Rebuttal from Jeremy R. Beitler, Rolf D. Hubmayr and Atul Malhotra
Notice bibliographique
Résumé
More than a decade after low tidal volume ventilation for acute respiratory distress syndrome (ARDS) first gained widespread acceptance, it is still unknown how best to manage its effects on minute ventilation. High respiratory rate, or permissive hypercapnia? Limiting respiratory rate has been shown in preclinical models to reduce lung injury even at a constant arterial CO2 tension (; Vaporidi et al. 2008). Curley and colleagues (2013) go one step further, making the case for additional benefit from hypercapnia during low tidal volume ventilation. As we find no great fault with the balanced case put forward by our Canadian colleagues, our rebuttal focuses on challenges in designing more definitive trials. First, how might the independent effects of respiratory rate, and pH each be considered? Tris-hydroxymethyl amino-methane (THAM) buffer might be used to identify the effects of hypercapnia independent of acidaemia. To isolate the effects of respiratory rate from , inspired CO2 could be administered during high respiratory rate to induce hypercapnia to a degree comparable to a low-rate strategy. Optimizing respiratory rate must also consider airflow dynamics since high rates may lead to auto-positive end-expiratory pressure (auto-PEEP). Second, what is the minimum acceptable pH, and how should severe acidaemia be managed? A minimum pH approaching 7.15 was well tolerated haemodynamically in a heterogeneous ARDS population (Carvalho et al. 1997), while other studies specified a pH nadir between 7.05 (Brochard et al. 1998) and 7.30 (Brower et al. 2000) before encouraging intervention. THAM has shown promise as an effective buffer during fixed minute ventilation (Kallet et al. 2000), although further study is warranted before its widespread adoption as a rescue therapy. Finally, how do we ensure the protection of patients at highest risk of harm from hypercapnia? Patients with intracranial hypertension may fare poorly from hypercapnia-induced cerebral vasodilatation, as may patients with pre-existent right ventricular compromise facing hypercapnic pulmonary vasoconstriction (Curley et al. 2010). Similarly, anti-inflammatory effects of hypercapnia may be deleterious in pulmonary or extra-pulmonary sepsis compared to other ARDS precipitants. Moreover, increased sedation or paralysis, with associated risk of iatrogenic injury, may be required during hypercapnia to maintain patient–ventilator synchrony and minimize large swings in transpulmonary pressures from spontaneous breathing efforts (Malhotra & Drazen, 2013). Only with carefully designed studies will the role be defined for optimizing respiratory rate, and pH in individual patients with varying comorbidities and ARDS severity. The range of preclinical findings and heterogeneity of current clinical practice indicate a great need for further research in this area. Readers are invited to give their views on this and the accompanying CrossTalk articles in this issue by submitting a brief comment. Comments may be posted up to 6 weeks after publication of the article, at which point the discussion will close and authors will be invited to submit a ‘final word’. To submit a comment, go to http://jp.physoc.org/letters/submit/jphysiol;591/11/2773 Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. J. R. Beitler and R. D. Hubmayr have no conflicts of interest to declare. A. Malhotra previously received consulting and/or research income from Philips, SGS, SHC, Apnex, Apnicure and Pfizer, but has relinquished all outside personal income since May 2012.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,007 | 0,013 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,068 | 0,078 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».