Objectives: The German Incentives for Physical Activity in Cardiac Patients trial is a three-arm, randomised controlled trial for secondary prevention of coronary heart disease (CHD). Guidance for developing complex interventions recommends pre-trial health economic modelling. The aim of this study is to model the long-term cost-effectiveness of the incentive-based physical activity interventions in a population with CHD. Methods: A decision-analytical Markov model was developed from a health services provider perspective, following a cohort aged 65 years with a previous myocardial infarction for 25 years. Monetary and social incentives were compared relative to no incentive. Intervention effects associated with physical activity were used to determine the costs, quality-adjusted life-years (QALYs) gained, incremental cost-effectiveness and cost-utility ratios. The probability of cost-effectiveness was calculated through sensitivity analyses. Results: The incremental QALYs gained from the monetary and social incentives, relative to control, were respectively estimated at 0.01 (95% CI 0.00 to 0.01) and 0.04 (95% CI 0.02 to 0.05). Implementation of the monetary and social incentive interventions increased the costs by 874 (95% CI 744 to 1047) and 909 (95% CI 537 to 1625). Incremental cost-utility ratios were 25 912 (95% CI 15 056 to 50 210) and 118 958 (95% CI 82 930 to 196 121) per QALY gained for the social and monetary incentive intervention, respectively. With a willingness-to-pay threshold set at 43 000/QALY, equivalent to the per-capita gross domestic product in Germany, the probability that the social and monetary incentive intervention would be seen as cost-effective was 95% and 0%, respectively. Conclusions: Exercise-based secondary prevention using inventive schemes may offer a cost-effective strategy to reduce the burden of CHD.
Sustainability is an important topic in the field of materials science and civil engineering. In particular, concrete, as a building material, needs to be of high quality to ensure its durability. Damage and failure processes such as cracks in concrete can be evaluated non-destructively by micro-computed tomography. Cracks can be detected in the images, for example via edge-detection filters or machine learning models. To study the goodness, robustness, and generalizability of these methods, annotated 3d image data are of fundamental importance. However, data acquisition and, in particular, its annotation is often tedious and error-prone. To overcome data shortage, realistic data can be synthesized. The data set described in this article addresses the lack of freely available annotated 3d images of cracked concrete. To this end, seven concrete samples without cracks were scanned via micro-computed tomography. Realizations of a dedicated stochastic geometry model are discretized to binary images and morphologically transformed to mimic real crack structures. These are superimposed on the concrete images and simultaneously yield the label images that distinguish crack from non-crack regions. The data set contains 1 344 of such image pairs and includes a large variety of crack structures. The data set may be used for training machine learning models and for objectively testing crack segmentation methods.
Very old critically ill patients pose a growing challenge for intensive care. Critical illness and the burden of treatment in the intensive care unit (ICU) can lead to a long-lasting decline of functional and cognitive abilities, especially in very old patients. Multi-complexity and increased vulnerability to stress in these patients may lead to new and worsening disabilities, requiring careful assessment, prevention and rehabilitation. The potential for rehabilitation, which is crucial for optimal functional outcomes, requires a systematic, multi-disciplinary approach and careful long-term planning during and following ICU care. We describe this process and provide recommendations and checklists for comprehensive and timely assessments in the context of transitioning patients from ICU to post-ICU and acute hospital care, and review the barriers to the provision of good functional outcomes.
In Germany, physicians qualify for emergency medicine by combining a specialty medical training-e.g. internal medicine-with advanced training in emergency medicine according to the statutes of the State Chambers of Physicians largely based upon the Guideline Regulations on Specialty Training of the German Medical Association. Internal medicine and their associated subspecialities represent an important column of emergency medicine. For the internal medicine aspects of emergency medicine, this curriculum presents an overview of knowledge, skills (competence levels I-III) as well as behaviours and attitudes allowing for the best treatment of patients. These include general aspects (structure and process quality, primary diagnostics and therapy as well as indication for subsequent treatment; resuscitation room management; diagnostics and monitoring; general therapeutic measures; hygiene measures; and pharmacotherapy) and also specific aspects concerning angiology, endocrinology, diabetology and metabolism, gastroenterology, geriatric medicine, hematology and oncology, infectiology, cardiology, nephrology, palliative care, pneumology, rheumatology and toxicology. Publications focussing on contents of advanced training are quoted in order to support this concept. The curriculum has primarily been written for internists for their advanced emergency training, but it may generally show practising emergency physicians the broad spectrum of internal medicine diseases or comorbidities presented by patients attending the emergency department.
