Current Classification of Burns and Management Strategies According to Depth and Etiology: A Narrative Review
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Abstract
Background: Burn injuries remain a major global health concern and are associated with significant morbidity, mortality, and long-term disability. Accurate classification of burns according to depth, total body surface area (TBSA), and etiology is essential for guiding clinical decision-making and determining appropriate management strategies.
Objective: To review current concepts in burn classification based on depth and etiology and summarize contemporary management strategies and emerging diagnostic technologies.
Methods: A narrative review of the literature was conducted focusing on studies addressing burn classification, diagnostic assessment, and treatment strategies. Key topics included depth-based classification systems, etiological categories of burn injuries, advances in burn depth assessment technologies, and current management approaches across the continuum of burn care.
Results: Burn injuries are primarily classified into superficial, superficial partial-thickness, deep partial-thickness, and full-thickness categories, each associated with distinct clinical features and healing potential. Burn severity is further determined by TBSA involvement and anatomical location, which guide triage decisions and referral to specialized burn centers. Etiological classification—including thermal, chemical, electrical, and radiation burns—plays a critical role in tailoring management strategies. Advances in imaging technologies such as laser Doppler imaging, hyperspectral imaging, and artificial intelligence–based diagnostic systems have improved the accuracy of burn depth assessment. Current treatment approaches range from conservative wound care using advanced moist dressings for superficial injuries to early excision and skin grafting for deeper burns. Emerging regenerative therapies, including tissue-engineered skin substitutes and biomaterial-based dressings, offer promising opportunities to enhance wound healing and reduce long-term complications.
Conclusion: Burn classification based on depth, TBSA, and etiology remains fundamental for guiding clinical management. While traditional clinical assessment continues to play a central role, emerging diagnostic technologies and regenerative therapies may significantly improve treatment outcomes. Continued research is necessary to integrate these innovations into standardized burn care protocols and optimize patient recovery.
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References
I. Żwierełło W, et al. Burns: Classification, Pathophysiology, and Treatment: A Review. 2023.
II. Abazari M, et al. A Systematic Review on Classification, Identification, and Healing Process of Burn Wound Healing. 2020.
III. Kiwan O, et al. Assessment of Burns and Initial Management. British Journal of Hospital Medicine. 2025.
IV. Markiewicz-Gospodarek A, et al. Burn Wound Healing: Clinical Complications, Treatment, and Dressing Types. 2022.
V. Stone R, et al. Advancements in Regenerative Strategies Through the Continuum of Burn Care. 2018.
VI. Papini R. Management of Burn Injuries of Various Depths. 2004.
VII. Lanham JS, et al. Outpatient Burn Care: Prevention and Treatment. 2020.
VIII. Cook KA, et al. Hydrogels for the Management of Second-Degree Burns. Burns & Trauma. 2022.
IX. Phelan H, et al. Histologic Algorithm for Burn Depth Categorization Based on 816 Biopsies. J Burn Care Res. 2021.
X. Rossella E, et al. Burns: Classification and Treatment. 2022.
XI. Vaughn L, et al. Severe Burn Injury and Burn Shock. J Vet Emerg Crit Care. 2012.
XII. Nguyen AM, et al. Paediatric Chemical Burns: A Clinical Review. Eur J Pediatr. 2021.
XIII. Harris ZB, et al. Imaging Technologies for Clinical Assessment of Burns. 2025.
XIV. Osman OB, et al. Deep Neural Network Classification of Burn Injuries Using Terahertz Spectral Imaging. 2022.
XV. Osman OB, et al. THz Time-Domain Spectral Imaging for Burn Classification. 2021.
XVI. Khan FA, et al. Computer-Aided Diagnosis for Burnt Skin Images Using Deep CNN. 2020.
XVII. Siu WS, et al. Advancements in Facilitation of Burn Wound Healing. 2025.
XVIII. Cretu A, et al. Strategies for Optimizing Acute Burn Wound Therapy. 2025.