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Assessment of cognitive function in patients with metastatic cancer: Are we using the right tools?

Published online by Cambridge University Press:  07 August 2017

Geana Paula Kurita*
Affiliation:
Palliative Research Group, Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark Multidisciplinary Pain Centre, Department of Neuroanaesthesiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
Marlene Sandvad
Affiliation:
Palliative Research Group, Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
Lena Lundorff
Affiliation:
Department of Palliative Care, Uddevalla Hospital, Uddevalla, Sweden
Cibele Andrucioli De Mattos-Pimenta
Affiliation:
Department of Medical Surgical Nursing, School of Nursing, University of São Paulo, São Paulo, Brazil
Jette Højsted
Affiliation:
Multidisciplinary Pain Centre, Department of Neuroanaesthesiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
Per Sjøgren
Affiliation:
Palliative Research Group, Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
*
Address correspondence and reprint requests to: Geana Kurita, Rigshospitalet, Blegdamsvej 9, Department 4111, 2100 Copenhagen, Denmark. E-mail: [email protected].

Abstract

Objective:

This study aimed at analyzing the validity and reliability of the continuous reaction time (CRT) test, the finger-tapping test (FTT), the Digit Span Test (DST), the Trail Making Test – part B (TMTB), and the Mini-Mental State Examination (MMSE) in patients with metastatic cancer.

Method:

Eighty adult patients and 81 healthy controls were assessed between July of 2010 and November of 2015. The neuropsychological tests were analyzed regarding construct/discriminant/criterion validity and reliability.

Results:

In terms of construct validity, it was not possible to estimate a model for the MMSE because of a skewed response distribution. For discriminant validity, patients were slower on two measures of the CRT (p = 0.00483, p = 0.00030) and FTT dominant hand (p = 0.00306). Regarding sensitivity and specificity, only the DST and TMTB seemed to predict cognitive deficit; however, the ROC curve areas were ≤ 0.73. In terms of criterion validity, there were few significant correlations between the tests and the sociodemographic and clinical variables, and for the most part were very weak. Reliability was deemed to be adequate for the TMTB, DST, and FTT.

Significance of results:

The findings of the full validation analyses were not clear-cut. However, CRT test, DST, FTT, and TMTB demonstrated partial positive results, indicating that these tests have good potential for use in clinical settings and require further study.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2017 

