International journal of laboratory hematology最新文献

{"title":"Acute Myeloid Leukemia With Extreme Hypereosinophilia Without Canonical Genetic Drivers: A Diagnostic Challenge.","authors":"Clara Assadi-Gazvini, Camille Bailleul, Pierre Arnautou, Carine Hejl, Quentin Amiot","doi":"10.1111/ijlh.70220","DOIUrl":"https://doi.org/10.1111/ijlh.70220","url":null,"abstract":"","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148703180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Spurious Rise in Nucleated Red Blood Cells Unmasks Circulating Candida albicans.","authors":"Manisha Singh, Sanchit Jain, Lakshita Singh","doi":"10.1111/ijlh.70218","DOIUrl":"https://doi.org/10.1111/ijlh.70218","url":null,"abstract":"","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148703165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comment on \"Unexplained Elevated Vitamin B12: Consider Macro-B12\".","authors":"Maajid Mohi Ud Din Malik, Rajesh Prasad Jayaswal","doi":"10.1111/ijlh.70215","DOIUrl":"https://doi.org/10.1111/ijlh.70215","url":null,"abstract":"","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148687191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expression of Peripheral Blood microRNA-126 and Its Prognostic Value in Patients With Acute Myeloid Leukemia.","authors":"Haiying Zhang, Huaqing Zhang, Lingzhou Xia, Yuting Chen, Changkun Chen, Dong He, Zhiqiang Zhong, Chunju Wen, Dongting Liu, Mingxing Zhong","doi":"10.1111/ijlh.70211","DOIUrl":"https://doi.org/10.1111/ijlh.70211","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to characterize peripheral blood microRNA (miR)-126 expression and evaluate its prognostic significance in patients with acute myeloid leukemia (AML).</p><p><strong>Methods: </strong>AML patients (n = 78) and healthy volunteers (n = 81) were enrolled in this retrospective study as the AML and Control groups. Clinical data were collected, and peripheral blood miR-126 expression was measured by RT-qPCR. Receiver operating characteristic (ROC) curves assessed the prognostic value of miR-126. Kaplan-Meier analysis compared survival outcomes between patients with high and low miR-126 expression. Univariate and multivariate Cox regression analyses were conducted to determine whether miR-126 was an independent risk factor for overall survival (OS) and progression-free survival (PFS).</p><p><strong>Results: </strong>Peripheral blood miR-126 expression was significantly higher in the AML group than in controls [1.30 (0.51-2.30) vs. 0.42 (0.30-0.62)]. The area under the ROC curve (AUC) of miR-126 to distinguish AML patients from healthy controls was 0.815, with 62.82% sensitivity and 93.83% specificity at a cutoff value of 0.86. Patients with high miR-126 expression had higher proportions of extramedullary infiltration and high-risk European LeukemiaNet classification and significantly shorter OS and PFS. The AUC of miR-126 for predicting poor prognosis was 0.796, with 73.20% sensitivity and 75.70% specificity at a cutoff value of 1.297. After adjustment, miR-126 was confirmed as an independent predictor of reduced OS and PFS.</p><p><strong>Conclusion: </strong>Elevated peripheral blood miR-126 expression is associated with reduced OS and PFS of patients with AML and may serve as a useful biomarker for prognostic assessment.</p>","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148687204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-Enabled Automated Schistocyte Classification in Peripheral Blood for TMA Auxiliary Diagnosis.","authors":"Lei Shang, Chao Fang, Dongshuo Li, Xuesong Wang, Jiani Yu, Yunchu Cui, Jingliang Chen, Xuekai Liu","doi":"10.1111/ijlh.70209","DOIUrl":"https://doi.org/10.1111/ijlh.70209","url":null,"abstract":"<p><strong>Background: </strong>Schistocytes are critical morphological markers for thrombotic microangiopathy (TMA) diagnosis. Manual identification is hampered by inconsistent standards and high interobserver variability, compromising accuracy. Although AI has advanced in hematology, AI-enabled schistocyte classification remains under-studied, creating a clinical gap.