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Diabetes algorithm

Alexandre Baptista, Inês Teixeira, Sónia Romano, António Vaz Carneiro, Julian Perelman
OBJECTIVE: To conduct a systematic review of cost-effectiveness, cost-utility, and cost-benefit studies of DPP-4 inhibitors for diabetes treatment versus other antidiabetics. METHODS: Three investigators searched the CRD York, Tufts CEA Registry, and MEDLINE databases through 2015. We reviewed all potentially relevant titles and abstracts, and screened full-text articles, according to inclusion criteria. We established a quality score for each study based on a 35-item list...
October 17, 2016: European Journal of Health Economics: HEPAC: Health Economics in Prevention and Care
Lizhen Xu, Radu V Craiu, Lei Sun, Andrew D Paterson
Motivated by genetic association studies of pleiotropy, we propose a Bayesian latent variable approach to jointly study multiple outcomes. The models studied here can incorporate both continuous and binary responses, and can account for serial and cluster correlations. We consider Bayesian estimation for the model parameters, and we develop a novel MCMC algorithm that builds upon hierarchical centering and parameter expansion techniques to efficiently sample from the posterior distribution. We evaluate the proposed method via extensive simulations and demonstrate its utility with an application to aa association study of various complication outcomes related to type 1 diabetes...
2016: Journal of Computational and Graphical Statistics
Quynh C Nguyen, Dapeng Li, Hsien-Wen Meng, Suraj Kath, Elaine Nsoesie, Feifei Li, Ming Wen
BACKGROUND: Studies suggest that where people live, play, and work can influence health and well-being. However, the dearth of neighborhood data, especially data that is timely and consistent across geographies, hinders understanding of the effects of neighborhoods on health. Social media data represents a possible new data resource for neighborhood research. OBJECTIVE: The aim of this study was to build, from geotagged Twitter data, a national neighborhood database with area-level indicators of well-being and health behaviors...
October 17, 2016: JMIR Public Health and Surveillance
Xiangtong Liu, Jason Peter Fine, Zhenghong Chen, Long Liu, Xia Li, Anxin Wang, Jin Guo, Lixin Tao, Gehendra Mahara, Zhe Tang, Xiuhua Guo
The competing risk method has become more acceptable for time-to-event data analysis because of its advantage over the standard Cox model in accounting for competing events in the risk set. This study aimed to construct a prediction model for diabetes using a subdistribution hazards model.We prospectively followed 1857 community residents who were aged ≥ 55 years, free of diabetes at baseline examination from August 1992 to December 2012. Diabetes was defined as a self-reported history of diabetes diagnosis, taking antidiabetic medicine, or having fasting plasma glucose (FPG) ≥ 7...
October 2016: Medicine (Baltimore)
Andrea E Scaramuzza, Claudia Arnaldi, Valentino Cherubini, Elvira Piccinno, Ivana Rabbone, Sonia Toni, Stefano Tumini, Gliberto Candela, Paola Cipriano, Lucia Ferrito, Lorenzo Lenzi, Davide Tinti, Ohad Cohen, Fortunato Lombardo
No abstract text is available yet for this article.
October 15, 2016: Acta Diabetologica
Anthony P Nunes, Jing Yang, Larry Radican, Samuel S Engel, Karen Kurtyka, Kaan Tunceli, Shengsheng Yu, Kristy Iglay, Michael C Doherty, David D Dore
AIMS: Accurate measures of hypoglycemia within electronic health records (EHR) can facilitate clinical population management and research. We quantify the occurrence of serious and mild-to-moderate hypoglycemia in a large EHR database in the US, comparing estimates based only on structured data to those from structured data and natural language processing (NLP) of clinical notes. METHODS: This cohort study included patients with type 2 diabetes identified from January 2009 through March 2014...
September 21, 2016: Diabetes Research and Clinical Practice
Adam Wylęgała, Sławomir Teper, Dariusz Dobrowolski, Edward Wylęgała
BACKGROUND: Retinal vascular diseases are one of the most common causes of blindness in the developed world. Optical Coherence Tomography Angiography (OCT-A) is a new noninvasive method that uses several algorithms to detect blood movement. This enables the creation of high-resolution vascular images with contrast depicting motionless tissue. METHODS: This review presents the results of articles relevant to age-related macular degeneration (AMD), diabetic retinopathy (DR), and OCT-A...
