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5 Review Hematology Onco-haematology geriatry: impact of cognitive disorders S. Dubruille, PhD1,2, Y. Libert, PhD2, D. Razavi, MD, PhD2, D. Bron, MD, PhD1 A Comprehensive Geriatric Assessment is recommended to detect vulnerable cancer patients for whom chemotherapy may lead to severe impairment on functionality, quality of life, or survival. Although Comprehensive Geriatric Assessment is useful for better management of older patients with unsuspected problems, little is known about the reliability of the Comprehensive Geriatric Assessment to optimise the therapeutic approach in a specific patient with a malignant haemopathy. Particularly, the prognostic value of cognitive impairment in clinically fit older patients with haematological malignancies admitted to receive chemotherapy, are poorly investigated. This article investigated this question and tries to explain links between cognitive impairment and poor overall survival. Finally, this article tries to propose supportive interventions to reduce morbidity and mortality in older cancer patients with cognitive impairment. (Belg J Hematol 2016;7(5):180-3) Introduction Over 50% of all new cancer diagnoses occur in older patients.1 Predictions suggest that before 2050, there will be a further 40% increase in the number of patients living with cancer, of who one-third will be aged 80 years and older.2 Nevertheless, there is substantial underrepresentation of patients 65 years or older in studies of treatment for cancer.3 Geriatric patients typically have a greater burden of comorbid medical conditions; however, these may incompletely represent the spectrum of physiologic age and vulnerability.4 Growing evidence suggests that a G8 screening tool and a Comprehensive Geriatric Assessment (CGA) in older patients with malignant haemopathies helps heamatologists detect ‘frailty’ in cancer patients leading to useful interventions but less useful to identify patients for whom chemotherapy should be avoided or reduced as it could negatively impact functionality, quality of life, treatment-related toxicity, or survival.5-9 Moreover, specific data are lacking on the use of the G8 screening tool and CGA for specific older patients with haematological malignancies assessed by their physicians as clinically fit, meaning not exhibiting geriatric syndromes and/or irreversible comorbidities significantly impairing their daily function, and thus able to receive chemotherapy. Detecting clinically fit older patients is crucial because of the risks entailed by an inadequate therapeutical approach. On one hand, undertreating a patient because of comorbidities – although these could be reversible if due to the disease itself – could prevent this patient from being cured. On the other hand, treating undetected ‘vulnerable’ patients with a standard chemotherapy regimen could result in severe side effects ultimately leading to geriatric syndromes, dependence of the patient, and sometimes, life-threatening adverse events.10 Results Recently, we found that the G8 screening tool identified vulnerability in clinically fit older patients with haematological malignancies with moderate diagnostic accuracy.11 Indeed, neither the G8 nor the CGA total score (>2 impairments) seems to predict intolerance to treatment and survival among older patients with Department of Haematology, Institut Jules Bordet, Université Libre de Brussels, Brussels, Belgium, 2Clinic of Psycho-Oncology, Institut Jules 1 Bordet, Université Libre de Brussels, Brussels, Belgium. Please send all correspondence to: S. Dubruille, PhD, Institut Jules Bordet, Department of Haematology, 121 Boulevard de Waterloo, 1000 Brussels, Belgium, tel: +32 2 541 37 28, email: [email protected]. Conflict of interest: The authors have nothing to disclose and indicate no potential conflict of interest. Keywords: cancer, cognitive impairment, geriatric assessment, older, patients. Belgian Journal of Hematology Volume 7, Issue 5, October 2016 18 0 Review Hematology Figure 1. Kaplan-Meir overall survival estimates between patients without cognitive impairment (MMSE ≥27 and MoCA ≥26) and patients with cognitive impairment (MMSE<27 or MoCA <26) in one-year overall survival. haematological malignancies admitted to receive chemotherapy.11,12 Regarding survival, we found in a multivariate analysis that only cognitive status (MMSE< 27 or MoCA<26) in the CGA had a predictive value for one-year overall survival (Figure 1). This result is consistent with other studies that have demonstrated that older patients with cancer who have cognitive impairment (CI) have a higher risk of death compared to those with normal cognitive function.13-15 More recently, we also found that CI has an impact on two-year overall survival among older cancer patients at the start of their onco-surgical treatment.16 In this study, CI detected by the Mini Mental State Examination (<27) was not a significant predictor of survival. Only, CI detected by the Montreal Cognitive Assessment (<26) has an impact on overall survival among this specific population. There are two possible explanations that may account for these results. First, few patients were found to be vulnerable by the MMSE (13%), reducing the potential predictive power of impairments detected by this scale. Second, although the MMSE is useful to detect severe CI in clinical settings, it is less sensitive to subtle impairments, such as Mild Cognitive Impairment (MCI), than the