Sudden unexpected deaths comprise the most important and worthy investigation case profiles in both neurology and forensic medicine. Epilepsy, which is one of the neuropathological causes of sudden unexpected deaths, is an important disorder having mysterious aspects. The aim of this study is to make common the points of view between neurology and forensic medicine experts and to discuss the features of the findings together with the related clinical hypotheses, leading to the differential diagnosis of sudden unexpected death in epilepsy (SUDEP) by presenting autopsy findings and available medical data of patients who had a prior diagnosis of epilepsy. In Istanbul, the cases of 20334 autopsied patients who were referred to The Ministry of Justice Council of Forensic Medicine between 2007 and 2011 were identified from the complete forensic autopsy data of the city and were retrospectively reviewed. Patients who had a prior diagnosis of epilepsy were included. Both descriptive and inferential statistical analyses were performed through the parameters of demographical data, physical properties, incident features, macroscopic-microscopic autopsy findings, and cause of death initially for all cases and then separately for SUDEP cases. Among the 20334 patients, 112 were determined to have a prior diagnosis of epilepsy. A possible macroscopic and/or microscopic epileptic focus was present in 23 (20.5%) of these 112 cases. The cause of death was determined to be SUDEP in 40 (35.7%) cases, while it could not be determined in 28 (25%) cases. Among patients whose death cause was considered as SUDEP, the male-to-female ratio was 1.1:1, while the mean age was 31.5±13.9 years in males and 29.6±12.9 years in females. The presence of hypertrophy and myocardial scar tissue findings in the microscopic examination were significantly more frequent among patients determined to have died from cardiovascular diseases compared to patients in the SUDEP group (p=0.001 for each finding). Besides, in 40 SUDEP cases, 38 (95%) patients underwent toxicological analysis and no antiepileptic agent was detected in 21 (55.3%) of these. It can be concluded that there is equality in gender distribution among SUDEP patients, that the young adult population has a slightly increased risk for SUDEP, and that the inconsistent use of antiepileptic medicines is a greater risk factor for SUDEP than polytherapy. Besides, it is important to emphasize that all clinical and postmortem parameters together should be considered for the differential diagnosis of SUDEP, particularly with cardiovascular diseases.

Introduction: The aim of this study was to assess the relationship between olfactory cleft width/volume and COVID-19-related anosmia. Methods: This study consisted of PCR-proven COVID-19 patients. Cases with COVID-19-related anosmia constituted Group 1 and cases without any olfactory dysfunction (OD) throughout COVID-19 infection or after recovery constituted Group 2. A total of 50 patients were included in the study, comprising 24 cases in Group 1 and 26 cases in Group 2. Group 1 patients underwent a 4-item-odor identification test during active symptoms and a Sniffin’ Sticks test after reconversion of PCR results to negative. All patients in Group 2 also underwent the Sniffin’ Stick test to document normosmia. All cases had paranasal sinus CT performed. Olfactory cleft widths and olfactory volumes were measured. The differences in width and volume between groups and the correlation with odor test scores (threshold-discrimination-identification [TDI]) were calculated. In addition, regression analyzes analysis was performed for cleft widths, volumes, and TDI scores according to age. Results: Olfactory cleft widths and olfactory volumes were significantly higher in Group 1 than those in Group 2 (p = 0.001; p < 0.01). There was a significant negative correlation between total TDI scores and olfactory cleft widths and total olfactory volumes (r = −0.665; r = −0.731, respectively). Patients younger than 40 years of age had significantly higher right olfactory cleft width, left olfactory cleft width, and olfactory cleft volume than those in patients older than 40 years of age (p = 0.004, p = 0.005, p = 0.003; p < 0,01, respectively). However, patients younger than 40 years of age had a significantly lower total TDI score and in all other values individually (t-d-i) than those in patients older than 40 years of age (p = 0.004; p < 0.01). Conclusion: Patients with COVID-19-related OD had larger olfactory cleft width and volumes than those without OD in this study. Total TDI score was found to be inversely correlated with cleft width and volume.

Objective: This study aimed to directly compare the performance of 2 successive versions of ChatGPT (ChatGPT-4o and ChatGPT-5) in answering questions from the American Board of Surgery In-Training Examination (ABSITE) Quiz. Methods: A total of 170 multiple-choice ABSITE Quiz questions (2017-2022) were categorized into 4 subgroups: Definitions, Biochemistry/Pharmaceutical, Case Scenario, and Treatment & Surgical Procedures. Each question was entered into both ChatGPT versions using the same question set. Correct answer rates were recorded, and paired comparisons were conducted using McNemar’s test. Results: Overall accuracy was 79.4% for ChatGPT-4o and 87.1% for ChatGPT-5, with the improvement statistically significant ( P < 0.001). In the Case Scenario category, accuracy increased from 76.3% to 86.8% (+10.5 points, P = 0.008), reflecting enhanced performance in multi-step clinical decision making. In contrast, Definitions (93.5% vs 93.5%) and Biochemistry/Pharmaceutical (83.3% vs 83.3%) showed no significant difference due to ceiling effects. In the Treatment & Surgical Procedures category, accuracy improved from 69.2% to 76.9%, but without statistical significance owing to the small sample size. Conclusion: ChatGPT-5 demonstrated significantly higher accuracy than ChatGPT-4o in ABSITE Quiz questions, particularly in case-based scenarios requiring clinical reasoning. These findings suggest that newer LLM versions may provide more reliable support in surgical education and exam preparation, though further validation in multimodal and real exam settings is needed.

In this study, we aimed to reveal the relationship between initial lung parenchymal involvement patterns and the subsequent need for hospitalization and/or intensive care unit admission in coronavirus disease 2019 (COVID-19) positive cases. Overall, 231 patients diagnosed with COVID-19 as proven by PCR were included in this study. Based on the duration of hospitalization, patients were divided into three groups as follows: Group 1, patients receiving outpatient treatment or requiring hospitalization <7 days; Group 2, requiring hospitalization ≥7 days; Group 3, patients requiring at least 1 day of intensive care at any time. Chest CT findings at first admission were evaluated for the following features: typical/atypical involvement of the disease, infiltration patterns (ground-glass opacities, crazy-paving pattern, consolidation), distribution and the largest diameters of the lesions, total lesion numbers, number of affected lung lobes, and affected total lung parenchyma percentages. The variability of all these findings according to the groups was analyzed statistically. In this study, 172 patients were in Group 1, 39 patients in Group 2, and 20 patients in Group 3. The findings obtained in this study indicated that there was no statistically significant difference in ground-glass opacity rates among the groups (p = 0.344). The rates of crazy-paving and consolidation patterns were significantly higher in Groups 2 and 3 than in Group 1 (p = 0.001, p = 0.002, respectively). The rate of right upper, left upper lobe, and right middle lobe involvements as consolidation pattern was significantly higher in Group 3 than in Group 1 (p = 0.148, p = 0.935, p = 0.143, respectively). A statistically significant difference was also found between the affected lobe numbers, total lesion numbers, the diameter of the largest lesion, and the affected lung parenchyma percentages between the groups (p = 0.001). The average number of impacted lobes in Group 1 was 2; 4 in Group 2 and Group 3. The mean percentage of affected lung parenchyma percentage was 25% in Group 1 and Group 2, and 50% in Group 3. In case of infiltration dominated by right middle or upper lobe involvement with a consolidation pattern, there is a higher risk of future intensive care need. Also, the need for intensive care increases as the number of affected lobes and percentage of affected parenchymal involvement increase.