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Quality of Life Research

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26-04-2017

Parent-reported cognitive function is associated with leukoencephalopathy in children with brain tumors

Auteurs: Jin-Shei Lai, Corey Bregman, Frank Zelko, Cindy Nowinski, David Cella, Jennifer J. Beaumont, Stewart Goldman

Gepubliceerd in: Quality of Life Research | Uitgave 9/2017

Abstract

Purpose

Cognitive dysfunction is a major concern for children with brain tumors. A valid, user-friendly screening tool could facilitate prompt referral for comprehensive neuropsychological assessments and therefore early intervention. Applications of the pediatric perceived cognitive function item bank (pedsPCF) such as computerized adaptive testing can potentially serve as such a tool given its brevity and user-friendly nature. This study aimed to evaluate whether pedsPCF was a valid indicator of cerebral compromise using the criterion of structural brain changes indicated by leukoencephalopathy grades.

Methods

Data from 99 children (mean age = 12.6 years) with brain tumors and their parents were analyzed. Average time since diagnosis was 5.8 years; time since last treatment was 4.3 years. Leukoencephalopathy grade (range 0–4) was based on white matter damage and degree of deep white matter volume loss shown on MRI. Parents of patients completed the pedsPCF. Scores were based on the US general population-based T-score metric (mean = 50; SD = 10). Higher scores reflect better function.

Results

Leukoencephalopathy grade distributions were as follows: 36 grade 0, 27 grade 1, 22 grade 2, 13 grade 3, and 1 grade 4. The mean pedsPCF T-score was 48.3 (SD = 8.3; range 30.5–63.7). The pedsPCF scores significantly discriminated patients with different leukoencephalopathy grades, F = 4.14, p = 0.0084. Effect sizes ranged from 0.09 (grade 0 vs. 1) to 1.22 (grade 0 vs. 3/4).

Conclusion

This study demonstrates that the pedsPCF is a valid indicator of leukoencephalopathy and provides support for its use as a screening tool for more comprehensive neurocognitive testing.

vorige artikel Assessment of apathy minimising the effect of motor dysfunctions in Parkinson’s disease: a validation study of the dimensional apathy scale

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Oeffinger, K. C., & Robison, L. L. (2007). Childhood cancer survivors, late effects, and a new model for understanding survivorship. The Journal of the American Medical Association, 297(24), 2762–2764.PubMed

Geenen, M. M., Cardous-Ubbink, M. C., Kremer, L. C., van den, B. C., van der Pal, H. J., Heinen, R. C., et al. (2007). Medical assessment of adverse health outcomes in long-term survivors of childhood cancer. The Journal of the American Medical Association, 297(24), 2705–2715.PubMed

Meyers, C. A., Hess, K. R., Yung, W. K., & Levin, V. A. (2000). Cognitive function as a predictor of survival in patients with recurrent malignant glioma. Journal of Clinical Oncology, 18(3), 646–650.PubMed

Parisi, M. T., Fahmy, J. L., Kaminsky, C. K., & Malogolowkin, M. H. (1999). Complications of cancer therapy in children: A radiologist’s guide. Radiographics, 19(2), 283–297.PubMed

Packer, R. J., Goldwein, J., Nicholson, H. S., Vezina, L. G., Allen, J. C., Ris, M. D., et al. (1999). Treatment of children with medulloblastomas with reduced-dose craniospinal radiation therapy and adjuvant chemotherapy: A Children’s Cancer Group Study. Journal of Clinical Oncology, 17(7), 2127–2136.PubMed

Lavigne, J. V., & Faier-Routman, J. (1992). Psychological adjustment to pediatric physical disorders: A meta-analytic review. Journal of Pediatric Psychology, 17(2), 133–157.PubMed

Patenaude, A. F., & Kupst, M. J. (2005). Psychosocial functioning in pediatric cancer. Journal of Pediatric Psychology, 30(1), 9–27.PubMed

Hays, D. M., Dolgin, M., Steele, L. L., Patenaude, A. F., Hewett, K. D., Ruymann, F., et al. (1997). Educational achievement, employment and workplace experience of adult survivors of childhood cancer. International Journal of Pediatric Hematology/Oncology, 4, 327–337.

Packer, R. J., Gurney, J. G., Punyko, J. A., Donaldson, S. S., Inskip, P. D., Stovall, M., et al. (2003). Long-term neurologic and neurosensory sequelae in adult survivors of a childhood brain tumor: Childhood cancer survivor study. Journal of Clinical Oncology, 21(17), 3255–3261.PubMed

10.

Walsh, K. S., Noll, R. B., Annett, R. D., Patel, S. K., Patenaude, A. F., & Embry, L. (2016). Standard of care for neuropsychological monitoring in pediatric neuro-oncology: lessons from the Children’s Oncology Group (COG). Pediatric Blood & Cancer, 63(2), 191–195.

11.

Selove, R., Kroll, T., Coppes, M., & Cheng, Y. (2012). Psychosocial services in the first 30 days after diagnosis: Results of a web-based survey of children’s oncology group (COG) member institutions. Pediatric Blood & Cancer, 58(3), 435–440.

