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Enregistrement W3203802236 · doi:10.1016/j.xjon.2021.09.041

Commentary: The choice of arterial pressure monitoring in adult cardiac surgery should be individualized. The devil is in the details

2021· editorial· en· W3203802236 sur OpenAlexaboutno aff
Juan N. Pulido

Notice bibliographique

RevueJTCVS Open · 2021
Typeeditorial
Langueen
DomaineMedicine
ThématiqueHemodynamic Monitoring and Therapy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineRadial arteryArterial lineBlood pressureCardiologyCardiac surgeryFemoral arteryArteryInternal medicineSurgery

Résumé

récupéré en direct d'OpenAlex

Central MessageHigh radial to femoral arterial pressure gradient is common and has clinical implications of overtreatment. The site of arterial monitoring in cardiac surgery should be individualized.See Article page 446. High radial to femoral arterial pressure gradient is common and has clinical implications of overtreatment. The site of arterial monitoring in cardiac surgery should be individualized. See Article page 446. Intra-arterial or invasive blood pressure monitoring is the standard of care in cardiothoracic surgery and is common in the intensive care unit. Usually, a radial artery is chosen in adults. This artery is frequently used due to ease of access, safety profile, and dual circulation of the hand. Nonetheless, it is also common to experience inaccuracies, specifically under-reading, leading to overtreatment of false hypotension. Possible factors leading to a radial-to-central arterial pressure gradient include length of bypass, crossclamp time, hypothermia, vasopressor use, and small patient size.1Fuda G. Denault A. Deschamps A. Bouchard D. Fortier A. Lambert J. et al.Risk Factors involved in central-to-radial arterial pressure gradient during cardiac surgery.Anesth Analg. 2016; 122: 624-632Crossref PubMed Scopus (27) Google Scholar This phenomenon is common in clinical practice and has been described in many reports. Some approaches to quantify radial pressure under-reading include insertion of a needle in the aorta while the chest is open, placement of a femoral arterial line for comparative transduction of pressures, or using the measurement of mitral valve regurgitation velocity to estimate systolic arterial pressure. This usually unmasks a pressure difference or pressure gradient that can be significant enough to completely disregard the radial arterial pressure readings until the gradient dissipates, usually with time. The prevalence and significance of this arterial pressure gradient in adult patients undergoing cardiac surgery was explored by Bouchard-Dechêne and colleagues2Bouchard-Dechêne V. Kontar L. Couture P. Pérusse P. Levesque S. Lamarche Y. et al.Montreal Heart Institute Research TeamRadial-to-femoral pressure gradient quantification in cardiac surgery.J Thorac Cardiovasc Surg Open. 2021; 8: 446-460Google Scholar in this issue of the Journal. The authors examined the reliability of radial artery monitoring during cardiac surgery in a prospective study of 129 patients; measured the duration of a significant gradient as well as the impact of simultaneous radial and femoral artery monitoring; and analyzed them in 2 groups: radial artery monitoring (37 patients) versus simultaneous radial artery and femoral artery monitoring (92 patients). They defined the radial-to-femoral artery pressure gradient (RFPG) as significant if >25 mm Hg in systolic and >10 in mean arterial pressure for at least 5 minutes and correlated this incidence with radial artery diameter measured with ultrasound the day before surgery. The clinical team was blinded to the measurements. The authors found an overall incidence of significant RFPG of 34.8% with an average duration of 54 ± 48 minutes. This incidence correlated to previous reports on radial to central arterial pressure gradient in cardiac surgery. Interestingly, but not surprising, the incidence was greater when the radial artery diameter was smaller. Almost one half (48%) of the patients with radial artery diameter of <1.8 mm on ultrasound evaluation had significant RFPG. Not only was the frequency of significant RFPG greater, but these patients required more vasoactive support in the operating room and intensive care unit despite less-complex procedures and shorter bypass runs. Despite the limitations of this study, it provides important insight on this phenomenon that prompts caution when caring for cardiac surgical patients, specifically if the hypotension seems out of proportion to other variables that monitor tissue perfusion and when using arterial pressure–derived algorithms to manage hemodynamics, such as pulse contour analysis and continuous cardiac output monitors. It is important to emphasize that brachial arterial lines were not analyzed and that there were no complications in the femoral arterial line group. Moreover, all patients with femoral arterial lines were mobilized and extubated without distinction to the radial artery group. The study, albeit observational, small, and single-center, highlights important information that has practical and clinical implications. Although it seems excessive to stop using radial arterial lines all together, we need to be aware of this phenomenon and consider the risk factors for significant RFPG when we formulate a hemodynamic monitoring plan for our patients. The choice for invasive arterial pressure monitoring should therefore be individualized to patient and procedure, and body mass index, radial artery diameter, and possible long bypass run should weigh in the decision. Radial-to-femoral pressure gradient quantification in cardiac surgeryJTCVS OpenVol. 8PreviewA radial-to-femoral pressure gradient (RFPG) can occur in roughly one-third of cardiac surgical patients. Such a gradient has been associated with smaller stature and potentially smaller radial artery diameter. We hypothesized that preoperative radial artery diameter could be a predictor of RFPG. We also investigated the clinical impact of using a femoral versus a radial arterial catheter in terms of vasoactive support. Full-Text PDF Open Access

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,089
Score d'incertitude au seuil0,993

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0020,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,057
Tête enseignante GPT0,366
Écart entre enseignants0,309 · 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 tête enseignante, 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

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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