A Matched Survival Analysis of Lung Transplant Recipients With Coronavirus Disease 2019-Related Respiratory Failure

ANNALS OF THORACIC SURGERY(2023)

引用 3|浏览6
暂无评分
摘要
BACKGROUND Lung transplantation is an acceptable and potentially life-saving treatment option for coronavirus disease 2019 (COVID-19)-induced acute respiratory distress syndrome and pulmonary fibrosis. This study was con-ducted to determine whether recipients of lung transplantation (LT) for COVID-19-related lung disease have comparable outcomes to other recipients with a similar level of lung dysfunction. METHODS The Organ Procurement and Transplant Network database was queried for adult LT candidates between 2006 and 2021. Recipients with COVID-19-related respiratory failure were matched 1:2 using a nearest-neighbor algorithm. Kaplan-Meier methods with log-rank tests were used to compare long-term survival. A proportional hazards model was used to calculate risk of death. RESULTS A total of 37,333 LT candidates from all causes were compared with 334 candidates from COVID-19-related respiratory failure. COVID-19 recipients were more likely to be younger (50 vs 57 years, P < .001), male (79% vs 60%, P < .001), require extracorporeal membrane oxygenation (56.3% vs 4.0%, P < .001), and have worse lung function (lung allocation score, 82.4 vs 47.8; P < .001) at transplantation. Subsequently, 227 COVID-19 recipients were matched with 454 controls. Patients who received a transplant for COVID-19 had similar rates of mechanical ventilation, extracorporeal membrane oxygenation, postoperative complications, and functional status at discharge compared with controls. There was no difference in overall survival or risk of death from COVID-19 (hazard ratio, 0.82; 95% CI, 0.45-1.53; P [ .54). CONCLUSIONS Six-month survival for recipients of LT for COVID-19-related respiratory failure was comparable to that of other LT recipients.(Ann Thorac Surg 2023;116:819-29)(c) 2023 by The Society of Thoracic Surgeons. Published by Elsevier Inc.
更多
查看译文
关键词
lung transplant recipients,coronavirus disease,matched survival analysis
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