Tag: pubmed

Zh Nevrol Psikhiatr Im S S Korsakova. 2021;121(7. Vyp. 2):94-98. doi: 10.17116/jnevro202112107294.

ABSTRACT

One of the leading symptoms in patients with multiple sclerosis (MS) is cognitive impairment. It often affects aspects of cognition such as learning ability, memory, processing speed, and attention. It has been proven that patients often complain of difficulties in multitasking and choosing the right words. These problems are often underestimated. Various studies show that regular physical activity, mainly aerobic exercise, can potentially improve cognitive function. Positive effects on concentration, memory, and multitasking were described. In March 2019, the Tyumen regional center of MS, together with the clinical Institute of the brain (Yekaterinburg), launched a clinical study of methods for rehabilitation of cognitive disorders in patients with MS. There was a statistically significant improvement in MOCA-test scores, according to SDMT and PASSAT data in the main group of MS patients. Despite a significant improvement in cognitive function, the self-assessment of mental function according to the MSQOL54-MN test in this group of patients did not change. Our preliminary results suggest that a comprehensive and well-controlled training program can improve cognitive abilities in MS patients even after a short course of treatment.

PMID:34387454 | DOI:10.17116/jnevro202112107294

J Comput Chem. 2021 Aug 13. doi: 10.1002/jcc.26734. Online ahead of print.

ABSTRACT

AutoMeKin2021 is an updated version of tsscds2018, a program for the automated discovery of reaction mechanisms (J. Comput. Chem. 2018, 39, 1922). This release features a number of new capabilities: rare-event molecular dynamics simulations to enhance reaction discovery, extension of the original search algorithm to study van der Waals complexes, use of chemical knowledge, a new search algorithm based on bond-order time series analysis, statistics of the chemical reaction networks, a web application to submit jobs, and other features. The source code, manual, installation instructions and the website link are available at: https://rxnkin.usc.es/index.php/AutoMeKin.

PMID:34387374 | DOI:10.1002/jcc.26734

J Ultrasound Med. 2021 Aug 13. doi: 10.1002/jum.15804. Online ahead of print.

ABSTRACT

OBJECTIVE: To explore the clinical value of contrast-enhanced ultrasound (CEUS) in the differential diagnosis of benign and malignant subpleural pulmonary lesions (SPLs).

METHODS: Among 959 patients with SPLs who were scheduled to undergo ultrasound-guided puncture in our department between January 2019 and June 2019, 506 patients were included and their B-mode ultrasound and CEUS features, including the lesion’s location, size, margin, echo, perfusion pattern of ultrasound contrast agent, degree of enhancement, homogeneity, vascular signs, and necrosis, were retrospectively investigated. All malignant cases were diagnosed by pathology, while benign cases were diagnosed by two respiratory physicians after comprehensive analysis of pathology, etiology, imaging, and clinical symptoms. Statistical differences in these features between the benign and malignant groups were then analyzed.

RESULTS: There were 506 cases in this study, including 219 benign cases and 287 malignant cases. Among them, 351 were males and 155 were females, with an average age of 59 ± 16 years. There were statistically significant differences between benign and malignant groups in the perfusion pattern, the degree of enhancement, and vascular signs. The features of the malignant group included local-to-whole perfusion pattern, hypo-enhancement, and curly hair sign, while those of the benign group included a centrifugal perfusion pattern, iso-enhancement and hyper-enhancement, and dendritic sign. There was no statistically significant difference between the two groups in homogeneity and necrosis.

CONCLUSIONS: CEUS enhancement mode is different between benign and malignant SPLs, which can provide supplementary information for the differential diagnosis of SPLs in the existing imaging diagnosis.

PMID:34387377 | DOI:10.1002/jum.15804

Hum Mol Genet. 2021 Aug 13:ddab229. doi: 10.1093/hmg/ddab229. Online ahead of print.

ABSTRACT

Alzheimer’s disease (ad) adversely affects the health, quality of life and independence of patients. There is a critical need to identify novel blood gene biomarkers for ad risk assessment. We performed a transcriptome-wide association study to identify biomarker candidates for ad risk. We leveraged two sets of gene expression prediction models of blood developed using different reference panels and modelling strategies. By applying the prediction models to a meta-GWAS including 71 880 (proxy) cases and 383 378 (proxy) controls, we identified significant associations of genetically determined expression of 108 genes in blood with ad risk. Of these, 15 genes were differentially expressed between ad patients and controls with concordant directions in measured expression data. With evidence from the analyses based on both genetic instruments and directly measured expression levels, this study identifies 15 genes with strong support as biomarkers in blood for ad risk, which may enhance ad risk assessment and mechanism-focused studies.

PMID:34387340 | DOI:10.1093/hmg/ddab229

Syst Biol. 2021 Aug 13:syab067. doi: 10.1093/sysbio/syab067. Online ahead of print.

ABSTRACT

Using time-reversible Markov models is a very common practice in phylogenetic analysis, because although we expect many of their assumptions to be violated by empirical data, they provide high computational efficiency. However, these models lack the ability to infer the root placement of the estimated phylogeny. In order to compensate for the inability of these models to root the tree, many researchers use external information such as using outgroup taxa or additional assumptions such as molecular-clocks. In this study, we investigate the utility of non-reversible models to root empirical phylogenies and introduce a new bootstrap measure, the rootstrap, which provides information on the statistical support for any given root position. Availability and implementation: rootstrap support is implemented in IQ-TREE 2 and a tutorial is available at the iqtree webpage http://www.iqtree.org/doc/Rootstrap. In addition, a python script is available at https://github.com/suhanaser/Rootstrap.

PMID:34387349 | DOI:10.1093/sysbio/syab067

Med Phys. 2021 Aug 13. doi: 10.1002/mp.15161. Online ahead of print.

ABSTRACT

PURPOSE: Convolutional neural network (CNN)-based denoising is an effective method for reducing complex computed tomography (CT) noise. However, the image blur induced by denoising processes is a major concern. The main source of image blur is the pixel-level loss (e.g., mean-squared-error (MSE) and mean-absolute-error (MAE)) used to train a CNN denoiser. To reduce the image blur, feature-level loss is utilized to train a CNN denoiser. A CNN denoiser trained using VGG loss can preserve the small structures, edges, and texture of the image. However, VGG loss, derived from an ImageNet-pretrained image classifier, is not optimal for training a CNN denoiser for CT images. ImageNet contains natural RGB images, so the features extracted by the ImageNet-pretrained model cannot represent the characteristics of CT images that are highly correlated with diagnosis. Furthermore, a CNN denoiser trained with VGG loss causes bias in CT number. Therefore, we propose to use a binary classification network trained using CT images as a feature extractor and newly define the feature-level loss as observer loss.

METHODS: As obtaining labeled CT images for training classification network is difficult, we create labels by inserting simulated lesions. We conduct two separate classification tasks, signal-known-exactly (SKE) and signal-known-statistically (SKS), and define the corresponding feature-level losses as SKE loss and SKS loss, respectively. We use SKE loss and SKS loss to train CNN denoiser.

RESULTS: Compared to pixel-level losses, a CNN denoiser trained using observer loss (i.e., SKE loss and SKS loss) is effective in preserving structure, edge, and texture. Observer loss also resolves the bias in CT number, which is a problem of VGG loss. Comparing observer losses using SKE and SKS tasks, SKS yields images having a more similar noise structure to reference images.

CONCLUSIONS: Using observer loss for training CNN denoiser is effective to preserve structure, edge, and texture in denoised images and prevent the CT number bias. In particular, when using SKS loss, denoised images having a similar noise structure to reference images are generated.

PMID:34387360 | DOI:10.1002/mp.15161

Phys Chem Chem Phys. 2021 Aug 13. doi: 10.1039/d1cp02800f. Online ahead of print.

ABSTRACT

The kinetic behavior of vapor adsorption on a solid surface in an isobaric-isothermal system is investigated by means of molecular dynamics simulations combined with theoretical studies through a statistical rate theory approach. The molecular insights into the formation and evolution of clusters in the adsorbate are presented. Results show that the argon vapor is adsorbed on the silicon surface as different types of clusters. In the initial stage of adsorption, the empty adsorption sites on the surface decrease, and the adsorbed single-molecule-cluster grows rapidly and dominates the interface. The increasing rate of the adsorbed cluster and the declining rate of the empty adsorption site are dependent on the pressure ratio. For a large pressure ratio, the single-molecule-clusters are aggregated to incubate large clusters, and the fraction of a single-molecule-cluster is decreased with time. When the adsorption isotherm is determined, the chemical potential of the adsorbed cluster is expressed from the zeta isotherm model. Then the adsorption kinetics are analyzed through the statistical rate theory. The molecular exchange rate and the instantaneous driving force are calculated. The higher pressure ratio induces the larger chemical potential difference and accelerates the net adsorption rate. The adsorption kinetics derived from MD simulations are in close agreement with the theoretical analysis of the statistical rate theory.

PMID:34387292 | DOI:10.1039/d1cp02800f

JBI Evid Synth. 2021 Aug 12. doi: 10.11124/JBIES-20-00385. Online ahead of print.

ABSTRACT

OBJECTIVE: The aim of this systematic review was to determine the safety and effectiveness of parent- or nurse-controlled analgesia on neonatal patient outcomes. More specifically, the objective was to determine the effect of parent- or nurse-controlled analgesia on neonatal pain scores, analgesic use, and incidence of iatrogenic withdrawal syndrome, as well as any opioid-associated adverse events.

INTRODUCTION: Despite recent innovations in neonatology leading to significant improvements in short- and long-term outcomes for newborns requiring intensive care, optimal management of pain and distress remains a challenge for the treating multidisciplinary team. The inability of neonates to communicate pain easily, inconsistent practice among health professionals, insufficient analgesic prescriptions, and delays in medical reviews all impact effective pain management. Exploring the effect of parent- or nurse-controlled analgesia may identify a modality that negates these concerns and improves the pharmacological management of pain in newborns.

