Literature DB >> 25034961

Does the hematopoietic cell transplantation specific comorbidity index (HCT-CI) predict transplantation outcomes? A prospective multicenter validation study of the Kanto Study Group for Cell Therapy.

Aya Nakaya1, Takehiko Mori2, Masatsugu Tanaka3, Naoto Tomita4, Chiaki Nakaseko5, Shingo Yano6, Shin Fujisawa7, Hisashi Sakamaki8, Nobuyuki Aotsuka9, Akira Yokota10, Yoshinobu Kanda11, Toru Sakura12, Yasuhito Nanya13, Takayuki Saitoh14, Heiwa Kanamori3, Satoshi Takahashi15, Shinichiro Okamoto2.   

Abstract

Recent advances in allogeneic hematopoietic stem cell transplantation have led to increasing use of this modality in older patients who tend to have been more heavily pretreated and have more comorbidities. Thus, the evaluation of comorbidity is of increasing importance to more precisely assess the benefits and risks of the transplantation procedure. Researchers from Seattle developed the hematopoietic cell transplantation-specific comorbidity index (HCT-CI), which was associated with the risk of mortality in several retrospective studies. However, its clinical utility has not been extensively documented in prospective studies. The aim of the present study was to evaluate the utility of the HCT-CI prospectively in a multicenter setting. Overall survival (OS) and nonrelapse mortality (NRM) at 2 years were 59% and 20%, respectively (n = 243). We found that the HCT-CI in its original scale failed to predict OS and NRM in this set of patients. Thus, we applied a flexible HCT-CI risk scoring system (restratifying scores from 0 to 3 to indicate low risk, and scores of 4 or higher as high-risk). The flexible HCT-CI was found to predict 2-year NRM and OS better than the original HCT-CI (NRM: P = .01, OS: P = .003). In subgroup analysis, we evaluated the usefulness of the original HCT-CI for patients excluding those who received cord blood transplantation (n = 186). Both 2-year OS and 2-year NRM were not significantly different according to the original HCT-CI (P = .304, P = .996), but with the flexible HCT-CI, there were significant differences in 2-year OS and 2-year NRM (P = .005 and P = .005, respectively). Multivariate analysis identified age >50, performance status (PS) <90, donor type (HLA-mismatched/unrelated donor), and the flexible HCT-CI ≥4 as significant predictors for worse OS at 2 years. However, the flexible HCT-CI did not remain a significant predictor for NRM at 2 years in multivariate analysis, whereas age, PS, and donor type did. The HCT-CI did not consistently predict both NRM and OS, but it still can be a useful tool in combination with other factors, such as PS and age. Furthermore, the HCT-CI, although potentially useful for capturing pretransplantation comorbidity and risk assessment, may need further validation before its adoption for routine clinical use.
Copyright © 2014 American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Allogeneic hematopoietic stem cell transplantation; Flexible hematopoietic cell transplantation–specific comorbidity index; Prospective study

Mesh:

Substances:

Year:  2014        PMID: 25034961     DOI: 10.1016/j.bbmt.2014.06.005

Source DB:  PubMed          Journal:  Biol Blood Marrow Transplant        ISSN: 1083-8791            Impact factor:   5.742


  8 in total

Review 1.  Up-to-date tools for risk assessment before allogeneic hematopoietic cell transplantation.

Authors:  M Elsawy; M L Sorror
Journal:  Bone Marrow Transplant       Date:  2016-06-06       Impact factor: 5.483

2.  Prognostic significance of pre-transplant quality of life in allogeneic hematopoietic cell transplantation recipients.

Authors:  B K Hamilton; A D Law; L Rybicki; D Abounader; J Dabney; R Dean; H K Duong; A T Gerds; R Hanna; B T Hill; D Jagadeesh; M E Kalaycio; C Lawrence; L McLellan; B Pohlman; R M Sobecks; B J Bolwell; N S Majhail
Journal:  Bone Marrow Transplant       Date:  2015-06-01       Impact factor: 5.483

3.  Multidimensional geriatric assessment for elderly hematological patients (≥60 years) submitted to allogeneic stem cell transplantation. A French-Italian 10-year experience on 228 patients.

