Showing papers on "Electronic data published in 2012"

Machine Learning : A Probabilistic Perspective

Abstract: Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package--PMTK (probabilistic modeling toolkit)--that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Systems and methods for using metadata to enhance data identification operations

Abstract: Systems and methods for managing electronic data are disclosed. Various data management operations can be performed based on a metabase formed from metadata. Such metadata can be identified from an index of data interactions generated by a journaling module, and obtained from their associated data objects stored in one or more storage devices. In various embodiments, such processing of the index and storing of the metadata can facilitate, for example, enhanced data management operations, enhanced data identification operations, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data. In various embodiments, the metabase can be configured in different ways. For example, the metabase can be stored separately from the data objects so as to allow obtaining of information about the data objects without accessing the data objects or a data structure used by a file system.

Generating and processing task items that represent tasks to perform

Abstract: Techniques for processing task items are provided. A task item is electronic data that represents a task to be performed, whether manually or automatically. A task item includes one or more details about its corresponding task, such as a description of the task and a location of the task. Specifically, techniques for generating task items, organizing task items, triggering notifications of task items, and consuming task items are described. In one approach, a task item is generated based on input from a user and context of the input. In another approach, different attributes of task items are used to organize the task items intelligently into multiple lists. In another approach, one or more criteria, such as location, are used to determine when to notify a user of a task item. In another approach, actions other than the generation of notification are enabled or automatically performed, actions such as emailing, calling, texting, and searching.

Sexual Activity–Related Outcomes After Human Papillomavirus Vaccination of 11- to 12-Year-Olds

Abstract: OBJECTIVE: Previous surveys on hypothesized sexual activity changes after human papillomavirus (HPV) vaccination may be subject to self-response biases. To date, no studies measured clinical markers of sexual activity after HPV vaccination. This study evaluated sexual activity–related clinical outcomes after adolescent vaccination. METHODS: We conducted a retrospective cohort study utilizing longitudinal electronic data from a large managed care organization. Girls enrolled in the managed care organization, aged 11 through 12 years between July 2006 and December 2007, were classified by adolescent vaccine (HPV; tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis, adsorbed; quadrivalent meningococcal conjugate) receipt. Outcomes (pregnancy/sexually transmitted infection testing or diagnosis; contraceptive counseling) were assessed through December 31, 2010, providing up to 3 years of follow-up. Incidence rate ratios comparing vaccination categories were estimated with multivariate Poisson regression, adjusting for health care–seeking behavior and demographic characteristics. RESULTS: The cohort included 1398 girls (493 HPV vaccine–exposed; 905 HPV vaccine–unexposed). Risk of the composite outcome (any pregnancy/sexually transmitted infection testing or diagnosis or contraceptive counseling) was not significantly elevated in HPV vaccine–exposed girls relative to HPV vaccine–unexposed girls (adjusted incidence rate ratio: 1.29, 95% confidence interval [CI]: 0.92 to1.80; incidence rate difference: 1.6/100 person-years; 95% CI: −0.03 to 3.24). Incidence rate difference for Chlamydia infection (0.06/100 person-years [95% CI: −0.30 to 0.18]) and pregnancy diagnoses (0.07/100 person-years [95% CI: −0.20 to 0.35]), indicating little clinically meaningful absolute risk differences. CONCLUSIONS: HPV vaccination in the recommended ages was not associated with increased sexual activity–related outcome rates.

The Oxford Handbook of the Digital Economy

Abstract: The economic analysis of the digital economy has been a rapidly developing research area for more than a decade. Through authoritative examination by leading scholars, this handbook takes a closer look at particular industries, business practices, and policy issues associated with the digital industry. The volume offers an up-to-date account of key topics, discusses open questions, and provides guidance for future research. It offers a blend of theoretical and empirical works that are central to understanding the digital economy. The chapters are presented in four sections, corresponding with four broad themes: 1) infrastructure, standards, and platforms; 2) the transformation of selling, encompassing both the transformation of traditional selling and new, widespread application of tools such as auctions; 3) user-generated content; and 4) threats in the new digital environment.The first section covers infrastructure, standards, and various platform industries that rely heavily on recent developments in electronic data storage and transmission, including software, video games, payment systems, mobile telecommunications, and B2B commerce. The second section takes account of the reduced costs of online retailing that threatens offline retailers, widespread availability of information as it affects pricing and advertising, digital technology as it allows the widespread employment of novel price and non-price strategies (bundling, price discrimination), and auctions. The third section addresses the emergent phenomenon of user-generated content on the Internet, including the functioning of social networks and open source. The fourth section discusses threats arising from digitization and the Internet, namely digital piracy, privacy, and security concerns.

