Neurocognitive deficits in children with sickle cell disease are associated with the severity of anemia

Pediatric Blood and Cancer

Volumn 57, Issue 2, 2011, Pages 297-302

  Hijmans, Channa T ^a   Grootenhuis, Martha A ^a   Oosterlaan, Jaap ^b   Heijboer, Harriët ^a   Peters, Marjolein ^a   Fijnvandraat, Karin ^a  

^a EMMA CHILDREN S HOSPITAL   (Netherlands)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

Anemia; Children; MRI; Neurocognitive deficits; Sickle cell disease; Transcranial doppler ultrasound

Indexed keywords

HEMOGLOBIN S; LACTATE DEHYDROGENASE;

ADOLESCENT; ADULT; ARTICLE; BETA THALASSEMIA; BLOOD FLOW VELOCITY; BRAIN BLOOD FLOW; BRAIN OXYGEN CONSUMPTION; CHILD; CHILDHOOD DISEASE; CLINICAL ARTICLE; COGNITION; COGNITIVE DEFECT; CONTINUOUS ARTERIAL SPIN LABELLING; DISEASE SEVERITY; DOPPLER ECHOGRAPHY; EXECUTIVE FUNCTION; FEMALE; HEMOGLOBIN BLOOD LEVEL; HUMAN; INTELLIGENCE; LACTATE DEHYDROGENASE BLOOD LEVEL; LEUKOCYTE COUNT; MALE; MEDICAL RECORD REVIEW; MIDDLE CEREBRAL ARTERY; NEUROLOGIC EXAMINATION; NUCLEAR MAGNETIC RESONANCE IMAGING; PLANNING; PRIORITY JOURNAL; RETICULOCYTE; SCHOOL CHILD; SHORT TERM MEMORY; SICKLE CELL ANEMIA; SILENT MYOCARDIAL INFARCTION; SPIN LABELING; VERBAL MEMORY; VISUOMOTOR COORDINATION; WORKING MEMORY;

ADOLESCENT; ANEMIA, SICKLE CELL; BIOLOGICAL MARKERS; BLOOD FLOW VELOCITY; BRAIN; CHILD; COGNITION DISORDERS; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MEMORY DISORDERS; MEMORY, SHORT-TERM; NETHERLANDS; REGRESSION ANALYSIS; SEVERITY OF ILLNESS INDEX; ULTRASONOGRAPHY, DOPPLER, TRANSCRANIAL;

EID: 79958799593     PISSN: 15455009     EISSN: 15455017     Source Type: Journal    
DOI: 10.1002/pbc.22892     Document Type: Article

References (34)

