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https://www.readbyqxmd.com/read/29148413/variable-impacts-of-different-remission-states-on-health-related-quality-of-life-in-rheumatoid-arthritis
#1
Margaret H Y Ma, Fowzia Ibrahim, Gabrielle H Kingsley, Andrew Cope, David L Scott
OBJECTIVES: Targeting remission in rheumatoid arthritis (RA) improves health-related quality of life (HRQoL) and disability. However, the impacts of different remission criteria and durations and their frequencies are uncertain. Our observational study assessed these factors. METHODS: We recruited RA patients with disease durations <10 years, stable suppressive therapies and stable disease activity scores for 28 joints using ESR (DAS28-ESR) ≤3.2. Intermittent and sustained remisisons were classified using DAS28ESR, simple disease activity index (SDAI) and ACR/EULAR Boolean criteria...
October 23, 2017: Clinical and Experimental Rheumatology
https://www.readbyqxmd.com/read/29142030/plasma-microrna-profiles-in-patients-with-early-rheumatoid-arthritis-responding-to-adalimumab-plus-methotrexate-vs-methotrexate-alone-a-placebo-controlled-clinical-trial
#2
Jacob Sode, Sophine B Krintel, Anting Liu Carlsen, Merete L Hetland, Julia S Johansen, Kim Hørslev-Petersen, Kristian Stengaard-Pedersen, Torkell Ellingsen, Mark Burton, Peter Junker, Mikkel Østergaard, Niels H H Heegaard
OBJECTIVE: The aim was to identify plasma (i.e., cell-free) microRNA (miRNA) predicting antitumor necrosis and/or methotrexate (MTX) treatment response in patients enrolled in an investigator-initiated, prospective, double-blinded, placebo-controlled trial (The OPERA study, NCT00660647). METHODS: We included 180 disease-modifying antirheumatic drug-naive patients with early rheumatoid arthritis (RA) randomized to adalimumab (ADA; n = 89) or placebo (n = 91) in combination with MTX...
November 15, 2017: Journal of Rheumatology
https://www.readbyqxmd.com/read/29133455/how-causal-analysis-can-reveal-autonomy-in-models-of-biological-systems
#3
William Marshall, Hyunju Kim, Sara I Walker, Giulio Tononi, Larissa Albantakis
Standard techniques for studying biological systems largely focus on their dynamical or, more recently, their informational properties, usually taking either a reductionist or holistic perspective. Yet, studying only individual system elements or the dynamics of the system as a whole disregards the organizational structure of the system-whether there are subsets of elements with joint causes or effects, and whether the system is strongly integrated or composed of several loosely interacting components. Integrated information theory offers a theoretical framework to (1) investigate the compositional cause-effect structure of a system and to (2) identify causal borders of highly integrated elements comprising local maxima of intrinsic cause-effect power...
December 28, 2017: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/29128457/getting-the-most-out-of-on-line-literature-searches-more-on-boolean-logic
#4
Dirk M Elston
No abstract text is available yet for this article.
November 8, 2017: Journal of the American Academy of Dermatology
https://www.readbyqxmd.com/read/29123602/rehabilitation-of-vulnerable-groups-in-emergencies-and-disasters-a-systematic-review
#5
REVIEW
Hojjat Sheikhbardsiri, Mohammad H Yarmohammadian, Fatemeh Rezaei, Mohammad Reza Maracy
BACKGROUND: Natural and man-made disasters, especially those occurring in large scales not only result in human mortality, but also cause physical, psychological, and social disabilities. Providing effective rehabilitation services in time can decrease the frequency of such disabilities. The aim of the current study was to perform a systematic review related to rehabilitation of vulnerable groups in emergencies and disasters. METHODS: The systematic review was conducted according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines...
2017: World Journal of Emergency Medicine
https://www.readbyqxmd.com/read/29107989/insight-into-glucocorticoid-receptor-signalling-through-interactome-model-analysis
#6
Emyr Bakker, Kun Tian, Luciano Mutti, Constantinos Demonacos, Jean-Marc Schwartz, Marija Krstic-Demonacos
Glucocorticoid hormones (GCs) are used to treat a variety of diseases because of their potent anti-inflammatory effect and their ability to induce apoptosis in lymphoid malignancies through the glucocorticoid receptor (GR). Despite ongoing research, high glucocorticoid efficacy and widespread usage in medicine, resistance, disease relapse and toxicity remain factors that need addressing. Understanding the mechanisms of glucocorticoid signalling and how resistance may arise is highly important towards improving therapy...
November 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/29105556/twenty-five-years-of-french-jurisprudence-in-criminal-medical-liability
#7
Maxime Faisant, Frédérique Papin-Lefebvre, Camille Rerolle, Pauline Saint-Martin, Clotilde Rougé-Maillart
We report on a comprehensive 25-year study on criminal medical liability in France, undertaken to establish trends in the number of cases being brought before the criminal courts. We did this by querying the database on the Légifrance website using a Boolean equation (' pénal' (criminal) AND ' médecin' (physician) OR ' docteur' (doctor)). In total 539 cases were selected, in which the status of the physician either influenced the punishment imposed, or was a prerequisite for the commission of the offence...
January 1, 2017: Medicine, Science, and the Law
https://www.readbyqxmd.com/read/29096199/variable-structure-controller-design-for-boolean-networks
#8
Liangjie Sun, Jianquan Lu, Yang Liu, Tingwen Huang, Fuad E Alsaadi, Tasawar Hayat
The paper investigates the variable structure control for stabilization of Boolean networks (BNs). The design of variable structure control consists of two steps: determine a switching condition and determine a control law. We first provide a method to choose states from the reaching mode. Using this method, we can guarantee that the number of nodes which should be controlled is minimized. According to the selected states, we determine the switching condition to guarantee that the time of global stabilization in the BN is the shortest...
October 13, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29094071/clinical-chronic-rhinosinusitis-outcomes-in-pediatric-patients-with-cystic-fibrosis
#9
REVIEW
Frank W Virgin
Objectives: Chronic rhinosinusitis and nasal polyposis are common conditions in cystic fibrosis (CF). Approximately 2-3% of pediatric CF patients per year have sinus disease requiring surgery. It has been well established that there is a significant negative impact on quality of life associated with chronic rhinosinusitis (CRS) in the non-CF patient population. However, the impact of CRS on the pediatric CF population remains uncertain. The purpose of this article is to review the current state of outcome measures for CRS in pediatric CF patients...
October 2017: Laryngoscope Investigative Otolaryngology
https://www.readbyqxmd.com/read/29092447/absence-of-periodic-orbits-in-digital-memcomputing-machines-with-solutions
#10
Massimiliano Di Ventra, Fabio L Traversa
In Traversa and Di Ventra [Chaos 27, 023107 (2017)] we argued, without proof, that if the non-linear dynamical systems with memory describing the class of digital memcomputing machines (DMMs) have equilibrium points, then no periodic orbits can emerge. In fact, the proof of such a statement is a simple corollary of a theorem already demonstrated in Traversa and Di Ventra [Chaos 27, 023107 (2017)]. Here, we point out how to derive such a conclusion. Incidentally, the same demonstration implies absence of chaos, a result we have already demonstrated in Di Ventra and Traversa [Phys...
October 2017: Chaos
https://www.readbyqxmd.com/read/29089750/inappropriate-pharmacological-treatment-in-older-adults-affected-by-cardiovascular-disease-and-other-chronic-comorbidities-a-systematic-literature-review-to-identify-potentially-inappropriate-prescription-indicators
#11
Ersilia Lucenteforte, Niccolò Lombardi, Davide Liborio Vetrano, Domenico La Carpia, Zuzana Mitrova, Ursula Kirchmayer, Giovanni Corrao, Francesco Lapi, Alessandro Mugelli, Alfredo Vannacci
Avoiding medications in which the risks outweigh the benefits in the elderly patient is a challenge for physicians, and different criteria to identify inappropriate prescription (IP) exist to aid prescribers. Definition of IP indicators in the Italian geriatric population affected by cardiovascular disease and chronic comorbidities could be extremely useful for prescribers and could offer advantages from a public health perspective. The purpose of the present study was to identify IP indicators by means of a systematic literature review coupled with consensus criteria...
2017: Clinical Interventions in Aging
https://www.readbyqxmd.com/read/29056906/random-forest-algorithm-for-the-classification-of-neuroimaging-data-in-alzheimer-s-disease-a-systematic-review
#12
REVIEW
Alessia Sarica, Antonio Cerasa, Aldo Quattrone
Objective: Machine learning classification has been the most important computational development in the last years to satisfy the primary need of clinicians for automatic early diagnosis and prognosis. Nowadays, Random Forest (RF) algorithm has been successfully applied for reducing high dimensional and multi-source data in many scientific realms. Our aim was to explore the state of the art of the application of RF on single and multi-modal neuroimaging data for the prediction of Alzheimer's disease. Methods: A systematic review following PRISMA guidelines was conducted on this field of study...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/29054261/development-and-validation-of-various-phenotyping-algorithms-for-diabetes-mellitus-using-data-from-electronic-health-records
#13
Santiago Esteban, Manuel Rodríguez Tablado, Francisco E Peper, Yamila S Mahumud, Ricardo I Ricci, Karin S Kopitowski, Sergio A Terrasa
BACKGROUND AND OBJECTIVE: Recent progression towards precision medicine has encouraged the use of electronic health records (EHRs) as a source for large amounts of data, which is required for studying the effect of treatments or risk factors in more specific subpopulations. Phenotyping algorithms allow to automatically classify patients according to their particular electronic phenotype thus facilitating the setup of retrospective cohorts. Our objective is to compare the performance of different classification strategies (only using standardized problems, rule-based algorithms, statistical learning algorithms (six learners) and stacked generalization (five versions)), for the categorization of patients according to their diabetic status (diabetics, not diabetics and inconclusive; Diabetes of any type) using information extracted from EHRs...
December 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29053647/efficacy-of-different-methods-used-for-dry-socket-prevention-and-risk-factor-analysis-a-systematic-review
#14
M Taberner-Vallverdú, M-Á Sánchez-Garcés, C Gay-Escoda
BACKGROUND: Dry socket is one of the most common complications that develops after the extraction of a permanent tooth, and its prevention is more effective than its treatment. OBJECTIVES: Analyze the efficacy of different methods used in preventing dry socket in order to decrease its incidence after tooth extraction. MATERIAL AND METHODS: A Cochrane and PubMed-MEDLINE database search was conducted with the search terms "dry socket", "prevention", "risk factors", "alveolar osteitis" and "fibrynolitic alveolitis", both individually and using the Boolean operator "AND"...
November 1, 2017: Medicina Oral, Patología Oral y Cirugía Bucal
https://www.readbyqxmd.com/read/29053466/classification-of-single-cell-gene-expression-trajectories-from-incomplete-and-noisy-data
#15
Alireza Karbalayghareh, Ulisses Braga-Neto, Edward Russell Dougherty
This paper studies classification of gene-expression trajectories coming from two classes, healthy and mutated (cancerous) using Boolean networks with perturbation (BNps) to model the dynamics of each class at the state level. Each class has its own BNp, which is partially known based on gene pathways. We employ a Gaussian model at the observation level to show the expression values of the genes given the hidden binary states at each time point. We use expectation maximization (EM) to learn the BNps and the unknown model parameters, derive closed-form updates for the parameters, and propose a learning algorithm...
October 16, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/29043977/a-protein-phosphatase-network-controls-the-temporal-and-spatial-dynamics-of-differentiation-commitment-in-human-epidermis
#16
Ajay Mishra, Bénédicte Oulès, Angela Oliveira Pisco, Tony Ly, Kifayathullah Liakath-Ali, Gernot Walko, Priyalakshmi Viswanathan, Matthieu Tihy, Jagdeesh Nijjher, Sara-Jane Dunn, Angus I Lamond, Fiona M Watt
Epidermal homeostasis depends on a balance between stem cell renewal and terminal differentiation. The transition between the two cell states, termed commitment, is poorly understood. Here, we characterise commitment by integrating transcriptomic and proteomic data from disaggregated primary human keratinocytes held in suspension to induce differentiation. Cell detachment induces several protein phosphatases, five of which - DUSP6, PPTC7, PTPN1, PTPN13 and PPP3CA - promote differentiation by negatively regulating ERK MAPK and positively regulating AP1 transcription factors...
October 18, 2017: ELife
https://www.readbyqxmd.com/read/29043645/a-chromatin-fiber-analysis-pipeline-to-model-dna-synthesis-and-structures-in-fission-yeast
#17
Sarah A Sabatinos, Marc D Green
Chromatin fibers, first described by Jackson and Pombo (J Cell Biol 140(6):1285-1295, 1998) are prepared from cells lysed on glass coverslips, and require minimal equipment to produce. Since the DNA is not previously treated with denaturing agents, proteins are left intact and may be used to model other DNA-based processes. Such an analysis can be daunting, without a rigorous method for analysis. We describe a pipeline for chromatin fiber use to model DNA replication complexes. Full protocols for chromatin fiber preparation and staining are presented...
2018: Methods in Molecular Biology
https://www.readbyqxmd.com/read/29036404/the-value-of-prior-knowledge-in-machine-learning-of-complex-network-systems
#18
Dana Ferranti, David Krane, David Craft
Motivation: Our overall goal is to develop machine-learning approaches based on genomics and other relevant accessible information for use in predicting how a patient will respond to a given proposed drug or treatment. Given the complexity of this problem, we begin by developing, testing and analyzing learning methods using data from simulated systems, which allows us access to a known ground truth. We examine the benefits of using prior system knowledge and investigate how learning accuracy depends on various system parameters as well as the amount of training data available...
November 15, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29035606/awareness-perception-and-barriers-to-seeking-information-from-online-academic-databases-and-medical-journals-as-sources-of-information
#19
Li Ping Wong, Sharina Mahavera Mohamad Shakir, Wen Ting Tong, Haridah Alias, Nasrin Aghamohammadi, Kulenthran Arumugam
Medical students' use of online medical journals as a source of information is crucial in the learning pathway to become medical doctors. We conducted a cross-sectional survey study among University medical students between December 2012 and March 2013 to assess their awareness, perceived usefulness, practices, and barriers to seeking information from online academic databases and medical journals. The response rate was 67.53%. The majority of the students knew of the availability of online academic databases and medical journals...
October 16, 2017: Informatics for Health & Social Care
https://www.readbyqxmd.com/read/29031703/comparative-approximations-of-criticality-in-a-neural-and-quantum-regime
#20
REVIEW
Jesse Sterling Bettinger
Under a variety of conditions, non-linear systems with many degrees of freedom tend to evolve towards complexity and criticality. Over the last few decades, a steady proliferation of models re: nonlinear and far-from-equilibrium thermodynamics of metastable, many-valued systems arose, serving as attributes of a 'critical' attractor landscape. Building off recent data citing trademark aspects of criticality in the brain-including: power-laws, scale-free (1/f) behavior (scale invariance, or scale independence, critical slowing, and avalanches-it has been conjectured that operating at criticality entails functional advantages such as: optimized neural computation and information processing; memory; large dynamical ranges; long-range communication; and "enhanced ability to react to highly diverse stimuli...
October 11, 2017: Progress in Biophysics and Molecular Biology
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