Multicenter Prospective Study of Children With Sickle Cell Disease: Radiographic and Psychometric Correlation

After obtaining familial informed consent, between January 1996 and July 1997, 173 children (5 to 15 years old) with sickle cell disease were enrolled in a prospective multicenter study using blood screening, transcranial Doppler ultrasonography (n = 143), cerebral magnetic resonance imaging (n = 14...

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Veröffentlicht in:Journal of child neurology 2000-05, Vol.15 (5), p.333-343
Hauptverfasser: Bernaudin, F., Verlhac, S., Fréard, F., Roudot-Thoraval, F., Benkerrou, M., Thuret, I., Mardini, R., Vannier, J.P., Ploix, E., Romero, M., Cassé-Perrot, C., Helly, M., Gillard, E., Sebag, G., Kchouk, H., Pracros, J.P., Finck, B., Dacher, J.N., Ickowicz, V., Raybaud, C., Poncet, M., Lesprit, E., Reinert, P.H., Brugières, P.
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container_end_page 343
container_issue 5
container_start_page 333
container_title Journal of child neurology
container_volume 15
creator Bernaudin, F.
Verlhac, S.
Fréard, F.
Roudot-Thoraval, F.
Benkerrou, M.
Thuret, I.
Mardini, R.
Vannier, J.P.
Ploix, E.
Romero, M.
Cassé-Perrot, C.
Helly, M.
Gillard, E.
Sebag, G.
Kchouk, H.
Pracros, J.P.
Finck, B.
Dacher, J.N.
Ickowicz, V.
Raybaud, C.
Poncet, M.
Lesprit, E.
Reinert, P.H.
Brugières, P.
description After obtaining familial informed consent, between January 1996 and July 1997, 173 children (5 to 15 years old) with sickle cell disease were enrolled in a prospective multicenter study using blood screening, transcranial Doppler ultrasonography (n = 143), cerebral magnetic resonance imaging (n = 144), and neuropsychologic performance evaluation (n = 156) (Wechsler Intelligence tests WISC-III, WIPPSI-R), which were also performed in 76 sibling controls (5 to 15 years old). Among the 173 patients with sickle cell disease (155 homozygous for hemoglobin SS, 8 sickle cell β0 thalassemia, 3 sickle cell β + thalassemia, 7 sickle cell hemoglobin C disease SC), 12 (6.9%) had a history of overt stroke, and the incidence of abnormal transcranial Doppler ultrasonography (defined as mean middle cerebral artery velocity > 200 cm/sec or absent) was 8.4% in the overall study population and 9.6% in patients with homozygous sickle cell anemia. The silent stroke rate was 15%. Significantly impaired cognitive functioning was observed in sickle cell disease patients with a history of stroke (Performance IQ and Full Scale IQ), but also in patients with silent strokes (Similarities, Vocabulary, and Verbal Comprehension). However, infarcts on magnetic resonance imaging were not the only factors of cognitive deficit: Verbal IQ, Performance IQ, and Full Scale IQ were strongly impaired in patients with severe chronic anemia (hematocrit ≤ 20%) and in those with thrombocytosis (platelets > 500 × 109/L). Multivariate logistic regression analysis showed that abnormal magnetic resonance imaging (odds ratio [OR] = 2.76) (P = .047), hematocrit ≤ 20% (OR = 5.85) (P = .005), and platelets > 500 × 109/L (OR = 3.99) ( P = .004) were independent factors of cognitive deficiency (Full Scale IQ < 75) in sickle cell disease patients. The unfavorable effect of low hematocrit has already been suggested, but this is the first report concerning an effect of thrombocytosis and showing that silent stroke alone is not a factor of cognitive deficit when not associated with low hematocrit or thrombocytosis. The effect of hydroxyurea, which is known to increase hematocrit and decrease platelet count, on cognitive functioning of sickle cell patients should be evaluated prospectively. (J Child Neurol 2000;15:333-343).
