Parameters assessing neurological status in malignant glioma patients: prognostic value for survival and relapse-free time

Br J Neurosurg. 2008 Aug;22(4):557-62. doi: 10.1080/02688690802166424.

Abstract

Malignant gliomas are the commonest primary brain tumours in adults and harbour a dismal prognosis. So far, established parameters with predictive significance for prognosis do not include the neurological functional assessment of patients. The aim of this study was to investigate the prognostic value of parameters assessing neurological status in malignant glioma patients for outcome and survival. Evaluation of neurological status included the Sawaya Functional Grade (SFG) and the Neurological Performance Scale (NPS). Moreover, the Karnofsky Performance Status (KPS), medical risk factors, extension of resection, postoperative complications, and the predictive value of these variables for outcome and survival were studied. For this purpose, we have analysed 110 consecutive patients with malignant gliomas who were treated at our institution. As expected, age (p <0.001), KPS (p = 0.003) and extent of resection (p <0.001) were good predictors of survival. Strikingly, SFG and NPS showed the highest significant correlation with survival (both p <0.0001) and, furthermore, they were the only predictors of the relapse-free time (p = 0.035 and p = 0.004, respectively). Our data strongly suggests that SFG and NPS accurately predict both survival and relapse-free time, which may add a valuable tool for tailoring individual therapy strategies.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Biopsy / methods
  • Brain Neoplasms / mortality*
  • Brain Neoplasms / radiotherapy
  • Brain Neoplasms / surgery
  • Combined Modality Therapy
  • Female
  • Glioma / mortality*
  • Glioma / radiotherapy
  • Glioma / surgery
  • Humans
  • Karnofsky Performance Status
  • Male
  • Middle Aged
  • Nervous System Diseases / diagnosis*
  • Nervous System Diseases / therapy
  • Neurologic Examination / methods
  • Prognosis
  • Risk Factors
  • Secondary Prevention
  • Survival Analysis