison with other known biomarkers of infection and with major laboratory predictors of COVID-19 severity. Results: Thirty-three (39.8%) patients suffered an in-hospital bacterial co-infection and 44 (53.0%) patients died. In predicting bacterial co-infection, PCT showed a relatively low accuracy (area under receiver-operating characteristic [ROC] curve [AUC]: 0.757; 95% confidence interval [CI]: 0.651–0.845), with a strength for detecting the outcome not significantly different from that of white blood cell count and C-reactive protein (CRP). In predicting patient death, PCT showed an AUC of 0.815 (CI: 0.714–0.892), not better than those of other more common laboratory tests, such as blood lymphocyte percentage (AUC: 0.874, p=0.19), serum lactate dehydrogenase (AUC: 0.860, p=0.47), blood neutrophil count (AUC: 0.845, p=0.59), and serum albumin (AUC: 0.839, p=0.73). Conclusions: Procalcitonin (PCT) testing, even when appropriately ordered, did not provide a significant added value in COVID-19 patients when compared with more consolidated biomarkers of infection and poor clinical outcome. The major application of PCT in COVID-19 is its ability, associated with a negative predictive value >90%, to exclude a bacterial co-infection when a rule-out cut-off (<0.25 μg/L) is applied. [ABSTRACT FROM AUTHOR]

This article discusses the importance of appropriate laboratory test orders in order to prevent misdiagnosis, incorrect treatment, and negative outcomes for patients. The authors highlight a study that introduced a decision support alert to improve compliance with clinical guidelines for ordering serum protein electrophoresis pattern (SPEP) testing with a concurrent serum free light chain (sFLC) measurement. The study found that the alert led to increased compliance and the identification of new diagnoses. However, the authors also acknowledge the potential for overordering if an order set defaults both SPEP and sFLC tests. The authors then present their own experience in verifying the appropriateness of sFLC orders in their academic institution, finding that 10-15% of orders were inappropriate. They suggest the need for specific interventions to reduce inappropriate orders, such as algorithmic approaches. [Extracted from the article]

This is vital in order to assure the correct differentiation, after a single hs-cTn measurement at ED admission, between patients with a negligible risk of cardiac adverse events who are potentially suitable for immediate discharge and those needing further evaluation in order to exclude/confirm AMI. Therefore, manufacturers of hs-cTn measuring systems should be encouraged to provide quality control materials that cover all the clinically relevant concentrations of the analyte, including those close to the LOD to monitor baseline drifts. [Extracted from the article]