Curriculum , Emergency Medicine , Emergency Service, Hospital , Internal Medicine , Internal Medicine/education , Humans , Germany , Emergency Medicine/education , Clinical Competence , Education, Medical, Graduate
Background: Understanding complex cardiac anatomy is essential for percutaneous left atrial appendage (LAA) closure. Conventional multi-slice computed tomography (MSCT) and transesophageal echocardiography (TEE) are now supported by advanced 3D printing and virtual reality (VR) techniques for three-dimensional visualization of volumetric data sets. This study aimed to investigate their added value for LAA closure procedures. Methods: Ten patients scheduled for interventional LAA closure were evaluated with MSCT and TEE. Patient-specific 3D printings and VR models were fabricated based on MSCT data. Ten cardiologists then comparatively assessed LAA anatomy and its procedure relevant surrounding structures with all four imaging modalities and rated their procedural utility on a 5-point Likert scale questionnaire (from 1 = strongly agree to 5 = strongly disagree). Results: Device sizing was rated highest in MSCT (MSCT: 1.9 ± 0.8; TEE: 2.6 ± 0.9; 3D printing: 2.5 ± 1.0; VR: 2.5 ± 1.1; p < 0.01); TEE, VR, and 3D printing were superior in the visualization of the Fossa ovalis compared to MSCT (MSCT: 3.3 ± 1.4; TEE: 2.2 ± 1.3; 3D printing: 2.2 ± 1.4; VR: 1.9 ± 1.3; all p < 0.01). The major strength of VR and 3D printing techniques was a superior depth perception (VR: 1.6 ± 0.5; 3D printing: 1.8 ± 0.4; TEE: 2.9 ± 0.7; MSCT: 2.6 ± 0.8; p < 0.01). The visualization of extracardiac structures was rated less accurate in TEE than MSCT (TEE: 2.6 ± 0.9; MSCT: 1.9 ± 0.8, p < 0.01). However, 3D printing and VR insufficiently visualized extracardiac structures in the present study. Conclusion: A true 3D visualization in VR or 3D printing provides an additional value in the evaluation of the LAA for the planning of percutaneous closure. In particular, the superior perception of depth was seen as a strength of a 3D visualization. This may contribute to a better overall understanding of the anatomy. Clinical studies are needed to evaluate whether a more comprehensive understanding through advanced multimodal imaging of patient-specific anatomy using VR may translate into improved procedural outcomes.
IMPORTANCE: Cardiopulmonary resuscitation (CPR) is an exceptional physical situation and may lead to significant psychological, spiritual, and social distress in patients and their next of kin. Furthermore, clinicians might experience distress related to a CPR event. Specialist palliative care (sPC) integration could address these aspects but is not part of routine care. OBJECTIVES: This study aimed to explore perspectives on sPC integration during and after CPR. A needs assessment for sPC, possible triggers indicating need, and implementation strategies were addressed. DESIGN SETTING AND PARTICIPANTS: A multiprofessional qualitative semistructured focus group study was conducted in a German urban academic teaching hospital. Participants were clinicians (nursing staff, residents, and consultants) working in the emergency department and ICUs (internal medicine and surgical). ANALYSIS: The focus groups were recorded and subsequently transcribed. Data material was analyzed using the content-structuring content analysis according to Kuckartz. RESULTS: Seven focus groups with 18 participants in total were conducted online from July to November 2022. Six main categories (two to five subcategories) were identified: understanding (of palliative care and death), general CPR conditions (e.g., team, debriefing, and strains), prognosis (e.g., preexisting situation, use of extracorporeal support), next of kin (e.g., communication, presence during CPR), treatment plan (patient will and decision-making), and implementation of sPC (e.g., timing, trigger factors). CONCLUSIONS: Perceptions about the need for sPC to support during and after CPR depend on roles, areas of practice, and individual understanding of sPC. Although some participants perceive CPR itself as a trigger for sPC, others define, for example, pre-CPR-existing multimorbidity or complex family dynamics as possible triggers. Suggestions for implementation are multifaceted, especially communication by sPC is emphasized. Specific challenges of extracorporeal CPR need to be explored further. Overall, the focus groups show that the topic is considered relevant, and studies on outcomes are warranted.
Gravitational changes between micro- and hypergravity cause several adaptations and alterations in the human body. Besides muscular atrophy and immune system impairment, effects on the circulatory system have been described, which can be associated with a wide range of blood biomarker changes. This study examined nine individuals (seven males, two females) during a parabolic flight campaign (PFC). Thirty-one parabolas were performed in one flight day, resulting in ~22 s of microgravity during each parabola. Each participant was subjected to a single flight day with a total of 31 parabolas, totaling 11 min of microgravity during one parabolic flight. Before and after (1 hour (h) and 24 h), the flights blood was sampled to examine potential gravity-induced changes of circulating plasma proteins. Proximity Extension Assay (PEA) offers a proteomic solution, enabling the simultaneous analysis of a wide variety of plasma proteins. From 2925 unique proteins analyzed, 251 (8.58%) proteins demonstrated a differential regulation between baseline, 1 h and 24 h post flight. Pathway analysis indicated that parabolic flights led to altered levels of proteins associated with vesicle organization and apoptosis up to 24 h post microgravity exposure. Varying gravity conditions are associated with poorly understood physiological changes, including stress responses and fluid shifts. We provide a publicly available library of gravity-modulated circulating protein levels illustrating numerous changes in cellular pathways relevant for inter-organ function and communication.
Due to the complex and variable anatomy of the left atrial appendage, percutaneous left atrial appendage closure (LAAC) can be challenging. In this study, we investigated the impact of fusion imaging (FI) on the LAAC learning curve of two interventionalists. The first interventionalist (IC 1) was initially trained without FI and continued his training with FI. The second interventionalist (IC 2) performed all procedures with FI. We compared the first 36 procedures without FI of IC 1 (group 1) with his next 36 interventions with FI (group 2). Furthermore, group 1 was compared to 36 procedures of IC 2 who directly started his training with FI (group 3). Group 1 demonstrated that the learning curve without FI has a flat course with weak correlations for fluoroscopy time, contrast volume, and procedure time, but not for dose area product. Group 2 with FI showed improvement with a steep course and strong correlations for all four parameters. In group 3, we also saw a steep progression with strong correlations. Furthermore, the mean measurements of the parameters in the groups with FI decreased significantly as an indicator of procedural efficacy. We demonstrated that FI may improve the learning curve of experienced and non-experienced ICs.
AIMS: To assess the potential for precision medicine in type 2 diabetes by quantifying the variability of body weight as response to pharmacological treatment and to identify predictors which could explain this variability. METHODS: We used randomized clinical trials (RCTs) comparing glucose-lowering drugs (including but not limited to sodium-glucose cotransporter-2 inhibitors, glucagon-like peptide-1 receptor agonists and thiazolidinediones) to placebo from four recent systematic reviews. RCTs reporting on body weight after treatment to allow for calculation of its logarithmic standard deviation (log[SD], i.e., treatment response heterogeneity) in verum (i.e., treatment) and placebo groups were included. Meta-regression analyses were performed with respect to variability of body weight after treatment and potential predictors. RESULTS: A total of 120 RCTs with a total of 43 663 participants were analysed. A slightly larger treatment response heterogeneity was shown in the verum groups, with a median log(SD) of 2.83 compared to 2.79 from placebo. After full adjustment in the meta-regression model, the difference in body weight log(SD) was -0.026 (95% confidence interval -0.044; 0.008), with greater variability in the placebo groups. Scatterplots did not show any slope divergence (i.e., interaction) between clinical predictors and the respective treatment (verum or placebo). CONCLUSIONS: We found no major treatment response heterogeneity in RCTs of glucose-lowering drugs for body weight reduction in type 2 diabetes. The precision medicine approach may thus be of limited value in this setting.
Diabetes Mellitus, Type 2 , Hypoglycemic Agents , Precision Medicine , Randomized Controlled Trials as Topic , Weight Loss , Diabetes Mellitus, Type 2/drug therapy , Humans , Precision Medicine/methods , Weight Loss/drug effects , Hypoglycemic Agents/therapeutic use , Sodium-Glucose Transporter 2 Inhibitors/therapeutic use , Regression Analysis , Male , Female , Treatment Outcome , Glucagon-Like Peptide-1 Receptor/agonists , Middle Aged , Thiazolidinediones/therapeutic use , Obesity/drug therapy
Freely available datasets have become an invaluable tool to propel data-driven research, especially in the field of critical care medicine. However, the number of datasets available is limited. This leads to the repeated reuse of datasets, inherently increasing the risk of selection bias. Additionally, the need arose to validate insights derived from one dataset with another. In 2023, the Salzburg Intensive Care database (SICdb) was introduced. SICdb offers insights in currently 27,386 intensive care admissions from 21,583 patients. It contains cases of general and surgical intensive care from all disciplines. Amongst others SICdb contains information about: diagnosis, therapies (including data on preceding surgeries), scoring, laboratory values, respiratory and vital signals, and configuration data. Data for SICdb (1.0.6) was collected at one single tertiary care institution of the Department of Anesthesiology and Intensive Care Medicine at the Salzburger Landesklinik (SALK) and Paracelsus Medical University (PMU) between 2013 and 2021. This article aims to elucidate on the characteristics of the dataset, the technical implementation, and provides analysis of its strengths and limitations.
