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Predicting Postoperative Outcomes in Brain Tumor Patients With a 5-Factor Modified Frailty Index.
Huq, Sakibul; Khalafallah, Adham M; Jimenez, Adrian E; Gami, Abhishek; Lam, Shravika; Ruiz-Cardozo, Miguel A; Oliveira, Leonardo A P; Mukherjee, Debraj.
Afiliación
  • Huq S; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Khalafallah AM; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Jimenez AE; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Gami A; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Lam S; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Ruiz-Cardozo MA; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Oliveira LAP; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Mukherjee D; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Neurosurgery ; 88(1): 147-154, 2020 12 15.
Article en En | MEDLINE | ID: mdl-32803222
BACKGROUND: Frailty indices may represent useful decision support tools to optimize modifiable drivers of quality and cost in neurosurgical care. However, classic indices are cumbersome to calculate and frequently require unavailable data. Recently, a more lean 5-factor modified frailty index (mFI-5) was introduced, but it has not yet been rigorously applied to brain tumor patients. OBJECTIVE: To investigate the predictive value of the mFI-5 on length of stay (LOS), complications, and charges in surgical brain tumor patients. METHODS: We retrospectively reviewed data for brain tumor patients who underwent primary surgery from 2017 to 2018. Bivariate (ANOVA) and multivariate (logistic and linear regression) analyses assessed the predictive power of the mFI-5 on postoperative outcomes. RESULTS: Our cohort included 1692 patients with a mean age of 55.5 yr and mFI-5 of 0.80. Mean intensive care unit (ICU) and total LOS were 1.69 and 5.24 d, respectively. Mean pulmonary embolism (PE)/deep vein thrombosis (DVT), physiological/metabolic derangement, respiratory failure, and sepsis rates were 7.2%, 1.1%, 1.6%, and 1.7%, respectively. Mean total charges were $42 331. On multivariate analysis, each additional point on the mFI-5 was associated with a 0.32- and 1.38-d increase in ICU and total LOS, respectively; increased odds of PE/DVT (odds ratio (OR): 1.50), physiological/metabolic derangement (OR: 3.66), respiratory failure (OR: 1.55), and sepsis (OR: 2.12); and an increase in total charges of $5846. CONCLUSION: The mFI-5 is a pragmatic and actionable tool which predicts LOS, complications, and charges in brain tumor patients. It may guide future efforts to risk-stratify patients with subsequent impact on postoperative outcomes.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Complicaciones Posoperatorias / Neoplasias Encefálicas / Fragilidad Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Neurosurgery Año: 2020 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Complicaciones Posoperatorias / Neoplasias Encefálicas / Fragilidad Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Neurosurgery Año: 2020 Tipo del documento: Article