Density, heterogeneity and deformability of red cells as markers of clinical severity in hereditary spherocytosis

Altres ajuts: This work was generated within the European Reference Network on Rare Hematological Diseases (ERN-EuroBloodNet) - FPA No. 739541Hereditary spherocytosis (HS) originates from defective anchoring of the cytoskeletal network to the transmembrane protein complexes of the red blood cell (RBC). Red cells in HS are characterized by membrane instability and reduced deformability and there is marked heterogeneity in disease severity among patients. To unravel this variability in disease severity, we analyzed blood samples from 21 HS patients with defects in ankyrin, band 3, á-spectrin or β-spectrin using red cell indices, eosin-5- maleimide binding, microscopy, the osmotic fragility test, Percoll density gradients, vesiculation and ektacytometry to assess cell membrane stability, cellular density and deformability. Reticulocyte counts, CD71 abundance, band 4.1 a:b ratio, and glycated hemoglobin were used as markers of RBC turnover. We observed that patients with moderate/severe spherocytosis have short-living erythrocytes of low density and abnormally high intercellular heterogeneity. These cells show a prominent decrease in membrane stability and deformability and, as a consequence, are quickly removed from the circulation by the spleen. In contrast, in mild spherocytosis less pronounced reduction in deformability results in prolonged RBC lifespan and, hence, cells are subject to progressive loss of membrane. RBC from patients with mild spherocytosis thus become denser before they are taken up by the spleen. Based on our findings, we conclude that RBC membrane loss, cellular heterogeneity and density are strong markers of clinical severity in spherocytosis

International practice variation in perioperative laboratory testing in glioblastoma patients-a retrospective cohort study

Purpose Although standard-of-care has been defined for the treatment of glioblastoma patients, substantial practice variation exists in the day-to-day clinical management. This study aims to compare the use of laboratory tests in the perioperative care of glioblastoma patients between two tertiary academic centers-Brigham and Women's Hospital (BWH), Boston, USA, and University Medical Center Utrecht (UMCU), Utrecht, the Netherlands. Methods All glioblastoma patients treated according to standard-of-care between 2005 and 2013 were included. We compared the number of blood drawings and laboratory tests performed during the 70-day perioperative period using a Poisson regression model, as well as the estimated laboratory costs per patient. Additionally, we compared the likelihood of an abnormal test result using a generalized linear mixed effects model. Results After correction for age, sex, IDH1 status, postoperative KPS score, length of stay, and survival status, the number of blood drawings and laboratory tests during the perioperative period were 3.7-fold (p < 0.001) and 4.7-fold (p < 0.001) higher, respectively, in BWH compared to UMCU patients. The estimated median laboratory costs per patient were 82 euros in UMCU and 256 euros in BWH. Furthermore, the likelihood of an abnormal test result was lower in BWH (odds ratio [OR] 0.75, p < 0.001), except when the prior test result was abnormal as well (OR 2.09, p < 0.001). Conclusions Our results suggest a substantially lower clinical threshold for ordering laboratory tests in BWH compared to UMCU. Further investigating the clinical consequences of laboratory testing could identify over and underuse, decrease healthcare costs, and reduce unnecessary discomfort that patients are exposed to.Scientific Assessment and Innovation in Neurosurgical Treatment Strategie

Megakaryocyte lineage development is controlled by modulation of protein acetylation

Treatment with lysine deacetylase inhibitors (KDACi) for haematological malignancies, is accompanied by haematological side effects including thrombocytopenia, suggesting that modulation of protein acetylation affects normal myeloid development, and specifically megakaryocyte development. In the current study, utilising ex-vivo differentiation of human CD34+ haematopoietic progenitor cells, we investigated the effects of two functionally distinct KDACi, valproic acid (VPA), and nicotinamide (NAM), on megakaryocyte differentiation, and lineage choice decisions. Treatment with VPA increased the number of megakaryocyte/erythroid progenitors (MEP), accompanied by inhibition of megakaryocyte differentiation, whereas treatment with NAM accelerated megakaryocyte development, and stimulated polyploidisation. Treatment with bot

The Impact of a Standardized Pre-visit Laboratory Testing Panel in the Internal Medicine Outpatient Clinic: a Controlled “On-Off” Trial

