The factors of family, ante- and perinatal histories in the prediction of stroke in children

Whether the type (ischemlc or hemorrhagic) of childhood stroke might be predicted from the obstetric/gynecological and perinatal history data (clinical notes from maternity hospitals, 43 indicators) of mothers and infants who had sustained hemorrhagic stroke (и=53), ischemic stroke (и=101), and tran...

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Bibliographic Details
Main Authors: O. A. Lvova, L. V. Shalkevich, A. N. Tyrsin, N. N. Kuznetsov, O. P. Kovtun
Format: Article
Language:Russian
Published: Ltd. “The National Academy of Pediatric Science and Innovation” 2016-03-01
Series:Rossijskij Vestnik Perinatologii i Pediatrii
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Online Access:https://www.ped-perinatology.ru/jour/article/view/88
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Summary:Whether the type (ischemlc or hemorrhagic) of childhood stroke might be predicted from the obstetric/gynecological and perinatal history data (clinical notes from maternity hospitals, 43 indicators) of mothers and infants who had sustained hemorrhagic stroke (и=53), ischemic stroke (и=101), and transient ischemic attack (и=44) was assessed. The patients' families were interviewed using questionnaires to clarify information about family thrombophilic and hemorrhagic predispositions, the mothers were examined for carriage of 12 prothrombotic gene polymorphisms. The study showed the specific features of maternal pregnancy and labor and an adaptation period in infants with acute cerebrovascular accident; weak correlation pairs were recorded for each type of disease (r=0,41—0,58;/> <0,05); the probability of a correct recognition from this information was low. A set of maternal obstetric/gynecological, family, thrombophilic, and hemorrhagic history data and molecular genetic examination results has led to the statement of a prognostic rule that can recognize the type of cerebrovascular disorder with a high degree of accuracy, by using 13 indicators from the mentioned data block (hemorrhagic stroke (83,3%), ischemic stroke or transient ischemic attack (95,6%)). The developed prognostic algorithm may be used to seek groups at risk for acute cerebrovascular disorder in childhood.
ISSN:1027-4065
2500-2228