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https://www.readbyqxmd.com/read/28526434/a-systematic-review-of-portomesenteric-vein-thrombosis-after-sleeve-gastrectomy
#1
Osama Shaheen, Jacqueline Siejka, Bala Thatigotla, Dang Tuan Pham
BACKGROUND: Portomesenteric vein thrombosis (PMVT) is considered an uncommon complication in general surgery; nevertheless, with the growing popularity of sleeve gastrectomy (SG) as a bariatric procedure we have seen an increase in the occurrence of this complication. OBJECTIVES: To elucidate the question if it is a procedure-related complication and explore the modalities of prevention and treatment of this complication, a systematic review of available literature regarding PMVT events after SG was conducted...
March 27, 2017: Surgery for Obesity and related Diseases: Official Journal of the American Society for Bariatric Surgery
https://www.readbyqxmd.com/read/28523482/an-rct-investigating-patient-driven-versus-physician-driven-titration-of-biasp-30-in-patients-with-type-2-diabetes-uncontrolled-using-nph-insulin
#2
Abdelmjid Chraibi, Shoorook Al-Herz, Bich Dao Nguyen, Djoko W Soeatmadji, Anil Shinde, Balasubramanian Lakshmivenkataraman, Samir H Assaad-Khalil
INTRODUCTION: The aim of this study was to confirm the efficacy of patient-driven titration of BIAsp 30 in terms of glycemic control, by comparing it to physician-driven titration of BIAsp 30, in patients with type 2 diabetes in North Africa, the Middle East, and Asia. METHODS: A 20-week, open-label, randomized, two-armed, parallel-group, multicenter study in Egypt, Indonesia, Morocco, Saudi Arabia, and Vietnam. Patients (n = 155) with type 2 diabetes inadequately controlled using neutral protamine Hagedorn (NPH) insulin were randomized to either patient-driven or physician-driven BIAsp 30 titration...
May 18, 2017: Diabetes Therapy: Research, Treatment and Education of Diabetes and related Disorders
https://www.readbyqxmd.com/read/28520532/effectiveness-of-smartguard-technology-in-the-prevention-of-nocturnal-hypoglycemia-after-prolonged-physical-activity
#3
Lenka Petruzelkova, Klara Pickova, Zdenek Sumnik, Jan Soupal, Barbora Obermannova
BACKGROUND: The prevention of postexercise nocturnal hypoglycemia after prolonged physical activity using sensor-augmented pump (SAP) therapy with predictive low-glucose management (PLGM) has not been well studied. We conducted a study at a pediatric diabetes camp to determine whether a SAP with PLGM reduces the frequency of nocturnal hypoglycemia after prolonged physical activity more effectively than a SAP with a carbohydrate intake algorithm. METHODS: During a 1-week sport camp, 20 children (aged 10-13 years) with type 1 diabetes (T1D) managed by SAP therapy either with (n = 7) or without PLGM (n = 13) were studied...
May 2017: Diabetes Technology & Therapeutics
https://www.readbyqxmd.com/read/28514821/-the-way-to-closed-loop-dream-and-reality
#4
Torben Biester, Thomas Danne, Olga Kordonouri
An old dream of patients with type 1 diabetes and medical teams alike is a fully automated insulin therapy. Available sensor-augmented insulin-pumps are able to intervene in insulin therapy by reducing the dose. Aim of several studies is to add an algorithm to the interaction of pump and sensor, so that insulin doses can be regulated fully automatically. Totally closed loop systems are currently not yet available for outpatient use. Hybrid closed loop systems have been approved in the US. They can improve the metabolic status of patients with type 1 diabetes...
May 2017: Deutsche Medizinische Wochenschrift
https://www.readbyqxmd.com/read/28513212/an-optical-fiber-based-smart-textile-smart-socks-to-manage-biomechanical-risk-factors-associated-with-diabetic-foot-amputation
#5
Bijan Najafi, Hooman Mohseni, Gurtej S Grewal, Talal K Talal, Robert A Menzies, David G Armstrong
OBJECTIVE: This study aimed to validate a smart-textile based on fiber-optics for simultaneous measurement of plantar temperature, pressure, and joint angles in patients with diabetic peripheral neuropathy (DPN). METHODS: After in-vitro validation in the laboratory, 33 eligible subjects with DPN were recruited (age: 58 ± 8 years, BMI: 31.5 ± 8 kg/m(2)) for assessing plantar pressure and temperature during habitual gait-speed in a clinical-setting. All participants were asked to walk at their habitual speed while wearing a pair of sensorized socks made from highly flexible fiber optics (SmartSox)...