Big Data , Critical Care , Humans , Data Management , Databases, Factual , Health Facilities
Aortic Valve Insufficiency , Aortic Valve Stenosis , Heart Valve Prosthesis Implantation , Heart Valve Prosthesis , Transcatheter Aortic Valve Replacement , Humans , Aortic Valve Insufficiency/diagnostic imaging , Aortic Valve Insufficiency/surgery , Aortic Valve/surgery , Treatment Outcome , Aortic Valve Stenosis/surgery , Prosthesis Design
BACKGROUND: Premorbid conditions influence the outcome of acutely ill adult patients aged 80 years and over who are admitted to the ICU. The aim of this study was to determine the influence of such premorbid conditions on 6 month survival. METHODS: Prospective cohort study in 242 ICUs from 22 countries including patients 80 years or above, admitted over a 6 months period to an ICU between May 2018 and May 2019. Only emergency (acute) ICU admissions in adult patients ≥ 80 years of age were eligible. Patients who were admitted after planned/elective surgery were excluded. We measured the Clinical Frailty Scale (CFS), the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE), disability with the Katz activities of daily living (ADL) score, comorbidities and a Polypharmacy Score (CPS). RESULTS: Overall, the VIP2 study included 3920 patients. During ICU stay 1191 patients died (30.9%), and another 436 patients (11.1%) died after ICU discharge but within the first 30 days of admission, and an additional 895 patients died hereafter but within the first 6 months after admission (22.8%). The 6 months mortality was 64%. The median CFS was 4 (IQR 3-6). Frailty (CFS ≥ 5) was present in 26.6%. Cognitive decline (IQCODE above 3.5) was found in 30.2%. The median IQCODE was 3.19. A Katz ADL of 4 or less was present in 27.7%. Patients who surviving > 6 months were slightly younger (median age survivors 84 with IQR 81-86) than patients dying within the first 6 months (median age 84, IQR 82-87, p = 0.013), were less frequently frail (CFS > 5 in 19% versus 34%, p < 0.01) and were less dependent based on their Katz activities of daily living measurement (median Katz score 6, IQR 5-6 versus 6 points, IQR 3-6, p < 0.01). CONCLUSIONS: We found that Clinical Frailty Scale, age, and SOFA at admission were independent prognostic factors for 6 month mortality after ICU admission in patients age 80 and above. Adding other geriatric syndromes and scores did not improve the model. This information can be used in shared-decision making. CLINICALTRIALS: gov: NCT03370692.
INTRODUCTION: Cases of major trauma in the very old (over 80 years) are increasingly common in the intensive care unit. Predicting outcome is challenging in this group of patients as chronological age is a poor marker of health and poor predictor of outcome. Increasingly, decisions are guided with the use of organ dysfunction scores of both the acute condition (e.g. Sequential Organ Failure Assessment (SOFA) score) and chronic health issues (e.g. clinical frailty scale, (CFS)). Recent work suggests that increased CFS is associated with a worse outcome in elderly major trauma patients. We aimed to test whether this association held true in the very old (over 80) or whether SOFA had a stronger association with 30-day outcome. METHODS: Data from the VIP-1 and VIP-2 studies for patients over 80 years old with major trauma admissions were merged. These participants were recruited from 20 countries across Europe. Baseline characteristics, level of care provided and outcome (ICU and 30-day mortality) were summarised. Uni- and multi- variable regression analysis were undertaken to determine associations between CFS and SOFA score in the first 24-hours, type of major trauma and outcomes. RESULTS: Of the 8062 acute patients recruited to the two VIP studies, 498 patients were admitted to intensive care because of major trauma. Median age was 84 years; median SOFA score was 6 (IQR 3,9) and median CFS was 3 (IQR 2,5). Survival to 30-days was 54%. Median and inter-quartile range of CFS was the same in survivors and non-survivors. In the logistic regression analysis, CFS was not associated with increased mortality. SOFA score (p<0.001) and trauma with head injury (p<0.01) were associated with increased mortality. CONCLUSIONS: Major trauma admissions in the very old are not uncommon and 30-day mortality is high. We found that CFS was not a helpful predictor of mortality. SOFA and trauma with head injury were associated with worse outcomes in this patient group.
