BACKGROUND: Sarcopenic obesity significantly burdens health and autonomy. Strategies to intervene in or prevent sarcopenic obesity generally focus on losing body fat and building or maintaining muscle mass and function. For a lifestyle intervention, it is important to consider psychological aspects such as behavioral change techniques (BCTs) to elicit a long-lasting behavioral change.PURPOSE: The study was carried out to analyze BCTs used in exercise and nutritional interventions targeting community-dwelling adults around retirement age with sarcopenic obesity.METHODS: We conducted an analysis of articles cited in an existing systematic review on the effectiveness of exercise and nutritional interventions on physiological outcomes in community-dwelling adults around retirement age with sarcopenic obesity. We identified BCTs used in these studies by applying a standardized taxonomy.RESULTS: Only nine BCTs were identified. Most BCTs were not used intentionally (82 %), and those used derived from the implementation of lifestyle components, such as exercise classes ("instructions on how to perform a behavior," "demonstration of the behavior," "behavioral practice/rehearsal," and "body changes"). Only two studies used BCTs intentionally to reinforce adherence in their interventions.CONCLUSIONS: Few studies integrated BCTs in lifestyle interventions for community-dwelling persons around retirement age with sarcopenic obesity. Future studies on interventions to counteract sarcopenic obesity should include well-established BCTs to foster adherence and, therefore, their effectiveness.
Standard SARS-CoV-2 testing protocols using nasopharyngeal/throat (NP/T) swabs are invasive and require trained medical staff for reliable sampling. In addition, it has been shown that PCR is more sensitive as compared to antigen-based tests. Here we describe the analytical and clinical evaluation of our in-house RNA extraction-free saliva-based molecular assay for the detection of SARS-CoV-2. Analytical sensitivity of the test was equal to the sensitivity obtained in other Dutch diagnostic laboratories that process NP/T swabs. In this study, 955 individuals participated and provided NP/T swabs for routine molecular analysis (with RNA extraction) and saliva for comparison. Our RT-qPCR resulted in a sensitivity of 82,86% and a specificity of 98,94% compared to the gold standard. A false-negative ratio of 1,9% was found. The SARS-CoV-2 detection workflow described here enables easy, economical, and reliable saliva processing, useful for repeated testing of individuals.
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Production processes can be made ‘smarter’ by exploiting the data streams that are generated by the machines that are used in production. In particular these data streams can be mined to build a model of the production process as it was really executed – as opposed to how it was envisioned. This model can subsequently be analyzed and stress-tested to explore possible causes of production prob-lems and to analyze what-if scenarios, without disrupting the production process itself. It has been shown that such models can successfully be used to diagnose possible causes of production problems, including scrap products and machine defects. Ideally, they can even be used to model and analyze production processes that have not been implemented yet, based on data from existing production pro-cesses and techniques from artificial intelligence that can predict how the new process is likely to be-have in practice in terms of data that its machines generate. This is especially important in mass cus-tomization processes, where the process to create each product may be unique, and can only feasibly be tested using model- and data-driven techniques like the one proposed in this project. Against this background, the goal of this project is to develop a method and toolkit for mining, mod-elling and analyzing production processes, using the time series data that is generated by machines, to: (i) analyze the performance of an existing production process; (ii) diagnose causes of production prob-lems; and (iii) certify that a new – not yet implemented – production process leads to high-quality products. The method is developed by researching and combining techniques from the area of Artificial Intelli-gence with techniques from Operations Research. In particular, it uses: process mining to relate time series data to production processes; queueing networks to determine likely paths through the produc-tion processes and detect anomalies that may be the cause of production problems; and generative adversarial networks to generate likely future production scenarios and sample scenarios of production problems for diagnostic purposes. The techniques will be evaluated and adapted in implementations at the partners from industry, using a design science approach. In particular, implementations of the method are made for: explaining production problems; explaining machine defects; and certifying the correct operation of new production processes.
Routine neuropathology diagnostic methods are limited to histological staining techniques or directed PCR for pathogen detection and microbial cultures of brain abscesses are negative in one-third of the cases. Fortunately, due to improvements in technology, metagenomic sequencing of a conserved bacterial gene could provide an alternative diagnostic method. For histopathological work up, formalin-fixed paraffin-embedded (FFPE) tissue with highly degraded nucleic acids is the only material being available. Innovative amplicon-specific next-generation sequencing (NGS) technology has the capability to identify pathogens based on the degraded DNA within a few hours. This approach significantly accelerates diagnostics and is particularly valuable to identify challenging pathogens. This ensures optimal treatment for the patient, minimizing unnecessary health damage. Within this project, highly conserved primers in a universal PCR will be used, followed by determining the nucleotide sequence. Based on the obtained data, it is then precisely determined which microorganism(s) is/are responsible for the infection, even in cases of co-infection with multiple pathogens. This project will focus to answer the following research question; how can a new form of rapid molecular diagnostics contribute to the identification of microbial pathogens in CNS infections? The SME partner Molecular Biology Systems B.V. (MBS) develops and sells equipment for extremely rapid execution of the commonly used PCR. In this project, the lectorate Analysis Techniques in the Life Sciences (Avans) will, in collaboration with MBS, Westerdijk Institute (WI-KNAW) and the Institute of Neuropathology (Münster, DE) establish a new molecular approach for fast diagnosis within CNS infections using this MBS technology. This enables the monitoring of infectious diseases in a fast and user-friendly manner, resulting in an improved treatment plan.
New innovative methods to determine the DNA sequences of different bacterial species are rising. In the field of microbiology, these methods are very important since it is now possible to determine all the genetic characteristics of the bacterium in one step! This enables to define e.g. the species family, drug resistance or relatedness to other bacteria in outbreak evaluations which is necessary to efficiently treat the bacteria or target potential outbreaks. For many years, PCR-based methods have been the technique of choice to determine DNA sequences (including next-generation sequencing techniques). Recently, a new technique has been introduced to the market that is based on single molecule real-time sequencing (SMRT) with the possibility to determine the DNA sequence of a bacterium. This SMRT MinION sequencing technique is housed on an USB stick and is known for its user-friendliness and huge data output. However, before such a new technique can be implemented and presented in laboratories and used for educational purposes, methods should be harmonized and evaluated to proof its applicability. Harmonisation of the methodology regarding new laboratory techniques is very important to be able to compare results generated by different laboratories. A single consistent protocol, applied in each lab, is essential to obtain the best results in interlaboratory comparisons. During this KIEM-hbo project, we – i.e. Avans UAS, Maastricht University Medical Center and the company IS-diagnostics – will determine the DNA sequence of bacterial species and mixes thereof with a harmonized protocol for an interlaboratory comparison. We will compare this technique to the IS-PRO, an existing technology. Finally a workshop will be organized for medical technicians and other SMRT sequencing users to evaluate the protocols. This will, generate an up-to-date and harmonized sequencing protocol which can be expanded to future research and diagnostics in the different areas.
