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Background Potentially inappropriate medications (PIMs) are prevalent in older adults with dementia and subsequent falls or fall-related injuries. The present study determined the risk of falls or fall-related injuries associated with PIM use in older adults with dementia. Methods The National Health Insurance Service-Elderly Cohort Database 2.0 (NHIS-ECDB 2.0) was used for this self-controlled case series (SCCS) study. This study included 1430 participants who went through exposure and non-exposure periods of PIM application among patients with dementia and experienced outcome events of falls or fall-related injuries between January 2016 and December 2019. The incidence of falls or fall-related injuries during the exposure and post-exposure periods was compared with that during the non-exposure period. Beers Criteria were used to define PIMs in patients with dementia. Negative binomial regression was conducted. The incidence rate ratio (IRR) was used to determine the risk of falls or fall-related injuries. Results During the exposure periods in which falls or fall-related injuries occurred, the mean number of PIMs among patients with dementia was 3.76 (SD = 2.99), and the most commonly used PIMs among patients with dementia were first-generation antihistamines ( n  = 283; 59.1%). Compared to the non-exposure period, the adjusted IRR during the exposure period was 1.57 (95% CI = 1.39–1.76). The risk of falls or fall-related injuries was increased when PIM use in patients with dementia was initiated (1–14 days: IRR = 2.76, 95% CI = 2.31–3.28; 15–28 days: IRR = 1.95, 95% CI = 1.48–2.56; ≥ 29 days: IRR = 1.17, 95% CI = 1.01–1.35). Especially, an increased risk of falls or fall-related injuries was associated with greater PIM use among patients with dementia. Conclusion Among older adults with dementia, PIMs significantly increase the risk of falls and fall-related injuries. Therefore, strategies should be developed to manage PIM prescriptions in patients with dementia to prevent falls.

Despite the potential of large language models for radiology training, their ability to handle image-based radiological questions remains poorly understood. This study aimed to evaluate the performance of the GPT-4 Turbo and GPT-4o in radiology resident examinations, to analyze differences across question types, and to compare their results with those of residents at different levels. A total of 776 multiple-choice questions from the Korean Society of Radiology In-Training Examinations were used, forming two question sets: one originally written in Korean and the other translated into English. We evaluated the performance of GPT-4 Turbo (gpt-4-turbo-2024-04-09) and GPT-4o (gpt-4o-2024-11-20) on these questions with the temperature set to zero, determining the accuracy based on the majority vote from five independent trials. We analyzed their results using the question type (text-only vs. image-based) and benchmarked them against nationwide radiology residents' performance. The impact of the input language (Korean or English) on model performance was examined. GPT-4o outperformed GPT-4 Turbo for both image-based (48.2% vs. 41.8%, = 0.002) and text-only questions (77.9% vs. 69.0%, = 0.031). On image-based questions, GPT-4 Turbo and GPT-4o showed comparable performance to that of 1st-year residents (41.8% and 48.2%, respectively, vs. 43.3%, = 0.608 and 0.079, respectively) but lower performance than that of 2nd- to 4th-year residents (vs. 56.0%-63.9%, all ≤ 0.005). For text-only questions, GPT-4 Turbo and GPT-4o performed better than residents across all years (69.0% and 77.9%, respectively, vs. 44.7%-57.5%, all ≤ 0.039). Performance on the English- and Korean-version questions showed no significant differences for either model (all ≥ 0.275). GPT-4o outperformed the GPT-4 Turbo in all question types. On image-based questions, both models' performance matched that of 1st-year residents but was lower than that of higher-year residents. Both models demonstrated superior performance compared to residents for text-only questions. The models showed consistent performances across English and Korean inputs.

Background/Aims: Point mutations in the 23S ribosomal RNA gene have been associated with Helicobacter pylori (H. pylori) clarithromycin resistance and bismuth-based quadruple therapy (BQT) is one of the options for the treatment of clarithromycin-resistant H. pylori. Current H. pylori treatment guidelines recommend BQT for 10–14 days. This study aims to compare the eradication extents according to 7-day and 14-day BQT treatment for treatment-naïve clarithromycin-resistant confirmed H. pylori infection. Methods: We retrospectively investigated treatment-naïve H. pylori infection cases from March 2019 to December 2020, where patients were treated with BQT. Clarithromycin resistance was identified with a dual-priming oligonucleotide-based multiplex polymerase chain reaction method. We reviewed a total of 126 cases. Fifty-three subjects were treated with a 7-day BQT regimen (7-day group), and 73 subjects were treated with a 14-day BQT regimen (14-day group). We evaluated the total eradication extent of the BQT and compared the eradication extents of the two study groups. Results: Total eradication extent of H. pylori was 83.3% (105/126). The eradication extents of the two groups were as follows: 7-day group (81.1% (43/53)), 14-day group (84.9% (62/73), p = 0.572) by intention-to-treat analysis; 7-day group (95.6% (43/45)), 14-day group (92.5% (62/67), p = 0.518) by per-protocol analysis. The moderate or severe adverse event extents during the eradication were 30.2% (16/53) in the 7-day group and 19.2% (14/73) in the 14-day group (p = 0.152). Conclusions: The 7-day BQT regimen was as effective as the 14-day BQT regimen in the eradication of treatment-naïve clarithromycin-resistant H. pylori infection.