98%
921
2 minutes
20
Introduction: Critical COVID-19 survivors have a high risk of respiratory sequelae. Therefore, we aimed to identify key factors associated with altered lung function and CT scan abnormalities at a follow-up visit in a cohort of critical COVID-19 survivors.
Methods: Multicenter ambispective observational study in 52 Spanish intensive care units. Up to 1327 PCR-confirmed critical COVID-19 patients had sociodemographic, anthropometric, comorbidity and lifestyle characteristics collected at hospital admission; clinical and biological parameters throughout hospital stay; and, lung function and CT scan at a follow-up visit.
Results: The median [p-p] time from discharge to follow-up was 3.57 [2.77-4.92] months. Median age was 60 [53-67] years, 27.8% women. The mean (SD) percentage of predicted diffusing lung capacity for carbon monoxide (D) at follow-up was 72.02 (18.33)% predicted, with 66% of patients having D<80% and 24% having D<60%. CT scan showed persistent pulmonary infiltrates, fibrotic lesions, and emphysema in 33%, 25% and 6% of patients, respectively. Key variables associated with D<60% were chronic lung disease (CLD) (OR: 1.86 (1.18-2.92)), duration of invasive mechanical ventilation (IMV) (OR: 1.56 (1.37-1.77)), age (OR [per-1-SD] (95%CI): 1.39 (1.18-1.63)), urea (OR: 1.16 (0.97-1.39)) and estimated glomerular filtration rate at ICU admission (OR: 0.88 (0.73-1.06)). Bacterial pneumonia (1.62 (1.11-2.35)) and duration of ventilation (NIMV (1.23 (1.06-1.42), IMV (1.21 (1.01-1.45)) and prone positioning (1.17 (0.98-1.39)) were associated with fibrotic lesions.
Conclusion: Age and CLD, reflecting patients' baseline vulnerability, and markers of COVID-19 severity, such as duration of IMV and renal failure, were key factors associated with impaired D and CT abnormalities.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824938 | PMC |
http://dx.doi.org/10.1016/j.arbres.2022.12.017 | DOI Listing |
Infect Dis Poverty
September 2025
Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon.
Background: Little is documented on key community-based One Health (OH) approach implementation, pro-activeness and effectiveness of interactions and strategies against Mpox outbreak public health emergency in international concern (PHEIC) in various African countries in order to stamp out the persisting Mpox outbreak threat and burden. Prioritizing critical community-based interventions and lessons learned from previous COVID-19, Mpox, Ebola, COVID-19, Rift Valley Fever and Marburg virus outbreaks revealed critical shortcomings in funding, surveillance, and community engagement that plague public health initiatives across the continent. The article provides critical insights and benefits of community-based One Health approaches implementation against Mpox outbreak management in Africa.
View Article and Find Full Text PDFBMC Public Health
September 2025
Department of Mathematics, Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, Gottlieb-Daimler-Str.48, Kaiserslautern, 67663, Germany.
We study the dynamics of coexisting influenza and SARS-CoV-2 by adapting a well-established age-specific COVID-19 model to a multi-pathogen framework. Sensitivity analysis and adjustment of the model to real-world data are used to investigate the influence of age-related factors on disease dynamics. Our findings underscore the critical role that transmission rates play in shaping the spread of influenza and COVID-19.
View Article and Find Full Text PDFNat Commun
September 2025
CSSB Centre for Structural Systems Biology, Deutsches Elektronen Synchroton DESY, Leibniz Institute of Virology, University of Lübeck, Hamburg, Germany.
In coronavirus (CoV) infection, polyproteins (pp1a/pp1ab) are processed into non-structural proteins (nsps), which largely form the replication/transcription complex (RTC). The polyprotein processing and complex formation is critical and offers potential therapeutic targets. However, the interplay of polyprotein processing and RTC-assembly remains poorly understood.
View Article and Find Full Text PDFAppl Ergon
September 2025
NHS Education for Scotland, Edinburgh, United Kingdom; Staffordshire University, Stafford, United Kingdom; University of Glasgow, Glasgow, United Kingdom. Electronic address:
Purpose: To share key learnings from the assessment of a COVID-19 vaccination system in Scotland using a Human Reliability Analysis (HRA) approach.
Method: Project data were collected in February 2021 in NHS Ayrshire and Arran (NHSAA) - the regional health authority - using document analysis (Service Delivery Manual, 2020), observations (2 site visits), and workshops (n = 8, with 26 participants). The Systematic Human Error Reduction and Prediction Approach (SHERPA) is a framework for human reliability analysis that can be used as part of a safety assessment or safety case to determine whether the system is 'safe enough' and provide recommendations to improve safety by mitigating error potential.
PLoS One
September 2025
Graduate Program in Public Health - PPGSC/UFES, Vitória, Espírito Santo, Brazil.
A comprehensive understanding of the factors influencing the epidemiological dynamics of COVID-19 across the pandemic waves-particularly in terms of disease severity and mortality-is critical for optimizing healthcare services and prioritizing high-risk populations. Here we aim to analyze the factors associated with short-term and prolonged hospitalization for COVID-19 during the first three pandemic waves. We conducted a retrospective observational study using data from individuals reported in the e-SUS-VS system who were hospitalized for COVID-19 in a state in a southeast state of Brazil.
View Article and Find Full Text PDF