Sitting or Standing in VR: About Comfort, Conflicts, and Hazards

This article examines the choices between sitting and standing in virtual reality (VR) experiences, addressing conflicts, challenges, and opportunities. It explores issues such as the risk of motion sickness in stationary users and virtual rotations, the formation of mental models, consistent authoring, affordances, and the integration of embodied interfaces for enhanced interactions. Furthermore, it delves into the significance of multisensory integration and the impact of postural mismatches on immersion and acceptance in VR. Ultimately, the article underscores the importance of aligning postural choices and embodied interfaces with the goals of VR applications, be it for entertainment or simulation, to enhance user experiences.

More Arrows in the Quiver: Investigating the Use of Auxiliary Models to Localize In-View Components with Augmented Reality

The creation and management of content are among the main open issues for the spread of Augmented Reality. In Augmented Reality interfaces for procedural tasks, a key authoring strategy is chunking instructions and using optimized visual cues, i.e., tailored to the specific information to convey. Nevertheless, research works rarely present rationales behind their choice. This work aims to provide design guidelines for the localization of in-view and not occluded components, which is recurrent information in technical documentation. Previous studies revealed that the most suited visual cues to convey this information are auxiliary models, i.e., abstract shapes that highlight the space region where the component is located. Among them, 3D arrows are widely used, but they may produce ambiguity of information. Furthermore, from the literature, it is unclear how to design auxiliary model shapes and if they are affected by the component shapes. To fill this gap, we conducted two user studies. In the first study, we collected the preference of 45 users regarding the shape, color, and animation of auxiliary models for the localization of various component shapes. According to the results of this study, we defined guidelines for designing optimized auxiliary models based on the component shapes. In the second user study, we validated these guidelines by evaluating the performance (localization time and recognition accuracy) and user experience of 24 users. The results of this study allowed us to confirm that designing auxiliary models following our guidelines leads to a higher recognition accuracy and user experience than using 3D arrows.

The Geriatric Patient One Year After Trauma: Palliative Performance Scale Predicts Functional Outcomes

INTRODUCTION

Frailty in trauma has been found to predict poor outcomes after injury including additional in-hospital complications, mortality, and discharge to dependent care. These gross outcome measures are insufficient when discussing long-term recovery as they do not address what is important to patients including functional status and quality of life. The purpose of this study is to determine if the Palliative Performance Scale (PPS) predicts mortality and functional status one year after trauma in geriatric patients.

MATERIAL AND METHODS

Prospective observational study of trauma survivors, age ≥55 years. Patients were stratified by pre-injury PPS high (>70) or low (≤70). Outcomes were functional status at 1 year measured by Glasgow Outcome Scale Extended (GOSE), Euroqol-5D and SF-36. Adjusted relative risks (aRR) were obtained using modified Poisson regression.

RESULTS

Follow-up was achieved on 215/301 patients. Mortality was 30% in low PPS group vs 8% in the high PPS group (P<0.001). A greater percentage of patients in the high group had a good functional outcome at one year compared to patients in the low group (78% vs 30% p<0.001). The high PPS patients were more likely to have improvement of GOSE at 1 year from discharge compared to low group (66% vs 27% P<0.001). Low PPS independently predicted poor functional outcome (aRR, 2.64; 95% confidence interval, 1.79-3.89) and death at 1 year (aRR, 3.64; 95% confidence interval 1.68-7.92). An increased percentage of low PPS patients reported difficulty with mobility (91% vs 46% p<0.0001) and usual activities (82% vs 56% p=0.002). Both groups reported pain (65%) and anxiety/depression (47%).

CONCLUSION

Low pre-Injury PPS predicts mortality and poor functional outcomes one year after trauma. Low PPS patients were more likely to decline, rather than improve. Regardless of PPS, most patients have persistent pain, anxiety, and limitations in performing daily activities.

Immersive and desktop virtual reality in virtual fashion stores: a comparison between shopping experiences

With the high growth and prosperity of e-commerce, the retail industry needs to explore new technologies that improve digital shopping experiences. In the current technological scenario, Virtual Reality (VR) emerges as a tool and an opportunity for enhancing shopping activities, especially for the fashion industry. This study explores whether using Immersive Virtual Reality (IVR) technologies enhances the shopping experience in the fashion industry compared to Desktop Virtual Reality (DVR). A within-subject experiment was carried out involving a sample of 60 participants who completed a simulated shopping experience. In the first mode (DVR), a desktop computer setup was used to test the shopping experience using a mouse and keyboard for navigation. The second mode (IVR) exploited a Head-Mounted Display (HMD), and controllers, that allowed navigation while seated on a workstation to avoid sickness. Participants had to find a bag in the virtual shop and explore its features until they were ready to purchase it. Post-hoc measures of time duration of the shopping experience, hedonic and utilitarian values, user experience, and cognitive load were compared. Results showed that participants experienced higher hedonism and utilitarianism in the IVR shop compared to DVR. The cognitive load was comparable in both modes, while user experience was higher in IVR. In addition, the time duration of the shopping experience was higher in IVR, where users stayed immersed and enjoyed it for longer. This study has implications for fashion industry research, as the use of IVR can potentially lead to novel shopping patterns by enhancing the shopping experience.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10055-023-00806-y.

IEEE ISMAR 2022 Report: Toward Better Mixed Realities

On October 21, 2022, the 21st IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2022) was successfully completed in Singapore. ISMAR is the leading international conference in the fields of augmented reality, mixed reality, and virtual reality. This was the first time that ISMAR was held in Southeast Asia and the first time in hybrid mode. ISMAR 2022 achieved a historically high number of papers and attendees, witnessing the steady growth of the community and the scientific contributions. In this article, we report the key outcomes, impressions, research trends, and lessons learned from the conference.

What, How, and Why are Visual Assets Used in Industrial Augmented Reality? A Systematic Review and Classification in Maintenance, Assembly, and Training (From 1997 to 2019)

Industrial Augmented Reality (iAR) has demonstrated its advantages to communicate technical information in the fields of maintenance, assembly, and training. However, literature is scattered among different visual assets (i.e., AR visual user interface elements associated with a real scene). In this work, we present a systematic literature review of visual assets used in these industrial fields. We searched five databases, initially finding 1757 papers. Then, we selected 122 iAR papers from 1997 to 2019 and extracted 348 visual assets. We propose a classification for visual assets according to (i) what is displayed, (ii) how it conveys information (frame of reference, color coding, animation), and, (iii) why it is used. Our review shows that product models, text and auxiliary models are, in order, the most common, with each most often used to support operating, checking and locating tasks respectively. Other visual assets are scarcely used. Product and auxiliary models are commonly rendered world-fixed, color coding is not used as often as expected, while animations are limited to product and auxiliary model. This survey provides a snapshot of over 20 years of literature in iAR, useful to understand established practices to orientate in iAR interface design and to present future research directions.

Minimal AR: visual asset optimization for the authoring of augmented reality work instructions in manufacturing

This work investigates the possibility of using a novel "minimal AR" authoring approach to optimize the visual assets used in augmented reality (AR) interfaces to convey work instructions in manufacturing. In the literature, there are no widely supported guidelines for the optimal choice of visual assets (e.g., CAD models, drawings, and videos). Therefore, to avoid the risk of having AR technical documentation based only on the author's preference, our work proposes a novel authoring approach that enforces the minimal amount of information to accomplish a task. Minimal AR was tested through a simulated AR LEGO-based assembly task. The performance (completion time, mental workload, errors) of 40 users was evaluated with 4 combinations of visual assets in 4 tasks with an increasing amount of information needed. The main result is that visual assets with an excess of information do not significantly increase performance. Therefore, the location of a specified object should be "minimally" authored by an auxiliary model (e.g., a circle and an arrow). For identifying an object within a couple, color coding is preferred to using additional visual assets. If more than two objects must be identified, a drawing visual asset is also needed. Only when the orientation of a selected object must be conveyed, animated product models are required. These insights could be helpful for an optimal design of AR work instructions in a wide range of industrial fields.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s00170-021-08449-6.

