"Addiction is Not a Choice." #narcansaveslives: Collective Voice in Harm Reduction on TikTok.

Using 100 videos posted to TikTok by harm reduction creators with the hashtags #narcansaveslives and #naloxonesaveslives, this study examines who is posting, what they are saying, and how they are explaining Narcan/naloxone to their followers. Incorporating the concept of reverse agenda setting, we examine how, through hashtags, TikTok creators can set the agenda for what is important to discuss in the harm reduction space. Findings demonstrate that harm reduction creators have developed a collective voice and created an affective public, attempting to educate others, shed stigma, and normalize the conversation around harm reduction. These creators are using TikTok to educate followers about the prevalence of opioid use, the availability of Narcan/naloxone, correcting misinformation, and discussing the reality of recovery. Echoing prior studies, this research illustrates how TikTok has become an essential resource for health questions, including opioid use. Practical implications are also discussed.

Understanding older people's voice interactions with smart voice assistants: a new modified rule-based natural language processing model with human input.

The COVID-19 pandemic has expedited the integration of Smart Voice Assistants (SVA) among older people. The qualitative data derived from user commands on SVA is pivotal for elucidating the engagement patterns of older individuals with such systems. However, the sheer volume of user-generated voice interaction data presents a formidable challenge for manual coding. Compounding this issue, age-related cognitive decline and alterations in speech patterns further complicate the interpretation of older users' SVA voice interactions. Conventional dictionary-based textual analysis tools, which count word frequencies, are inadequate in capturing the evolving and communicative essence of these interactions that unfold over a series of dialogues and modify with time. To address these challenges, our study introduces a novel, modified rule-based Natural Language Processing (MR-NLP) model augmented with human input. This reproducible approach capitalizes on human-derived insights to establish a lexicon of critical keywords and to formulate rules for the iterative refinement of the NLP model. English speakers, aged 50 or older and residing alone, were enlisted to engage with Amazon Alexa™ via predefined daily routines for a minimum of 30 min daily spanning three months (N = 35, mean age = 77). We amassed time-stamped, textual data comprising participants' user commands and responses from Alexa™. Initially, a subset constituting 20% of the data (1,020 instances) underwent manual coding by human coder, predicated on keywords and commands. Separately, a rule-based Natural Language Processing (NLP) methodology was employed to code the identical subset. Discrepancies arising between human coder and the NLP model programmer were deliberated upon and reconciled to refine the rule-based NLP coding framework for the entire dataset. The modified rule-based NLP approach demonstrated notable enhancements in efficiency and scalability and reduced susceptibility to inadvertent errors in comparison to manual coding. Furthermore, human input was instrumental in augmenting the NLP model, yielding insights germane to the aging adult demographic, such as recurring speech patterns or ambiguities. By disseminating this innovative software solution to the scientific community, we endeavor to advance research and innovation in NLP model formulation, subsequently contributing to the understanding of older people's interactions with SVA and other AI-powered systems.

Partnering With Churches to Address COVID-19 Vaccine Hesitancy and Uptake in Trustworthy Contexts.

The Black church has long been seen as a crucial partner in addressing public health issues. This paper describes the development, implementation, and evaluation of a community-engaged church intervention addressing COVID-19 vaccine hesitancy in underserved Black communities in Jefferson County, Alabama. We partnered with churches to implement and evaluate the intervention between March and June of 2022 and found that our church partners were capable of significant messaging reach, particularly through electronic means. (Am J Public Health. 2024;114(S5):S392-S395. https://doi.org/10.2105/AJPH.2024.307683).

Non-operative management of terrible triad injuries of the elbow; not so terrible?