mHealth Data Security: The Need for HIPAA-Compliant Standardization

Abstract: The rise in the use of mobile devices, such as smartphones, tablet personal computers, and wireless medical devices, as well as the wireless networks that enable their use, has raised new concerns for data security and integrity. Standardized Health Insurance Portability and Accountability Act of 1996 (HIPAA)-compliant electronic data security that will allow ubiquitous use of mobile health technologies is needed. The lack of standardized data security to assure privacy, to allow interoperability, and to maximize the full capabilities of mobile devices presents a significant barrier to care. The purpose of this article is to provide an overview of the issue and to encourage discussion of this important topic. Current security needs, standards, limitations, and recommendations for how to address this barrier to care are discussed.

Review on Powder-Based Electron Beam Additive Manufacturing Technology

Abstract: This paper presents a thorough literature review of the powder-based electron beam additive manufacturing (EBAM) technology. EBAM, a relatively new additive manufacturing (AM) process, can produce full-density metallic parts directly from the electronic data of the designed part geometry. EBAM has gained broad attentions from different industries such as aerospace and biomedical, with great potential in a variety of applications. The paper first introduces the general aspects of EBAM. The unique characteristics, advantages and challenges of EBAM are then presented. Moreover, the hub of this paper includes extensive discussions of microstructures, mechanical properties, geometric attributes, which impact the application ranges of EBAM parts, with focus on commonly used titanium alloys (in particular, Ti-6Al-4V). In the end, modeling work of the EBAM process is discussed as well.Copyright © 2012 by ASME

Climate Change Impact Assessment of Food- and Waterborne Diseases

Abstract: The PubMed and ScienceDirect bibliographic databases were searched for the period of 1998-2009 to evaluate the impact of climatic and environmental determinants on food- and waterborne diseases. The authors assessed 1,642 short and concise sentences (key facts), which were extracted from 722 relevant articles and stored in a climate change knowledge base. Key facts pertaining to temperature, precipitation, water, and food for 6 selected pathogens were scrutinized, evaluated, and compiled according to exposure pathways. These key facts (corresponding to approximately 50,000 words) were mapped to 275 terminology terms identified in the literature, which generated 6,341 connections. These relationships were plotted on semantic network maps to examine the interconnections between variables. The risk of campylobacteriosis is associated with mean weekly temperatures, although this link is shown more strongly in the literature relating to salmonellosis. Irregular and severe rain events are associated with Cryptosporidium sp. outbreaks, while noncholera Vibrio sp. displays increased growth rates in coastal waters during hot summers. In contrast, for Norovirus and Listeria sp. the association with climatic variables was relatively weak, but much stronger for food determinants. Electronic data mining to assess the impact of climate change on food- and waterborne diseases assured a methodical appraisal of the field. This climate change knowledge base can support national climate change vulnerability, impact, and adaptation assessments and facilitate the management of future threats from infectious diseases. In the light of diminishing resources for public health this approach can help balance different climate change adaptation options.

A systematic review of behavioral and treatment outcome studies among HIV-infected men who have sex with men who abuse crystal methamphetamine.

Abstract: Men who have sex with men (MSM) have the highest incidence of HIV infection in the United States. One of the contributing factors to HIV spread among this group is the use of crystal methamphetamine (“meth”). The objective was to review the behavioral impact of crystal meth use in HIV-infected MSM and potential treatment options. A systematic review of MEDLINE identified studies that evaluated the clinical effects of crystal meth on the HIV-infected MSM population. Search terms included HIV, methamphetamine, MSM, antiretroviral therapy, adherence, resistance, and treatment. U.S. citations in the English language in peer-reviewed journals until December 2010 were included. The primary author reviewed eligible articles, and relevant data including study design, sample, and outcomes were entered into an electronic data table. The 61 included studies highlight that HIV-infected MSM who use crystal meth are more likely to report high-risk sexual behaviors, incident sexually transmitted infections, and...

