Skip to main content

Advertisement

Log in

The relative value of postoperative versus preoperative Karnofsky Performance Scale scores as a predictor of survival after surgical resection of glioblastoma multiforme

  • Clinical Study
  • Published:
Journal of Neuro-Oncology Aims and scope Submit manuscript

Abstract

The Karnofsky Performance Scale (KPS) score is a widespread metric to stratify patient prognosis and determine appropriate management in glioblastoma multiforme(GBM). Low preoperative KPS values have been associated with shorter overall survival (OS). However, surgical resection can have a dramatic effect on a patient’s functional status which subsequently alters their KPS score. To determine the predictive value of preoperative verses postoperative KPS scores in terms of OS in patients with GBM. We conducted a retrospective review of 163 patients who underwent initial surgical intervention for pathologically proven GBM at our institution between 2003 and 2013. Pre and postoperative performance status, demographic, operative, and treatment variables were recorded for each patient. Multivariate regression analysis identified predictors of prolonged OS. The adequacy index was calculated to compare the predictive value of preoperative and postoperative KPS score. Median preoperative and postoperative KPS scores were 70 and 80, respectively. Overall, 92 (57 %) patients experienced an improvement in their KPS score, 40 (25 %) remained stable, and 29 (18 %) declined. Higher postoperative KPS (P = 0.0001), radiation therapy (P < 0.0001), younger age (P = 0.0443) and the absence of diabetes (P = 0.0006) were each independently associated with increased OS in a multivariate regression model. Postoperative KPS score has superior predictive value compared to pre-operative KPS score (A = 0.758 vs. 1.002). Postoperative KPS scores have superior predictive capabilities in terms of OS in GBM and should replace preoperative KPS scores when estimating prognosis in this population.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  1. Tait MJ, Petrik V, Loosemore A, Bell BA, Papadopoulos MC (2007) Survival of patients with glioblastoma multiforme has not improved between 1993 and 2004: analysis of 625 cases. Br J Neurosurg 21:496–500

    Article  CAS  PubMed  Google Scholar 

  2. Ostrom QT, Gittleman H, Farah P, Ondracek A, Chen Y, Wolinsky Y, Stroup NE, Kruchko C, Barnholtz-Sloan JS (2013) CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2006–2010. Neuro-Oncol 15:ii1–ii56

    PubMed Central  PubMed  Google Scholar 

  3. Buckner JC (2003) Factors influencing survival in high-grade gliomas. Semin Oncol 30:10–14

    Article  PubMed  Google Scholar 

  4. Burger PC, Green SB (1987) Patient age, histologic features, and length of survival in patients with glioblastoma multiforme. Cancer 59:1617–1625

    Article  CAS  PubMed  Google Scholar 

  5. Derr RL, Ye X, Islas MU, Desideri S, Saudek CD, Grossman SA (2009) Association between hyperglycemia and survival in patients with newly diagnosed glioblastoma. J Clin Oncol 27:1082–1086

    Article  PubMed Central  PubMed  Google Scholar 

  6. Helseth R, Helseth E, Johannesen TB, Langberg CW, Lote K, Rønning P, Scheie D, Vik A, Meling TR (2010) Overall survival, prognostic factors, and repeated surgery in a consecutive series of 516 patients with glioblastoma multiforme. Acta Neurol Scand 122:159–167

    Article  CAS  PubMed  Google Scholar 

  7. Lamborn KR, Chang SM, Prados MD (2004) Prognostic factors for survival of patients with glioblastoma: recursive partitioning analysis. Neuro-Oncol 6:227–235

    Article  PubMed Central  PubMed  Google Scholar 

  8. Laws ER, Parney IF, Huang W et al (2003) Survival following surgery and prognostic factors for recently diagnosed malignant glioma: data from the glioma outcomes project. J Neurosurg 99:467–473

    Article  PubMed  Google Scholar 

  9. Martinez R, Völter C, Behr R (2008) Parameters assessing neurological status in malignant glioma patients: prognostic value for survival and relapse-free time. Br J Neurosurg 22:557–562

    Article  CAS  PubMed  Google Scholar 

  10. McGirt MJ, Chaichana KL, Gathinji M, Attenello F, Than K, Ruiz AJ, Olivi A, Quinones-Hinojosa A (2008) Persistent outpatient hyperglycemia is independently associated with decreased survival after primary resection of malignant brain astrocytomas. Neurosurgery 63:286–291