Introduction: Terrible triad injuries (TTIs) of the elbow have traditionally been reported to have poor outcomes, hence requiring surgical stabilisation. We identified and reviewed patients with TTIs treated non-operatively within our department. Methods: We retrospectively reviewed patients with TTI treated non-operatively with standardised elbow-instability rehabilitation from 2010 to 2020. We used Mason and Morrey classifications for radial head and coronoid fractures, respectively. Non-operative indications included a congruent joint on CT, significant co-morbidities pre-disposing to high-risk surgery and/or patient preference. Outcomes included Oxford Elbow Score (OES), ROM and complications. Results: Nineteen patients were included (mean age 49; 37% female). At an average of 6 years (range 2-11 years) post-treatment, mean OES was 46 ± 7. At last clinic review, mean 6 months (2-15), average ROM was 131 ± 11° flexion, 8 ± 10° extension, 85 ± 12° supination and 85 ± 13° pronation. One patient required arthrolysis and another had an incongruent ulnohumeral joint which developed clicking with a functional ROM. Conclusion: Our report suggests non-operatively managed and appropriately rehabilitated TTI injuries can achieve good function and ROM. We recommend conservative management as a viable option in cases with joint congruency and no mechanical block in patients with significant co-morbidities or those refusing surgery but patients must be assessed on a case-by-case basis.

N-glycosylation of the SARS-CoV-2 spike protein at Asn331 and Asn343 is involved in spike-ACE2 binding, virus entry, and regulation of IL-6.

The coronavirus disease 2019 (COVID-19) pandemic is an ongoing global public health crisis. The causative agent, the SARS-CoV-2 virus, enters host cells via molecular interactions between the viral spike protein and the host cell ACE2 surface protein. The SARS-CoV-2 spike protein is extensively decorated with up to 66 N-linked glycans. Glycosylation of viral proteins is known to function in immune evasion strategies but may also function in the molecular events of viral entry into host cells. Here, we show that N-glycosylation at Asn331 and Asn343 of SARS-CoV-2 spike protein is required for it to bind to ACE2 and for the entry of pseudovirus harboring the SARS-CoV-2 spike protein into cells. Interestingly, high-content glycan binding screening data have shown that N-glycosylation of Asn331 and Asn343 of the RBD is important for binding to the specific glycan molecule G4GN (Galß-1,4 GlcNAc), which is critical for spike-RBD-ACE2 binding. Furthermore, IL-6 was identified through antibody array analysis of conditioned media of the corresponding pseudovirus assay. Mutation of N-glycosylation of Asn331 and Asn343 sites of the spike receptor-binding domain (RBD) significantly reduced the transcriptional upregulation of pro-inflammatory signaling molecule IL-6. In addition, IL-6 levels correlated with spike protein levels in COVID-19 patients' serum. These findings establish the importance of RBD glycosylation in SARS-CoV-2 pathogenesis, which can be exploited for the development of novel therapeutics for COVID-19.

Reducing Loneliness and Improving Social Support among Older Adults through Different Modalities of Personal Voice Assistants.

This study examines the potential of AI-powered personal voice assistants (PVAs) in reducing loneliness and increasing social support among older adults. With the aging population rapidly expanding, innovative solutions are essential. Prior research has indicated the effectiveness of various interactive communication technologies (ICTs) in mitigating loneliness, but studies focusing on PVAs, particularly considering their modality (audio vs. video), are limited. This research aims to fill this gap by evaluating how voice assistants, in both audio and video formats, influence perceived loneliness and social support. This study examined the impact of voice assistant technology (VAT) interventions, both audio-based (A-VAT) and video-based (V-VAT), on perceived loneliness and social support among 34 older adults living alone. Over three months, participants engaged with Amazon Alexa™ PVA through daily routines for at least 30 min. Using a hybrid natural language processing framework, interactions were analyzed. The results showed reductions in loneliness (Z = -2.99, p < 0.01; pre-study loneliness mean = 1.85, SD = 0.61; post-study loneliness mean = 1.65, SD = 0.57), increases in social support post intervention (Z = -2.23, p < 0.05; pre-study social support mean = 5.44, SD = 1.05; post-study loneliness mean = 5.65, SD = 1.20), and a correlation between increased social support and loneliness reduction when the two conditions are combined (ρ = -0.39, p < 0.05). In addition, V-VAT was more effective than A-VAT in reducing loneliness (U = 85.50, p < 0.05) and increasing social support (U = 95, p < 0.05). However, no significant correlation between changes in perceived social support and changes in perceived loneliness was observed in either intervention condition (V-VAT condition: ρ = -0.24, p = 0.37; A-VAT condition: ρ = -0.46, p = 0.06). This study's findings could significantly contribute to developing targeted interventions for improving the well-being of aging adults, addressing a critical global issue.