doi_str_mv 10.1177/088307380001500510
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Among the 173 patients with sickle cell disease (155 homozygous for hemoglobin SS, 8 sickle cell β0 thalassemia, 3 sickle cell β + thalassemia, 7 sickle cell hemoglobin C disease SC), 12 (6.9%) had a history of overt stroke, and the incidence of abnormal transcranial Doppler ultrasonography (defined as mean middle cerebral artery velocity &gt; 200 cm/sec or absent) was 8.4% in the overall study population and 9.6% in patients with homozygous sickle cell anemia. The silent stroke rate was 15%. Significantly impaired cognitive functioning was observed in sickle cell disease patients with a history of stroke (Performance IQ and Full Scale IQ), but also in patients with silent strokes (Similarities, Vocabulary, and Verbal Comprehension). However, infarcts on magnetic resonance imaging were not the only factors of cognitive deficit: Verbal IQ, Performance IQ, and Full Scale IQ were strongly impaired in patients with severe chronic anemia (hematocrit ≤ 20%) and in those with thrombocytosis (platelets &gt; 500 × 109/L). Multivariate logistic regression analysis showed that abnormal magnetic resonance imaging (odds ratio [OR] = 2.76) (P = .047), hematocrit ≤ 20% (OR = 5.85) (P = .005), and platelets &gt; 500 × 109/L (OR = 3.99) ( P = .004) were independent factors of cognitive deficiency (Full Scale IQ &lt; 75) in sickle cell disease patients. The unfavorable effect of low hematocrit has already been suggested, but this is the first report concerning an effect of thrombocytosis and showing that silent stroke alone is not a factor of cognitive deficit when not associated with low hematocrit or thrombocytosis. The effect of hydroxyurea, which is known to increase hematocrit and decrease platelet count, on cognitive functioning of sickle cell patients should be evaluated prospectively. 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Among the 173 patients with sickle cell disease (155 homozygous for hemoglobin SS, 8 sickle cell β0 thalassemia, 3 sickle cell β + thalassemia, 7 sickle cell hemoglobin C disease SC), 12 (6.9%) had a history of overt stroke, and the incidence of abnormal transcranial Doppler ultrasonography (defined as mean middle cerebral artery velocity &gt; 200 cm/sec or absent) was 8.4% in the overall study population and 9.6% in patients with homozygous sickle cell anemia. The silent stroke rate was 15%. Significantly impaired cognitive functioning was observed in sickle cell disease patients with a history of stroke (Performance IQ and Full Scale IQ), but also in patients with silent strokes (Similarities, Vocabulary, and Verbal Comprehension). However, infarcts on magnetic resonance imaging were not the only factors of cognitive deficit: Verbal IQ, Performance IQ, and Full Scale IQ were strongly impaired in patients with severe chronic anemia (hematocrit ≤ 20%) and in those with thrombocytosis (platelets &gt; 500 × 109/L). Multivariate logistic regression analysis showed that abnormal magnetic resonance imaging (odds ratio [OR] = 2.76) (P = .047), hematocrit ≤ 20% (OR = 5.85) (P = .005), and platelets &gt; 500 × 109/L (OR = 3.99) ( P = .004) were independent factors of cognitive deficiency (Full Scale IQ &lt; 75) in sickle cell disease patients. The unfavorable effect of low hematocrit has already been suggested, but this is the first report concerning an effect of thrombocytosis and showing that silent stroke alone is not a factor of cognitive deficit when not associated with low hematocrit or thrombocytosis. The effect of hydroxyurea, which is known to increase hematocrit and decrease platelet count, on cognitive functioning of sickle cell patients should be evaluated prospectively. (J Child Neurol 2000;15:333-343).