    Article  PubMed  Google Scholar 

  11. McGirt MJ, Chaichana KL, Gathinji M, Attenello FJ, Than K, Olivi A, Weingart JD, Brem H, Quiñones-Hinojosa AR (2008) Independent association of extent of resection with survival in patients with malignant brain astrocytoma. J Neurosurg 110:156–162

    Article  Google Scholar 

  12. McGirt MJ, Mukherjee DMD, Chaichana KL, Than KD, Weingart JD, Quinones-Hinojosa A (2009) Association of surgically acquired motor and language deficits on overall survival after resection of glioblastoma multiforme. Neurosurgery 65:463–470

    Article  PubMed  Google Scholar 

  13. Perry A, Jenkins RB, O’Fallon JR et al (1999) Clinicopathologic study of 85 similarly treated patients with anaplastic astrocytic tumors. An analysis of DNA content (ploidy), cellular proliferation, and p53 expression. Cancer 86:672–683

    Article  CAS  PubMed  Google Scholar 

  14. Sawaya R, Hammoud M, Schoppa D, Hess KR, Wu SZ, Shi W-M, Wildrick DM (1998) Neurosurgical outcomes in a modern series of 400 craniotomies for treatment of parenchymal tumors. Neurosurgery 42:1044–1055

    Article  CAS  PubMed  Google Scholar 

  15. Tortosa A, Viñolas N, Villà S et al (2003) Prognostic implication of clinical, radiologic, and pathologic features in patients with anaplastic gliomas. Cancer 97:1063–1071

    Article  PubMed  Google Scholar 

  16. Stupp R, Mason WP, van den Bent MJ et al (2005) Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 352:987–996

    Article  CAS  PubMed  Google Scholar 

  17. Karnofsky DA, Burchenal JH (1949) The evaluation of chemotherapeutic agents in cancer. In: Macleod CM (ed) Evaluation chemotherapy agents. Columbia University Press, New York, pp 191–205

    Google Scholar 

  18. Chaichana K, Parker S, Olivi A, Quiñones-Hinojosa A (2009) A proposed classification system that projects outcomes based on preoperative variables for adult patients with glioblastoma multiforme. J Neurosurg 112:997–1004

    Article  Google Scholar 

  19. Chaichana KL, Martinez-Gutierrez JC, De la Garza-Ramos R, Weingart JD, Olivi A, Gallia GL, Lim M, Brem H, Quinones-Hinojosa A (2013) Factors associated with survival for patients with glioblastoma with poor pre-operative functional status. J Clin Neurosci 20:818–823

    Article  PubMed Central  PubMed  Google Scholar 

  20. Marina O, Suh JH, Reddy CA, Barnett GH, Vogelbaum MA, Peereboom DM, Stevens GHJ, Elinzano H, Chao ST (2011) Treatment outcomes for patients with glioblastoma multiforme and a low Karnofsky Performance Scale score on presentation to a tertiary care institution. J Neurosurg 115:220–229

    Article  PubMed  Google Scholar 

  21. Chaichana KL, Parker SL, Olivi A, Quiñones-Hinojosa A (2009) Long-term seizure outcomes in adult patients undergoing primary resection of malignant brain astrocytomas. J Neurosurg 111:282–292

    Article  PubMed  Google Scholar 

  22. Jakola AS, Gulati S, Weber C, Unsgård G, Solheim O (2011) Postoperative deterioration in health related quality of life as predictor for survival in patients with glioblastoma: a prospective study. PLOS ONE 6:e28592

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  23. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG (2009) Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 42:377–381

    Article  PubMed Central  PubMed  Google Scholar 

  24. Core Team R (2013) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna

    Google Scholar 

  25. Stark AM, Stepper W, Mehdorn HM (2010) Outcome evaluation in glioblastoma patients using different ranking scores: KPS, GOS, mRS and MRC. Eur J Cancer Care (Engl) 19:39–44

    Article  CAS  Google Scholar 

  26. Jakola AS, Unsgård G, Solheim O (2011) Quality of life in patients with intracranial gliomas: the impact of modern image-guided surgery. J Neurosurg 114:1622–1630

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

Li Wang, MS provided statistical analysis and support made possible by a grant from Vanderbilt’s Institute for Clinical and Translational Research (VICTR).

Conflict of interest

The authors have no conflicts of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Heather M. Kistka.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chambless, L.B., Kistka, H.M., Parker, S.L. et al. The relative value of postoperative versus preoperative Karnofsky Performance Scale scores as a predictor of survival after surgical resection of glioblastoma multiforme. J Neurooncol 121, 359–364 (2015). https://doi.org/10.1007/s11060-014-1640-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11060-014-1640-x

Keywords

Navigation