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According to the results obtained from the model and case study, two medical centers with the capacity of 300 and 700 should be opened if the entry points are not closed.The current study was planned to investigate the pharmacological basis of Solanum virginianum extract (SV.CR) pertaining to anxiolytic, antidepressant and memory-enhancing effects in rats. The SV.CR was analyzed in-vitro for phytoconstituents, antioxidant potential and anticholinesterase activity. The rats treated in a dose-dependent manner (25, 50 and 100 mg/kg of SV.CR) were subjected to behavioral tests for anxiety, depression and memory judgment followed by biochemical studies. A notable dose-dependent anxiolytic potential of SV.CR was observed in elevated plus maze and open field tests (P less then 0.05). The decreased immobility time of the treated rats in the forced swim test (P less then 0.01) unveiled the plant's potential to reduce depression. Moreover, SV.CR treatment also reversed scopolamine-impaired cognition (P less then 0.05) in various deployed memory and learning tasks. Biochemical studies of brain homogenates of SV.CR treated animals demonstrated decreased anticholinesterase activity and lipid peroxidation levels whereas increased levels of superoxide dismutase and glutathione peroxidase (P less then 0.05 vs scopolamine group) were noted. The scientific validation of the study supported the use of Solanum virginianum in reducing anxiety, depression and amnesia in experimental models. Phytoconstituents in SV.CR such as oleanolic acid and caffeic acid might have played a significant neuroprotective role via modulation of oxidative stress and neurochemical aspects.There are pressures to avoid use of radiological imaging throughout all healthcare due to the notion that all radiation is carcinogenic. This perception stems from the long-standing use of the linear no-threshold (LNT) assumption of risk associated with radiation exposures. This societal perception has led to relentless efforts to avoid and reduce radiation exposures to patients at great costs. Many radiation reduction campaigns have been launched to dissuade doctors from using radiation imaging. Lower-dose imaging techniques and practices are being advocated. Alternate imaging procedures are encouraged. Are these efforts warranted? Based on recent evidence, LNT ideology is shown to be defunct for risk assessment at low-dose exposure ranges which includes X-rays and CT scans. In fact, the best evidence that was once used to support LNT ideology, including the Life Span Study data, now indicates thresholds for cancer induction are high; therefore, low-dose X-rays cannot cause harm. Current practices are safe as exposures currently encountered are orders of magnitude below threshold levels shown to be harmful. As long as imaging is medically warranted, it is shown that efforts to reduce exposures that are within background radiation levels and that are also shown to enhance health by upregulating natural adaptive protection systems are definitively wasted resources.Obesity is associated with high risk and poor prognosis of breast cancer (BC). Obesity promotes BC cells proliferation via modulating the production of adipokines, including adiponectin (anti-neoplastic adipokine), leptin (carcinogenic adipokine) and inflammatory mediators. In the present study we investigated the anti-proliferative effects of liraglutide (LG; anti-diabetic and weight reducing drug) on MCF-7 human BC cells cultured in obese adipose tissue-derived stem cells-conditioned medium (ADSCs-CM) and whether this effect is mediated via modulating the adipokines in ADSCs and cancer cells. Proliferation was investigated using AlamarBlue viability test, colony forming assay and cell cycle analysis. Levels and expression of adipokines and their receptors were assayed using ELISA and RT-PCR. LG caused 48% inhibition of MCF-7 proliferation in obese ADSCs-CM, reduced the colony formation and induced G0/G1 phase arrest. LG also decreased the levels of inflammatory mediators, suppressed the expression of leptin, while increased mRNA levels of adiponectin and their receptors in obese ADSCs and cancer cells cultured in obese ADCSs-CM. In conclusion, LG could mitigate BC cell growth in obese subjects; therefore it could be used for clinical prevention and/or treatment of BC in obese subjects. It may assist to improve treatment outcomes and, reduce the mortality rate in obese patients with BC.
In the present study, we introduced a practical approach to quantify organ-specific radiation doses and investigated whether low-dose head circumference (HC)-based protocols for non-enhanced head computed tomography (CT) could reduce organs-specific radiation dose in pediatric patients while maintaining high image quality.