</description><subject>Adolescent</subject><subject>Anemia - psychology</subject><subject>Anemia, Sickle Cell - complications</subject><subject>Anemia, Sickle Cell - psychology</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Coding</subject><subject>Cognition Disorders - etiology</subject><subject>Female</subject><subject>France</subject><subject>Hematocrit</subject><subject>Humans</subject><subject>Informed Consent</subject><subject>Intelligence</subject><subject>Intelligence Quotient</subject><subject>Intelligence Tests</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Motion</subject><subject>Multivariate Analysis</subject><subject>Neuropsychological Tests</subject><subject>Patients</subject><subject>Performance Tests</subject><subject>Platelet Count</subject><subject>Prospective Studies</subject><subject>Psychometrics</subject><subject>Reading Tests</subject><subject>Regression (Statistics)</subject><subject>Siblings</subject><subject>Socioeconomic Background</subject><subject>Stroke - diagnostic imaging</subject><subject>Stroke - etiology</subject><subject>Stroke - pathology</subject><subject>Stroke - psychology</subject><subject>Thrombocytosis - psychology</subject><subject>Ultrasonography, Doppler, Transcranial</subject><subject>Visual Measures</subject><issn>0883-0738</issn><issn>1708-8283</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqF0cFu1DAQBmALgei28AIckMWB29IZO4kdbihAqdSKioI4Ro4z6bok8WI7SPv29WorUYEEJ0vW94_HM4y9QHiDqNQpaC1BSQ0AWAKUCI_YChXotRZaPmarPVjvxRE7jvE2O13W8JQdIeSkAFix6XIZk7M0Jwr8Kvi4JZvcL-LXael33A-82bixDzTz7y5t-LWzP0biDY0jf-8imUhv-RfTO38TzHbjLDdzz6_izm78RCnki8aHQKNJzs_P2JPBjJGe358n7NvHD1-bT-uLz2fnzbuLtZW1Svv2BSLKCosBdQ-VLqmGohadtApE3ZWyKNB0lcljKJXQ1hJ2tRWqEpYGI0_Y60PdbfA_F4qpnVy0uWczk19iqxALqIriv1CgQEAUGb76A976Jcz5E60QUGQFMiNxQDYPMgYa2m1wkwm7FqHdr6z9e2U59PK-8tJN1D-IHHaUwekBRHNDv5_9R8k7brucrA</recordid><startdate>20000501</startdate><enddate>20000501</enddate><creator>Bernaudin, F.</creator><creator>Verlhac, S.</creator><creator>Fréard, F.</creator><creator>Roudot-Thoraval, F.</creator><creator>Benkerrou, M.</creator><creator>Thuret, I.</creator><creator>Mardini, R.</creator><creator>Vannier, J.P.</creator><creator>Ploix, E.</creator><creator>Romero, M.</creator><creator>Cassé-Perrot, C.</creator><creator>Helly, M.</creator><creator>Gillard, E.</creator><creator>Sebag, G.</creator><creator>Kchouk, H.</creator><creator>Pracros, J.P.</creator><creator>Finck, B.</creator><creator>Dacher, J.N.</creator><creator>Ickowicz, V.</creator><creator>Raybaud, C.</creator><creator>Poncet, M.</creator><creator>Lesprit, E.</creator><creator>Reinert, P.H.</creator><creator>Brugières, P.</creator><general>Sage Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88B</scope><scope>88E</scope><scope>88G</scope><scope>8A4</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FQ</scope><scope>8FV</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>M0P</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M3G</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7TK</scope><scope>7X8</scope></search><sort><creationdate>20000501</creationdate><title>Multicenter Prospective Study of Children With Sickle Cell Disease: Radiographic and Psychometric Correlation</title><author>Bernaudin, F. ; Verlhac, S. ; Fréard, F. ; Roudot-Thoraval, F. ; Benkerrou, M. ; Thuret, I. ; Mardini, R. ; Vannier, J.P. ; Ploix, E. ; Romero, M. ; Cassé-Perrot, C. ; Helly, M. ; Gillard, E. ; Sebag, G. ; Kchouk, H. ; Pracros, J.P. ; Finck, B. ; Dacher, J.N. ; Ickowicz, V. ; Raybaud, C. ; Poncet, M. ; Lesprit, E. ; Reinert, P.H. ; Brugières, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-82821113614f18d0685e90492b3c7029b53441ab6a1775728cce1b9c2762cefa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Adolescent</topic><topic>Anemia - psychology</topic><topic>Anemia, Sickle Cell - complications</topic><topic>Anemia, Sickle Cell - psychology</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Coding</topic><topic>Cognition Disorders - etiology</topic><topic>Female</topic><topic>France</topic><topic>Hematocrit</topic><topic>Humans</topic><topic>Informed Consent</topic><topic>Intelligence</topic><topic>Intelligence Quotient</topic><topic>Intelligence Tests</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Motion</topic><topic>Multivariate Analysis</topic><topic>Neuropsychological Tests</topic><topic>Patients</topic><topic>Performance Tests</topic><topic>Platelet Count</topic><topic>Prospective Studies</topic><topic>Psychometrics</topic><topic>Reading Tests</topic><topic>Regression (Statistics)</topic><topic>Siblings</topic><topic>Socioeconomic Background</topic><topic>Stroke - diagnostic imaging</topic><topic>Stroke - etiology</topic><topic>Stroke - pathology</topic><topic>Stroke - psychology</topic><topic>Thrombocytosis - psychology</topic><topic>Ultrasonography, Doppler, Transcranial</topic><topic>Visual Measures</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bernaudin, F.</creatorcontrib><creatorcontrib>Verlhac, S.</creatorcontrib><creatorcontrib>Fréard, F.</creatorcontrib><creatorcontrib>Roudot-Thoraval, F.</creatorcontrib><creatorcontrib>Benkerrou, M.</creatorcontrib><creatorcontrib>Thuret, I.</creatorcontrib><creatorcontrib>Mardini, R.</creatorcontrib><creatorcontrib>Vannier, J.P.</creatorcontrib><creatorcontrib>Ploix, E.</creatorcontrib><creatorcontrib>Romero, M.</creatorcontrib><creatorcontrib>Cassé-Perrot, C.</creatorcontrib><creatorcontrib>Helly, M.</creatorcontrib><creatorcontrib>Gillard, E.</creatorcontrib><creatorcontrib>Sebag, G.</creatorcontrib><creatorcontrib>Kchouk, H.</creatorcontrib><creatorcontrib>Pracros, J.P.</creatorcontrib><creatorcontrib>Finck, B.</creatorcontrib><creatorcontrib>Dacher, J.N.</creatorcontrib><creatorcontrib>Ickowicz, V.</creatorcontrib><creatorcontrib>Raybaud, C.</creatorcontrib><creatorcontrib>Poncet, M.</creatorcontrib><creatorcontrib>Lesprit, E.</creatorcontrib><creatorcontrib>Reinert, P.H.</creatorcontrib><creatorcontrib>Brugières, P.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; 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Medical Complete (Alumni)</collection><collection>Education Database (ProQuest)</collection><collection>Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>CBCA Reference &amp; Current Events</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Neurosciences Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of child neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bernaudin, F.</au><au>Verlhac, S.</au><au>Fréard, F.</au><au>Roudot-Thoraval, F.</au><au>Benkerrou, M.</au><au>Thuret, I.</au><au>Mardini, R.</au><au>Vannier, J.P.</au><au>Ploix, E.</au><au>Romero, M.</au><au>Cassé-Perrot, C.</au><au>Helly, M.</au><au>Gillard, E.</au><au>Sebag, G.</au><au>Kchouk, H.</au><au>Pracros, J.P.</au><au>Finck, B.</au><au>Dacher, J.N.</au><au>Ickowicz, V.</au><au>Raybaud, C.</au><au>Poncet, M.</au><au>Lesprit, E.</au><au>Reinert, P.H.