Background: In several settings, a shorter time to diagnosis has been shown to lead to improved clinical outcomes. The implementation of a rapid laboratory testing allows for a pre-visit testing in the outpatient clinic, meaning that test results are available during the first outpatient visit. Objective: To determine whether the pre-visit laboratory testing leads to a shorter time to diagnosis in the general internal medicine outpatient clinic. Design: An “on-off” trial, allocating subjects to one of two treatment arms in consecutive alternating blocks. Participants: All new referrals to the internal medicine outpatient clinic of a university hospital were included, excluding second opinions. A total of 595 patients were eligible; one person declined to participate, leaving data from 594 patients for analysis. Intervention: In the intervention group, patients had a standardized pre-visit laboratory testing before the first visit. Main Measures: The primary outcome was the time to diagnosis. Secondary outcomes were the correctness of the preliminary diagnosis on the first day, health care utilization, and patient and physician satisfaction. Key Results: There was no difference in time to diagnosis between the two groups (median 35 days vs 35 days; hazard ratio 1.03 [0.87–1.22]; p =.71). The pre-visit testing group had higher proportions of both correct preliminary diagnoses on day 1 (24% vs 14%; p =.003) and diagnostic workups being completed on day 1 (10% vs 3%; p <.001). The intervention group had more laboratory tests done (50.0 [interquartile range (IQR) 39.0–69.0] vs 43.0 [IQR 31.0–68.5]; p <.001). Otherwise, there were no differences between the groups. Conclusions: Pre-visit testing did not lead to a shorter overall time to diagnosis. However, a greater proportion of patients had a correct diagnosis on the first day. Further studies should focus on customizing pre-visit laboratory panels, to improve their efficacy. Trial Registration: NL500

Heriditare hemochromatose: recente ontwikkelingen in de diagnostiek

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Detection of tumor DNA in serum of colorectal cancer patients

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Information comparison of the effects of drugs on laboratory tests in drug labels and Young's book

Item does not contain fulltextAbstract Background: The effects of drugs on laboratory tests may lead to misinterpretation of laboratory data, unnecessary tests, higher costs and missed diagnoses. This study compared the information on drug-laboratory effects (DLE) described in 200 drug labels with that in Young's book. Methods: Information on DLE was searched in the drug labels of 200 frequently prescribed drugs using the keywords 'interfer*', 'influence', and 'laborator*'. This information was compared with the information in Young's book. Each item of information scored 1 point if it was specific and exactly the same. Primary outcome was the percentage of DLE with completely the same information. Results: In 23 (11.5%) of the 200 drug labels 83 DLE were described. Most DLE were described in drug labels of contraceptives (71%) and antibacterials (15%). The most frequently affected laboratory tests were adrenal gland (17%), urine tests (15%), liver tests (10%) and renal function tests (10%). Comparison of six DLE with Young's book was not possible because the information was not described in the book. Twelve (14.5%) DLE of the information in the drug label was identical to that in Young's book. Detailed information about nature of the effect, strength of the effect and body fluid was not described in the drug labels. Conclusions: In a limited number of DLE in the drug labels the information was the same as in Young's book. Overall, the information on DLE provided in drug labels is unclear, inconsistent and incomplete and does not support healthcare professionals in making evidence-based monitoring decisions

Instructions on laboratory monitoring in 200 drug labels.

Item does not contain fulltextAbstract Background: Monitoring drug treatment is important to assess the therapeutic effects and to prevent adverse drug reactions. Unfortunately, the clinical evidence for monitoring is often missing. To attain evidence-based laboratory monitoring and to improve patient safety it is mandatory for the clinical chemist to develop effective and rational methods for monitoring. The legal source for this evidence-based information is the drug label. We analysed frequency, nature, and applicability of instructions on laboratory monitoring described in 200 drug labels. Methods: The applicability of instructions was assessed with an adapted Systematic Information for Monitoring score. Seven items of information were evaluated: why to monitor, what to monitor (essential), when to start or stop monitoring, how frequently to monitor, critical value (essential) and how to respond (essential). Each item scored one point when information was described specifically, otherwise the score was zero. Instructions were applicable if all three essential items scored. Results: In 131 drug labels, 566 instructions on laboratory monitoring were identified, an average of 2.8 per drug label. Kidney, liver, electrolyte, and drug monitoring were important biomarker categories (71%). The median applicability score was 2.1 (0-6) and 95 (17%) instructions were applicable. Six determinants were associated with applicable instructions: kidney (OR 7.0; 95% CI 4.4-11.3), creatine phosphokinase (4.5; 1.5-13.6), drug selection (6.8; 4.0-11.7), dose adjustments (2.4; 1.5-3.7), year on the market 2000-2007 (2.6; 1.1-6.1) and statins (4.8; 2.5-9.0). Conclusions: Drug labels frequently describe instructions on laboratory monitoring, but these are ambiguous and incomplete and clinical applicability for the professional is limited