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Enregistrement W2921420222 · doi:10.1097/aln.0000000000002671

Mechanical Ventilation in Acute Respiratory Distress Syndrome

2019· letter· en· W2921420222 sur OpenAlexaff
Lorenzo Del Sorbo, Rolf D. Hubmayr, Arthur S. Slutsky

Notice bibliographique

RevueAnesthesiology · 2019
Typeletter
Langueen
DomaineMedicine
ThématiqueRespiratory Support and Mechanisms
Établissements canadiensUniversity of TorontoUniversity Health NetworkToronto General HospitalSt. Michael's Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicineAcute respiratory distressMechanical ventilationRespiratory distressIntensive care medicineVentilation (architecture)Respiratory systemEmergency medicineAnesthesiaInternal medicineLung

Résumé

récupéré en direct d'OpenAlex

Acute respiratory distress syndrome (ARDS), characterized by the acute onset of hypoxemia (PaO2/FiO2 less than or equal to 300), bilateral pulmonary radiographic opacities, and diffuse inflammatory-induced pulmonary capillary leakage,1 is a critical public health issue. There are more than three million patients per year with ARDS receiving mechanical ventilation,2 and their mortality rate is very high, ranging from about 30% to 40%.3Over the last 25 yr, a substantial body of literature has clearly demonstrated that this high mortality rate is in part attributable to the injurious effects of mechanical ventilation, so-called ventilator-induced lung injury.4 Although significant progress has been made in reducing ventilator-induced lung injury and improving patient outcomes, current lung protective ventilatory strategies may still be associated with high risk of ventilator-induced lung injury, especially in patients with more severe ARDS.5 As such, increased understanding of the pathophysiologic mechanisms mediating ventilator-induced lung injury, through studies such as the one by Felix et al.6 in this issue of the Journal, is important to help design optimal ventilatory strategies,7 and potentially improve outcomes.The two major mechanisms that are thought to mediate ventilator-induced lung injury are regional alveolar overdistension, leading to barotrauma and volutrauma, and tidal airway opening and collapse, so-called atelectrauma.4 Both of these mechanisms of injury can lead to biotrauma with release of mediators into the lung, and then into the systemic circulation, which in turn can cause end-organ dysfunction and death.8 Other factors which are thought to play a role in ventilator-induced lung injury are respiratory rate,9 pulmonary blood flow,10 and development of pendelluft,11 although the precise contributions of each of the mechanisms are unclear.To minimize ventilator-induced lung injury, current clinical guidelines recommend the use of prone position in moderate to severe ARDS, and limiting tidal volume and airway pressures in all patients. In addition, the guidelines suggest that higher positive end-expiratory pressures (PEEP) may be beneficial in moderate and severe ARDS.12 However, the optimal reduction of airway pressure or tidal volume, or the optimal end-expiratory pressure and volume to prevent ventilator-induced lung injury and maximize survival, is not known, and crucial pathophysiological questions remain unanswered: Is it total lung volume or tidal volume that’s important? What is the optimal PEEP? Does the presence of lung inhomogeneity change the relationship between these critical variables? Is driving pressure or mechanical power delivered to the lung the key variable?Within the context of this fascinating and important field of research, Felix et al.6 have published an interesting study addressing a novel mechanism of ventilator-induced lung injury. The authors address the hypothesis that the lung injury induced by high tidal volume ventilation would be less if that high tidal volume was reached by gradually increasing tidal volume over time. The concept is that if the pulmonary extracellular matrix as well as epithelial and endothelial cells had time to adapt to the increased stretch, the injury would be less.In an experimental model of mild ARDS induced by intratracheal administration of lipopolysaccharide, the authors randomized rats to receive mechanical ventilation for a total of 2 h as follows: (1) Negative Control Group: low tidal volume (6 ml/kg) for 2 h, (2) No Adaptation Group (positive control): 6 ml/kg for 1 h followed by an abrupt increase to high tidal volume (22 ml/kg) for 1 h, (3) Shorter Adaptation Group: 6 ml/kg for 30 min followed by a slow progressive increase over 30 min to 22 ml/kg, then maintained at 22 ml/kg for 1 h, and (4) Longer Adaptation Group: Gradual increase from 6 ml/kg to 22 ml/kg over 60 min, then maintained for 1 h at 22 ml/kg. They found that the Shorter Adaptation Group had significantly less damage than the No Adaptation Group in a number of variables, including diffuse alveolar damage, interstitial edema, alveolar inhomogeneity, significantly less mRNA lung tissue expression of interleukin 6 (a biomarker for inflammation), less amphiregulin (a biomarker for mechanical pulmonary stretch), and less matrix metalloproteinase 9 (a biomarker of extracellular matrix damage).These results are generally in accord with previous studies that have addressed the impact of slow increases in PEEP on lung recruitment and lung injury. Silva et al.13 demonstrated in an experimental model of acute lung injury that stepwise recruitment maneuvers were associated with less pulmonary injury compared with sustained inflations at constant airway pressure. Chiumello et al.14 demonstrated a time-dependent impact of PEEP on oxygenation in patients with ARDS, such that when PEEP was increased from 5 to 10 to 15 cm H2O the new equilibrium of gas exchange was not reached even after 60 min, whereas adaptation was faster during decremental PEEP changes.In essence, it is possible that relatively slow increases in tidal volume as used by Felix et al.6 could have led to recruitment of lung units during the slow increases in tidal volume, thus gradually decreasing lung inhomogeneities, and hence decreasing the stress and strain during and at the end of the gradual increase in tidal volume.Another interesting hypothesis potentially explaining the importance of time in maximizing lung adaptation to high stress and strain relates to the ability of the lung tissue to repair itself relatively quickly, as nicely demonstrated in a number of experimental studies.15 Stress adaptation may be viewed as a highly coordinated reorganization within and between cytoskeletal networks, cellular plasma and endomembrane stores, and the supporting lung matrix. These events occur on a subsecond timescale and are integral to the pathogenesis of ventilator-induced lung injury.16 Although it is convenient to consider ventilator-induced lung injury as the result of having exceeded some physical injury threshold, there are undoubtedly complex nonlinear interactions between physical input amplitude and frequency, and the temporal expressions of local and systemic responses.So far, all of this makes for a very good story. However, there is one aspect of Felix et al.’s study which is very difficult to explain. According to the mechanisms described above, the Longer Adaptation Group, which should have had similar or less injury than the Shorter Adaptation Group, had greater injury, and in fact had injury similar to those animals who received the abrupt increase in tidal volume. The authors suggest that this may have been because the Longer Adaptation Group had a greater cumulative transfer of power (area under the curve of power vs. time) over the 2-hour period compared with the Shorter Adaptation Group. However, if this were the critical variable, then the No Adaptation Group should have had the least injury of any of the intervention groups—but it did not. In addition, if the cumulative transfer of power is indeed the critical variable, then over time the impact of any adaptation strategy would eventually become insignificant.Given this unexpected finding, it is difficult to make direct clinical inferences from this work. It is also unclear whether this adaptation to a progressive increase in tidal volume would occur in humans who have larger lungs, and diverse mechanisms and severities of underlying injury.The study by Felix et al.6 is intriguing, shining a spotlight on a mechanism of lung injury that has not received a great deal of investigation. And, as with many intriguing studies, it raises more questions than it answers.The authors are not supported by, nor maintain any financial interest in, any commercial activity that may be associated with the topic of this article.

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)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,012
Score d'incertitude au seuil0,040

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0120,003

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 Opus0,027
Tête enseignante GPT0,279
Écart entre enseignants0,252 · 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'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations1
Publié2019
Routes d'admission1
Résumé présentoui

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