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https://www.readbyqxmd.com/read/28804727/development-of-a-prediction-model-for-stress-fracture-during-an-intensive-physical-training-program-the-royal-marines-commandos
#1
Maria T Sanchez-Santos, Trish Davey, Kirsten M Leyland, Adrian J Allsopp, Susan A Lanham-New, Andrew Judge, Nigel K Arden, Joanne L Fallowfield
BACKGROUND: Stress fractures (SFs) are one of the more severe overuse injuries in military training, and therefore, knowledge of potential risk factors is needed to assist in developing mitigating strategies. PURPOSE: To develop a prediction model for risk of SF in Royal Marines (RM) recruits during an arduous military training program. STUDY DESIGN: Case-control study; Level of evidence, 3. METHODS: RM recruits (N = 1082; age range, 16-33 years) who enrolled between September 2009 and July 2010 were prospectively followed through the 32-week RM training program...
July 2017: Orthopaedic Journal of Sports Medicine
https://www.readbyqxmd.com/read/28804594/does-trauma-event-type-matter-in-the-assessment-of-traumatic-load
#2
Daniela Conrad, Sarah Wilker, Anett Pfeiffer, Birke Lingenfelder, Tracie Ebalu, Hartmut Lanzinger, Thomas Elbert, Iris-Tatjana Kolassa, Stephan Kolassa
Background: The likelihood of developing Posttraumatic Stress Disorder (PTSD) depends on the interaction of individual risk factors and cumulative traumatic experiences. Hence, the identification of individual susceptibility factors warrants precise quantification of trauma exposure. Previous research indicated that some traumatic events may have more severe influences on mental health than others; thus, the assessment of traumatic load may be improved by weighting event list items rather than calculating the simple sum score...
2017: European Journal of Psychotraumatology
https://www.readbyqxmd.com/read/28804275/metabolomics-based-markers-predict-type-2-diabetes-in-a-14-year-follow-up-study
#3
Jun Liu, Sabina Semiz, Sven J van der Lee, Ashley van der Spek, Aswin Verhoeven, Jan B van Klinken, Eric Sijbrands, Amy C Harms, Thomas Hankemeier, Ko Willems van Dijk, Cornelia M van Duijn, Ayşe Demirkan
BACKGROUND: The growing field of metabolomics has opened up new opportunities for prediction of type 2 diabetes (T2D) going beyond the classical biochemistry assays. OBJECTIVES: We aimed to identify markers from different pathways which represent early metabolic changes and test their predictive performance for T2D, as compared to the performance of traditional risk factors (TRF). METHODS: We analyzed 2776 participants from the Erasmus Rucphen Family study from which 1571 disease free individuals were followed up to 14-years...
2017: Metabolomics: Official Journal of the Metabolomic Society
https://www.readbyqxmd.com/read/28800320/ensemble-methods-integrated-with-mirna-expression-data-for-predicting-mirna-targets-in-stomach-adenocarcinoma
#4
Guang-Wei Liu, Zhao-Min Qin, Qin-Hai Shen
OBJECTIVE: It is crucially important to discover the relationships between genes and microRNAs (miRNAs) in cancer. Thus, we proposed a combined bioinformatics method integrating Pearson's correlation coefficient (PCC), Lasso, and causal inference method (IDA) to identify the potential miRNA targets for stomach adenocarcinoma (STAD) using Borda count election. MATERIALS AND METHODS: Firstly, the ensemble method integrating PCC, IDA, and Lasso was used to predict miRNA targets...
July 31, 2017: Cancer Biomarkers: Section A of Disease Markers
https://www.readbyqxmd.com/read/28796930/recurrence-associated-gene-signature-optimizes-recurrence-free-survival-prediction-of-colorectal-cancer
#5
Xianglong Tian, Xiaoqiang Zhu, Tingting Yan, Chenyang Yu, Chaoqin Shen, Ye Hu, Jie Hong, Haoyan Chen, Jing-Yuan Fang
High throughput gene expression profiling has showed great promise in providing insight into molecular mechanisms. Metastasis-related mRNAs may potentially enrich genes with the ability to predict cancer recurrence,therefore we attempted to build a recurrence-associated gene signature to improve prognostic prediction of colorectal cancer (CRC). We identified 2848 differentially expressed mRNAs by analyzing CRC tissues with or without metastasis. For the selection of prognostic genes, a LASSO Cox regression model was employed...
