2018
DOI: 10.1007/s12185-018-2437-z
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Early lymphocyte recovery predicts clinical outcome after HSCT with mycophenolate mofetil prophylaxis in the Japanese population

Abstract: Immune reconstitution affects clinical outcomes after allogeneic hematopoietic stem cell transplantation (HSCT), and it has been suggested that lymphocyte recovery affects survival after HSCT. However, few studies have examined lymphocyte recovery in Asian patients who received mycophenolate mofetil (MMF) prophylaxis for graft-versus-host disease. We retrospectively evaluated early lymphocyte recovery after HSCT among Japanese adults who received MMF prophylaxis. Patients were divided into two groups according… Show more

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Cited by 6 publications
(8 citation statements)
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“…Delayed or inadequate immune recovery profoundly impacts the incidence of infection, 33 recurrence of haematological disease 34 and OS 35,36 . We found that the patterns of immune reconstitution in the 1‐year post‐transplant period were broadly consistent between HAAA and AA patients.…”
Section: Discussionmentioning
confidence: 66%
“…Delayed or inadequate immune recovery profoundly impacts the incidence of infection, 33 recurrence of haematological disease 34 and OS 35,36 . We found that the patterns of immune reconstitution in the 1‐year post‐transplant period were broadly consistent between HAAA and AA patients.…”
Section: Discussionmentioning
confidence: 66%
“…To our knowledge, the present research is the largest cohort study of post-HSCT immune reconstitution to date. Similar to the intent of numerous studies in the past, [1][2][3][4][5][6][7][8][9][10]19,21,23,26 we aimed to delineate the relationship between immune reconstitution and clinical outcome.…”
Section: Discussionmentioning
confidence: 99%
“…To our knowledge, the present research is the largest cohort study of post‐HSCT immune reconstitution to date. Similar to the intent of numerous studies in the past, 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 19 , 21 , 23 , 26 we aimed to delineate the relationship between immune reconstitution and clinical outcome. Our study utilized unsupervised machine learning to identify the temporal patterns of multivariate immune variables after transplantation, which were then combined with survival modeling using grid‐search optimization to result in a Composite Immune Risk Score for predicting early mortality.…”
Section: Discussionmentioning
confidence: 99%
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