</au><au>Brugières, P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multicenter Prospective Study of Children With Sickle Cell Disease: Radiographic and Psychometric Correlation</atitle><jtitle>Journal of child neurology</jtitle><addtitle>J Child Neurol</addtitle><date>2000-05-01</date><risdate>2000</risdate><volume>15</volume><issue>5</issue><spage>333</spage><epage>343</epage><pages>333-343</pages><issn>0883-0738</issn><eissn>1708-8283</eissn><coden>JOCNEE</coden><abstract>After obtaining familial informed consent, between January 1996 and July 1997, 173 children (5 to 15 years old) with sickle cell disease were enrolled in a prospective multicenter study using blood screening, transcranial Doppler ultrasonography (n = 143), cerebral magnetic resonance imaging (n = 144), and neuropsychologic performance evaluation (n = 156) (Wechsler Intelligence tests WISC-III, WIPPSI-R), which were also performed in 76 sibling controls (5 to 15 years old). Among the 173 patients with sickle cell disease (155 homozygous for hemoglobin SS, 8 sickle cell β0 thalassemia, 3 sickle cell β + thalassemia, 7 sickle cell hemoglobin C disease SC), 12 (6.9%) had a history of overt stroke, and the incidence of abnormal transcranial Doppler ultrasonography (defined as mean middle cerebral artery velocity &gt; 200 cm/sec or absent) was 8.4% in the overall study population and 9.6% in patients with homozygous sickle cell anemia. The silent stroke rate was 15%. Significantly impaired cognitive functioning was observed in sickle cell disease patients with a history of stroke (Performance IQ and Full Scale IQ), but also in patients with silent strokes (Similarities, Vocabulary, and Verbal Comprehension). However, infarcts on magnetic resonance imaging were not the only factors of cognitive deficit: Verbal IQ, Performance IQ, and Full Scale IQ were strongly impaired in patients with severe chronic anemia (hematocrit ≤ 20%) and in those with thrombocytosis (platelets &gt; 500 × 109/L). Multivariate logistic regression analysis showed that abnormal magnetic resonance imaging (odds ratio [OR] = 2.76) (P = .047), hematocrit ≤ 20% (OR = 5.85) (P = .005), and platelets &gt; 500 × 109/L (OR = 3.99) ( P = .004) were independent factors of cognitive deficiency (Full Scale IQ &lt; 75) in sickle cell disease patients. The unfavorable effect of low hematocrit has already been suggested, but this is the first report concerning an effect of thrombocytosis and showing that silent stroke alone is not a factor of cognitive deficit when not associated with low hematocrit or thrombocytosis. The effect of hydroxyurea, which is known to increase hematocrit and decrease platelet count, on cognitive functioning of sickle cell patients should be evaluated prospectively. (J Child Neurol 2000;15:333-343).</abstract><cop>Thousand Oaks, CA</cop><pub>Sage Publications</pub><pmid>10830200</pmid><doi>10.1177/088307380001500510</doi><tpages>11</tpages></addata></record>
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identifier ISSN: 0883-0738
ispartof Journal of child neurology, 2000-05, Vol.15 (5), p.333-343
issn 0883-0738
1708-8283
language eng
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source MEDLINE; SAGE Complete
subjects Adolescent
Anemia - psychology
Anemia, Sickle Cell - complications
Anemia, Sickle Cell - psychology
Child
Child, Preschool
Coding
Cognition Disorders - etiology
Female
France
Hematocrit
Humans
Informed Consent
Intelligence
Intelligence Quotient
Intelligence Tests
Magnetic Resonance Imaging
Male
Motion
Multivariate Analysis
Neuropsychological Tests
Patients
Performance Tests
Platelet Count
Prospective Studies
Psychometrics
Reading Tests
Regression (Statistics)
Siblings
Socioeconomic Background
Stroke - diagnostic imaging
Stroke - etiology
Stroke - pathology
Stroke - psychology
Thrombocytosis - psychology
Ultrasonography, Doppler, Transcranial
Visual Measures
title Multicenter Prospective Study of Children With Sickle Cell Disease: Radiographic and Psychometric Correlation
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