Pre‐screening models for patient engagement: The MOPEAD project

AbstractBackgroundAlzheimer's disease (AD) is a devastating condition that not only impacts greatly on the patient's health but also poses an important burden on the patient's immediate family circle. Early detection of AD allows patients to have an active role in managing their condition, and to plan how to minimize the strain on their dear ones. Despite known benefits, a large proportion of dementia cases remains undiagnosed or receives a late stage diagnosis. The MOPEAD project aims to address this issue by exploring innovative strategies to emerge "hidden" cases of cognitive impairment.MethodMemory clinics located in five different European countries participated in the project. Four innovative pre‐screening strategies were implemented to detect cognitive decline among individuals aged 65‐85 years who had never received a dementia related diagnosis: a) a web‐based pre‐screening tool along with an online marketing campaign, b) open house initiatives where people with memory complaints were invited to receive a quick evaluation at participating memory clinics, c) a primary care‐based protocol for early detection of cognitive decline using easily administered tools, and d) a tertiary care‐based pre‐screening at diabetologist clinics specifically designed to assess risk of dementia among patients with diabetes. A positive pre‐screening result implied that individuals were at high risk of having mild cognitive impairment or AD.ResultThe number of individuals enrolled, and the proportion of those with positive pre‐screening results varied across strategies. The web‐based tool evaluated the largest number of individuals (n=1487) and yielded 547 positive results (36.8%). The Open house initiative pre‐screened 661 subjects of whom 235 (35.6%) obtained a positive result. A total of 435 patients were pre‐screened in the primary care‐based strategy and 193 of them (44.4%) were found to have a positive result. Finally, 264 patients from diabetes clinics underwent pre‐screening and 154 (58.3%) showed a positive result.ConclusionUsing innovative pre‐screening strategies, we were able to identify 1129 individuals at high risk of having dementia who had otherwise remained unnoticed. Initiatives like this, show us the way to go in order to shift the paradigm of AD towards an earlier diagnosis

Complementary pre-screening strategies to uncover hidden prodromal and mild Alzheimer's disease : Results from the MOPEAD project

The Models of Patient Engagement for Alzheimer's Disease (MOPEAD) project was conceived to explore innovative complementary strategies to uncover hidden prodromal and mild Alzheimer's disease (AD) dementia cases and to raise awareness both in the general public and among health professionals about the importance of early diagnosis. Four different strategies or RUNs were used: (a) a web-based (WB) prescreening tool, (2) an open house initiative (OHI), (3) a primary care-based protocol for early detection of cognitive decline (PC), and (4) a tertiary care-based pre-screening at diabetologist clinics (DC). A total of 1129 patients at high risk of having prodromal AD or dementia were identified of 2847 pre-screened individuals (39.7%). The corresponding proportion for the different initiatives were 36.8% (WB), 35.6% (OHI), 44.4% (PC), and 58.3% (DC). These four complementary pre-screening strategies were useful for identifying individuals at high risk of having prodromal or mild AD

Prediction of second neurological attack in patients with clinically isolated syndrome using support vector machines

The aim of this study is to predict the conversion from clinically isolated syndrome to clinically definite multiple sclerosis using support vector machines. The two groups of converters and non-converters are classified using features that were calculated from baseline data of 73 patients. The data consists of standard magnetic resonance images, binary lesion masks, and clinical and demographic information. 15 features were calculated and all combinations of them were iteratively tested for their predictive capacity using polynomial kernels and radial basis functions with leave-one-out cross-validation. The accuracy of this prediction is up to 86.4% with a sensitivity and specificity in the same range indicating that this is a feasible approach for the prediction of a second clinical attack in patients with clinically isolated syndromes, and that the chosen features are appropriate. The two features gender and location of onset lesions have been used in all feature combinations leading to a high accuracy suggesting that they are highly predictive. However, it is necessary to add supporting features to maximise the accuracy. © 2013 IEEE

Maintenance of heating station

V diplomskem delu je opisan in predstavljen proces ogrevanja na biomaso v podjetju Terme Olimia d.d.. Zaradi popolne avtomatizacije sistema je proces zelo zanesljiv, vendar potrebuje vsakodnevno kontrolo in vzdrževanje. Ker ima podjetje svojo vzdrževalno skupino, bodo večino vzdrževalnih opravil opravljali sami. Proces in vse izvršilne elemente bom preučil ter poiskal kritična mesta sistema. Rezultat naloge so podani preventivni ukrepi ter vzdrževalna opravila, ki pripomorejo k zmanjšanju kritičnosti sistema.maintenance, preventive maintenance, FMEA analysis, critical points, syste

Networking of Public Passenger Transport Modes, a Step Towards Sustainable Mobility in Ljubljana Urban Region

