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"Hyuk-Hoon Kim"

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Toxicology | Epidemiology

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Incidence patterns of nervous system diseases after carbon monoxide poisoning: a retrospective longitudinal study in South Korea from 2012 to 2018
Clin Exp Emerg Med. 2021;8(2):111-119.   Published online June 30, 2021
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Incidence patterns of nervous system diseases after carbon monoxide poisoning: a retrospective longitudinal study in South Korea from 2012 to 2018
Clin Exp Emerg Med. 2021;8(2):111-119.   Published online June 30, 2021
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Objective
To analyze the incidence patterns of nervous system diseases in survivors of carbon monoxide (CO) poisoning using nationwide claims data from South Korea.
Methods
A national cohort was abstracted from a database that includes patients diagnosed with CO poisoning between January 2012 and December 2018. For all nervous system diseases, we investigated the frequency, pattern of incidence, effect of intensive care unit admission, and the standardized incidence ratios (SIRs) to estimate the risk of nervous system disease after CO poisoning.
Results
Of 26,778 patients, 18,720 (69.9%) were diagnosed with nervous system diseases after CO poisoning. The most common disease was disorders of sleep initiation and maintenance (n=701, 3.74%), followed by tension-type headache (n=477, 2.55%) and anoxic brain injury (n=406, 2.17%). Over half of the nervous system diseases occurred within the first year after CO poisoning. The cumulative hazard ratio for nervous system diseases in patients admitted to the intensive care unit was 2.25 (95% confidence interval [CI], 2.07–2.44). Among the frequent nervous system diseases after CO poisoning, patients had a higher risk of disorders of initiating and maintaining sleep (SIR, 1.61; 95% CI, 1.52–1.71), tension-type headache (SIR, 2.41; 95% CI, 2.23–2.61), anoxic brain injury (SIR, 58.76; 95% CI, 53.95–63.88), and post-zoster neuralgia (SIR, 1.94; 95% CI, 1.70–2.20).
Conclusion
Patients who experience CO poisoning are at higher risk for several nervous system diseases. Therefore, monitoring for specific nervous system diseases is important after CO poisoning within the first year.

Citations

Citations to this article as recorded by  Crossref logo
  • A double-blind randomized trial of hyperbaric oxygen for persistent symptoms after brain injury
    Lindell K. Weaver, Rosemary Ziemnik, Kayla Deru, Antonietta A. Russo
    Scientific Reports.2025;[Epub]     CrossRef
  • Machine Learning–Based Prediction of Delayed Neurologic Sequelae in Carbon Monoxide Poisoning Using Automatically Extracted MR Imaging Features
    Grace Yoojin Lee, Chang Hwan Sohn, Dongwon Kim, Sang-Beom Jeon, Jihye Yun, Sungwon Ham, Yoojin Nam, Jieun Yum, Won Young Kim, Namkug Kim
    American Journal of Neuroradiology.2025; 46(12): 2645.     CrossRef
  • Characteristics and toxicity of burning smoke released from non-metallic materials of ships in a closed environment
    Jing Yang, Zhi Li, Xun Liu, Xiaomeng Ren, Jun Wu, Xinhong Xu, Xiaochen Bao, Lu Jiang, Jingjing Fang
    Journal of Hazardous Materials.2024; 480: 136109.     CrossRef
  • Long-term mortality of adult patients with carbon monoxide poisoning presenting to the emergency department in Korea: a population-based cohort study
    Sang Hwan Lee, Soo Rack Ryu, Kyung Hun Yoo, Juncheol Lee, Yongil Cho, Tae Ho Lim, Hyunggoo Kang, Jaehoon Oh, Byuk Sung Ko
    Acute and Critical Care.2024; 39(4): 526.     CrossRef
  • Prevalence of Carbon Monoxide Poisoning and Hyperbaric Oxygen Therapy in Korea: Analysis of National Claims Data in 2010–2019
    Eunah Han, Gina Yu, Hye Sun Lee, Goeun Park, Sung Phil Chung
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Predicting acute brain lesions on magnetic resonance imaging in acute carbon monoxide poisoning: a multicenter prospective observational study
    Kyung Hun Yoo, Hyunggoo Kang, Jaehoon Oh, Tae Ho Lim, Yongil Cho, Juncheol Lee, Sang Hwan Lee, Seungkyo Jung, Won Young Kim, Chang Hwan Sohn, Byuk Sung Ko
    Scientific Reports.2023;[Epub]     CrossRef
  • Level of knowledge about carbon monoxide poisoning and its prevention among students of the Medical School of the Universidad Abierta Interamericana of the city of Rosario (Argentina) in the year 2023
    Sofía Bonardi, Rodolfo Verrone
    Health Leadership and Quality of Life.2023; 2: 68.     CrossRef
  • Prevalence of Acute Myocardial and Brain Toxicity in Emergency Department Patients Exposed to Carbon Monoxide
    Carolina Zúñiga, Luisa Fabiola Pérez Moreno, Shirley Liperguer, Verónica Torres Cerino
    Open Journal of Emergency Medicine.2023; 11(04): 198.     CrossRef
  • Tips for avoiding common mistakes in out-of-hospital diagnosis of carbon monoxide poisoning
    G. Fucili, M. Brauzzi
    Journal of Anesthesia, Analgesia and Critical Care.2022;[Epub]     CrossRef
  • Carbon Monoxide Poisoning was Associated With Lifetime Suicidal Ideation: Evidence From A Population-Based Cross-Sectional Study in Hebei Province, China
    Long Sun, Keqing Li, Yunshu Zhang, Lili Zhang
    International Journal of Public Health.2022;[Epub]     CrossRef
  • Prognostic value of the myeloperoxidase index for early prediction of neurologic outcome in acute carbon monoxide poisoning
    Joong Seok Moon, Sung Hwa Kim, Yong Sung Cha
    Clinical and Experimental Emergency Medicine.2022; 9(3): 230.     CrossRef
  • Serum phosphate is not an early predictor of neurocognitive outcomes in acute carbon monoxide poisoning patients
    Yuseon Lee, Sung Hwa Kim, Yong Sung Cha
    Clinical and Experimental Emergency Medicine.2022; 10(1): 74.     CrossRef
  • 8,551 View
  • 126 Download
  • 11 Web of Science
  • 12 Crossref

