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Mancin S, Cangelosi G, Matteucci S, Palomares SM, Parozzi M, Sandri E, Sguanci M, Piredda M. The Role of Vitamin D in Hematopoietic Stem Cell Transplantation: Implications for Graft-versus-Host Disease-A Narrative Review. Nutrients 2024; 16:2976. [PMID: 39275291 PMCID: PMC11397640 DOI: 10.3390/nu16172976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 08/27/2024] [Accepted: 09/02/2024] [Indexed: 09/16/2024] Open
Abstract
INTRODUCTION/AIM Vitamin D plays a crucial role in immune modulation, which may influence the development of graft-versus-host disease (GvHD) in patients undergoing hematopoietic stem cell transplantation (HSCT). This study aims to evaluate the impact of vitamin D levels and supplementation on the incidence of GvHD in HSCT patients. METHODS A narrative review was conducted across PubMed/Medline, Cochrane Library, CINAHL, and Embase databases. RESULTS The reviewed studies indicated widespread vitamin D deficiency among HSCT patients, with baseline levels ranging from 12.8 to 29.2 ng/mL. Supplementation protocols varied significantly, with dosages ranging from 1000 IU/day to 60,000 IU/week. Post-supplementation levels improved in some studies. Studies exploring the relationship between vitamin D and GvHD showed mixed results. Lower baseline vitamin D levels were associated with an increased risk of acute GvHD in some studies, while others found no significant correlation. However, a significant association between low levels of vitamin D and the incidence of chronic GvHD was observed. CONCLUSION Vitamin D deficiency is prevalent in HSCT patients and may influence the risk of developing chronic GvHD. Future research should focus on larger and more rigorous studies to determine the optimal role of vitamin D as an adjuvant therapy in the context of HSCT.
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Affiliation(s)
- Stefano Mancin
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy
| | - Giovanni Cangelosi
- Units of Diabetology, ASUR Marche, Via Augusto Murri 21, 63900 Fermo, Italy
| | - Sofia Matteucci
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano, Italy
| | - Sara Morales Palomares
- Department of Pharmacy, Health and Nutritional Sciences (DFSSN), University of Calabria, 87036 Rende, Italy
| | - Mauro Parozzi
- School of Nursing, ASST Santi Paolo e Carlo, "San Paolo" Campus, University of Milan, 20142 Milan, Italy
| | - Elena Sandri
- Faculty of Medicine and Health Sciences, Catholic University of Valencia San Vicente Mártir, c/Quevedo, 2, 46001 Valencia, Spain
| | - Marco Sguanci
- Research Unit of Nursing Science, Department of Medicine and Surgery, Campus Bio-Medico di Roma University, Via Alvaro del Portillo 21, 00128 Rome, Italy
| | - Michela Piredda
- Research Unit of Nursing Science, Department of Medicine and Surgery, Campus Bio-Medico di Roma University, Via Alvaro del Portillo 21, 00128 Rome, Italy
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Wang C, Wei XL, Li CX, Wang YZ, Wu Y, Niu YX, Zhang C, Yu Y. Efficient and Highly Accurate Diagnosis of Malignant Hematological Diseases Based on Whole-Slide Images Using Deep Learning. Front Oncol 2022; 12:879308. [PMID: 35756613 PMCID: PMC9226668 DOI: 10.3389/fonc.2022.879308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 04/27/2022] [Indexed: 11/13/2022] Open
Abstract
Hematopoietic disorders are serious diseases that threaten human health, and the diagnosis of these diseases is essential for treatment. However, traditional diagnosis methods rely on manual operation, which is time consuming and laborious, and examining entire slide is challenging. In this study, we developed a weakly supervised deep learning method for diagnosing malignant hematological diseases requiring only slide-level labels. The method improves efficiency by converting whole-slide image (WSI) patches into low-dimensional feature representations. Then the patch-level features of each WSI are aggregated into slide-level representations by an attention-based network. The model provides final diagnostic predictions based on these slide-level representations. By applying the proposed model to our collection of bone marrow WSIs at different magnifications, we found that an area under the receiver operating characteristic curve of 0.966 on an independent test set can be obtained at 10× magnification. Moreover, the performance on microscopy images can achieve an average accuracy of 94.2% on two publicly available datasets. In conclusion, we have developed a novel method that can achieve fast and accurate diagnosis in different scenarios of hematological disorders.
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Affiliation(s)
- Chong Wang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,School of Medical Engineering, Xinxiang Medical University, Xinxiang, China.,Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xiu-Li Wei
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China.,Department of Hematology, Xinxiang First People's Hospital, Xinxiang, China
| | - Chen-Xi Li
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China.,Department of Hematology, Xinxiang First People's Hospital, Xinxiang, China
| | - Yang-Zhen Wang
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,School of Life Sciences, Tsinghua University, Beijing, China
| | - Yang Wu
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China.,Henan Province Neural Sensing and Control Engineering Technology Research Center, Xinxiang, China
| | - Yan-Xiang Niu
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China.,Henan Province Neural Sensing and Control Engineering Technology Research Center, Xinxiang, China
| | - Chen Zhang
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Chinese Institute for Brain Research, Beijing, China
| | - Yi Yu
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China.,Henan Province Neural Sensing and Control Engineering Technology Research Center, Xinxiang, China
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Young JR, Vignaly L, O'Connor CM, Czajka CM, Rosenbaum AJ. Perioperative Management of Orthopaedic Patients with Hematologic Disorders: A Critical Analysis Review. JBJS Rev 2021; 8:e0001. [PMID: 32487975 DOI: 10.2106/jbjs.rvw.20.00001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Perioperative management of orthopaedic patients with a hematologic disorder is a complex endeavor that requires a multidisciplinary team-based approach. A team composed of an experienced orthopaedic surgeon, an anesthesiologist, and a hematologist is necessary to achieve optimal outcomes. Patients with hemophilia and other complex hematologic disorders should be managed at, or in consultation with a hematologist at, a comprehensive hemophilia center. Bleeding disorders and inherited thrombophilia present unique challenges for the perioperative management of orthopaedic surgery. Comprehensive preoperative planning and familiarity with treatment guidelines can help to minimize these risks.
Knowledge of the disease processes outlined in this article will provide orthopaedic surgeons with the requisite background knowledge that is needed to initiate safe and effective treatment strategies involving this high-risk patient population.
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Affiliation(s)
- Joseph R Young
- Division of Orthopedic Surgery, Albany Medical Center, Albany, New York
| | - Lauren Vignaly
- Division of Orthopedic Surgery, Albany Medical Center, Albany, New York
| | - Casey M O'Connor
- Division of Orthopedic Surgery, Albany Medical Center, Albany, New York
| | - Cory M Czajka
- Division of Orthopedic Surgery, Albany Medical Center, Albany, New York
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Tung A. Too Early for a Narrative Review? Anesth Analg 2020; 129:333-334. [PMID: 31313671 DOI: 10.1213/ane.0000000000004249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Avery Tung
- From the Department of Anesthesia and Critical Care, University of Chicago, Chicago, Illinois
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