12.

Eisman, E. J., Dies, R. R., Finn, S. E., Eyde, L. D., Kay, G. G., Kubiszyn, T. W., et al. (2000). Problems and limitations in using psychological assessment in the contemporary health care delivery system. Professional Psychology: Research and Practice, 31(2), 131.

13.

Bull, K. S., Liossi, C., Peacock, J. L., Yuen, H. M., & Kennedy, C. R. (2015). Screening for cognitive deficits in 8 to 14-year old children with cerebellar tumors using self-report measures of executive and behavioral functioning and health-related quality of life. Neuro-oncology, 17(12), 1628–1636.PubMedPubMedCentral

14.

Mahone, E. M., Martin, R., Kates, W. R., Hay, T., & Horska, A. (2009). Neuroimaging correlates of parent ratings of working memory in typically developing children. Journal of the International Neuropsychological Society, 15(1), 31–41.PubMedPubMedCentral

15.

de Groot, J. C., de Leeuw, F. E., Oudkerk, M., van Gijn, J., Hofman, A., Jolles, J., et al. (2000). Cerebral white matter lesions and cognitive function: The Rotterdam scan study. Annals of Neurology, 47(2), 145–151.PubMed

16.

de Groot, J. C., de Leeuw, F. E., Oudkerk, M., Hofman, A., Jolles, J., & Breteler, M. M. (2001). Cerebral white matter lesions and subjective cognitive dysfunction: The Rotterdam Scan Study. Neurology, 56(11), 1539–1545.PubMed

17.

O’Brien, J., Desmond, P., Ames, D., Schweitzer, I., Harrigan, S., & Tress, B. (1996). A magnetic resonance imaging study of white matter lesions in depression and Alzheimer’s disease. British Journal of Psychiatry, 168(4), 477–485.

18.

Saykin, A. J., Wishart, H. A., Rabin, L. A., Santulli, R. B., Flashman, L. A., West, J. D., et al. (2006). Older adults with cognitive complaints show brain atrophy similar to that of amnestic MCI. Neurology, 67(5), 834–842.PubMed

19.

Ferguson, R. J., McDonald, B. C., Saykin, A. J., & Ahles, T. A. (2007). Brain structure and function differences in monozygotic twins: Possible effects of breast cancer chemotherapy. Journal of Clinical Oncology, 25(25), 3866–3870.PubMed

20.

Achenbach, T. M. (1991). Integrative guide to the 1991 CBCL/4-18, YSR, and TRF profiles. Burlington, VT: University of Vermont, Department of Psychology.

21.

Conners, C. K. (2000). Conners’ rating scales-revised technical manual. North Tonawanda, NY: Multi Health Systems.

22.

Gioia, G. A., Isquith, P., Guy, S., & Kenworthy, L. (2000). Behavior rating inventory of executive function (BRIEF): Professional manual. Odessa, FL: Psychological Assessment Resources.

23.

Hardy, K. K., Willard, V. W., Wigdor, A. B., Allen, T. M., & Bonner, M. J. (2015). The potential utility of parent-reported attention screening in survivors of childhood cancer to identify those in need of comprehensive neuropsychological evaluation. Neuro-oncology Practice, 2(1), 32–39.PubMed

24.

Lai, J.-S., Butt, Z., Zelko, F., Cella, D., Krull, K., Kieran, M., et al. (2011). Development of a parent-report cognitive function item bank using item response theory and exploration of its clinical utility in computerized adaptive testing. Journal of Pediatric Psychology, 36(7), 766–779.PubMedPubMedCentral

25.

Lai, J.-S., Zelko, F., Krull, K., Cella, D., Nowinski, C., Manley, P., et al. (2014). Parent-reported cognition of children with cancer and its potential clinical usefulness. Quality of Life Research, 23(4), 1049–1058.PubMed

26.

Lai, J.-S., Stucky, B., Thissen, D., Varni, J., DeWitt, E., Irwin, D., et al. (2013). Development and psychometric properties of the PROMIS^® pediatric fatigue item banks. Quality of Life Research, 22(9), 2417–2427.PubMed

27.

National Cancer Institute. (2010). Common terminology criteria for adverse events: (CTCAE) Version 4.0. from http://evs.nci.nih.gov/ftp1/CTCAE/Documentation/CTCAE_Governance_2010-03-11.pdf

28.

Schneider, W., Lockl, K., & Perfect, T. (2002). The development of metacognition knowledge in children and adolescents. Applied metacognition (pp. 224EP–259). West Nyack, NY: Cambridge University Press.

29.

Hinds, P. S., Quargnenti, A., Bush, A. J., Pratt, C., Fairclough, D., Rissmiller, G., Betcher, D., & Gilchrist, G. S. (2000). An evaluation of the impact of a self-care coping intervention on psychological and clinical outcomes in adolescents with newly diagnosed cancer. European Journal of Oncology Nursing, 4(1), 6–17; discussion 18–19.

30.

DeWitt, E. M., Stucky, B. D., Thissen, D., Irwin, D. E., Langer, M., Varni, J. W., et al. (2011). Construction of the eight-item patient-reported outcomes measurement information system pediatric physical function scales: Built using item response theory. Journal of Clinical Epidemiology, 64(7), 794–804.PubMedPubMedCentral

31.