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Epidemiology and regional differences of acute poisonings of eight cities in Gyeonggi-do province in Korea using data from the National Emergency Department Information System of Korea
Clin Exp Emerg Med. 2020;7(1):43-51.   Published online March 31, 2020
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Epidemiology and regional differences of acute poisonings of eight cities in Gyeonggi-do province in Korea using data from the National Emergency Department Information System of Korea
Clin Exp Emerg Med. 2020;7(1):43-51.   Published online March 31, 2020
Close
Objective
We aimed to analyze the differences in epidemiological aspects and clinical courses of acute poisonings in each region of the Gyeonggi-do province in Korea.

Methods
This retrospective study analyzed data from the National Emergency Department Information System of Korea. We retrospectively reviewed cases of acute poisonings between April 2006 and March 2015 recorded at 13 emergency departments in eight different cities of Gyeonggi-do province in Korea. The differences in the incidence, age distribution, causative agent, and clinical course of poisonings among regions were the main outcomes measured.

Results
The proportion of poisonings in the ≤9 age group was high in Yongin (17.44%) and that in ≥65 age group was high in Gwangmyeong (21.76%). The proportion of cases involving carbon monoxide was high in Ansan (8.82%) in patients hospitalized and the proportion of cases involving pesticides was high in Pyeongtaek (52.78%) in patients admitted to the intensive care unit. The admission rate of poisoned patients was high in Osan (36.02%).

Conclusion
In this study, differences in the characteristics of poisoned patients between 8 cities were noted. Therefore, hospitals need to arrange treatment resources for poisoned patients according to the characteristics of the specific region. The results of this study may serve as evidence for new strategies to prepare for the acute poisonings in hospitals.

Citations

Citations to this article as recorded by  Crossref logo
  • A four-way patient search method for the retrospective identification of poisoning patients
    Veronika Uslin, Ville Hällberg, Timo Lukkarinen, Marjo Niskanen, Teemu Koivistoinen, Ari Palomäki
    Scientific Reports.2024;[Epub]     CrossRef
  • Clinical support system for triage based on federated learning for the Korea triage and acuity scale
    Hansol Chang, Jae Yong Yu, Geun Hyeong Lee, Sejin Heo, Se Uk Lee, Sung Yeon Hwang, Hee Yoon, Won Chul Cha, Tae Gun Shin, Min Seob Sim, Ik Joon Jo, Taerim Kim
    Heliyon.2023; 9(8): e19210.     CrossRef
  • Characterization of Acute Poisoning in Hospitalized Children in Southwest China
    Zhu Li, Li Xiao, Lin Yang, Shaojun Li, Liping Tan
    Frontiers in Pediatrics.2021;[Epub]     CrossRef
  • Development of a Mobile Personal Health Record Application Designed for Emergency Care in Korea; Integrated Information from Multicenter Electronic Medical Records
    Yuri Choi, June-sung Kim, In Ho Kwon, Taerim Kim, Su Min Kim, Wonchul Cha, Jinwoo Jeong, Jae-Ho Lee
    Applied Sciences.2020; 10(19): 6711.     CrossRef
  • Frequency and Management of Acute Poisoning Among Children Attending an Emergency Department in Saudi Arabia
    Mansour Tobaiqy, Bandar A. Asiri, Ahmed H. Sholan, Yahya A. Alzahrani, Ayed A. Alkatheeri, Ahmed M. Mahha, Shamsia S. Alzahrani, Katie MacLure
    Pharmacy.2020; 8(4): 189.     CrossRef
  • 8,105 View
  • 122 Download
  • 7 Web of Science
  • 5 Crossref

