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A 26-year-old male with no significant medical history presented with hematochezia and was diagnosed with ulcerative colitis (UC) accompanied by immune thrombocytopenia (ITP) as an extraintestinal manifestation (EIM) of UC. This case report delves into the uncommon overlap between UC, a subtype of inflammatory bowel disease primarily affecting the colon and rectum, and ITP, an autoimmune condition leading to platelet destruction. The patient's atypical presentation and subsequent positive response to a treatment regimen targeting both UC and ITP underscores the necessity for a thorough and multifaceted diagnostic approach in individuals with UC, especially when faced with non-gastrointestinal symptoms like unexplained thrombocytopenia. The findings from this study enhance the understanding of UC's diverse manifestations and highlight its potential intersection with other autoimmune diseases, advocating for integrated care strategies in managing such intricate clinical cases.
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Introduction Artificial intelligence (AI) integration in healthcare, specifically in gastroenterology, has opened new avenues for enhanced patient care and medical decision-making. This study aims to assess the reliability and accuracy of two prominent AI tools, ChatGPT 4.0 and Google Bard, in answering gastroenterology-related queries, thereby evaluating their potential utility in medical settings. Methods The study employed a structured approach where typical gastroenterology questions were input into ChatGPT 4.0 and Google Bard. Independent reviewers evaluated responses using a Likert scale and cross-referenced them with guidelines from authoritative gastroenterology bodies. Statistical analysis, including the Mann-Whitney U test, was conducted to assess the significance of differences in ratings. Results ChatGPT 4.0 demonstrated higher reliability and accuracy in its responses than Google Bard, as indicated by higher mean ratings and statistically significant p-values in hypothesis testing. However, limitations in the data structure, such as the inability to conduct detailed correlation analysis, were noted. Conclusion The study concludes that ChatGPT 4.0 outperforms Google Bard in providing reliable and accurate responses to gastroenterology-related queries. This finding underscores the potential of AI tools like ChatGPT in enhancing healthcare delivery. However, the study also highlights the need for a broader and more diverse assessment of AI capabilities in healthcare to leverage their potential in clinical practice fully.
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Introduction Upper gastrointestinal bleeding (UGIB) refers to blood loss from a gastrointestinal (GI) source proximal or above the ligament of Treitz. Health equity means giving everyone an equal chance to achieve optimal health by addressing injustices, overcoming barriers, and eliminating health disparities. Healthcare providers must analyze racial and ethnic disparities in UGIB management to ensure all patients receive equal care. Identifying risk factors in specific populations leads to tailored interventions that improve outcomes. Our study aims to examine trends and identify disparities in upper gastrointestinal bleeding across races and ethnicities to promote health equity. Methods Retrospective data on upper gastrointestinal bleeding from June 2009 to June 2022 were collected and categorized into five groups based on race. The baseline characteristics of each group were matched to ensure equitable comparison. A joinpoint regression model was used to compare incidence trends, identifying potential healthcare disparities for different racial/ethnic groups over time. Patients aged 18-75 who suffered from upper gastrointestinal bleeding at Nassau University Medical Center in New York from 2010 to 2021 were selected, excluding those with incomplete baseline comorbidity information. Results This study examined 5103 cases of upper gastrointestinal bleeding, with 41.9% female. The cohort was diverse, with 29.4% African American, 15.6% Hispanic, 45.3% White, 6.8% Asian, and 2.9% of other races. Data were split into two groups; 49.9% occurred between 2009 and 2015 and 50.1% between 2016 and 2022. Findings showed increased UGIB among Hispanics and decreased bleeding among Asians during 2016-2021 compared to 2009-2015. However, no significant difference was found for African Americans, Whites, and other races. In addition, Hispanics had a rise in the annual percentage change (APC) rate, whereas Asians had a decrease. Conclusion Our study examined trends in upper gastrointestinal bleeding and potential healthcare disparities across races and ethnicities. Our findings highlight an increased incidence of UGIB in Hispanics and a decreased incidence in Asians. Additionally, we identified a significant increase in the annual percentage change rate in Hispanics and a decrease in Asians over time. Our study underscores the importance of identifying and addressing disparities in UGIB management to promote health equity. Future research can build on these findings to develop tailored interventions that improve patient outcomes.
