Cargando…
Bone Marrow Pathology Predicts Mortality in Chronic Hemodialysis Patients
Introduction. A bone marrow biopsy is a useful procedure for the diagnosis and staging of various hematologic and systemic diseases. The objective of this study was to investigate whether the findings of bone marrow studies can predict mortality in chronic hemodialysis patients. Methods. Seventy-eig...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354719/ https://www.ncbi.nlm.nih.gov/pubmed/25802835 http://dx.doi.org/10.1155/2015/160382 |
_version_ | 1782360785424482304 |
---|---|
author | Weng, Cheng-Hao Lu, Kuan-Ying Hu, Ching-Chih Huang, Wen-Hung Wang, I-Kwan Yen, Tzung-Hai |
author_facet | Weng, Cheng-Hao Lu, Kuan-Ying Hu, Ching-Chih Huang, Wen-Hung Wang, I-Kwan Yen, Tzung-Hai |
author_sort | Weng, Cheng-Hao |
collection | PubMed |
description | Introduction. A bone marrow biopsy is a useful procedure for the diagnosis and staging of various hematologic and systemic diseases. The objective of this study was to investigate whether the findings of bone marrow studies can predict mortality in chronic hemodialysis patients. Methods. Seventy-eight end-stage renal disease patients on maintenance hemodialysis underwent bone marrow biopsies between 2000 and 2011, with the most common indication being unexplained anemia followed by unexplained leukocytosis and leukopenia. Results. The survivors had a higher incidence of abnormal megakaryocyte distribution (P = 0.001), band and segmented cells (P = 0.021), and lymphoid cells (P = 0.029) than the nonsurvivors. The overall mortality rate was 38.5% (30/78), and the most common cause of mortality was sepsis (83.3%) followed by respiratory failure (10%). In multivariate Cox regression analysis, both decreased (OR 3.714, 95% CI 1.671–8.253, P = 0.001) and absent (OR 9.751, 95% CI 2.030–45.115, P = 0.004) megakaryocyte distribution (normal megakaryocyte distribution as the reference group), as well as myeloid/erythroid ratio (OR 1.054, CI 1.012–1.098, P = 0.011), were predictive of mortality. Conclusion. The results of a bone marrow biopsy can be used to assess the pathology, and, in addition, myeloid/erythroid ratio and abnormal megakaryocyte distribution can predict mortality in chronic hemodialysis patients. |
format | Online Article Text |
id | pubmed-4354719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-43547192015-03-23 Bone Marrow Pathology Predicts Mortality in Chronic Hemodialysis Patients Weng, Cheng-Hao Lu, Kuan-Ying Hu, Ching-Chih Huang, Wen-Hung Wang, I-Kwan Yen, Tzung-Hai Biomed Res Int Research Article Introduction. A bone marrow biopsy is a useful procedure for the diagnosis and staging of various hematologic and systemic diseases. The objective of this study was to investigate whether the findings of bone marrow studies can predict mortality in chronic hemodialysis patients. Methods. Seventy-eight end-stage renal disease patients on maintenance hemodialysis underwent bone marrow biopsies between 2000 and 2011, with the most common indication being unexplained anemia followed by unexplained leukocytosis and leukopenia. Results. The survivors had a higher incidence of abnormal megakaryocyte distribution (P = 0.001), band and segmented cells (P = 0.021), and lymphoid cells (P = 0.029) than the nonsurvivors. The overall mortality rate was 38.5% (30/78), and the most common cause of mortality was sepsis (83.3%) followed by respiratory failure (10%). In multivariate Cox regression analysis, both decreased (OR 3.714, 95% CI 1.671–8.253, P = 0.001) and absent (OR 9.751, 95% CI 2.030–45.115, P = 0.004) megakaryocyte distribution (normal megakaryocyte distribution as the reference group), as well as myeloid/erythroid ratio (OR 1.054, CI 1.012–1.098, P = 0.011), were predictive of mortality. Conclusion. The results of a bone marrow biopsy can be used to assess the pathology, and, in addition, myeloid/erythroid ratio and abnormal megakaryocyte distribution can predict mortality in chronic hemodialysis patients. Hindawi Publishing Corporation 2015 2015-02-24 /pmc/articles/PMC4354719/ /pubmed/25802835 http://dx.doi.org/10.1155/2015/160382 Text en Copyright © 2015 Cheng-Hao Weng et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Weng, Cheng-Hao Lu, Kuan-Ying Hu, Ching-Chih Huang, Wen-Hung Wang, I-Kwan Yen, Tzung-Hai Bone Marrow Pathology Predicts Mortality in Chronic Hemodialysis Patients |
title | Bone Marrow Pathology Predicts Mortality in Chronic Hemodialysis Patients |
title_full | Bone Marrow Pathology Predicts Mortality in Chronic Hemodialysis Patients |
title_fullStr | Bone Marrow Pathology Predicts Mortality in Chronic Hemodialysis Patients |
title_full_unstemmed | Bone Marrow Pathology Predicts Mortality in Chronic Hemodialysis Patients |
title_short | Bone Marrow Pathology Predicts Mortality in Chronic Hemodialysis Patients |
title_sort | bone marrow pathology predicts mortality in chronic hemodialysis patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354719/ https://www.ncbi.nlm.nih.gov/pubmed/25802835 http://dx.doi.org/10.1155/2015/160382 |
work_keys_str_mv | AT wengchenghao bonemarrowpathologypredictsmortalityinchronichemodialysispatients AT lukuanying bonemarrowpathologypredictsmortalityinchronichemodialysispatients AT huchingchih bonemarrowpathologypredictsmortalityinchronichemodialysispatients AT huangwenhung bonemarrowpathologypredictsmortalityinchronichemodialysispatients AT wangikwan bonemarrowpathologypredictsmortalityinchronichemodialysispatients AT yentzunghai bonemarrowpathologypredictsmortalityinchronichemodialysispatients |