Skip to main content

Advertisement

Log in

Definition of Unfit for Standard Acute Myeloid Leukemia Therapy

  • Acute Myeloid Leukemias (H Erba, Section Editor)
  • Published:
Current Hematologic Malignancy Reports Aims and scope Submit manuscript

Abstract

Determining who is fit or unfit for standard treatments among older adults with acute myeloid leukemia (AML) remains a challenge. However, available evidence can provide guidance on strategies to assess and categorize fitness. Evidence is strongest to guide identification of “frail” older adults at the time of diagnosis based on performance status, physical function, and comorbidity. Many older adults, with adequate performance status and comorbidity burden, however, may be better characterized as “vulnerable”. These patients have subclinical impairments that limit resilience when stressed with intensive therapies. More sensitive assessment strategies are needed to differentiate fit and vulnerable older adults regardless of chronologic age. Research is ongoing to identify tools and approaches, such as geriatric assessment, that can enhance characterization of fitness for AML therapies. This review will highlight available evidence for assessment of fitness among older adults with AML and discuss implications for practice and research.

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.

Fig. 1

Similar content being viewed by others

References

  1. SEER Cancer Statistics Review 1975–2009. http://seer.cancer.gov/publications/. 2012.

  2. Appelbaum FR, Gundacker H, Head DR, et al. Age and acute myeloid leukemia. Blood. 2006;107(9):3481–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Kantarjian H, Ravandi F, O’brien S, et al. Intensive chemotherapy does not benefit most older patients (age 70 years or older) with acute myeloid leukemia. Blood. 2010;116:4422–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Oran B, Weisdorf DJ. Survival for older patients with acute myeloid leukemia: a population-based study. Haematologica. 2012;97(12):1916–24.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Kantarjian H, O’brien S, Cortes J, et al. Results of intensive chemotherapy in 998 patients age 65 years or older with acute myeloid leukemia or high-risk myelodysplastic syndrome: predictive prognostic models for outcome. Cancer. 2006;106(5):1090–8.

    Article  PubMed  Google Scholar 

  6. Juliusson G. Most 70- to 79-year-old patients with acute myeloid leukemia do benefit from intensive treatment. Blood. 2011;117(12):3473–4.

    Article  CAS  PubMed  Google Scholar 

  7. Lowenberg B, Zittoun R, Kerkhofs H, et al. On the value of intensive remission-induction chemotherapy in elderly patients of 65+ years with acute myeloid leukemia: a randomized phase III study of the European Organization for Research and Treatment of Cancer Leukemia Group. J Clin Oncol. 1989;7(9):1268–74.

    CAS  PubMed  Google Scholar 

  8. Wetzler M, Mrozek K, Kohlschmidt J, et al. Intensive induction is effective in selected octogenarian acute myeloid leukemia patients: prognostic significance of karyotype and selected molecular markers used in the European LeukemiaNet classification. Haematologica. 2014;99(2):308–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Juliusson G, Lazarevic V, Horstedt AS, Hagberg O, Hoglund M. Acute myeloid leukemia in the real world: why population-based registries are needed. Blood. 2012;119(17):3890–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Burnett AK, Russell NH, Hills RK, et al. Addition of gemtuzumab ozogamicin to induction chemotherapy improves survival in older patients with acute myeloid leukemia. J Clin Oncol. 2012;30(32):3924–31.

    Article  CAS  PubMed  Google Scholar 

  11. Castaigne S, Pautas C, Terre C, et al. Effect of gemtuzumab ozogamicin on survival of adult patients with de-novo acute myeloid leukaemia (ALFA-0701): a randomised, open-label, phase 3 study. Lancet. 2012;379(9825):1508–16.

    Article  CAS  PubMed  Google Scholar 

  12. Shah A, Andersson TM, Rachet B, Bjorkholm M, Lambert PC. Survival and cure of acute myeloid leukaemia in England, 1971–2006: a population-based study. Br J Haematol. 2013;162(4):509–16.

    Article  PubMed  Google Scholar 

  13. Thein MS, Ershler WB, Jemal A, Yates JW, Baer MR. Outcome of older patients with acute myeloid leukemia: an analysis of SEER data over 3 decades. Cancer. 2013;119(15):2720–7.

    Article  PubMed  Google Scholar 

  14. Alibhai SM, Leach M, Gupta V, et al. Quality of life beyond 6 months after diagnosis in older adults with acute myeloid leukemia. Crit Rev Oncol Hematol. 2009;69(2):168–74.

