Pediatric stroke in an African country
Identifieur interne : 004674 ( Main/Exploration ); précédent : 004673; suivant : 004675Pediatric stroke in an African country
Auteurs : Julius Alexander Ogeng [Kenya] ; Beda O. Olabu [Kenya] ; Anne N. Mburu [Kenya] ; Simeon R. Sinkeet [Kenya]Source :
- Journal of Pediatric Neurosciences [ 1817-1745 ] ; 2010.
Abstract
The pattern of pediatric stroke displays ethnic and geographical variations. There are few reports from black Sub-Saharan Africa, although relevant data are important in prevention, clinical diagnosis, treatment and prognostication.
To describe subtypes, risk factors, localization, age and gender distribution of pediatric stroke in the black Kenyan population.
Retrospective cross-sectional study in a single regional referral and teaching hospital.
Data were analyzed by SPSS version 13.0 for Windows and presented in tables and bar and pie charts.
The study was performed at the Kenyatta National Hospital, a level-6 regional referral health facility with an annual pediatric in-patient turnover of about 40,000 patients. Files of patients aged 1 month to 18 years over a period of 5 years were analyzed for stroke subtypes, localization, risk factors, age and sex distribution. Only those files with complete information were included.
Thirty-two of the 712 stroke patients (4.5%) were pediatric. The male:female ratio was 1.7:1. Ischemic stroke comprised 56.3% (n = 18). Mean age was 7.7 years (range, 1.5–18 years). The most common sites were cortical (51%), lacunar (41%) and brain stem (8%). The most common risk factors were connective tissue disorders (28.1%), heart disease (25%), human immunodeficiency virus (9.4%) and infection (9.4%).
Pediatric stroke is not uncommon in the Kenyan population. The risk factor profile comprising connective tissue disorders and infection differs from that reported in other populations, inviting large community-based studies.
Url:
DOI: 10.4103/1817-1745.66676
PubMed: 21042501
PubMed Central: 2964794
Affiliations:
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Olabu</name><affiliation wicri:level="1"><nlm:aff id="AF0001">Department of Human Anatomy, University of Nairobi, PO Box 30197-00100, Nairobi, Kenya</nlm:aff><country xml:lang="fr">Kenya</country><wicri:regionArea>Department of Human Anatomy, University of Nairobi, PO Box 30197-00100, Nairobi</wicri:regionArea><wicri:noRegion>Nairobi</wicri:noRegion></affiliation></author><author><name sortKey="Mburu, Anne N" sort="Mburu, Anne N" uniqKey="Mburu A" first="Anne N." last="Mburu">Anne N. Mburu</name><affiliation wicri:level="1"><nlm:aff id="AF0001">Department of Human Anatomy, University of Nairobi, PO Box 30197-00100, Nairobi, Kenya</nlm:aff><country xml:lang="fr">Kenya</country><wicri:regionArea>Department of Human Anatomy, University of Nairobi, PO Box 30197-00100, Nairobi</wicri:regionArea><wicri:noRegion>Nairobi</wicri:noRegion></affiliation></author><author><name sortKey="Sinkeet, Simeon R" sort="Sinkeet, Simeon R" uniqKey="Sinkeet S" first="Simeon R." last="Sinkeet">Simeon R. 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Olabu</name><affiliation wicri:level="1"><nlm:aff id="AF0001">Department of Human Anatomy, University of Nairobi, PO Box 30197-00100, Nairobi, Kenya</nlm:aff><country xml:lang="fr">Kenya</country><wicri:regionArea>Department of Human Anatomy, University of Nairobi, PO Box 30197-00100, Nairobi</wicri:regionArea><wicri:noRegion>Nairobi</wicri:noRegion></affiliation></author><author><name sortKey="Mburu, Anne N" sort="Mburu, Anne N" uniqKey="Mburu A" first="Anne N." last="Mburu">Anne N. Mburu</name><affiliation wicri:level="1"><nlm:aff id="AF0001">Department of Human Anatomy, University of Nairobi, PO Box 30197-00100, Nairobi, Kenya</nlm:aff><country