August 10, 2017: Molecular Oncology
https://www.readbyqxmd.com/read/28790815/development-of-the-propal-copd-tool-to-identify-patients-with-copd-for-proactive-palliative-care
#6
R G Duenk, C Verhagen, E M Bronkhorst, R S Djamin, G J Bosman, E Lammers, Pnr Dekhuijzen, Kcp Vissers, Y Engels, Y Heijdra
BACKGROUND: Our objective was to develop a tool to identify patients with COPD for proactive palliative care. Since palliative care needs increase during the disease course of COPD, the prediction of mortality within 1 year, measured during hospitalizations for acute exacerbation COPD (AECOPD), was used as a proxy for the need of proactive palliative care. PATIENTS AND METHODS: Patients were recruited from three general hospitals in the Netherlands in 2014. Data of 11 potential predictors, a priori selected based on literature, were collected during hospitalization for AECOPD...
2017: International Journal of Chronic Obstructive Pulmonary Disease
https://www.readbyqxmd.com/read/28774329/feature-selection-through-validation-and-un-censoring-of-endovascular-repair-survival-data-for-predicting-the-risk-of-re-intervention
#7
Omneya Attallah, Alan Karthikesalingam, Peter J E Holt, Matthew M Thompson, Rob Sayers, Matthew J Bown, Eddie C Choke, Xianghong Ma
BACKGROUND: Feature selection (FS) process is essential in the medical area as it reduces the effort and time needed for physicians to measure unnecessary features. Choosing useful variables is a difficult task with the presence of censoring which is the unique characteristic in survival analysis. Most survival FS methods depend on Cox's proportional hazard model; however, machine learning techniques (MLT) are preferred but not commonly used due to censoring. Techniques that have been proposed to adopt MLT to perform FS with survival data cannot be used with the high level of censoring...
August 3, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28769816/signal-reconstruction-of-pulmonary-vein-recordings-using-a-phenomenological-mathematical-model-application-to-pulmonary-vein-isolation-therapy
#8
Harry D Green, Glyn Thomas, John R Terry
Atrial fibrillation (AF), the most prevalent cardiac arrhythmia, is commonly initiated by ectopic beats originating from a small myocardial sleeve extending over the pulmonary veins. Pulmonary vein isolation therapy attempts to isolate the pulmonary veins from the left atrium by ablating tissue, commonly by using radiofrequency ablation. During this procedure, the cardiologist records electrical activity using a lasso catheter, and the activation pattern recorded is used as a guide toward which regions to ablate...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28769079/ecological-network-inference-from-long-term-presence-absence-data
#9
Elizabeth L Sander, J Timothy Wootton, Stefano Allesina
Ecological communities are characterized by complex networks of trophic and nontrophic interactions, which shape the dy-namics of the community. Machine learning and correlational methods are increasingly popular for inferring networks from co-occurrence and time series data, particularly in microbial systems. In this study, we test the suitability of these methods for inferring ecological interactions by constructing networks using Dynamic Bayesian Networks, Lasso regression, and Pear-son's correlation coefficient, then comparing the model networks to empirical trophic and nontrophic webs in two ecological systems...
August 2, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28766588/redox-controlled-self-inclusion-of-a-lasso-type-pseudo-1-rotaxane
#10
Hendrik V Schröder, Jan M Wollschläger, Christoph A Schalley
The self-inclusion behavior of a tetrathiafulvalene-containing lasso-type pseudo[1]rotaxane can be reversibly switched between threaded and non-threaded states by redox-stimuli. The switching mechanism was investigated by cyclic voltammetry in solution and monitored by ion mobility mass spectrometry in the gas phase.
