TY - JOUR
T1 - Incidence and risk factors of acute encephalopathy with biphasic seizures in febrile status epilepticus
AU - Ichinose, Fumio
AU - Nakamura, Takuji
AU - Kira, Ryutaro
AU - Furuno, Kenji
AU - Ishii, Shigeki
AU - Takamura, Kazunari
AU - Hashiguchi, Marina
AU - Inoue, Takushi
AU - Senju, Ayako
AU - Ichimiya, Yuko
AU - Sakakibara, Takafumi
AU - Sugiyama, Nobuyoshi
AU - Naitou, Tomomi
AU - Higuchi, Naoya
AU - Togawa, Masami
AU - Torii, Ken ichi
AU - Toda, Soichiro
AU - Iwamatsu, Hiroko
AU - Sato, Tatsuharu
AU - Tsurui, Satoshi
AU - Tanaka, Hidenori
AU - Motobayashi, Mitsuo
AU - Abe, Akiko
AU - Kawaguchi, Atsushi
AU - Matsuo, Muneaki
N1 - Funding Information:
The authors are grateful to Mrs. Yuka Nanri for her assistance, and to the Collaborative Research Supporting Committee of the Japanese Society of Child Neurology for promoting this study. We wish to thank all the pediatricians for providing us with their patients’ data, and the patients and their parents for participating this study. We thank Nia Cason, PhD, from Edanz Group (https://en-author-services.edanzgroup.com/ac) for editing a draft of this manuscript.
Funding Information:
Study funding: This work was supported by scholarship grants for M. Matsuo from Otsuka Pharmaceutical Co., Ltd. and Shionogi & Co., Ltd. The other authors declare no competing interests.
Publisher Copyright:
© 2021 The Japanese Society of Child Neurology
PY - 2022/1
Y1 - 2022/1
N2 - Objective: To clarify the incidence and risk factors of acute encephalopathy with biphasic seizures and late reduced diffusion (AESD) in pediatric patients with febrile status epilepticus (FSE). Methods: We retrospectively surveyed patients with FSE (≥20 min and ≥40 min) who were younger than 6 years by mailing a questionnaire to 1123 hospitals in Japan. The survey period was 2 years. We then collected clinical data on patients with prolonged febrile seizures (PFS) ≥40 min and those with AESD, and compared clinical data between the PFS and AESD groups. Results: The response rate for the primary survey was 42.3%, and 28.0% of hospitals which had applicable cases responded in the secondary survey. The incidence of AESD was 4.3% in patients with FSE ≥20 min and 7.1% in those with FSE ≥40 min. In the second survey, a total of 548 patients had FSE ≥40 min (AESD group, n = 93; PFS group, n = 455). Univariate analysis revealed significant between-group differences in pH, aspartate aminotransferase, alanine aminotransferase, lactate dehydrogenase, creatine kinase, NH3, procalcitonin (PCT), uric acid, blood urea nitrogen, creatinine (Cr), and lactate. Multivariate analysis using stratified values showed that high PCT was an only risk factor for AESD. A prediction score of ≥3 was indicative of AESD, as determined using the following indexes: HCO3− < 20 mmol/L (1 point), Cl <100 mEq/L (1 point), Cr ≥0.35 mg/dL (1 point), glucose ≥200 mg/dL (1 point), and PCT ≥1.7 pg/mL (2 points). The scoring system had sensitivity of 84.2% and specificity of 81.0%. Conclusion: Incidence data and prediction scores for AESD will be useful for future intervention trials for AESD.
AB - Objective: To clarify the incidence and risk factors of acute encephalopathy with biphasic seizures and late reduced diffusion (AESD) in pediatric patients with febrile status epilepticus (FSE). Methods: We retrospectively surveyed patients with FSE (≥20 min and ≥40 min) who were younger than 6 years by mailing a questionnaire to 1123 hospitals in Japan. The survey period was 2 years. We then collected clinical data on patients with prolonged febrile seizures (PFS) ≥40 min and those with AESD, and compared clinical data between the PFS and AESD groups. Results: The response rate for the primary survey was 42.3%, and 28.0% of hospitals which had applicable cases responded in the secondary survey. The incidence of AESD was 4.3% in patients with FSE ≥20 min and 7.1% in those with FSE ≥40 min. In the second survey, a total of 548 patients had FSE ≥40 min (AESD group, n = 93; PFS group, n = 455). Univariate analysis revealed significant between-group differences in pH, aspartate aminotransferase, alanine aminotransferase, lactate dehydrogenase, creatine kinase, NH3, procalcitonin (PCT), uric acid, blood urea nitrogen, creatinine (Cr), and lactate. Multivariate analysis using stratified values showed that high PCT was an only risk factor for AESD. A prediction score of ≥3 was indicative of AESD, as determined using the following indexes: HCO3− < 20 mmol/L (1 point), Cl <100 mEq/L (1 point), Cr ≥0.35 mg/dL (1 point), glucose ≥200 mg/dL (1 point), and PCT ≥1.7 pg/mL (2 points). The scoring system had sensitivity of 84.2% and specificity of 81.0%. Conclusion: Incidence data and prediction scores for AESD will be useful for future intervention trials for AESD.
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U2 - 10.1016/j.braindev.2021.07.004
DO - 10.1016/j.braindev.2021.07.004
M3 - Article
C2 - 34362595
AN - SCOPUS:85111944994
SN - 0387-7604
VL - 44
SP - 36
EP - 43
JO - Brain and Development
JF - Brain and Development
IS - 1
ER -