Ventilation parameters and early graft function in double lung transplantation.


Journal

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
ISSN: 1557-3117
Titre abrégé: J Heart Lung Transplant
Pays: United States
ID NLM: 9102703

Informations de publication

Date de publication:
01 2021
Historique:
received: 13 06 2020
revised: 01 09 2020
accepted: 07 10 2020
pubmed: 5 11 2020
medline: 20 11 2021
entrez: 4 11 2020
Statut: ppublish

Résumé

Currently, the primary graft dysfunction (PGD) score is used to measure allograft function in the early post-lung transplant period. Although PGD grades at later time points (T48 hours and T72 hours) are useful to predict mid- and long-term outcomes, their predictive value is less relevant within the first 24 hours after transplantation. This study aimed to evaluate the capability of PGD grades to predict prolonged mechanical ventilation (MV) and compare it with a model derived from ventilation parameters measured on arrival at the intensive care unit (ICU). A retrospective single-center analysis of 422 double lung transplantations (LTxs) was performed. PGD was assessed 2 hours after arrival at ICU, and grades were associated with length of MV (LMV). In addition, peak inspiratory pressure (P In the retrospective cohort, a high percentage of extubated patients was reported at 24 hours (35.1%), 48 hours (68.0%), and 72 hours (80.3%) after transplantation. At T0 (time point defined as 2 hours after arrival at the ICU), patients with PGD grade 0 had a shorter LMV with a median of 26 hours (interquartile range [IQR]: 16-47 hours) than those with PGD grade 1 (median: 42 hours, IQR: 27-50 hours), PGD grade 2 (median: 37.5 hours, IQR: 15.5-78.5 hours), and PGD grade 3 (median: 46 hours, IQR: 27-86 hours). However, IQRs largely overlapped for all grades, and the value of PGD to predict prolonged MV was poor. A total of 3 ventilation parameters (P The prediction model reported in this study combines 3 easily obtainable variables. It can be employed immediately after LTx to quantify the risk of prolonged MV, an important early outcome parameter.

Sections du résumé

BACKGROUND
Currently, the primary graft dysfunction (PGD) score is used to measure allograft function in the early post-lung transplant period. Although PGD grades at later time points (T48 hours and T72 hours) are useful to predict mid- and long-term outcomes, their predictive value is less relevant within the first 24 hours after transplantation. This study aimed to evaluate the capability of PGD grades to predict prolonged mechanical ventilation (MV) and compare it with a model derived from ventilation parameters measured on arrival at the intensive care unit (ICU).
METHODS
A retrospective single-center analysis of 422 double lung transplantations (LTxs) was performed. PGD was assessed 2 hours after arrival at ICU, and grades were associated with length of MV (LMV). In addition, peak inspiratory pressure (P
RESULTS
In the retrospective cohort, a high percentage of extubated patients was reported at 24 hours (35.1%), 48 hours (68.0%), and 72 hours (80.3%) after transplantation. At T0 (time point defined as 2 hours after arrival at the ICU), patients with PGD grade 0 had a shorter LMV with a median of 26 hours (interquartile range [IQR]: 16-47 hours) than those with PGD grade 1 (median: 42 hours, IQR: 27-50 hours), PGD grade 2 (median: 37.5 hours, IQR: 15.5-78.5 hours), and PGD grade 3 (median: 46 hours, IQR: 27-86 hours). However, IQRs largely overlapped for all grades, and the value of PGD to predict prolonged MV was poor. A total of 3 ventilation parameters (P
CONCLUSIONS
The prediction model reported in this study combines 3 easily obtainable variables. It can be employed immediately after LTx to quantify the risk of prolonged MV, an important early outcome parameter.

Identifiants

pubmed: 33144029
pii: S1053-2498(20)31786-1
doi: 10.1016/j.healun.2020.10.003
pii:
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

4-11

Informations de copyright

Copyright © 2020 International Society for Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved.

Auteurs

Stefan Schwarz (S)

Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.

Alberto Benazzo (A)

Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.

Daniela Dunkler (D)

Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.

Moritz Muckenhuber (M)

Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.

Lorenzo Del Sorbo (LD)

Division of Thoracic Surgery, University Health Network, Toronto, Ontario, Canada.

Matteo Di Nardo (M)

Division of Thoracic Surgery, University Health Network, Toronto, Ontario, Canada.

Katharina Sinn (K)

Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.

Bernhard Moser (B)

Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.

José Ramon Matilla (JR)

Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.

Gyoergy Lang (G)

Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.

Shahrokh Taghavi (S)

Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.

Ferenc Renyi Vamos (FR)

Department of Thoracic Surgery, Semmelweis University-National Institute of Oncology, Budapest, Hungary.

Peter Jaksch (P)

Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.

Marcelo Cypel (M)

Division of Thoracic Surgery, University Health Network, Toronto, Ontario, Canada.

Shaf Keshavjee (S)

Division of Thoracic Surgery, University Health Network, Toronto, Ontario, Canada.

Walter Klepetko (W)

Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria.

Konrad Hoetzenecker (K)

Division of Thoracic Surgery, Medical University of Vienna, Vienna, Austria. Electronic address: konrad.hoetzenecker@meduniwien.ac.at.

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Classifications MeSH