Objectives: To explore MICM classification and adverse prognostic factors in adolescents with acute lymphoblastic leukemia (ALL).
Methods: The MICM classification, clinical characteristics of 80 adolescents with ALL admitted to our hospital from January 1998 to December 2002 were retrospectively analyzed. Survival data were estimated by the Kaplan-Meier method and the prognostic factors were analyzed with the COX regression model.
Results: In the 80 patients, B-ALL and T-ALL accounted for 69.12% and 26.47%, respectively. The percentage of Ph(+)ALL was 18.37% (9/49), and that of hyperdiploidy was 4.08%. Patients at diagnosis with high leukocyte counts (> 50 x 10(9)/L) accounted for 27.94%. Among the 78 cases treated with VDP(L) or CODP(L) regimens, 73 (91.03%) obtained CR in 4 weeks. After a median follow-up of 24 months, the estimated 3-year disease-free survival (DFS) rates of patients receiving chemotherapy or allo-HSCT were (32.55 +/- 16.50)% and (69.58 +/- 8.72)%, respectively (P < 0.05). In COX analysis, high initial leukocyte counts (> 50 x 10(9)/L) and Philadelphia chromosome positivity were adverse prognostic factors for long-term survival.
Conclusions: MICM classification has important clinical and prognostic significance in the risk-directed therapy of adolescents with ALL. The adverse prognostic features for these patients were high leukocyte counts, less incidence of chromosome hyperdiploidy and Ph chromosome positivity.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Background: AML-M4Eo is a type of AML characterized by malignant proliferation of granulocyte and monocyte precursor cells accompanied by eosinophilia. Patients present as anemia, infection, bleeding, and tissue and organ infiltration. MICM classification makes the classification of AML more accurate and lays a foundation for the correct treatment and prognosis of AML.
View Article and Find Full Text PDFAltered Gut Microbiota Patterns in Young Children with Recent Maltreatment Exposure.
Biomolecules
October 2024
Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Background: The brain and the intestinal microbiota are highly interconnected and especially vulnerable to disruptions in early life. Emerging evidence indicates that psychosocial adversity detrimentally impacts the intestinal microbiota, affecting both physical and mental health. This study aims to investigate the gut microbiome in young children in the immediate aftermath of maltreatment exposure.
View Article and Find Full Text PDFDeep Learning-Based Automated Imaging Classification of ADPKD.
Kidney Int Rep
June 2024
Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong.
Introduction: The Mayo imaging classification model (MICM) requires a prestep qualitative assessment to determine whether a patient is in class 1 (typical) or class 2 (atypical), where patients assigned to class 2 are excluded from the MICM application.
Methods: We developed a deep learning-based method to automatically classify class 1 and 2 from magnetic resonance (MR) images and provide classification confidence utilizing abdominal -weighted MR images from 486 subjects, where transfer learning was applied. In addition, the explainable artificial intelligence (XAI) method was illustrated to enhance the explainability of the automated classification results.
[The Relationship between Speed of Platelet Recovery and Its R-squared and Efficacy after First Induction Chemotherapy in Acute Myeloid Leukemia].
Zhongguo Shi Yan Xue Ye Xue Za Zhi
December 2022
Department of Hematology, The Second Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi Province, China.E-mail:
Article Synopsis
- - The study aimed to determine the cut-off values for platelet recovery speed and R-squared in patients with acute myeloid leukemia (AML) after initial chemotherapy to predict complete remission and help in selecting further treatment options.
- - A total of 117 newly diagnosed AML patients underwent platelet count analysis following chemotherapy, using linear regression and ROC curve methods to establish critical cut-off values for recovery speed and related metrics.
- - Results indicated specific cut-off values for predicting successful remission based on platelet recovery speed, with significant statistical differences observed between patient groups, highlighting the potential for these metrics to guide clinical decision-making.
[Analysis of Clinical Characteristics and Prognosis in Children with Acute Megakaryoblastic Leukemia without Down Syndrome].
Zhongguo Shi Yan Xue Ye Xue Za Zhi
April 2021
Department of Pediatrics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, Guangdong Province,
Objective: To analyze the clinical characteristics and treatment effects of children with acute megakaryoblastic leukemia without down syndrome (non-DS-AMKL).
Methods: The clinical data of 19 children with non-DS-AMKL treated in the Pediatric Hematology Ward in Sun Yat-sen Memorial Hospital of Sun Yat-sen University from May 2008 to April 2018 were analyzed retrospectively. The clinical characteristics, laboratory test and treatment methods of the children were concluded.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!