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https://www.readbyqxmd.com/read/28919795/type-2-diabetes-in-vietnam-a-cross-sectional-prevalence-based-cost-of-illness-study
#1
Nguyen Tu Dang Le, Luyen Dinh Pham, Trung Quang Vo
BACKGROUND: According to the International Diabetes Federation, total global health care expenditures for diabetes tripled between 2003 and 2013 because of increases in the number of people with diabetes as well as in the average expenditures per patient. This study aims to provide accurate and timely information about the economic impacts of type 2 diabetes mellitus (T2DM) in Vietnam. METHOD: The cost-of-illness estimates followed a prospective, prevalence-based approach from the societal perspective of T2DM with 392 selected diabetic patients who received treatment from a public hospital in Ho Chi Minh City, Vietnam, during the 2016 fiscal year...
2017: Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
https://www.readbyqxmd.com/read/28912677/reversible-axonal-dystrophy-by-calcium-modulation-in-frataxin-deficient-sensory-neurons-of-yg8r-mice
#2
Belén Mollá, Diana C Muñoz-Lasso, Fátima Riveiro, Arantxa Bolinches-Amorós, Federico V Pallardó, Angel Fernandez-Vilata, María de la Iglesia-Vaya, Francesc Palau, Pilar Gonzalez-Cabo
Friedreich's ataxia (FRDA) is a peripheral neuropathy involving a loss of proprioceptive sensory neurons. Studies of biopsies from patients suggest that axonal dysfunction precedes the death of proprioceptive neurons in a dying-back process. We observed that the deficiency of frataxin in sensory neurons of dorsal root ganglia (DRG) of the YG8R mouse model causes the formation of axonal spheroids which retain dysfunctional mitochondria, shows alterations in the cytoskeleton and it produces impairment of axonal transport and autophagic flux...
2017: Frontiers in Molecular Neuroscience
https://www.readbyqxmd.com/read/28903315/risk-assessment-models-for-genetic-risk-predictors-of-lung-cancer-using-two-stage-replication-for-asian-and-european-populations
#3
Yang Cheng, Tao Jiang, Meng Zhu, Zhihua Li, Jiahui Zhang, Yuzhuo Wang, Liguo Geng, Jia Liu, Wei Shen, Cheng Wang, Zhibin Hu, Guangfu Jin, Hongxia Ma, Hongbing Shen, Juncheng Dai
In the past ten years, great successes have been accumulated by taking advantage of both candidate-gene studies and genome-wide association studies. However, limited studies were available to systematically evaluate the genetic effects for lung cancer risk with large-scale and different ethnic populations. We systematically reviewed relevant literatures and filtered out 241 important genetic variants identified in 124 articles. A two-stage case-control study within specific subgroups was performed to assess the effects [Training set: 2,331 cases vs...
August 15, 2017: Oncotarget
https://www.readbyqxmd.com/read/28900495/differentially-expressed-lncrnas-in-gastric-cancer-patients-a-potential-biomarker-for-gastric-cancer-prognosis
#4
Xianglong Tian, Xiaoqiang Zhu, Tingting Yan, Chenyang Yu, Chaoqin Shen, Jie Hong, Haoyan Chen, Jing-Yuan Fang
Current studies indicate that long non-coding RNAs (lncRNAs) are frequently aberrantly expressed in cancers and implicated with prognosis in gastric cancer (GC). We intended to generate a multi-lncRNA signature to improve prognostic prediction of GC. By analyzing ten paired GC and adjacent normal mucosa tissues, 339 differentially expressed lncRNAs were identified as the candidate prognostic biomarkers in GC. Then we used LASSO Cox regression method to build a 12-lncRNA signature and validated it in another independent GEO dataset...
2017: Journal of Cancer
https://www.readbyqxmd.com/read/28894136/soluble-intercellular-adhesion-molecule-1-is-associated-with-hepatocellular-carcinoma-risk-multiplex-analysis-of-serum-markers
#5
Vincent L Chen, An K Le, Ondrej Podlaha, Jacqueline Estevez, Biao Li, Philip Vutien, Ellen T Chang, Yael Rosenberg-Hasson, Stefan Pflanz, Zhaoshi Jiang, Dongliang Ge, Anuj Gaggar, Mindie H Nguyen
Individualized assessment of hepatocellular carcinoma (HCC) risk in chronic liver disease remains challenging. Serum biomarkers including cytokines may offer helpful adjuncts to standard parameters for risk prediction. Our aim was to identify markers associated with increased HCC incidence. This was a prospective cohort study of 282 patients with both viral or non-viral chronic liver disease. Baseline serum cytokines and other markers were measured in multiplex with a commercially-available Luminex-based system...
