2023
DOI: 10.1097/pec.0000000000002927
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Clinical and Laboratory Characteristics Predicting the Severity of Carbon Monoxide Poisoning in Children

Abstract: Objectives: Carbon monoxide poisoning (COP) is extremely common throughout the world. The purpose of this study was to assess the demographic, clinical, and laboratory characteristics predicting the severity COP in children. Methods:The study included 380 children diagnosed with COP between January 2017 and January 2021 and 380 healthy controls. Carbon monoxide poisoning was diagnosed based on the medical history and a carboxyhemoglobin (COHb) level of more than 5%. The patients were classified as mild (COHb 1… Show more

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Cited by 3 publications
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“…We have read with great interest the article titled “Clinical and Laboratory Characteristics Predicting the Severity of Carbon Monoxide Poisoning in Children: A Single-Center Retrospective Study” by Guven et al 1 The study aimed to investigate the prognostic value of various demographic, clinical, and laboratory parameters in predicting the severity of carbon monoxide poisoning (COP) in children and determine whether peripheral complete blood cell count scores could reliably predict COP severity during the acute phase. The study identified that an MPV cutoff point of 8.56 was optimal for predicting mild versus severe COP with a sensitivity of 73.8%, specificity of 49.5%, and an area under the curve (AUC) of 0.659 ( P < 0.05).…”
mentioning
confidence: 99%
“…We have read with great interest the article titled “Clinical and Laboratory Characteristics Predicting the Severity of Carbon Monoxide Poisoning in Children: A Single-Center Retrospective Study” by Guven et al 1 The study aimed to investigate the prognostic value of various demographic, clinical, and laboratory parameters in predicting the severity of carbon monoxide poisoning (COP) in children and determine whether peripheral complete blood cell count scores could reliably predict COP severity during the acute phase. The study identified that an MPV cutoff point of 8.56 was optimal for predicting mild versus severe COP with a sensitivity of 73.8%, specificity of 49.5%, and an area under the curve (AUC) of 0.659 ( P < 0.05).…”
mentioning
confidence: 99%