An assessment of the Hawthorne Effect in practice-based research

Abstract: Background: Practical studies in real-world settings may be particularly vulnerable to unintended effects on intervention outcomes, including what is commonly known as the Hawthorne Effect. This phenomenon suggests that study subjects9 behavior or study results are altered by the subjects9 awareness that they are being studied or that they received additional attention. This is especially a concern when subjects are not blinded to randomization or when they participate in studies with observational components. As part of a larger practical intervention designed to improve the clinical management of skin and soft tissue infections (SSTIs), we specifically examined the potential for a Hawthorne Effect from the extra attention some clinicians received when completing follow-up case reviews. Methods: De-identified, electronic data from a larger practical intervention allowed for the comparison of the clinical management of SSTIs among 14 randomly selected clinicians who participated in follow-up case reviews versus 77 clinicians who did not. Results: There were no differences in the management of SSTIs between the 2 groups of clinicians. No evidence of a Hawthorne Effect was observed in this quality-improvement intervention. Conclusion: More extensive contact with the research team did not seem to have unintended effects on the outcomes of interest for the management of SSTIs. Further study in practice-based research settings could help to establish whether different types of studies and outcomes are more or less susceptible to the Hawthorne Effect.

Hypoglycaemia is associated with increased length of stay and mortality in people with diabetes who are hospitalized

Abstract: Diabet. Med. 29, e445–e448 (2012) Abstract Aim To study the length of stay and inpatient mortality of patients with diabetes who had an episode of hypoglycaemia in a non critical care setting at University Hospital Birmingham, UK. Methods Retrospective analysis of routinely available electronic data of 6374 admissions with a recording of either laboratory or point-of-care blood glucose value. Based on the lowest recorded blood glucose values, patients were categorized into a group without hypoglycaemia (> 3.9 mmol/l), a group with mild to moderate hypoglycaemia (2.3–3.9 mmol/l) and a group with severe hypoglycaemic (≤ 2.2 mmol/l). Length of stay and inpatient mortality were compared between the three groups, adjusting for age, gender, ethnicity, deprivation, admission type, use of insulin and modified Charlson co-morbidity score. Results There were 148 admissions (2.3%) with severe hypoglycaemia (≤ 2.2 mmol/l), 500 admissions (7.8%) with mild to moderate hypoglycaemia (2.2–3.9 mmol/l) and 5726 admissions with no recorded hypoglycaemic episode (> 3.9 mmol/l). After adjustment, length of stay, when compared with those without a recorded hypoglycaemic episode, was 1.51 (95% CI 1.35–1.68) times higher in the group with blood glucose values of 2.3–3.9 mmol/l and 2.33 (95% CI 1.91–2.84) higher in the group with blood glucose values ≤ 2.2 mmol/l. Adjusted odds ratio of inpatient mortality when compared with the group without hypoglycaemia was 1.62 (95% CI 1.16–2.27) in the group with blood glucose values of 2.3–3.9 mmol/l and 2.05 (95% CI 1.24–3.38) in the group with blood glucose values ≤ 2.2 mmol/l. Conclusion Hypoglycaemia is associated with increased length of stay and inpatient mortality. Whilst causative evidence is lacking, our data are consistent with the need to avoid hypoglycaemia in our current and continued approach for optimal glycaemic control in people with diabetes admitted to hospital.

Agencies Rally to Tackle Big Data

Abstract: A federal effort is under way to improve the nation9s ability to manage, understand, and act upon the 1.2 zettabytes (1021) of electronic data generated each year. Its goal is to increase fundamental understanding of the technologies needed to manipulate and mine massive amounts of information; apply that knowledge to other scientific fields; address national goals in health, energy, defense, and education; and train more researchers to work with those technologies. The impetus for the initiative, to be managed by the Office of Science and Technology Policy, comes from a December 2010 report by a presidential task force that concluded the nation was "underinvesting" in the field. Computer scientists welcome the spotlight that the White House is shining on big-data research.

The Danish vaccination register.

