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Nonlinear association between the serum uric acid-to-creatinine ratio and all cause mortality in patients with hypertension: a ten-year cohort study using the NHANES database.
Sci Rep
December 2024
Department of Cardiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
The serum uric acid-to-creatinine ratio (UCR) may be a simple method for assessing xanthine oxidase overactivation, which may contribute to an increase in serum uric acid production and oxidative stress. In this study, we investigated the nonlinear association between the UCR and long-term mortality in patients with hypertension. Data were acquired from the National Health and Nutrition Examination Survey database, and a total of 11,346 patients with hypertension were included.
View Article and Find Full Text PDFEvaluation of overwintering risk of tropical and subtropical insect pests in temperate regions.
Sci Rep
December 2024
Institute of Agrobiological Sciences, NARO, Tsukuba, Ibaraki, Japan.
Recent changes in climate and environments have promoted the range expansion of insect pests of tropical and subtropical origins into temperate regions. For more accurate and faster risk assessment of this expansion, we developed a novel indicator to link a physiologically derived parameter of chilling injury with the survival of insect populations in nature by using two insects, Spodoptera frugiperda and Cicadulina bipunctata with tropical and subtropical origins, and one cool-adapted insect, Laodelphax striatellus. The parameter derived from a proportional increment in the time to 99.
View Article and Find Full Text PDFFactors affecting intensive care length of stay in critically ill pediatric patients with burn injuries.
Pediatr Surg Int
December 2024
Department of Pediatric Critical Care, The Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Tel-Hashomer, Israel.
Background: Burns in children are often complex injuries, leading to prolonged length of stay (LOS) and significant morbidity. LOS in pediatric intensive care units (PICUs) is a key measure for evaluating illness severity, clinical outcomes, and quality of care. Accurate prediction of LOS is vital for improving care planning and resource allocation.
View Article and Find Full Text PDFMetagenome-validated combined amplicon sequencing and text mining-based annotations for simultaneous profiling of bacteria and fungi: vaginal microbiota and mycobiota in healthy women.
Microbiome
December 2024
Faculty of Medicine, Human Microbiome Research Program, University of Helsinki, Helsinki, Finland.
Background: Amplicon sequencing of kingdom-specific tags such as 16S rRNA gene for bacteria and internal transcribed spacer (ITS) region for fungi are widely used for investigating microbial communities. So far most human studies have focused on bacteria while studies on host-associated fungi in health and disease have only recently started to accumulate. To enable cost-effective parallel analysis of bacterial and fungal communities in human and environmental samples, we developed a method where 16S rRNA gene and ITS1 amplicons were pooled together for a single Illumina MiSeq or HiSeq run and analysed after primer-based segregation.
View Article and Find Full Text PDFDevelopment and validation of a nomogram model to predict the risk of strangulated intestinal obstruction.
Sci Rep
December 2024
Department of Emergency Surgery, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, PR China.
To develop and validate a nomogram model for discriminating simple intestinal obstruction and strangulated intestinal obstruction, thus providing objective evidence for clinical decision-making. Following pre-established inclusion and exclusion criteria, a retrospective analysis was conducted on the clinical data of 560 patients diagnosed with intestinal obstruction who were admitted to the Emergency Surgery Department of the First Affiliated Hospital of Anhui Medical University between January 1, 2020, and December 31, 2022. The data was subsequently split into a training cohort (n = 393) and a validation cohort (n = 167) using a 7:3 ratio.
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