Criteria for identifying acute respiratory events based on FEV1 decline in home spirometry for lung transplant patients
The proposed algorithm using LT-FollowUp data shows promise for the real-time detection of respiratory events in lung transplant patients, potentially facilitating early interventions that may prevent chronic lung allograft dysfunction. Further validation in larger, multi-centre studies is needed to confirm these findings and enhance clinical utility.
Authors
- Miho Yamaguchi
- Kazumichi Yamamoto (ORCID: https://orcid.org/0000-0003-1373-7100)
- Muhammad Wannous (ORCID: https://orcid.org/0000-0003-2669-8294)
- Masaaki Sato (ORCID: https://orcid.org/0000-0002-4755-3265)
- Yan Luo (ORCID: https://orcid.org/0000-0002-4793-253X)
- Yoshikazu Shinohara (ORCID: https://orcid.org/0000-0002-3462-2268)
Institutions
- Sumitomo Chemical (Japan) (JP)
- Al Ain University (AE)
- Kyoto University (JP)
- The University of Tokyo (JP)
- Zayed University (AE)
Publication Details
- Journal
- BMC Pulmonary Medicine
- Published
- 2025-04-12
- DOI
- https://doi.org/10.1186/s12890-025-03649-2
- Citations
- 3
- Primary Topic
- Transplantation: Methods and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 6.02
Funders
- Japan Society for the Promotion of Science