August 2, 2017: Chemical Communications: Chem Comm
https://www.readbyqxmd.com/read/28761672/adjunctive-interpulmonary-isthmus-ablation-has-no-added-effects-on-atrial-fibrillation-recurrence
#11
Shunichi Higashiya, Hirosuke Yamaji, Takashi Murakami, Kazuyoshi Hina, Hiroshi Kawamura, Masaaki Murakami, Shigeshi Kamikawa, Issei Komatsubara, Shozo Kusachi
OBJECTIVE: Data on the efficacy of adjunctive interpulmonary isthmus ablation following completion of extensive encircling pulmonary vein isolation (EEPVI) on atrial fibrillation (AF) recurrence have still been insufficient. We aimed to compare the AF recurrence between EEPVI with and without adjunctive interpulmonary isthmus ablation. METHODS: We enrolled 200 consecutive patients with paroxysmal AF (first session) who underwent EEPVI with double-Lasso technique...
2017: Open Heart
https://www.readbyqxmd.com/read/28758372/metabolomic-profiling-of-long-term-weight-change-role-of-oxidative-stress-and-urate-levels-in-weight-gain
#12
Cristina Menni, Marie Migaud, Gabi Kastenmüller, Tess Pallister, Jonas Zierer, Annette Peters, Robert P Mohney, Tim D Spector, Vincenzo Bagnardi, Christian Gieger, Steve C Moore, Ana M Valdes
OBJECTIVE: To investigate the association between long-term weight change and blood metabolites. METHODS: Change in BMI over 8.6 ± 3.79 years was assessed in 3,176 females from the TwinsUK cohort (age range: 18.3-79.6, baseline BMI: 25.11 ± 4.35) measured for 280 metabolites at follow-up. Statistically significant metabolites (adjusting for covariates) were included in a multivariable least absolute shrinkage and selection operator (LASSO) model. Findings were replicated in the Cooperative Health Research in the Region of Augsburg (KORA) study (n = 1,760; age range: 25-70, baseline BMI: 27...
July 31, 2017: Obesity
https://www.readbyqxmd.com/read/28757581/identification-of-urinary-polyphenol-metabolite-patterns-associated-with-polyphenol-rich-food-intake-in-adults-from-four-european-countries
#13
Hwayoung Noh, Heinz Freisling, Nada Assi, Raul Zamora-Ros, David Achaintre, Aurélie Affret, Francesca Mancini, Marie-Christine Boutron-Ruault, Anna Flögel, Heiner Boeing, Tilman Kühn, Ruth Schübel, Antonia Trichopoulou, Androniki Naska, Maria Kritikou, Domenico Palli, Valeria Pala, Rosario Tumino, Fulvio Ricceri, Maria Santucci de Magistris, Amanda Cross, Nadia Slimani, Augustin Scalbert, Pietro Ferrari
We identified urinary polyphenol metabolite patterns by a novel algorithm that combines dimension reduction and variable selection methods to explain polyphenol-rich food intake, and compared their respective performance with that of single biomarkers in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. The study included 475 adults from four European countries (Germany, France, Italy, and Greece). Dietary intakes were assessed with 24-h dietary recalls (24-HDR) and dietary questionnaires (DQ)...
July 25, 2017: Nutrients
https://www.readbyqxmd.com/read/28747714/transcriptomic-biomarkers-to-discriminate-bacterial-from-nonbacterial-infection-in-adults-hospitalized-with-respiratory-illness
#14
Soumyaroop Bhattacharya, Alex F Rosenberg, Derick R Peterson, Katherine Grzesik, Andrea M Baran, John M Ashton, Steven R Gill, Anthony M Corbett, Jeanne Holden-Wiltse, David J Topham, Edward E Walsh, Thomas J Mariani, Ann R Falsey
Lower respiratory tract infection (LRTI) commonly causes hospitalization in adults. Because bacterial diagnostic tests are not accurate, antibiotics are frequently prescribed. Peripheral blood gene expression to identify subjects with bacterial infection is a promising strategy. We evaluated whole blood profiling using RNASeq to discriminate infectious agents in adults with microbiologically defined LRTI. Hospitalized adults with LRTI symptoms were recruited. Clinical data and blood was collected, and comprehensive microbiologic testing performed...
July 26, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28747064/graph-lasso-based-test-for-evaluating-functional-brain-connectivity-in-sickle-cell-disease
#15
Julie Coloigner, Ronald Phlypo, Thomas D Coates, Nastasha Lepore, John C Wood
Sickle cell disease (SCD) is a vascular disorder that is often associated with recurrent ischemia-reperfusion injury, anemia, vasculopathy and strokes. These cerebral injuries are associated with neurological dysfunction, limiting the full developing potential of the patient. However, recent large studies of SCD have demonstrated that cognitive impairment occurs even in the absence of brain abnormalities on conventional magnetic resonance imaging (MRI). These observations support an emerging consensus that brain injury in SCD is diffuse and that conventional neuroimaging often underestimates the extent of injury...
