Background: The prevalence and impact of alcohol withdrawal syndrome (AWS) in patients with alcohol-associated hepatitis (AH) are unknown. In this study, we aimed to investigate the prevalence, predictors, management, and clinical impact of AWS in patients hospitalized with AH.
Methods: A multinational, retrospective cohort study enrolling patients hospitalized with AH at 5 medical centres in Spain and in the USA was performed between January 1st, 2016 to January 31st, 2021. Data were retrospectively retrieved from electronic health records. Diagnosis of AWS was based on clinical criteria and use of sedatives to control AWS symptoms. The primary outcome was mortality. Multivariable models controlling for demographic variables and disease severity were performed to determine predictors of AWS (adjusted odds ratio [OR]) and the impact of AWS condition and management on clinical outcomes (adjusted hazard ratio [HR]).
Findings: In total, 432 patients were included. The median MELD score at admission was 21.9 (18.3-27.3). The overall prevalence of AWS was 32%. Lower platelet levels (OR = 1.61, 95% CI 1.05-2.48) and previous history of AWS (OR = 2.09, 95% CI 1.31-3.33) were associated with a higher rate of incident AWS, whereas the use of prophylaxis decreased the risk (OR = 0.58, 95% CI 0.36-0.93). The use of intravenous benzodiazepines (HR = 2.18, 95% CI 1.02-4.64) and phenobarbital (HR = 2.99, 95% CI 1.07-8.37) for AWS treatment were independently associated with a higher mortality. The development of AWS increased the rate of infections (OR = 2.24, 95% CI 1.44-3.49), the need for mechanical ventilation (OR = 2.49, 95% CI 1.38-4.49), and ICU admission (OR = 1.96, 95% CI 1.19-3.23). Finally, AWS was associated with higher 28-day (HR = 2.31, 95% CI 1.40-3.82), 90-day (HR = 1.78, 95% CI 1.18-2.69), and 180-day mortality (HR = 1.54, 95% CI 1.06-2.24).
Interpretation: AWS commonly occurs in patients hospitalized with AH and complicates the hospitalization course. Routine prophylaxis is associated with a lower prevalence of AWS. Prospective studies should determine diagnostic criteria and prophylaxis regimens for AWS management in patients with AH.
Funding: This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
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http://dx.doi.org/10.1016/j.eclinm.2023.102046 | DOI Listing |
J Chem Phys
December 2024
Department of Chemistry, Rice University, Houston, Texas 77005, USA.
The Jordan-Wigner transformation permits one to convert spin 1/2 operators into spinless fermion ones, or vice versa. In some cases, it transforms an interacting spin Hamiltonian into a noninteracting fermionic one, which is exactly solved at the mean-field level. Even when the resulting fermionic Hamiltonian is interacting, its mean-field solution can provide surprisingly accurate energies and correlation functions.
View Article and Find Full Text PDFCochrane Database Syst Rev
December 2024
Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA.
This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To evaluate the benefits and harms of financial incentives for improving family engagement on family members of neonates receiving hospitalized care.
View Article and Find Full Text PDFClin Transl Sci
December 2024
Critical Path Institute, Tucson, Arizona, USA.
In the rapidly evolving landscape of healthcare and drug development, the ability to efficiently collect, process, and analyze large volumes of real-world data (RWD) is critical for advancing drug development. This article provides a blueprint for establishing an end-to-end data and analytics pipeline in a cloud-based environment. The pipeline presented here includes four major components, including data ingestion, transformation, visualization, and analytics, each supported by a suite of Amazon Web Services (AWS) tools.
View Article and Find Full Text PDFAm J Speech Lang Pathol
December 2024
The Department of Audiology and Speech Pathology, University of Tennessee Health Science Center, Knoxville, TN.
Purpose: To quantify variability in external stuttering and other stuttering symptoms and reactions within adults who stutter (AWS) across three fluency states.
Method: A total of 130 AWS responded to an online survey that first asked them to rate their external stuttering severity when least fluent (LF), most naturally fluent (MNF), and when using fluency shaping (FS) techniques using a 9-point semantic differential scale. Fourteen subsequent questions probed a wide range of stuttering symptoms and listener reactions in reference to each of the three states.
JAMIA Open
December 2024
Center for Home Care Policy & Research, VNS Health, New York, NY 10017, United States.
Objectives: As artificial intelligence evolves, integrating speech processing into home healthcare (HHC) workflows is increasingly feasible. Audio-recorded communications enhance risk identification models, with automatic speech recognition (ASR) systems as a key component. This study evaluates the transcription accuracy and equity of 4 ASR systems-Amazon Web Services (AWS) General, AWS Medical, Whisper, and Wave2Vec-in transcribing patient-nurse communication in US HHC, focusing on their ability in accurate transcription of speech from Black and White English-speaking patients.
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