Cardiac sources of cerebral embolism in people with migraine.

BACKGROUND AND PURPOSE: Whether the reported association between migraine with aura (MA) and cardioembolic stroke may be explained by a higher rate of atrial fibrillation (AF) or by other potential cardiac sources of cerebral embolism remains to be determined. METHODS: In the setting of a single centre cohort study of consecutive patients with acute brain ischaemia stratified by migraine status, the association between AF as well as patent foramen ovale (PFO) and migraine was explored. RESULTS: In all, 1738 patients (1017 [58.5%] men, mean age 67.9 ± 14.9 years) qualified for the analysis. Aging was inversely associated with migraine, whilst women had a >3-fold increased disease risk (odds ratio [OR] 3.82, 95% confidence interval [CI] 2.58-5.66). No association between AF and history of migraine or its pathogenic subtypes was detected. Conversely, migraine was associated with PFO, both in the entire cohort (OR 1.84, 95% CI 1.07-3.16) and in patients aged ≤55 years (OR 2.21, 95% CI 1.16-4.22). This association was significant for MA (OR 2.92, 95% CI 1.32-6.45 in the entire cohort; OR 2.92, 95% CI 1.15-7.41 in patients aged ≤55 years) and in women (OR 8.23, 95% CI 2.06-32.77), but not for migraine without aura. CONCLUSIONS: In patients with brain ischaemia migraine is not associated with AF. Conversely, there is a probable relation between migraine, especially MA, and PFO in patients who are younger and have a more favourable vascular risk factor profile, and in women.

A pictorial schema for a comprehensive user-oriented identification of medical Apps.

OBJECTIVES: The huge amount of released medical apps prevents medical app users from believing that medical scientific societies and other accreditation bodies as well, have the resources and the power for assigning to any medical app a quality score. By the time being, any medical app user has to take the risks related to the frequently insufficient accreditation of that app. Providing clear user-oriented schemas, to be adopted both when putting a medical App on the market and when an App comes to be evaluated by a cohort or single users, becomes crucial. The aim of our research was to define a pictorial identification one-shot schema for a comprehensive user-oriented identification of medical apps. METHODS: Adopting a pictorial approach is common in software design modeling. To build up our identification schema we started from the limited number of Apps already available on a web site of app reviews (iMedicalApps.com), and we identified an appropriately large set of attributes for describing medical apps. We arranged the attributes in six main families. We organized them in a one-shot comprehensive pictorial schema. We adopted a traffic light color code for assessing each attribute, that was sufficient to provide simple elements of alerts and alarms regarding a single App. Then, we considered apps from iMedicalApps.com web site belonging to three medical specialties: cardiology, oncology, and pharma and analyzed them according to the proposed pictorial schema. RESULTS: A pictorial schema having the attributes grouped in the families related to "Responsible Promoters", "Offered Services", "Searching Methods", "Applications Domains", "Envisaged Users", and "Qualifiers and Quantifiers" has been identified. Furthermore, we produced a one-shot pictorial schema for each considered app, and for each medical specialty, we produced it also in an aggregated form. CONCLUSIONS: The one-shot pictorial schema provides a useful perception of when and where to use a considered app. It fits positively the expectations of potential but different user's profiles. It can be a first step towards a systematic assessment of apps from the user viewpoint.

A comprehensive e-prescribing model to allow representing, comparing, and analyzing available systems.

BACKGROUND: Even though ePrescribing systems are now available in many healthcare systems and have been a crucial milestone of the roadmaps towards eHealth in the last years, there is still a large heterogeneity among functionalities and performances of different systems. OBJECTIVE: In this paper, we propose an updated comprehensive model for the ePrescribing process able to represent, analyze, and compare current systems and to support the design of new, more general, systems suitable also to sustain the ePrescription process in National Healthcare Systems. METHODS: After a preliminary literature review, we identified six main phases of the ePrescribing process, namely Assign, Transmit, Dispense, Administer, Monitor, and Analysis Decision. Each phase produces a digital object characterized by formal properties that ensure the collection of appropriate data and information and works as input for the next one. The impact, in terms of benefits, of ePrescribing on governance, drug surveillance, and quality of care at the individual, territorial, and governmental levels are related to the formal properties of the digital objects created at the end of each phase. RESULTS AND CONCLUSIONS: The model-based implementation of each phase has an impact on the quality of care, the access to care, and the effectiveness of care delivery. The model does not cover cost evaluation, but the benefits identified can be used as basis for cost-benefit or cost-effectiveness analysis of heterogeneous systems.

A system for prevention, care and rehabilitation of subject with cardiovascular risk: the signal processing algorithm library.

In the last years the home monitoring development is increased both for its capability as a real time tool to manage patients health and to reduce hospitalization costs. The home monitoring system is a complex structure that needs the collaboration of different disciplines, from medicine to engineering, and technologies. This project has been developed with the integration of different groups of research as to unify all the necessary knowledge. According to physician exigencies a signal processing library has been implemented to describe in a synthetic and effective way the pathological status of patients with moderate cardiovascular risk. Consequently a software and hardware architecture have been designed to acquire ECG signal, to extract HRV and respiratory information through a multiparametric approach and to store the results. This home monitoring system has been projected to work during an appropriate physical training section and its function is both diagnostic and therapeutic as well as for rehabilitation. The aim of this work is to describe the structure of the signal processing library.

Java-based browsing, visualization and processing of heterogeneous medical data from remote repositories.

The actual development of distributed information technologies and Java programming enables employing them also in the medical arena to support the retrieval, integration and evaluation of heterogeneous data and multimodal images in a web browser environment. With this aim, we used them to implement a client-server architecture based on software agents. The client side is a Java applet running in a web browser and providing a friendly medical user interface to browse and visualize different patient and medical test data, integrating them properly. The server side manages secure connections and queries to heterogeneous remote databases and file systems containing patient personal and clinical data. Based on the Java Advanced Imaging API, processing and analysis tools were developed to support the evaluation of remotely retrieved bioimages through the quantification of their features in different regions of interest. The Java platform-independence allows the centralized management of the implemented prototype and its deployment to each site where an intranet or internet connection is available. Giving healthcare providers effective support for comprehensively browsing, visualizing and evaluating medical images and records located in different remote repositories, the developed prototype can represent an important aid in providing more efficient diagnoses and medical treatments.