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28511641/network-based-regularization-for-high-dimensional-snp-data-in-the-case-control-study-of-type-2-diabetes
#6
Jie Ren, Tao He, Ye Li, Sai Liu, Yinhao Du, Yu Jiang, Cen Wu
BACKGROUND: Over the past decades, the prevalence of type 2 diabetes mellitus (T2D) has been steadily increasing around the world. Despite large efforts devoted to better understand the genetic basis of the disease, the identified susceptibility loci can only account for a small portion of the T2D heritability. Some of the existing approaches proposed for the high dimensional genetic data from the T2D case-control study are limited by analyzing a few number of SNPs at a time from a large pool of SNPs, by ignoring the correlations among SNPs and by adopting inefficient selection techniques...
May 16, 2017: BMC Genetics
https://www.readbyqxmd.com/read/28511066/deep-image-mining-for-diabetic-retinopathy-screening
#7
Gwenolé Quellec, Katia Charrière, Yassine Boudi, Béatrice Cochener, Mathieu Lamard
Deep learning is quickly becoming the leading methodology for medical image analysis. Given a large medical archive, where each image is associated with a diagnosis, efficient pathology detectors or classifiers can be trained with virtually no expert knowledge about the target pathologies. However, deep learning algorithms, including the popular ConvNets, are black boxes: little is known about the local patterns analyzed by ConvNets to make a decision at the image level. A solution is proposed in this paper to create heatmaps showing which pixels in images play a role in the image-level predictions...
April 28, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28509691/development-of-glucose-responsive-smart-insulin-systems
#8
Nischay K Rege, Nelson F B Phillips, Michael A Weiss
PURPOSE OF REVIEW: The complexity of modern insulin-based therapy for type I and type II diabetes mellitus and the risks associated with excursions in blood-glucose concentration (hyperglycemia and hypoglycemia) have motivated the development of 'smart insulin' technologies (glucose-responsive insulin, GRI). Such analogs or delivery systems are entities that provide insulin activity proportional to the glycemic state of the patient without external monitoring by the patient or healthcare provider...
May 15, 2017: Current Opinion in Endocrinology, Diabetes, and Obesity
https://www.readbyqxmd.com/read/28508191/investigations-of-severity-level-measurements-for-diabetic-macular-oedema-using-machine-learning-algorithms
#9
S Murugeswari, R Sukanesh
BACKGROUND: The macula is an important part of the human visual system and is responsible for clear and colour vision. Macular oedema happens when fluid and protein deposit on or below the macula of the eye and cause the macula to thicken and swell. Normally, it occurs due to diabetes called diabetic macular oedema. Diabetic macular oedema (DME) is one of the main causes of visual impairment in patients. AIM: The aims of the present study are to detect and localize abnormalities in blood vessels with respect to macula in order to prevent vision loss for the diabetic patients...
May 15, 2017: Irish Journal of Medical Science
https://www.readbyqxmd.com/read/28507087/influence-of-environmental-temperature-on-risk-of-gestational-diabetes
#10
Gillian L Booth, Jin Luo, Alison L Park, Denice S Feig, Rahim Moineddin, Joel G Ray
BACKGROUND: Cold-induced thermogenesis is known to improve insulin sensitivity, which may become increasingly relevant in the face of global warming. The aim of this study was to examine the relation between outdoor air temperature and the risk of gestational diabetes mellitus. METHODS: We identified all births in the Greater Toronto Area from 2002 to 2014 using administrative health databases. Generalized estimating equations were used to examine the relation between the mean 30-day outdoor air temperature before the time of gestational diabetes mellitus screening and the likelihood of diagnosis of gestational diabetes mellitus based on a validated algorithm using hospital records and physician service claims...