July 26, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28744271/dual-induction-of-new-microbial-secondary-metabolites-by-fungal-bacterial-co-cultivation
#16
Jennifer Wakefield, Hossam M Hassan, Marcel Jaspars, Rainer Ebel, Mostafa E Rateb
The frequent re-isolation of known compounds is one of the major challenges in drug discovery. Many biosynthetic genes are not expressed under standard culture conditions, thus limiting the chemical diversity of microbial compounds that can be obtained through fermentation. On the other hand, the competition during co-cultivation of two or more different microorganisms in most cases leads to an enhanced production of constitutively present compounds or an accumulation of cryptic compounds that are not detected in axenic cultures of the producing strain under different fermentation conditions...
2017: Frontiers in Microbiology
https://www.readbyqxmd.com/read/28739164/a-sparse-representation-based-method-for-parcellation-of-the-resting-brain-and-its-application-to-treatment-resistant-major-depressive-disorder
#17
Ruiyang Ge, Daniel M Blumberger, Jonathan Downar, Zafiris J Daskalakis, Joseph C W Tham, Raymond W Lam, Fidel Vila-Rodriguez
BACKGROUND: Parcellating brain regions into functionally homogeneous subdivisions is critical for understanding normal and abnormal brain functions. NEW METHOD: In this study, we developed a new sparse representation-based parcellation method for functional magnetic resonance imaging (fMRI) data, and applied the new method to investigate functional insular subdivisions in treatment-resistant major depressive disorder (MDD). Realistic simulations were implemented to demonstrate the feasibility of the method...
July 22, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28738830/resampling-based-tests-for-lasso-in-genome-wide-association-studies
#18
Jaron Arbet, Matt McGue, Snigdhansu Chatterjee, Saonli Basu
BACKGROUND: Genome-wide association studies involve detecting association between millions of genetic variants and a trait, which typically use univariate regression to test association between each single variant and the phenotype. Alternatively, Lasso penalized regression allows one to jointly model the relationship between all genetic variants and the phenotype. However, it is unclear how to best conduct inference on the individual Lasso coefficients, especially in high-dimensional settings...
July 24, 2017: BMC Genetics
https://www.readbyqxmd.com/read/28736441/nationally-representative-equations-that-include-resistance-and-reactance-for-the-prediction-of-percent-body-fat-in-americans
#19
J Stevens, K P Truesdale, J Cai, F-S Ou, K R Reynolds, S B Heymsfield
BACKGROUND/OBJECTIVES: Resistance and reactance collected by bioelectrical impedance (BIA) can be used in equations to estimate percent body fat at relatively low cost and subject burden. To our knowledge, no such equations have been developed in a nationally representative sample. SUBJECTS/METHODS: Dual-energy X-ray absorptiometry assessed percent body fat from the 1999 to 2004 National Health and Nutrition Survey was the criterion method for development of sex-specific percent body fat equations using up to 6467 males or 4888 females 8-49 years of age...
July 24, 2017: International Journal of Obesity: Journal of the International Association for the Study of Obesity
https://www.readbyqxmd.com/read/28734365/automatic-feed-phase-identification-in-multivariate-bioprocess-profiles-by-sequential-binary-classification
#20
Ramin Nikzad-Langerodi, Edwin Lughofer, Susanne Saminger-Platz, Thomas Zahel, Patrick Sagmeister, Christoph Herwig
In this paper, we propose a new strategy for retrospective identification of feed phases from online sensor-data enriched feed profiles of an Escherichia Coli (E. coli) fed-batch fermentation process. In contrast to conventional (static), data-driven multi-class machine learning (ML), we exploit process knowledge in order to constrain our classification system yielding more parsimonious models compared to static ML approaches. In particular, we enforce unidirectionality on a set of binary, multivariate classifiers trained to discriminate between adjacent feed phases by linking the classifiers through a one-way switch...
August 22, 2017: Analytica Chimica Acta
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