September 11, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28892669/development-of-a-prediction-model-for-long-term-quality-of-life-in-critically-ill-patients
#6
Sandra Oeyen, Karel Vermeulen, Dominique Benoit, Lieven Annemans, Johan Decruyenaere
PURPOSE: We developed a prediction model for quality of life (QOL) 1 year after intensive care unit (ICU) discharge based upon data available at the first ICU day to improve decision-making. METHODS: The database of a 1-year prospective study concerning long-term outcome and QOL (assessed by EuroQol-5D) in critically ill adult patients consecutively admitted to the ICU of a university hospital was used. Cases with missing data were excluded. Utility indices at baseline (UIb) and at 1 year (UI1y) were surrogates for QOL...
September 6, 2017: Journal of Critical Care
https://www.readbyqxmd.com/read/28890183/radiomics-analysis-on-ultrasound-for-prediction-of-biologic-behavior-in-breast-invasive-ductal-carcinoma
#7
Yi Guo, Yuzhou Hu, Mengyun Qiao, Yuanyuan Wang, Jinhua Yu, Jiawei Li, Cai Chang
INTRODUCTION: In current clinical practice, invasive ductal carcinoma is always screened using medical imaging techniques and diagnosed using immunohistochemistry. Recent studies have illustrated that radiomics approaches provide a comprehensive characterization of entire tumors and can reveal predictive or prognostic associations between the images and medical outcomes. To better reveal the underlying biology, an improved understanding between objective image features and biologic characteristics is urgently required...
August 18, 2017: Clinical Breast Cancer
https://www.readbyqxmd.com/read/28885384/a-new-stem-guide-and-a-tuberosity-anchoring-lasso-system-for-shoulder-hemiarthroplasty-in-the-treatment-of-complex-proximal-humerus-fractures
#8
Philippe Valenti, Davide Aliani, Charbel Maroun, Jean-David Werthel
Hemiarthroplasty implantation for proximal humerus fracture is challenging. In case of young demanding patients with functional rotator cuff, humeral head replacement is an option if open reduction internal fixation is not a viable solution. The criteria for success in terms of clinical outcomes and longevity are anatomic healing of the tuberosities and stem positioning (restoring correct height, version, and axis). The purpose of this article is to describe a technique including a new stem guide and a tuberosity anchor "lasso" system for the implantation of hemiarthroplasty in complex proximal humerus fractures...
September 6, 2017: Techniques in Hand & Upper Extremity Surgery
https://www.readbyqxmd.com/read/28882523/role-of-intraoperative-radiotherapy-in-the-treatment-of-sacral-chordoma
#9
A C Jullien-Petrelli, J M Asencio, M I Orue-Echebarria, P Lozano, A Álvarez, J Serrano, F M Calvo, J A Calvo-Haro, J M Lasso, J L García-Sabrido
BACKGROUND CONTEXT: Sacral chordoma is a rare entity with high local recurrence rates when complete resection is not achieved. Till date, there are not any series available in literature combining surgery and intraoperative radiotherapy (IORT). PURPOSE: To report the experience of our Centre in the management of sacral chordoma combining radical resection with both external radiotherapy and intraoperative radiotherapy (IORT). STUDY DESIGN: Retrospective case series...
September 4, 2017: Spine Journal: Official Journal of the North American Spine Society
https://www.readbyqxmd.com/read/28876974/predicting-the-trends-of-social-events-on-chinese-social-media
#10
Yang Zhou, Lei Zhang, Xiaoqian Liu, Zhen Zhang, Shuotian Bai, Tingshao Zhu
Growing interest in social events on social media came along with the rapid development of the Internet. Social events that occur in the "real" world can spread on social media (e.g., Sina Weibo) rapidly, which may trigger severe consequences and thus require the government's timely attention and responses. This article proposes to predict the trends of social events on Sina Weibo, which is currently the most popular social media in China. Based on the theories of social psychology and communication sciences, we extract an unprecedented amount of comprehensive and effective features that relate to the trends of social events on Chinese social media, and we construct the trends of prediction models by using three classical regression algorithms...