May 15, 2017: CMAJ: Canadian Medical Association Journal, Journal de L'Association Medicale Canadienne
https://www.readbyqxmd.com/read/28503676/learning-optimal-individualized-treatment-rules-from-electronic-health-record-data
#11
Yuanjia Wang, Peng Wu, Ying Liu, Chunhua Weng, Donglin Zeng
Medical research is experiencing a paradigm shift from "one-size-fits-all" strategy to a precision medicine approach where the right therapy, for the right patient, and at the right time, will be prescribed. We propose a statistical method to estimate the optimal individualized treatment rules (ITRs) that are tailored according to subject-specific features using electronic health records (EHR) data. Our approach merges statistical modeling and medical domain knowledge with machine learning algorithms to assist personalized medical decision making using EHR...
October 2016: IEEE International Conference on Healthcare Informatics IEEE International Conference on Healthcare Informatics
https://www.readbyqxmd.com/read/28498094/predictors-of-all-cause-30-day-readmission-among-medicare-patients-with-type-2-diabetes
#12
Jenna Collins, Ibrahim M Abbass, Raymond Harvey, Brandon Suehs, Claudia Uribe, Jonathan Bouchard, Todd Prewitt, Tony DeLuzio, Elsie Allen
OBJECTIVE: Readmission is costly among patients with type 2 diabetes (T2DM) in Medicare Advantage Prescription Drug Plans; identifying high-risk patients is necessary for targeting reduction programs. The objective of this study was to develop a claims-based algorithm to predict all-cause 30-day readmission among patients with T2DM. METHODS: This study used administrative data from 1/1/2012 through 1/31/2014. The cohort included hospitalized T2DM patients, aged 18-90 with ≥12 months' continuous-enrollment before an unplanned hospital admission and ≥1 month of enrollment post-discharge, excluding patients in long-term care >30 days pre-index...
May 12, 2017: Current Medical Research and Opinion
https://www.readbyqxmd.com/read/28495904/assessing-total-retinal-blood-flow-in-diabetic-retinopathy-using-multiplane-en-face-doppler-optical-coherence-tomography
#13
Alex D Pechauer, Thomas S Hwang, Ahmed M Hagag, Liang Liu, Ou Tan, Xinbo Zhang, Maria Parker, David Huang, David J Wilson, Yali Jia
AIM: To assess total retinal blood flow (TRBF) in diabetic retinopathy (DR) using multiplane en face Doppler optical coherence tomography (OCT). METHODS: A 70 kHz spectral-domain OCT system scanned a 2×2 mm area centred at the optic disc of the eyes with DR and healthy participants. The multiplane en face Doppler OCT algorithm generated a three-dimensional volumetric data set consisting of 195 en face planes. The TRBF was calculated from the maximum flow values of each branching retinal vein at an optimised en face plane...
May 11, 2017: British Journal of Ophthalmology
https://www.readbyqxmd.com/read/28495347/a-web-based-clinical-decision-support-system-for-gestational-diabetes-automatic-diet-prescription-and-detection-of-insulin-needs
#14
Estefanía Caballero-Ruiz, Gema García-Sáez, Mercedes Rigla, María Villaplana, Belen Pons, M Elena Hernando
BACKGROUND: The growth of diabetes prevalence is causing an increasing demand in health care services which affects the clinicians' workload as medical resources do not grow at the same rate as the diabetic population. Decision support tools can help clinicians with the inspection of monitoring data, providing a preliminary analysis to ease their interpretation and reduce the evaluation time per patient. This paper presents Sinedie, a clinical decision support system designed to manage the treatment of patients with gestational diabetes...
June 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/28494618/machine-learning-methods-to-predict-diabetes-complications
#15
Arianna Dagliati, Simone Marini, Lucia Sacchi, Giulia Cogni, Marsida Teliti, Valentina Tibollo, Pasquale De Cata, Luca Chiovato, Riccardo Bellazzi
One of the areas where Artificial Intelligence is having more impact is machine learning, which develops algorithms able to learn patterns and decision rules from data. Machine learning algorithms have been embedded into data mining pipelines, which can combine them with classical statistical strategies, to extract knowledge from data. Within the EU-funded MOSAIC project, a data mining pipeline has been used to derive a set of predictive models of type 2 diabetes mellitus (T2DM) complications based on electronic health record data of nearly one thousand patients...
