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Computerized hematology: operation of a high-volume hematology laboratory.

Operation of automated hematology testing, on-line to a laboratory-dedicated computer, is described. The computer stores, retrieves and monitors the results of two Model S Sr. Coulter Counters, three Technicon platelet counters, one Electra 600-D, and six leukocyte differential consoles, which are interphased to the computer. All other hematology tests are batch-entered via the keyboard of cathode-ray tubes. The computer generates specimen labels, worksheets, and lists of incomplete tests, monitors all on-line instruments, and performs all the calculations used in the procedures of quality control. Results are available instantaneously on cathod-ray tubes strategically located in patient-related areas throughout the institution. These can be obtained as all of the results for a given day or as cumulative summaries or histogram-type plots of results for a given day.

Autoanalysis

Limited evidence for causal effects of circulating inflammatory cytokines on the risk of selected hematologic malignancies: a two-sample Mendelian randomization study.

BACKGROUND: Hematologic malignancies have been linked to inflammatory cytokine levels; however, whether a causal relationship exists between inflammatory cytokines and hematologic malignancies remains uncertain. This study aimed to explore the causal association between inflammatory cytokines and hematologic malignancies using Mendelian randomization (MR) analysis. METHODS: Summary statistics from genome-wide association studies of 41 inflammatory cytokines, C-reactive protein, and selected hematologic malignancies were obtained from the UK Biobank, YFS, FINRISK, and FinnGen consortia. The inverse-variance weighted (IVW) method with false discovery rate (FDR) adjustment was used as the primary MR method. The weighted median, MR-Egger regression, MR-Robust Adjusted Profile Score, and MR pleiotropy residual sum, and outlier methods were used as supplied analyses. MR-Egger intercept estimates and Cochran's Q test were used to assess pleiotropy and heterogeneity. Leave-one-out analysis and the MR Steiger test were used to assess sensitivity and the direction of causality. RESULTS: Although the primary IVW analysis indicated that some inflammatory cytokines were associated with risk of selected hematologic malignancies, no significant causal relationship between cytokines and selected hematologic malignancies was detected after FDR correction. CONCLUSION: Genetically predicted cytokine levels did not have a significant effect on the risk of the selected hematologic malignancies. Further research is warranted to confirm the potential association between cytokine levels and the risk of selected hematologic malignancies.

C-reactive protein

Prolonged SARS-CoV-2 infection in hematologic malignancies: clinical impact, risk factors and intra-host viral evolution.

INTRODUCTION: Prolonged SARS-CoV-2 infection in hematologic patients may go unrecognized. The aim of the study is to describe the incidence, risk factors, viral evolution and clinical outcomes of prolonged SARS-CoV-2 infection in patients with hematologic malignancies. METHODS: This is a prospective, observational study. We performed a longitudinal follow-up rRT-PCR with cycle threshold (Ct) assessment until negativization to 500 patients diagnosed with hematologic malignancies who suffered SARS-CoV-2 infection between March 2020 and August 2023. We considered prolonged COVID-19 to a positive rRT-PCR with a Ct <35 beyond 30 days after microbiological diagnosis with the same viral variant. RESULTS: Prolonged SARS-CoV-2 infection is a complication in 44.8% (156/348) of patients diagnosed with hematologic malignancies with a median time of rRT-PCR positivity of 58 days (IQR 43-88). Active treatment with bispecific antibodies, anti-CD20 antibodies, BTK inhibitors and immunosuppressive drugs for GvHD are significantly associated with prolonged viral shedding; as well as lack of vaccination, lesser booster vaccine doses, absence of anti-S seroconversion after immunization, severe acute infection and delayed antiviral treatment. A 56.4% (88/156) of patients exhibit a pattern of remitting and relapsing symptoms and fluctuant viral load. During those exacerbations, 70.5% of patients experienced an increase in the severity of the acute infection and 34% developed pneumopathy, particularly organizing pneumonia. Persistent COVID-19 caused 54.5% (85/156) of patients to interrupt and 19.9% (31/156) to suspend indefinitely their hematologic treatments. Viral intra-host mutations across the entire viral genome, predominantly within the spike were detected in most patients with prolonged COVID-19, especially in those who received anti-SARS-CoV-2 mAb as sotrovimab (E340, R346, K356) and tixagevimab/cilgavimab (R346, K444 and G446). These substitutions are associated with reduced viral susceptibility. DISCUSSION: Prolonged SARS-CoV-2 infection in hematologic patients is frequent and leads to persistent viral replication, significant morbidity and the emergence of intra-host viral mutations. Optimizing treatments and monitoring viral clearance are medical needs for high-risk patients.

Humans

Hematologic values in normal pygmy goats.

