ABSTRACT
Objective: Acute ischemic stroke (AIS) is a leading cause of death, but isolated middle cerebral artery dissection (MCAD) is rarely reported. The aim of this article is to sum up the current information on this pathology and to explore the technical aspects of its endovascular treatment with emphasis on novel coated, antithrombogenic stents and antiplatelet management. Another part of this article offers our experience with the problematics represented by a small sample group of patients with an MCAD diagnosis who were treated in our center. Methods: We conducted literature research and a retrospective review of patients treated for anterior circulation AIS at our comprehensive stroke center from January 2022 to March 2024. The cohort included 16 patients diagnosed with isolated MCAD, 9 received antithrombogenic coated stents, while 7 received bare metal stents. Pharmacological management of coated stents involved the use of Cangrelor for acute antiplatelet therapy, transitioning to oral Ticagrelor. Results: Among the 16 patients treated, those with antithrombogenic coated stents showed no major complications and had a lower incidence of intracranial hemorrhage compared to the bare metal stent group. The average National Institutes of Health Stroke Scale (NIHSS) score at discharge improved in both groups. Functional outcomes and mortality rates were slightly better in the coated stent group, but no statistical significance was proven. Conclusions: Antithrombogenic coated stents, in conjunction with MAPT, demonstrated a safe and effective option for treating isolated MCAD. These stents offer promising potential for improved outcomes and reduced complications compared to traditional treatments. Further multicentric studies with larger cohorts are recommended to validate these findings.
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Introduction The Clinical Rotation Evaluation and Documentation Organizer (CREDO) is an electronic medical record (EMR) system created by the Edward Via College of Osteopathic Medicine (VCOM). International healthcare providers who partner with VCOM can gain access to CREDO and input their patient data. The objective of this study was to determine the frequency of urinary tract infection (UTI) diagnoses and prescription use over a one-year period in three Latin American countries. Methods Researchers analyzed the frequency of UTI diagnosis with corresponding prescription recommendations over a 12-month period in three Latin American countries (i.e., Dominican Republic, El Salvador, and Honduras) that utilize the CREDO system. For each month between May 2021 and May 2022, the total number of UTI diagnosis codes and prescription codes were summed, graphed, and analyzed. Results In El Salvador, there were 142 UTIs and 126 corresponding prescriptions written for UTIs reported from May 2021 to May 2022 but diagnoses were not consistent each month. Ciprofloxacin was prescribed most frequently at a rate of 43.7% in El Salvador. In Honduras, there were 68 UTIs and 68 corresponding prescriptions written for the UTIs reported from May 2021 until May 2022 with Ciprofloxacin being prescribed most frequently at a rate of 39.7%. Again, diagnosis frequency was not consistent each month. In the Dominican Republic, there were 42 UTIs and 14 corresponding prescriptions written for those UTIs reported, however, data only reflected two months' worth of UTI diagnoses from May 2021 to May 2022. Fosfomycin was prescribed most frequently at a rate of 61.5%. Conclusion: The findings above suggest that there are inconsistent UTI reports throughout the year with a varied use of antibiotics prescriptions for UTIs. The discovered discrepancies in disease reporting, or lack thereof of reporting, and prescription recommendation suggest inconsistent reporting in CREDO. In the future, focused education or revision on CREDO reporting and uniform coding practices could be implemented to reduce these inconsistencies.
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For the first time in history, the United States surpassed 100 000 overdose-related deaths in a 12-month period, driven by synthetic opioids such as fentanyl. Also, for the first time, potential chemical weapons are readily available on the streets and the dark web. Opioids represent a rare trifecta, used for licit pain management, as an illicit drug of abuse, and with potential use as a weapon of terror. Community-based Response to Drug Overdose (CReDO) is an initiative to unite agencies, disciplines, government, and private partners in 1 coordinated opioid emergencies response plan under nationwide standards, and can be integrated into the disaster medicine discipline due to the risk of mass casualty incidents involving fentanyl or its derivatives. Attention to the opioid crisis through CReDO will save lives by promoting information sharing between disciplines, shortened response time to overdose clusters, community collaboration to identify criminal distribution networks, and holistic approaches to addiction.
Subject(s)
Disaster Medicine , Drug Overdose , Humans , United States , Opioid Epidemic , Analgesics, Opioid/adverse effects , Fentanyl , Drug Overdose/prevention & control , Drug Overdose/epidemiologyABSTRACT
In 1978, G. Klerman published an essay in which he named the then-nascent "neo-Kraepelinian" movement and formulated a "credo" of nine propositions expressing the movement's essential claims and aspirations. Klerman's essay appeared on the eve of the triumph of neo-Kraepelinian ideas in the DSM-III. However, this diagnostic system has subsequently come under attack, opening the way for competing proposals for the future of psychiatric nosology. To better understand what is at stake, in this paper I provide a close reading and consideration of Klerman's credo in light of the past forty years of research and reflection. The credo is placed in the context of two equally seminal publications in the same year, one by S. Guze, the leading neo-Kraepelinian theorist, and the other by R. Spitzer and J. Endicott, defining mental disorder. The divergences between Spitzer and standard neo-Kraepelinianism are highlighted and argued to be much more important than is generally realized. The analysis of Klerman's credo is also argued to have implications for how to satisfactorily resolve the current nosological ferment in psychiatry. In addition to issues such as creating descriptive syndromal diagnostic criteria, overthrowing psychoanalytic dominance of psychiatry, and making psychiatry more scientific, neo-Kraepelinians were deeply concerned with the conceptual issue of the nature of mental disorder and the defense of psychiatry's medical legitimacy in response to antipsychiatric criticisms. These issues cannot be ignored, and I argue that proposals currently on offer to replace the neo-Kraepelinian system, especially popular proposals to replace it with dimensional measures, fail to adequately address them.
ABSTRACT
Gamification is known to enhance users' participation in education and research projects that follow the citizen science paradigm. The Cosmic Ray Extremely Distributed Observatory (CREDO) experiment is designed for the large-scale study of various radiation forms that continuously reach the Earth from space, collectively known as cosmic rays. The CREDO Detector app relies on a network of involved users and is now working worldwide across phones and other CMOS sensor-equipped devices. To broaden the user base and activate current users, CREDO extensively uses the gamification solutions like the periodical Particle Hunters Competition. However, the adverse effect of gamification is that the number of artefacts, i.e., signals unrelated to cosmic ray detection or openly related to cheating, substantially increases. To tag the artefacts appearing in the CREDO database we propose the method based on machine learning. The approach involves training the Convolutional Neural Network (CNN) to recognise the morphological difference between signals and artefacts. As a result we obtain the CNN-based trigger which is able to mimic the signal vs. artefact assignments of human annotators as closely as possible. To enhance the method, the input image signal is adaptively thresholded and then transformed using Daubechies wavelets. In this exploratory study, we use wavelet transforms to amplify distinctive image features. As a result, we obtain a very good recognition ratio of almost 99% for both signal and artefacts. The proposed solution allows eliminating the manual supervision of the competition process.
Subject(s)
Image Processing, Computer-Assisted , Neural Networks, Computer , Artifacts , Humans , Machine Learning , Wavelet AnalysisABSTRACT
We describe a pilot of the Clinical REsearch During Outbreaks (CREDO) initiative, a training curriculum for researchers in epidemic-prone low- and middle-income countries who may respond to disease outbreaks. Participants reported improved confidence in their ability to conduct such research and overall satisfaction with the course structure, content, and training.