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28487828/predictive-control-of-the-blood-glucose-level-in-type-i-diabetic-patient-using-delay-differential-equation-wang-model
#16
Mojgan Esna-Ashari, Maryam Zekri, Masood Askari, Noushin Khalili
Because of increasing risk of diabetes, the measurement along with control of blood sugar has been of great importance in recent decades. In type I diabetes, because of the lack of insulin secretion, the cells cannot absorb glucose leading to low level of glucose. To control blood glucose (BG), the insulin must be injected to the body. This paper proposes a method for BG level regulation in type I diabetes. The control strategy is based on nonlinear model predictive control. The aim of the proposed controller optimized with genetics algorithms is to measure BG level each time and predict it for the next time interval...
January 2017: Journal of Medical Signals and Sensors
https://www.readbyqxmd.com/read/28485879/evidence-for-silver-in-wound-care-meta-analysis-of-clinical-studies-from-2000-2015
#17
Joachim Dissemond, Johannes Georg Böttrich, Horst Braunwarth, Jörg Hilt, Patricia Wilken, Karl-Christian Münter
BACKGROUND: Given that the scientific evidence for silver in wound care is generally considered insufficient, there is uncertainty among users regarding its clinical use. MATERIAL AND METHODS: A group of experts evaluated the clinical studies on silver in wound management published from 2000-2015. RESULTS: Overall, 851 articles were identified, 173 of which were included and categorized. There were 31 randomized controlled trials (RCTs) and eight cohort studies...
May 2017: Journal der Deutschen Dermatologischen Gesellschaft, Journal of the German Society of Dermatology: JDDG
https://www.readbyqxmd.com/read/28484955/ranibizumab-in-the-treatment-of-diabetic-macular-edema-a-review-of-the-current-status-unmet-needs-and-emerging-challenges
#18
REVIEW
Nikolaos Dervenis, Athanasia Maria Mikropoulou, Paris Tranos, Panagiotis Dervenis
Diabetic retinopathy (more specifically diabetic macular edema, DME) is the most common cause of loss of vision in the working population in developed countries. Anti-vascular endothelial growth factor (anti-VEGF) agents considerably changed the treatment algorithms and improved prognosis of center-involving DME. Ranibizumab was the first approved anti-VEGF agent that revolutionized DME treatment. The vast increase in the number of patients undergoing intravitreal treatment and the role of anti-VEGF pharmacotherapy as the mainstay of DME treatment have triggered several challenges...
May 8, 2017: Advances in Therapy
https://www.readbyqxmd.com/read/28484225/multimodality-analysis-of-hyper-reflective-foci-and-hard-exudates-in-patients-with-diabetic-retinopathy
#19
Sijie Niu, Chenchen Yu, Qiang Chen, Songtao Yuan, Jiang Lin, Wen Fan, Qinghuai Liu
To investigate the correlations between hyper-reflective foci and hard exudates in patients with non-proliferative diabetic retinopathy (NPDR) and proliferative diabetic retinopathy (PDR) by spectral-domain optical coherence tomography (SD OCT) images. Hyper-reflective foci in retinal SD OCT images were automatically detected by the developed algorithm. Then, the cropped CFP images generated by the semi-automatic registration method were automatically segmented for the hard exudates and corrected by the experienced clinical ophthalmologist...
May 8, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28483786/faster-aspart-versus-insulin-aspart-as-part-of-a-basal-bolus-regimen-in-inadequately-controlled-type-2-diabetes-the-onset-2-trial
#20
Keith Bowering, Christopher Case, John Harvey, Michael Reeves, Michael Sampson, Robert Strzinek, Ditte-Marie Bretler, Rikke Beck Bang, Bruce W Bode
OBJECTIVE: This multicenter, double-blind, treat-to-target, phase 3 trial evaluated the efficacy and safety of fast-acting insulin aspart (faster aspart) versus insulin aspart (IAsp) in adults with type 2 diabetes receiving basal insulin and oral antidiabetic agents. RESEARCH DESIGN AND METHODS: The primary end point was HbA1c change from baseline after 26 weeks' treatment. After an 8-week run-in to optimize basal insulin, subjects were randomized (1:1) to mealtime faster aspart (n = 345) or IAsp (n = 344), titrated using a simple daily patient-driven algorithm, plus insulin glargine U100 and metformin...
May 8, 2017: Diabetes Care
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