Abstract: Immunisation information systems (IIS) are valuable tools for monitoring vaccination coverage and for estimating vaccine effectiveness and safety. Since 2009, an advanced IIS has been developed in Denmark and will be implemented during 2012–14. This IIS is based on a database existing since 2000. The reporting of all administered vaccinations including vaccinations outside the national programme will become mandatory. Citizens will get access to data about their own vaccinations and healthcare personnel will get access to information on the vaccinations of their patients. A national concept of identification, a national solution combining a personal code and a card with codes, ensures easy and secure access to the register. From the outset, the IIS will include data on childhood vaccinations administered from 1996 and onwards. All Danish citizens have a unique identifier, a so called civil registration number, which allows the linking of information on vaccinations coming from different electronic data sources. The main challenge will be to integrate the IIS with the different electronic patient record systems currently existing at general practitioner, vaccination clinic and hospital level thereby avoiding double-entry. A need has been identified for an updated international classification of vaccine products on the market. Such a classification would also be useful for the future exchange of data on immunisations from IIS between countries.

Risk of Confirmed Guillain-Barré Syndrome Following Receipt of Monovalent Inactivated Influenza A (H1N1) and Seasonal Influenza Vaccines in the Vaccine Safety Datalink Project, 2009–2010

Abstract: An increased risk of Guillain-Barre syndrome (GBS) following administration of the 1976 swine influenza vaccine led to a heightened focus on GBS when monovalent vaccines against a novel influenza A (H1N1) virus of swine origin were introduced in 2009. GBS cases following receipt of monovalent inactivated (MIV) and seasonal trivalent inactivated (TIV) influenza vaccines in the Vaccine Safety Datalink Project in 2009-2010 were identified in electronic data and confirmed by medical record review. Within 1-42 days following vaccination, 9 cases were confirmed in MIV recipients (1.48 million doses), and 8 cases were confirmed in TIV-only recipients who did not also receive MIV during 2009-2010 (1.72 million doses). Five cases following MIV and 1 case following TIV-only had an antecedent respiratory infection, a known GBS risk factor; furthermore, unlike TIV, MIV administration was concurrent with heightened influenza activity. In a self-controlled risk interval analysis comparing GBS onset within 1-42 days following MIV with GBS onset 43-127 days following MIV, the risk difference was 5.0 cases per million doses (95% confidence interval: 0.5, 9.5). No statistically significant increased GBS risk was found within 1-42 days following TIV-only vaccination versus 43-84 days following vaccination (risk difference = 1.1 cases per million doses, 95% confidence interval: -3.1, 5.4). Further evaluation to assess GBS risk following both vaccination and respiratory infection is warranted.

Replacing paper data collection forms with electronic data entry in the field: findings from a study of community-acquired bloodstream infections in Pemba, Zanzibar

Abstract: Entering data on case report forms and subsequently digitizing them in electronic media is the traditional way to maintain a record keeping system in field studies. Direct data entry using an electronic device avoids this two-step process. It is gaining in popularity and has replaced the paper-based data entry system in many studies. We report our experiences with paper- and PDA-based data collection during a fever surveillance study in Pemba Island, Zanzibar, Tanzania. Data were collected on a 14-page case report paper form in the first period of the study. The case report paper forms were then replaced with handheld computers (personal digital assistants or PDAs). The PDAs were used for screening and clinical data collection, including a rapid assessment of patient eligibility, real time errors, and inconsistency checking. A comparison of paper-based data collection with PDA data collection showed that direct data entry via PDA was faster and 25% cheaper. Data was more accurate (7% versus 1% erroneous data) and omission did not occur with electronic data collection. Delayed data turnaround times and late error detections in the paper-based system which made error corrections difficult were avoided using electronic data collection. Electronic data collection offers direct data entry at the initial point of contact. It has numerous advantages and has the potential to replace paper-based data collection in the field. The availability of information and communication technologies for direct data transfer has the potential to improve the conduct of public health research in resource-poor settings.

Neonatal morbidity in singleton late preterm infants compared with full-term infants

Abstract: Aim: The aim of this study was to test the hypothesis that singleton late preterm infants (34 0/7 to 36 6/7 weeks of gestation) compared with full-term infants have a higher incidence of short-term morbidity and stay longer in hospital. Methods: In this retrospective, multicentre study, electronic data of children born at five hospitals in Switzerland were recorded. Short-term outcome of late preterm infants was compared with a control group of full-term infants (39 0/7 to 40 6/7 weeks of gestation). Multiple gestations, pregnancies complicated by foetal malformations, maternal consumption of illicit drugs and infants with incomplete documentation were excluded. The results were corrected for gender imbalance. Results: Data from 530 late preterm and 1686 full-term infants were analysed. Compared with full-term infants, late preterm infants had a significant higher morbidity: respiratory distress (34.7% vs. 4.6%), hyperbilirubinaemia (47.7% vs. 3.4%), hypoglycaemia (14.3% vs. 0.6%), hypothermia (2.5% vs. 0.6%) and duration of hospitalization (mean, 9.9 days vs. 5.2 days). The risk to develop at least one complication was 7.6 (95% CI: 6.2-9.6) times higher among late preterm infants (70.8%) than among full-term infants (9.3%). Conclusion: Singleton late preterm infants show considerably higher rate of medical complications and prolonged hospital stay compared with matched full-term infants and therefore need more medical and financial resources.

