Emre Karakaya1, Aydıncan Akdur2, Cem Aydoğan3, Emin Türk4, Cihat Burak Sayin5, Ebru Ayvazoğlu Soy6, Sait Can Yücebaş7, Omar Alshalabi8, Mehmet Haberal9. 1. Baskent University, Departmant of General Surgery, Yukarı Bahçelievler, Mareşal Fevzi Çakmak St. No:45, 06490 Çankaya, Ankara, Turkey. Electronic address: dremrekarakaya@gmail.com. 2. Baskent University, Departmant of General Surgery, Yukarı Bahçelievler, Mareşal Fevzi Çakmak St. No:45, 06490 Çankaya, Ankara, Turkey. Electronic address: aydinakdur@gmail.com. 3. Baskent University, Departmant of General Surgery, Yukarı Bahçelievler, Mareşal Fevzi Çakmak St. No:45, 06490 Çankaya, Ankara, Turkey. Electronic address: drcaydogan@gmail.com. 4. Baskent University Konya Research Center, Department of General Surgery, Hocacihan Saray St., No:1, 42080 Selçuklu, Konya, Turkey. Electronic address: dreminturk2000@yahoo.com. 5. Baskent University, Departmant of Nephrology, Yukarı Bahçelievler, Mareşal Fevzi Çakmak St. No:45, 06490 Çankaya, Ankara, Turkey. Electronic address: buraksayin@hotmail.com. 6. Baskent University, Departmant of General Surgery, Yukarı Bahçelievler, Mareşal Fevzi Çakmak St. No:45, 06490 Çankaya, Ankara, Turkey. Electronic address: ebruayvazoglu@gmail.com. 7. Canakkale Onsekiz Mart Univesity, Faculty of Engineering, Computer Engineering Department, arbaros, 17100 Kepez, Çanakkale, Turkey. Electronic address: can@comu.edu.tr. 8. Baskent University, Departmant of General Surgery, Yukarı Bahçelievler, Mareşal Fevzi Çakmak St. No:45, 06490 Çankaya, Ankara, Turkey. Electronic address: dr.omar.alshalabi@gmail.com. 9. Baskent University, Departmant of General Surgery, Yukarı Bahçelievler, Mareşal Fevzi Çakmak St. No:45, 06490 Çankaya, Ankara, Turkey. Electronic address: rectorate@baskent.edu.tr.
Abstract
INTRODUCTION: In patients with severe burns, morbidity and mortality are high. One factor related to poor prognosis is acute kidney injury. According to the AKIN criteria, acute kidney injury has 3 stages based on urine output, serum creatinine level, and renal replacement therapy. In this study, we aimed to create a decision tree for estimating risk of acute kidney injury in patients with severe burn injuries. METHODS: We retrospectively evaluated 437 adult patients with ≥20% total burn surface area injury who were treated at the Baskent University Ankara and Konya Burn Centers from January 2000 to March 2020. Patients who had high-voltage burn and previous history of kidney disease were excluded. Patient demographics, medical history, mechanism of injury, presence of inhalation injury, depth of burn, laboratory values, presence of oliguria, need for renal replacement therapy, central venous pressure, and prognosis were evaluated. These data were used in a "decision tree method" to create the Baskent University model to estimate risk of acute kidney injury in severe burn patients. RESULTS: Our model provided an accuracy of 71.09% for risk estimation. Of 172 patients, 78 (45%) had different degrees of acute kidney injury, with 26 of these (15.1%) receiving renal replacement therapy. Our model showed that total burn surface area was the most important factor for estimation of acute kidney injury occurrence. Other important factors included serum creatinine value, burn injury severity score, hemoglobin value, neutrophil-to-lymphocyte ratio, and platelet count. CONCLUSION: The Baskent University model for acute kidney injury may be helpful to determine risk of acute kidney injury in burn patients. This determination would allow appropriate treatment to be given to high-risk patients in the early period, reducing the incidence of acute kidney injury.
INTRODUCTION: In patients with severe burns, morbidity and mortality are high. One factor related to poor prognosis is acute kidney injury. According to the AKIN criteria, acute kidney injury has 3 stages based on urine output, serum creatinine level, and renal replacement therapy. In this study, we aimed to create a decision tree for estimating risk of acute kidney injury in patients with severe burn injuries. METHODS: We retrospectively evaluated 437 adult patients with ≥20% total burn surface area injury who were treated at the Baskent University Ankara and Konya Burn Centers from January 2000 to March 2020. Patients who had high-voltage burn and previous history of kidney disease were excluded. Patient demographics, medical history, mechanism of injury, presence of inhalation injury, depth of burn, laboratory values, presence of oliguria, need for renal replacement therapy, central venous pressure, and prognosis were evaluated. These data were used in a "decision tree method" to create the Baskent University model to estimate risk of acute kidney injury in severe burn patients. RESULTS: Our model provided an accuracy of 71.09% for risk estimation. Of 172 patients, 78 (45%) had different degrees of acute kidney injury, with 26 of these (15.1%) receiving renal replacement therapy. Our model showed that total burn surface area was the most important factor for estimation of acute kidney injury occurrence. Other important factors included serum creatinine value, burn injury severity score, hemoglobin value, neutrophil-to-lymphocyte ratio, and platelet count. CONCLUSION: The Baskent University model for acute kidney injury may be helpful to determine risk of acute kidney injury in burn patients. This determination would allow appropriate treatment to be given to high-risk patients in the early period, reducing the incidence of acute kidney injury.