A novel scoring system proposal to guide surgical treatment indications for high grade gliomas in elderly patients: DAK-75.


Journal

Neurosurgical review
ISSN: 1437-2320
Titre abrégé: Neurosurg Rev
Pays: Germany
ID NLM: 7908181

Informations de publication

Date de publication:
25 Oct 2024
Historique:
received: 04 08 2024
accepted: 13 10 2024
revised: 07 10 2024
medline: 25 10 2024
pubmed: 25 10 2024
entrez: 25 10 2024
Statut: epublish

Résumé

High-grade gliomas are the most prevalent neurooncological desease in adults, their incidence increases with age, peaking in the seventh decade. This paper aims to address how to select patients for surgical resection by identifying pre-surgical predictors of 12-month mortality in newly diagnosed HGG patients aged ≥ 75 years. A prognostic score will be proposed to guide surgical decisions based on expected survival. Retrospective observational single-center cohort study was carried out at the "Città della Salute e della Scienza-Molinette" University Hospital in Turin, Italy. All consecutive patients aged ≥ 75 years newly diagnosed with HGG were included, regardless of whether they underwent surgical resection. Clinical, radiological, histological and molecular data were collected.Variables potentially available at the time of diagnosis were considered to develop a multivariable logistic regression predictive model, with 12-months overall survival as the dependent variable. 102 patients aged 75 years or older received a new diagnosis of high-grade glioma, of whom 68 underwent surgical resection. Patients undergoing surgery were slightly younger (76.9 vs 79.0 years, p = 0.007) and had better performance status (median KPS 80 vs 70). Most tumors undergoing surgery were localized in cortical or subcortical non-motor areas (p < 0.001) and less frequently deep-seated (p = 0.023) or multifocal (p < 0.001). A predictive model, the DAK-75 score, was developed: the AUROC of the final model was 0.822 (95% CI 0.741-0.902). The score includes clinical presentation, tumor location, and KPS, ranging from 0 to 20, categorizing risk scores into low-risk and high-risk groups (< or > 8). Higher scores corresponded to fewer surgical patients and higher one-year mortality rates (92.2% vs 47.1%, p < 0.001). DAK-75 score may represent a valuable tool in the decision-making process for neurosurgical intervention in elderly patients diagnosed with HGG. Further studies are needed to externally and prospectively validate the scoring system.

Identifiants

pubmed: 39453521
doi: 10.1007/s10143-024-03052-1
pii: 10.1007/s10143-024-03052-1
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

823

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Andrea Bianconi (A)

Neurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy. andrea.bianconi@edu.unito.it.

Roberto Presta (R)

Section of Geriatrics, "Città Della Salute E Della Scienza" University Hospital, Department of Medical Sciences, University of Turin, Turin, Italy.

Pietro La Cava (P)

Neurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.

Raffaele De Marco (R)

Neurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.

Pietro Zeppa (P)

Neurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.

Paola Lacroce (P)

Neurosurgery Unit, University of Messina, Messina, Italy.

Margherita Castaldo (M)

Neurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.

Francesco Bruno (F)

Division of Neuro-Oncology, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, 10124, Turin, Italy.

Alessia Pellerino (A)

Division of Neuro-Oncology, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, 10124, Turin, Italy.

Roberta Rudà (R)

Division of Neuro-Oncology, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, 10124, Turin, Italy.

Antonio Melcarne (A)

Neurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.

Diego Garbossa (D)

Neurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.

Mario Bo (M)

Section of Geriatrics, "Città Della Salute E Della Scienza" University Hospital, Department of Medical Sciences, University of Turin, Turin, Italy.

Fabio Cofano (F)

Neurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.

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