    Article  PubMed  Google Scholar 

  15. Alibhai SM, Leach M, Kermalli H, et al. The impact of acute myeloid leukemia and its treatment on quality of life and functional status in older adults. Crit Rev Oncol Hematol. 2007;64(1):19–30.

    Article  PubMed  Google Scholar 

  16. Hamaker ME, Stauder R, van Munster BC. On-going clinical trials for elderly patients with a hematological malignancy: are we addressing the right end points? Ann Oncol. 2014;25(3):675–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Repetto L, Fratino L, Audisio RA, et al. Comprehensive geriatric assessment adds information to Eastern Cooperative Oncology Group performance status in elderly cancer patients: an Italian Group for Geriatric Oncology Study. J Clin Oncol. 2002;20(2):494–502.

    Article  PubMed  Google Scholar 

  18. Klepin HD, Geiger AM, Tooze JA, et al. The feasibility of inpatient geriatric assessment for older adults receiving induction chemotherapy for acute myelogenous leukemia. J Am Geriatr Soc. 2011;59(10):1837–46.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Wedding U, Rohrig B, Klippstein A, Fricke HJ, Sayer HG, Hoffken K. Impairment in functional status and survival in patients with acute myeloid leukaemia. J Cancer Res Clin Oncol. 2006;132:665–71.

    Article  PubMed  Google Scholar 

  20. Deschler B, Ihorst G, Platzbecker U, et al. Parameters detected by geriatric and quality of life assessment in 195 older patients with myelodysplastic syndromes and acute myeloid leukemia are highly predictive for outcome. Haematologica. 2013;98(2):208–16.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Sherman AE, Motyckova G, Fega KR, et al. Geriatric assessment in older patients with acute myeloid leukemia: a retrospective study of associated treatment and outcomes. Leuk Res. 2013;37(9):998–1003.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Extermann M, Boler I, Reich RR, et al. Predicting the risk of chemotherapy toxicity in older patients: The Chemotherapy Risk Assessment Scale for High-Age Patients (CRASH) score. Cancer. 2011;118(31):3377–86.

    PubMed  Google Scholar 

  23. Hurria A, Togawa K, Mohile SG, et al. Predicting chemotherapy toxicity in older adults with cancer: a prospective multicenter study. J Clin Oncol. 2011;29(25):3457–65.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Ferrat E, Paillaud E, Laurent M, et al. Predictors of 1-year mortality in a prospective cohort of elderly patients with cancer. J Gerontol Ser A Biol Med Sci. 2015;70(9):1148–55.

    Article  Google Scholar 

  25. Palumbo A, Bringhen S, Mateos MV, et al. Geriatric assessment predicts survival and toxicities in elderly myeloma patients: an International Myeloma Working Group report. Blood. 2015;125(13):2068–74.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Guralnik JM, Ferrucci L, Pieper CF, et al. Lower extremity function and subsequent disability: consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery. J Gerontol A Biol Sci Med Sci. 2000;55(4):M221–31.

    Article  CAS  PubMed  Google Scholar 

  27. Guralnik JM, Ferrucci L, Simonsick EM, Salive ME, Wallace RB. Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability. N Engl J Med. 1995;332(9):556–61.

    Article  CAS  PubMed  Google Scholar 

  28. Studenski S, Perera S, Patel K, et al. Gait speed and survival in older adults. JAMA. 2011;305(1):50–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Goede V, Bahlo J, Chataline V, et al. Evaluation of geriatric assessment in patients with chronic lymphocytic leukemia: results of the CLL9 trial of the German CLL study group. Leuk Lymphoma. 2016;57(4):789–96.

    Article  CAS  PubMed  Google Scholar 

  30. Soubeyran P, Fonck M, Blanc-Bisson C, et al. Predictors of early death risk in older patients treated with first-line chemotherapy for cancer. J Clin Oncol. 2012;30(15):1829–34.

    Article  PubMed  Google Scholar 

  31. Guralnik JM, Simonsick EM, Ferrucci L, et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol. 1994;49(2):M85–94.

    Article  CAS  PubMed  Google Scholar 

  32. Klepin HD, Geiger AM, Tooze JA, et al. Geriatric assessment predicts survival for older adults receiving induction chemotherapy for acute myelogenous leukemia. Blood. 2013;121(21):4287–94.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Timilshina N, Breunis H, Tomlinson G, Brandwein J, Alibhai SM. Do quality of life, physical function, or the Wheatley index at diagnosis predict 1-year mortality with intensive chemotherapy in older acute myeloid leukemia patients? Leuk Res. 2016;47:142–8.