October 2016: Medicine (Baltimore)
Mark D DeBoer, Daniel R Cherñavvsky, Katarina Topchyan, Boris P Kovatchev, Gary L Francis, Marc D Breton
OBJECTIVE: To evaluate the safety and performance of using a heart rate (HR) monitor to inform an artificial pancreas (AP) system during exercise among adolescents with type 1 diabetes (T1D). MATERIALS AND METHODS: In a randomized, cross-over trial, adolescents with T1D age 13 - 18 years were enrolled to receive on separate days either the unmodified UVa AP (stdAP) or an AP system connected to a portable HR monitor (AP-HR) that triggered an exercise algorithm for blood glucose (BG) control...
October 13, 2016: Pediatric Diabetes
E A Huhn, T Fischer, C S Göbl, M Todesco Bernasconi, M Kreft, M Kunze, A Schoetzau, E Dölzlmüller, W Eppel, P Husslein, N Ochsenbein-Koelble, R Zimmermann, E Bäz, H Prömpeler, E Bruder, S Hahn, I Hoesli
INTRODUCTION: As the accurate diagnosis and treatment of gestational diabetes mellitus (GDM) is of increasing importance; new diagnostic approaches for the assessment of GDM in early pregnancy were recently suggested. We evaluate the diagnostic power of an 'early' oral glucose tolerance test (OGTT) 75 g and glycosylated fibronectin (glyFn) for GDM screening in a normal cohort. METHODS AND ANALYSIS: In a prospective cohort study, 748 singleton pregnancies are recruited in 6 centres in Switzerland, Austria and Germany...
October 12, 2016: BMJ Open
Davide Capodanno, Dominick J Angiolillo
Daily administration of low-dose of aspirin has proven to be beneficial in preventing recurrent cardiovascular events. However, the role of aspirin for primary prevention in patients with no overt cardiovascular disease is more controversial. In fact, in lower risk patients, the modest benefit in reducing serious vascular events can be offset by the increased risk of bleeding, including intracranial and gastrointestinal hemorrhage. Diabetes mellitus (DM) has been associated with a substantially increased risk of both first and recurrent atherothrombotic events, which makes aspirin therapy of potential value in these subjects...
October 11, 2016: Circulation
Ka Hei Chan, Rahul Krishnan, Michael Alexander, Jonathan Rt Lakey
The islets of Langerhans are endocrine tissue clusters that secrete hormones that regulate the body's glucose, carbohydrate and fat metabolism, the most important of which is insulin, a hormone secreted by β cells within the islets. In certain instances, a person's own immune system attacks and destroys them leading to the development of Type 1 diabetes (T1D), a lifelong condition that needs daily insulin administration to maintain health and prolong survival. Islet transplantation is a surgical procedure that has demonstrated the ability to normalize blood sugar levels for up to a few years, but the need for chronic immunosuppression relegates it to a last resort that is often only used sparingly, and in seriously-ill patients...
October 10, 2016: Cell Transplantation
Harvey B Pollard, Chittari Shivakumar, Joshua Starr, Ofer Eidelman, David M Jacobowitz, Clifton L Dalgard, Meera Srivastava, Matthew D Wilkerson, Murray B Stein, Robert J Ursano
"Soldier's Heart," is an American Civil War term linking post-traumatic stress disorder (PTSD) with increased propensity for cardiovascular disease (CVD). We have hypothesized that there might be a quantifiable genetic basis for this linkage. To test this hypothesis we identified a comprehensive set of candidate risk genes for PTSD, and tested whether any were also independent risk genes for CVD. A functional analysis algorithm was used to identify associated signaling networks. We identified 106 PTSD studies that report one or more polymorphic variants in 87 candidate genes in 83,463 subjects and controls...
2016: Frontiers in Molecular Neuroscience
Samaneh Kabul, Robert C Hood, Ran Duan, Amy M DeLozier, Julie Settles
BACKGROUND: Initiation and titration of human regular U-500 insulin (U-500R) with a dosing algorithm of either thrice daily (TID) or twice daily (BID) improved glycemic control with fewer injections in patients with type 2 diabetes treated with high-dose, high-volume U-100 insulin. The objective of this analysis was to compare patient-reported outcomes between U-500R TID and BID treatment groups in this titration-to-target randomized, clinical trial. METHODS: In this 24-week, open-label, parallel trial, 325 patients were randomized to TID (n = 162) or BID (n = 163) U-500R after a 4-week lead-in period (screening)...
September 30, 2016: Health and Quality of Life Outcomes
Hiroshi Hongo, Eiji Kikuchi, Kazuhiro Matsumoto, Satoshi Yazawa, Kent Kanao, Takeo Kosaka, Ryuichi Mizuno, Akira Miyajima, Shiro Saito, Mototsugu Oya
OBJECTIVES: To identify predictive factors for the severity of epididymitis and to develop an algorithm guiding decisions on how to manage patients with this disease. METHODS: A retrospective study was carried out on 160 epididymitis patients at Keio University Hospital. We classified cases into severe and non-severe groups, and compared clinical findings at the first visit. Based on statistical analyses, we developed an algorithm for predicting severe cases. We validated the algorithm by applying it to an external cohort of 96 patients at Tokyo Medical Center...
