Literature DB >> 28349731

Serum neuron-specific enolase as an early predictor of delayed neuropsychiatric sequelae in patients with acute carbon monoxide poisoning.

Y S Cha1, H Kim1, H H Do2, H I Kim1, O H Kim1, K-C Cha1, K H Lee1, S O Hwang1.   

Abstract

Delayed onset of neuropsychiatric symptoms after apparent recovery from acute carbon monoxide (CO) poisoning has been described as delayed neuropsychiatric sequelae (DNS). To date, there have been no studies on the utility of serum neuron-specific enolase (NSE), a marker of neuronal cell damage, as a predictive marker of DNS in acute CO poisoning. This retrospective observational study was performed on adult patients with acute CO poisoning consecutively treated over a 9-month period. Serum NSE was measured after emergency department arrival, and patients were divided into two groups. The DNS group comprised patients with delayed sequelae, while the non-DNS group included patients with none of these sequelae. A total of 98 patients with acute CO poisoning were enrolled in this study. DNS developed in eight patients. The median NSE value was significantly higher in the DNS group than in the non-DNS group. There was a statistical difference between the non-DNS group and the DNS group in terms of CO exposure time, Glasgow Coma Scale (GCS), loss of consciousness, creatinine kinase, and troponin I. GCS and NSE were the early predictors of development of DNS. The area under the curve according to the receiver operating characteristic curves of GCS, serum NSE, and GCS combined with serum NSE were 0.922, 0.836, and 0.969, respectively. In conclusion, initial GCS and NSE served as early predictors of development of DNS. Also, NSE might be a useful additional parameter that could improve the prediction accuracy of initial GCS.

Entities:  

Keywords:  Carbon monoxide; complications; neurotoxicity; poisoning

Mesh:

Substances:

Year:  2017        PMID: 28349731     DOI: 10.1177/0960327117698544

Source DB:  PubMed          Journal:  Hum Exp Toxicol        ISSN: 0960-3271            Impact factor:   2.903


  7 in total

1.  Prognostic value of the myeloperoxidase index for early prediction of neurologic outcome in acute carbon monoxide poisoning.

Authors:  Joong Seok Moon; Sung Hwa Kim; Yong Sung Cha
Journal:  Clin Exp Emerg Med       Date:  2022-09-20

2.  Association between Neuron-Specific Enolase Gene Polymorphism and Delayed Encephalopathy after Acute Carbon Monoxide Poisoning.

Authors:  Linlin Xu; Xuejiao Liu; Jing Zhao; Jiao Zeng; Jiapeng Gu; Xiaoli Zhang; Fan Zhang; Yongkai Han; Wenqiang Li; Ping Zhang; Renjun Gu
Journal:  Behav Neurol       Date:  2020-10-14       Impact factor: 3.342

Review 3.  Association between Glasgow Coma Scale in Early Carbon Monoxide Poisoning and Development of Delayed Neurological Sequelae: A Meta-Analysis.

Authors:  Myeong Namgung; Jaehoon Oh; Chiwon Ahn; Chan Woong Kim; Heekyung Lee; Hyunggoo Kang
Journal:  J Pers Med       Date:  2022-04-14

4.  Risk factors for delayed encephalopathy following carbon monoxide poisoning: Importance of the period of inability to walk in the acute stage.

Authors:  Yasuhiro Suzuki
Journal:  PLoS One       Date:  2021-03-31       Impact factor: 3.240

5.  Early neuroimaging and delayed neurological sequelae in carbon monoxide poisoning: a systematic review and meta-analysis.

Authors:  Chiwon Ahn; Jaehoon Oh; Chan Woong Kim; Heekyung Lee; Tae Ho Lim; Hyunggoo Kang
Journal:  Sci Rep       Date:  2022-03-03       Impact factor: 4.379

Review 6.  Neurocognitive sequelae after carbon monoxide poisoning and hyperbaric oxygen therapy.

Authors:  Ke Ning; Yan-Yan Zhou; Ning Zhang; Xue-Jun Sun; Wen-Wu Liu; Cui-Hong Han
Journal:  Med Gas Res       Date:  2020 Jan-Mar

7.  Predictive Value of Gray-Matter-White-Matter Ratio on Brain Computed Tomography for Delayed Encephalopathy after Acute Carbon Monoxide Poisoning: A Retrospective Cohort Study.

Authors:  Shu Li Wang; Meng Mei Ma; Guang Wei Lv; Meng Zhang; Yu Sen Du; Su Li Zhang; Shun Yi Feng; Yong Li; Yuan Yuan Zhang
Journal:  Biomed Res Int       Date:  2021-05-31       Impact factor: 3.411

  7 in total

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