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ŞENTÜRK, HAKAN

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Author: ŞENTÜRK, HAKAN × Rights: info:eu-repo/semantics/openAccess × Subject: CLINICAL MEDICINE ×

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Now showing 1 - 4 of 4
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    Early prediction of the severe course, survival, and ICU requirements in acute pancreatitis by artificial intelligence
    (2023-01-01) İnce A. T.; Silahtaroğlu G.; Seven G.; Koçhan K.; Yıldız K.; Şentürk H.; İNCE, ALİ TÜZÜN; SEVEN, GÜLSEREN; KOÇHAN, KORAY; ŞENTÜRK, HAKAN
    AbstractObjectiveTo evaluate the success of artificial intelligence for early prediction of severe course, survival, and intensive care unit(ICU) requirement in patients with acute pancreatitis(AP).MethodsRetrospectively, 1334 patients were included the study. Severity is determined according to the Revised Atlanta Classification(RAC). The success of machine learning(ML) method was evaluated by 13 simple demographic, clinical, etiologic, and laboratory features obtained on ER admission. Additionally, it was evaluated whether Balthazar-computerized tomography severity index(CTSI) at 48-h contributed to success. The dataset was split into two parts, 90% for ML(of which 70% for learning and 30% for testing) and 10% for validation and 5-fold stratified sampling has been utilized. Variable Importance was used in the selection of features during training phase of machine. The Gradient Boost Algorithm trained the machine by KNIME analytics platform. SMOTE has been applied to increase the minority classes for training. The combined effects of the measured features were examined by multivariate logistic regression analysis and reciever operating curve curves of the prediction and confidence of the target variables were obtained.ResultsAccuracy values for the early estimation of Atlanta severity score, ICU requirement, and survival were found as 88.20%, 98.25%, and 92.77% respectively. When Balthazar-CTSI score is used, results were found as 91.02%, 92.25%, and 98% respectively.ConclusionsThe ML method we used successfully predicted the severe course, ICU requirement and survival, with promising accuracy values of over 88%. If 48-h Balthazar-CTSI is included in the calculation, the severity score and survival rates increase even more.
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    Comparison of Endoscopic Ultrasound Guided Coil Injectıon with or without cyanoacrylate injection for gastric varices
    (2022-05-23) Seven G.; Musayeva G.; Seven O. O.; Herdan E.; İnce A. T.; Şentürk H.; SEVEN, GÜLSEREN; İNCE, ALİ TÜZÜN; ŞENTÜRK, HAKAN
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    The liver-kidney axis: Is serum leptin a potential link in non-alcoholic fatty liver disease-associated chronic kidney disease?
    (2023-01-01) Canbakan M.; Bakkaloglu O. K.; Atay K.; Koroglu E.; Tuncer M. M.; CANBAKAN İ. B.; ŞENTÜRK H.; ŞENTÜRK, HAKAN
    © 2023 Pan-Arab Association of GastroenterologyBackground and study aims: Non-alcoholic fatty liver disease (NAFLD) is an independent risk factor for chronic kidney disease (CKD). Previous studies argued that leptin levels increase significantly with the progression of CKD. But the association between leptin and CKD has not been investigated in patients with NAFLD. Therefore, we conducted this study to establish whether increased leptin level is associated with CKD in NAFLD patients. Patients and methods: In our prospective study with a follow up period of six months thirty-five teetotaller biopsy-proven NAFLD patients were divided as groups with mild, versus advanced, fibrosis. Liver fibrosis was also assessed with Fibroscan. Serum leptin levels were measured by radioimmunoassay. For insulin resistance we used the homeostasis model assessment method (HOMA-IR). For the kidney function, we used the abbreviated formula Modification of Diet in Renal Disease (MDRD) formula, which estimates GFR. For statistical analysis, Student\"s-t test, Mann-Whitney test, linear regression-binary logistic regression analyses and the ROC curve analysis were used. Results: Advanced fibrosis and increased HOMA-IR were risk factors for decreased eGFR. Leptin correlated inversely with advanced fibrosis (p: 0.03) and low leptin was a risk factor for CKD (p: 0.02). In ROC curve analysis, advanced fibrosis and low leptin were risk factors for decreased eGFR (p: 0.007 and 0.004, respectively). Low leptin level was dependently associated with decreased eGFR. Conclusion: Advanced fibrosis in NAFLD patients is a risk factor for CKD. Leptin correlated inversely with advanced fibrosis. Unlike the previous studies, which were not performed in NAFLD patients, we found decreased leptin in NAFLD patients with decreased eGFR. Low leptin level was found to be a dependent predictor for differentiating NAFLD patients with high risk for CKD.