Aim: To determine predictors and outcomes of extubation failure in extremely preterm (EP) infants born <28 weeks' gestational age (GA).
Methods: Retrospective clinical audit across two tertiary-level neonatal intensive care units in Melbourne, Australia. Two-hundred and four EP infants who survived to their first extubation from mechanical ventilation. Extubation failure (re-intubation) within 7 days after the first extubation.
Results: Lower GA (odds ratio [OR] 0.71, 95% confidence interval (CI), 0.61-0.89, P < 0.001) and higher pre-extubation measured mean airway pressure (MAP) on the mechanical ventilator (OR 1.9 [95% CI 1.41-2.51], P < 0.001) predicted extubation failure. The area under a receiver operating characteristic curve for GA and MAP was 0.77 (95% CI 0.70-0.82). After adjustment for GA, infants who experienced extubation failure had higher rates of bronchopulmonary dysplasia (P < 0.001), post-natal systemic corticosteroid treatment (P < 0.001), airway trauma (P < 0.003), longer durations of treatment with mechanical ventilation (P < 0.001), non-invasive respiratory support (P < 0.001), supplemental oxygen therapy (P = 0.05) and longer hospitalisation (P = 0.025).
Conclusions: Lower GA and higher pre-extubation measured MAP were predictive of extubation failure within 7 days in extremely preterm infants. Extubation failure was associated with increased morbidity and extended periods of respiratory support and hospitalisation.
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http://dx.doi.org/10.1111/jpc.15356 | DOI Listing |
Am J Emerg Med
December 2024
Department of Health Policy & Organization, School of Public Health, The University of Alabama at Birmingham, Birmingham, AL, USA; Center for Outcomes and Effectiveness Research and Education, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA.
Background: Leaving before medically advised (BMA) is a significant issue in the US healthcare system, leading to adverse health outcomes and increased costs. Despite previous research, multi-year studies using up-to-date nationwide emergency department (ED) data, are limited. This study examines factors associated with leaving BMA from EDs and trends over time, before and during the COVID-19 pandemic.
View Article and Find Full Text PDFHepatology
January 2025
Division of Gastroenterology and Hepatology, University of California, San Francisco, San Francisco, CA.
Background Aims: Patients with hepatocellular carcinoma (HCC) meeting UNOS-downstaging (DS) criteria have excellent post-liver transplantation (LT) outcomes. Studies on HCC beyond UNOS-DS criteria ("All-comers" (AC)) have been limited by small sample size and short follow-up time, prompting this analysis.
Approach Results: 326 patients meeting UNOS-DS and 190 meeting AC criteria from 9 LT centers across 5 UNOS regions were enrolled from 2015 to 2023 and prospectively followed.
J Med Internet Res
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Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Background: Artificial intelligence (AI) social chatbots represent a major advancement in merging technology with mental health, offering benefits through natural and emotional communication. Unlike task-oriented chatbots, social chatbots build relationships and provide social support, which can positively impact mental health outcomes like loneliness and social anxiety. However, the specific effects and mechanisms through which these chatbots influence mental health remain underexplored.
View Article and Find Full Text PDFBraz J Psychiatry
January 2025
Department of Preventive Medicine, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
Objective: This study aims to evaluate if attitudes toward drug use, decision-making, communication, and alcohol resistance skills act as predictors of alcohol use and binge drinking initiation among Brazilian students, considering the sex differences.
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Hosp Pediatr
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Pediatric Critical Care, Lucile Packard Children's Hospital Stanford, Palo Alto, California.
Objectives: Pediatric neurocritical care (PNCC) patients experience high rates of morbidity, but comprehensive follow-up is not universal. We sought to identify predictors of functional decline in these children to guide future resource allocation.
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