Irwin, D. E., Stucky, B., Langer, M. M., Thissen, D., Dewitt, E. M., Lai, J. S., et al. (2010). An item response analysis of the pediatric PROMIS anxiety and depressive symptoms scales. Quality of Life Research, 19(4), 595–607.PubMedPubMedCentral

32.

Dewalt, D. A., Thissen, D., Stucky, B. D., Langer, M. M., Morgan Dewitt, E., Irwin, D. E., et al. (2013). PROMIS pediatric peer relationships scale: Development of a peer relationships item bank as part of social health measurement. Health Psychology, 32(10), 1093–1103.PubMed

33.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: L. Erlbaum Associates.

34.

Iuvone, L., Mariotti, P., Colosimo, C., Guzzetta, F., Ruggiero, A., & Riccardi, R. (2002). Long-term cognitive outcome, brain computed tomography scan, and magnetic resonance imaging in children cured for acute lymphoblastic leukemia. Cancer, 95(12), 2562–2570.PubMed

35.

Conklin, H. M., Ogg, R. J., Ashford, J. M., Scoggins, M. A., Zou, P., Clark, K. N., et al. (2015). Computerized cognitive training for amelioration of cognitive late effects among childhood cancer survivors: A randomized controlled trial. Journal of Clinical Oncology, 33(33), 3894–3902.PubMedPubMedCentral

36.

Butler, R. W., Copeland, D. R., Fairclough, D. L., Mulhern, R. K., Katz, E. R., Kazak, A. E., et al. (2008). A multicenter, randomized clinical trial of a cognitive remediation program for childhood survivors of a pediatric malignancy. Journal of Consulting and Clinical Psychology, 76(3), 367–378.PubMedPubMedCentral

37.

van’t Hooft, I., Andersson, K., Bergman, B., Sejersen, T., von Wendt, L., & Bartfai, A. (2007). Sustained favorable effects of cognitive training in children with acquired brain injuries. NeuroRehabilitation, 22(2), 109–116.

38.

Moore, I. M., Hockenberry, M. J., Anhalt, C., McCarthy, K., & Krull, K. R. (2012). Mathematics intervention for prevention of neurocognitive deficits in childhood leukemia. Pediatric Blood & Cancer, 59(2), 278–284.

39.

Krull, K. R., Okcu, M. F., Potter, B., Jain, N., Dreyer, Z., Kamdar, K., et al. (2008). Screening for neurocognitive impairment in pediatric cancer long-term survivors. Journal of Clinical Oncology, 26(25), 4138.PubMed

40.

Lageman, S., Cerhan, J., Locke, D. C., Anderson, S. K., Wu, W., & Brown, P. (2010). Comparing neuropsychological tasks to optimize brief cognitive batteries for brain tumor clinical trials. Journal of Neuro-oncology, 96(2), 271–276.PubMed

41.

Armstrong, C. L., Goldstein, B., Shera, D., Ledakis, G. E., & Tallent, E. M. (2003). The predictive value of longitudinal neuropsychologic assessment in the early detection of brain tumor recurrence. Cancer, 97(3), 649–656.PubMed

42.

Ottensmeier, H., Zimolong, B., Wolff, J. E., Ehrich, J., Galley, N., von Hoff, K., et al. (2015). Neuropsychological short assessment of disease-and treatment-related intelligence deficits in children with brain tumours. European Journal of Paediatric Neurology, 19(3), 298–307.PubMed

43.

Lai, J. S., Zelko, F., Butt, Z., Cella, D., Kieran, M. W., Krull, K. R., et al. (2011). Parent-perceived child cognitive function: Results from a sample drawn from the US general population. Child’s Nervous System, 27(2), 285–293.PubMed

44.

Lai, J.-S., Yount, S., Beaumont, J. L., Cella, D., Toia, J., & Goldman, S. (2015). A patient-centered symptom monitoring and reporting system for children and young adults with cancer (SyMon-SAYS). Pediatric Blood & Cancer, 62(10), 1813–1818.

45.

Anderson, V. A., Spencer-Smith, M. M., Coleman, L., Anderson, P. J., Greenham, M., Jacobs, R., et al. (2014). Predicting neurocognitive and behavioural outcome after early brain insult. Developmental Medicine and Child Neurology, 56(4), 329–336.PubMed

46.

Anderson, V., Catroppa, C., Godfrey, C., & Rosenfeld, J. V. (2011). Intellectual ability 10 years after traumatic brain injury in infancy and childhood: What predicts outcome? Journal of Neurotrauma, 29(1), 143–153.

Titel: Parent-reported cognitive function is associated with leukoencephalopathy in children with brain tumors
Auteurs: Jin-Shei Lai
Corey Bregman
Frank Zelko
Cindy Nowinski
David Cella
Jennifer J. Beaumont
Stewart Goldman
Publicatiedatum: 26-04-2017
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 9/2017
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-017-1583-8

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Purpose

Methods

Results

Conclusion

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