Pre-assessment of patients with suspected axial spondyloarthritis combining student-led clinics and telemedicine: a qualitative study.

OBJECTIVE: Patients referred to rheumatologists are currently facing months of inefficient waiting time due to the increasing demand and rising workforce shortage. We piloted a pre-assessment of patients with suspected axial spondyloarthritis (axSpA) combining student-led clinics and telemedicine (symptom assessment, symptom monitoring and at-home capillary self-sampling) to improve access to rheumatology care. The aim of this study was to explore (1) current challenges accessing axSpA care and (2) patients' first-hand experiences. METHODS: Embedded within a clinical trial, this study was based on qualitative interviews with patients with suspected axSpA (n = 20). Data was analysed via qualitative content analysis. RESULTS: Student-led clinics were perceived as high-quality care, comparable to conventional rheumatologist-led visits. Patients expressed that their interactions with the students instilled a sense of trust. History-taking and examinations were perceived as comprehensive and meticulous. Telehealth tools were seen as empowering, offering immediate and continuous access to symptom assessment at home. Patients reported a lack of specificity of the electronic questionnaires, impeding accurate responses. Patients requested a comments area to supplement questionnaire responses. Some patients reported receiving help to complete the blood collection. CONCLUSION: Patients' access to rheumatology care is becoming increasingly burdensome. Pre-assessment including student-led clinics and telemedicine was highly accepted by patients. Patient interviews provided valuable in-depth feedback to improve the piloted patient pathway.

Evaluation of a hybrid telehealth care pathway for patients with axial spondyloarthritis including self-sampling at home: results of a longitudinal proof-of-concept mixed-methods study (TeleSpactive).

Patients with axial spondyloarthritis (axSpA) require close monitoring to achieve the goal of sustained disease remission. Telehealth can facilitate continuous care while relieving scarce healthcare resources. In a mixed-methods proof-of-concept study, we investigated a hybrid telehealth care axSpA pathway in patients with stable disease over 6 months. Patients used a medical app to document disease activity (BASDAI and PtGA bi-weekly, flare questionnaire weekly). To enable a remote ASDAS-CRP (TELE-ASDAS-CRP), patients used a capillary self-sampling device at home. Monitoring results were discussed and a decision was reached via shared decision-making whether a pre-planned 3-month on-site appointment (T3) was necessary. Ten patients completed the study, and eight patients also completed additional telephone interviews. Questionnaire adherence was high; BASDAI (82.3%), flares (74.8%) and all patients successfully completed the TELE-ASDAS-CRP for the T3 evaluation. At T3, 9/10 patients were in remission or low disease activity and all patients declined the offer of an optional T3 on-site appointment. Patient acceptance of all study components was high with a net promoter score (NPS) of +50% (mean NPS 8.8 ± 1.5) for self-sampling, +70% (mean NPS 9.0 ± 1.6) for the electronic questionnaires and +90% for the T3 teleconsultation (mean NPS 9.7 ± 0.6). In interviews, patients reported benefits such as a better overview of their condition, ease of use of telehealth tools, greater autonomy, and, most importantly, travel time savings. To our knowledge, this is the first study to investigate a hybrid approach to follow-up axSpA patients including self-sampling. The positive results observed in this scalable proof-of-concept study warrant a larger confirmatory study.

Evolution of publicly available large language models for complex decision-making in breast cancer care.

PURPOSE: This study investigated the concordance of five different publicly available Large Language Models (LLM) with the recommendations of a multidisciplinary tumor board regarding treatment recommendations for complex breast cancer patient profiles. METHODS: Five LLM, including three versions of ChatGPT (version 4 and 3.5, with data access until September 3021 and January 2022), Llama2, and Bard were prompted to produce treatment recommendations for 20 complex breast cancer patient profiles. LLM recommendations were compared to the recommendations of a multidisciplinary tumor board (gold standard), including surgical, endocrine and systemic treatment, radiotherapy, and genetic testing therapy options. RESULTS: GPT4 demonstrated the highest concordance (70.6%) for invasive breast cancer patient profiles, followed by GPT3.5 September 2021 (58.8%), GPT3.5 January 2022 (41.2%), Llama2 (35.3%) and Bard (23.5%). Including precancerous lesions of ductal carcinoma in situ, the identical ranking was reached with lower overall concordance for each LLM (GPT4 60.0%, GPT3.5 September 2021 50.0%, GPT3.5 January 2022 35.0%, Llama2 30.0%, Bard 20.0%). GPT4 achieved full concordance (100%) for radiotherapy. Lowest alignment was reached in recommending genetic testing, demonstrating a varying concordance (55.0% for GPT3.5 January 2022, Llama2 and Bard up to 85.0% for GPT4). CONCLUSION: This early feasibility study is the first to compare different LLM in breast cancer care with regard to changes in accuracy over time, i.e., with access to more data or through technological upgrades. Methodological advancement, i.e., the optimization of prompting techniques, and technological development, i.e., enabling data input control and secure data processing, are necessary in the preparation of large-scale and multicenter studies to provide evidence on their safe and reliable clinical application. At present, safe and evidenced use of LLM in clinical breast cancer care is not yet feasible.