MoCA.17 Regarding the impact of CI on overall survival, these results are easily explained by the fact that CI is associated with biological, medical, psychological, and/or social vulnerabilities. At the biological level, the presence of CI has been associated with biomarkers that are associated with reduced life-expectancy. These biomarkers indicate changes such as advanced cell senescence, Belgian Journal of Hematology 181 increased inflammation, decreased hormonal level, DNA damage, oxidative stress, or decrease in telomere length.18-21 CI has also been associated with various comorbidities (poor cardiovascular conditions, diabetes, anaemia, hypertension, or vitamin D deficiency) and unhealthy lifestyle (low levels of physical activity, smoking, or alcohol abuse) that have been shown to be associated with shortened life-expectancies in older patients.21,22 At the medical level, a CI could be a risk factor for an adjuvant under- or over-treatment of older patients. On one hand, not giving chemotherapy to some patients because of suspected CI may prevent them from potential remission. However, giving chemotherapy to patients with a CI may result in severe side effects that ultimately lead to life-threatening adverse events when the CI is a marker of underlying frailty or deficit in physiological function. At the psychological level, the presence of a CI has been associated with characteristics recognised as risk factors for reduced life expectancies of older people in general, and of older cancer patients in particular. These include anxiety, depression, distress, fatigue, low cognitive reserve, or neuropsychological disorders.18 Finally, at the social level, CIs have been associated with low education levels and social isolation that have been recognised as risk factors for reduced life expectancies in older people.23 Moreover, CIs may impair the abilities of older cancer patients to remember and implement recommendations from their relatives or health care professionals, specifically regarding cancer treatment and the management of acute symptoms such as fever, nausea, or pain. Figure 2 tries to explain the possible contributors to CI and a poor overall survival in older cancer patients. As many patients with haematological malignancies die from their disease and rarely from comorbidities, our study suggests that all clinically fit patients without CI could benefit from full dose chemotherapy and should thus be appropriately screened for such impairment.24 This assumption needs further investigation, but could be highly relevant for future treatment guidelines.11 Patients with CI should definitely be identified and steered towards rehabilitation and adapted care, including (neuro)-psychological support.25,26 Firstly, the authors suggest that physicians and health care professionals inform older patients about their vulnerabilities and their CI in particular. Furthermore, they should also have the specific interventions that are needed explained to them. Secondly, the authors suggest that physicians propose to repeat cognitive assessments, at least one Volume 7, Issue 5, October 2016 5 CANCER ? Psychological status Social status Aging Biomarkers of aging Comorbidities Cognitive impairment Genetic variations Unhealthy life style Treatment of cancer ? Overall Survival Figure 2. Possible contributors to cognitive impairment and a poor overall survival in older cancer patients. year following treatment initiation in order to modify the course of treatments according to the evolution of impairments. These evaluations must be assessed with an appropriate screening tool such as the MoCA, which is more suitable for clinically fit patients who do not present severe CI.17 Thirdly, the authors suggest proposing support interventions to increase compliance among patients with CI regarding cancer treatment and management of acute symptoms such as fever, nausea, or pain. Potentially useful strategies that could be considered to increase compliance among patients with CI include comprehensive patient education, neuro-psychological consultations, medication review, intensive post-discharge follow-up, and home-based interventions.27,28 Informal primary caregivers and family doctors should be included in these supportive interventions in order to maximise their usefulness and potential benefits. Future prospective studies should include an assessment of cancer treatment and assessments of patient compliance with medical recommendations in order to better understand the processes by which probable CIs could reduce survival in older cancer patients. Among these processes, prospective studies should also assess biomarkers of aging that are also associated with prob- Belgian Journal of Hematology able CI and survival (i.e. cell senescence, inflammation, hormone levels, DNA damage, oxidative stress, or telomere length). Prospective studies should also include repeated measures for probable CI in order to investigate the advancement of probable CI and its potential impact on survival. Conclusions In conclusion, at treatment initiation, CI has an impact on overall survival among clinically fit older patients with malignant haemopathies. CI may be an indication of a patient’s biological, medical, psychological, and social vulnerabilities. Older patients should be screened for CI at cancer treatment initiation in order to propose supportive interventions aiming to reduce morbidity and mortality. Further studies should address processes underlying the relationship between probable CI and an increased risk of mortality among older cancer patients. References 1. Repetto L, et al. Life expectancy, comorbidity and quality of life: the treatment equation in the older cancer patients. Crit Rev Oncol Hematol 2001;37:147-52. 