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Shin W, Kim MK, Kim J, Woo MH, Cho DY, Lim KS. Post lumbar puncture headache: Case report of a serious adverse event in first-in-human study. Transl Clin Pharmacol 2017; 25:162-165. [PMID: 32095469 PMCID: PMC7033405 DOI: 10.12793/tcp.2017.25.4.162] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Revised: 11/09/2017] [Accepted: 11/11/2017] [Indexed: 01/03/2023] Open
Abstract
A lumbar puncture can be used to measure the concentrations of drugs and/or pharmacodynamic biomarkers during clinical trials of central nervous system drugs. We report a case of a post lumbar puncture headache (PLPH) in a first-in-human study, which was reported as a serious adverse event. A 20-year-old man received 200 mg of the investigational product (IP) for 7 days and underwent a lumbar puncture for cerebrospinal fluid sampling before IP administration (Day 1, pre-dose) and after 7 days and multiple IP administrations (Day 7, 1 hour post-dose). After discharge on Day 8, the subject complained of headache, nausea, vomiting, neck stiffness, and numbness of the extremities. The symptoms occurred when he got up and disappeared after he remained in the supine position for several minutes. Five days later, he visited the neurology clinic of the main hospital. The neurologist recommended hospitalization for further evaluation and symptom management, and the subject was then admitted to the hospital. There were no abnormal findings in vital signs, laboratory results, or brain-computed tomography. His symptoms disappeared during the hospitalization period. It was important to distinguish whether the headache was IP-related or lumbar puncture-related. Therefore, knowledge of clinical characteristics and differential diagnosis of PLPH is paramount. Furthermore, if severe PLPH occurs, a consultation with a neurologist and imaging studies should be considered for a differential diagnosis of PLPH.
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Affiliation(s)
- Wonsuk Shin
- Department of Clinical Pharmacology and Therapeutics, CHA Bundang Medical Center, CHA University, Seongnam 13496, Republic of Korea
| | - Min-Kyoung Kim
- Department of Clinical Pharmacology and Therapeutics, CHA Bundang Medical Center, CHA University, Seongnam 13496, Republic of Korea
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam 13496, Republic of Korea
| | - Jinkwon Kim
- Department of Neurology, CHA Bundang Medical Center, CHA University, Seongnam 13496, Republic of Korea
| | - Min-Hee Woo
- Department of Neurology, CHA Bundang Medical Center, CHA University, Seongnam 13496, Republic of Korea
| | - Doo-Yeon Cho
- Department of Clinical Pharmacology and Therapeutics, CHA Bundang Medical Center, CHA University, Seongnam 13496, Republic of Korea
| | - Kyoung Soo Lim
- Department of Clinical Pharmacology and Therapeutics, CHA Bundang Medical Center, CHA University, Seongnam 13496, Republic of Korea
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Cao Z, Lai KL, Lin CT, Chuang CH, Chou CC, Wang SJ. Exploring resting-state EEG complexity before migraine attacks. Cephalalgia 2017; 38:1296-1306. [DOI: 10.1177/0333102417733953] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Objective Entropy-based approaches to understanding the temporal dynamics of complexity have revealed novel insights into various brain activities. Herein, electroencephalogram complexity before migraine attacks was examined using an inherent fuzzy entropy approach, allowing the development of an electroencephalogram-based classification model to recognize the difference between interictal and preictal phases. Methods Forty patients with migraine without aura and 40 age-matched normal control subjects were recruited, and the resting-state electroencephalogram signals of their prefrontal and occipital areas were prospectively collected. The migraine phases were defined based on the headache diary, and the preictal phase was defined as within 72 hours before a migraine attack. Results The electroencephalogram complexity of patients in the preictal phase, which resembled that of normal control subjects, was significantly higher than that of patients in the interictal phase in the prefrontal area (FDR-adjusted p < 0.05) but not in the occipital area. The measurement of test-retest reliability (n = 8) using the intra-class correlation coefficient was good with r1 = 0.73 ( p = 0.01). Furthermore, the classification model, support vector machine, showed the highest accuracy (76 ± 4%) for classifying interictal and preictal phases using the prefrontal electroencephalogram complexity. Conclusion Entropy-based analytical methods identified enhancement or “normalization” of frontal electroencephalogram complexity during the preictal phase compared with the interictal phase. This classification model, using this complexity feature, may have the potential to provide a preictal alert to migraine without aura patients.
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Affiliation(s)
- Zehong Cao
- Center for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia
- Brain Research Center, National Chiao Tung University, Hsinchu, Taiwan
| | - Kuan-Lin Lai
- Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
- Faculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan
- Institute of Clinical Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Chin-Teng Lin
- Center for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia
- Brain Research Center, National Chiao Tung University, Hsinchu, Taiwan
| | - Chun-Hsiang Chuang
- Center for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia
- Brain Research Center, National Chiao Tung University, Hsinchu, Taiwan
| | - Chien-Chen Chou
- Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
- Faculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan
| | - Shuu-Jiun Wang
- Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
- Faculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan
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