xml:lang="fr">Kenya</country><wicri:regionArea>Department of Human Anatomy, University of Nairobi, PO Box 30197-00100, Nairobi</wicri:regionArea><wicri:noRegion>Nairobi</wicri:noRegion></affiliation></author><author><name sortKey="Sinkeet, Simeon R" sort="Sinkeet, Simeon R" uniqKey="Sinkeet S" first="Simeon R." last="Sinkeet">Simeon R. Sinkeet</name><affiliation wicri:level="1"><nlm:aff id="AF0001">Department of Human Anatomy, University of Nairobi, PO Box 30197-00100, Nairobi, Kenya</nlm:aff><country xml:lang="fr">Kenya</country><wicri:regionArea>Department of Human Anatomy, University of Nairobi, PO Box 30197-00100, Nairobi</wicri:regionArea><wicri:noRegion>Nairobi</wicri:noRegion></affiliation></author></analytic><series><title level="j">Journal of Pediatric Neurosciences</title><idno type="ISSN">1817-1745</idno><idno type="eISSN">1998-3948</idno><imprint><date when="2010">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="st1"><title>Background:</title><p>The pattern of pediatric stroke displays ethnic and geographical variations. There are few reports from black Sub-Saharan Africa, although relevant data are important in prevention, clinical diagnosis, treatment and prognostication.</p></sec><sec id="st2"><title>Aim:</title><p>To describe subtypes, risk factors, localization, age and gender distribution of pediatric stroke in the black Kenyan population.</p></sec><sec id="st3"><title>Study Design and Setting:</title><p>Retrospective cross-sectional study in a single regional referral and teaching hospital.</p></sec><sec id="st4"><title>Statistical Analysis:</title><p>Data were analyzed by SPSS version 13.0 for Windows and presented in tables and bar and pie charts.</p></sec><sec id="st5"><title>Materials and Methods:</title><p>The study was performed at the Kenyatta National Hospital, a level-6 regional referral health facility with an annual pediatric in-patient turnover of about 40,000 patients. Files of patients aged 1 month to 18 years over a period of 5 years were analyzed for stroke subtypes, localization, risk factors, age and sex distribution. Only those files with complete information were included.</p></sec><sec id="st6"><title>Results:</title><p>Thirty-two of the 712 stroke patients (4.5%) were pediatric. The male:female ratio was 1.7:1. Ischemic stroke comprised 56.3% (n = 18). Mean age was 7.7 years (range, 1.5–18 years). The most common sites were cortical (51%), lacunar (41%) and brain stem (8%). The most common risk factors were connective tissue disorders (28.1%), heart disease (25%), human immunodeficiency virus (9.4%) and infection (9.4%).</p></sec><sec id="st7"><title>Conclusion:</title><p>Pediatric stroke is not uncommon in the Kenyan population. 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S">SL Spitalnik</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Fullerton, Hj" uniqKey="Fullerton H">HJ Fullerton</name></author><author><name sortKey="Elkins, Js" uniqKey="Elkins J">JS Elkins</name></author><author><name sortKey="Johnstone, Sc" uniqKey="Johnstone S">SC Johnstone</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Kenya</li></country></list><tree><country name="Kenya"><noRegion><name sortKey="Ogeng, Julius Alexander" sort="Ogeng, Julius Alexander" uniqKey="Ogeng J" first="Julius Alexander" last="Ogeng">Julius Alexander Ogeng</name></noRegion><name sortKey="Mburu, Anne N" sort="Mburu, Anne N" uniqKey="Mburu A" first="Anne N." last="Mburu">Anne N. Mburu</name><name sortKey="Olabu, Beda O" sort="Olabu, Beda O" uniqKey="Olabu B" first="Beda O." last="Olabu">Beda O. Olabu</name><name sortKey="Sinkeet, Simeon R" sort="Sinkeet, Simeon R" uniqKey="Sinkeet S" first="Simeon R." last="Sinkeet">Simeon R. Sinkeet</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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