The Impact of Interaction Time and Verbal Engagement with Personal Voice Assistants on Alleviating Loneliness among Older Adults: An Exploratory Study.

BACKGROUND: Loneliness in older adults is a critical issue that negatively affects their well-being. The potential of personal voice assistant (PVA) devices like Amazon's Alexa Echo in reducing loneliness is an emerging area of interest, but it remains under-researched. OBJECTIVE: this study aims to investigate the effect of interaction time and verbal engagement with PVA devices on reducing loneliness among older adults living alone. METHOD: In this experiment, individuals aged 75 and older (n = 15), living alone, were provided with Amazon Alexa Echo devices. They were instructed to interact with the device at least five times a day for a duration of four weeks. The study measured participants' loneliness levels using the UCLA loneliness scale both before and after the study. Additionally, the interaction time and verbal engagement with the device were measured by the total time of use and the total number of intentional commands spoken to Alexa during the four-week period. RESULTS: The findings revealed that the total time spent interacting with Alexa was a significant predictor of loneliness reduction. A mediation analysis indicated an indirect effect, showing that the number of intentional commands spoken to Alexa contributed to loneliness reduction indirectly by increasing the total time spent with the device (verbal engagement → interaction time → loneliness reduction). CONCLUSIONS: This study suggests that the key to reducing loneliness among older adults through PVA devices is not just initiating verbal interaction, but the overall time devoted to these interactions. While speaking to Alexa is a starting point, it is the duration of engagement that primarily drives loneliness alleviation.

Reverse shoulder arthroplasty versus hemiarthroplasty versus non-surgical treatment for older adults with acute 3- or 4-part fractures of the proximal humerus: study protocol for a randomised controlled trial (PROFHER-2: PROximal Fracture of Humerus Evaluation by Randomisation - Trial Number 2).

BACKGROUND: Proximal humerus fractures (PHF) are common and painful injuries, with the majority resulting from falls from a standing height. As with other fragility fractures, its age-specific incidence is increasing. Surgical treatment with hemiarthroplasty (HA) and reverse shoulder arthroplasty (RSA) have been increasingly used for displaced 3- and 4-part fractures despite a lack of good quality evidence as to whether one type of arthroplasty is superior to the other, and whether surgery is better than non-surgical management. The PROFHER-2 trial has been designed as a pragmatic, multicentre randomised trial to compare the clinical and cost-effectiveness of RSA vs HA vs Non-Surgical (NS) treatment in patients with 3- and 4-part PHF. METHODS: Adults over 65 years of age presenting with acute radiographically confirmed 3- or 4-part fractures, with or without associated glenohumeral joint dislocation, who consent for trial participation will be recruited from around 40 National Health Service (NHS) Hospitals in the UK. Patients with polytrauma, open fractures, presence of axillary nerve palsy, pathological (other than osteoporotic) fractures, and those who are unable to adhere to trial procedures will be excluded. We will aim to recruit 380 participants (152 RSA, 152 HA, 76 NS) using 2:2:1 (HA:RSA:NS) randomisation for 3- or 4-part fractures without joint dislocation, and 1:1 (HA:RSA) randomisation for 3- or 4-part fracture dislocations. The primary outcome is the Oxford Shoulder Score at 24 months. Secondary outcomes include quality of life (EQ-5D-5L), pain, range of shoulder motion, fracture healing and implant position on X-rays, further procedures, and complications. Independent Trial Steering Committee and Data Monitoring Committee will oversee the trial conduct, including the reporting of adverse events and harms. DISCUSSION: The PROFHER-2 trial is designed to provide a robust answer to guide the treatment of patients aged 65 years or over who sustain 3- and 4-part proximal humeral fractures. The pragmatic design and recruitment from around 40 UK NHS hospitals will ensure immediate applicability and generalisability of the trial findings. The full trial results will be made available in a relevant open-access peer-reviewed journal. TRIAL REGISTRATION: ISRCTN76296703. Prospectively registered on 5th April 2018.

Elbow conditions: research priorities setting in partnership with the James Lind Alliance.

