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Enregistrement W4402974316 · doi:10.1097/tp.0000000000005217

Finding Baseline With One New Lung

2024· article· en· W4402974316 sur OpenAlexaffabout
K. Halloran

Notice bibliographique

RevueTransplantation · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Obstructive Pulmonary Disease (COPD) Research
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésBaseline (sea)LungMedicineInternal medicinePolitical science

Résumé

récupéré en direct d'OpenAlex

Graft dysfunction continues to be a major challenge in the field of lung transplantation, with primary graft dysfunction (PGD) and chronic lung allograft dysfunction contributing substantially to mortality risk in the early and late phases of the posttransplant journey respectively.1 In recent years, a new conceptual phenotype of graft dysfunction has been introduced: baseline lung allograft dysfunction (BLAD), where lung function fails to reach a normal threshold—specifically, a forced expiratory volume in 1 s (FEV1) and a forced vital capacity of 80% of the predicted recipient reference values on 2 consecutive tests at least 3 wk apart.2 BLAD can be conceptualized as a physiologic state which can likely be the result of multiple different insults to the respiratory apparatus, including the lung tissue, the respiratory muscles, and the large airways, among others. It has now been associated with an increased risk of death in several single- and multicenter studies, and potentially with an increased risk of chronic lung allograft dysfunction as well.2-4 Defining “normal” in the initial studies, however, was done only in double-lung transplants, excluding single and lobar transplants given the lower donated tissue volumes given reference values for normal refer to a population of nontransplant recipients with 2 lungs free from disease. This has resulted in single-lung transplant recipients—who constitute up to one quarter of the world’s lung transplant recipients—being excluded from these discussions.1 In this issue of Transplantation, Gerckens et al5 from the University of Munich, Germany, attempt to address this issue by testing a different threshold in a pure cohort of single-lung transplant recipients from their center. Specifically, they selected a priori a threshold of 60% predicted for both the FEV1 and forced vital capacity, referencing previous publications showing that single-lung transplant recipients have tended to have roughly 20% less lung function compared with double lungs. They otherwise conducted an analogous analysis to the original publication from our group at the University of Alberta in Edmonton, Canada, assessing the survival association of failure to reach normal threshold and analyzing potential risk factors.2 The results paint a compelling picture that the 60% threshold in singles captures a similar physiologic risk state that 80% does in doubles, with an associated hazard ratio for death of 2.24 adjusted for age, sex at birth, and pretransplant disease category. Their noted prevalence of single-lung BLAD (43%) was also similar to previously cited estimates in double lungs, and a similar set of demographic and pretransplant factors was noted, most notably interstitial or restrictive lung disease as indication for transplant. An important observation here which is unique to single lungs is the relationship between native lung hyperinflation and BLAD. Native lung hyperinflation is a condition where patients who have undergone single-lung transplant for obstructive and hyperinflated lung diseases develop a posttransplant shift of the mediastinum toward the transplanted lung, resulting in compression of lung structure and function. The demonstration that this increases the risk of the single-lung BLAD construct is plausible and validates the authors’ proposed definition. One important relationship the authors were not able to analyze was the association between PGD and single-lung BLAD. Previous studies have shown an association between PGD and BLAD in double-lung transplant recipients, which could relate to uncorrectable tissue or airway damage from severe reperfusion injury, or potentially even long-term sequelae of critical illness.3,6 Testing this association in the unique context of single-lung transplants would have been interesting, but the authors were not able to retrieve this data element. As well, the authors note that although the 60% threshold is reasonable, it is not data-driven and it is possible that a different threshold may have dichotomized the population more effectively (the same is true of the double-lung threshold, even if 80% has a long history as a normal threshold in lung disease).7 Finally, as with the BLAD definition for double lungs, the use of a percent predicted approach has the desirable properties of familiarity and usability as well as defining abnormal and severity of abnormal with a single metric, but it has been criticized in pulmonary medicine for misclassifying patients and is not the main standard used in lung function interpretation now for normal thresholds.8,9 The Munich group’s approach to finding the normal baseline in single-lung transplants—defining a plausible threshold with a similar prevalence and survival association—is reasonable and will be an important piece of this puzzle but represents just 1 approach to the problem. Another approach may simply be to apply the same normal threshold to all lung transplant recipients, irrespective of the transplant type or the volume of donor lung (ie, lobar, nonanatomical size reduction, etc). Initially, this may seem illogical, but it may be more in line with the ultimate goal of lung transplantation: to restore normal lung function to restore quality and quantity of life irrespective of operation type. We do not expect most single-lung transplants to have the same function as double lungs and would therefore expect to see a higher prevalence of BLAD in single lungs, but viewed from another perspective, the generally poorer outcomes associated with nondouble-lung transplants may be in part explained by their increased risk of subnormal lung function.1,10 In essence, a unified threshold-based approach would be inclusive of single or lobar transplantation as a risk factor for BLAD, whereas the Munich group’s approach effectively tries to correct for the lower donor lung tissue volume in single-lung transplants. This study contributes meaningfully to the conversation about BLAD in lung transplant recipients and provides us insights into how to go about approaching this condition in single lung transplants. Ultimately, these questions will be best answered through international collaboration and consensus, including consideration of transplant type–specific thresholds, the role of lower limit of normal-based thresholds, understanding the causes and pathways that lead to BLAD, and most importantly, the path forward for BLAD patients in terms of investigations and treatments.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,016
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Étude de cas · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,063

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,016
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0030,003
Science ouverte0,0020,002
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,0190,008

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,025
Tête enseignante GPT0,312
Écart entre enseignants0,287 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeÉtude de cas
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2024
Routes d'admission2
Résumé présentoui

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