Factors Associated with Unfavorable Clinical Presentations in Patients with Ruptured BrainArteriovenous Malformations.

Aneurysm Arteriovenous malformation Cerebrovascular Critical care Prognosis Prognostication Smoking Tobacco

Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 11 02 2023
revised: 28 06 2023
accepted: 29 06 2023
pubmed: 9 7 2023
medline: 9 7 2023
entrez: 8 7 2023
Statut: ppublish

Résumé

Rupture of brain arteriovenous malformations (bAVMs) carries potentially devastating consequences. For patients presenting with ruptured bAVMs, several clinical grading systems have been shown to predict long-term patient morbidity and may be taken into consideration when making clinical decisions. Unfortunately, use of these scoring systems is typically limited to their prognostic value and offer little to patients in therapeutic benefit. Tools are needed not only to predict prognosis for patients experiencing ruptured bAVMs but to gain insight into what characteristics predispose patients to poor long-term outcomes before they rupture. Our objective was to find clinical, morphologic, and demographic variables that correlate with unfavorable clinical grades on presentation in patients with ruptured bAVMs. We retrospectively reviewed a cohort of patients with ruptured bAVMs. Linear regression models were used to test whether Glasgow Coma Scale (GCS) and Hunt-Hess scores on presentation(outcomes) were associated with patient and arteriovenous malformation (AVM) characteristics (predictors) individually. GCS and Hunt-Hess were assessed following bAVM rupture for 121 brain cases. The median age at rupture was 28.5 years, and 62 (51%) were female. Smoking history was associated with worse GCS; current and past smokers had GCS scores 1.33 points lower on average than nonsmokers (95% confidence interval [CI] -2.59 to -0.07, P = 0.039) and had worse Hunt-Hess scores (0.42, 95% CI 0.07-0.77, P = 0.019). Associated aneurysms were associated with worse GCS (-1.60, 95% CI -3.16 to -0.05, P = 0.043) and trended towards worse Hunt-Hess scores (0.42 points, 95% CI -0.01 to 0.86, P = 0.057). Patient smoking status and presence of an AVM associated aneurysm were shown to have modest correlations with unfavorable clinical grades (Hunt-Hess, GCS) on presentation, with unfavorable clinical grades being associated with long-term patient prognosis following bAVM rupture. Further investigation using AVM-specific grading scales and external data are needed to determine the utility of these and other variables in clinical practice for patients with bAVM.

Sections du résumé

BACKGROUND BACKGROUND
Rupture of brain arteriovenous malformations (bAVMs) carries potentially devastating consequences. For patients presenting with ruptured bAVMs, several clinical grading systems have been shown to predict long-term patient morbidity and may be taken into consideration when making clinical decisions. Unfortunately, use of these scoring systems is typically limited to their prognostic value and offer little to patients in therapeutic benefit. Tools are needed not only to predict prognosis for patients experiencing ruptured bAVMs but to gain insight into what characteristics predispose patients to poor long-term outcomes before they rupture. Our objective was to find clinical, morphologic, and demographic variables that correlate with unfavorable clinical grades on presentation in patients with ruptured bAVMs.
METHODS METHODS
We retrospectively reviewed a cohort of patients with ruptured bAVMs. Linear regression models were used to test whether Glasgow Coma Scale (GCS) and Hunt-Hess scores on presentation(outcomes) were associated with patient and arteriovenous malformation (AVM) characteristics (predictors) individually.
RESULTS RESULTS
GCS and Hunt-Hess were assessed following bAVM rupture for 121 brain cases. The median age at rupture was 28.5 years, and 62 (51%) were female. Smoking history was associated with worse GCS; current and past smokers had GCS scores 1.33 points lower on average than nonsmokers (95% confidence interval [CI] -2.59 to -0.07, P = 0.039) and had worse Hunt-Hess scores (0.42, 95% CI 0.07-0.77, P = 0.019). Associated aneurysms were associated with worse GCS (-1.60, 95% CI -3.16 to -0.05, P = 0.043) and trended towards worse Hunt-Hess scores (0.42 points, 95% CI -0.01 to 0.86, P = 0.057).
CONCLUSIONS CONCLUSIONS
Patient smoking status and presence of an AVM associated aneurysm were shown to have modest correlations with unfavorable clinical grades (Hunt-Hess, GCS) on presentation, with unfavorable clinical grades being associated with long-term patient prognosis following bAVM rupture. Further investigation using AVM-specific grading scales and external data are needed to determine the utility of these and other variables in clinical practice for patients with bAVM.

Identifiants

pubmed: 37422187
pii: S1878-8750(23)00917-8
doi: 10.1016/j.wneu.2023.06.135
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e72-e78

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Auteurs

Joseph H Garcia (JH)

Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.

Luis Carrete (L)

Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.

W Caleb Rutledge (WC)

Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.

Kunal P Raygor (KP)

Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.

Ethan A Winkler (EA)

Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.

Matheus Prado Pereira (MP)

Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.

Jeffrey Nelson (J)

Center for Cerebrovascular Research, Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, California, USA.

Helen Kim (H)

Center for Cerebrovascular Research, Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, California, USA.

Daniel L Cooke (DL)

Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.

Steven W Hetts (SW)

Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.

Michael T Lawton (MT)

Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA; Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona, USA.

Adib A Abla (AA)

Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA. Electronic address: garciaj9@upmc.edu.

Classifications MeSH