October 6, 2016: International Journal of Urology: Official Journal of the Japanese Urological Association
Jyoti Yadav, Asha Rani, Vijander Singh
This paper presents Fuzzy-PID (FPID) control scheme for a blood glucose control of type 1 diabetic subjects. A new metaheuristic Cuckoo Search Algorithm (CSA) is utilized to optimize the gains of FPID controller. CSA provides fast convergence and is capable of handling global optimization of continuous nonlinear systems. The proposed controller is an amalgamation of fuzzy logic and optimization which may provide an efficient solution for complex problems like blood glucose control. The task is to maintain normal glucose levels in the shortest possible time with minimum insulin dose...
December 2016: Journal of Medical Systems
Acner Camino, Miao Zhang, Changlei Dongye, Alex D Pechauer, Thomas S Hwang, Steven T Bailey, Brandon Lujan, David J Wilson, David Huang, Yali Jia
BACKGROUND: Motion artifacts degrade the quality of optical coherence tomography angiography (OCTA). Orthogonal registration can eliminate the majority of these artifacts, but some artifacts persist in most clinical images. We evaluate an automated registration algorithm with selective merging and filtering to remove remaining artifacts and improve the quality of images. METHODS: A 70 kHz commercial spectral domain OCT was used to obtain 3 mm × 3 mm OCTA in 10 healthy, 5 age-related macular degeneration (AMD), and 31 diabetic retinopathy (DR) participants...
August 2016: Quantitative Imaging in Medicine and Surgery
Michael David Abràmoff, Yiyue Lou, Ali Erginay, Warren Clarida, Ryan Amelon, James C Folk, Meindert Niemeijer
Purpose: To compare performance of a deep-learning enhanced algorithm for automated detection of diabetic retinopathy (DR), to the previously published performance of that algorithm, the Iowa Detection Program (IDP)-without deep learning components-on the same publicly available set of fundus images and previously reported consensus reference standard set, by three US Board certified retinal specialists. Methods: We used the previously reported consensus reference standard of referable DR (rDR), defined as International Clinical Classification of Diabetic Retinopathy moderate, severe nonproliferative (NPDR), proliferative DR, and/or macular edema (ME)...
October 1, 2016: Investigative Ophthalmology & Visual Science
Miao Zhang, Thomas S Hwang, Changlei Dongye, David J Wilson, David Huang, Yali Jia
Purpose: The purpose of this study was to evaluate an automated algorithm for detecting avascular area (AA) in optical coherence tomography angiograms (OCTAs) separated into three individual plexuses using a projection-resolved technique. Methods: A 3 × 3 mm macular OCTA was obtained in 13 healthy and 13 mild nonproliferative diabetic retinopathy (NPDR) participants. A projection-resolved algorithm segmented OCTA into three vascular plexuses: superficial, intermediate, and deep...
October 1, 2016: Investigative Ophthalmology & Visual Science
Ravi Gondhalekar, Eyal Dassau, Francis J Doyle
A novel Model Predictive Control (MPC) law for an Artificial Pancreas (AP) to automatically deliver insulin to people with type 1 diabetes is proposed. The MPC law is an enhancement of the authors' zone-MPC approach that has successfully been trialled in-clinic, and targets the safe outpatient deployment of an AP. The MPC law controls blood-glucose levels to a diurnally time-dependent zone, and enforces diurnal, hard input constraints. The main algorithmic novelty is the use of asymmetric input costs in the MPC problem's objective function...
September 2016: Automatica: the Journal of IFAC, the International Federation of Automatic Control
Patrick Rossignol, Matthieu Legrand, Mikhail Kosiborod, Steven M Hollenberg, W Frank Peacock, Michael Emmett, Murray Epstein, Csaba P Kovesdy, Mehmet Birhan Yilmaz, Wendy Gattis Stough, Etienne Gayat, Bertram Pitt, Faiez Zannad, Alexandre Mebazaa
Hyperkalemia is a common electrolyte disorder, especially in chronic kidney disease, diabetes mellitus, or heart failure. Hyperkalemia can lead to potentially fatal cardiac dysrhythmias, and it is associated with increased mortality. Determining whether emergency therapy is warranted is largely based on subjective clinical judgment. The Investigator Network Initiative Cardiovascular and Renal Clinical Trialists (INI-CRCT) aimed to evaluate the current knowledge pertaining to the emergency treatment of hyperkalemia...
September 29, 2016: Pharmacological Research: the Official Journal of the Italian Pharmacological Society
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