Digital Approaches for Myositis.

PURPOSE OF REVIEW: This article serves as a comprehensive review, focusing on digital approaches utilized in the diagnosis, monitoring, and treatment of patients with idiopathic inflammatory myopathies (IIM). The authors critically assess the literature published in the last three years, evaluating the advancements and progress achieved in this specific domain. RECENT FINDINGS: Remarkable strides have been made in the realm of digital diagnostic support, particularly in image analysis and clinical prediction models, showing promise in aiding the diagnosis of IIM. The field of remote patient monitoring has also witnessed significant advancements, revolutionizing the care process by offering more convenient, data-driven, and continuous monitoring for IIM patients. Various digital tools, such as wearables, video- and voice consultations, and electronic patient-reported outcomes, have been extensively explored and implemented to enhance patient care. Survey studies consistently reveal a high acceptance of telehealth services among patients. Additionally, internet-based studies have facilitated the efficient and rapid recruitment of IIM patients for research purposes. Moreover, the integration of sensors and exoskeletons has shown great potential in significantly improving the functionality and quality of life for individuals with muscle weakness caused by IIM. The integration of digital health solutions in the care of IIM patients is steadily gaining attention and exploration. Although the existing evidence is limited, it does indicate that patients can be adequately and safely supported through digital means throughout their entire healthcare journey. The growing interest in digital health technologies holds the promise of improving the overall management and outcomes for individuals with idiopathic inflammatory myopathies.

Student-led clinics and ePROs to accelerate diagnosis and treatment of patients with axial spondyloarthritis: results from a prospective pilot study.

We aimed to investigate (1) student-led clinics and (2) electronic patient-reported outcomes (ePROs) to accelerate diagnosis and treatment of patients with axial spondyloarthritis (axSpA). Patients with suspected axSpA completed an initial student-led clinic visit (T-1) prior to their planned actual rheumatologist visit (T0). Acceleration of patient appointment and NSAID therapy start, availability of diagnostic findings, and treatment response at T0 were evaluated. Beginning at T-1, patients completed electronic BASDAI questionnaires every 2 weeks. Concordance of paper-based and electronic BASDAI was evaluated. Patient acceptance of ePRO reporting and student-led clinics was measured using the net promoter score (NPS). 17/36 (47.2%) included patients were diagnosed with axSpA. Student-led clinics (T-1) significantly accelerated patient appointments by more than 2 months (T0, T-1, p < 0.0001) and axSpA guideline-conform NSAID treatment (p < 0.0001). At T0, diagnostic workup was completed for all patients and 7/17 (41.2%) axSpA patients presented with a clinically important improvement or were in remission. 34/36 (94.4%) patients completed at least 80% of the ePROs between T-1 and T0. Electronic and paper-administered BASDAI correlated well (r = 0.8 p < 0.0001). Student-led clinics and ePROs were well accepted by patients with NPS scores of + 62.0% (mean ± SD 9.2/10.0 ± 0.9) and + 30.5% (mean ± SD 8.0/10.0 ± 1.7), respectively. In conclusion, student-led clinics and ePRO monitoring were well accepted, accelerated diagnostic workup and treatment in patients with axSpA.

Barriers to Video Call-Based Telehealth in Allied Health Professions and Nursing: Scoping Review and Mapping Process.