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References

REFERENCES

Aaronson, N.K., Ahmedzai, S., Bergman, B., et al. (1993). The European Organization for Research and Treatment of Cancer QLQ–C30: A quality-of-life instrument for use in international clinical trials in oncology. Journal of the National Cancer Institute, 85(5), 365376.Google Scholar
Banning, A. & Sjøgren, P. (1990). Cerebral effects of long-term oral opioids in cancer patients measured by continuous reaction time. Clinical Journal of Pain, 6, 9195.Google Scholar
Banning, A., Sjøgren, P. & Kaiser, F. (1992). Reaction time in cancer patients receiving peripherally acting analgesics alone or in combination with opioids. Acta Anaesthesiologica Scandinavica, 36(5), 480482.CrossRefGoogle ScholarPubMed
dos Santos, J., de Mattos-Pimenta, C.A., Kurita, G., et al. (2014). Validation of the Trail Making Test B for the cognitive assessment of patients with cancer in palliative care. Open Journal of Statistics, 4, 435445. Available from https://file.scirp.org/pdf/OJS_2014082716264133.pdf.CrossRefGoogle Scholar
Elsass, P. (1986). Continuous reaction times in cerebral dysfunction. Acta Neurologica Scandinavica, 73(3), 122.Google Scholar
Folstein, M.F., Folstein, S.E. & McHugh, P.R. (1975). Mini-Mental State: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189198.Google Scholar
Glisky, E.L. (2007). Changes in cognitive function in human aging. In Brain Aging: Models, Methods, and Mechanisms. Riddle, D.R. (ed.), chap. 1. Boca Raton, FL: CRC Press/Taylor & Francis. Available from http://www.ncbi.nlm.nih.gov/books/NBK3885/.Google Scholar
Harvey, P.D. (2012). Clinical applications of neuropsychological assessment. Dialogues in Clinical Neuroscience, 14(1), 9199.Google Scholar
Hjermstad, M.J., Loge, J.H. & Kaasa, S. (2004). Methods for assessment of cognitive failure and delirium in palliative care patients: Implications for practice and research. Palliative Medicine, 18(6), 494506.Google Scholar
Ingham, J., Moore, H., Phillips, J.L., et al. (2015). The measurement of, and tools for, pain and other symptoms. In Oxford Textbook of Palliative Medicine, 5th ed. Cherny, N. et al. (eds.), pp. 377390. Oxford: Oxford University Press.Google Scholar
Inouye, S.K., Foreman, M.D., Mion, L.C., et al. (2001). Nurses' recognition of delirium and its symptoms: Comparison of nurse and researcher ratings. Archives of Internal Medicine, 161(20), 24672473.Google Scholar
Jakobsen, L.H., Sorensen, J.M., Rask, I.K., et al. (2011).Validation of reaction time as a measure of cognitive function and quality of life in healthy subjects and patients. Nutrition, 27(5), 561570.Google Scholar
Janelsins, M.C., Kesler, S.R., Ahles, T.A., et al. (2014). Prevalence, mechanisms, and management of cancer-related cognitive impairment. International Review of Psychiatry, 26(1), 102113.CrossRefGoogle ScholarPubMed
Kurita, G.P. & de Mattos-Pimenta, C.A. (2008). Cognitive impairment in cancer pain patients receiving opioids: A pilot study. Cancer Nursing, 31(1), 4957.Google Scholar
Kurita, G.P., Lundorff, L., Pimenta, C.A., et al. (2009). The cognitive effects of opioids in cancer: A systematic review. Supportive Care in Cancer, 17(1), 1121.Google Scholar
Kurita, G.P., Sjøgren, P., Ekholm, O., et al. (2011). Prevalence and predictors of cognitive dysfunction in opioid treated cancer patients: A multinational study. Journal of Clinical Oncology, 29(10), 12971303.CrossRefGoogle ScholarPubMed
Kurita, G.P., Ekholm, O., Kaasa, S., et al. (2016). Genetic variation and cognitive dysfunction in opioid-treated patients with cancer. Brain and Behavior, 6(7), e00471. Available from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4864175/pdf/BRB3-6-e00471.pdf.Google Scholar
Landis, J. & Koch, G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159174.CrossRefGoogle ScholarPubMed
Lange, M., Rigal, O., Clarisse, B., et al. (2014). Cognitive dysfunctions in elderly cancer patients: A new challenge for oncologists. Cancer Treatment Reviews, 40(6), 810817.Google Scholar
Mitnick, S., Leffler, C., Hood, V.L., et al. (2010). Family caregivers, patients and physicians: Ethical guidance to optimize relationships. Journal of General Internal Medicine, 25(3), 255260.Google Scholar
Mystakidou, K., Tsilika, E., Parpa, E., et al. (2007). Brief cognitive assessment of cancer patients: Evaluation of the Mini-Mental State Examination (MMSE) psychometric properties. Psycho-Oncology, 16(4), 352357.Google Scholar
Peters, M. (1976). Prolonged practice of a simple motor task by preferred and non-preferred hands. Perceptual and Motor Skills, 43, 447450.Google Scholar
Pisani, M.A., Redlich, C., McNicoll, L., et al. (2003). Underrecognition of preexisting cognitive impairment by physicians in older ICU patients. Chest, 124(6), 22672274.CrossRefGoogle ScholarPubMed
Reitan, R.M. (1958). Validity of the Trail Making Test as an indicator of organic brain damage. Perceptual and Motor Skills, 8, 271276.Google Scholar
Sjøgren, P. (1997). Psychomotor and cognitive functioning in cancer patients. Acta Anaesthesiologica Scandinavica, 41(1, Pt. 2), 159161.CrossRefGoogle ScholarPubMed
Sjøgren, P. (2006). Cognitive Function in Cancer and Chronic Non-Malignant Pain. Doctoral dissertation. Aarhus, Denmark: Faculty of Health Sciences, University of Aarhus.Google Scholar
Sjøgren, P. & Banning, A. (1989). Pain, sedation and reaction time during long-term treatment of cancer patients with oral and epidural opioids. Pain, 39(1), 511.Google Scholar
Sjøgren, P., Banning, A.M., Christensen, C.B., et al. (1994). Continuous reaction time after single dose, long-term oral and epidural opioid administration. European Journal of Anaesthesiology, 11(2), 95100.Google ScholarPubMed
Sjøgren, P., Olsen, A.K., Thomsen, A.B., et al. (2000). Neuropsychological performance in cancer patients: The role of oral opioids, pain and performance status. Pain, 86(3), 237245.Google Scholar
Tucker-Drob, E.M., Johnson, K.E. & Jones, R.N. (2009). The cognitive reserve hypothesis: A longitudinal examination of age-associated declines in reasoning and processing speed. Developmental Psychology, 45(2), 431446.Google Scholar
Wechsler, D. (1981). Wechsler Adult Intelligence Scale–Revised. New York: The Psychological Corporation.Google Scholar
Zigmond, A.S. & Snaith, R.P. (1983). The Hospital Anxiety and Depression Scale. Acta Psychiatrica Scandinavica, 67(6), 361370.Google Scholar