Hydrofluoric acid inhalation exposure patient severity classification Development of new criteria
Jan 16, 2025
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The study was published in the international journal Disaster Medicine and Public Health Preparedness (IF: 1.9)'.
Hydrofluoric acid is a chemical widely used in electronic manufacturing and industrial fields, and exposure to the human body can cause serious chemical damage to the eyes, skin, and respiratory tract. Using machine learning algorithms, the research team analyzed clinical data of 160 patients exposed to hydrofluoric acid from a hydrofluoric acid leak accident at a chemical plant in Gumi in 2012 and developed a revised IGSA (Stimulating Gas Syndrome) criterion'.
This criterion consists of three components: ▲ 49 years of age or older ▲ 19 or more respiratory rates per minute ▲ meeting two or more major symptoms such as difficulty breathing and chest pain (whether meeting existing IGSA standards), and meeting two or more of them is considered to have a high risk of severe illness. The research team classified the patient's condition into a high risk that requires immediate treatment, an intermediate risk to observe and treat symptoms, and a low risk that can be treated and managed outpatient. As a result of verifying the accuracy of the criteria, it was found that the prediction accuracy of the risk was about 84%, which could effectively classify the severity of patients with hydrofluoric acid exposure.
Shin Hee-joon, director of the Center for Disaster Medicine at Soonchunhyang University Bucheon Hospital (Professor of Emergency Medicine), said "This is the world's first study to develop and verify systematic screening criteria for chemical disasters using machine learning techniques based on actual patient data. In the event of an unexpected chemical disaster, it is expected to contribute to the efficient distribution of medical resources and improvement of patient survival rates."
We hope that the results of this study will become an innovative turning point in the chemical disaster response system and become a key tool in the international chemical disaster response system. Based on the results of this study, we will take the lead in developing global standards that can be applied to more diverse chemical disaster situations in the future."
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This article was translated by Naver AI translator.
