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Enregistrement W4249540588 · doi:10.5339/qmj.2017.swacelso.3

Respiratory ECMO

2017· article· en· W4249540588 sur OpenAlexaboutno aff
Ibrahim Fawzy Hassan

Notice bibliographique

RevueQatar medical journal · 2017
Typearticle
Langueen
DomaineEngineering
ThématiqueMechanical Circulatory Support Devices
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineRespiratory systemIntensive care medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

Introduction: The H1N1 epidemic in 2009 caused a significant increase in the utilization of respiratory extracorporeal membrane oxygenation (ECMO) therapy for severe respiratory failure (SRF) patients who failed to improve following conventional ventilation therapy. Its use was linked to a high patient survival rate (more than 70%) reported from Australian and New Zealand 1 as well as Canadian ECMO 2 registries. It eventually led to the CESAR randomized controlled trial 3 that clearly showed mortality benefits for adult patients with, potentially reversible, severe respiratory failure who were treated in ECMO centers. In that study, more than 63% of the referred patients survived and 75% of them received ECMO therapy, whereas in the conventional treatment arm, the survival rate was only 47%. The significant change in the outcome, compared with old data, is related to several factors, such as advances in ECMO technologies, the use of veno-venous (VV) ECMO instead of veno-arterial (VA) ECMO, advances in the tubing and the membrane that are currently used, better understanding of lung and patient management during ECMO therapy, and early deployment of the rescue therapy. In this review, we are going to discuss the physiology of oxygenation and the overall management strategy on ECMO during early course of active inflammation, all the way through to weaning during the healing phase of the lung injury. O 2 is a perfusion-limited gas: This means that O 2 depends not only on its ability to diffuse through the membrane, which is 25 times less than CO 2 , but also on perfusion capacity of the area being oxygenated. To explain that in a simple way, we will assume that O 2 is a gas that cannot swim in the blood, and if it is left alone it will sink and cause free radical injury. It needs a carrier, such as the hemoglobin, and flow, which is the cardiac output or ECMO flow to push that carrier. If the transport capability of the blood is saturated, additional oxygen will be left out and will not be transported to the rest of the body. The perfusion limitation concept is very important to understand the shunt physiology. For example, if a patient with complete consolidation of both lungs has a cardiac output of 10 L/min and is on a 5 L/min ECMO flow, only 50% of the patient cardiac output is getting exposed to the gas exchange area and 50% is shunting through the diseased lung. When they mix together, 50% of the blood will be de-oxygenated, which will cause severe persistent hypoxemia. To solve this problem, we either recruit more lung units or decrease the overall patient cardiac output to decrease the intrapulmonary shunt. Adding more oxygen to either disease obstructed alveoli or the ECMO membrane will not solve the problem. 4 Carbon dioxide is a diffusion-limited gas: CO 2 does not have the same problem as oxygen. It can ride on the hemoglobin, the albumin, and can also swim in the CO 2 –HCO 3 buffer. The only limitation of CO 2 is the flow of fresh air, whether it is minute ventilation or ECMO sweep gas flow, and this is related to the very low concentration of CO 2 in room air and its ability to diffuse through the membrane 25 times more than oxygen. CO 2 clearance on ECMO can be controlled by increasing the sweep gas flow. The difference between membrane lung and artificial membrane: Despite the significant advances in technologies, the artificial lung development remains in its infancy and far from complete for various reasons: The total surface area of a normal human lung is about 70 m 2 , whereas the best artificial lung membrane has a maximum equivalent of 4 m 2 . The thickness of a normal human lung is about 0.5 μm, whereas an artificial membrane is 300 times thicker, with an average thickness of 150 μm. Important factors affecting the diffusion and the uptake of oxygen are: A– The red blood cell (RBC) transient time, which is 0.4–1 second in a normal lung and much shorter in the artificial membrane lung. B– The way that RBC cross the normal capillary is almost one cell at the time, compared with the membrane lung capillary where red blood cells cross in clusters. For all the above reasons, the maximum oxygen transfer capability of the artificial membrane (400–600 mL O 2 /min) is much less than the normal human lung (>2000 mL O 2 /min). Lung periods during ECMO run: It is of crucial importance to differentiate between the early course and the late course on ECMO therapy for severe ARDS. Early course: It can last from a few days to a couple of weeks depending on the nature of the pathogen that is causing the lung injury and whether it is associated with a multi-organ dysfunction syndrome and shock or not. This period is characterized by severe lung inflammation and systemic inflammation with increased O 2 consumption and decreased O 2 delivery, with non- or minimally recruitable alveoli. The focuses in this phase are: 1– Maximizing ECMO flow as the patient depends almost 100% on the ECMO for oxygenation to maximize O 2 delivery; 2– Resting the lung and switching the focus of ventilation from enhancing lung recruitment to preventing the de-recruitment of whatever is left of the lung tissue. 3– Full patient rest to decrease O 2 consumption, which will also decrease the cardiac output appropriately and hence decrease intra-pulmonary shunt. This is usually achieved by sedation, paralysis, temperature control, and sometimes adding beta blockade. 4– Optimizing the native lung function by early diagnosis and treatment of the underlying condition, negative fluid balance if tolerated by the ECMO flow and secretion mobilization usually with bronchoscopies rather than just physiotherapy, as the patient is usually deeply sedated. Late course: It usually starts when the systemic and lung inflammation is decreasing, and when the exhaled tidal volume of the diseased lung and dead space fraction start to improve. The period can last from several days to couple of weeks depending on all the factors mentioned above. The focuses in this phase are: 1– Starting to wean ECMO flow and sweep gas flow to allow the stimulation of the native lung. 2– Focusing on lung recruitment and diaphragmatic muscle dysfunction prevention using various ventilation modes such as neutrally adjusted ventilatory assist (NAVA), pressure support ventilation (PSV), and others, and also early extubation on ECMO is warranted. 3– Weaning of all sedatives and paralytics, management of delirium, an

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)0,002
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: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,070
Score d'incertitude au seuil0,236

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0020,001
Science ouverte0,0010,002
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0700,046

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 Opus0,029
Tête enseignante GPT0,279
Écart entre enseignants0,250 · 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
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

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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