BACKGROUND: Despite recent increase of reduced intensity conditioning (RIC) transplantation, mortality rates after RIC and myeloabrative conditioning (MAC) HSCT remain high and hepatic veno-occlusive disease (VOD) cannot accurately predicted.

OBJECTIVE: To determine the value of risk factors associated with the development of VOD after allergenic HSCT with RIC and MAC. Estimating VOD based on clinical factors may further improve results of allogenic HSCT.

PATIENTS AND METHODS: A retrospective review of 415 consecutive allogenic HSCT was performed with attention to VOD, pre-transplant factors and laboratory data in five hematopoietic cell transplantation centers between 2000 and 2005. Patients underwent transplantation with MAC (n=247) or RIC (n=168). Main outcomes and risk factors were analyzed in multivariable analyses (a logistic regression model) with RIC and MAC. Three kind of laboratory data set, pre-transplant (day −10), post-transplant (day 20) and differences from pre-transplant to post-transplantation were analyzed.

RESULTS: VOD occurred in 65 of 415(15.7%) transplant recipients; 40 of 247(16.1%) with MAC and 25 of 168(14.9%) with RIC. Multivariate analyses identified risk factors with the development of VOD with MAC (albumin level, creatinine level) and with RIC (HCT-CI, number of prior chemotherapy regimen, ALT) in pre-transplant laboratory data set. The risk factors of VOD were identified in post-transplant and differences (Table). The Akaike’s information criterion (AIC) of risk factors with differences was better than with the post-transplant.

CONCLUSION: Our results provided risk factors of VOD with MAC and RIC. The estimation of VOD before transplantation may be useful for the selection of conditioning regimens. Differences of laboratory data with the time course of transplant may be useful for the early diagnosis of VOD.

MACPre-transpant dataPost-transplant dataDifferences data
ORP-ValueORP-ValueORP-Value
Age 0.945 0.0090 
Alb 0.290 0.0125 
Cr 10.204 0.0307 1.786 0.0039 1.984 0.0139 
TPro 0 358 0.0019 
TBi I 1.385 0.0027 1.314 0.0037 
Ara-C   5.000 0.0139 
goodness of fit AIC 106.727 126.499 86.931 
RIC Pre-transpant data Post-transplant data Differences data 
 OR P-Value OR P-Value OR P-Value 
Sex 3.401 0.0446 
HCTCI 3.922 0.0050 2.000 0.0123 
ImpScore 2.000 0.0314 
TPro 0.366 0.0091 
TBi I 1.675 0.0042 2.273 0.0004 
ALT 0.969 0.0432 
CY 5.682 0.0447 
goodness of fit AIC 61.552 91.09 52.808 
MACPre-transpant dataPost-transplant dataDifferences data
ORP-ValueORP-ValueORP-Value
Age 0.945 0.0090 
Alb 0.290 0.0125 
Cr 10.204 0.0307 1.786 0.0039 1.984 0.0139 
TPro 0 358 0.0019 
TBi I 1.385 0.0027 1.314 0.0037 
Ara-C   5.000 0.0139 
goodness of fit AIC 106.727 126.499 86.931 
RIC Pre-transpant data Post-transplant data Differences data 
 OR P-Value OR P-Value OR P-Value 
Sex 3.401 0.0446 
HCTCI 3.922 0.0050 2.000 0.0123 
ImpScore 2.000 0.0314 
TPro 0.366 0.0091 
TBi I 1.675 0.0042 2.273 0.0004 
ALT 0.969 0.0432 
CY 5.682 0.0447 
goodness of fit AIC 61.552 91.09 52.808 

Disclosures: No relevant conflicts of interest to declare.

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