Shelf-monitoring system

Abstract: A system and method for monitoring retail shelf inventory that combines bar code and RFID technologies permit electronic data entry of retail item shelf assignments and real time reporting of item removal fr display/dispensing shelves.

Fiscal Rules at a Glance: Country Details from a New Dataset

Abstract: This paper provides country-specific information on fiscal rules in use in 81 countries from 1985 to end-September 2012. It serves as background material and update of the July 2012 Working Paper Fiscal Rules in Response to the Crisis-Toward the 'Next Generation' Rules: A New Dataset and is also available in an easy accessible electronic data visualization tool. The dataset covers four types of rules: budget balance rules, debt rules, expenditure rules, and revenue rules, applying to the central or general government or the public sector. It also presents details on various characteristics of rules, such as their legal basis, coverage, escape clauses, as well as key supporting features such as independent monitoring bodies.

Detection of impaired glucose regulation and/or type 2 diabetes mellitus, using primary care electronic data, in a multiethnic UK community setting.

Abstract: Aims/hypothesis The aim of this study was to develop and validate a score for detecting the glycaemic categories of impaired glucose regulation (IGR) and type 2 diabetes using the WHO 2011 diagnostic criteria.

Investigation of metronidazole use during pregnancy and adverse birth outcomes

Abstract: To assess whether treatment with metronidazole during pregnancy is associated with preterm birth, low birth weight, or major congenital anomalies, we conducted chart reviews and an analysis of electronic data from a cohort of women delivering at an urban New York State hospital. Of 2,829 singleton/mother pairs, 922 (32.6%) mothers were treated with metronidazole for clinical indications, 348 (12.3%) during the first trimester of pregnancy and 553 (19.5%) in the second or third trimester. There were 333 (11.8%) preterm births, 262 (9.3%) infants of low birth weight, and 52 infants (1.8%) with congenital anomalies. In multivariable analysis, no association was found between metronidazole treatment and preterm birth (odds ratio [OR], 1.02 [95% confidence interval [CI], 0.80 to 1.32]), low birth weight (OR, 1.05 [95% CI, 0.77 to 1.43]), or treatment in the first trimester and congenital anomalies (OR, 0.86 [0.30 to 2.45]). We found no association between metronidazole treatment during the first or later trimesters of pregnancy and preterm birth, low birth weight, or congenital anomalies.

Evaluating the Use of Existing Data Sources, Probabilistic Linkage, and Multiple Imputation to Build Population-based Injury Databases Across Phases of Trauma Care

Abstract: Injury continues to be a major cause of death and disability, particularly among the young.1,2 While the development of trauma centers, trauma systems, injury prevention programs, and public policy have resulted in many strides toward reducing the burden of injury, much work remains. Integral to understanding and further reducing the burden of injury is the ability to measure how injury relates to meaningful health outcomes across broad populations and different phases of care. Trauma registries have traditionally provided the bulk of available injury data. However, trauma registries preferentially target more seriously injured patients treated at trauma centers, are not population-based, and are typically limited to in-hospital outcomes. There is a growing need for broad population-based injury data that effectively span multiple phases of care (out-of-hospital, in-hospital, and postdischarge); include patients with minor and severe injuries; and are not limited by cost, resource, and confidentiality constraints. Such population-based data may be used for trauma quality assurance, improving the effectiveness of field triage protocols and early treatment interventions, and evaluating the outcomes of injured patients not treated at trauma centers and falling outside of traditional quality assurance data sources (e.g., trauma registries). The increasing availability of electronic data combined with certain analytic methods (probabilistic linkage3,4 and multiple imputation5) provide an opportunity to create such unique data resources. Probabilistic linkage is a method for matching disparate datasets when a unique identifier is not available and has been used to match emergency medical systems (EMS) records to hospital outcomes6,7 and validated among injured patients.8 Due to match rates (the proportion of matches among eligible patients) typically less than 100%, and the substantive portion of missing values inherent in EMS and trauma data sources, missing data have been another obstacle in developing population-based injury databases. Handling missing values inappropriately can generate bias, reduce sample size, and lessen study power.9–14 Multiple imputation can effectively mitigate these limitations, provided that certain assumptions are met. We are unaware of any studies evaluating the combined use of probabilistic linkage and multiple imputation in the construction of large population-based databases. While the use and integration of electronic health information is being actively promoted in the United States,15 there is a need for additional literature detailing the methods to effectively link such records across multiple phases of care between different agencies and institutions and appropriately handle missing values. In this article, we describe the methods and evaluate the use of existing data files, probabilistic linkage, and multiple imputation in constructing large population-based injury databases matched to outcomes under a variety of conditions across seven regions in the western United States.

Weak antilocalization and disorder-enhanced electron interactions in annealed films of the phase-change compound GeSb 2 Te 4

Abstract: Phase-change materials can be reversibly switched between amorphous and crystalline states and often show strong contrast in the optical and electrical properties of these two phases They are now in widespread use for optical data storage, and their fast switching and a pronounced change of resistivity upon crystallization are also very attractive for nonvolatile electronic data storage Nevertheless, several open questions remain regarding the electronic states and charge transport in these compounds In this work, we study electrical transport in thin metallic films of the disordered, crystalline phase-change material GeSb${}_{2}$Te${}_{4}$ We observe weak antilocalization and disorder-enhanced Coulomb interaction effects at low temperatures, and separate the contributions of these two phenomena to the temperature dependence of the resistivity, Hall effect, and magnetoresistance Strong spin-orbit scattering causes positive magnetoresistance at all temperatures, and a careful analysis of the low-field magnetoresistance allows us to extract the temperature-dependent electron dephasing rate and study other scattering phenomena We find electron dephasing due to inelastic electron-phonon scattering at higher temperatures, electron-electron scattering dephasing at intermediate temperatures, and a crossover to weak temperature dependence below 1 K

Naftidrofuryl for intermittent claudication.

Abstract: Background : Lifestyle changes and cardiovascular prevention measures are a primary treatment for intermittent claudication (IC). Symptomatic treatment with vasoactive agents (Anatomic Therapeutic Chemical Classification (ATC) for medicines from the World Health Organisation class CO4A) is controversial. Objectives : To evaluate evidence on the efficacy and safety of oral naftidrofuryl (ATC CO4 21) versus placebo on the pain-free walking distance (PFWD) of people with IC by using a meta-analysis based on individual patient data (IPD). Search strategy : The Cochrane Peripheral Vascular Diseases Group searched their Trials Register (last searched December 2007) and CENTRAL (last searched 2007, Issue 4). We searched MEDLINE, EMBASE, International Pharmaceutical Abstracts, the Science Citation Index and contacted the authors and checked the reference lists of retrieved articles. We asked the manufacturing company for IPD. Selection criteria : We included only randomized controlled trials (RCTs) with low or moderate risk of bias for which the IPD were available. Data collection and analysis : We collected data from the electronic data file or from the case report form and checked the data by a statistical quality control procedure. All randomized patients were analyzed following the intention-to-treat (ITT) principle. The geometric mean of the relative improvement in PFWD was calculated for both treatment groups in all identified studies. The effect of the drug was assessed compared with placebo on final walking distance (WDf) using multilevel and random-effect models and adjusting for baseline walking distance (WD0). For the responder analysis, therapeutic success was defined as an improvement of walking distance of at least 50%. Main results : We included seven studies in the IPD (n = 1266 patients). One of these studies (n = 183) was only used in the sensitivity analysis so that the main analysis included 1083 patients. The ratio of the relative improvement in PFWD (naftidrofuryl compared with placebo) was 1.37 (95% confidence interval (CI) 1.32 to 1.51, P < 0.001). The absolute difference in responder rate, or proportion successfully treated, was 22.3% (95% CI 17.1% to 27.6%). The calculated number needed to treat was 4.5 (95% CI 3.6 to 5.8). Authors' conclusions : Naftidrofuryl has a statistically significant and clinically meaningful effect of improving walking distance in the six months after initiation of therapy for people with intermittent claudication. Access by researchers to data from RCTs that is suitable for IPD analysis should be possible through repositories of data from pharmacological trials. Regular formal appraisal of the balance of risk and benefit is needed for older pharmaceutical products. Naftidrofuryl for intermittent claudication : Patients with narrowed arteries of the lower limbs may be hampered by pain in their calves after relatively short walks. This limits the distance they can walk, and hence their quality of life. This is a sure sign of atherosclerosis. These patients are at greater risk of cardiovascular death and should take preventive measures. The symptoms of the disease can be alleviated by smoking cessation and exercise. The question is whether specific drugs such as naftidrofuryl also reduce symptoms, more than placebo. To answer the question, we collected all published reports of randomized trials where the drug was compared with placebo. In addition, we went back to the original data of individual patients and made one big database with all data from all patients from all trials. We included seven studies with a total of 1266 patients. The improvement of pain-free walking distance was 37% larger in the naftidrofuryl group than the improvement observed in the placebo group. In the naftidrofuryl group 55% of the patients improved by more than 50%, compared with 30% of patients on placebo. Naftidrofuryl 200 mg (taken three times a day by mouth) improved walking distance in the six months after the start of therapy.