Environmental

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Predictors of poor prognosis in patients with heat stroke
Clin Exp Emerg Med. 2019;6(4):345-350.   Published online December 31, 2019
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Predictors of poor prognosis in patients with heat stroke
Clin Exp Emerg Med. 2019;6(4):345-350.   Published online December 31, 2019
Close
Objective
The predictors of poor prognosis in heat stroke (HS) remain unknown. This study investigated the predictive factors of poor prognosis in patients with HS.
Methods
Data were obtained and analyzed from the health records of patients diagnosed with heat illness at Ajou university hospital between January 2008 and December 2017. Univariate and multivariate analyses were performed to identify the independent predictors of poor prognosis.
Results
Thirty-six patients (median age, 54.5 years; 33 men) were included in the study. Poor prognosis was identified in 27.8% of the study population (10 patients). The levels of S100B protein, troponin I, creatinine, alanine aminotransferase, and serum lactate were statistically significant in the univariate analysis. Multiple regression analysis revealed that poor prognosis was significantly associated with an increased S100B protein level (odds ratio, 177.37; 95% confidence interval, 2.59 to 12,143.80; P=0.016). The S100B protein cut-off level for predicting poor prognosis was 0.610 μg/L (area under the curve, 0.906; 95% confidence interval, 0.00 to 1.00), with 86% sensitivity and 86% specificity.
Conclusion
An increased S100B protein level on emergency department admission is an independent prognostic factor of poor prognosis in patients with HS. Elevation of the S100B protein level represents a potential target for specific and prompt therapies in these patients.

Citations

Citations to this article as recorded by  Crossref logo
  • Energy metabolic dysregulation in heat stroke: from mitochondrial dysfunction to multi-organ failure mechanisms and targeted intervention
    Qiqi Li, Jinquan Wang, Xiaojie Qin, Biaochao Zhong, Qiantong Wei, Chunhui Zeng, Ke Yang
    Frontiers in Pharmacology.2026;[Epub]     CrossRef
  • Cracking the code of heatstroke: new insights into diagnosis and pathological mechanisms
    Hongli Xiong, Cunhao Bian, Yue Zhao, Yu sen Wang, Bi Wei, Hao Xiao, Li Zhang, Shisheng Zhu, Jianbo Li
    International Journal of Legal Medicine.2026;[Epub]     CrossRef
  • Grey-to-white matter ratio on computed tomography for predicting neurological outcome in patients with heat stroke: a retrospective cohort study
    Hua Wei, Hongling Zhu, Menglong Liu, Xiaodan Zhu, Anyong Yu, Can Luo, Qingbo Zeng, Fating Zhou, Haizhen Duan
    Frontiers in Neurology.2025;[Epub]     CrossRef
  • Age-leukocyte-international normalized ratio score (ALIS): A bedside triparametric tool for neurological prognostication in heat stroke emergencies
    Fating Zhou, Xiaodan Zhu, Haizhen Duan, Yunfei Xiang, Siyu Yang, Wanshu Que, Rui Huang, Shanmu Ai, Yu Ma
    The American Journal of Emergency Medicine.2025; 96: 217.     CrossRef
  • Prediction of in-hospital mortality in patients with exertional heatstroke: a 13-year retrospective study
    Xinghui Wu, Jing Qian, Songbin He, Xuezhi Shi, Ronglin Chen, Huaisheng Chen, LuLu Wang, Fanfan Wang, Jiale Yang, Na Peng, Huasheng Tong
    International Journal of Environmental Health Research.2024; 34(6): 2451.     CrossRef
  • How can heatstroke damage the brain? A mini review
    Kazuhiro Yoneda, Sanae Hosomi, Hiroshi Ito, Yuki Togami, Sayaka Oda, Hisatake Matsumoto, Junya Shimazaki, Hiroshi Ogura, Jun Oda
    Frontiers in Neuroscience.2024;[Epub]     CrossRef
  • Biomarkers of heatstroke‐induced organ injury and repair
    Zachary J. Schlader, Michael S. Davis, Abderrezak Bouchama
    Experimental Physiology.2022; 107(10): 1159.     CrossRef
  • Targeted temperature management in patients with severe heatstroke
    Yoon Seok Jung, Hyuk-Hoon Kim, Hee Won Yang, Sangchun Choi
    Medicine.2020; 99(45): e23159.     CrossRef
  • 9,150 View
  • 140 Download
  • 10 Web of Science
  • 8 Crossref

