Objective: To investigate the clinical and dynamic features of the formation of alcohol dependence (AD) in middle-aged and elderly people with primary organic mental disorders (POMD).
Material And Methods: The study included 83 male patients aged 67.5±7.2 years with POPR, complicated by mid-stage AD, who were divided into 2 groups. The 1st group included 49 (59%) patients, the 2nd - 34 (41%) patients who had symptoms of POPR at 39.2±2.8 and 46.5±2.2 years, respectively, and alcohol withdrawal syndrome (AWS) formed at 53.8±1.2 years and 66.8±0.9 years, accordingly. The study used questionnaires - social interviews, clinical (anamnesis collection), catamnestic, dynamic observation, statistical (parametric and nonparametric) methods.
Results: Patients of group 1 began systematic alcohol intake at a younger age (cf. age 46.2±1.2 years), a low-grade course prevailed (53.1%), AWS appeared at an average age of 57.2±1.8 years, was of pronounced severity (21.32±2.48 points), the psychopathological variant dominated. Systematic alcohol intake in patients of the 2nd group began at a later age (58.4±1.4 years), they had a predominant (41.2%) - a moderate course, AWS was formed more often (41.2%) in the elderly (66.2±1.2 years), was of moderate severity (CIWA, 18.81±1.92 points), the cerebral variant prevailed. The average duration of AWS and light intervals in patients of group 1 was longer (<0.05), respectively - 5.5±1.5 days and 23.3±2.8 days.
Conclusion: The development of POMD symptoms at a young age may have an impact on the formation of AZ in middle age, a pronounced degree of severity of AWS, a low-grade course, and the appearance of POMD symptoms in middle age - on the later formation of AD, the average severity of the course of AWS, a medium-grade course.
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http://dx.doi.org/10.17116/jnevro202412409173 | DOI Listing |
Sci Rep
December 2024
Department of Chemistry, University of Washington, Box 351700, Seattle, Washington, 98195, USA.
Trigger valves are fundamental features in capillary-driven microfluidic systems that stop fluid at an abrupt geometric expansion and release fluid when there is flow in an orthogonal channel connected to the valve. The concept was originally demonstrated in closed-channel capillary circuits. We show here that trigger valves can be successfully implemented in open channels.
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December 2024
Division of Pulmonary and Critical Care, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095-1690, USA.
Electronic cigarettes (e-cigs) fundamentally differ from tobacco cigarettes in their generation of liquid-based aerosols. Investigating how e-cig aerosols behave when inhaled into the dynamic environment of the lung is important for understanding vaping-related exposure and toxicity. A ventilated artificial lung model was developed to replicate the ventilatory and environmental features of the human lung and study their impact on the characteristics of inhaled e-cig aerosols from simulated vaping scenarios.
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December 2024
Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, China.
Early prediction of patient responses to neoadjuvant chemotherapy (NACT) is essential for the precision treatment of early breast cancer (EBC). Therefore, this study aims to noninvasively and early predict pathological complete response (pCR). We used dynamic ultrasound (US) imaging changes acquired during NACT, along with clinicopathological features, to create a nomogram and construct a machine learning model.
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December 2024
School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia.
Sponges harbour complex microbiomes and as ancient metazoans and important ecosystem players are emerging as powerful models to understand the evolution and ecology of symbiotic interactions. Metagenomic studies have previously described the functional features of sponge symbionts, however, little is known about the metabolic interactions and processes that occur under different environmental conditions. To address this issue, we construct here constraint-based, genome-scale metabolic networks for the microbiome of the sponge Stylissa sp.
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December 2024
Department of Computing and Information Systems, Sunway University, 47500, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
Urban mobility prediction is crucial for optimizing resource allocation, managing transportation systems, and planning urban development. We propose a novel framework, GeoTemporal LSTM (GT-LSTM), designed to address the intricate spatiotemporal dynamics of urban environments. GT-LSTM integrates temporal dependencies with geographic information through a multi-modal approach that combines attention mechanisms and Recurrent Neural Networks (RNNs).
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