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Association of the Revised Cardiac Risk Index with 1-year postoperative mortality: A single-center retrospective study.
J Clin Anesth
January 2025
Department of Anesthesiology, Nanjing Drum Tower Hospital, Medical School of Nanjing University, Nanjing 210008, China. Electronic address:
Objective: To explore risk factors for 1-year postoperative mortality and to identify its association with the Revised Cardiac Risk Index (RCRI).
Methods: This was a retrospective cohort study involving 54,933 patients aged 18 years and above who were surgically treated under general or regional anesthesia in a tertiary hospital in Singapore. Independent risk factors for 1-year postoperative mortality were identified by univariate Cox regression analysis.
Insights into stem Batomorphii: A new holomorphic ray (Chondrichthyes, Elasmobranchii) from the upper Jurassic of Germany.
PLoS One
January 2025
Department of Palaeontology, Faculty of Earth Sciences, Geography and Astronomy, Evolutionary Research Group, University of Vienna, Vienna, Austria.
The Late Jurassic fossil deposits of southern Germany, collectively known as the 'Solnhofen Archipelago', are one of the world's most important sources of Mesozoic vertebrates. Complete skeletons of cartilaginous fishes (Chondrichthyes), whose skeletal remains are rare in the fossil record and therefore all the more valuable, are represented, among others, by exceptionally well-preserved rays (superorder Batomorphii). Despite their potential for research in several areas, including taxonomy, morphology, ecology, and phylogeny, the number of studies on these chondrichthyans is still very limited.
View Article and Find Full Text PDFSurvival Outcomes for Adolescent and Young Adults With Cancer in Low- and Middle-Income Countries: A Systematic Review.
JCO Glob Oncol
January 2025
Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, Canada.
Purpose: Patients with adolescent and young adult (AYA) cancer are recognized as a vulnerable subpopulation in high-income countries (HICs). Although survival gaps between HIC and low- and middle-income country (LMIC) children with cancer are well described, LMIC AYAs have been neglected. We conducted a systematic review to describe cancer outcomes among LMIC AYAs.
View Article and Find Full Text PDFMachine Learning Potential for Identifying and Forecasting Complex Environmental Drivers of Infections in the United States.
Environ Health Perspect
January 2025
Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, UK.
Background: Environmental change in coastal areas can drive marine bacteria and resulting infections, such as those caused by , with both foodborne and nonfoodborne exposure routes and high mortality. Although ecological drivers of in the environment have been well-characterized, fewer models have been able to apply this to human infection risk due to limited surveillance.
Objectives: The Cholera and Other Illness Surveillance (COVIS) system database has reported infections in the United States since 1988, offering a unique opportunity to both explore the forecasting capabilities machine learning could provide and to characterize complex environmental drivers of infections.
Retraction Note: A deep neural network for the classification of epileptic seizures using hierarchical attention mechanism.
Soft comput
October 2024
Centre for Healthcare advancements, Innovation and Research, Vellore Institute of Technology, Chennai Campus, Chennai, India.
[This retracts the article DOI: 10.1007/s00500-022-07122-8.].
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