</p><p><strong>Methods: </strong>We constructed a two-stage AI system for segmentation and classification. Three segmentation models (U-Net, ENet, and R2U-Net) were assessed on 25 067 RBCs from 183 patients. ResNet-50 and Xception were trained on 28 586 RBCs, including 13 125 ICSH-classified schistocytes, using grayscale and RGB images. Clinical validation was performed on 156 784 RBCs from 219 patients. Performance was evaluated using recall, specificity, precision, and F₁ score.</p><p><strong>Results: </strong>R2U-Net achieved the best segmentation (recall = 0.868, F₁ = 0.881, mIoU = 0.807). The Xception-RGB model performed best in classification (weighted F₁ = 0.957), with high precision and recall for schistocyte subtypes. Clinical validation showed excellent reliability with all weighted metrics at 0.998.</p><p><strong>Conclusions: </strong>This two-stage framework enables accurate schistocyte analysis with better feature representation using RGB images and Xception. It improves diagnostic accuracy and reproducibility, supporting TMA auxiliary diagnosis and clinical decision-making.</p>","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148674844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Single-Molecule Real-Time Sequencing Reveals Hidden Diversity and Corrects Misdiagnosis in α-Thalassemia.","authors":"Youqing Fu, Hongyi Liu, Ying Zhao, Peng Lin, Yunshi Dai, Ronghua Zhang, Jiwu Lou, Tizhen Yan","doi":"10.1111/ijlh.70212","DOIUrl":"https://doi.org/10.1111/ijlh.70212","url":null,"abstract":"<p><strong>Objectives: </strong>Conventional methods for α-thalassemia gene diagnosis, such as Gap-PCR, are primarily designed for common deletions. However, their limitations in detecting complex rearrangements that maintain the total copy number of α-globin genes can lead to misdiagnosis, as exemplified by the misinterpretation of \"-α^3.7 heterozygous\" carriers. This study aimed to evaluate the application of single-molecule real-time (SMRT) sequencing in addressing these diagnostic challenges.</p><p><strong>Materials and methods: </strong>From January 2023 to April 2025, 9180 individuals from Dongguan were enrolled. Peripheral blood samples underwent routine thalassemia genetic testing. Samples identified as -α^3.7/αα by Gap-PCR were further analyzed using multiplex ligation-dependent probe amplification (MLPA) and SMRT sequencing.</p><p><strong>Results: </strong>SMRT sequencing demonstrated high precision in distinguishing genotypes that are difficult to differentiate by traditional methods. It accurately identified benign variants like HKαα and pathogenic triplications such as ααα^anti4.2, which is crucial for assessing the risk of offspring developing intermediate β-thalassemia. Furthermore, the technology successfully revealed \"hidden\" balanced complex rearrangements (e.g., -α^3.7/ααα^anti3.7) within the blind spots of conventional techniques. Notably, a specific genotype, -α^3.7/αα12, was reported for the first time in the Chinese population. Additionally, the sequencing process concurrently enabled the detection of point variants, achieving a comprehensive \"one-stop\" assessment.</p><p><strong>Conclusion: </strong>This study demonstrates that SMRT sequencing technology, leveraging its advantages of long reads, single-molecule resolution, and haplotype phasing, can significantly improve the diagnostic accuracy for complex α-thalassemia genotypes. It effectively corrects misdiagnoses and omissions associated with conventional methods, thereby providing a reliable basis for precise genetic counseling and risk assessment.