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Association of baseline frailty status and age with postoperative morbidity and mortality following intracranial meningioma resection.
Dicpinigaitis, Alis J; Kazim, Syed Faraz; Schmidt, Meic H; Couldwell, William T; Theriault, Brianna Carusillo; Gandhi, Chirag D; Hanft, Simon; Al-Mufti, Fawaz; Bowers, Christian A.
Afiliação
  • Dicpinigaitis AJ; School of Medicine, New York Medical College, Valhalla, NY, 10595, USA.
  • Kazim SF; Department of Neurosurgery, University of New Mexico, Albuquerque, NM, 87106, USA.
  • Schmidt MH; Department of Neurosurgery, University of New Mexico, Albuquerque, NM, 87106, USA.
  • Couldwell WT; Department of Neurosurgery, University of Utah, Salt Lake City, UT, 84132, USA.
  • Theriault BC; Department of Neurosurgery, Yale University School of Medicine/Yale New Haven Hospital, New Haven, CT, 06510, USA.
  • Gandhi CD; Department of Neurosurgery, Westchester Medical Center/New York Medical College, Valhalla, NY, 10595, USA.
  • Hanft S; Department of Neurosurgery, Westchester Medical Center/New York Medical College, Valhalla, NY, 10595, USA.
  • Al-Mufti F; Department of Neurosurgery, Westchester Medical Center/New York Medical College, Valhalla, NY, 10595, USA.
  • Bowers CA; Department of Neurosurgery, University of New Mexico, Albuquerque, NM, 87106, USA. CABowers@salud.unm.edu.
J Neurooncol ; 155(1): 45-52, 2021 Oct.
Article em En | MEDLINE | ID: mdl-34495456
ABSTRACT

PURPOSE:

Although numerous studies have established advanced patient age as a risk factor for poor outcomes following intracranial meningioma resection, large-scale evaluation of frailty for preoperative risk assessment has yet to be examined.

METHODS:

Weighted discharge data from the National Inpatient Sample were queried for adult patients undergoing benign intracranial meningioma resection from 2015 to 2018. Complex samples multivariable logistic regression models and receiver operating characteristic curve analysis were performed to evaluate adjusted associations and discrimination of frailty, quantified using the 11-factor modified frailty index (mFI), for clinical endpoints.

RESULTS:

Among 20,250 patients identified (mean age 60.6 years), 35.4% (n = 7170) were robust (mFI = 0), 34.5% (n = 6985) pre-frail (mFI = 1), 20.1% (n = 4075) frail (mFI = 2), and 10.0% (n = 2020) severely frail (mFI ≥ 3). On univariable analysis, these sub-cohorts stratified by increasing frailty were significantly associated with the development of Clavien-Dindo grade IV (life-threatening) complications (inclusive of those resulting in mortality) (1.3% vs. 3.1% vs. 6.5% vs. 9.4%, p < 0.001) and extended length of stay (eLOS) (15.4% vs. 22.5% vs. 29.3% vs. 37.4%, p < 0.001). Following multivariable analysis, increasing frailty (aOR 1.40, 95% CI 1.17, 1.68, p < 0.001) and age (aOR 1.20, 95% CI 1.05, 1.38, p = 0.009) were both independently associated with development of life-threatening complications or mortality, whereas increasing frailty (aOR 1.20, 95% CI 1.10, 1.32, p < 0.001), but not age, was associated with eLOS. Frailty (by mFI-11) achieved superior discrimination in comparison to age for both endpoints (AUC 0.69 and 0.61, respectively).

CONCLUSION:

Frailty may be more accurate than advanced patient age alone for prognostication of adverse events and outcomes following intracranial meningioma resection.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fragilidade / Neoplasias Meníngeas / Meningioma Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Middle aged Idioma: En Revista: J Neurooncol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fragilidade / Neoplasias Meníngeas / Meningioma Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Middle aged Idioma: En Revista: J Neurooncol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos