Purpose: Thirst is a high-incidence condition that causes patients to experience problems in the early postoperative period in the postanesthesia care unit (PACU). The study was conducted to determine the effect of oral water and ice application in managing early postoperative thirst.
Design: Randomized controlled trial.
Methods: The study was conducted between January and April 2017 with 150 patients who were transferred from the operating room of a university hospital to the PACU and met the research criteria. The patients were divided into treatment (water group = 50, ice group = 50) and control (n = 50) groups. Patients in the intervention group received oral water/ice application after admission to the PACU after surgery. Patients in the control group received routine treatment and care.
Findings: In intragroup comparisons before and after the application, there was a statistically significant decrease in thirst, dry mouth, dry throat, and difficulty in swallowing in the water and ice groups (P < .001); ice application was more effective than water application, and there was no significant difference in the control group (P > .05).
Conclusions: Postoperative oral water/ice application was an effective and safe nursing intervention to reduce thirst, dry mouth, dry throat, and difficulty in swallowing. Ice application was more effective.
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http://dx.doi.org/10.1016/j.jopan.2024.05.013 | DOI Listing |
Nat Commun
January 2025
Université Paris-Saclay, CNRS, Institut des neurosciences Paris-Saclay, 91400, Saclay, France.
To ensure their survival, animals must be able to respond adaptively to threats within their environment. However, the precise neural circuit mechanisms that underlie flexible defensive behaviors remain poorly understood. Using neuronal manipulations, machine learning-based behavioral detection, electron microscopy (EM) connectomics and calcium imaging in Drosophila larvae, we map second-order interneurons that are differentially involved in the competition between defensive actions in response to competing aversive cues.
View Article and Find Full Text PDFNat Commun
January 2025
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Polar Terrestrial Environmental Systems, 14473, Potsdam, Germany.
A nearly ubiquitous negative relationship between taxonomic richness and mean range-size (average area of taxa) is observed across space. However, the complexity of the mechanism limits its applicability for conservation or range prediction. We explore whether the relationship holds over time, and whether plant speciation, environmental heterogeneity, or plant interactions are major factors of the relationship within northeast Siberia and Alaska.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Economics and Management, North China Electric Power University, Beijing, China. Electronic address:
In order to reduce the unpredictability of carbon prices caused by their increasingly prominent environmental and market attributes, and to minimize their negative impact on carbon trading, further research on forecasting models for carbon price is urgently needed. To improve the accuracy of prediction, this paper proposes a carbon price forecasting method based on SSA-NSTransformer. The method includes four main steps: Firstly, decomposition of carbon price signals, using Singular Spectrum Analysis to remove noise signals; Secondly, analysis of influencing factors, using Random Forest to identify and select key influencing factors of carbon price signal components from energy price, financial market, socio-economic, and environmental aspects; Furthermore, influencing factors prediction, considering the impact of different carbon reduction targets and predicting future trends of influencing factors; And finally, carbon price prediction, considering the impact of factors based on multi-stage carbon reduction targets, using Non-stationary Transformer to predict the signal components of carbon prices, reconstructing the carbon price time series, and testing the model accuracy.
View Article and Find Full Text PDFJ Phys Chem A
January 2025
Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States.
Aerosols containing biological material (i.e., bioaerosols) impact public health by transporting toxins, allergens, and diseases and impact the climate by nucleating ice crystals and cloud droplets.
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