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Updated: Jun 14, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Candidate selection, overall results, and choosing the right operation
Christian A Merlo1, Jonathan B Orens
1Department of Medicine, Division of Pulmonary and Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA. cmerlo@jhmi.edu
Lung transplantation improves survival for end-stage lung disease patients. Candidate selection, using the U.S. Lung Allocation Score (LAS), prioritizes need and survival, optimizing organ use and patient outcomes.
Area of Science:
- Pulmonology
- Transplant Surgery
- Medical Ethics
Background:
- Lung transplantation is a life-saving procedure for end-stage lung disease.
- International guidelines exist for selecting lung transplant candidates.
- The U.S. Lung Allocation Score (LAS) was developed to optimize organ allocation and patient selection.
Purpose of the Study:
- To review the criteria and scoring systems for selecting lung transplant candidates.
- To emphasize the importance of appropriate candidate selection for maximizing transplant utility and patient survival.
Main Methods:
- Review of existing international guidelines for lung transplant candidate selection.
- Analysis of the implementation and impact of the U.S. Lung Allocation Score (LAS).
- Discussion of clinical factors influencing post-transplant outcomes.
Main Results:
- The U.S. Lung Allocation Score (LAS) aims to balance organ scarcity with patient need and survival prognosis.
- Appropriate candidates have life-threatening lung disease but minimal comorbidities to ensure better long-term survival.
- Early referral and thorough evaluation are crucial for identifying suitable candidates.
Conclusions:
- Effective lung transplant candidate selection is vital for improving survival and quality of life.
- The Lung Allocation Score (LAS) aids in prioritizing patients with the greatest need and likelihood of success.
- Careful evaluation to exclude patients with significant comorbidities is essential for optimal long-term outcomes.
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