1. Pegelow CH, Macklin EA, Moser FG, et al. Longitudinal changes in brain magnetic resonance imaging findings in children with sickle cell disease. Blood 2002;99:3014-3018.
2. Seibert JJ, Miller SF, Kirby RS, et al. Cerebrovascular disease in symptomatic and asymptomatic patients with sickle cell anemia: Screening with duplex transcranial doppler US-Correlation with MR imaging and MR angiography. Radiology 1993;189:457-466.
3. Steen RG, Emudianughe T, Hankins GM, et al. Brain imaging findings in pediatric patients with sickle cell disease. Radiology 2003;228:216-225.
4. Wang WC, Langston JW, Steen RG, et al. Abnormalities of the central nervous system in very young children with sickle cell anemia. J Pediatr 1998;132:994-998.
5. Wang WC, Gallagher DM, Pegelow CH, et al. Multicenter comparison of magnetic resonance imaging and transcranial Doppler ultrasonography in the evaluation of the central nervous system in children with sickle cell disease. J Pediatr Hematol Oncol 2000;22:335-339.
6. Debaun MR, Derdeyn CP, McKinstry RC III. Etiology of strokes in children with sickle cell anemia. Ment Retard Dev Disabil Res Rev 2006;12:192-199.
7. Berkelhammer LD, Williamson AL, Sanford SD, et al. Neurocognitive sequelae of pediatric sickle cell disease: A review of the literature. Child Neuropsychol 2007;13:120-131.
8. Schatz J, Finke RL, Kellett JM, et al. Cognitive functioning in children with sickle cell disease: A meta-analysis. J Pediatr Psychol 2002;27:739-748.
9. Steen RG, Miles MA, Helton KJ, et al. Cognitive impairment in children with hemoglobin SS sickle cell disease: Relationship to MR imaging findings and hematocrit. AJNR Am J Neuroradiol 2003;24:382-389.
10. Steen RG, Fineberg-Buchner C, Hankins G, et al. Cognitive deficits in children with sickle cell disease. J Child Neurol 2005;20:102-107.
11. Weiskopf RB, Feiner J, Hopf H, et al. Fresh blood and aged stored blood are equally efficacious in immediately reversing anemia-induced brain oxygenation deficits in humans. Anesthesiology 2006;104:911-920.
12. Vichinsky EP, Neumayr LD, Gold JI, et al. Neuropsychological dysfunction and neuroimaging abnormalities in neurologically intact adults with sickle cell anemia. JAMA 2010;303:1823-1831.
13. Adams R, McKie V, Nichols F, et al. The use of transcranial ultrasonography to predict stroke in sickle cell disease. N Engl J Med 1992;326:605-610.
14. Van den Tweel X, Nederveen AJ, Majoie CB, et al. Cerebral blood flow measurement in children with sickle cell disease using continuous arterial spin labeling at 3.0-Tesla MRI. Stroke 2009;40:795-800.
15. Bernaudin F, Verlhac S, Freard F, et al. Multicenter prospective study of children with sickle cell disease: Radiographic and psychometric correlation. J Child Neurol 2000;15:333-343.
16. Kral MC, Brown RT, Nietert PJ, et al. Transcranial Doppler ultrasonography and neurocognitive functioning in children with sickle cell disease. Pediatrics 2003;112:324-331.
17. Kral MC, Brown RT, Connelly M, et al. Radiographic predictors of neurocognitive functioning in pediatric sickle cell disease. J Child Neurol 2006;21:37-44.
18. Sanchez CE, Schatz J, Roberts CW. Cerebral blood flow velocity and language functioning in pediatric sickle cell disease. J Int Neuropsychol Soc 2010;16:326-334.
19. Wechsler D. WISC-III Handleiding. London: The Psychological Corporation; 2002.
20. Wechsler D. WAIS-III Nederlandstalige Bewerking. Technische Handleiding. London: The Psychological Corporation; 2000.
21. Logan GD, Cowan WB. On the ability to inhibit thought and action: A theory of an act of control. Psychol Rev 1984;91:295-327.
22. Logan GD. On the ability to inhibit thought and action: A users' guide to the stop signal paradigm. In: Dagenbach D, Carr TH, editors. Inhibitory: Processes in attention, memory, and language. San Diego: Academic Press; 1994. pp. 189-239.
23. Krikorian R, Bartok J, Gay N. Tower of London procedure: A standard method and developmental data. J Clin Exp Neuropsychol 1994;16:840-850.
24. Gevins A, Cutillo B. Spatiotemporal dynamics of component processes in human working memory. Electroencephalogr Clin Neurophysiol 1993;87:128-143.
25. Jansma JM, Ramsey NF, Coppola R, et al. Specific versus nonspecific brain activity in a parametric N-back task. NeuroImage 2000;12:688-697.
26. Leeuwen Mv, Berg STvd, Hoekstra R, et al. Endophenotypes for intelligence in children and adolescents. Intelligence 2007;35:369-380.
27. Beery KE. Administration, scoring, and teaching manual for the Beery-Buktenica developmental test of visual-motor integration. New Jersey: Modern Curriculum Press; 1997.
28. Field A. Discovering statistics using SPSS. London: SAGE Publications; 2005.
29. Cohen J. Statistical power analysis for the behavioral sciences. New York: Academy Press; 1988.
30. Pickett JL, Theberge DC, Brown WS, et al. Normalizing hematocrit in dialysis patients improves brain function. Am J Kidney Dis 1999;33:1122-1130.
31. Puffer E, Schatz J, Roberts CW. The association of oral hydroxyurea therapy with improved cognitive functioning in sickle cell disease. Child Neuropsychol 2007;13:142-154.
32. Stivelman JC. Benefits of anaemia treatment on cognitive function. Nephrol Dial Transplant 2000;15:29-35.
33. Schatz J, Finke R, Roberts CW. Interactions of biomedical and environmental risk factors for cognitive development: A preliminary study of sickle cell disease. J Dev Behav Pediatr 2004;25:303-310.
34. Steen RG, Xiong X, Mulhern RK, et al. Subtle brain abnormalities in children with sickle cell disease: Relationship to blood hematocrit. Ann Neurol 1999;45:279-286.