Russo G, Parodi E, Farruggia P et al (2024) Recommendations for the management of acute immune thrombocytopenia in children. A Consensus Conference from the Italian Association of Pediatric Hematology and Oncology. Blood Transfus. 22(3):253–265. https://doi.org/10.2450/BloodTransfus.501
Article PubMed PubMed Central Google Scholar
Kühne T, Berchtold W, Michaels LA et al (2011) Newly diagnosed immune thrombocytopenia in children and adults: a comparative prospective observational registry of the Intercontinental Cooperative Immune Thrombocytopenia Study Group. Haematologica 96(12):1831–1837. https://doi.org/10.3324/haematol.2011.050799
Article PubMed PubMed Central Google Scholar
Singh A, Uzun G, Bakchoul T (2021) Primary immune thrombocytopenia: Novel insights into pathophysiology and disease management. J Clin Med 10(4):789. https://doi.org/10.3390/jcm10040789
Article CAS PubMed PubMed Central Google Scholar
Neunert C, Terrell DR, Arnold DM et al (2019) American society of hematology 2019 guidelines for immune thrombocytopenia. Blood Adv 3(23):3829–3866. https://doi.org/10.1182/bloodadvances.2019000966
Article CAS PubMed PubMed Central Google Scholar
Zhou F, Xu Y, Zhang Z et al (2015) Severe hemorrhage in Chinese children with immune thrombocytopenia. J Pediatr Hematol Oncol 37(3):e158–e161. https://doi.org/10.1097/MPH.0000000000000292
Article CAS PubMed Google Scholar
Singaravadivelu P, Ramamoorthy JG, Delhi Kumar CG (2024) Clinical outcome and its predictors in children with newly diagnosed immune thrombocytopenia. Indian Pediatr 61(6):527–532
Neunert C, Noroozi N, Norman G et al (2015) Severe bleeding events in adults and children with primary immune thrombocytopenia: a systematic review. J Thromb Haemost 13(3):457–464. https://doi.org/10.1111/jth.12813
Article CAS PubMed PubMed Central Google Scholar
Neunert CE, Buchanan GR, Imbach P et al (2008) Severe hemorrhage in children with newly diagnosed immune thrombocytopenic purpura. Blood 112(10):4003–4008. https://doi.org/10.1182/blood-2008-03-138487
Article CAS PubMed PubMed Central Google Scholar
González-López TJ, Alperovich G, Burillo E et al (2024) Epidemiology, treatment patterns, and cost analysis of immune thrombocytopenia in Spain between 2014 and 2020: A population-based study. TH Open 8(3):e252–e265. https://doi.org/10.1055/a-2336-1062
Article PubMed PubMed Central Google Scholar
Wen Q, Sun T, Chen J et al (2024) Integrating chemokines and machine learning algorithms for diagnosis and bleeding assessment in primary immune thrombocytopenia: A prospective cohort study. Br J Haematol 205(5):1938–1950. https://doi.org/10.1111/bjh.19745
Article CAS PubMed Google Scholar
An ZY, Wu YJ, Hou Y et al (2023) A life-threatening bleeding prediction model for immune thrombocytopenia based on personalized machine learning: a nationwide prospective cohort study. Sci Bull (Beijing) 68(18):2106–2114. https://doi.org/10.1016/j.scib.2023.08.001
Article CAS PubMed Google Scholar
Wang C, He Z, Lio KU et al (2024) A predictive model for treatment effectiveness in severe primary immune thrombocytopenia during pregnancy: A retrospective study in a tertiary critical maternity referral center. Gynecol Obstet Invest 5:1–12. https://doi.org/10.1159/000541721
Cheng B, Zhou P, Chen Y (2022) Machine-learning algorithms based on personalized pathways for a novel predictive model for the diagnosis of hepatocellular carcinoma. BMC Bioinformatics 23(1):248. https://doi.org/10.1186/s12859-022-04805-9
Article CAS PubMed PubMed Central Google Scholar
Liu X, Xie Z, Zhang Y et al (2024) Machine learning for predicting in-hospital mortality in elderly patients with heart failure combined with hypertension: a multicenter retrospective study. Cardiovasc Diabetol 23(1):407. https://doi.org/10.1186/s12933-024-02503-9
Article PubMed PubMed Central Google Scholar
Petch J, Di S, Nelson W (2022) Opening the black box: The promise and limitations of explainable machine learning in cardiology. Can J Cardiol 38(2):204–213. https://doi.org/10.1016/j.cjca.2021.09.004
Hagiwara Y (2023) Using a sample size calculation framework for clinical prediction models when developing and selecting mapping algorithms based on linear regression. Med Decis Making 43(7–8):992–996. https://doi.org/10.1177/0272989X231188134
Wang YZ, Liu ZR (2024) Relationship between the age of diagnosis and clinical outcomes in children with chronic immune thrombocytopenia. Zhongguo Shi Yan Xue Ye Xue Za Zhi 32(4):1201–1206. https://doi.org/10.19746/j.cnki.issn.1009-2137.2024.04.035
Working Group of Chinese Guideline for the Diagnosis and Treatment of Childhood Primary Immune Thrombocytopenia; Subspecialty Group of Hematologic Diseases, Society of Pediatrics, et al (2022) Adapted guideline for the diagnosis and treatment of primary immune thrombocytopenia for Chinese children (2021). Pediatr Investig 6(2):63–74. https://doi.org/10.1002/ped4.12305.
Angraal S, Mortazavi BJ, Gupta A et al (2020) Machine learning prediction of mortality and hospitalization in heart failure with preserved ejection fraction. JACC Heart Fail 8(1):12–21. https://doi.org/10.1016/j.jchf.2019.06.013
Hou N, Li M, He L et al (2020) Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost. J Transl Med 18(1):462. https://doi.org/10.1186/s12967-020-02620-5
Article CAS PubMed PubMed Central Google Scholar
Xu J, Chen T, Fang X et al (2024) Prediction model of pressure injury occurrence in diabetic patients during ICU hospitalization–XGBoost machine learning model can be interpreted based on SHAP. Intensive Crit Care Nurs 83:103715. https://doi.org/10.1016/j.iccn.2024.103715
Lim J, Jeon HG, Seo Y et al (2023) Survival prediction model for patients with hepatocellular carcinoma and extrahepatic metastasis based on XGBoost algorithm. J Hepatocell Carcinoma 13(10):2251–2263. https://doi.org/10.2147/JHC.S429903
Lee AC (2025) Immune thrombocytopenia in infants: a retrospective study with comparison to toddlers. Singapore Med J 66(1):20–23. https://doi.org/10.4103/singaporemedj.SMJ-2021-184
Zafar H, Anwar S, Faizan M, et al (2018) Clinical features and outcome in paediatric newly diagnosed immune thrombocytopenic purpura in a tertiary care centre. Pak J Med Sci 34(5):1195–1199. https://doi.org/10.12669/pjms.345.15687.
Arnold DM (2015) Bleeding complications in immune thrombocytopenia. Hematol Am Soc Hematol Educ Program 2015:237–242. https://doi.org/10.1182/asheducation-2015.1.237
Bu S, Liu M, Yang L et al (2025) The function of T cells in immune thrombocytopenia. Front Immunol 21(16):1499014. https://doi.org/10.3389/fimmu.2025.1499014
Mahmood I, Tegenge MA, Golding B (2020) Considerations for optimizing dosing of immunoglobulins based on pharmacokinetic evidence. Antibodies (Basel) 9(2):24. https://doi.org/10.3390/antib9020024
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