BACKGROUND: Telehealth interventions have become increasingly important in health care provision, particularly during the COVID-19 pandemic. Video calls have emerged as a popular and effective method for delivering telehealth services; however, barriers limit the adoption among allied health professionals and nurses. OBJECTIVE: This review aimed to identify and map the perceived barriers to the use of video call-based telehealth interventions among allied health professionals and nurses. METHODS: A comprehensive literature search was conducted in the PubMed and CINAHL databases on June 22, 2022, and updated on January 3, 2023, following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. Only original studies published in English or German since June 2017 that reported barriers to the use of video call-based telehealth interventions were eligible for inclusion. The studies had to involve interviews, focus groups, or questionnaires with physical therapists, occupational therapists, speech and language therapists, audiologists, orthoptists, dieticians, midwives, or nurses. Each publication was coded for basic characteristics, including country, health profession, and target group. Inductive coding was used to identify the patterns, themes, and categories in the data. Individual codings were analyzed and summarized narratively, with similarities and differences in barriers identified across health professions and target groups. RESULTS: A total of 56 publications were included in the review, with barriers identified and categorized into 8 main categories and 23 subcategories. The studies were conducted in various countries, predominantly the United States, Australia, the United Kingdom, Canada, Israel, and India. Questionnaires were the most commonly used evaluation method, with 10,245 health professionals involved. Interviews or focus groups were conducted with 288 health professionals. Most of the included publications focused on specific health care professions, with the highest number addressing barriers for physical therapists, speech and language therapists, and audiologists. The barriers were related to technology issues, practice issues, patient issues, environmental issues, attributions, interpersonal issues, policies and regulations, and administration issues. The most reported barriers included the lack of hands-on experience, unreliable network connection, the lack of technology access, diminished fidelity of observations and poor conditions for visual instructions, the lack of technology skills, and diminished client-practitioner interaction and communication. CONCLUSIONS: This review identified key barriers to video call-based telehealth use by allied health professionals and nurses, which can foster the development of stable infrastructure, education, training, guidelines, policies, and support systems to improve telehealth services. Further research is necessary to identify potential solutions to the identified barriers.

Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study.

BACKGROUND: Rapid digitalization in health care has led to the adoption of digital technologies; however, limited trust in internet-based health decisions and the need for technical personnel hinder the use of smartphones and machine learning applications. To address this, automated machine learning (AutoML) is a promising tool that can empower health care professionals to enhance the effectiveness of mobile health apps. OBJECTIVE: We used AutoML to analyze data from clinical studies involving patients with chronic hand and/or foot eczema or psoriasis vulgaris who used a smartphone monitoring app. The analysis focused on itching, pain, Dermatology Life Quality Index (DLQI) development, and app use. METHODS: After extensive data set preparation, which consisted of combining 3 primary data sets by extracting common features and by computing new features, a new pseudonymized secondary data set with a total of 368 patients was created. Next, multiple machine learning classification models were built during AutoML processing, with the most accurate models ultimately selected for further data set analysis. RESULTS: Itching development for 6 months was accurately modeled using the light gradient boosted trees classifier model (log loss: 0.9302 for validation, 1.0193 for cross-validation, and 0.9167 for holdout). Pain development for 6 months was assessed using the random forest classifier model (log loss: 1.1799 for validation, 1.1561 for cross-validation, and 1.0976 for holdout). Then, the random forest classifier model (log loss: 1.3670 for validation, 1.4354 for cross-validation, and 1.3974 for holdout) was used again to estimate the DLQI development for 6 months. Finally, app use was analyzed using an elastic net blender model (area under the curve: 0.6567 for validation, 0.6207 for cross-validation, and 0.7232 for holdout). Influential feature correlations were identified, including BMI, age, disease activity, DLQI, and Hospital Anxiety and Depression Scale-Anxiety scores at follow-up. App use increased with BMI >35, was less common in patients aged >47 years and those aged 23 to 31 years, and was more common in those with higher disease activity. A Hospital Anxiety and Depression Scale-Anxiety score >8 had a slightly positive effect on app use. CONCLUSIONS: This study provides valuable insights into the relationship between data characteristics and targeted outcomes in patients with chronic eczema or psoriasis, highlighting the potential of smartphone and AutoML techniques in improving chronic disease management and patient care.

Does participation in the European Trauma Course lead to new behaviours and organisational change? A Portuguese experience.

