2022
DOI: 10.1097/paf.0000000000000777
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Death After Poison Ivy Smoke Inhalation

Abstract: Urushiol, the active antigen in poison ivy (Toxicodendron radicans), is frequently associated with type I and type III hypersensitivity reactions. These reactions most often result in cutaneous symptoms that vary in severity and may at times require medical interventions. Injuries involving other body systems associated with urushiol exposure are far less common. Here, we present 2 unrelated cases of urushiol respiratory exposure status after burning of poison ivy that resulted in cardiopulmonary arrest and ul… Show more

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Cited by 3 publications
(2 citation statements)
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References 13 publications
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“…For example, smoke from fires that burn through poison oak, poison ivy, and poison sumac may contain traces of the irritant urushiol that induces a delayed-type hypersensitivity response upon inhalation. Such exposure can cause severe respiratory distress [41]. Whether wildfire smoke containing allergenic particles could directly induce respiratory allergies is not clear [2].…”
Section: Particulate Mattermentioning
confidence: 99%
“…For example, smoke from fires that burn through poison oak, poison ivy, and poison sumac may contain traces of the irritant urushiol that induces a delayed-type hypersensitivity response upon inhalation. Such exposure can cause severe respiratory distress [41]. Whether wildfire smoke containing allergenic particles could directly induce respiratory allergies is not clear [2].…”
Section: Particulate Mattermentioning
confidence: 99%
“…Gene expression analysis can also be used to study the regulation of metabolic pathways and identify the genes responsible for the production of specific metabolites [ 128 , 129 ]. Some plants contain cyanide or other poisons [ 130 , 131 , 132 , 133 , 134 , 135 , 136 , 137 , 138 , 139 , 140 , 141 , 142 , 143 , 144 , 145 , 146 , 147 ]. Machine learning-based classification algorithms can be used to classify cells of different plant species based on their metabolic profiles and predict the potential production of harmful metabolites, such as allelochemicals and cyanide.…”
Section: Does Data Science Can Help In Studying Plant Metabolites?mentioning
confidence: 99%