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https://www.readbyqxmd.com/read/28430145/the-association-of-ankle-brachial-index-protein-energy-wasting-and-inflammation-status-with-cardiovascular-mortality-in-patients-on-chronic-hemodialysis
#1
Hideki Ishii, Hiroshi Takahashi, Yasuhiko Ito, Toru Aoyama, Daisuke Kamoi, Takashi Sakakibara, Norio Umemoto, Yoshitaka Kumada, Susumu Suzuki, Toyoaki Murohara
Protein-energy wasting (PEW) is highly prevalent in hemodialysis (HD) patients. We investigated the association of abnormal ankle brachial index (ABI), PEW, and chronic inflammation status with clinical prognosis in HD patients. A total of 973 HD patients were enrolled and were followed-up for 8 years. As a marker of the PEW, geriatric nutritional risk index (GNRI) was used. Cut-off levels were 91.2 for GNRI defined from previous studies and 1.9 mg/L for C-reactive protein (CRP) as median value, respectively...
April 21, 2017: Nutrients
https://www.readbyqxmd.com/read/28422398/do-mhealth-interventions-prevent-excessive-gestational-weight-gain
#2
S J Herring
Mobile technologies are nearly ubiquitous worldwide (Pew Research Center, Technology Device Ownership: 2015). These digital platforms hold considerable promise for delivering weight control interventions due to their broach reach, immediate scalability, and low implementation costs (Bennett G et al. Annu Rev Public Health 2009;30:273-92). There is evidence for their efficacy in promoting weight loss among non-pregnant adults with obesity (Flores Mateo G et al. J Med Internet Res 2015;17(11):e253), yet few studies have examined the feasibility and efficacy of mobile technologies for preventing excessive weight gain in pregnant women at highest risk...
April 19, 2017: BJOG: An International Journal of Obstetrics and Gynaecology
https://www.readbyqxmd.com/read/28420212/nutritional-status-predicts-10-year-mortality-in-patients-with-end-stage-renal-disease-on-hemodialysis
#3
Shin Sook Kang, Jai Won Chang, Yongsoon Park
Protein-energy wasting (PEW) is associated with mortality in patients with end-stage renal disease (ESRD) on maintenance hemodialysis. The correct diagnosis of PEW is extremely important in order to predict clinical outcomes. However, it is unclear which parameters should be used to diagnose PEW. Therefore, this retrospective observational study investigated the relationship between mortality and nutritional parameters in ESRD patients on maintenance hemodialysis. A total of 144 patients were enrolled. Nutritional parameters, including body mass index, serum albumin, dietary intake, normalized protein catabolic rate (nPCR), and malnutrition inflammation score (MIS), were measured at baseline...
April 18, 2017: Nutrients
https://www.readbyqxmd.com/read/28396448/paediatric-early-warning-systems-pews-and-trigger-systems-for-the-hospitalised-child-time-to-focus-on-the-evidence
#4
EDITORIAL
Peter J Lillitos, Ian K Maconochie
No abstract text is available yet for this article.
April 10, 2017: Archives of Disease in Childhood
https://www.readbyqxmd.com/read/28371919/nutritional-assessment-of-elderly-patients-on-dialysis-pitfalls-and-potentials-for-practice
#5
Juliana Rodrigues, Lilian Cuppari, Katrina L Campbell, Carla Maria Avesani
The chronic kidney disease (CKD) population is aging. Currently a high percentage of patients treated on dialysis are older than 65 years. As patients get older, several conditions contribute to the development of malnutrition, namely protein energy wasting (PEW), which may be compounded by nutritional disturbances associated with CKD and from the dialysis procedure. Therefore, elderly patients on dialysis are vulnerable to the development of PEW and awareness of the identification and subsequent management of nutritional status is of importance...
March 22, 2017: Nephrology, Dialysis, Transplantation
https://www.readbyqxmd.com/read/28345171/spatio-angular-consistent-construction-of-neonatal-diffusion-mri-atlases
#6
Behrouz Saghafi, Jaeil Kim, Geng Chen, Feng Shi, Weili Lin, Pew-Thian Yap, Dinggang Shen
Atlases constructed using diffusion-weighted imaging are important tools for studying human brain development. Atlas construction is in general a two-step process involving spatial registration and fusion of individual images. The focus of most studies so far has been on improving the accuracy of registration while image fusion is commonly performed using simple averaging, often resulting in fuzzy atlases. In this article, we propose a patch-based method for diffusion-weighted (DW) atlas construction. Unlike other atlases that are based on the diffusion tensor model, our atlas is model-free and generated directly from the diffusion-weighted images...