BACKGROUND: Medical educational courses can be successful from an immediate feedback perspective but not lead to new behaviour or organisational changes in the workplace. The aim of this study was to assess the self-perceived impact of the European Trauma Course (ETC) on Reanima trainees' behaviour and organisational change. METHODS: A 40-item questionnaire based on Holton's evaluation model was used to evaluate the candidate's perceptions. The results were analysed with descriptive and inferential statistical analysis using nonparametric tests with α = 0.05. RESULTS: Out of 295 participants, 126 responded to the survey. Of these, 94% affirmed that the ETC modified their approach to trauma patients, and 71.4% described a change in their behaviour. Postcourse responders changed their behaviour in their initial approach to trauma care in the nontechnical skills of communication, prioritisation and teamwork. Being an ETC instructor strongly influenced the acquisition of new material, and this group was able to implement changes in attitudes. Individuals with no previous trauma course experience identified lack of self-efficacy as a significant obstacle to introducing new work-based learning. In contrast, responders with ATLS training noted a lack of ETC colleagues as the main impediment for moving from conceptualisation to experimentation in the workplace. CONCLUSIONS: Participation in the ETC led to behavioural changes in the workplace. However, the ability to influence others and bring about wider organisational changes was more difficult to achieve. Major factors were the status of the person, their experience and self-efficacy. National organisational impact was obtained, which went far beyond our aspirations in acknowledging change in individual daily practice. Future research studies will include the effect of implementing the ETC methodology on the outcome of trauma patients.

A scoping review of mHealth monitoring of pediatric bronchial asthma before and during COVID-19 pandemic.

Mobile (m) Health technology is well-suited for Remote Patient Monitoring (RPM) in a patient's habitual environment. In recent years there have been fast-paced developments in mHealth-enabled pediatric RPM, especially during the COVID-19 pandemic, necessitating evidence synthesis. To this end, we conducted a scoping review of clinical trials that had utilized mHealth-enabled RPM of pediatric asthma. MEDLINE, Embase and Web of Science were searched from September 1, 2016 through August 31, 2021. Our scoping review identified 25 publications that utilized synchronous and asynchronous mHealth-enabled RPM in pediatric asthma, either involving mobile applications or via individual devices. The last three years has seen the development of evidence-based, multidisciplinary, and participatory mHealth interventions. The quality of the studies has been improving, such that 40% of included study reports were randomized controlled trials. In conclusion, there exists high-quality evidence on mHealth-enabled RPM in pediatric asthma, warranting future systematic reviews and/or meta-analyses of the benefits of such RPM.

Efficacy and safety of a mobile app intervention in patients with inflammatory arthritis: a prospective pilot study.

EULAR highlighted the essential role of digital health in increasing self-management and improving clinical outcomes in patients with arthritis. The objective of this study was to evaluate the efficacy and safety of the digital health application (DHA) in patients with inflammatory arthritis. We assessed demographic parameters, treatment regimen, disease activity, and other patient-reported outcomes at baseline and after 4 weeks of DHA use added to standard care treatment. Of 17 patients, who completed the study, 7 (41.2%) patients were male, ranging from 19 to 63 (40.5 ± 12.2) years. No significant change in antirheumatic treatment was observed during the study. Statistically significant improvements (p < 0.05) were noted for health-related quality of life (increase in Physical Component Summary of Short Form-36 (SF-36) by 23.6%) and disease activity (decrease of Clinical Disease Activity Index and Simple Disease Activity Index by 38.4% and 39.9%, respectively). Clinically significant improvement was demonstrated for SF-36 Total Score (+ 14.4%), disease activity (Rheumatoid Arthritis Disease Activity Index- 5 to 15.9%), and depression (Patient Health Questionnaire- 9 to 13.5%). None of the efficacy parameters showed negative trends. No adverse events were reported throughout the study. The usability level was high i.e., the mean mHealth Application Usability Questionnaire Score of 5.96 (max.: 7.0) demonstrated a high level of application usability. This suggests that using a personalized disease management program based on DHA significantly improves several measures of patient-reported outcomes and disease activity in patients with inflammatory arthritis in a timely manner. These findings highlight the potential of complementary digital therapy in patients with inflammatory arthritis.

Comparison of physician and artificial intelligence-based symptom checker diagnostic accuracy.

