Construction of a clinical prediction model for the diagnosis of immune thrombocytopenia based on clinical laboratory parameters

• Published in: Journal of cancer research and clinical oncology Vol. 150; no. 9; p. 412
• Main Authors: Zhong, Kangying, Pei, Yuqing, Yang, Ziyan, Zheng, Qin
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 06.09.2024; Springer Nature B.V
• Subjects: Adult; adults; Aged; Blood levels; Cancer Research; China; China - epidemiology; Correlation analysis; Diagnosis; Erythrocytes; Female; Hematology; Hemoglobin; hospitals; Humans; Idiopathic thrombocytopenic purpura; Internal Medicine; Lymphocytes; Male; Medicine; Medicine & Public Health; Middle Aged; Oncology; Patients; Platelet Count; Platelets; Prediction models; probability; Purpura, Thrombocytopenic, Idiopathic - blood; Purpura, Thrombocytopenic, Idiopathic - diagnosis; regression analysis; Retrospective Studies; Thrombocytopenia; Young Adult; China; Platelet count variability; Primary immune thrombocytopenia; Immature platelet fraction; Clinical prediction model

Purpose Primary immune thrombocytopenia (ITP) is an autoimmune bleeding disorder characterized by isolated thrombocytopenia that is often misdiagnosed due to the lack of a gold standard for diagnosis and currently relies on exclusionary approaches. This project combines several laboratory parameters...