Browsing by Author "Yucebas, Sait Can"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    A model for acute kidney injury in severe burn patients
    (2022) Karakaya, Emre; Akdur, Aydincan; Aydogan, Cem; Turk, Emin; Sayin, Cihat Burak; Soy, Ebru Ayvazoglu; Yucebas, Sait Can; Alshalabi, Omar; Haberal, Mehmet; 0000-0002-4879-7974; 0000-0002-8726-3369; 0000-0002-8726-3369; 0000-0002-0993-9917; 0000-0002-3462-7632; 33879373; AAD-5466-2021; AAA-3068-2021; AAA-3068-2021; AAC-5566-2019; AAJ-8097-2021
    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-tolymphocyte 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. (c) 2021 Published by Elsevier Ltd.
  • No Thumbnail Available
    Item
    A New Approach To The Management Of Acute Appendicitis: Decision Tree Method
    (2022) Erkent, Murathan; Karakaya, Emre; Yucebas, Sait Can; https://orcid.org/0000-0002-3592-5092; 35152124; CAA-2756-2022
    Background: It is important to distinguish between complicated acute appendicitis (CAA) and noncomplicated acute appendicitis (NCAA) because the treatment methods are different. We aimed to create an algorithm that determines the severity of acute appendicitis (AA) without the need for imaging methods, using the decision tree method. Methods: The patients were analyzed retrospectively and divided into two groups as CAA and NCAA. Age, gender, Alvarado scores, white blood cell values (WBC), neutrophil/lymphocyte ratios (NLR), C-reactive protein value (CRP), albumin value and CRP/Albumin ratios of the patients were recorded. Results: In the algorithm we created, the most important parameter in the distinction between CAA and NCAA is CRP. NLR is predictive in patients with a CRP value of <= 107.565 mg/L, and the critical value is NLR 2.165. In pa-tients with a CRP value of >107.565 mg/L, albumin is the determinant and the critical value is 2.85 g/dL. Age, gen -der, alvarado score and CRP/albumin ratio have no significance in distinguishing between CAA and NCAA. In the statistical analysis, there were significant differences between NCAA and CAA groups in terms of age (39.56 years vs 13,675 years), gender (48.1% male vs 71.4% male), WBC (13,891.10/mL vs 11,614.76/mL), CRP (27 mg/L vs 127 mg/L), albumin (3 g/dL vs 3 g/dL) and CRP/albumin (9.50 vs. 41). Conclusion: Thanks to the algorithm we created, CAA and NCAA distinction can be made quickly. In addition, by avoiding unnecessary surgical procedures in NCAA cases, patients' quality of life can be increased and morbidity rates can be minimized.(c) 2022 Elsevier Inc. All rights reserved.