Symptom checkers are increasingly used to assess new symptoms and navigate the health care system. The aim of this study was to compare the accuracy of an artificial intelligence (AI)-based symptom checker (Ada) and physicians regarding the presence/absence of an inflammatory rheumatic disease (IRD). In this survey study, German-speaking physicians with prior rheumatology working experience were asked to determine IRD presence/absence and suggest diagnoses for 20 different real-world patient vignettes, which included only basic health and symptom-related medical history. IRD detection rate and suggested diagnoses of participants and Ada were compared to the gold standard, the final rheumatologists' diagnosis, reported on the discharge summary report. A total of 132 vignettes were completed by 33 physicians (mean rheumatology working experience 8.8 (SD 7.1) years). Ada's diagnostic accuracy (IRD) was significantly higher compared to physicians (70 vs 54%, p = 0.002) according to top diagnosis. Ada listed the correct diagnosis more often compared to physicians (54 vs 32%, p < 0.001) as top diagnosis as well as among the top 3 diagnoses (59 vs 42%, p < 0.001). Work experience was not related to suggesting the correct diagnosis or IRD status. Confined to basic health and symptom-related medical history, the diagnostic accuracy of physicians was lower compared to an AI-based symptom checker. These results highlight the potential of using symptom checkers early during the patient journey and importance of access to complete and sufficient patient information to establish a correct diagnosis.

[Mobile health for detection of atrial fibrillation-Status quo and perspectives]. / Mobile Health zur Detektion von Vorhofflimmern ­ Status quo und Perspektiven.

Mobile health (mHealth) for the detection of atrial fibrillation is an innovative domestic monitoring of the heart rhythm. The use of mHealth in the context of atrial fibrillation increases the availability of diagnostic technologies and facilitates the integration into telemedical treatment concepts as well as the active participation of patients in the treatment process. The detection of atrial fibrillation with mHealth applications is usually based on electrocardiography (ECG) or by detection of the pulse wave using photoplethysmography (PPG). Some applications require additional sensors, others make use of sensors integrated into smartphones or smartwatches. A high diagnostic accuracy for the detection of atrial fibrillation has been shown for most mHealth applications regardless of the underlying technology (analytical validation); however, the evidence on positive care effects and improvement of medical endpoints (clinical validation) is so far scarce. Screening of symptomatic or asymptomatic patients and the follow-up care after antiarrhythmic measures are possibilities for the integration into the reality of care. The preventive detection of atrial fibrillation is an attractive field of application for mHealth with great potential for the future. Nevertheless, at present mHealth is only integrated to a limited extent into the reality of patient care. Adequate reimbursement and medical remuneration as well as opportunities to derive information and qualification are prerequisites in order to be able to guarantee a comprehensive implementation in the future. The Digital Health Care Act passed in 2019, regulates the reimbursement of digital healthcare applications but issues of primary preventive applications have not yet been included.

Tuning the network charge of biohybrid hydrogel matrices to modulate the release of SDF-1.

The delivery of chemotactic signaling molecules via customized biomaterials can effectively guide the migration of cells to improve the regeneration of damaged or diseased tissues. Here, we present a novel biohybrid hydrogel system containing two different sulfated glycosaminoglycans (sGAG)/sGAG derivatives, namely either a mixture of short heparin polymers (Hep-Mal) or structurally defined nona-sulfated tetrahyaluronans (9s-HA4-SH), to precisely control the release of charged signaling molecules. The polymer networks are described in terms of their negative charge, i.e. the anionic sulfate groups on the saccharides, using two parameters, the integral density of negative charge and the local charge distribution (clustering) within the network. The modulation of both parameters was shown to govern the release characteristics of the chemotactic signaling molecule SDF-1 and allows for seamless transitions between burst and sustained release conditions as well as the precise control over the total amount of delivered protein. The obtained hydrogels with well-adjusted release profiles effectively promote MSC migration in vitro and emerge as promising candidates for new treatment modalities in the context of bone repair and wound healing.

[Digitalization in curricular teaching: Experiences with the Freiburg ENT Learning Program]. / Digitalisierung in der curricularen Lehre: Erfahrungen mit dem Freiburger HNO-Lernprogramm.

