Conectar
by Longgang Zhao, Yuan Wang, Eric Mishio Bawa, Zichun Meng, Jingkai Wei, Sarah Newman-Norlund, Tushar Trivedi, Hatice Hasturk, Roger D. Newman-Norlund, Julius Fridriksson, Anwar T. Merchant
BackgroundCognitive impairment has multiple risk factors spanning several domains, but few studies have evaluated risk factor clusters. We aimed to identify naturally occurring clusters of risk factors of poor cognition among middle-aged and older adults and evaluate associations between measures of cognition and these risk factor clusters.
MethodsWe used data from the National Health and Nutrition Examination Survey (NHANES) III (training dataset, n = 4074) and the NHANES 2011–2014 (validation dataset, n = 2510). Risk factors were selected based on the literature. We used both traditional logistic models and support vector machine methods to construct a composite score of risk factor clusters. We evaluated associations between the risk score and cognitive performance using the logistic model by estimating odds ratios (OR) and 95% confidence intervals (CI).
ResultsUsing the training dataset, we developed a composite risk score that predicted undiagnosed cognitive decline based on ten selected predictive risk factors including age, waist circumference, healthy eating index, race, education, income, physical activity, diabetes, hypercholesterolemia, and annual visit to dentist. The risk score was significantly associated with poor cognitive performance both in the training dataset (OR Tertile 3 verse tertile 1 = 8.15, 95% CI: 5.36–12.4) and validation dataset (OR Tertile 3 verse tertile 1 = 4.31, 95% CI: 2.62–7.08). The area under the receiver operating characteristics curve for the predictive model was 0.74 and 0.77 for crude model and model adjusted for age, sex, and race.
ConclusionThe model based on selected risk factors may be used to identify high risk individuals with cognitive impairment.
Non-healing wounds are one of the chronic complications of diabetes and have remained a worldwide challenge as one of the major health problems. Hyperbaric oxygen (HBO) therapy is proven to be very successful for diabetic wound treatment, for which the molecular basis is not understood. Adipocytes regulate multiple aspects of repair and may be therapeutic for inflammatory diseases and defective wound healing associated with aging and diabetes. Endothelial cell-derived extracellular vesicles could promote wound healing in diabetes. To study the mechanism by which HBO promotes wound healing in diabetes, we investigated the effect of HBO on fat cells in diabetic mice. A diabetic wound mouse model was established and treated with HBO. Haematoxylin and eosin (H&E) staining and immunofluorescence were used for the analysis of wound healing. To further explore the mechanism, we performed whole-genome sequencing on extracellular vesicles (EVs). Furthermore, we conducted in vitro experiments. Specifically, exosomes were collected from human umbilical vein endothelial cell (HUVEC) cells after HBO treatment, and then these exosomes were co-incubated with adipose tissue. The wound healing rate in diabetic mice treated with HBO was significantly higher. HBO therapy promotes the proliferation of adipose precursor cells. HUVEC-derived exosomes treated with HBO significantly promoted fat cell browning. These data clarify that HBO therapy may promote vascular endothelial cell proliferation and migration, and promote browning of fat cells through vascular endothelial cells derived exosomes, thereby promoting diabetic wound healing. This provides new ideas for the application of HBO therapy in the treatment of diabetic trauma.