OBJECTIVE: To undertake a UK-based James Lind Alliance (JLA) Priority Setting Partnership for elbow conditions and be representative of the views of patients, carers and healthcare professionals (HCPs). SETTING: This was a national collaborative study organised through the British Elbow and Shoulder Society. PARTICIPANTS: Adult patients, carers and HCPs who have managed or experienced elbow conditions, their carers and HCPs in the UK involved in managing of elbow conditions. METHODS: The rigorous JLA priority setting methodology was followed. Electronic and paper scoping surveys were distributed to identify potential research priority questions (RPQs). Initial responses were reviewed and a literature search was performed to cross-check categorised questions. Those questions already sufficiently answered were excluded and the remaining questions were ranked in a second survey according to priority for future elbow conditions research. Using the JLA methodology, responses from HCP and patients were combined to create a list of the top 18 questions. These were further reviewed in a dedicated multistakeholder workshop where the top 10 RPQs were agreed by consensus. RESULTS: The process was completed over 24 months. The initial survey resulted in 467 questions from 165 respondents (73% HCPs and 27% patients/carers). These questions were reviewed and combined into 46 summary topics comprising: tendinopathy, distal biceps pathology, arthritis, stiffness, trauma, arthroplasty and cubital tunnel syndrome. The second (interim prioritisation) survey had 250 respondents (72% HCP and 28% patients/carers). The top 18 ranked questions from this survey were taken to the final workshop where a consensus was reached on the top 10 RPQs. CONCLUSIONS: The top 10 RPQs highlight areas of importance that currently lack sufficient evidence to guide diagnosis, treatment and rehabilitation of elbow conditions. This collaborative process will guide researchers and funders regarding the topics that should receive most future attention and benefit patients and HCPs.

Distributed application of guideline-based decision support through mobile devices: Implementation and evaluation.

BACKGROUND: Traditionally guideline (GL)-based Decision Support Systems (DSSs) use a centralized infrastructure to generate recommendations to care providers, rather than to patients at home. However, managing patients at home is often preferable, reducing costs and empowering patients. Thus, we wanted to explore an option in which patients, in particular chronic patients, might be assisted by a local DSS, which interacts as needed with the central DSS engine, to manage their disease outside the standard clinical settings. OBJECTIVES: To design, implement, and demonstrate the technical and clinical feasibility of a new architecture for a distributed DSS that provides patients with evidence-based guidance, offered through applications running on the patients' mobile devices, monitoring and reacting to changes in the patient's personal environment, and providing the patients with appropriate GL-based alerts and personalized recommendations; and increase the overall robustness of the distributed application of the GL. METHODS: We have designed and implemented a novel projection-callback (PCB) model, in which small portions of the evidence-based guideline's procedural knowledge are projected from a projection engine within the central DSS server, to a local DSS that resides on each patient's mobile device. The local DSS applies the knowledge using the mobile device's local resources. The GL projections generated by the projection engine are adapted to the patient's previously defined preferences and, implicitly, to the patient's current context, in a manner that is embodied in the projected therapy plans. When appropriate, as defined by a temporal pattern within the projected plan, the local DSS calls back the central DSS, requesting further assistance, possibly another projection. To support the new model, the initial specification of the GL includes two levels: one for the central DSS, and one for the local DSS. We have implemented a distributed GL-based DSS using the projection-callback model within the MobiGuide EU project, which automatically manages chronic patients at home using sensors on the patients and their mobile phone. We assessed the new GL specification process, by specifying two very different, complex GLs: for Gestational Diabetes Mellitus, and for Atrial Fibrillation. Then, we evaluated the new computational architecture by applying the two GLs to the automated clinical management, at real time, of patients in two different countries: Spain and Italy, respectively. RESULTS: The specification using the new projection-callback model was found to be quite feasible. We found significant differences between the distributed versions of the two GLs, suggesting further research directions and possibly additional ways to analyze and characterize GLs. Applying the two GLs to the two patient populations proved highly feasible as well. The mean time between the central and local interactions was quite different for the two GLs: 3.95 ± 1.95 days in the case of the gestational diabetes domain, and 23.80 ± 12.47 days, in the case of the atrial fibrillation domain, probably corresponding to the difference in the distributed specifications of the two GLs. Most of the interaction types were due to projections to the local DSS (83%); others were data notifications, mostly to change context (17%). Some of the data notifications were triggered due to technical errors. The robustness of the distributed architecture was demonstrated through the successful recovery from multiple crashes of the local DSS. CONCLUSIONS: The new projection-callback model has been demonstrated to be feasible, from specification to distributed application. Different GLs might significantly differ, however, in their distributed specification and application characteristics. Distributed medical DSSs can facilitate the remote management of chronic patients by enabling the central DSSs to delegate, in a dynamic fashion, determined by the patient's context, much of the monitoring and treatment management decisions to the mobile device. Patients can be kept in their home environment, while still maintaining, through the projection-callback mechanism, several of the advantages of a central DSS, such as access to the patient's longitudinal record, and to an up-to-date evidence-based GL repository.

