Reduced temporal muscle thickness predicts shorter survival in patients undergoing chronic subdural haematoma drainage.

Body composition Chronic subdural haematoma Computed tomography Frailty Sarcopenia

Journal

Journal of cachexia, sarcopenia and muscle
ISSN: 2190-6009
Titre abrégé: J Cachexia Sarcopenia Muscle
Pays: Germany
ID NLM: 101552883

Informations de publication

Date de publication:
08 May 2024
Historique:
revised: 15 03 2024
received: 02 10 2023
accepted: 26 03 2024
medline: 9 5 2024
pubmed: 9 5 2024
entrez: 9 5 2024
Statut: aheadofprint

Résumé

Chronic subdural haematoma (CSDH) drainage is a common neurosurgical procedure. CSDHs cause excess mortality, which is exacerbated by frailty. Sarcopenia contributes to frailty - its key component, low muscle mass, can be assessed using cross-sectional imaging. We aimed to examine the prognostic role of temporal muscle thickness (TMT) measured from preoperative computed tomography head scans among patients undergoing surgical CSDH drainage. We retrospectively identified all patients who underwent CSDH drainage within 1 year of February 2019. We measured their mean TMT from preoperative computed tomography scans, tested the reliability of these measurements, and evaluated their prognostic value for postoperative survival. One hundred and eighty-eight (122, 65% males) patients (median age 78 years, IQR 70-85 years) were included. Thirty-four (18%) patients died within 2 years, and 51 (27%) died at a median follow-up of 39 months (IQR 34-42 months). Intra- and inter-observer reliability of TMT measurements was good-to-excellent (ICC 0.85-0.97, P < 0.05). TMT decreased with age (Pearson's r = -0.38, P < 0.001). Females had lower TMT than males (P < 0.001). The optimal TMT cut-off values for predicting two-year survival were 4.475 mm for males and 3.125 mm for females. TMT below these cut-offs was associated with shorter survival in both univariate (HR 3.24, 95% CI 1.85-5.67) and multivariate (HR 1.86, 95% CI 1.02-3.36) analyses adjusted for age, ASA grade and bleed size. The effect of TMT on mortality was not mediated by age. In patients with CSDH, TMT measurements from preoperative imaging were reliable and contained prognostic information supplemental to previously known predictors of poor outcomes.

Sections du résumé

BACKGROUND BACKGROUND
Chronic subdural haematoma (CSDH) drainage is a common neurosurgical procedure. CSDHs cause excess mortality, which is exacerbated by frailty. Sarcopenia contributes to frailty - its key component, low muscle mass, can be assessed using cross-sectional imaging. We aimed to examine the prognostic role of temporal muscle thickness (TMT) measured from preoperative computed tomography head scans among patients undergoing surgical CSDH drainage.
METHODS METHODS
We retrospectively identified all patients who underwent CSDH drainage within 1 year of February 2019. We measured their mean TMT from preoperative computed tomography scans, tested the reliability of these measurements, and evaluated their prognostic value for postoperative survival.
RESULTS RESULTS
One hundred and eighty-eight (122, 65% males) patients (median age 78 years, IQR 70-85 years) were included. Thirty-four (18%) patients died within 2 years, and 51 (27%) died at a median follow-up of 39 months (IQR 34-42 months). Intra- and inter-observer reliability of TMT measurements was good-to-excellent (ICC 0.85-0.97, P < 0.05). TMT decreased with age (Pearson's r = -0.38, P < 0.001). Females had lower TMT than males (P < 0.001). The optimal TMT cut-off values for predicting two-year survival were 4.475 mm for males and 3.125 mm for females. TMT below these cut-offs was associated with shorter survival in both univariate (HR 3.24, 95% CI 1.85-5.67) and multivariate (HR 1.86, 95% CI 1.02-3.36) analyses adjusted for age, ASA grade and bleed size. The effect of TMT on mortality was not mediated by age.
CONCLUSIONS CONCLUSIONS
In patients with CSDH, TMT measurements from preoperative imaging were reliable and contained prognostic information supplemental to previously known predictors of poor outcomes.

Identifiants

pubmed: 38720242
doi: 10.1002/jcsm.13489
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 The Authors. Journal of Cachexia, Sarcopenia and Muscle published by Wiley Periodicals LLC.

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Auteurs

Tommi K Korhonen (TK)

Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.
Department of Neurosurgery, Neurocenter OYS, Oulu University Hospital, Oulu, Finland.
Department of Neurosurgery, Research Unit of Clinical Neurosciences, University of Oulu, Oulu, Finland.

Otso Arponen (O)

Department of Radiology, University of Cambridge, Cambridge, UK.
Faculty of Medicine and Health Sciences, Tampere University, Tampere, Finland.
Department of Radiology, Tampere University Hospital, Tampere, Finland.

Moritz Steinruecke (M)

Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.

Ilaria Pecorella (I)

Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.

Harry Mee (H)

Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.

Stefan Yordanov (S)

Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.

Edoardo Viaroli (E)

Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.

Mathew R Guilfoyle (MR)

Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.

Angelos Kolias (A)

Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.

Ivan Timofeev (I)

Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.

Peter Hutchinson (P)

Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.

Adel Helmy (A)

Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.

Classifications MeSH