2. Vercelli M, et al. Relative survival in elderly European cancer patients: evidence for health care inequalities. The EUROCARE Working Group. Crit Rev Oncol Hematol 2000;35:161-79. Volume 7, Issue 5, October 2016 182 Review Hematology Key messages for clinical practice 1. Cognitive impairment can have an impact on overall survival among clinically fit older patients with malignant haemopathies. 2. Older patients without cognitive impairment could benefit from a full dose of chemotherapy without severe side effects. 3. Need to manage older patients with unsuspected cognitive impairment in order to avoid side effects ultimately leading to dependence of the patient, and sometimes, life-threatening adverse events. 4. Need to implement supportive interventions in this specific population in order to improve tolerance to treatment, survival, and quality of life. 5. Need to inform health care professionals about the importance of cognitive impairment. 6. The Montreal Cognitive Assessment is more sensitive and useful to detect subtle CI than the Mini Mental State Examination. 3. Hutchins LF, et al. Underrepresentation of patients 65 years of age or older in elderly onco-surgical patients. J Geriatr Oncol 2015; Abstract presented at the cancer-treatment trials. N Engl J Med 1999;341:2061-7. 15th Conference of the SIOG. 4. Feng MA, et al. Geriatric assessment in surgical oncology: a systematic 17. Nasreddine ZS, et al. The Montreal Cognitive Assessment, MoCA: a brief review. J Surg Res 2015;193:265-72. screening tool for mild cognitive impairment. J Am Geriatr Soc 2005;53:695-9. 5. Soubeyran PB, et al. Validation of the G8 screening tool in geriatric oncology: 18. Ahles TA. Brain vulnerability to chemotherapy toxicities. Psychooncology the ONCODAGE project. J Clin Oncol 2011;29. 2012;21:1141-8. 6. Extermann M, et al. Use of comprehensive geriatric assessment in older 19. Anstey KJ, et al. Demographic, health, cognitive, and sensory variables as cancer patients: recommendations from the task force on CGA of the International predictors of mortality in very old adults. Psychol Aging 2001;16:3-11. Society of Geriatric Oncology (SIOG). Crit Rev Oncol Hematol 2005;55:241-52. 20. Mandelblatt JS, et al. Cognitive effects of cancer systemic therapy: implications 7. Hamaker ME, et al. The relevance of a geriatric assessment for elderly patients for the care of older patients and survivors. J Clin Oncol 2014;32:2617-26. with a haematological malignancy--a systematic review. Leuk Res 2014;38:275-83. 21. Lange M, et al. Cognitive dysfunctions in elderly cancer patients: a new 8. Kenis C, et al. Multicenter implementation of geriatric assessment in Belgian challenge for oncologists. Cancer Treat Rev 2014;40:810-7. patients with cancer: a survey on treating physicians' general experiences and 22. Etgen T, et al. Metabolic and endocrine factors in mild cognitive impairment. expectations. J Geriatr Oncol 2014;5:431-8. Ageing Res Rev 2010;9:280-8. 9. Kenis C, et al. Performance of two geriatric screening tools in older patients 23. Amieva H, et al. What aspects of social network are protective for dementia? with cancer. J Clin Oncol 2014;32:19-26. Not the quantity but the quality of social interactions is protective up to 15 years 10. Bron D, et al. Aging and malignant hemopathies. Haematologica 2015;100:571-4. later. Psychosom Med 2010;72:905-11. 11. Dubruille S, et al. Identification of clinical parameters predictive of one-year 24. Kendal WS. Dying with cancer: the influence of age, comorbidity, and survival using two geriatric tools in clinically fit older patients with hematological cancer site. Cancer 2008;112:1354-62. malignancies: Major impact of cognition. J Geriatr Oncol 2015;6:362-9. 25. Dubruille S, et al. The prevalence and implications of elderly inpatients' desire 12. Bron D, et al. Aging and blood disorders: new perspectives, new challenges. for a formal psychological help at the start of cancer treatment. Psychooncology Haematologica 2015;100:415-7. 2015;24:294-301. 13. Louwman WJ, et al. Less extensive treatment and inferior prognosis for 26. Mandelblatt JS, et al. Cognitive impairment in older patients with breast breast cancer patient with comorbidity: a population-based study. Eur J Cancer cancer before systemic therapy: is there an interaction between cancer and 2005;41:779-85. comorbidity? J Clin Oncol 2014;32:1909-18. 14. Robb C, et al. Patterns of care and survival in cancer patients with cognitive 27. Rich MW, et al. Effect of a multidisciplinary intervention on medication com- impairment. Crit Rev Oncol Hematol 2010;74:218-24. pliance in elderly patients with congestive heart failure. Am J Med 1996;101:270-6. 15. Klepin HD, et al. Geriatric assessment predicts survival for older adults receiving 28. Stewart S, et al. Effects of a multidisciplinary, home-based intervention on induction chemotherapy for acute myelogenous leukemia. Blood 2013;121:4287-94. unplanned readmissions and survival among patients with chronic congestive 16. Dubruille S, et al. Cognitive impairment predicts two-year total mortality in heart failure: a randomised controlled study. Lancet 1999;354:1077-83. Belgian Journal of Hematology 18 3 Volume 7, Issue 5, October 2016