{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T08:21:05Z","timestamp":1773735665785,"version":"3.50.1"},"reference-count":61,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T00:00:00Z","timestamp":1651708800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Children"],"abstract":"<jats:p>Pediatric morbidity from meningitis remains considerable. Preventing complications is a major challenge to improve neurological outcome. Seizures may reveal the meningitis itself or some complications of this disease. Amplitude-integrated electroencephalography (aEEG) is gaining interest for the management of patients with acute neurological distress, beyond the neonatal age. This study aimed at evaluating the predictive value of aEEG monitoring during the acute phase in meningitis among a population of infants hospitalized in the pediatric intensive care unit (PICU), and at assessing the practicability of the technique. AEEG records of 25 infants younger than one year of age hospitalized for meningitis were retrospectively analyzed and correlated to clinical data and outcome. Recording was initiated, on average, within the first six hours for n = 18 (72%) patients, and overall quality was considered as good. Occurrence of seizure, of status epilepticus, and the background pattern were significantly associated with unfavorable neurological outcomes. AEEG may help in the management and prognostic assessment of pediatric meningitis. It is an easily achievable, reliable technique, and allows detection of subclinical seizures with minimal training. However, it is important to consider the limitations of aEEG, and combinate it with conventional EEG for the best accuracy.<\/jats:p>","DOI":"10.3390\/children9050668","type":"journal-article","created":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T13:10:26Z","timestamp":1651756226000},"page":"668","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Amplitude-Integrated EEG Monitoring in Pediatric Intensive Care: Prognostic Value in Meningitis before One Year of Age"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9456-2984","authenticated-orcid":false,"given":"Jonathan","family":"Beck","sequence":"first","affiliation":[{"name":"Department of Neonatology, Reims University Hospital Alix de Champagne, 51100 Reims, France"},{"name":"CReSTIC EA 3804 UFR Sciences Exactes et Naturelles, Campus Moulin de la Housse, Universit\u00e9 de Reims Champagne Ardenne, 51100 Reims, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7674-5672","authenticated-orcid":false,"given":"Cecile","family":"Grosjean","sequence":"additional","affiliation":[{"name":"Department of Neonatology, Reims University Hospital Alix de Champagne, 51100 Reims, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nathalie","family":"Bednarek","sequence":"additional","affiliation":[{"name":"Department of Neonatology, Reims University Hospital Alix de Champagne, 51100 Reims, France"},{"name":"CReSTIC EA 3804 UFR Sciences Exactes et Naturelles, Campus Moulin de la Housse, Universit\u00e9 de Reims Champagne Ardenne, 51100 Reims, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9536-9510","authenticated-orcid":false,"given":"Gauthier","family":"Loron","sequence":"additional","affiliation":[{"name":"Department of Neonatology, Reims University Hospital Alix de Champagne, 51100 Reims, France"},{"name":"CReSTIC EA 3804 UFR Sciences Exactes et Naturelles, Campus Moulin de la Housse, Universit\u00e9 de Reims Champagne Ardenne, 51100 Reims, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,5]]},"reference":[{"key":"ref_1","unstructured":"GBD 2017 Disease and Injury Incidence and Prevalence Collaborators (2018). 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