Time is domain: factors affecting primary fascial closure after trauma and non-trauma damage control laparotomy (data from the EAST SLEEP-TIME multicenter registry)

PURPOSE

Damage control laparotomy (DCL) is used for both traumatic and non-traumatic indications. Failure to achieve primary fascial closure (PFC) in a timely fashion has been associated with complications including sepsis, fistula, and mortality. We sought to identify factors associated with time to PFC in a multicenter retrospective cohort.

METHODS

We reviewed retrospective data from 15 centers in the EAST SLEEP-TIME registry, including age, comorbidities (Charlson Comorbidity Index [CCI]), small and large bowel resection, bowel discontinuity, vascular procedures, retained packs, number of re-laparotomies, net fluid balance after 24 h, trauma, and time to first takeback in 12-h increments to identify key factors associated with time to PFC.

RESULTS

In total, 368 patients (71.2% trauma, of which 50.6% were penetrating, median ISS 25 [16, 34], with median Apache II score 15 [11, 22] in non-trauma) were in the cohort. Of these, 92.9% of patients achieved PFC at 60.8 ± 72.0 h after 1.6 ± 1.2 re-laparotomies. Each additional re-laparotomy reduced the odds of PFC by 91.5% (95%CI 88.2-93.9%, p < 0.001). Time to first re-laparotomy was highly significant (p < 0.001) in terms of odds of achieving PFC, with no difference between 12 and 24 h to first re-laparotomy (ref), and decreases in odds of PFC of 78.4% (65.8-86.4%, p < 0.001) for first re-laparotomy after 24.1-36 h, 90.8% (84.7-94.4%, p < 0.001) for 36.1-48 h, and 98.1% (96.4-99.0%, p < 0.001) for > 48 h. Trauma patients had increased likelihood of PFC in two separate analyses (p = 0.022 and 0.002).

CONCLUSION

Time to re-laparotomy ≤ 24 h and minimizing number of re-laparotomies are highly predictive of rapid achievement of PFC in patients after trauma- and non-trauma DCL.

LEVEL OF EVIDENCE

2B.

A multicenter evaluation of the accuracy of prehospital eFAST by a physician-staffed helicopter emergency medical service

PURPOSE

The purpose of this study is to report the relative accuracy of prehospital extended focused assessment with sonography in trauma (eFAST) examinations performed by HEMS physicians.

METHODS

Trauma patients who received prehospital eFAST by HEMS clinicians between January 2013 and December 2017 were reviewed. The clinician's interpretations of these ultrasounds were compared to gold standard references of CT imaging or operating room findings. The outcomes measured include the calculated accuracy of eFAST for detecting intraperitoneal free fluid (IPFF), pneumothorax, hemothorax, and pericardial fluid compared to available gold standard results.

RESULTS

Of the 411 patients with adequate data for comparison, the median age was 39.5 years with 73% male and 98% sustaining blunt force trauma. For the detection of IPFF, eFAST had a sensitivity of 25% (95% CI 16-36%) and specificity of 96% (95% CI 93-98%). Sensitivities and specificities were calculated for pneumothorax (38% and 96% respectively), hemothorax (17% and 97% respectively), and pericardial effusion (17% and 100% respectively). These results did not change significantly when reassessed with several sensitivity analyses.

CONCLUSION

Prehospital eFAST is reliable for detecting the presence of intraperitoneal free fluid. This finding should inform receiving trauma teams to prepare for early definitive care in these patients. The low sensitivities across all components of the eFAST highlight the importance of cautiously interpreting negative studies while prompting the need for further studies.

TRIAL REGISTRATION

ACTRN12618001973202 (Registered on 06/12/2018).

Nanoindentation of mesenchymal stem cells using atomic force microscopy: effect of adhesive cell-substrate structures

The procedure commonly adopted to characterize cell materials using atomic force microscopy neglects the stress state induced in the cell by the adhesion structures that anchor it to the substrate. In several studies, the cell is considered as made from a single material and no specific information is provided regarding the mechanical properties of subcellular components. Here we present an optimization algorithm to determine separately the material properties of subcellular components of mesenchymal stem cells subjected to nanoindentation measurements. We assess how these properties change if the adhesion structures at the cell-substrate interface are considered or not in the algorithm. In particular, among the adhesion structures, the focal adhesions and the stress fibers were simulated. We found that neglecting the adhesion structures leads to underestimate the cell mechanical properties thus making errors up to 15%. This result leads us to conclude that the action of adhesion structures should be taken into account in nanoindentation measurements especially for cells that include a large number of adhesions to the substrate.

Coarse-grained elastic network modelling: A fast and stable numerical tool to characterize mesenchymal stem cells subjected to AFM nanoindentation measurements

The knowledge of the mechanical properties is the starting point to study the mechanobiology of mesenchymal stem cells and to understand the relationships linking biophysical stimuli to the cellular differentiation process. In experimental biology, Atomic Force Microscopy (AFM) is a common technique for measuring these mechanical properties. In this paper we present an alternative approach for extracting common mechanical parameters, such as the Young's modulus of cell components, starting from AFM nanoindentation measurements conducted on human mesenchymal stem cells. In a virtual environment, a geometrical model of a stem cell was converted in a highly deformable Coarse-Grained Elastic Network Model (CG-ENM) to reproduce the real AFM experiment and retrieve the related force-indentation curve. An ad-hoc optimization algorithm perturbed the local stiffness values of the springs, subdivided in several functional regions, until the computed force-indentation curve replicated the experimental one. After this curve matching, the extraction of global Young's moduli was performed for different stem cell samples. The algorithm was capable to distinguish the material properties of different subcellular components such as the cell cortex and the cytoskeleton. The numerical results predicted with the elastic network model were then compared to those obtained from hertzian contact theory and Finite Element Method (FEM) for the same case studies, showing an optimal agreement and a highly reduced computational cost. The proposed simulation flow seems to be an accurate, fast and stable method for understanding the mechanical behavior of soft biological materials, even for subcellular levels of detail. Moreover, the elastic network modelling allows shortening the computational times to approximately 33% of the time required by a traditional FEM simulation performed using elements with size comparable to that of springs.

Changes in antidepressant medication use in the workplace and sustainable employability: a qualitative study of experiences, strategies and solutions

This study explores patients' experiences of how antidepressant medication transition events (ceasing, changing or reducing) affect employment and workplace functioning. An anonymous online survey was conducted with adults who had experienced antidepressant medication transition events (AMTEs). Data were analyzed using a hybrid inductive and deductive thematic analysis approach. While a majority of participants perceived many positive impacts of antidepressant medication on their workplace functioning, considerable negative effects during AMTEs were reported. Participants provided practical solutions to assist employers, policy and clinicians. Significant and detrimental impact of antidepressant medication changes occurred in the workplace. There is an urgent need to raise awareness of the vulnerability of people during AMTEs and to develop educational and supportive resources to assist clinicians and practitioners to support people during this vulnerable time.

A Body Tracking-Based Low-Cost Solution for Monitoring Workers' Hygiene Best Practices during Pandemics

Since its beginning at the end of 2019, the pandemic spread of the severe acute respiratory syndrome coronavirus 2 (Sars-CoV-2) caused more than one million deaths in only nine months. The threat of emerging and re-emerging infectious diseases exists as an imminent threat to human health. It is essential to implement adequate hygiene best practices to break the contagion chain and enhance society preparedness for such critical scenarios and understand the relevance of each disease transmission route. As the unconscious hand-face contact gesture constitutes a potential pathway of contagion, in this paper, the authors present a prototype system based on low-cost depth sensors able to monitor in real-time the attitude towards such a habit. The system records people's behavior to enhance their awareness by providing real-time warnings, providing for statistical reports for designing proper hygiene solutions, and better understanding the role of such route of contagion. A preliminary validation study measured an overall accuracy of 91%. A Cohen's Kappa equal to 0.876 supports rejecting the hypothesis that such accuracy is accidental. Low-cost body tracking technologies can effectively support monitoring compliance with hygiene best practices and training people in real-time. By collecting data and analyzing them with respect to people categories and contagion statistics, it could be possible to understand the importance of this contagion pathway and identify for which people category such a behavioral attitude constitutes a significant risk.