</p>","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148674906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Usefulness of Automated Hematology System Sysmex XN-3100 for the Quantification of Schistocytes and Early Detection of the Underlying Thrombotic Microangiopathy.","authors":"Marija Miloš, Laura Matković, Koraljka Gjadrov Kuveždić, Sunčica Ries, Marijana Medić, Dražen Pulanić, Désirée Coen Herak","doi":"10.1111/ijlh.70208","DOIUrl":"https://doi.org/10.1111/ijlh.70208","url":null,"abstract":"<p><strong>Introduction: </strong>Light microscopy is still the gold standard method for schistocyte counting in the blood smear. Some hematology analyzers can quantitatively determine fragmented red blood cells (FRC) as part of the full blood count. We examined the usefulness of two quantitative schistocyte methods on Sysmex XN-3100, comparing them with the standard reference method (SCHISTO-LM).</p><p><strong>Methods: </strong>FRC count was performed by fluorescent flow cytometry in the reticulocyte channel. A locally designed method was applied on DI-60 digital morphology analyzer (SCHISTO-DI), allowing schistocyte quantification according to ICSH recommendations, using the RBC menu. FRC ≥ 1.0% and schistocytes > 2/high-power field were considered positive. Measurements were performed in 91 blood samples/peripheral blood smears of 54 patients with a suspicion of thrombotic microangiopathy (TMA).</p><p><strong>Results: </strong>Significantly higher FRC (p = 0.004), SCHISTO-DI (p < 0.001), and SCHISTO-LM (p < 0.001) were found in TMA-positive patients compared to TMA-negative and patients in remission. Stratification of TMA-positive patients by TMA type revealed no significant differences for all tests. Both positive SCHISTO-LM and SCHISTO-DI were recorded in 15/91 samples (sensitivity = 100%, 95% CI = 78.2-100.0 and negative predictive value (NPV) = 100%, 95% CI = 94.4-100.0). False-negative FRC results were detected in 5/15 schistocyte-positive samples (sensitivity = 66.7%, 95% CI = 38.4-88.2; NPV = 92.9%, 95% CI = 86.3-96.4). The highest agreement was revealed between SCHISTO-DI and SCHISTO-LM (κ = 0.637). SCHISTO-DI demonstrated the best AUC for discrimination between TMA-positive and TMA-negative patients (0.942; 95% CI = 0.843-0.987), and similar AUC (0.818; 95% CI = 0.700-0.905) as SCHISTO-LM (0.820; 95% CI = 0.702-0.906) for discrimination between TMA-positive and patients with TTP/aHUS in remission.</p><p><strong>Conclusion: </strong>Despite the slightly lower sensitivity of FRC, the newly designed SCHISTO-DI method demonstrated excellent sensitivity and NPV for schistocyte detection, concordant with SCHISTO-LM results.</p>","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148671760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analytical and Clinical Performance of the Atellica HEMA 580 Haematology Analyzer: A Comparison With the ADVIA 2120i.","authors":"Hyeongyu Lee, Jooyoung Cho, Gilsung Yoo, Juwon Kim","doi":"10.1111/ijlh.70107","DOIUrl":"10.1111/ijlh.70107","url":null,"abstract":"<p><strong>Introduction: </strong>The Atellica HEMA 580 is a novel haematology analyser providing eight-part leukocyte differential and optical platelet (PLT) counting. We compared its analytical and clinical performance with that of the ADVIA 2120i.</p><p><strong>Methods: </strong>A total of 796 residual whole blood specimens were analysed. Carryover, linearity and precision were assessed. Inter-instrument comparison was performed for complete blood counts and five-part differential (5-Diff) parameters using Passing-Bablok regression and Bland-Altman analyses. Additional regression against manual microscopy was conducted for flagged samples, including PLT, reticulocytes and common 5-Diff parameters.</p><p><strong>Results: </strong>Carryover was < 1% for all parameters. Linearity was excellent (R² ≥ 0.99). Precision was within acceptable limits; coefficient of variant was < 5% for most parameters, except optical PLT, lymphocytes, monocytes, eosinophils and nucleated red blood cells under specific conditions. Inter-instrument comparisons revealed remarkably high correlations (r ≥ 0.9) for most parameters, whereas mean corpuscular haemoglobin concentration (MCHC) (r = 0.429) and basophils (r = 0.627) showed weaker concordance. Passing-Bablok regression indicated minimal systematic or proportional bias for most parameters. Bland-Altman analysis showed that > 95% of results were within the 95% limits of agreement, except white blood cells, mean corpuscular volume and PLT (94.7%-94.8%). Comparison with microscopy confirmed good concordance for PLT and reticulocytes; however, lymphocytes and monocytes had proportional and systematic biases.