Authors:  Mohamad Mohty; Domenico Russo; Nicola Polverelli; Paolo Tura; Giorgia Battipaglia; Michele Malagola; Simona Bernardi; Lisa Gandolfi; Tatiana Zollner; Camilla Zanaglio; Mirko Farina; Enrico Morello; Alessandro Turra
Journal:  Bone Marrow Transplant       Date:  2020-05-12       Impact factor: 5.483

Review 4.  From patient centered risk factors to comprehensive prognostic models: a suggested framework for outcome prediction in umbilical cord blood transplantation.

Authors:  Roni Shouval; Arnon Nagler
Journal:  Stem Cell Investig       Date:  2017-05-24

5.  Impact of a novel prognostic model, hematopoietic cell transplant-composite risk (HCT-CR), on allogeneic transplant outcomes in patients with acute myeloid leukemia and myelodysplastic syndrome.

Authors:  Piyanuch Kongtim; Simrit Parmar; Denái R Milton; Jorge Miguel Ramos Perez; Gabriela Rondon; Julianne Chen; Abhishek R Chilkulwar; Gheath Al-Atrash; Amin Alousi; Borje S Andersson; Jin S Im; Chitra M Hosing; Qaiser Bashir; Issa Khouri; Partow Kebriaei; Betul Oran; Uday Popat; Richard Champlin; Stefan O Ciurea
Journal:  Bone Marrow Transplant       Date:  2018-09-26       Impact factor: 5.483

6.  Development and validation of a comorbidity index for predicting survival outcomes after allogeneic stem cell transplantation in adult patients with acute leukemia: a Korean nationwide cohort study.

Authors:  Sung-Soo Park; Hee-Je Kim; Tong Yoon Kim; Joon Yeop Lee; Jong Hyuk Lee; Gi June Min; Silvia Park; Jae-Ho Yoon; Sung-Eun Lee; Byung-Sik Cho; Ki-Seong Eom; Yoo-Jin Kim; Seok Lee; Dong-Wook Kim
Journal:  Blood Res       Date:  2021-09-30

7.  The Simplified Comorbidity Index: a new tool for prediction of nonrelapse mortality in allo-HCT.

Authors:  Roni Shouval; Joshua A Fein; Christina Cho; Scott T Avecilla; Josel Ruiz; Ana Alarcon Tomas; Miriam Sanchez-Escamilla; Nerea Castillo Flores; Lucrecia Yáñez; Juliet N Barker; Parastoo Dahi; Sergio A Giralt; Alexander I Geyer; Boglarka Gyurkocza; Ann A Jakubowski; Richard J Lin; Richard J O'Reilly; Esperanza B Papadopoulos; Ioannis Politikos; Doris M Ponce; Craig S Sauter; Michael Scordo; Brian Shaffer; Gunjan L Shah; James P Sullivan; Roni Tamari; Marcel R M van den Brink; James W Young; Arnon Nagler; Sean Devlin; Avichai Shimoni; Miguel-Angel Perales
Journal:  Blood Adv       Date:  2022-03-08

8.  Prediction of Hematopoietic Stem Cell Transplantation Related Mortality- Lessons Learned from the In-Silico Approach: A European Society for Blood and Marrow Transplantation Acute Leukemia Working Party Data Mining Study.

Authors:  Roni Shouval; Myriam Labopin; Ron Unger; Sebastian Giebel; Fabio Ciceri; Christoph Schmid; Jordi Esteve; Frederic Baron; Norbert Claude Gorin; Bipin Savani; Avichai Shimoni; Mohamad Mohty; Arnon Nagler
Journal:  PLoS One       Date:  2016-03-04       Impact factor: 3.240

  8 in total

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