Development and evaluation of time-resolved fluorescent immunochromatographic assay for quantitative detection of SARS-CoV-2 spike antigen.

BACKGROUND: The spread of COVID-19 worldwide caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has necessitated efficient, sensitive diagnostic methods to identify infected people. We report on the development of a rapid 15-minute time-resolved fluorescent (TRF) lateral flow immunochromatographic assay for the quantitative detection of the SARS-CoV-2 spike protein receptor-binding domain (S1-RBD). OBJECTIVES: Our objective was to develop an efficient method of detecting SARS-CoV-2 within 15 min of sample collection. METHODS: We constructed and evaluated a portable, disposable lateral flow device, which detected the S1-RBD protein directly in nasopharyngeal swab samples. The device emits a fluorescent signal in the presence of S1-RBD, which can be captured by an automated TRF instrument. RESULTS: The TRF lateral flow assay signal was linear from 0 to 20 ng/ml and demonstrated high accuracy and reproducibility. When evaluated with clinical nasopharyngeal swabs, the assay was performed at >80% sensitivity, >84% specificity, and > 82% accuracy for detection of the S1-RBD antigen. CONCLUSION: The new S1-RBD antigen test is a rapid (15 min), sensitive, and specific assay that requires minimal sample preparation. Critically, the assay correlated closely with PCR-based methodology in nasopharyngeal swab samples, showing that the detected S1-RBD antigen levels correlate with SARS-CoV-2 virus load. Therefore, the new TRF lateral flow test for S1-RBD has potential application in point-of-care settings.

The spike-ACE2 binding assay: An in vitro platform for evaluating vaccination efficacy and for screening SARS-CoV-2 inhibitors and neutralizing antibodies.

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 has become a worldwide pandemic, and there is a pressing need for the rapid development of novel therapeutic strategies. SARS-CoV-2 viral entry is mediated by interaction between the receptor binding domain (RBD) of the SARS-CoV-2 Spike protein and host cellular receptor, human angiotensin converting enzyme 2 (ACE2). The lack of a high throughput screening (HTS) platform for candidate drug screening means that no targeted COVID-19 treatments have been developed to date. To overcome this limitation, we developed a novel, rapid, simple, and HTS binding assay platform to screen potential inhibitors of the RBD-ACE2 complex. Three "neutralizing" mouse monoclonal antibodies capable of blocking the RBD-ACE2 interaction were identified using our binding assay and pseudovirus neutralization assay followed by further validation with the Focus Reduction Neutralization Test (FRNT), which analyzes the neutralization capacity of samples in the presence of live SARS-CoV-2. Furthermore, the consistency of our binding assay and FRNT results (R2 = 0.68) was demonstrated by patients' serum, of which were COVID-19 positive (n = 34) and COVID-19 negative (n = 76). Several small molecules selected for their potential to inhibit the Spike-ACE2 complex in silico were also confirmed with the binding assay. In addition, we have evaluated vaccine efficacy using binding assay platform and validated through pseudovirus neutralization assay. The correlation between binding assay & psuedovirus assay of the post vaccinated serum showed well correlated (R2 = 0.09) Moreover, our binding assay platform successfully validated different Spike RBD mutants. These results indicate that our binding assay can be used as a platform for in vitro screening of small molecules and monoclonal antibodies, and high-throughput assessment of antibody levels after vaccination. When conducting drug screening, computer virtual screening lacks actual basis, construction of pseudoviruses is relatively complicated, and even FRNT requires a P3 laboratory. There are few methods to determine the competitiveness of the target drug and SRBD or ACE2. Our binding assay can fill this gap and accelerate the process and efficiency of COVID-19 drug screening.

