Development of a Multivariate Prediction Model for Early-Onset Bronchiolitis Obliterans Syndrome and Restrictive Allograft Syndrome in Lung Transplantation.

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Serval ID
serval:BIB_CD968A83EB29
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Development of a Multivariate Prediction Model for Early-Onset Bronchiolitis Obliterans Syndrome and Restrictive Allograft Syndrome in Lung Transplantation.
Journal
Frontiers in medicine
Author(s)
Koutsokera A., Royer P.J., Antonietti J.P., Fritz A., Benden C., Aubert J.D., Tissot A., Botturi K., Roux A., Reynaud-Gaubert M.L., Kessler R., Dromer C., Mussot S., Mal H., Mornex J.F., Guillemain R., Knoop C., Dahan M., Soccal P.M., Claustre J., Sage E., Gomez C., Magnan A., Pison C., Nicod L.P.
Working group(s)
SysCLAD Consortium
ISSN
2296-858X (Print)
ISSN-L
2296-858X
Publication state
Published
Issued date
2017
Peer-reviewed
Oui
Volume
4
Pages
109
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Chronic lung allograft dysfunction and its main phenotypes, bronchiolitis obliterans syndrome (BOS) and restrictive allograft syndrome (RAS), are major causes of mortality after lung transplantation (LT). RAS and early-onset BOS, developing within 3 years after LT, are associated with particularly inferior clinical outcomes. Prediction models for early-onset BOS and RAS have not been previously described.
LT recipients of the French and Swiss transplant cohorts were eligible for inclusion in the SysCLAD cohort if they were alive with at least 2 years of follow-up but less than 3 years, or if they died or were retransplanted at any time less than 3 years. These patients were assessed for early-onset BOS, RAS, or stable allograft function by an adjudication committee. Baseline characteristics, data on surgery, immunosuppression, and year-1 follow-up were collected. Prediction models for BOS and RAS were developed using multivariate logistic regression and multivariate multinomial analysis.
Among patients fulfilling the eligibility criteria, we identified 149 stable, 51 BOS, and 30 RAS subjects. The best prediction model for early-onset BOS and RAS included the underlying diagnosis, induction treatment, immunosuppression, and year-1 class II donor-specific antibodies (DSAs). Within this model, class II DSAs were associated with BOS and RAS, whereas pre-LT diagnoses of interstitial lung disease and chronic obstructive pulmonary disease were associated with RAS.
Although these findings need further validation, results indicate that specific baseline and year-1 parameters may serve as predictors of BOS or RAS by 3 years post-LT. Their identification may allow intervention or guide risk stratification, aiming for an individualized patient management approach.
Keywords
bronchiolitis obliterans syndrome, chronic lung allograft dysfunction, chronic rejection, predictive model, restrictive allograft syndrome
Pubmed
Web of science
Open Access
Yes
Create date
05/09/2017 17:47
Last modification date
22/10/2020 6:23
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