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Disease Risk Comorbidity Index for Patients Receiving Haploidentical Allogeneic Hematopoietic Transplantation

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摘要 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).We identified the prognostic factors of disease-free survival(DFS)in a training subset(n=593),then assigned a weighted score using these factors to the remaining patients(validation subset;n=296).The multivariable model identified two independent predictors of DFS:DRI and HCT-CI before transplantation.In this scoring system,we assigned a weighted score of 2 to very high-risk DRI,and assigned a weighted score of 1 to high-risk DRI and intermediate-and high-risk HCT-CI(i.e.,haplo-DRCI).In the validation cohort,the three-year DFS rate was 65.2%(95%confidence interval(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 also predict DFS in disease-specific subgroups,particularly in acute leukemia patients.Increasing score was also significantly predictive of increased relapse,increased non-relapse mortality(NRM),decreased DFS,and decreased overall survival(OS)in an independent historical cohort(n=526).These data confirmed that haplo-DRCI could effectively risk stratify haplo-HSCT recipients and provide a tool to better predict who will best benefit from haplo-HSCT.
出处 《Engineering》 SCIE EI 2021年第2期162-169,共8页 工程(英文)
基金 This work was supported by the National Key Research and Development Program of China(2017YFA0104500) the Foundation for Innovative Research Groups of the National Natural Science Foundation of China(81621001) the Key Program of the National Natural Science Foundation of China(81930004) Capital’s Funds for Health Improvement and Research(2018-4-4089) CAMS Innovation Fund for Medical Sciences(CIFMS)(2019-I2M-5-034) the Science and Technology Project of Guangdong Province of China(2016B030230003) the Project of Health Collaborative Innovation of Guangzhou City(201704020214) Peking University Clinical Scientist Program(BMU2019LCKXJ003) supported by the Fundamental Research Funds for the Central Universities.
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