BACKGROUND: The relevance of undergraduate Online Teaching increases - on one hand to diversify (ENT) teaching, on the other to continue medical training even in times of crisis like the SARS-CoV-2 pandemic. Therefore, at the university hospital of Freiburg we build and launched the ENT Learning Program, an online learning platform for medical students. OBJECTIVES: This study will give an insight into structure and functions of the learning program. Furthermore, its use and usefulness will be subjectively and objectively evaluated. MATERIALS AND METHODS: The ENT Learning Program is a web application, that can be used by any Internet-enabled device. ENT content is presented by text, images, video tutorials and interactive features like multiple-choice questions and feedback functions. To evaluate students' use and benefits of the program we first conducted a questionnaire survey with 116 medical students. To objectify the results, we then counted the actual visits to the program and carried out a randomised learning-control-study (n = 47). RESULTS: The learning program was used by 97 % of the interrogated students. Over 80 % said that the program improved their exam preparation, motivated them to study and enhanced their interest in ENT. In one year, we counted almost 90.000 visits to the website. Furthermore, the learning-control-study showed a significant better test outcome in students, who used the LP in addition. CONCLUSIONS: The ENT Learning Program is a promising tool in online teaching, that did not yet exist in Germany that way. Through academic collaborations it could be optimized further and integrated into ENT courses at other universities.

[Surgical Education in the Digital Age - Virtual Reality, Augmented Reality and Robotics in the Medical School]. / Chirurgische Ausbildung im digitalen Zeitalter ­ Virtual Reality, Augmented Reality und Robotik im Medizinstudium.

BACKGROUND: The digital transformation of healthcare is changing the medical profession. Augmented/Virtual Reality (AR/VR) and robotics are being increasingly used in different clinical contexts and require supporting education and training, which must begin within the medical school. There is currently a large discrepancy between the high demand and the number of scientifically proven concepts. The aim of this thesis was the conceptual design and structured evaluation of a newly developed learning/teaching concept for the digital transformation of medicine, with a special focus on the influence of surgical teaching. METHODS: Thirty-five students participated in three courses of the blended learning curriculum "Medicine in the digital age". The 4th module of this course deals with virtual reality, augmented reality and robotics in surgery. It is divided into the following course parts: (1) immersive surgery simulation of a laparoscopic cholecystectomy, (2) liver surgery planning using AR/VR, (3) basic skills on the VR simulator for robotic surgery, (4) collaborative surgery planning in virtual space and (5) expert discussion. After completing the overall curriculum, a qualitative and quantitative evaluation of the course concept was carried out by means of semi-structured interviews and standardised pre-/post-evaluation questionnaires. RESULTS: In the qualitative evaluation procedure of the interviews, 79 text statements were assigned to four main categories. The largest share (35%) was taken up by statements on the "expert discussion", which the students consider to be an elementary part of the course concept. In addition, the students perceived the course as a horizon-widening "learning experience" (29% of the statements) with high "practical relevance" (27%). The quantitative student evaluation shows a positive development in the three sub-competences knowledge, skills and attitude. CONCLUSION: Surgical teaching can be profitably used to develop digital skills. The speed of the change process of digital transformation in the surgical specialty must be considered. Curricular adaptation should be anchored in the course concept.

[Symptoms of Adjustment Disorder after an accidental injury: risk and protective factors]. / Symptome einer Anpassungsstörung nach einer Unfallverletzung: Risiko- und Schutzfaktoren.

Symptoms of Adjustment Disorder after an accidental injury: risk and protective factors Objectives: The identification of protective and risk factors for symptoms of adjustment disorder (AD) after an accident injury. Methods: In this prospective long-term study, data from 73 patients with ankle and lower leg fractures were analyzed. Symptoms of AD were assessed at enrollment (T0), 1 month (T1) and 12 months (T2) after injury. In addition, questionnaires regarding adverse childhood experiences, coping strategies and the number of stressors during the last year were obtained. The Structured Clinical Interview for DSM-IV (SCID) was conducted at T1 and T2. Results: 4.1 % of patients met the criteria for AD at T1 and 2.7 % at T2. Acceptance coping predicted a lower level of AD symptoms 1 year after the injury (ß = -.42, p <.001). Conclusions: It could be confirmed that the selection of coping strategies predicts the level of AD symptoms 12 months after the injury. The results show that acceptance is a protective factor for AD and contribute to a better understanding of a little-researched diagnosis.

[Psychological factors following ankle fractures : A review article]. / Psychische Faktoren bei Sprunggelenkfrakturen : Ein Übersichtsartikel.

