ArticleThe Korean journal of internal medicine2020
Immature platelet fraction based diagnostic predictive scoring model for immune thrombocytopenia.
Article in The Korean journal of internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Applications of Extended Platelet Profiles in Clinical Practice.Diseases (Basel, Switzerland) · 2026Review
- Immature platelet fraction and bone marrow findings in hematology.Scientific reports · 2025Article
- Cytopenias in Autoimmune Liver Diseases-A Review.Journal of clinical medicine · 2025Review
- Early prediction of platelet recovery with immature platelet fraction in patients receiving hematopoietic stem cell transplantation.Annals of hematology · 2024Article
- Construction of a clinical prediction model for the diagnosis of immune thrombocytopenia based on clinical laboratory parameters.Journal of cancer research and clinical oncology · 2024Article
- Reference guide for the diagnosis of adult primary immune thrombocytopenia, 2023 edition.International journal of hematology · 2024Article
- Article
- Role of Long non Coding RNAs, NEAT1 and Lnc-DC Expression in Pediatric Immune Thrombocytopenic Purpura.Reports of biochemistry & molecular biology · 2023Article
- Reticulated Platelets in Medicine: Current Evidence and Further Perspectives.Journal of clinical medicine · 2020Review
- Immature Platelet Dynamics in Immune-Mediated Thrombocytopenic States.Frontiers in medicine · 2020Review
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Authors and funding
11 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimsThe diagnosis of immune thrombocytopenia (ITP) is based on clinical manifestations and there is no gold standard. Thus, even hematologic malignancy is sometimes misdiagnosed as ITP and adequate treatment is delayed. Therefore, novel diagnostic parameters are needed to distinguish ITP from other causes of thrombocytopenia. Immature platelet fraction (IPF) has been proposed as one of new parameters. In this study, we assessed the usefulness of IPF and developed a diagnostic predictive scoring model for ITP.
methodsWe retrospectively studied 568 patients with thrombocytopenia. Blood samples were collected and IPF quantified using a fully-automated hematology analyzer. We also estimated other variables that could affect thrombocytopenia by logistic regression analysis.
resultsThe median IPF was significantly higher in the ITP group than in the non-ITP group (8.7% vs. 5.1%). The optimal cut-off value of IPF for differentiating ITP was 7.0%. We evaluated other laboratory variables via logistic regression analysis. IPF, hemoglobin, lactate dehydrogenase (LDH), and ferritin were statistically significant and comprised a diagnostic predictive scoring model. Our model gave points to each of variables: 1 to high hemoglobin (> 12 g/dL), low ferritin (≤ 177 ng/ mL), normal LDH (≤ upper limit of normal) and IPF ≥ 7 and < 10, 2 to IPF ≥ 10. The final score was obtained by summing the points. We defined that ITP could be predicted in patients with more than 3 points.
conclusionIPF could be a useful parameter to distinguish ITP from other causes of thrombocytopenia. We developed the predictive scoring model. This model could predict ITP with high probability.
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