International journal of laboratory hematology最新文献

Introduction: Complete blood count is the most common, basic test requisitioned in hematology. The normal reference ranges of hematological parameters are required owing to variable socioeconomic, environmental, and genetic factors in populations. The current study determines the reference ranges of the healthy Indian donor population of a high socioeconomic group.

Methods: The study was conducted in the Department of Transfusion Medicine at a tertiary care hospital in India and included 4098 individuals, aged 18-65 years coming for voluntary blood donation from July 2021 to October 2022. Blood samples were collected in K2EDTA, analyzed on the Sysmex XN-1500 hematology analyzer, and using statistical tools, the normal reference ranges were calculated.

Results: The reference ranges for hemoglobin (HB) (137-185 g/L), WBC (5.1-11.7 × 10⁹/L), platelet count (115.6-370.0 × 10⁹/L) were noted. [Correction added on 22 10 2024, after first online publication: The WBC value has been corrected in this version.] No statistically significant changes were observed in different age groups. There were gender-wise differences noted in nearly all parameters. The HB and hematocrit (HCT) range was slightly higher in other Indian and other Asian populations with comparable values with the Chinese, Korean populations, and Western populations; RBC parameters were overall comparable with minor differences; the WBC count was higher than the other Indian and Asian populations particularly the upper limit of lymphocyte and monocyte; and the range of platelet counts had a comparable upper limit with all populations and had the lowest lower value in males in our study, which was comparable to only the Chinese population.

Conclusions: It is concluded that reference ranges of common parameters were calculated with minor changes noted in all hematological parameters on comparing with other Indian, Asian population, and Western data.

Objectives: This study aimed to determine a definition for significant platelet clumping (PC) and evaluate the performance of the Sysmex XN instrument for detecting platelet clumps.

Methods: For part 1, 372 specimens with a 'PLT_clump?' flag in XN-9000 were classified into five groups according to the average number of PCs. We compared the initial platelet count (measured by XN-9000 using impedance method) and corrected platelet count (counted optically or re-analyzed by XN-9000 using vortexed or re-collected sample) of each group. For part 2, 1000 specimens with a PC flag divided into three subgroups {group N (PC = 0), Y (PC ≥ 1), and Z (microscopic fibrin clot)} and additional two groups {group S (PC(+) specimens without any flag and with flags of other categories) and group NC (negative control)} were collected. Positive predictive value (PPV), negative predictive value (NPV), sensitivity and specificity of PC detection of XN-9000 were obtained and the platelet counts and four indices (PDW, MPV, P_LCR, and PCT) of groups NC, N, Y, Z, and S were compared to detect PC more precisely.

Results: In part 1, all groups showed significant difference between the initial and corrected platelet counts. In part 2, PPV, NPV, prevalence, sensitivity, and specificity were 41.5%, 56.5%, 43.4%, 2.18%, and 98.3%, respectively. The platelet counts and four indices showed statistical differences for detecting PCs, and especially PDW and P_LCR were significantly smaller in group Z than group N or Y.

Conclusions: We suggest the definition of significant PC by the presence of at least three platelets. In addition, utilizing platelet-related indices should be developed to improve the efficiency of the PC detection.

Objectives: Immature platelet fraction (IPF) for differentiating bacteremia has been explored, whereas its prognostic correlation remains uncertain. This study aims to confirm the predictive capability of IPF for bacteremia and investigate its association with prognosis.

Methods: Patients with complete blood count (CBC) on the blood culture day (D1) and the preceding day (D0) were retrospectively recruited and categorized into bacteremia and nonbacteremia groups. Immature platelet (IP) analysis, alongside CBC, was conducted. Delta IPF, defined by the absolute values of D1 minus D0 results was calculated. The ability to distinguish bacteremia from nonbacteremia patients, and the correlation with mortality were analyzed.

Results: From February to December 2020, a total of 150 patients were enrolled, with 75 having bacteremia. The specificity for delta IPF ≥3.4% to predict bacteremia was 97.3% (95% confidence interval [CI]: 90.7-99.7). When delta IPF ≥3.4% combined with procalcitonin ≥0.5 (ng/mL), the sensitivity was 90.5% (95% CI: 69.6%-98.8%). Within the bacteremia group, delta IPF and the proportion of patients with delta IPF ≥1.5% were significantly higher in nonsurvival, while delta platelet levels did not. Furthermore, delta IPF ≥1.5% was independently associated with 30-day mortality (adjusted odds ratio: 3.88, 95% CI: 1.2%-11.4%; p = 0.020). The 30-day survival curve demonstrated a significant difference between patients with delta IPF ≥1.5% and those without (p < 0.001).