Ljubljana urban region (LUR) with the capital Ljubljana is located in the central part of Slovenia and represents a strategically important traffic hub, where two major Trans-European corridors meet. LUR is the biggest Slovene region and because of Ljubljana, also an administrative centre of the country. Spatial development of the region over the recent years has been characterized by suburbanization and the intensive development of road infrastructure, which additionally stimulated and promoted the use of cars. On the other hand, public transportation in the capital and in the whole region has not been effectively adapting to the rising demand for mobility. This has created a great gap between public and personal transport, which is difficult to overcome. Having the above mentioned situation in mind, a modern, efficient and high-quality public transportation plan for LUR has been elaborated. The proposed system consists of intermodal hubs with the P+R services and high capacity public transport lanes that interconnect into a high performance regional public transportation network. A new public transport regime would benefit LUR residents as well as residents of the neighbouring regions by considerably improving the sustainability of their mobility. At the same time, the number of cars on the roads would decrease; having positive sustainable impacts on the environment and everybody who lives, works, studies or visits Ljubljana and the LUR region

Complementary pre-screening strategies to uncover hidden prodromal and mild Alzheimer's disease : Results from the MOPEAD project

Introduction: The Models of Patient Engagement for Alzheimer's Disease (MOPEAD) project was conceived to explore innovative complementary strategies to uncover hidden prodromal and mild Alzheimer's disease (AD) dementia cases and to raise awareness both in the general public and among health professionals about the importance of early diagnosis. Methods: Four different strategies or RUNs were used: (a) a web-based (WB) prescreening tool, (2) an open house initiative (OHI), (3) a primary care–based protocol for early detection of cognitive decline (PC), and (4) a tertiary care–based pre-screening at diabetologist clinics (DC). Results: A total of 1129 patients at high risk of having prodromal AD or dementia were identified of 2847 pre-screened individuals (39.7%). The corresponding proportion for the different initiatives were 36.8% (WB), 35.6% (OHI), 44.4% (PC), and 58.3% (DC). Conclusion: These four complementary pre-screening strategies were useful for identifying individuals at high risk of having prodromal or mild AD

Complementary pre-screening strategies to uncover hidden prodromal and mild Alzheimer's disease: Results from the MOPEAD project

Introduction: The Models of Patient Engagement for Alzheimer's Disease (MOPEAD) project was conceived to explore innovative complementary strategies to uncover hidden prodromal and mild Alzheimer's disease (AD) dementia cases and to raise awareness both in the general public and among health professionals about the importance of early diagnosis. Methods: Four different strategies or RUNs were used: (a) a web-based (WB) prescreening tool, (2) an open house initiative (OHI), (3) a primary care–based protocol for early detection of cognitive decline (PC), and (4) a tertiary care–based pre-screening at diabetologist clinics (DC). Results: A total of 1129 patients at high risk of having prodromal AD or dementia were identified of 2847 pre-screened individuals (39.7%). The corresponding proportion for the different initiatives were 36.8% (WB), 35.6% (OHI), 44.4% (PC), and 58.3% (DC). Conclusion: These four complementary pre-screening strategies were useful for identifying individuals at high risk of having prodromal or mild AD

Complementary pre-screening strategies to uncover hidden prodromal and mild Alzheimer's disease: Results from the MOPEAD project

Introduction The Models of Patient Engagement for Alzheimer's Disease (MOPEAD) project was conceived to explore innovative complementary strategies to uncover hidden prodromal and mild Alzheimer's disease (AD) dementia cases and to raise awareness both in the general public and among health professionals about the importance of early diagnosis. Methods Four different strategies or RUNs were used: (a) a web-based (WB) prescreening tool, (2) an open house initiative (OHI), (3) a primary care-based protocol for early detection of cognitive decline (PC), and (4) a tertiary care-based pre-screening at diabetologist clinics (DC). Results A total of 1129 patients at high risk of having prodromal AD or dementia were identified of 2847 pre-screened individuals (39.7%). The corresponding proportion for the different initiatives were 36.8% (WB), 35.6% (OHI), 44.4% (PC), and 58.3% (DC). Conclusion These four complementary pre-screening strategies were useful for identifying individuals at high risk of having prodromal or mild AD

The MOPEAD project: Advancing patient engagement for the detection of “hidden” undiagnosed cases of Alzheimer's disease in the community

In most, if not all health systems, dementia is underdiagnosed, and when diagnosis occurs, it is typically at a relatively late stage in the disease process despite mounting evidence showing that a timely diagnosis would result in numerous benefits for patients, families, and society. Moving toward earlier diagnoses in Alzheimer's disease (AD) requires a conscientious and collective effort to implement a global strategy addressing the multiple causes hindering patient engagement at different levels of society. This article describes the design of the Models of Patient Engagement for Alzheimer's Disease project, an ongoing EU-funded public-private multinational initiative that will compare four innovative patient engagement strategies across five European countries regarding their ability to identify individuals with prodromal AD and mild AD dementia, which are “hidden” in their communities and traditionally not found in the typical memory clinic setting. The strategies include an online AD citizen science platform, an open house initiative at the memory clinics, and patient engagement at primary care and diabetologist clinics