Ankle fractures have many short and long-term consequences for patients. For this reason, psychosocial factors also play a role in the success of the treatment in addition to the surgical treatment. The aim of this article is to give an overview of the psychological aspects in the context of fractures as well as explanatory models for the different ways of coping. In addition, an overview of the empirical data with respect to psychological influences and outcome factors in lower extremity fractures, specifically ankle fractures, is given. The current research indicates that psychosocial factors have a decisive influence on the physical and psychological outcome.

[Digital learning and teaching in medical education : Already there or still at the beginning?] / Digitale Lehr- und Lernangebote in der medizinischen Ausbildung : Schon am Ziel oder noch am Anfang?

The current choice of digital teaching and learning formats in medicine is very heterogeneous. In addition to the widely used classical static formats, social communication tools, audio/video-based media, interactive formats, and electronic testing systems enrich the learning environment.For medical students, the private use of digital media is not necessarily linked to their meaningful use in the study. Many gain their experience of digital learning in the sense of "assessment drives learning", especially by taking online exams in a passive, consuming role. About half of all medical students can be referred to as "e-examinees" whose handling of digital learning is primarily focused on online exam preparation. Essentially, they do not actively influence their digital environment. Only a quarter can be identified as a "digital all-rounder", who compiles their individual learning portfolio from the broad range of digital media.At present, the use of digital media is not yet an integral and comprehensive component of the teaching framework of medical studies in Germany, but is rather used in the sense of a punctual teaching enrichment. Current trends in digital teaching and learning offerings are mobile, interactive, and personalized platforms as well as increasing the relevance of learning platforms. Furthermore, didactical concepts targeting the changed learning habits of the students are more successful regarding the acceptance and learning outcomes. In addition, digitalization is currently gaining importance as a component in the medical school curricula.

European Multicenter Study on Analytical Performance of DxN Veris System HCV Assay.

The analytical performance of the Veris HCV Assay for use on the new and fully automated Beckman Coulter DxN Veris Molecular Diagnostics System (DxN Veris System) was evaluated at 10 European virology laboratories. Precision, analytical sensitivity, specificity, and performance with negative samples, linearity, and performance with hepatitis C virus (HCV) genotypes were evaluated. Precision for all sites showed a standard deviation (SD) of 0.22 log10 IU/ml or lower for each level tested. Analytical sensitivity determined by probit analysis was between 6.2 and 9.0 IU/ml. Specificity on 94 unique patient samples was 100%, and performance with 1,089 negative samples demonstrated 100% not-detected results. Linearity using patient samples was shown from 1.34 to 6.94 log10 IU/ml. The assay demonstrated linearity upon dilution with all HCV genotypes. The Veris HCV Assay demonstrated an analytical performance comparable to that of currently marketed HCV assays when tested across multiple European sites.

Bacterial aminoacyl phospholipids - Biosynthesis and role in basic cellular processes and pathogenicity.

The bacterial cell membrane accomplishes the controlled exchange of molecules with the extracellular space and mediates specific interactions with the environment. However, the cytoplasmic membrane also includes vulnerable targets for antimicrobial agents. A common feature of cationic antimicrobial peptides (CAMPs) produced by other bacteria or by the host immune system is to utilize the negative charge of bacterial phospholipids such as phosphatidylglycerol (PG) or cardiolipin (CL) for initial adherence and subsequent penetration into the membrane bilayer. To resist cationic antimicrobials many bacteria integrate positive charges into the membrane surface. This is accomplished by aminoacylation of negatively charged (PG) or (CL) with alanine, arginine, or lysine residues. The Multiple Peptide Resistance Factor (MprF) of Staphylococcus aureus is the prototype of a highly conserved protein family of aminoacyl phosphatidylglycerol synthases (aaPGSs) which modify PG or CL with amino acids. MprF is an oligomerizing membrane protein responsible for both, synthesis of lysyl phosphatidylglycerol (LysPG) in the inner leaflet of the cytoplasmic membrane and translocation of LysPG to the outer leaflet. This review focuses on occurrence, synthesis and function of bacterial aminoacyl phospholipids (aaPLs) and on the role of such lipids in basic cellular processes and pathogenicity. This article is part of a Special Issue entitled: Bacterial Lipids edited by Russell E. Bishop.