ArticleExperimental and therapeutic medicine2022
Clinical characteristics and predictors of burn complicated with smoke inhalation injury: A retrospective analysis.
Article in Experimental and therapeutic medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Serial Lactate in Clinical Medicine - A Narrative Review.Journal of intensive care medicine · 2026Review
- Ferroptosis in smoke inhalation injury: from mechanisms to potential therapeutic targets.Frontiers in cell and developmental biology · 2026Review
- Predictive Value of Systemic Immune-Inflammation Index Combined with D-Dimer Levels and Injury Severity Score for the Prognosis of Patients with Multiple Injuries: A Retrospective Analysis.Open access emergency medicine : OAEM · 2026Article
- Comprehensive review of clinical presentation, treatment, and prognostic factors of airway burns.Journal of medicine and life · 2025Review
- Evidence for Hydroxocobalamin in Cyanide Toxicity Caused by Smoke Inhalation: An Updated Systematic Review.Emergency medicine international · 2025Review
- First aid treatment and airway management for chemical burns combined with inhalation injury: A case report.Respirology case reports · 2024Article
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11 authors at 3 institutions in 1 country.
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Abstract
Fire smoke enters the human lungs through the respiratory tract. The damage to the respiratory tract and lung tissue is known as smoke inhalation injury (SII). Fire smoke can irritate airway epithelium cells, weaken endothelial cell adhesion and lyse alveolar type II epithelia cells, leading to emphysema, decreased lung function, pneumonia and risk of acute lung injury/acute respiratory distress syndrome (ARDS). The purpose of the present study was to analyze the clinical characteristics of patients with SII and the risk factors affecting their prognosis. A total of 103 patients with SII admitted between January 2016 to December 2021 to the Burns Unit of the Characteristic Medical Center of Chinese People's Armed Police Force and 983 Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army were selected for the present study. The demographics and clinical features between different severities of SII were analyzed. Univariate/multivariate logistic regression was used to analyze the potential predictors for severity, ARDS and mortality of patients with SII. Receiver operating characteristic (ROC) curves were used to screen independent risk factors and identify their prediction accuracy. It was concluded that total body surface area (TBSA), III burn area (of total %TBSA), cases of respiratory infections, ARDS morbidity, mortality, acute physiology and chronic health evaluation II, lung injury prediction score, lactic acid, white blood cells (WBC), alanine transaminase, blood urea nitrogen, serum creatinine and uric acid were indicators that were raised with increasing severity of SII. However red blood cells, hemoglobin, platelet count, total protein, albumin, and albumin/globulin were decreased with the increasing severity of SII (P<0.05). WBC >20.91 (10
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