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We conducted a prospective analysis to identify potential chemokines that could enhance the diagnostic accuracy and bleeding evaluation in ITP patients. In the discovery cohort, a Luminex\u2010based assay was employed to quantify concentrations of plasma multiple chemokines. These levels were subjected to comparative analysis using a cohort of 60 ITP patients and 17 patients with thrombocytopenia other than ITP (non\u2010ITP). Additionally, comparative evaluation was conducted between a subgroup of 12 ITP patients characterised by bleeding episodes (ITP\u2010B, as defined by an ITP\u20102016 bleeding grade \u22652) and 33 ITP patients without bleeding episodes (ITP\u2010NB, as defined by an ITP\u20102016 bleeding grade \u22641). Machine learning algorithms further identified CCL20, interleukin\u20102, CCL26, CCL25, and CXCL1 as promising indicators for accurate diagnosis of ITP and CCL21, CXCL8, CXCL10, CCL8, CCL3, and CCL15 as biomarkers for assessing bleeding risk in ITP patients. The results were confirmed using enzyme\u2010linked immunosorbent assays in a validation cohort (43 ITP patients and 19 non\u2010ITP patients). Overall, the findings suggest that specific chemokines show promise as potential biomarkers for diagnosis and bleeding evaluation in ITP patients.<\/jats:p>","DOI":"10.1111\/bjh.19745","type":"journal-article","created":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T05:23:57Z","timestamp":1725945837000},"page":"1938-1950","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Integrating chemokines and machine learning algorithms for diagnosis and bleeding assessment in primary immune thrombocytopenia: A prospective cohort study"],"prefix":"10.1111","volume":"205","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9686-5364","authenticated-orcid":false,"given":"Qing","family":"Wen","sequence":"first","affiliation":[{"name":"State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin Key Laboratory of Gene Therapy for Blood 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