September 2017: Cyberpsychology, Behavior and Social Networking
https://www.readbyqxmd.com/read/28875524/iterative-hard-thresholding-for-model-selection-in-genome-wide-association-studies
#11
Kevin L Keys, Gary K Chen, Kenneth Lange
A genome-wide association study (GWAS) correlates marker and trait variation in a study sample. Each subject is genotyped at a multitude of SNPs (single nucleotide polymorphisms) spanning the genome. Here, we assume that subjects are randomly collected unrelateds and that trait values are normally distributed or can be transformed to normality. Over the past decade, geneticists have been remarkably successful in applying GWAS analysis to hundreds of traits. The massive amount of data produced in these studies present unique computational challenges...
September 6, 2017: Genetic Epidemiology
https://www.readbyqxmd.com/read/28874087/systematic-investigations-of-gene-effects-on-both-topologies-and-supports-an-echinococcus-illustration
#12
Christophe Guyeux, Stéphane Chrétien, Nathalie M-L Côté, Jacques M Bahi
In this paper, we propose a high performance computing toolbox implementing efficient statistical methods for the study of phylogenies. This toolbox, which implements logit models and LASSO-type penalties, gives a way to better understand, measure, and compare the impact of each gene on a global phylogeny. As an application, we study the Echinococcus phylogeny, which is often considered as a particularly difficult example. Mitochondrial and nuclear genomes (19 coding sequences) of nine Echinococcus species are considered in order to investigate the molecular phylogeny of this genus...
August 16, 2017: Journal of Bioinformatics and Computational Biology
https://www.readbyqxmd.com/read/28871110/a-deep-learning-based-radiomics-model-for-prediction-of-survival-in-glioblastoma-multiforme
#13
Jiangwei Lao, Yinsheng Chen, Zhi-Cheng Li, Qihua Li, Ji Zhang, Jing Liu, Guangtao Zhai
Traditional radiomics models mainly rely on explicitly-designed handcrafted features from medical images. This paper aimed to investigate if deep features extracted via transfer learning can generate radiomics signatures for prediction of overall survival (OS) in patients with Glioblastoma Multiforme (GBM). This study comprised a discovery data set of 75 patients and an independent validation data set of 37 patients. A total of 1403 handcrafted features and 98304 deep features were extracted from preoperative multi-modality MR images...
September 4, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28867917/identifying-associations-between-brain-imaging-phenotypes-and-genetic-factors-via-a-novel-structured-scca-approach
#14
Lei Du, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L Risacher, Andrew J Saykin, Junwei Han, Lei Guo, Li Shen
Brain imaging genetics attracts more and more attention since it can reveal associations between genetic factors and the structures or functions of human brain. Sparse canonical correlation analysis (SCCA) is a powerful bi-multivariate association identification technique in imaging genetics. There have been many SCCA methods which could capture different types of structured imaging genetic relationships. These methods either use the group lasso to recover the group structure, or employ the graph/network guided fused lasso to find out the network structure...
June 2017: Information Processing in Medical Imaging: Proceedings of the ... Conference
https://www.readbyqxmd.com/read/28865333/assessing-mood-symptoms-through-heartbeat-dynamics-an-hrv-study-on-cardiosurgical-patients
#15
Claudio Gentili, Simone Messerotti Benvenuti, Daniela Palomba, Alberto Greco, Enzo Pasquale Scilingo, Gaetano Valenza
BACKGROUND: Heart Rate Variability (HRV) is reduced both in depression and in coronary heart disease (CHD) suggesting common pathophysiological mechanisms for the two disorders. Within CHD, cardiac surgery patients (CSP) with postoperative depression are at greater risk of adverse cardiac events. Therefore, CSP would especially benefit from depression early diagnosis. Here we tested whether HRV-multi-feature analysis discriminates CSP with or without depression and provides an effective estimation of symptoms severity...