</p><p><strong>Conclusion: </strong>The Atellica HEMA 580 demonstrated reliable analytical performance and strong agreement with the ADVIA 2120i. This supports its suitability as a routine haematology analyser, providing accurate and clinically comparable results.</p>","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":"784-794"},"PeriodicalIF":0.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13357788/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147655134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Immature Platelet Fraction and Absolute Immature Platelet Count as Diagnostic Markers in Pediatric Immune Thrombocytopenia.","authors":"Fernanda Gomes Nascimento, Karla Nunes Pereira, Laura Eduarda de Oliveira, Ighor Seiji Okumura Tioda, Cecília de Farias Dutra, Rafael Noal Moresco, Clóvis Paniz, José Antonio Mainardi de Carvalho","doi":"10.1111/ijlh.70088","DOIUrl":"10.1111/ijlh.70088","url":null,"abstract":"","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":"883-886"},"PeriodicalIF":0.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13357644/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147438724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"N-Acetylornithine Depletion in Bone Marrow Biopsy: A Novel Microenvironment-Specific Hallmark for Multiple Myeloma Diagnosis.","authors":"Bingjie Wang, Shuanglian Xie, Weiwei Xie, Jialin Zhu, Bo Tang, Ye Shen, Zeyin Liang, Wei Liu, Zhizhen Lai, Yujun Dong","doi":"10.1111/ijlh.70116","DOIUrl":"10.1111/ijlh.70116","url":null,"abstract":"<p><strong>Introduction: </strong>The bone marrow microenvironment plays crucial roles in the pathogenesis of multiple myeloma. Previous studies have shown that there are differences in the metabolomics of bone marrow suspension and plasma, but there is rare research on bone marrow biopsy tissue. This study aims to establish a new metabolomics approach to analyze bone marrow biopsy tissues and explore its diagnostic value.</p><p><strong>Methods: </strong>We collected bone marrow biopsy tissues from 19 newly-diagnosed multiple myeloma(MM), 29 monoclonal gammaglobulinemia of undetermined significance(MGUS) and 30 lymphoma without bone marrow invasion as the controls. Metabolomics analysis was conducted using high-performance liquid chromatography-mass spectrometry. Diagnostic Biomarkers and associated pathway were analyzed.</p><p><strong>Results: </strong>The metabolic profiles differed between the controls and MGUS or MM. For MGUS versus MM comparison, Phenylalanyl-Valine and N-Acetylornithine were significantly down-regulated in the MM while N-Acetylornithine has the best diagnostic value with the sensitivity and specificity of 87.5% and 71.4%. For the controls vs. MM comparison, N-Acetylornithine and Aspartyl-Arginine differed markedly. Compared with the controls group, N-Acetylornithine was significantly down-regulated in the MM group, and the AUC of N-Acetylornithine for MM was 0.933, with sensitivity and specificity of (90.0% and 93.3%). N-Acetylornithine displayed the same trends as the comparison between MGUS and MM. Furthermore, when comparing MGUS and MM, Arginine biosynthesis was identified as significantly disrupted in which N-Acetylornithine was involved.</p><p><strong>Conclusions: </strong>We establish a novel method for metabolomic profiling of bone marrow biopsy tissue and provide evidence of metabolic alterations, particularly reduced N-acetylornithine levels, in MGUS and MM patients.</p>","PeriodicalId":94050,"journal":{"name":"International journal of laboratory hematology","volume":" ","pages":"839-847"},"PeriodicalIF":0.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13357967/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147719278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}