INCLUSION CRITERIA: This review considered experimental and observational studies evaluating the safety and effectiveness of parent- or nurse-controlled analgesia that included babies born at 23 weeks’ gestation to four weeks post-term. The interventions considered for inclusion were any type of analgesia delivered by an infusion pump that allowed bolus dosing or a continuous analgesic infusion with bolus dosing as required. Studies using algorithms and protocols to guide timing and dosage were eligible for inclusion. Comparators included the standard management of pain for neonates in the newborn intensive care unit. A modification to the a priori protocol was made to include all neonates nursed outside of a neonatal intensive care unit to ensure all studies that examined the use of parent- or nurse-controlled analgesia in the neonatal population were included in the review.

METHODS: An extensive search of six major databases was conducted (CINAHL, Cochrane Library, Embase, PubMed, PsycINFO, and Web of Science). Studies published from 1997 to 2020 in English were considered for inclusion in this review. Databases searched for unpublished studies included MedNar and ProQuest Dissertations and Theses.

RESULTS: Fourteen studies were included in this review: two randomized controlled trials, six quasi-experimental studies, one case-control study, and five case series. There was considerable heterogeneity in the interventions and study outcome measures within the studies, resulting in an inability to statistically pool results. The small sample sizes and inability to distinguish data specific to neonates in six of the studies resulted in low quality of evidence for the safety and effectiveness of parent- or nurse-controlled analgesia in neonates. However, studies reporting neonatal data demonstrated low pain scores and a trend in reduced opioid consumption when parent- or nurse-controlled analgesia was used.

CONCLUSIONS: The use of parent- or nurse-controlled analgesia in the neonatal population has shown some effect in reducing the amount of opioid analgesia required without compromising pain relief or increasing the risk of adverse events. Due to the paucity of evidence available, certainty of the results is compromised; therefore, larger trials exploring the use of parent- or nurse-controlled analgesia in neonates and the development of nurse-led models for analgesia delivery are needed.

SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42018114382.

PMID:34387281 | DOI:10.11124/JBIES-20-00385

JBI Evid Synth. 2021 Aug 12. doi: 10.11124/JBIES-20-00387. Online ahead of print.

ABSTRACT

OBJECTIVE: This review aims to examine the effect of patient activation interventions compared with usual care on health-related behavioral outcomes in adults with chronic kidney disease stages 3-5.

INTRODUCTION: Chronic kidney disease is a global health problem associated with a high mortality, reduction of health-related quality of life, and high health care costs. The chronic nature requires active involvement and self-management of the person with chronic kidney disease. Patient activation is a self-management approach that refers to the knowledge, confidence, and skills of people to enable them to manage their own health needs. However, the effectiveness of patient activation interventions on health-related behavioral outcomes in this population have not yet been systematically evaluated.

INCLUSION CRITERIA: This systematic review will include primary research studies measuring the effect of behavioral change interventions addressing beliefs, knowledge, confidence, and/or skills to optimize self-management in adult patients with chronic kidney disease stages 3-5 who are not receiving dialysis. Studies included in this review will be randomized controlled trials.

METHODS: Published studies will be searched in MEDLINE, Embase, Emcare, and PsycINFO. Unpublished studies and gray literature sources will also be searched. Titles and abstracts of search results published in English from 2005 onward will be screened, and the full text of potentially relevant studies will be assessed in detail. Studies selected for inclusion will undergo critical appraisal. Data extracted will include specific details about population, study methods, interventions, and outcomes. Studies will be pooled in statistical meta-analysis, if possible.

SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42020205084.

PMID:34387282 | DOI:10.11124/JBIES-20-00387

J ECT. 2021 Aug 12. doi: 10.1097/YCT.0000000000000800. Online ahead of print.

ABSTRACT

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has led to reported change in electroconvulsive therapy (ECT) services worldwide. However, minimal data have been published demonstrating tangible changes across multiple ECT centers. This article aimed to examine changes in ECT patients and ECT service delivery during the pandemic.

METHODS: We retrospectively assessed data collected on ECT patients within the Clinical Alliance and Research in Electroconvulsive Therapy and Related Treatments (CARE) Network during a 3-month period starting at the first COVID-19 restrictions in 2020 and compared data with predicted values based on the corresponding 3-month period in 2019. Mixed-effects repeated-measures analyses examined differences in the predicted and actual number of acute ECT courses started and the total number of acute ECT treatments given in 2020. Sociodemographic, clinical, treatment factors, and ECT service delivery factors were compared for 2020 and 2019.

RESULTS: Four Australian and 1 Singaporean site participated in the study. There were no significant differences between the predicted and actual number of acute ECT courses and total number of acute ECT treatments administered in 2020. During 2020, there were statistically significant increases in the proportion of patients requiring ECT under substitute consent and receiving ECT for urgent reasons compared with 2019.

CONCLUSIONS: This multisite empirical study is among the first that supports anecdotal reports of changes in the triaging and delivery of ECT during COVID-19. Results suggest that ECT was prioritized for the most severely ill patients. Further data assessing the impacts of COVID-19 on ECT are needed.

PMID:34387286 | DOI:10.1097/YCT.0000000000000800