March 27, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28340044/oral-ghrelin-receptor-agonist-mk-0677-increases-serum-insulin-like-growth-factor-1-in-hemodialysis-patients-a-randomized-blinded-study
#7
Garland A Campbell, James T Patrie, Bruce D Gaylinn, Michael O Thorner, Warren K Bolton
Background: . Protein-energy wasting (PEW) in end-stage renal disease (ESRD) patients is associated with increased morbidity and mortality, but options for treatment are limited. Growth hormone (GH) increases insulin-like growth factor 1 (IGF-1), with improved nutritional parameters, but must be given subcutaneously and does not provide normal GH secretion patterns. MK-0677, an oral ghrelin receptor agonist (GRA), maintains normal GH secretion and increases lean body mass in normal subjects; it has not been studied in dialysis patients, an essential step in assessing efficacy and safety prior to clinical trials...
March 3, 2017: Nephrology, Dialysis, Transplantation
https://www.readbyqxmd.com/read/28296919/image-mosaicking-using-surf-features-of-line-segments
#8
Zhanlong Yang, Dinggang Shen, Pew-Thian Yap
In this paper, we present a novel image mosaicking method that is based on Speeded-Up Robust Features (SURF) of line segments, aiming to achieve robustness to incident scaling, rotation, change in illumination, and significant affine distortion between images in a panoramic series. Our method involves 1) using a SURF detection operator to locate feature points; 2) rough matching using SURF features of directed line segments constructed via the feature points; and 3) eliminating incorrectly matched pairs using RANSAC (RANdom SAmple Consensus)...
2017: PloS One
https://www.readbyqxmd.com/read/28292743/-the-score-matters-wide-variations-in-predictive-performance-of-18-paediatric-track-and-trigger-systems
#9
Susan M Chapman, Jo Wray, Kate Oulton, Christina Pagel, Samiran Ray, Mark J Peters
OBJECTIVE: To compare the predictive performance of 18 paediatric early warning systems (PEWS) in predicting critical deterioration. DESIGN: Retrospective case-controlled study. PEWS values were calculated from existing clinical data, and the area under the receiver operator characteristic curve (AUROC) compared. SETTING: UK tertiary referral children's hospital. PATIENTS: Patients without a 'do not attempt resuscitation' order admitted between 1 January 2011 and 31 December 2012...
March 14, 2017: Archives of Disease in Childhood
https://www.readbyqxmd.com/read/28289051/paediatric-early-warning-systems-for-detecting-and-responding-to-clinical-deterioration-in-children-a-systematic-review
#10
Veronica Lambert, Anne Matthews, Rachel MacDonell, John Fitzsimons
OBJECTIVE: To systematically review the available evidence on paediatric early warning systems (PEWS) for use in acute paediatric healthcare settings for the detection of, and timely response to, clinical deterioration in children. METHOD: The electronic databases PubMed, MEDLINE, CINAHL, EMBASE and Cochrane were searched systematically from inception up to August 2016. Eligible studies had to refer to PEWS, inclusive of rapid response systems and teams. Outcomes had to be specific to the identification of and/or response to clinical deterioration in children (including neonates) in paediatric hospital settings (including emergency departments)...
March 13, 2017: BMJ Open
https://www.readbyqxmd.com/read/28286884/stability-weighted-matrix-completion-of-incomplete-multi-modal-data-for-disease-diagnosis
#11
Kim-Han Thung, Ehsan Adeli, Pew-Thian Yap, Dinggang Shen
Effective utilization of heterogeneous multi-modal data for Alzheimer's Disease (AD) diagnosis and prognosis has always been hampered by incomplete data. One method to deal with this is low-rank matrix completion (LRMC), which simultaneous imputes missing data features and target values of interest. Although LRMC yields reasonable results, it implicitly weights features from all the modalities equally, ignoring the differences in discriminative power of features from different modalities. In this paper, we propose stability-weighted LRMC (swLRMC), an LRMC improvement that weights features and modalities according to their importance and reliability...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28284800/joint-prediction-of-longitudinal-development-of-cortical-surfaces-and-white-matter-fibers-from-neonatal-mri
#12
Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen
The human brain can be modeled as multiple interrelated shapes (or a multishape), each for characterizing one aspect of the brain, such as the cortex and white matter pathways. Predicting the developing multishape is a very challenging task due to the contrasting nature of the developmental trajectories of the constituent shapes: smooth for the cortical surface and non-smooth for white matter tracts due to changes such as bifurcation. We recently addressed this problem and proposed an approach for predicting the multishape developmental spatiotemporal trajectories of infant brains based only on neonatal MRI data using a set of geometric, dynamic, and fiber-to-surface connectivity features...
March 9, 2017: NeuroImage
https://www.readbyqxmd.com/read/28257726/is-it-cloudy-in-the-pews
#13
EDITORIAL
Peter M Greco
No abstract text is available yet for this article.
