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Maeda K, Hosoda N, Fukumoto J, Kawai S, Hayafuji M, Tsuboi H, Fujita S, Ichino N, Osakabe K, Sugimoto K, Ishihara N. Association of Scalp High-Frequency Oscillation Detection and Characteristics With Disease Activity in Pediatric Epilepsy. J Clin Neurophysiol 2023:00004691-990000000-00106. [PMID: 37934062 DOI: 10.1097/wnp.0000000000001052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2023] Open
Abstract
INTRODUCTION High-frequency oscillation (HFO) in scalp electroencephalography is a promising new noninvasive prognostic epilepsy biomarker, but further data are needed to ascertain the utility of this parameter. The present work investigated the association between epileptic activity and scalp HFO in pediatric patients with various types of epilepsy, using multivariable regression models to correct for possible confounding factors. METHODS The authors analyzed 97 subjects who were divided into groups with active epilepsy (within 1 year of seizure), seizure-free epilepsy (>1 year without seizure), and nonepilepsy. Regarding the frequency of seizure occurrence as an indicator of epileptic activity, we categorized subjects into four groups (Daily/Weekly, Monthly, Yearly, and Rarely). RESULTS Multiple linear regression analysis showed that the scalp HFO detection rate was significantly higher in patients with active epilepsy than in those with nonepilepsy (β [95% confidence interval] = 2.77 [1.79-4.29]; P < 0.001). The association between scalp HFO detection rate and frequency of seizure occurrence was highest in the Daily/Weekly group (β [95% confidence interval] = 3.38 [1.57-7.27]; P = 0.002), followed by Monthly and Yearly groups (β [95% confidence interval] = 2.42 [1.02-5.73]; P = 0.046 and 0.36 [0.16-0.83]; P = 0.017). In addition, HFO duration, number of peaks, and number of channels detected were significantly higher in patients with active epilepsy. CONCLUSIONS Pediatric patients with active epilepsy and high frequency of seizure occurrence exhibited a higher scalp HFO detection rate. These results may help to establish HFO detectable by noninvasive scalp electroencephalography as a biomarker of active epilepsy in pediatric patients.
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Affiliation(s)
- Keisuke Maeda
- Department of Clinical Physiology, Fujita Health University School of Medical Sciences, Toyoake, Japan
| | - Nami Hosoda
- Department of Clinical Laboratory, Fujita Health University Hospital, Toyoake, Japan
| | - Junichi Fukumoto
- Department of Clinical Laboratory, Fujita Health University Hospital, Toyoake, Japan
| | - Shun Kawai
- Department of Clinical Laboratory, Fujita Health University Hospital, Toyoake, Japan
| | - Mizuki Hayafuji
- Department of Clinical Laboratory, Fujita Health University Hospital, Toyoake, Japan
| | - Himari Tsuboi
- Department of Clinical Laboratory, Fujita Health University Hospital, Toyoake, Japan
| | - Shiho Fujita
- Department of Clinical Laboratory, Fujita Health University Hospital, Toyoake, Japan
| | - Naohiro Ichino
- Department of Clinical Physiology, Fujita Health University School of Medical Sciences, Toyoake, Japan
| | - Keisuke Osakabe
- Department of Clinical Physiology, Fujita Health University School of Medical Sciences, Toyoake, Japan
| | - Keiko Sugimoto
- Department of Medical Sciences Education, Fujita Health University School of Medical Sciences, Toyoake, Japan; and
| | - Naoko Ishihara
- Department of Pediatrics, Fujita Health University School of Medicine, Toyoake, Japan
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Mieno Y, Hayashi M, Hirochi M, Ikeda A, Kako H, Ina T, Maeda Y, Maeda S, Inoue T, Souma T, Watanabe T, Horiguchi T, Gotoh Y, Niwa Y, Yamatsuta K, Morikawa S, Sakakibara Y, Okamura T, Uozu S, Goto Y, Isogai S, Fujita S, Fukumoto J, Hosoda N, Imaizumi K. Availability of Home sleep apnea test equipment LS-140 on a comparison with Polysomnography. Fujita Med J 2022; 8:17-24. [PMID: 35233343 PMCID: PMC8874914 DOI: 10.20407/fmj.2020-014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Accepted: 10/30/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The prevalence of obstructive sleep apnea (OSA) in Japan is 9% among males and 3% among females. Up to 2.5 million patients are estimated to suffer from the disease, but limited number of facilities are capable of carrying out polysomnography (PSG), leaving more than 80% of these individuals are undiagnosed. In recent years, the development of new portable sleep monitoring (PMs) devices has been remarkable. We evaluate the correlation between the results of the LS-140 PMs device (Fukuda Denshi Tech Co. Ltd.), released in 2017, and those of PSG. METHODS We obtained contemporaneous data from the same patients by equipping 58 patients with PMs (LS-140) devices while they underwent PSG. Our primary outcome was Case 2 of the intraclass correlation coefficient (ICC), i.e., the ICC (2.1). And we used a Bland-Altman analysis to compare the apnea-hypopnea index (AHI) given by PSG and the respiratory event index (REI) given by LS-140 and examined the sensitivity and specificity of the REI relative to the AHI in the diagnosis of OSA. We also carried out the same comparison but in terms of the presence or absence of periodic limb movements (PLMs). RESULTS The ICC (2.1) between The REI and the AHI was 0.944, a rather high value (p<0.0001). The mean difference between AHI and REI values was -3.6 (p<0.0001), indicating a negative fixed bias. Sensitivity may decrease in groups with PLMs. CONCLUSION The REI and the AHI are highly correlated, giving LS-140 sufficient diagnostic sensitivity and specificity to screen for OSA.
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Affiliation(s)
- Yuki Mieno
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Masamichi Hayashi
- Fujita Health University Okazaki Medical Center, Okazaki, Aichi, Japan
| | - Mariko Hirochi
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Aki Ikeda
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Hisashi Kako
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Takuma Ina
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Yuri Maeda
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Shingo Maeda
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Takahiro Inoue
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Tomohide Souma
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Toshikazu Watanabe
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Tomoya Horiguchi
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Yusuke Gotoh
- Fujita Health University Okazaki Medical Center, Okazaki, Aichi, Japan
| | - Yoshikazu Niwa
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Kumiko Yamatsuta
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Sayako Morikawa
- Fujita Health University Okazaki Medical Center, Okazaki, Aichi, Japan
| | - Yosuke Sakakibara
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Takuya Okamura
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Sakurako Uozu
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Yasuhiro Goto
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Sumito Isogai
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Shiho Fujita
- Fujita Health University Clinical Laboratory Center, Toyoake, Aichi, Japan
| | - Junichi Fukumoto
- Fujita Health University Clinical Laboratory Center, Toyoake, Aichi, Japan
| | - Nami Hosoda
- Fujita Health University Clinical Laboratory Center, Toyoake, Aichi, Japan
| | - Kazuyoshi Imaizumi
- Department of Respiratory Medicine Ⅰ, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
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