Assessment of the utility of visual feedback in the treatment of early rheumatoid arthritis patients: a pilot study.

Abstract: Earlier studies revealed that visual feedback has contributed in the management of neuromuscular as well as psychiatric disorders; however, it has not yet been applied in rheumatology. Visual feedback is a relatively new tool that enables the patient to visualize as well as monitor a real-time change of their disease activity parameters as well as the patient's reported outcome measures. Integrating electronic data recording in the standard rheumatology clinical practice made visual feedback possible. To evaluate the feasibility of using the visual feedback in patients with early inflammatory arthritis (EA) and how ubiquitous computing technology can improve the patients' compliance and adherence to therapy, this was a double-blind randomized controlled study, which included 111 patients diagnosed to have EA according to the new ACR/EULAR criteria. All patients received disease-modifying antirheumatic drugs (DMARDs) therapy and monitored regularly over the period of 1 year. By the 6th month of treatment, the patients were randomly allocated to an active group (55 patients) to whom the visual feedback (visualization of charts showing the progression of disease activity parameters) was added to their management protocol, and a control group (56 patients) who continued their standard management protocols. The patients were monitored for another 6-months period. All the patient's disease activity parameters, patient reported outcome measures (PROMs), medications, scores of falls, and cardiovascular risks were recorded electronically. Primary outcome was the change in the patients' adherence to their medications, disease activity score (DAS-28), and PROMs: pain score, patient global assessment, functional disability, and quality of life. Secondary outcome was the answers to a questionnaire completed by every patient in both the active group and control group (using Visual Analogue Scale) by the end of 1 year of management, to rate from the patient's perspective the impact of the management protocol, whether using the standard or visual feedback approach, on them and their disease. The visual feedback provided a significant greater reduction in disease activity parameters as well as improvement of the patients' adherence to antirheumatic therapy (P < 0.01). Also stopping the DMARDs therapy because of intolerance was significantly less in the active group. Concerns about the future was significantly less in the active group whereas inability to coup with daily life and disease stress were significantly more among the control group. The improvement of disease activity parameters was associated with improvement in functional disability and quality of life scores. Mean changes in disease parameters showed no significant differences at 3-6 months of therapy but differences were statistically significant at 12-months follow-up (P < 0.01). Medication compliance was significantly correlated with changes in all measured disease parameters. By recording and monitoring disease activity parameters electronically and incorporating the visual feedback approach into clinical practice, a new experience can be created. Visual feedback enabled the patients to see how they are doing regarding their disease activity and helps to optimize their adherence to their treatment. Visual feedback had a positive and significant impact on the disease activity control.

Inductively coupled data and power transfer system and apparatus

Abstract: The present invention provides a system and apparatus for transferring electronic data and/or power from one station to another by means of a transportable pod comprising a solid state memory device and further provided with an inductively linked, electrically insulated connector. The transportable pod comprises a battery which is used to power a remote host docking station, which may be used in an underwater environment for the collection of subsea data. The transportable pod can be transferred alternately from a home docking station, where it is charged up, and where it's stored data is uploaded and to a remote host docking station where is provides power, and where it collects and stores data collected by the remote host docking station.