Identification and Validation of a Threshold for Early Posttransplant Bronchoalveolar Fluid Hyaluronan that Distinguishes Lung Recipients at Risk for CLAD.

bronchoalveolar lavage fluid chronic lung allograft dysfunction hyaluronan lung transplantation

Journal

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
ISSN: 1557-3117
Titre abrégé: J Heart Lung Transplant
Pays: United States
ID NLM: 9102703

Informations de publication

Date de publication:
22 Oct 2024
Historique:
received: 26 06 2024
revised: 25 09 2024
accepted: 11 10 2024
medline: 25 10 2024
pubmed: 25 10 2024
entrez: 24 10 2024
Statut: aheadofprint

Résumé

Few tools exist for early identification of patients at risk for chronic lung allograft dysfunction (CLAD). We previously showed hyaluronan (HA), a matrix molecule that regulates lung inflammation and fibrosis, accumulates in bronchoalveolar lavage fluid (BALF) and blood in CLAD. We aimed to determine if early posttransplant HA elevations inform CLAD risk. HA was quantified in 3080 BALF and 1323 blood samples collected over the first posttransplant year in 743 adult lung recipients at 5 centers. The relationship between BALF or blood HA and CLAD was assessed using Cox models with a time-dependent binary covariate for "elevated" HA. Potential thresholds for elevated HA were examined using a grid search between the 50th and 85th percentile. The optimal threshold was identified using fit statistics, and the association between the selected threshold and CLAD was internally validated through iterative resampling. A multivariable Cox model using the selected threshold was performed to evaluate the association of elevated HA with CLAD considering other factors that may influence CLAD risk. BALF HA levels >19.1ng/mL (65th percentile), had the largest hazard ratio for CLAD (HR 1.70, 95% CI 1.25-1.31; p<0.001), optimized fit statistics, and demonstrated robust reproducibility. In a multivariable model, the occurrence of BALF HA >19.1 ng/mL in the first posttransplant year conferred a 66% increase in the hazards for CLAD (adjusted HR 1.66, 95% CI 1.19-2.32; p=0.003). Blood HA was not significantly associated with CLAD. We identified and validated a precise threshold for BALF HA in the first posttransplant year that distinguishes patients at increased CLAD risk.

Sections du résumé

BACKGROUND BACKGROUND
Few tools exist for early identification of patients at risk for chronic lung allograft dysfunction (CLAD). We previously showed hyaluronan (HA), a matrix molecule that regulates lung inflammation and fibrosis, accumulates in bronchoalveolar lavage fluid (BALF) and blood in CLAD. We aimed to determine if early posttransplant HA elevations inform CLAD risk.
METHODS METHODS
HA was quantified in 3080 BALF and 1323 blood samples collected over the first posttransplant year in 743 adult lung recipients at 5 centers. The relationship between BALF or blood HA and CLAD was assessed using Cox models with a time-dependent binary covariate for "elevated" HA. Potential thresholds for elevated HA were examined using a grid search between the 50th and 85th percentile. The optimal threshold was identified using fit statistics, and the association between the selected threshold and CLAD was internally validated through iterative resampling. A multivariable Cox model using the selected threshold was performed to evaluate the association of elevated HA with CLAD considering other factors that may influence CLAD risk.
RESULTS RESULTS
BALF HA levels >19.1ng/mL (65th percentile), had the largest hazard ratio for CLAD (HR 1.70, 95% CI 1.25-1.31; p<0.001), optimized fit statistics, and demonstrated robust reproducibility. In a multivariable model, the occurrence of BALF HA >19.1 ng/mL in the first posttransplant year conferred a 66% increase in the hazards for CLAD (adjusted HR 1.66, 95% CI 1.19-2.32; p=0.003). Blood HA was not significantly associated with CLAD.
CONCLUSIONS CONCLUSIONS
We identified and validated a precise threshold for BALF HA in the first posttransplant year that distinguishes patients at increased CLAD risk.

Identifiants

pubmed: 39448000
pii: S1053-2498(24)01900-4
doi: 10.1016/j.healun.2024.10.014
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Jamie L Todd (JL)

Department of Medicine, Duke University Medical Center, Durham, NC; Duke Clinical Research Institute, Durham, NC. Electronic address: jamie.todd@duke.edu.

Jeremy M Weber (JM)

Duke Clinical Research Institute, Durham, NC.

Francine L Kelly (FL)

Department of Medicine, Duke University Medical Center, Durham, NC.

Andrew Nagler (A)

Department of Medicine, Duke University Medical Center, Durham, NC.

Patrick McArthur (P)

Department of Medicine, Duke University Medical Center, Durham, NC.

Lerin Eason (L)

Department of Medicine, Duke University Medical Center, Durham, NC.

Jeeyon G Rim (JG)

Department of Medicine, Duke University Medical Center, Durham, NC.

Courtney W Frankel (CW)

Department of Medicine, Duke University Medical Center, Durham, NC.

John A Belperio (JA)

Department of Medicine, University of California Los Angeles, Los Angeles, CA.

Marie Budev (M)

Department of Medicine, Cleveland Clinic, Cleveland, OH.

Tereza Martinu (T)

Department of Medicine, University Health Network, Toronto, ON; Department of Medicine, University of Toronto, Toronto, ON; Toronto Lung Transplant Program, Ajmera Transplant Centre, University Health Network, Toronto, ON.

Kunal Patel (K)

Department of Surgery, Duke University Medical Center, Durham, NC.

John M Reynolds (JM)

Department of Medicine, Duke University Medical Center, Durham, NC.

Pali D Shah (PD)

Department of Medicine, Johns Hopkins University, Baltimore, MD.

Lianne G Singer (LG)

Department of Medicine, University Health Network, Toronto, ON; Department of Medicine, University of Toronto, Toronto, ON; Toronto Lung Transplant Program, Ajmera Transplant Centre, University Health Network, Toronto, ON.

Laurie D Snyder (LD)

Department of Medicine, Duke University Medical Center, Durham, NC; Duke Clinical Research Institute, Durham, NC.

Wayne Tsuang (W)

Department of Medicine, Cleveland Clinic, Cleveland, OH.

S Sam Weigt (SS)

Department of Medicine, University of California Los Angeles, Los Angeles, CA.

Megan L Neely (ML)

Duke Clinical Research Institute, Durham, NC; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC.

Scott M Palmer (SM)

Department of Medicine, Duke University Medical Center, Durham, NC; Duke Clinical Research Institute, Durham, NC.

Classifications MeSH