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Enregistrement W4414659138 · doi:10.1227/neu.0000000000003794

In Reply: Blood Pressure Targets After Aneurysmal Subarachnoid Hemorrhage: Is Lower Better?

2025· article· en· W4414659138 sur OpenAlexaff
Catherine Veilleux, Matthew E. Eagles, Jay Riva-Cambrin, R. Loch Macdonald

Notice bibliographique

RevueNeurosurgery · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueIntracranial Aneurysms: Treatment and Complications
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésSubarachnoid hemorrhageAneurysmBlood pressureIschemiaInfarctionSpurious relationship

Résumé

récupéré en direct d'OpenAlex

To the Editor: We thank Hawkes et al for their thoughtful appraisal of our article entitled “Blood Pressure Targets After Aneurysmal Subarachnoid Hemorrhage: Is Lower Better?”1,2 Their commentary highlights key physiological considerations and methodological limitations that may influence the applicability of our results in clinical practice. We are pleased our article has prompted discussion and hope it will stimulate efforts to generate high-level evidence on optimal blood pressure (BP) targets in patients with aneurysmal subarachnoid hemorrhage (SAH). The first point raised concerns the exclusion of patients with rebleeding in our data set. Although it is true that these patients are the ones postulated to benefit most from systolic blood pressure (sBP) reduction, this omission strengthens the results. If there are no patients who rebleed, then this variable is removed as a source of poor outcome. Therefore, it will be easier to detect the effects of sBP on outcome. Our work found that, despite excluding the patients who are hypothesized to benefit most from sBP reduction, lower sBP before the aneurysm treatment was associated with improved outcomes. The omitted variable bias works in favor of our findings. We agree that single measurements of sBP are imperfect and that fluctuations and spurious readings are common. However, the data from the Clazosentan to Overcome Neurological Ischemia and Infarction Occurring After Subarachnoid Hemorrhage (CONSCIOUS-1) study was collected from mostly “high-volume” centers experienced in recording data on case report forms. Having collaborated with the study authors (R.L.M.) on several other SAH clinical trials, we are confident that the authors of this critical appraisal can attest to the robustness of the data collection process in these large studies. It is worth noting that the concept of “spurious” readings could, in principle, be applied to question almost any variable in any data set. Second, the authors raise the possibility that elevated sBP in the setting of aSAH may be a compensatory response secondary to raised intracranial pressure to maintain cerebral perfusion pressure (CPP). This is an important consideration and is one of the many limitations of our post hoc analysis. There are a lot of variables in the CONSCIOUS-1 data set, but it would be challenging to figure out why the BP was at a given level at a certain time. As noted earlier, the investigators in CONSCIOUS-1 were drawn from high-volume centers with extensive experience in managing these patients and in maintaining adequate CPP. It therefore seems unlikely that they would intentionally lower sBP to a level that could compromise perfusion. One could take the opposite view and stipulate that because these patients were treated by experienced teams, the occurrence of a known low CPP would be less likely, potentially making it easier to detect a threshold sBP in our post hoc analysis. This reasoning would also apply to the sentence at the end of the second-to-last paragraph regarding differences in lower sBP between previously normotensive and hypertensive patients. Third, we agree that excluding patients who are vulnerable to hypoperfusion such as patients with poor World Federation of Neurological Surgeons (WFNS) grades, chronic kidney disease and persistently low BP may artificially minimize the harms of low BP. As with excluding patients who rebleed, excluding these patients limits the generalizability of the results but could be argued to decrease the number of variables that could affect detection of a threshold sBP. Finally, and importantly, BP management was not standardized in CONSCIOUS-1. We believe that the lack of standardized management for patients with SAH remains one of the fundamental challenges in the field. Previous studies have achieved very little standardization in the perioperative care of these patients,3-7 which has made it difficult to design study protocols for SAH that go beyond aneurysm repair. As a result, there are relatively few well-controlled randomized clinical trials in this area, and there have been almost no evidence-based advances in SAH management between the last two American Heart Association SAH guidelines.8,9 SAH may be the only major stroke subtype that does not have any large, multicenter, randomized clinical trials addressing BP targets. We agree that aggressive BP reduction could have varying effects depending on baseline BP, although this remains speculative. Regarding the suggestion that BP variability is associated with poor outcome, we find the previously published data to be interesting and warranting further investigation. However, the current data are limited in its ability to confirm this association, particularly considering the many other variables influencing outcome, as discussed above. This paper was an exploratory analysis of prospectively collected data and was not an interventional study. The genesis of our study was not to prove that lower blood pressure leads to better outcomes after SAH but to interrogate the concern that lower sBP, within reason, before aneurysm treatment, leads to secondary brain injuries from hypoperfusion. Therefore, we, too, were somewhat surprised by our findings. Hence, we can reassure the readership that our results and conclusions were, indeed, data driven. Although it is common for papers of this nature to conclude with a call for additional data and randomized clinical trials, we hope that our results will lead to such future efforts.

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)0,009
score de la tête « metaresearch » (Gemma)0,080
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: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,050

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,080
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0020,002
Études des sciences et des technologies0,0030,004
Communication savante0,0040,006
Science ouverte0,0040,002
Intégrité de la recherche0,0310,044
Charge utile insuffisante (le modèle a refusé de juger)0,0060,005

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 Opus0,008
Tête enseignante GPT0,237
Écart entre enseignants0,229 · 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
GenreCommentaire

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
Publié2025
Routes d'admission1
Résumé présentoui

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