Pygmy goat blood was analyzed to determine hematologic base-line values. Male, female, and castrated male goats were used in this investigation. Influence of age on these variables was also studied. Most of the hematologic values of pygmy goats were similar to the reference values reported for several other ruminant species and for man. Values significantly different from reference values in man were as follows: Erythrocyte counts were slightly higher than for human beings. The relative lymphocyte count was comparable to that in infants, but significantly greater than values in adult human beings. Also, although not of statistical significance, hemoglobin levels in goats were slightly lower than in both infants and adult human beings, and the leukocyte count was just slightly higher than the usual values for infants and adult human beings. Thus, of 9 hematologic variables, only 1 was significantly different from those in man, and 2 were slightly different. The fact that pygmy goats have hematologic responses similar to those of man, and the similarity of hematologic values to reference values in man, further enhances the pygmy goat for use as an experimental animal.

Animals

Liquid Biopsy in Hematologic Malignancies: Advances, Challenges, and Future Directions.

Hematologic malignancies are cancers that affect the bone marrow, lymphatic system, and hematopoietic cells, resulting in various cancer subtypes and clinical manifestations. Currently, tissue biopsy in hematological malignancies is typically performed for genomic profiling and has limitations such as invasiveness, lengthy procedures, and high expense. On the other hand, liquid biopsy serves as an emerging tool used for examining the blood or other bodily fluids of patients, for the purpose of identifying genetic mutations, biomarkers, or cancer-related substances. Liquid biopsy biomarkers include circulating tumor DNA (ctDNA), microRNA (miRNA), and exosomes. In the context of hematological malignancies, these biomarkers offer valuable insights into disease etiology, enabling effective disease monitoring and guiding treatment decisions owing to their differential expression patterns. This review critically examines the recent advancements and effectiveness of liquid biopsy biomarkers in the areas of diagnosis, therapy, and monitoring. The challenges and future directions of liquid biopsy for hematological malignancies are also discussed.

Humans

Performance of Automated Hematology Analyzer Criteria in Detecting Peripheral Blood Smear Abnormalities: A Systematic Literature Review.

OBJECTIVES: Criteria for visual examination of stained peripheral blood smear (PBS) differ among institutions in the United States and internationally. In an effort to standardize review criteria, the International Consensus Group for Hematology Review (ICGHR) proposed in 2005 a consensus list of rules for CBC findings that should trigger a review of automated cell counter results and potentially lead to further testing or blood smear review. The primary aim of this paper is to report on the published literature in the past 20&#x2009;years regarding PBS review criteria and their ability to identify relevant peripheral blood abnormalities. METHODS: We performed a systematic review of the published literature from 2005 to 2025 to investigate and summarize PBS review criteria and performance in the context of automated hematology analyzers in clinical laboratories. RESULTS: Of 5351 citations, 68 studies met our search criteria. These studies included 22 countries and all major hematology analyzer manufacturers. Marked variability was observed in study populations, analyzer flagging criteria, details of PBS visual review, definitions of a "positive" smear, and approaches to statistical data analysis. Across studies, the blast flag sensitivity ranged from 18% to 100% while the blast flag specificity ranged from 17% to 100%. Wide ranges in sensitivity/specificity were also seen for atypical and/or abnormal lymphocyte flags across studies. For studies analyzing the same patient population, less striking variation was seen across instruments. CONCLUSIONS: This systematic review provides a 20-year overview of the literature, highlighting significant variability in PBS review criteria, dependence on study design and hematology analyzer, and the importance of developing harmonized evidence-based guidelines.

Humans

The ASH HematOmics Program supports integrative analysis of genomic and clinical data in hematologic diseases.

The increasing availability of genomic and transcriptomic sequencing has uncovered diverse genomic alterations and distinct gene expression profiles driving hematologic diseases, yet a data integration and sharing platform dedicated to hematology remains lacking. We developed the American Society of Hematology (ASH) HematOmics Program (ASHOP; ashop.hematology.org), a resource for exploring somatic alterations and gene fusions, transcriptomic results, and clinical data from 5960 patients spanning B-cell precursor and T-cell acute lymphoblastic leukemia, acute myeloid leukemia, myelodysplastic syndromes, and chronic lymphocytic leukemia. Users can explore genomic alteration landscapes and comutation patterns via lollipop and matrix plots and analyze significantly altered genes in user-defined subcohorts. Transcriptomes can be explored through interactive uniform manifold approximation and projections, clustering, differential expression, and pathway enrichment. Genomic, transcriptomic features, and clinical outcomes can be correlated in a user-driven manner or combined to precisely define study cohorts. We illustrate the following 4 use cases of ASHOP: (1) stratification of DUX4-rearranged B-cell leukemias into Early/Multipotent and Committed subgroups with distinct outcomes, (2) characterization of HOXA/HOXB expression patterns in acute myeloid leukemias, (3) correlating mutational burden with mismatch repair deficiency and mutational signatures, and (4) investigation of TP53 alteration landscape. ASHOP is an open-access resource to inform genomic and transcriptomic data interpretation for hematologic malignancies and will expand to support additional diseases and data modalities from the ASH community.

Humans