AI Article Synopsis
- The study examined the clinical features and outcomes of 103 patients with acute neurological issues (like stroke and brain trauma) who required prolonged mechanical ventilation (PMV) at a hospital in Taiwan from 2011 to 2014.
- Weaning success, defined as being off the ventilator for more than 5 days, occurred in 61% of patients, while 39% experienced weaning failure, which was linked to older age, lower Glasgow Coma Scale scores, and longer hospital stays.
- The research concludes that a lower Glasgow Coma Scale score is a significant predictor of weaning failure and associated with higher in-hospital mortality in these patients.
Article Abstract
Background/purpose: Neurological dysfunction is a common condition necessitating prolonged mechanical ventilation (PMV). We investigated the clinical features and outcomes of patients with acute neurological diseases requiring PMV.
Methods: This retrospective observational study was conducted at the Respiratory Care Center (RCC) of Chang Gung Memorial Hospital, Taiwan, between January 2011 and January 2014. The main outcome was weaning success, defined as successful withdrawal from mechanical ventilator support for more than 5 days.
Results: The study included 103 patients with acute stroke and brain trauma receiving PMV. Weaning success was reported in 63 (61%) patients and weaning failure was reported in 40 (39%) patients. Patients in the weaning failure group were older and had a lower RCC Glasgow Coma Scale (GCS) score (6.0 vs 7.9, p = 0.005), lower albumin level (2.8 vs 3.1, p = 0.015), longer RCC stay (28.7 vs 21.3 days, p = 0.017), and higher in-hospital mortality rate (47% vs 9%, p < 0.01). Multivariate analysis revealed that reduced RCC GCS score is an independent prognostic factor for weaning failure (odds ratio [OR] = 1.22, 95% confidence interval [CI] = 1.05-1.46, p = 0.016) and that per unit increase of RCC GCS score is associated with a lower risk of in-hospital mortality (OR = 0.83, 95% CI = 0.70-0.96, p = 0.019).
Conclusion: Reduced RCC GCS score is an independent prognostic factor for weaning failure, and is associated with increased in-hospital mortality rates in patients with acute stroke and brain trauma requiring PMV.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jfma.2021.02.011 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation.
Int J Chron Obstruct Pulmon Dis
January 2025
Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany.
Background: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.
Methods: In this single centre study, non-consecutive COPD patients were prospectively recruited for comparing their speech characteristics during and after an acute COPD exacerbation.
The Role of Severe Vitamin D Deficiency in Predicting the Risk of Severe Exacerbation in Patients With Chronic Obstructive Pulmonary Disease.
Int J Chron Obstruct Pulmon Dis
January 2025
Department of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Background: This study aims to investigate the association between vitamin D levels and the risk of severe acute exacerbations of chronic obstructive pulmonary disease (AECOPD).
Methods: We conducted a prospective observational study with 636 COPD patients admitted for exacerbations between January 2021 and December 2022. Patients were categorized based on serum 25-hydroxyvitamin D levels: severe deficiency (<10 ng/mL), deficiency (10-20 ng/mL), insufficiency (20-30 ng/mL), or sufficiency (>30 ng/mL).
Endoscopic management to different isolated maxillary fungal pathologies: case series of a tertiary hospital.
J Surg Case Rep
January 2025
Department of Otolaryngology-Head and Neck Surgery, King Fahd Specialist Hospital, Dammam 32253, Saudi Arabia.
Isolated maxillary fungal pathologies involve a variety of clinical entities. These include invasive and non-invasive variants, where each has a unique pathogenesis, clinical manifestation, and approach for management. The aim of this case series is to investigate the several ways that fungal infections of the maxillary sinus might present, with the approach to diagnose and manage these conditions.
View Article and Find Full Text PDFDeveloping and validating a machine learning model to predict multidrug-resistant -related septic shock.
Front Immunol
January 2025
Department of Medical Laboratory, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
Background: Multidrug-resistant Klebsiella pneumoniae (MDR-KP) infections pose a significant global healthcare challenge, particularly due to the high mortality risk associated with septic shock. This study aimed to develop and validate a machine learning-based model to predict the risk of MDR-KP-associated septic shock, enabling early risk stratification and targeted interventions.
Methods: A retrospective analysis was conducted on 1,385 patients with MDR-KP infections admitted between January 2019 and June 2024.
CD56 CD16 cells represent a distinct mature NK cell subset with altered phenotype and are associated with adverse clinical outcome upon expansion in AML.
Front Immunol
January 2025
Team Immunity and Cancer, Cancer Research Center of Marseille (CRCM), Inserm U1068, CNRS UMR7258, Paoli-Calmettes Institute, University of Aix-Marseille UM105, Marseille, France.
Introduction: Acute myeloid leukemia (AML) is a rare haematological cancer with poor 5-years overall survival (OS) and high relapse rate. Leukemic cells are sensitive to Natural Killer (NK) cell mediated killing. However, NK cells are highly impaired in AML, which promote AML immune escape from NK cell immune surveillance.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!