TY - JOUR
T1 - Donor-derived cell-free DNA as a composite marker of acute lung allograft dysfunction in clinical care
AU - Keller, Michael
AU - Sun, Junfeng
AU - Mutebi, Cedric
AU - Shah, Pali
AU - Levine, Deborah
AU - Aryal, Shambhu
AU - Iacono, Aldo
AU - Timofte, Irina
AU - Mathew, Joby
AU - Varghese, Anu
AU - Giner, Cassandra
AU - Agbor-Enoh, Sean
N1 - Funding Information:
Funding: Dr. Sean Agbor-Enoh receives funding from the Cystic Fibrosis Foundation ( AGBORE20QI0 ), the National Institute of Health Distinguished Scholar Program and the National Heart, Lung and Blood Institute Intramural Research division.
Funding Information:
Funding: Dr. Sean Agbor-Enoh receives funding from the Cystic Fibrosis Foundation (AGBORE20QI0), the National Institute of Health Distinguished Scholar Program and the National Heart, Lung and Blood Institute Intramural Research division. The authors report no relevant financial disclosures. The authors thank CareDx Inc. (Brisbane, California) for dd-cfDNA testing (AlloSure) for compassionate care use, and for providing the infrastructure to draw blood at patient's homes. The authors will also like to thank Xin Tian and Cedric Mutebi for establishing the database for data collection and Pragnesh Mistry and Jennifer Dockiewicz for providing administrative support.
Publisher Copyright:
© 2021 International Society for Heart and Lung Transplantation
PY - 2022/4
Y1 - 2022/4
N2 - Background: As a marker of underlying lung allograft injury, donor-derived cell-free DNA (dd-cfDNA) may be used to identify episodes of acute allograft injury in lung transplant recipients. We investigated the utility of dd-cfDNA to monitor subjects at risk of acute rejection or infection in routine clinical practice. Methods: This multicenter, retrospective cohort study collected data from lung transplant recipients within 3 years of transplant at 4 centers between March 24, 2020 and September 1, 2020. During this period, as part of routine care during the COVID-19 pandemic, these centers implemented a home-based surveillance program using plasma dd-cfDNA in preference to surveillance bronchoscopy. Dd-cfDNA was used to detect acute lung allograft dysfunction (ALAD) – a composite endpoint of acute rejection and infection. dd-cfDNA levels in patients with ALAD were compared to stable patients. The performance characteristics of dd-cfDNA ≥ 1.0% to detect ALAD were estimated. Results: A total of 175 patients underwent 380 dd-cfDNA measurements, of which 290 were for routine surveillance purposes. dd-cfDNA was higher in patients with ALAD than stable patients (Median (IQR) 1.7% (0.63, 3.1) vs 0.35% (0.22, 0.79), p < 0.001). As an indication of underlying ALAD during surveillance testing, the estimated sensitivity of dd-cfDNA ≥1% was 73.9%, specificity of 87.7%, positive predictive value of 43.4% and negative predictive value of 96.5%. Conclusions: dd-cfDNA identified acute lung allograft dysfunction in asymptomatic lung transplant patients that may not have been identified by using a clinically indicated biopsy strategy alone. dd-cfDNA <1.0% may be useful in ruling out acute rejection and infection, supporting its use as a potential noninvasive marker for surveillance monitoring.
AB - Background: As a marker of underlying lung allograft injury, donor-derived cell-free DNA (dd-cfDNA) may be used to identify episodes of acute allograft injury in lung transplant recipients. We investigated the utility of dd-cfDNA to monitor subjects at risk of acute rejection or infection in routine clinical practice. Methods: This multicenter, retrospective cohort study collected data from lung transplant recipients within 3 years of transplant at 4 centers between March 24, 2020 and September 1, 2020. During this period, as part of routine care during the COVID-19 pandemic, these centers implemented a home-based surveillance program using plasma dd-cfDNA in preference to surveillance bronchoscopy. Dd-cfDNA was used to detect acute lung allograft dysfunction (ALAD) – a composite endpoint of acute rejection and infection. dd-cfDNA levels in patients with ALAD were compared to stable patients. The performance characteristics of dd-cfDNA ≥ 1.0% to detect ALAD were estimated. Results: A total of 175 patients underwent 380 dd-cfDNA measurements, of which 290 were for routine surveillance purposes. dd-cfDNA was higher in patients with ALAD than stable patients (Median (IQR) 1.7% (0.63, 3.1) vs 0.35% (0.22, 0.79), p < 0.001). As an indication of underlying ALAD during surveillance testing, the estimated sensitivity of dd-cfDNA ≥1% was 73.9%, specificity of 87.7%, positive predictive value of 43.4% and negative predictive value of 96.5%. Conclusions: dd-cfDNA identified acute lung allograft dysfunction in asymptomatic lung transplant patients that may not have been identified by using a clinically indicated biopsy strategy alone. dd-cfDNA <1.0% may be useful in ruling out acute rejection and infection, supporting its use as a potential noninvasive marker for surveillance monitoring.
KW - acute lung allograft injury
KW - dd-cfDNA
KW - lung transplant
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U2 - 10.1016/j.healun.2021.12.009
DO - 10.1016/j.healun.2021.12.009
M3 - Article
C2 - 35063338
AN - SCOPUS:85123079252
SN - 1053-2498
VL - 41
SP - 458
EP - 466
JO - Journal of Heart and Lung Transplantation
JF - Journal of Heart and Lung Transplantation
IS - 4
ER -