Prehospital and emergency data analysis in burn patients: Mortality predictors and response times over five years

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dc.authorid0000-0002-5629-3143
dc.authorid0000-0003-3407-1942
dc.authorid0000-0002-6320-9667
dc.authorid0000-0001-9210-914X
dc.authorid0009-0003-4486-6383
dc.authorid0000-0001-8456-8020
dc.authorid0000-0001-8002-0404
dc.authorid0000-0001-9198-2342
dc.contributor.authorBulut, Bensu
dc.contributor.authorGenç, Murat
dc.contributor.authorÖz, Medine Akkan
dc.contributor.authorYazıcı, Ramiz
dc.contributor.authorMutlu, Hüseyin
dc.contributor.authorSert, Ekrem Taha
dc.contributor.authorKokulu, Kamil
dc.contributor.authorBorazan, İsmail
dc.contributor.authorTuran, Ömer Faruk
dc.contributor.authorKahraman, Fatih Ahmet
dc.contributor.authorAy, Serden
dc.date.accessioned2025-07-23T12:20:31Z
dc.date.available2025-07-23T12:20:31Z
dc.date.issued2025
dc.departmentTıp Fakültesi
dc.description.abstractBackground: This study aimed to retrospectively examine the prehospital and emergency department processes of burn cases to evaluate process effectiveness, establish regional data, and identify factors affecting mortality in burn patients. Methods: The study included 784 burn cases treated by Ankara 112 Emergency Health Services and transferred to Ankara Bilkent City Hospital Emergency Department between January 1, 2019 and December 31, 2023. Demographic data, burn characteristics, response times of 112 emergency health services, and patient outcomes were retrospectively analyzed. Results: The mean age of the patients included in the study was 23.4+-20.7 years, with 36.7% being female. The most common type of burn was hot liquid burns (49.9%) and 73.7% of cases involved second-degree burns. The overall mortality rate was 5%. Logistic regression analysis identified advanced age (odds ratio [OR]: 1.02), presence of inhalation burns (OR: 3.33), and burn percentage as independent risk factors for mortality. Receiver operating characteristic (ROC) analysis showed that age >44 years (38.5% sensitivity, 83.8% specificity) and burn surface >16% (89.7% sensitivity, 77.5% specificity) were predictive thresholds for mortality. Conclusion: Advanced age, extensive burn surface area, residence in rural areas, and inhalation injuries are key predictors of mortality in burn patients. Enhancing prehospital emergency services, implementing community education programs, and adopting a multidisciplinary approach are critical for preventing and effectively managing burn injuries.
dc.identifier.doi10.14744/tjtes.2024.00413
dc.identifier.endpage147
dc.identifier.issn1306-696X / 1307-7945
dc.identifier.issue2
dc.identifier.pmid39963921
dc.identifier.startpage140
dc.identifier.urihttps://dx.doi.org/10.14744/tjtes.2024.00413
dc.identifier.urihttps://hdl.handle.net/20.500.12451/13541
dc.identifier.volume31
dc.identifier.wosWOS:001422004400007
dc.indekslendigikaynakPubMed
dc.indekslendigikaynakWeb of Science
dc.institutionauthorMutlu, Hüseyin
dc.institutionauthorSert, Ekrem Taha
dc.institutionauthorKokulu, Kamil
dc.institutionauthorid0000-0002-1930-3293
dc.institutionauthorid0000-0002-7208-2186
dc.institutionauthorid0000-0002-6132-0898
dc.language.isoen
dc.publisherTurkish Association of Trauma and Emergency Surgery
dc.relation.ispartofTurkish Journal of Trauma and Emergency Surgery
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBurn
dc.subjectMortality
dc.subjectPrehospital Care
dc.subjectEmergency Department
dc.subjectRisk Factors
dc.titlePrehospital and emergency data analysis in burn patients: Mortality predictors and response times over five years
dc.typeArticle

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