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Objective: To analyze COVID-19 deaths in public hospitals in a Brazilian state, stratified by the three waves of the pandemic, and to test their association with socio-clinical variables.
Methods: Observational analytical study, where 5436 deaths by COVID-19 occurred in hospitals of the public network of Espírito Santo, between 1 April 2020, and 31 August 2021, stratified by the three waves of the pandemic, were analyzed. For the bivariate analyses, the Pearson's chi-square, Fisher's Exact or Friedman's tests were performed depending on the Gaussian or non-Gaussian distribution of the data. For the relationship between time from diagnosis to death in each wave, quantile regression was used, and multinomial regression for multiple analyses.
Results: The mean time between diagnosis and death was 18.5 days in the first wave, 20.5 days in the second wave, and 21.4 days in the third wave. In the first wave, deaths in public hospitals were associated with the following variables: immunodeficiency, obesity, neoplasia, and origin. In the second wave, deaths were associated with education, O saturation < 95%, chronic neurological disease, and origin. In the third wave, deaths were associated with race/color, education, difficulty breathing, nasal or conjunctival congestion, irritability or confusion, adynamia or weakness, chronic cardiovascular disease, neoplasms, and diabetes mellitus. Origin was associated with the outcome in the three waves of the pandemic, in the same way that education was in the second and third waves ( < 0.05).
Conclusion: The time interval between diagnosis and death can be impacted by several factors, such as: plasticity of the health system, improved clinical management of patients, and the start of vaccination at the end of January 2021, which covered the age group with the higher incidence of deaths. The deaths occurring in public hospitals were associated with socio-clinical characteristics.
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http://dx.doi.org/10.3390/ijerph192114077 | DOI Listing |
Med J Aust
September 2025
Sydney School of Public Health, the University of Sydney, Sydney, NSW.
Objectives: To assess changes in greenhouse gas emission rates associated with the use of anaesthetic gases (desflurane, sevoflurane, and isoflurane) in Australian health care during 2002-2022, overall and by state or territory and hospital type.
Study Design: Retrospective descriptive analysis of IQVIA anaesthetic gases purchasing data.
Setting: All Australian public and private hospitals, 1 January 2002 - 31 December 2022.
Emerg Med Australas
October 2025
School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Background: Viscoelastic haemostatic assays (VHAs) guide transfusion decisions in bleeding patients. We assessed testing volumes, clinical indications and patient characteristics in a statewide population in Australia.
Methods: This retrospective study included all patients who underwent rotational thromboelastometry (ROTEM) or thromboelastography (TEG) across Queensland Health hospitals (1 January 2019 to 15 April 2025), using data from AUSLAB, the statewide laboratory information system and surveyed all hospitals for VHA device availability.
J Prim Care Community Health
September 2025
Division of Nephrology, Department of Medicine, National University Hospital, Singapore.
Background: Chronic kidney disease (CKD) management was largely centered around renin-angiotensin-aldosterone system inhibitors (RAASi) optimization, until recent emergence of novel therapeutics. However, slow adoption of guideline-directed therapy leaves patients vulnerable to disease progression. In 2022, a data-driven informatics approach was introduced to track real-time adherence to best practices.
View Article and Find Full Text PDFDiabetes Metab J
September 2025
Institute of Medical & Public Health Research, Ilia State University, Tbilisi, Georgia.
Background: The long-term clinical efficacy of intraportal islet transplantation is hampered by islet loss due to inflammation, oxidative stress, and insufficient vascularization. This study explores the venous sac as an alternative implantation site for islet transplantation in large animal models.
Methods: An immunosuppressed, diabetic cynomolgus monkey received allogeneic islet implants in its mesenteric venous sac, with metabolic assessments over 112 days.
BJPsych Open
September 2025
Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Population Health Sciences, Bristol Medical School, Bristol, UK.
Background: Some psychotic experiences in the general population show associations with higher schizophrenia and other mental health-related polygenic risk scores (PRSs), but studies have not usually included interviewer-rated positive, negative and disorganised dimensions, which show distinct associations in clinical samples.
Aims: To investigate associations of these psychotic experience dimensions primarily with schizophrenia PRS and, secondarily, with other relevant PRSs.
Method: Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort participants were assessed for positive, negative and disorganised psychotic experience dimensions from interviews, and for self-rated negative symptoms, at 24 years of age.