Conclusions: Delta IPF correlates with mortality in bacteremia patients. Our findings suggest IPF not only helps detect bacteremia but also predicts prognosis in the early stage.

Castleman Disease (CD) is a rare lymphoproliferative disorder that can be separated into two primary forms: Unicentric Castleman disease (UCD) and multicentric Castleman disease (MCD). UCD is localized, while MCD is systemic. Though UCD generally has a favorable prognosis following surgical resection, more aggressive forms of this disease have been identified, including cases associated with dendritic and spindle cell proliferation. Genetic analysis has deepened our understanding of UCD. Despite advancements in better understanding the pathophysiology of UCD, challenges persist in the diagnosis, management, and treatment due to its rarity and heterogeneity. Here, we review current knowledge on UCD, highlighting the epidemiology, clinical presentation, diagnostic criteria, and treatment options while emphasizing the need for further research and innovation in therapeutic strategies.

Introduction: The entity entitled bleeding disorder of unknown cause (BDUC) qualifies individuals displaying a mild haemorrhagic profile but normal routine coagulation tests. This study was designed to evaluate whether collagen-binding assay for von Willebrand Factor (VWF) measurement (VWF:CB) could allow to diagnose VW disease in such patients.

Methods: A large screening was conducted prospectively in two University Hospitals, using the bleeding assessment tool (BAT) recommended by the International Society of Thrombosis and Hemostasis. Patients with an abnormal BAT were confirmed to have a normal complete hemostatic evaluation. A large range of VWF assays was then carried out on a new blood sample for the 68 individuals (91% women) thus identified. Of note, five VWF:CB using different types of collagen were performed, as well as a comprehensive sequencing of the VWF gene.

Results: Of this cohort, only 3 individuals (all blood group O), had a VWF:CB between 40 and 50 IU/dL. No unknown anomaly of the VWF gene was disclosed. Of note, 54% of these patients had unexplained abnormal occlusion times on PFA-200.

Conclusion: This study identified 68 cases of BDUC, after screening of a large population, indicating a low incidence. Only 3 cases were potentially confirmed as displaying moderate von Willebrand disease. VWF:CB tests were globally normal in the 65 other patients of the cohort.

Trial registration: ClinicalTrials.gov identifier: NCT0279220.

Introduction: Ph-like ALL has gene expression profile similar to Ph-positive ALL but without the BCR::ABL1 fusion. The disease presents higher rates of severe clinical features and is associated with unfavorable outcomes. There is still no standard pipeline for molecular characterization of the disease, and no valid predictor gene panel is available worldwide.

Methods: We performed expression microarray on 25 B-cell ALL and 6 Ph-positive B-cell ALL to cluster and identify the transcriptional signature of Ph-like ALL. qRT-PCR was used to confirm the expression of candidate genes.

Results: Four out of 25 samples (16%) shared gene expression signatures related to and clustered with control Ph-positive samples. Analysis of genes differentially expressed in Ph-like B-cell ALL and evidentially functional in normal blood cell development and leukemogenesis, we selected genes as potential biomarkers for Ph-like B-cell ALL in our dataset: ADGRE2, CD9, EPHA7, FAM129C, TCL1A, and VPREB1. Those genes were filtered by Ph-like gene signatures obtained from distinct reliable data, resulting in five genes, CA6, CHN2, JAK1, JCHAIN, and PON2, selected for validation by qRT-PCR. The Ct values of genes, including CA6 (p = 0.0017), PON2 (p = 0.0210), TCL1A (p = 0.0064), and VPREB1 (p = 0.0338), were significant in Ph-like ALL. GSEA analysis identified VPREB1 as enrichment in the KRAS signaling pathway, and several genes that interact with VPREB1 were reported as critical molecules involved in the leukemogenesis of B-cell ALL.

Conclusion: In summary, we demonstrate using a gene expression microarray for classifying Ph-like B-cell ALL and highlight VPREB1 as a potential biomarker for this disease.