A total of 83 pediatric patients were prospectively recruited. Without limits to the HC, 15 patients were selected as a convention group (CON group) and underwent non-enhanced head CT scan with standard-dose protocols (tube current-time products of 250mAs). Low-dose group (LD group), including remaining 68 pediatrics were divided into 3 subgroups based on the HC 54.1-57.0 cm for LD
group (HC-based protocols of 200mAs), 51.1-54.0 cm for LD
group (HC-based protocols of 150mAs), 48.1-51.0 cm for LD
group (HC-based protocols of 100mAs). Subjective and objective image quality was evaluated and measured by 2 experienced radiologists. Radimetrics was used to calculate organs-specific radreduce the organ-specific radiation doses, while maintaining high image quality. HC can serve as a vital tool to guide personalized low-dose head CT scan for pediatric patients.The growing use of evidence-based preventive interventions for youth substance use in Latin American countries has prompted governments, researchers, and practitioners to ask if communities are ready for implementing these interventions, especially in light of the elevated costs and long-term commitment necessary for successful implementation. This study explores the construct validity of a measure of community readiness for prevention, using confirmatory factor and latent profile analyses of 7 measures theorized to be indicators of community readiness for implementing preventive interventions for youth substance use. Data were obtained from 211 community leaders in 16 communities in Colombia. Results indicate that community readiness can be represented as a unidimensional construct with multiple profiles of varying levels of readiness. Findings suggest community readiness can be measured adequately as a latent construct and that its indicators can be used diagnostically to assess areas where readiness could be improved for better implementation of evidence-based preventive interventions.
The aim of this meta-analysis was to compare the diagnostic accuracy of 18F-FDG-PET/CT and MRI in predicting the tumor response in locally advanced cervical carcinoma (LACC) treated by chemoradiotherapy (CRT).
This meta-analysis has been performed according to PRISMA guidelines. Systematic searches were conducted using PubMed and Embase databases for articles published from January 1, 2010, to January 1, 2020. By using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool, the reviewers assessed the methodological quality scores of the selected studies. We analyzed the sensitivity, specificity, and accuracy of two diagnostic methods using Meta-DiSc 1.4 and Stata 15.
An overall of 15 studies including 1132 patients were included. Sensitivities of PET/CT and MRI were 83.5% and 82.7%, while the corresponding rates for specificities were 77.8% and 68.4%, respectively. The DOR, PLR, and NLR for MRI were 15.140, 2.92, and 22.6. PET/CT had a DOR of 25.21. The PLR and NLR for PET/CT were 4.13 in LACC patients. MRI showed a really poor sensitivity in the detection of metastases, and PET/CT performed significantly better. However, the difference between these two methods in the detection of residual disease was not significant. More studies are needed to be conducted in order to approve that 18F-FDG PET/CT can be a standard option to assess the treatment response.
This study aimed to estimate the diagnostic accuracy of machine learning- (ML-) based radiomics in differentiating high-grade gliomas (HGG) from low-grade gliomas (LGG) and to identify potential covariates that could affect the diagnostic accuracy of ML-based radiomic analysis in classifying gliomas.
A primary literature search of the PubMed database was conducted to find all related literatures in English between January 1, 2009, and May 1, 2020, with combining synonyms for "machine learning," "glioma," and "radiomics." Five retrospective designed original articles including LGG and HGG subjects were chosen. Pooled sensitivity, specificity, their 95% confidence interval, area under curve (AUC), and hierarchical summary receiver-operating characteristic (HSROC) models were obtained.
The pooled sensitivity when diagnosing HGG was higher (96% (95% CI 0.93, 0.98)) than the specificity when diagnosing LGG (90% (95% CI 0.85, 0.93)). selleck chemicals Heterogeneity was observed in both sensitivity and specificity. Metaregression confirmed the heterogeneity in sample sizes (
=0.05), imaging sequence types (
=0.02), and data sources (
=0.01), but not for the inclusion of the testing set (
=0.19), feature extraction number (
=0.36), and selection of feature number (
=0.18). The results of subgroup analysis indicate that sample sizes of more than 100 and feature selection numbers less than the total sample size positively affected the diagnostic performance in differentiating HGG from LGG.
This study demonstrates the excellent diagnostic performance of ML-based radiomics in differentiating HGG from LGG.
This study demonstrates the excellent diagnostic performance of ML-based radiomics in differentiating HGG from LGG.The COVID-19 pandemic suddenly changed the scene of primary care visits. As clinics abruptly transitioned to telehealth visits, health care providers and students were required to use digital technologies to deliver health care from a distance. This article highlights 5 steps used by faculty to integrate telehealth concepts into the graduate curriculum for all advanced practice registered nurse programs. As patients and providers recognize its widespread acceptance, telehealth will likely have a permanent place in traditional health care delivery long after the COVID-19 pandemic.The COVID-19 pandemic forced the US health care system to evaluate alternative care delivery strategies to reduce the risk of coronavirus transmission to patients and health care providers. Telehealth modalities are a safe and effective alternative to face-to-face visits for primary and psychiatric care. Federal policy makers approved changes to telehealth reimbursement coverage and allowed flexibility of location for patients and providers. This article describes the transition of patient visits to telehealth by nurse practitioner faculty at an academic medical center to maintain continuity of care of underserved patient populations. This pivot facilitated resumption of clinical learning experiences for nurse practitioner students.The purpose of this article is to inform nurse practitioners and other healthcare professionals regarding the utilization of CardioMEMs, a wireless pulmonary artery pressure monitoring device, in reducing heart failure-related hospital readmission rates. This article will briefly explain how CardioMEMs also helps to reduce the risk of Covid-19 in patients with heart failure.
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