Prognostic Biomarkers for Hepatic Veno-Occlusive Disease/Sinusoidal Obstruction Syndrome in Myeloablative Allogeneic Hematopoietic Cell Transplantation: Results from the Blood and Marrow Transplant Clinical Trials Network 1202 Study

Putta, Santosh; Young, Bradford A.; Levine, John E.; Reshef, Ran; Nakamura, Ryotaro; Strouse, Christopher; Perales, Miguel-Ángel; Howard, Alan; Pine, Polly; Ju, Sheng; Zhang, Peixin; Ho, Vincent T.; Saber, Wael

doi:10.1016/j.jtct.2022.11.024

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…Current research on VOD/SOS serological markers mainly focuses on sinusoidal endothelial injury and coagulation dysfunction. Key serological markers include endothelial injury markers such as intercellular adhesion molecule-1 (ICAM-1), vascular cell adhesion molecule-1 (VCAM-1), angiopoietin-2 (ANG-2), and ST2, as well as coagulation function markers such as plasminogen activator inhibitor-1 (PAI-1) and inflammatory-related cytokines such as tumor necrosis factor-α (TNF-α) and interleukins (IL series) [23][24][25][26][27].…”

Section: Serological Biomarkersmentioning

confidence: 99%

Progress in the Diagnosis and Treatment of Veno-Occlusive Disease/Sinusoidal Obstruction Syndrome After Allogeneic Hematopoietic Stem Cell Transplantation

Bai

2024

IJBLS

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In recent years, as the technology of haploidentical transplantation has become increasingly mature, allogeneic hematopoietic stem cell transplantation (allo-HSCT) has played an increasingly important role in the treatment of hematological diseases. However, veno-occlusive disease/sinusoidal obstruction syndrome (VOD/SOS) as a serious complication after allo-HSCT, has attracted much attention due to its extremely high mortality rate. This review aims to comprehensively explore the latest research progress of VOD/SOS after allo-HSCT, including epidemiological characteristics, pathogenesis, diagnostic criteria, prevention strategies and treatment regimens. First, the review summarizes the epidemiological features of VOD/SOS, pointing out that the incidence of the disease has shown a downward trend in recent years. In terms of pathogenesis, it emphasizes the core role of endothelial cell injury and the new progress in the aspects of intestinal microbiota and genetic susceptibility. Subsequently, the article reviews the updates of VOD/SOS diagnostic criteria in recent years, focusing on the quantification and clarification of the ambiguous parts in the traditional criteria, such as the optimal definition of hepatomegaly and ascites, the imaging characteristics of VOD/SOS, etc., making them more applicable in clinical practice, and further explores the new diagnostic technologies such as liver stiffness measurement and serological biomarkers. In terms of prevention, the article mainly evaluates the efficacy and safety of common prophylactic drugs for VOD/SOS. In terms of treatment, the article discusses the role of defibrotide in the treatment of VOD/SOS, and emphasizes the importance of supportive care and intensive monitoring. Finally, the review points out that although significant progress has been made in the diagnosis and treatment of VOD/SOS, further research is still needed to explore its complex pathophysiological mechanisms, to develop more specific and sensitive diagnostic criteria, and to devise more effective prevention and treatment strategies.

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Section: Serological Biomarkersmentioning

confidence: 99%

Progress in the Diagnosis and Treatment of Veno-Occlusive Disease/Sinusoidal Obstruction Syndrome After Allogeneic Hematopoietic Stem Cell Transplantation

Bai

2024

IJBLS

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“…[ 29 ] suggest the use of biomarkers for VOD identification. This however is not relevant to our work as we seek to predict the score that parametrises the risk for a patient at the pre-transplant stage, to develop VOD after they undergo the transplant.…”

Section: Introductionmentioning

confidence: 99%

“…This model choice leads to the need to learn the VOD-score at which the observed vector of pre-transplant parameters of the prospective-patient is realised; this is distinguished from the conventional closed-form prediction of the output of a GP-modelled function, at a test input [28]. [29] suggest the use of biomarkers for VOD identification. This however is not relevant to our work as we seek to predict the score that parametrises the risk for a patient at the pretransplant stage, to develop VOD after they undergo the transplant.…”

Section: Introductionmentioning

confidence: 99%

Constructing training set using distance between learnt graphical models of time series data on patient physiology, to predict disease scores

Chakrabarty,

Wang,

Roy

et al. 2023

PLoS ONE

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Interventional endeavours in medicine include prediction of a score that parametrises a new subject’s susceptibility to a given disease, at the pre-onset stage. Here, for the first time, we provide reliable learning of such a score in the context of the potentially-terminal disease VOD, that often arises after bone marrow transplants. Indeed, the probability of surviving VOD, is correlated with early intervention. In our work, the VOD-score of each patient in a retrospective cohort, is defined as the distance between the (posterior) probability of a random graph variable—given the inter-variable partial correlation matrix of the time series data on variables that represent different aspects of patient physiology—and that given such time series data of an arbitrarily-selected reference patient. Such time series data is recorded from a pre-transplant to a post-transplant time, for each patient in this cohort, though the data available for distinct patients bear differential temporal coverage, owing to differential patient longevities. Each graph is a Soft Random Geometric Graph drawn in a probabilistic metric space, and the computed inter-graph distance is oblivious to the length of the time series data. The VOD-score learnt in this way, and the corresponding pre-transplant parameter vector of each patient in this retrospective cohort, then results in the training data, using which we learn the function that takes VOD-score as its input, and outputs the vector of pre-transplant parameters. We model this function with a vector-variate Gaussian Process, the covariance structure of which is kernel parametrised. Such modelling is easier than if the score variable were the output. Then for any prospective patient, whose pre-transplant variables are known, we learn the VOD-score (and the hyperparameters of the covariance kernel), using Markov Chain Monte Carlo based inference.

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Early Complications of Endothelial Origin

Carreras,

Diaz-Ricart,

Jodele

et al. 2024

The EBMT Handbook

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During HCT, the vascular endothelium is affected by conditioning, IS agents, inflammatory molecules released by injured cells and tissues, endotoxins translocated across injured mucosal barriers, the complex process of engraftment, and in allo-HCT immune alloreactivity. This endothelial damage can affect the entire vascular endothelium or that of specific organs and be the triggering event for several of the early complications grouped under denomination vascular endothelial syndromes of HCT.

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Prognostic Biomarkers for Hepatic Veno-Occlusive Disease/Sinusoidal Obstruction Syndrome in Myeloablative Allogeneic Hematopoietic Cell Transplantation: Results from the Blood and Marrow Transplant Clinical Trials Network 1202 Study

Cited by 4 publications

References 30 publications

Progress in the Diagnosis and Treatment of Veno-Occlusive Disease/Sinusoidal Obstruction Syndrome After Allogeneic Hematopoietic Stem Cell Transplantation

Progress in the Diagnosis and Treatment of Veno-Occlusive Disease/Sinusoidal Obstruction Syndrome After Allogeneic Hematopoietic Stem Cell Transplantation

Constructing training set using distance between learnt graphical models of time series data on patient physiology, to predict disease scores

Early Complications of Endothelial Origin

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