March 2017: American Journal of Orthodontics and Dentofacial Orthopedics
https://www.readbyqxmd.com/read/28215493/comparison-of-nutritional-risk-scores-for-predicting-mortality-in-japanese-chronic-hemodialysis-patients
#14
Hiroshi Takahashi, Keiko Inoue, Kazue Shimizu, Keiko Hiraga, Erika Takahashi, Kaori Otaki, Taeko Yoshikawa, Kumiko Furuta, Chika Tokunaga, Tomoyo Sakakibara, Yasuhiko Ito
OBJECTIVE: Protein energy wasting (PEW) is consistently associated with poor prognosis in hemodialysis (HD) patients. We compared the predictability of PEW as diagnosed by The International Society of Renal Nutrition and Metabolism criteria (PEWISRNM) and geriatric nutritional risk index (GNRI) for all-cause mortality in Japanese HD patients. As cut-off values for body mass index (BMI) for PEW have not been established in PEWISRNM for Asian populations, these were also investigated. DESIGN AND SUBJECTS: The nutritional status from 409 HD patients was evaluated according to ISRNM and GNRI criteria...
May 2017: Journal of Renal Nutrition
https://www.readbyqxmd.com/read/28177093/-pharmacological-and-nutritional-problems-in-pregnant-patient-on-chronic-dialysis
#15
Michele Giannattasio, Federica Giannattasio, Giuseppe Gernone
Many of information on the safety of drugs during pregnancy were obtained many years ago, before the pregnant women were excluded from the study protocols for possible fetal risks. Because randomized trials in pregnancy are complex and considered unethical. For the same reasons, there are no randomized controlled trials in pregnant women on dialysis. Moreover Compared to the normal subject, the pharmacokinetics and pharmacodynamics in these patients are influenced or by pregnancy or from dialysis techniques or from chronic uremia...
January 2017: Giornale Italiano di Nefrologia: Organo Ufficiale Della Società Italiana di Nefrologia
https://www.readbyqxmd.com/read/28148738/cell-scientist-to-watch-andrew-holland
#16
(no author information available yet)
Andrew received his first degree in natural sciences from the University of Cambridge and a Masters degree from the University of Manchester, followed by a PhD with Stephen Taylor in Manchester. He then moved to California in 2007 with an EMBO long-term fellowship for his postdoctoral research with Don Cleveland at the Ludwig Institute for Cancer Research. In 2013, Andrew started his own lab as an Assistant Professor in the Department of Molecular Biology and Genetics at the Johns Hopkins University School of Medicine, having been named a Kimmel Scholar and a Pew-Stewart Scholar in 2014...
February 1, 2017: Journal of Cell Science
https://www.readbyqxmd.com/read/28090604/xq-nlm-denoising-diffusion-mri-data-via-x-q-space-non-local-patch-matching
#17
Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap
Noise is a major issue influencing quantitative analysis in diffusion MRI. The effects of noise can be reduced by repeated acquisitions, but this leads to long acquisition times that can be unrealistic in clinical settings. For this reason, post-acquisition denoising methods have been widely used to improve SNR. Among existing methods, non-local means (NLM) has been shown to produce good image quality with edge preservation. However, currently the application of NLM to diffusion MRI has been mostly focused on the spatial space (i...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28090600/learning-based-3t-brain-mri-segmentation-with-guidance-from-7t-mri-labeling
#18
Renping Yu, Minghui Deng, Pew-Thian Yap, Zhihui Wei, Li Wang, Dinggang Shen
Brain magnetic resonance image segmentation is one of the most important tasks in medical image analysis and has considerable importance to the effective use of medical imagery in clinical and surgical setting. In particular, the tissue segmentation of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is crucial for brain measurement and disease diagnosis. A variety of studies have shown that the learning-based techniques are efficient and effective in brain tissue segmentation. However, the learning-based segmentation methods depend largely on the availability of good training labels...
October 2016: Machine Learning in Medical Imaging
https://www.readbyqxmd.com/read/28070568/construction-of-neonatal-diffusion-atlases-via-spatio-angular-consistency
#19
Behrouz Saghafi, Geng Chen, Feng Shi, Pew-Thian Yap, Dinggang Shen
Atlases constructed using diffusion-weighted imaging (DWI) are important tools for studying human brain development. Atlas construction is in general a two-step process involving image registration and image fusion. The focus of most studies so far has been on improving registration thus image fusion is commonly performed using simple averaging, often resulting in fuzzy atlases. In this paper, we propose a patch-based method for DWI atlas construction. Unlike other atlases that are based on the diffusion tensor model, our atlas is model-free...
October 2016: Patch-Based Techniques in Medical Imaging: Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings. Patch-MI (Workshop) (2nd: 2016: Athens, Greece)
https://www.readbyqxmd.com/read/28066844/tight-graph-framelets-for-sparse-diffusion-mri-q-space-representation
#20
Pew-Thian Yap, Bin Dong, Yong Zhang, Dinggang Shen
In diffusion MRI, the outcome of estimation problems can often be improved by taking into account the correlation of diffusion-weighted images scanned with neighboring wavevectors in q-space. For this purpose, we propose in this paper to employ tight wavelet frames constructed on non-flat domains for multi-scale sparse representation of diffusion signals. This representation is well suited for signals sampled regularly or irregularly, such as on a grid or on multiple shells, in q-space. Using spectral graph theory, the frames are constructed based on quasi-affine systems (i...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
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