    Article  PubMed  Google Scholar 

  34. D’Agostino Jr R, Rubin D. Estimating and using propensity scores with partially missing data. J Am Stat Assoc. 2000;95(451):749–59.

    Article  Google Scholar 

  35. Djunic I, Virijevic M, Novkovic A, et al. Comorbidity as a risk factor for overall survival and decision criteria for intensity of chemotherapy in elderly patients with acute myeloid leukemia. Med Oncol. 2012;29(2):1077–81.

    Article  PubMed  Google Scholar 

  36. Etienne A, Esterni B, Charbonnier A, et al. Comorbidity is an independent predictor of complete remission in elderly patients receiving induction chemotherapy for acute myeloid leukemia. Cancer. 2007;109(7):1376–83.

    Article  PubMed  Google Scholar 

  37. Giles FJ, Borthakur G, Ravandi F, et al. The haematopoietic cell transplantation comorbidity index score is predictive of early death and survival in patients over 60 years of age receiving induction therapy for acute myeloid leukaemia. Br J Haematol. 2007;136(4):624–7.

    Article  PubMed  Google Scholar 

  38. Sorror ML, Maris MB, Storb R, et al. Hematopoietic cell transplantation (HCT)-specific comorbidity index: a new tool for risk assessment before allogeneic HCT. Blood. 2005;106(8):2912–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Breccia M, Frustaci AM, Cannella L, et al. Comorbidities and FLT3-ITD abnormalities as independent prognostic indicators of survival in elderly acute myeloid leukaemia patients. Hematol Oncol. 2009;27(3):148–53.

    Article  PubMed  Google Scholar 

  40. Djunic I, Virijevic M, Novkovic A, et al. Pretreatment risk factors and importance of comorbidity for overall survival, complete remission, and early death in patients with acute myeloid leukemia. Hematology. 2012;17(2):53–8.

    Article  CAS  PubMed  Google Scholar 

  41. Savic A, Kvrgic V, Rajic N, et al. The hematopoietic cell transplantation comorbidity index is a predictor of early death and survival in adult acute myeloid leukemia patients. Leuk Res. 2012;36(4):479–82.

    Article  PubMed  Google Scholar 

  42. Harb AJ, Tan W, Wilding GE, et al. Treating octogenarian and nonagenarian acute myeloid leukemia patients--predictive prognostic models. Cancer. 2009;115(11):2472–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Ostgard LS, Norgaard JM, Sengelov H, et al. Comorbidity and performance status in acute myeloid leukemia patients: a nation-wide population-based cohort study. Leukemia. 2015;29(3):548–55.

    Article  CAS  PubMed  Google Scholar 

  44. Malfuson JV, Etienne A, Turlure P, et al. Risk factors and decision criteria for intensive chemotherapy in older patients with acute myeloid leukemia. Haematologica. 2008;93(12):1806–13.

    Article  CAS  PubMed  Google Scholar 

  45. Tawfik B, Pardee TS, Isom S, et al. Comorbidity, age, and mortality among adults treated intensively for acute myeloid leukemia (AML). J Geriatr Oncol. 2015.

  46. McCusker J, Cole M, Abrahamowicz M, Primeau F, Belzile E. Delirium predicts 12-month mortality. Arch Intern Med. 2002;162(4):457–63.

    Article  PubMed  Google Scholar 

  47. Meyers CA, Albitar M, Estey E. Cognitive impairment, fatigue, and cytokine levels in patients with acute myelogenous leukemia or myelodysplastic syndrome. Cancer. 2005;104(4):788–93.

    Article  CAS  PubMed  Google Scholar 

  48. Balducci L, Goetz-Parten D, Steinman MA. Polypharmacy and the management of the older cancer patient. Ann Oncol. 2013;24 Suppl 7:vii36–40.

    Article  PubMed  Google Scholar 

  49. Flood KL, Carroll MB, Le CV, Brown CJ. Polypharmacy in hospitalized older adult cancer patients: experience from a prospective, observational study of an oncology-acute care for elders unit. Am J Geriatr Pharmacother. 2009;7(3):151–8.

