Background: Out-of-hospital deaths increased during peak coronavirus disease 2019 (COVID-19) pandemic periods. However, aside from COVID-19 severity, which variables are related to being hospitalized have not been properly studied. We examine the association of several variables with dying at home from COVID-19 as opposed to in a hospital.
Methods: We used COVID-19 open data from Mexico City from March 2020 until February 2021. A causal model was prespecified to identify variables of interest. Adjusted logistic regressions were performed to calculate ORs for associations between variables of interest and dying out of hospital due to COVID-19.
Results: Among 61 112 people who died due to COVID-19, 8080 died out of hospital. Older age (OR 3.49, age 90 vs 60 y), male sex (OR 1.18) and higher bed occupancy (OR 2.68, 90% vs 50% occupancy) were positively associated with dying outside of hospital.
Conclusion: Older age could confer different patient wishes or less ability to look for healthcare. Higher bed occupancy may have prevented hospital admission from people who required in-hospital care.
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http://dx.doi.org/10.1093/trstmh/trad025 | DOI Listing |
Head Neck
January 2025
Department of Otolaryngology, University of California, Irvine, Chao Family Comprehensive Cancer Center, Orange, California, USA.
Purpose: Blood-borne, cell-free DNA has been proposed as a means of individualizing the management of human papillomavirus (HPV)-positive oropharyngeal carcinoma.
Methods And Materials: This study was designed based on the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) statement. A comprehensive literature search of peer-reviewed publications from January 2013 to January 2024 was undertaken to identify prospective studies pertaining to the use of circulating HPV-DNA for oropharyngeal carcinoma.
Acta Radiol
January 2025
Department of Medical Imaging, Dalin Tzu-Chi Hospital, Chiayi, Taiwan.
Background: The wide variability in thresholds on computed tomography (CT) perfusion parametric maps has led to controversy in the stroke imaging community about the most accurate measurement of core infarction.
Purpose: To investigate the feasibility of using U-Net to perform infarct core segmentation in CT perfusion imaging.
Material And Methods: CT perfusion parametric maps were the input of U-Net, while the ground truth segmentation was determined based on diffusion-weighted imaging (DWI).
Circ Genom Precis Med
January 2025
Department of Medicine, Division of Cardiology (M.P., N.J.P., N.P.S.), Duke University, Durham, NC.
Background: Established risk models may not be applicable to patients at higher cardiovascular risk with a measured Lp(a) (lipoprotein[a]) level, a causal risk factor for atherosclerotic cardiovascular disease.
Methods: This was a model development study. The data source was the Nashville Biosciences Lp(a) data set, which includes clinical data from the Vanderbilt University Health System.
Therap Adv Gastroenterol
January 2025
The Affiliated Traditional Chinese Medicine Hospital, Guangzhou Medical University, 16 Zhujilu Road, Guangzhou, Guangdong 510010, China.
Background: Alkaline phosphatase (ALP) is a potential cancer biomarker. However, its prognostic value in patients with colorectal liver metastasis remains unclear.
Objectives: This study aimed to investigate the association between ALP levels and mortality risk in patients with colorectal liver metastases (CRLM), providing insights for enhancing prognostic assessments.
Eur Heart J Digit Health
January 2025
Department of Cardiovascular Surgery of Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Aims: Accurate heart function estimation is vital for detecting and monitoring cardiovascular diseases. While two-dimensional echocardiography (2DE) is widely accessible and used, it requires specialized training, is prone to inter-observer variability, and lacks comprehensive three-dimensional (3D) information. We introduce CardiacField, a computational echocardiography system using a 2DE probe for precise, automated left ventricular (LV) and right ventricular (RV) ejection fraction (EF) estimations, which is especially easy to use for non-cardiovascular healthcare practitioners.
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