Reducing Loneliness Among Aging Adults: The Roles of Personal Voice Assistants and Anthropomorphic Interactions.

The perception of feeling lonely is an influential factor in determining quality of life among aging adults. As the US Census Bureau projects that the number of Americans ages 65 and older will double by 2060, reducing loneliness is imperative. Personal voice assistants (PVAs) such as Amazon's Echo offer the ease-of-use of voice control with a friendly, helpful artificial intelligence. This study aimed to understand the influence of a PVA on loneliness reduction among adults of advanced ages, i.e., 75+, and explore anthropomorphism as a potential underlying mechanism. Participants (N = 16) ages 75 or older used an Amazon Echo PVA for 8 weeks in an independent living facility in the Midwest. Surveys were used to collect information about perceived loneliness, and PVA interaction data was recorded and analyzed. Participants consistently exceeded the required daily interactions. As hypothesized, after the first 4 weeks of the intervention, aging adults reported significantly lower loneliness (baseline mean = 2.22, SD = 0.42; week 4 mean = 1.99, SD = 0.45, Z = -2.45, and p = 0.01). Four dominant anthropomorphic themes emerged after thematic analysis of the entire 8 weeks' PVA interaction data (Cohen's Kappa = 0.92): (1) greetings (user-initiated, friendly phrases); (2) comments/questions (user-initiated, second-person pronoun), (3) polite interactions (user-initiated, direct-name friendly requests), (4) reaction (user response to Alexa). Relational greetings predicted loneliness reductions in the first 4 weeks and baseline loneliness predicted relational greetings with the PVA during the entire 8 weeks, suggesting that anthropomorphization of PVAs may play a role in mitigating loneliness in aging adults.

Therapeutic index for local infections score (TILI): a new diagnostic tool.

OBJECTIVE: Local wound infections are a major challenge for patients and health professionals. Various diagnostic and therapeutic options are available. However, a generally accepted standard is still lacking in Europe. The aim was to develop an easy-to-use clinical score for the early detection of local wound infections, as a basis for decision-making on antiseptic therapy or decolonisation. METHOD: An interdisciplinary and interprofessional panel of experts from seven European countries was brought together to discuss the various aspects of diagnosing local wound infections. RESULTS: The result was the adoption of the Therapeutic Index for Local Infections (TILI) score, developed in Germany by Initiative Chronische Wunden e.V., specifically for health professionals not specialised in wound care. Available in six European languages, the TILI score could also be adapted for different European countries, depending on their specific national healthcare requirements. The six clinical criteria for local wound infection are erythema to surrounding skin; heat; oedema, induration or swelling; spontaneous pain or pressure pain; stalled wound healing; and increase and/or change in colour or smell of exudate. Meeting all criteria indicates that antiseptic wound therapy could be started. Regardless of these unspecific clinical signs, there are also health conditions for the clinical situation which are a direct indication for antimicrobial wound therapy. These include the presence of wound pathogens, such as meticillin-resistant Staphylococcus aureus, septic surgical wound or the presence of free pus. CONCLUSION: The development of the new internationally adapted TILI score, which could also be used by any caregiver in daily practice to diagnose local infections in acute and hard-to-heal wounds, is the result of expert consensus. However, the score system has to be validated through a clinical evaluation. This is to be performed in expert centres throughout Europe.

Therapeutic Index for Local Infections score validity: a retrospective European analysis.

OBJECTIVE: A score to identify local wound infections was developed by a panel of experts from seven European countries. The Therapeutic Index for Local Infections (TILI) score was designed for health professionals who are not specialised in wound care. This study was carried out to test the validity of the TILI score in everyday practice. METHOD: Content validity was analysed by means of evaluation by a panel of experts, individually and face-to-face, followed by a European multicentred, retrospective, observational study. Participating clinicians sent anonymised copies of completed TILI scores for patients with leg ulcers along with a photograph of the wound for analysis by two blinded reviewers. Concordance (Kappa index) and convergent criterion validity (sensitivity, specificity, accuracy, Youden's J Index and receiver operator characteristic (ROC) or area under the curve (AUC) curve) were calculated to construct validity and reliability. RESULTS: A total of 307 patients with leg ulcers from seven institutions in five European countries were included in this retrospective analysis. It was shown that the diagnosis of local wound infection could be documented well with five of the six clinical criteria included in the TILI score. By summing up these facultative criteria in comparison with any direct criteria that may be present, there would have been an indication for local antiseptic wound therapy in 22% of patients examined. CONCLUSIONS: The results show that the TILI score is concordant with the expert assessment of patients and with good diagnostic characteristics. Thus, the easy-to-use TILI score can now be used in the daily routine practice of health professionals to diagnose local wound infections.