    Article  PubMed  Google Scholar 

  50. Maggiore RJ, Gross CP, Hurria A. Polypharmacy in older adults with cancer. Oncologist. 2010;15(5):507–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Prithviraj GK, Koroukian S, Margevicius S, Berger NA, Bagai R, Owusu C. Patient characteristics associated with polypharmacy and inappropriate prescribing of medications among older adults with cancer. J Geriatr Oncol. 2012;3(3):228–37.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Puts MT, Costa-Lima B, Monette J, et al. Medication problems in older, newly diagnosed cancer patients in Canada: how common are they? A prospective pilot study. Drugs Aging. 2009;26(6):519–36.

    Article  PubMed  Google Scholar 

  53. Elliot K, Tooze JA, Geller R, et al. The prognostic importance of polypharmacy in older adults treated for acute myelogenous leukemia (AML). Leuk Res. 2014;38(10):1184–90.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Hamaker ME, Prins MC, Stauder R. The relevance of a geriatric assessment for elderly patients with a haematological malignancy—a systematic review. Leuk Res. 2014;38(3):275–83.

    Article  CAS  PubMed  Google Scholar 

  55. Klepin H, Ritchie K, Sanford B, et al. Feasibility of geriatric assessement for older adults with acute myeloid leukemia (AML) receiving intensive chemotherapy on a cooperative group trail: CALGB 361006 (Alliance). 2014 ASCO Annual Meeting. Chicago: McCormick Place; 2014.

    Google Scholar 

  56. Grishina O, Schmoor C, Dohner K, et al. DECIDER: prospective randomized multicenter phase II trial of low-dose decitabine (DAC) administered alone or in combination with the histone deacetylase inhibitor valproic acid (VPA) and all-trans retinoic acid (ATRA) in patients >60 years with acute myeloid leukemia who are ineligible for induction chemotherapy. BMC Cancer. 2015;15:430.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Studenski S, Perera S, Wallace D, et al. Physical performance measures in the clinical setting. J Am Geriatr Soc. 2003;51(3):314–22.

    Article  PubMed  Google Scholar 

  58. Hurria A, Cirrincione CT, Muss HB, et al. Implementing a geriatric assessment in cooperative group clinical cancer trials: CALGB 360401. J Clin Oncol. 2011;29(10):1290–6.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Hurria A, Gupta S, Zauderer M, et al. Developing a cancer-specific geriatric assessment: a feasibility study. Cancer. 2005;104(9):1998–2005.

    Article  PubMed  Google Scholar 

  60. Kawas C, Karagiozis H, Resau L, Corrada M, Brookmeyer R. Reliability of the blessed telephone information-memory-concentration test. J Geriatr Psychiatry Neurol. 1995;8(4):238–42.

    Article  CAS  PubMed  Google Scholar 

  61. Ketelaars L, Pottel L, Lycke M, et al. Use of the Freund clock drawing test within the Mini-Cog as a screening tool for cognitive impairment in elderly patients with or without cancer. J Geriatr Oncol. 2013;4(2):174–82.

    Article  PubMed  Google Scholar 

  62. Ferrara F, Barosi G, Venditti A, et al. Consensus-based definition of unfitness to intensive and non-intensive chemotherapy in acute myeloid leukemia: a project of SIE, SIES and GITMO group on a new tool for therapy decision making. Leukemia. 2013;27(5):997–9.

    Article  CAS  PubMed  Google Scholar 

  63. Borlenghi E, Pagani C, Basilico C, et al. Validating the patient’s “fitness” criteria proposed to guide treatment decision in elderly AML: a Multicenter Study on a Population-Based Series of 362 patients by the network “Rete Ematologica Lombarda” (REL). Blood. 2014;124(21):279.

    Google Scholar 

  64. Alibhai SM, O’Neill S, Fisher-Schlombs K, et al. A clinical trial of supervised exercise for adult inpatients with acute myeloid leukemia (AML) undergoing induction chemotherapy. Leuk Res. 2012;36(10):1255–61.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Klepin HD, Danhauer SC, Tooze JA, et al. Exercise for older adult inpatients with acute myelogenous leukemia: a pilot study. J Geriatr Oncol. 2011;2(1):11–7.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Heidi D. Klepin.

Ethics declarations

Conflict of Interest

Heidi Klepin is a consultant for Celgene and contributor for Uptodate.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

Additional information

This article is part of the Topical Collection on Acute Myeloid Leukemias

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Klepin, H.D. Definition of Unfit for Standard Acute Myeloid Leukemia Therapy. Curr Hematol Malig Rep 11, 537–544 (2016). https://doi.org/10.1007/s11899-016-0348-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11899-016-0348-8

Keywords

Navigation