Resuscitation

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Pilot study on a rewarming rate of 0.15°C/hr versus 0.25°C/hr and outcomes in post cardiac arrest patients
Clin Exp Emerg Med. 2019;6(1):25-30.   Published online February 20, 2019
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Pilot study on a rewarming rate of 0.15°C/hr versus 0.25°C/hr and outcomes in post cardiac arrest patients
Clin Exp Emerg Med. 2019;6(1):25-30.   Published online February 20, 2019
Close
Objective
Cerebral hemodynamic and metabolic changes may occur during the rewarming phase of targeted temperature management in post cardiac arrest patients. Yet, studies on different rewarming rates and patient outcomes are limited. This study aimed to investigate post cardiac arrest patients who were rewarmed with different rewarming rates after 24 hours of hypothermia and the association of these rates to the neurologic outcomes.
Methods
This study retrospectively investigated post cardiac arrest patients treated with targeted temperature management and rewarmed with rewarming rates of 0.15°C/hr and 0.25°C/hr. The association of the rewarming rate with poor neurologic outcomes (cerebral performance category score, 3 to 5) was investigated.
Results
A total of 71 patients were analyzed (0.15°C/hr, n=36; 0.25°C/hr, n=35). In the comparison between 0.15°C/hr and 0.25°C/hr, the poor neurologic outcome did not significantly differ (24 [66.7%] vs. 25 [71.4%], respectively; P=0.66). In the multivariate analysis, the rewarming rate of 0.15°C/hr was not associated with the 1-month neurologic outcome improvement (odds ratio, 0.54; 95% confidence interval, 0.16 to 1.69; P=0.28).
Conclusion
The rewarming rates of 0.15°C/hr and 0.25°C/hr were not associated with the neurologic outcome difference in post cardiac arrest patients.

Citations

Citations to this article as recorded by  Crossref logo
  • Association Between Rewarming Rate and Survival and Neurologic Outcome of Accidental Hypothermia
    Chiaki Hara, Takuya Taira, Akihiko Inoue, Takeshi Nishimura, Shota Kikuta, Nobuhiro Yamamoto, Shinichi Ijuin, Shuhei Takauji, Mineji Hayakawa, Satoshi Ishihara
    Critical Care Medicine.2025; 53(7): e1416.     CrossRef
  • Temperature Control After Cardiac Arrest: A Narrative Review
    Samantha Fernandez Hernandez, Brooke Barlow, Vera Pertsovskaya, Carolina B. Maciel
    Advances in Therapy.2023; 40(5): 2097.     CrossRef
  • Rapid rewarming rate associated with favorable neurological outcomes in patients with post–cardiac arrest syndrome patients treated with targeted temperature management
    Masaru Shin, Motoki Fujita, Toru Hifumi, Yasutaka Koga, Takeshi Yagi, Takashi Nakahara, Masaki Todani, Kotaro Kaneda, Ryosuke Tsuruta
    Acute Medicine & Surgery.2023;[Epub]     CrossRef
  • Targeted Temperature Management After Cardiac Arrest
    Nicole Kupchik
    Critical Care Nursing Clinics of North America.2021; 33(3): 303.     CrossRef
  • Impact of rewarming rate on interleukin-6 levels in patients with shockable cardiac arrest receiving targeted temperature management at 33 °C: the ISOCRATE pilot randomized controlled trial
    Jean-Baptiste Lascarrou, Elie Guichard, Jean Reignier, Amélie Le Gouge, Caroline Pouplet, Stéphanie Martin, Jean-Claude Lacherade, Gwenhael Colin, M. Azais, K. Bachoumas, A. Bailly, L. Camous, G. Colin, L. Crosby, M. Fiancette, M. Henry Lagarrigue, J. C.
    Critical Care.2021;[Epub]     CrossRef
  • Rewarming: The neglected phase of targeted temperature management
    Niklas Nielsen, Hans Kirkegaard
    Resuscitation.2020; 146: 249.     CrossRef
  • High Quality Targeted Temperature Management (TTM) After Cardiac Arrest
    Fabio Silvio Taccone, Edoardo Picetti, Jean-Louis Vincent
    Critical Care.2020;[Epub]     CrossRef
  • Resuscitating the Globally Ischemic Brain: TTM and Beyond
    Melika Hosseini, Robert H. Wilson, Christian Crouzet, Arya Amirhekmat, Kevin S. Wei, Yama Akbari
    Neurotherapeutics.2020; 17(2): 539.     CrossRef
  • A practical approach to the use of targeted temperature management after cardiac arrest
    Filippo Annoni, Katia Donadello, Leda Nobile, Fabio S. Taccone
    Minerva Anestesiologica.2020;[Epub]     CrossRef
  • 15,417 View
  • 132 Download
  • 10 Web of Science
  • 9 Crossref