Background/Aims: In this study, the analgesic effectiveness of tramadol, a synthetic opioid, was compared with paracetamol and dexketoprofen in adult patients with acute pancreatitis in the emergency department. Materials and Methods: Study drugs were similar in color and appearance, enabling the patients to be blind to the intervention. Study patients were intravenously administered 1 g paracetamol, 50 mg dexketoprofen trometamol, or 1 mg/kg tramadol with 100 mL normal saline with a 4-5 min infusion. Pain measurements of the patients were conducted at baseline and 30 min after the treatment intervention. Changes in pain scores were calculated by subtracting the median scores at baseline and 30 min as pairs. Results: In this study, 90 patients were enrolled and included in the final analysis. The study subjects had a mean age of 53.5±13.3 years and 58.9% (n=53) of them were male. Gallstones and biliary etiology for pancreatitis was documented in 73.3% (n=66) of patients. Mean VAS scores at baseline and 30 min were similar in the three groups. Similarly, the change of scores from the baseline to the 30th minute did not differ among the groups. Comparison of pain improvements failed to reveal any differences among groups. Conclusion: Intravenous paracetamol, dexketoprofen, and tramadol are not superior to each other in the management of pain caused by nontraumatic acute pancreatitis.
1 January 2014 in TURKISH JOURNAL OF MEDICAL SCIENCES
Preliminary evidence suggests that inflammation plays a role in the development and prognosis of pulmonary embolism (PE). We used the neutrophil/lymphocyte ratio (NLR) as a measure of systemic inflammation and investigated its association with PE. A total of 266 patients who were diagnosed with PE and a control group of 124 age- and sex-matched healthy subjects were included in this study. We further classified the PE patients into 2 groups: those who survived and those who died in the first 30 days. Baseline NLR was measured by dividing neutrophil count to lymphocyte count and was compared between the groups. Median NLR was significantly higher among patients with PE compared to the healthy control group (3.9 (interquartile range (IQR): 5.0) vs. 1.9 (IQR: 0.6), P < 0.001). Of the 266 patients with PE, 16 (6%) died within 1 month. Median NLR was significantly higher among PE patients who died compared to those who survived, as well (3.7 (IQR: 4.3) vs. 9.0 (IQR: 7.9), P < 0.001). The optimal cut-off values, sensitivities, and specificities of NLR for predicting PE and in-hospital mortality of PE were >2.565 and >5.465, 70.3% and 75.0%, and 92.7% and 67.6%, respectively. Multiple logistic regression analysis showed that NLR values of >5.465 could define those patients with a mortal clinical course independently (odds ratio: 13.446, 95% confidence interval: 3.141-57.566, P < 0.001).
Artificial intelligence (AI) has shown promise in generating multiple-choice questions (MCQs) for medical education, yet the psychometric quality of such items remains underexplored. This study aimed to compare the psychometric properties of MCQs created by ChatGPT-4o and those written by emergency medicine clinicians. Eighteen emergency medicine residents completed a 100-item examination comprising 50 AI-generated and 50 clinician-authored questions across core emergency medicine topics. Each item was analyzed for difficulty (P_index), discrimination (D_index), and point-biserial correlation (PBCC). Items were also categorized based on standardized index classifications. ChatGPT-4o-generated questions exhibited a higher mean difficulty index (P_index: 0.76 ± 0.23) compared to those created by clinicians (0.65 ± 0.24; p = 0.02), indicating that the AI-generated items were generally easier. Participants achieved significantly higher scores on AI-generated items (76.8 ± 8.18) than on clinician-authored questions (67.3 ± 9.65; p = 0.003). The mean discrimination index did not differ significantly between AI-generated (0.172 ± 0.23) and clinician-generated items (0.196 ± 0.26; p = 0.634). Likewise, the mean point-biserial correlation coefficient (PBCC) was nearly identical between the two groups (AI: 0.23 ± 0.28; clinicians: 0.23 ± 0.25; p = 0.99), suggesting similar internal consistency. Categorical analysis revealed that 56% of AI-generated items were classified as “easy,” compared to 36% of clinician-designed items. Furthermore, based on PBCC values, 36% of AI-generated items and 24% of clinician items were identified as “problematic” (p = 0.015), indicating a higher rate of psychometric concerns among AI-generated questions. The findings suggest that AI-generated questions, while generally easier and associated with higher participant scores, may pose psychometric limitations, as evidenced by a greater proportion of items classified as problematic. Although the overall internal consistency and discrimination indices were comparable to clinician-authored items, careful quality control and validation are essential when integrating AI-generated content into assessment frameworks.
1 March 2016 in Turkish Journal of Emergency Medicine
It has been argued in current studies that anabolic androgenic steroids (AAS) are misused by a great number of bodybuilders and athletes. However, there is diverse and often conflicting scientific data on the cardiac and metabolic complications caused by the misuse of AAS. There may be various reasons for myocardial infarction (MI) with normal coronary arteries. However, for the majority of patients, the exact cause is still unknown. A 32 year-old male who was complaining about severe chest pain was admitted to our emergency department. He had been taking methenolone acetate 200 mg weekly for a period of three years for body building. His cardiac markers were significantly elevated and electrocardiogram (ECG) showed peaked T waves in all derivations, which did not show ST elevation or depression. Both right and left coronary artery systems were found to be completely normal as a result of the angiogram. The purpose of this study is to show that AAS induced MI can be encountered with normal coronary arteries during acute coronary syndrome.
1 January 2015 in The American Journal of Emergency Medicine
Background/Aims: Acute pancreatitis (AP) is a life-threatening disease with a rising incidence. The aim of this study was to investigate the association between oxidative status, lymphocyte deoxyribonucleic acid (DNA) damage, and acute pancreatitis. Materials and Methods: A total of 45 patients with AP and 35 healthy controls were included in the study. We assessed pancreatic enzymes, oxidative stress, and lymphocyte DNA damage. The severity of AP disease was determined by the Harmless Acute Pancreatitis Score (HAPS) and Balthazar scoring systems. Results: In AP patients, lymphocyte DNA damage was significantly higher than in controls [49.84±25.48 arbitrary units (AU) vs. 28.80±13.98 AU, p<0.001]. The plasma total oxidative status (TOS) and oxidative stress index (OSI) were higher in patients than in healthy controls (10.36±5.54 vs. 8.47±2.66, p<0.05; 0.64±0.35 vs. 0.45±0.13 AU, p<0.001, respectively). The plasma total antioxidant status level in patients was lower than in healthy controls (1.66±0.19 vs. 1.86±0.18, p<0.001). Lymphocyte DNA damage was correlated with TOS, OSI, and HAPS and Balthazar scores. Conclusion: This study shows that patients with AP have higher lymphocyte DNA damage and more deteriorated oxidative status than healthy controls.