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http://dx.doi.org/10.1007/BF00200424 | DOI Listing |
Mycopathologia
January 2025
Division of Infectious Diseases, University of Alabama, The University of Alabama at Birmingham, Birmingham, AL, USA.
Introduction: Invasive fungal disease (IFD) is a morbid superinfection that can arise in critically ill patients with COVID-19 infection. Studies evaluating the full spectrum of COVID-19-associated fungal infections remain limited.
Methods: Single-center retrospective study assessing IFD in patients with COVID-19, hospitalized for ≥ 72 h in the intensive care unit (ICU) between 02/25/20 and 02/28/22 (n = 1410).
Sci Rep
January 2025
Center for Health Promotion, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan.
This longitudinal observational study aimed to evaluate whether cardiometabolic factors and dietary characteristics are determinants of metabolic dysfunction-associated steatotic liver disease (MASLD) in non-obese individuals (body mass index [BMI] < 25 kg/m²). The study was conducted at the Japanese Red Cross Society Kyoto Daiichi Hospital. Clinical data were longitudinally recorded at annual health checks.
View Article and Find Full Text PDFNat Ecol Evol
January 2025
Cambridge University Botanic Garden, Cambridge, UK.
Ex situ living plant collections play a crucial role in providing nature-based solutions to twenty-first century global challenges. However, the complex dynamics of these artificial ecosystems are poorly quantified and understood, affecting biodiversity storage, conservation and utilization. To evaluate the management of ex situ plant diversity, we analysed a century of data comprising 2.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Environmental Health Engineering, Khalkhal University of Medical Sciences, Khalkhal, Iran.
Heavy metals (HMs) may cause the generation of reactive oxygen species (ROS), which results in oxidative stress and eventually leads to an increase in cardiovascular diseases (CVD). The Hoveyzeh Cohort Study Center provided clinical data for cardiovascular cases. The collection of samples was done randomly.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Patients with Diabetic ketoacidosis (DKA) have increased critical illness and mortality during coronavirus diseases 2019 (COVID-19). The aim of our study was to develop a predictive model for the occurrence of critical illness and mortality in COVID-19 patients with DKA utilizing machine learning. Blood samples and clinical data from 242 COVID-19 patients with DKA collected from December 2022 to January 2023 at Second Xiangya Hospital.
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