Quantitative proteomic analyses in blood: A window to human health and disease.

This review discusses how the measurement of proteins in blood and its components via quantitative proteomics analyses can inform health status. Various external and internal factors such as environmental conditions, genetic background, nutrition, diet, and lifestyle, chronic pathological conditions, disease state, or therapeutic intervention will be investigated and their effects on the protein profile will be shown. The resulting changes to ones' health and how this protein expression information can be used in early screening/diagnostic applications, drug discovery, precision treatment, patient management, and monitoring overall health status will also be presented.

Hyperacute neurology at a regional neurosciences centre: a 1-year experience of an innovative service model.

St George's Hospital hyperacute neurology service (HANS) is a comprehensive, consultant-delivered service set in a teaching hospital regional neuroscience centre. The service addresses deficiencies in acute neurological care previously highlighted by the Royal College of Physicians and the Association of British Neurologists. HANS adopts a disease-agnostic approach to acute neurology, prioritising the emergency department (ED) management of both stroke and stroke mimics alike alongside proactive daily support to the acute medical unit and acute medical take. Rapid access clinics provide a means to assess ambulatory patients, providing an outlet to reduce the burden of referral from primary care to acute medicine. This paper reports the results from the first year of the service. Admission was avoided in 25% of the cases reviewed in the ED. Compared to historic data, there was a significant improvement in the length of stay for non-stroke disorders while the occupancy of stroke beds by non-stroke cases reduced by 50%. The configuration of this service is replicable in other neuroscience centres and provides a framework to reduce the barriers facing patients who present with acute neurological symptoms.

The MADE Reference Information Model for Interoperable Pervasive Telemedicine Systems.

OBJECTIVES: The main objective is to develop and validate a reference information model (RIM) to support semantic interoperability of pervasive telemedicine systems. The RIM is one component within a larger, computer-interpretable "MADE language" developed by the authors in the context of the MobiGuide project. To validate our RIM, we applied it to a clinical guideline for patients with gestational diabetes mellitus (GDM). METHODS: The RIM is derived from a generic data flow model of disease management which comprises a network of four types of concurrent processes: Monitoring (M), Analysis (A), Decision (D) and Effectuation (E). This resulting MADE RIM, which was specified using the formal Vienna Development Method (VDM), includes six main, high-level data types representing measurements, observations, abstractions, action plans, action instructions and control instructions. RESULTS: The authors applied the MADE RIM to the complete GDM guideline and derived from it a domain information model (DIM) comprising 61 archetypes, specifically 1 measurement, 8 observation, 10 abstraction, 18 action plan, 3 action instruction and 21 control instruction archetypes. It was observed that there are six generic patterns for transforming different guideline elements into MADE archetypes, although a direct mapping does not exist in some cases. Most notable examples are notifications to the patient and/or clinician as well as decision conditions which pertain to specific stages in the therapy. CONCLUSIONS: The results provide evidence that the MADE RIM is suitable for modelling clinical data in the design of pervasive telemedicine systems. Together with the other components of the MADE language, the MADE RIM supports development of pervasive telemedicine systems that are interoperable and independent of particular clinical applications.

Application of multiplex immunoassay technology to investigations of ocular disease.

Eye-derived fluids, including tears, aqueous humour and vitreous humour often contain molecular signatures of ocular disease states. These signatures can be composed of cytokines, chemokines, growth factors, proteases and soluble receptors. However, the small quantities (<10 µl) of these fluids severely limit the detection of these proteins by traditional enzyme-linked immunosorbent assay or Western blot. To maximise the amount of information generated from the analysis of these specimens, many researchers have employed multiplex immunoassay technologies for profiling the expression or modification of multiple proteins from minute sample volumes.