GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • American Society of Hematology  (2)
  • Yan, Chenhua  (2)
Material
Publisher
  • American Society of Hematology  (2)
Language
Years
Subjects(RVK)
  • 1
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 5716-5716
    Abstract: Purpose or Background: We aimed to develop a disease risk comorbidity index (DRCI) based on Disease Risk Index (DRI) and Hematopoietic Cell Transplantation-Specific Comorbidity Index (HCT-CI) in patients receiving haploidentical hematopoietic stem cell transplantation (haplo-HSCT). Method or Case: We examined 889 patients undergoing haplo-HSCT from 2015 to 2016. We used a Cox multivariable model to identify factors prognostic of disease-free survival (DFS) in a training subset (n = 593). A weighted score using these factors was assigned to the remaining patients (validation cohort; n = 296). This work was supported by the Capital's Funds for Health Improvement and Research (grant number 2018-4-4089). Results or Progress: The multivariable model identified two independent predictors of DFS: DRI and HCT-CI before HSCT. A weighted score of 2 was assigned to very high risk DRI, and a weighted score of 1 was assigned to high-risk DRI and intermediate- and high-risk HCT-CI in the scoring system (i.e., haplo-HSCT). In the validation cohort, the 3-year DFS was 65.2% (95% CI, 58.2-72.2%), 55.8% (95% CI, 44.9-66.7%), and 32.0% (95% CI, 5.8-58.2%) for the low-, intermediate- and high-risk group, respectively (P=0.005). Haplo-DRCI can predict relapse (P 〈 0.001), non-relapse mortality (NRM, P 〈 0.001), DFS (P 〈 0.001), and overall survival (OS, P 〈 0.001) in total population and in disease-specific subgroups, particularly in acute leukemia patients. Increasing score was also significantly predictive of increased relapse (P 〈 0.001), increased NRM (P=0.001), decreased DFS (P 〈 0.001), and decreased OS (P 〈 0.001) in an independent historical cohort (n=526). Conclusion or Discussion: These data confirmed that haplo-DRCI can effectively risk stratifies haplo-HSCT recipients and provide the tool to better predict who will best benefit from haplo-HSCT. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 2880-2880
    Abstract: The aim of this study is to investigate the prevalence and risk factors of anti-human leukocyte antigen (HLA) antibodies in haploidentical candidates. This study was completed at Peking University People's Hospital, Beijing China. We performed a prospective analysis of patients with hematological diseases concerning the prevalence and risk factors of anti-HLA antibodies. Patients were enrolled between July 2015 - December 2019. Serum was collected for PRAs test within 1 month before haploidentical transplantation. The risk factors, such as age, sex, total transfusion, red blood cell (RBC) transfusion, platelet (PLT) transfusion, pregnancy, disease duration and diagnosis were collected. Univariate and multivariate logistic regression analyses were performed to evaluate the risk factors of anti-HLA antibodies. Six hundred and eighty (17.9%) patients were positive for panel reactive antibodies (PRA)-class I, 360 (9.5%) for class II, 768 (20.2%) class I or II, and 272 (7.1%) positive for class I and II both. Multivariate analysis indicated that female was related to higher risk of having PRAs for class I (P = 0.011), class I or II (P = 0.009), anti-HLA-A (P = 0.015), anti-HLA-DP (P = 0.048) and also for having higher mean fluorescence intensity (MFI) (2000 or more) of PRAs in class I (P = 0.020) and class I or II (P = 0.005). Compared to patients with myelodysplastic syndrome (MDS), patients with acute myeloid leukemia (AML), acute lymphoblastic leukemia (ALL), aplastic anemia (AA) had a lower incidence for PRAs in class I, class II, class I or II, class I and II, anti-HLA-A. anti-HLA-B, anti-HLA-C, anti-HLA-DQ, anti-HLA-DR, anti-HLA-DP (Table 1). Prior pregnancy was a risk factor for PRAs (P & lt; 0.001), and no previous pregnancy group having lower MFI of PRAs in class I (P = 0.001) and class I or II (P = 0.004). PLT transfusion (more than 4 times) rleted with a higher prevalence of PRAs (P & lt; 0.001), and also had a higher MFI of PRAs in class II (P & lt; 0.001), class I and II (P & lt; 0.001). Patients with RBC transfusion (more than 3 times) had a higher prevalence of PRAs in class I (P = 0.001), class II (P = 0.029), class I or II (P & lt; 0.001), anti-HLA-A (P = 0.001), anti-HLA-B (P & lt; 0.001), anti-HLA-C (P = 0.007), anti-HLA-DQ (P & lt; 0.001) and anti-HLA-DR (P = 0.011). In addition, diseases duration (8 months or more) was also associated with higher MFI of PRAs in class I (P = 0.023) and class I or II (P = 0.004). Subgroup analysis showed that 11.7% of pediatric patients were positive for PRAs in class I; 19.2% of adults, 17.9% of elder patients; 12.4% of males; 26.1% of females; 21.0% of patients with AML; 10.5% of patients with acute lymphoblastic leukemia (ALL); 18.9% of patients with AA; 30.3% of patients with MDS; 16.6% of patients with other hematological diseases. The positive rate of class II PRAs in children was 4.3%; 11.1% for adults; 9.5% for elder patients; 5.5% for males; 15.4% for females; 11.4% for patients with AML; 5.2% for patients with ALL; 10.3% for patients with AA; 17.2% for patients with MDS; 6.6% of patients with other hematological diseases. Multivariate analysis showed that, in children, PLT transfusion and diagnosis were the two main risk factors of PRAs in class I and class II (P & lt; 0.001, P = 0.017). In adults, diagnosis (P = 0.003), transfusion (P & lt; 0.001) and pregnancy (P & lt; 0.001) were the three main factors associated with PRAs in class I and transfusion (P & lt; 0.001) and pregnancy (P & lt; 0.001) were the two main factors associated with PRAs in class II. In males, PLT transfusion (P & lt; 0.001) and diagnosis (P & lt; 0.001) were the two main factors associated with PRAs in class I and class II. In ALL subgroup, gender (P = 0.026, P = 0.048), pregnancy (P & lt; 0.001) and transfusion (P & lt; 0.001) were the three main factors associated with PRAs in class I and II. In AA subgroup, gender (P = 0.004) and PLT transfusion (P & lt; 0.001) were risk factors for class I PRAs, pregnancy (P = 0.008) and PLT transfusion (P = 0.003) were risk factors for class II PRAs. In elder patients, females, AML, MDS and other diseases subgroup, transfusion and pregnancy were the two main factors associated with PRAs in class I and class II. Our results indicated that female sex, diagnosis, pregnancy, transfusion, disease duration were independent risk factors of anti-HLA antibodies in haploidentical allograft candidates, which provided evidence for best haploidentical donor selection. The risk factors of anti-HLA antibodies were different among total patients and those of cases in different subgroups. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2021
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...