Introduction: Overt hepatic encephalopathy (HE) is a major complication of transjugular intrahepatic portosystemic shunt (TIPS). This study aimed to develop and validate prognostic models to identify patients at different risks of overt HE within 3 months after TIPS.
Methods: Two cohorts of patients with cirrhosis undergoing TIPS insertion were retrospectively included. In the derivation cohort of 276 patients, 3 models were established in increasing order of complexity: core model (age + Child-Pugh class), sarcopenia model (core model + sarcopenia), and full model (sarcopenia model + post-TIPS portal pressure gradient). All models were internally validated for discrimination and calibration and externally validated in an independent cohort of 182 patients.
Results: During a 3-month follow-up period, 61 (22.1%) and 33 patients (18.1%) developed overt HE in the derivation and validation cohort, and sarcopenia was associated with increased risk of the outcome. In the derivation cohort, the core model showed a c-statistic of 0.68 (95% confidence interval [CI] 0.61-0.75), and discrimination improved in the sarcopenia model (c-statistic 0.73; 95% CI 0.66-0.80). The full model that extended the core model with inclusion of sarcopenia and post-TIPS portal pressure gradient showed a significant improvement in discriminative ability (0.77; 95% CI 0.71-0.83; P = 0.001). Both sarcopenia and full model yielded comparable performances in the validation cohort.
Discussion: We developed and externally validated 2 prediction models applied before (sarcopenia model) and after TIPS (full model) to estimate the risk of post-TIPS overt HE. These tools could aid to select appropriate candidates for TIPS and guide postoperative management.
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http://dx.doi.org/10.14309/ctg.0000000000000461 | DOI Listing |
J Med Internet Res
January 2025
Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Background: Sepsis, a critical global health challenge, accounted for approximately 20% of worldwide deaths in 2017. Although the Sequential Organ Failure Assessment (SOFA) score standardizes the diagnosis of organ dysfunction, early sepsis detection remains challenging due to its insidious symptoms. Current diagnostic methods, including clinical assessments and laboratory tests, frequently lack the speed and specificity needed for timely intervention, particularly in vulnerable populations such as older adults, intensive care unit (ICU) patients, and those with compromised immune systems.
View Article and Find Full Text PDFPLoS One
January 2025
Curriculum in Toxicology & Environmental Medicine, UNC Chapel Hill, Chapel Hill, North Carolina, United States of America.
Growing evidence supports the importance of extracellular vesicle (EV) as mediators of communication in pathological processes, including those underlying respiratory disease. However, establishing methods for isolating and characterizing EVs remains challenging, particularly for respiratory samples. This study set out to address this challenge by comparing different EV isolation methods and evaluating their impacts on EV yield, markers of purity, and proteomic signatures, utilizing equine/horse bronchoalveolar lavage samples.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computer Science, GC Women University Sialkot, Sialkot, Pakistan.
Modern dialogue systems rely on emotion recognition in conversation (ERC) as a core element enabling empathetic and human-like interactions. However, the weak correlation between emotions and semantics poses significant challenges to emotion recognition in dialogue. Semantically similar utterances can express different types of emotions, depending on the context or speaker.
View Article and Find Full Text PDFCNS Neurosci Ther
January 2025
Department of Neurology, Mental and Neurological Disease Research Center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Aims: The aim of this study is to investigate the role of glymphatic function of cerebral autosomal dominant arteriopathy, subcortical infarcts, and leukoencephalopathy (CADASIL), the most common monogenic small vessel disease caused by NOTCH3 mutation, and to explore potential therapeutic strategies to improve glymphatic function.
Methods: We assessed glymphatic influx and efflux function in CADASIL mouse models (Notch3) and correlated these findings with brain atrophy in CADASIL patients. We also investigated the underlying mechanisms of glymphatic impairment, focusing the expression of AQP4 in astrocytic endfeet.
Psychiatry Clin Neurosci
January 2025
Shanghai Artificial Intelligence Laboratory, Shanghai, China.
Large language models (LLMs) have gained significant attention for their capabilities in natural language understanding and generation. However, their widespread adoption potentially raises public mental health concerns, including issues related to inequity, stigma, dependence, medical risks, and security threats. This review aims to offer a perspective within the actor-network framework, exploring the technical architectures, linguistic dynamics, and psychological effects underlying human-LLMs interactions.
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