Historic Use of Race-Based Spirometry Values Lowered Transplant Priority for Black Patients

CHEST(2024)

引用 0|浏览4
暂无评分
摘要
BACKGROUND: The lung allocation score (LAS) is a tool used to prioritize patients for lung transplantation. For patients with interstitial lung diseases (ILDs), spirometry data are used for the LAS calculation. Spirometry values such as a FVC are subjected to race -specific equations that determine expected values. The effect of race -specific equations in LAS score remains unknown. RESEARCH QUESTION: Did the use of a race -based spirometry equation lead to longer waitlist times for Black patients? STUDY DESIGN AND METHODS: We performed a retrospective analysis of patients listed for lung transplantation from 2005 through 2020 using publicly available data from the United Network for Organ Sharing. We recalculated LAS scores for Black patients using White -specific equations with the available variables. The primary objective was to evaluate the effect of race -specific equations on LAS scores and time on the transplant waitlist. RESULTS: A total of 33,845 patients listed for lung transplantation were included in the analysis. White patients were listed at lower LAS scores, a higher proportion of White patients underwent transplantation, and White patients died on the waitlist at lower rates. When recalculating LAS scores using White -specific equations, Black patients with ILD had up to a 1.9 -point higher score, which resulted in additional waitlist time. INTERPRETATION: Race -specific equations led to longer wait times in Black patients listed for lung transplantation. The use of race -based equations widened already known disparities in pulmonary transplantation. CHEST 2024; 165(2):381-388
更多
查看译文
关键词
disparities,spirometry,transplant
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要