Pressure Injury Link to Entropy of Abdominal Temperature

Effects of evidence-based nursing in preventing pressure ulcers in intensive care unit patients: A meta-analysis

To systematically analyse the effects of evidence-based nursing (EBN) in preventing the development of pressure ulcers (PUs) in intensive care unit (ICU) patients. We conducted a computerised search of the Embase, PubMed, Cochrane Library, Web of Science, China National Knowledge Infrastructure and Wanfang databases for randomised controlled trials on the prevention of PUs in ICU patients by EBN, published before the respective databases were established until September 2023. Two investigators independently performed literature screening, data extraction and quality assessment. A meta-analysis was performed using Stata 17.0. Eighteen papers were included, comprising 2593 patients, of whom 1297 and 1296 received EBN and conventional nursing, respectively. The incidence of PUs was 2.70% and 12.04% in the EBN and conventional nursing groups, respectively. Meta-analysis showed a statistically significantly lower incidence of PUs in the EBN group than that in the conventional nursing group (risk ratio = 0.22, 95% confidence interval: 0.16-0.32, p < 0.001). EBN interventions are more effective than conventional nursing in preventing PUs in ICU patients. However, since the literature included in this study was from China, the conclusions require further confirmation via higher-quality studies.

Application of Two-Dimensional Entropy Measures to Detect the Radiographic Signs of Tooth Resorption and Hypercementosis in an Equine Model

Dental disorders are a serious health problem in equine medicine, their early recognition benefits the long-term general health of the horse. Most of the initial signs of Equine Odontoclastic Tooth Resorption and Hypercementosis (EOTRH) syndrome concern the alveolar aspect of the teeth, thus, the need for early recognition radiographic imaging. This study is aimed to evaluate the applicability of entropy measures to quantify the radiological signs of tooth resorption and hypercementosis as well as to enhance radiographic image quality in order to facilitate the identification of the signs of EOTRH syndrome. A detailed examination of the oral cavity was performed in eighty horses. Each evaluated incisor tooth was assigned to one of four grade-related EOTRH groups (0-3). Radiographs of the incisor teeth were taken and digitally processed. For each radiograph, two-dimensional sample (SampEn2D), fuzzy (FuzzEn2D), permutation (PermEn2D), dispersion (DispEn2D), and distribution (DistEn2D) entropies were measured after image filtering was performed using Normalize, Median, and LaplacianSharpening filters. Moreover, the similarities between entropy measures and selected Gray-Level Co-occurrence Matrix (GLCM) texture features were investigated. Among the 15 returned measures, DistEn2D was EOTRH grade-related. Moreover, DistEn2D extracted after Normalize filtering was the most informative. The EOTRH grade-related similarity between DistEn2D and Difference Entropy (GLCM) confirms the higher irregularity and complexity of incisor teeth radiographs in advanced EOTRH syndrome, demonstrating the greatest sensitivity (0.50) and specificity (0.95) of EOTRH 3 group detection. An application of DistEn2D to Normalize filtered incisor teeth radiographs enables the identification of the radiological signs of advanced EOTRH with higher accuracy than the previously used entropy-related GLCM texture features.