Latent Class Analysis Identifies Pulmonary Function Trajectory Phenotypes in Lung Transplant Recipients with Chronic Allograft Dysfunction

Summary

This preprint, not yet peer reviewed, used joint latent class mixed models in two prospective multicentre cohorts (CTOT-20, n=206; LTOG, n=1418) of recipients with probable CLAD. Four FEV1 trajectory classes were found in CTOT-20 with nine-month graft loss of 72.3, 31.1, 2.2 and 0 percent; LTOG reproduced similar patterns with an extra class showing early improvement. A classification and regression tree in LTOG bilateral recipients had multiclass AUC 0.85 and was applied to CTOT-20 bilateral recipients. The authors suggest the tool may support risk stratification, trial enrichment and prognostication, and name the National Institutes of Health and the Cystic Fibrosis Foundation.

Details

doi

10.64898/2026.04.22.26351501

pmid

42078346

authors

Neely ML, Wojdyla DM, Hong H, Wang P, Anderson MR, Arroyo K, Belperio JA, Benvenuto L, Budev M, Combs MP, Dhillon G, Hsu JY, Kalman L, Martinu T, McDyer J, Oyster M, Pandya K, Reynolds JM, Rim JG, Roe DW, Shah PD, Singer JP, Singer LG, Snyder LD, Tsuang W, Weigt SS, Christie JD, Palmer SM, Todd JL

journal

medRxiv (preprint)

year

2026

Sources and links

• Publisher record via DOI (primary)
• PubMed 42078346

Related

Links from this record

• builds on: ISHLT 2019 CLAD states: Potential, Possible, Probable and Definite

Linked from (derived)

• author affiliation matches this institution (OpenAlex): UCSF Lung Transplant Program
• author affiliation matches this institution (OpenAlex): University of Michigan Health Lung Transplant Program
• evidence: Unclear endpoints and heterogeneous patients hinder CLAD trials

Known gaps in this record

• full text not read (abstract only)
• funding statement and grant numbers
• peer-reviewed version (none found)
• full author affiliations