August 26, 2017: Journal of Psychiatric Research
https://www.readbyqxmd.com/read/28862998/a-sequential-solution-for-anisotropic-total-variation-image-denoising-with-interval-constraints
#16
Jingyan Xu, Frédéric Noo
We show that two problems involving the anisotropic total variation (TV) and interval constraints on the unknown variables admit, under some conditions, a simple sequential solution. Problem 1 is a constrained TV penalized image denoising problem; problem 2 is a constrained fused lasso signal approximator. The sequential solution entails finding first the solution to the unconstrained problem, and then applying a thresholding to satisfy the constraints. If the interval constraints are uniform, this sequential solution solves problem 1...
September 1, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28861340/multivariate-pattern-analysis-strategies-in-detection-of-remitted-major-depressive-disorder-using-resting-state-functional-connectivity
#17
Runa Bhaumik, Lisanne M Jenkins, Jennifer R Gowins, Rachel H Jacobs, Alyssa Barba, Dulal K Bhaumik, Scott A Langenecker
Understanding abnormal resting-state functional connectivity of distributed brain networks may aid in probing and targeting mechanisms involved in major depressive disorder (MDD). To date, few studies have used resting state functional magnetic resonance imaging (rs-fMRI) to attempt to discriminate individuals with MDD from individuals without MDD, and to our knowledge no investigations have examined a remitted (r) population. In this study, we examined the efficiency of support vector machine (SVM) classifier to successfully discriminate rMDD individuals from healthy controls (HCs) in a narrow early-adult age range...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28859138/inflammatory-bowel-disease-and-patterns-of-volatile-organic-compounds-in-the-exhaled-breath-of-children-a-case-control-study-using-ion-molecule-reaction-mass-spectrometry
#18
Lorenzo Monasta, Chiara Pierobon, Andrea Princivalle, Stefano Martelossi, Annalisa Marcuzzi, Francesco Pasini, Luigi Perbellini
Inflammatory bowel diseases (IBD) profoundly affect quality of life and have been gradually increasing in incidence, prevalence and severity in many areas of the world, and in children in particular. Patients with suspected IBD require careful history and clinical examination, while definitive diagnosis relies on endoscopic and histological findings. The aim of the present study was to investigate whether the alveolar air of pediatric patients with IBD presents a specific volatile organic compounds' (VOCs) pattern when compared to controls...
2017: PloS One
https://www.readbyqxmd.com/read/28857592/case-complexity-as-a-guide-for-psychological-treatment-selection
#19
Jaime Delgadillo, Dale Huey, Hazel Bennett, Dean McMillan
OBJECTIVE: Some cases are thought to be more complex and difficult to treat, although there is little consensus on how to define complexity in psychological care. This study proposes an actuarial, data-driven method of identifying complex cases based on their individual characteristics. METHOD: Clinical records for 1,512 patients accessing low- and high-intensity psychological treatments were partitioned in 2 random subsamples. Prognostic indices predicting post-treatment reliable and clinically significant improvement (RCSI) in depression (Patient Health Questionnaire-9; Kroenke, Spitzer, & Williams, 2001) and anxiety (Generalized Anxiety Disorder-7; Spitzer, Kroenke, Williams, & Löwe, 2006) symptoms were estimated in 1 subsample using penalized (Lasso) regressions with optimal scaling...
September 2017: Journal of Consulting and Clinical Psychology
https://www.readbyqxmd.com/read/28856048/similarity-regularized-sparse-group-lasso-for-cup-to-disc-ratio-computation
#20
Jun Cheng, Zhuo Zhang, Dacheng Tao, Damon Wing Kee Wong, Jiang Liu, Mani Baskaran, Tin Aung, Tien Yin Wong
Automatic cup to disc ratio (CDR) computation from color fundus images has shown to be promising for glaucoma detection. Over the past decade, many algorithms have been proposed. In this paper, we first review the recent work in the area and then present a novel similarity-regularized sparse group lasso method for automated CDR estimation. The proposed method reconstructs the testing disc image based on a set of reference disc images by integrating the similarity between testing and the reference disc images with the sparse group lasso constraints...
August 1, 2017: Biomedical Optics Express
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