by Buyu Wang, Jingwei Qi, Xiaoping An, Yuan Wang
Accurate identification of porcine cough plays a vital role in comprehensive respiratory health monitoring and diagnosis of pigs. It serves as a fundamental prerequisite for stress-free animal health management, reducing pig mortality rates, and improving the economic efficiency of the farming industry. Creating a representative multi-source signal signature for porcine cough is a crucial step toward automating its identification. To this end, a feature fusion method that combines the biological features extracted from the acoustic source segment with the deep physiological features derived from thermal source images is proposed in the paper. First, acoustic features from various domains are extracted from the sound source signals. To determine the most effective combination of sound source features, an SVM-based recursive feature elimination cross-validation algorithm (SVM-RFECV) is employed. Second, a shallow convolutional neural network (named ThermographicNet) is constructed to extract deep physiological features from the thermal source images. Finally, the two heterogeneous features are integrated at an early stage and input into a support vector machine (SVM) for porcine cough recognition. Through rigorous experimentation, the performance of the proposed fusion approach is evaluated, achieving an impressive accuracy of 98.79% in recognizing porcine cough. These results further underscore the effectiveness of combining acoustic source features with heterogeneous deep thermal source features, thereby establishing a robust feature representation for porcine cough recognition.More and more research has started to investigate the effect of peritoneal dialysis treatment on the incidence of pericatheter wound complications in chronic kidney disease (CKD). This meta-study evaluated the effect of emergency peritoneal dialysis (EPD) with conventional peritoneal dialysis (CPD) in patients with catheter-related complications. We looked up 4 databases: PubMed, EMBASE, Cochrane, and Web of Science, and analysed the data with RevMan 5. There were a total of 15 studies with 3034 participants. While the quality of the research included was fairly good, the evidence was mediocre. In the meta-analyses, the risk of leak in the conduit with PD was very high (OR, 2.48; 95% CI, 1.72, 3.59, p < 0.00001). However, for those treated with urgent medical method prior to initiation of PD, the risk for peritonitis, catheter dysfunction and bleeding was similar compared with CPD. Based on limited information, immediate initiation of PDs is advised in order to increase the quality of life for people in urgent need, except if there is no consideration for loss of fluid. The low quality of the evidence is holding up the evidence. This research, however, is also informative because of the large number of available data. Consequently, additional high quality, large, randomized controlled studies are required to establish.
The purpose of this study is to determine the impact of maggot debridement therapy (MDT) on macrophages during the healing process of diabetic foot ulcers (DFU). The activation phenotype of macrophages during wound healing following MDT was evaluated using double staining immunohistochemistry (IHC). In addition, markers associated with macrophage activation were discovered using immunoblotting and real-time polymerase chain reaction (PCR). During the process of diabetic wound healing following MDT, the presence and over-expression of M2 macrophages were observed, while the under-expression of M1 macrophages was noted. In addition, the activation markers of macrophages exhibited a correlation with the indicated Th1/Th2 cytokines. MDT interventions have the potential to modulate macrophage activity, thereby aiding in the healing of diabetic foot wounds.
To summarize evidence from systematic reviews (SRs)/meta-analyses (MAs) regarding the impact of dyadic interventions delivered to both members of a cancer dyad, including a cancer patient and caregiver (e.g. family caregiver, intimate partner).
This overview of SRs was conducted in accordance with the preferred reporting items for overviews of reviews statement.
A comprehensive search of multiple databases, including PubMed, Cochrane Library, Embase, CINAHL, Web of Science, China National Knowledge Infrastructure and Wan Fang. The methodological and reporting quality of SRs and MAs was assessed using the Assessing the Methodological Quality of Systematic Reviews 2. The quality of the included SRs/MAs was evaluated using the Grades of Recommendations, Assessment, Development and Evaluation approach.
Eighteen SRs/MAs undertook quantitative synthesis to assess the impact of dyadic interventions on cancer dyads. Both the credibility of the SRs/MAs and the evidence quality of the outcome measures were below satisfactory standards. Prior SRs/MAs revealed several limitations such as lack of pre-published protocols or research objectives, failure to report excluded studies and insufficient details on funding sources for individual studies.
Dyadic interventions may prove advantageous for the physical health and dyadic adjustment of cancer dyads. Nevertheless, the reported results of dyadic interventions on the psychological health of patient–caregiver dyads affected by cancer are inconsistent. Thus, rigorous and comprehensive studies are requisite to establish reliable evidence for conclusive determinations.
The findings of this overview can guide healthcare practitioners when considering the use of dyadic interventions for cancer dyads. Moreover, these findings have the potential to enhance the integration of these approaches into clinical practice.
Our paper presents an overview of systematic reviews, and therefore, such specific details may not be relevant to our study.
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