Pulmonary complications in trauma patients with obstructive sleep apnea undergoing pelvic or lower limb operation

Background

Obstructive sleep apnea (OSA) is increasingly prevalent in the range of 2% to 24% in the US population. OSA is a well-described predictor of pulmonary complications after elective operation. Yet, data are lacking on its effect after operations for trauma. We hypothesized that OSA is an independent predictor of pulmonary complications in patients undergoing operations for traumatic pelvic/lower limb injuries (PLLI).

Methods

Nationwide Inpatient Sample (2009–2013) was queried for International Classification of Diseases, Ninth Revision, Clinical Modification codes for PLLI requiring operation. Elective admissions and those with concurrent traumatic brain injury with moderate to prolonged loss of consciousness were excluded. Outcome measures were pulmonary complications including ventilatory support, ventilator-associated pneumonia, pulmonary embolism (PE), acute respiratory distress syndrome (ARDS), and respiratory failure. Multivariable logistic regression analysis was used, adjusting for OSA, age, sex, race/ethnicity, and specific comorbidities (obesity, chronic lung disease, and pulmonary circulatory disease). P<0.01 was considered statistically significant.

Results

Among the 337 333 patients undergoing PLLI operation 3.0% had diagnosed OSA. Patients with OSA had more comorbidities and were more frequently discharged to facilities. Median length of stay was longer in the OSA group (5 vs 4 days, p<0.001). Pulmonary complications were more frequent in those with OSA. Multivariable logistic regression showed that OSA was an independent predictor of ventilatory support (adjusted odds ratio (aOR), 1.37; 95% CI,1.24 to 1.51), PE (aOR 1.40; 95% CI, 1.15 to 1.70), ARDS (aOR 1.36; 95% CI,1.23 to 1.52), and respiratory failure (aOR 1.90; 95% CI, 1.74 to 2.06).

Conclusion

OSA is an independent and underappreciated predictor of pulmonary complications in those undergoing emergency surgery for PLLI. More aggressive screening and identification of OSA in trauma patients undergoing operation are necessary to provide closer perioperative monitoring and interventions to reduce pulmonary complications and improve outcomes.

Level of evidence

Prognostic Level IV.

The Palliative Performance Scale predicts mortality in hospitalized patients with COVID-19

BACKGROUND

Coronavirus disease 2019 (COVID-19) has a substantial mortality risk with increased rates in the elderly. We hypothesized that age is not sufficient, and that frailty measured by preadmission Palliative Performance Scale would be a predictor of outcomes. Improved ability to identify high-risk patients will improve clinicians' ability to provide appropriate palliative care, including engaging in shared decision-making about life-sustaining therapies.

AIM

To evaluate whether preadmission Palliative Performance Scale predicts mortality in hospitalized patients with COVID-19.

DESIGN

Retrospective observational cohort study of patients admitted with COVID-19. Palliative Performance Scale was calculated from the chart. Using logistic regression, Palliative Performance Scale was assessed as a predictor of mortality controlling for demographics, comorbidities, palliative care measures and socioeconomic status.

SETTING/PARTICIPANTS

Patients older than 18 years of age admitted with COVID-19 to a single urban public hospital in New Jersey, USA.

RESULTS

Of 443 admitted patients, we determined the Palliative Performance Scale score for 374. Overall mortality was 31% and 81% in intubated patients. In all, 36% (134) of patients had a low Palliative Performance Scale score. Compared with patients with a high score, patients with a low score were more likely to die, have do not intubate orders and be discharged to a facility. Palliative Performance Scale independently predicts mortality (odds ratio 2.89; 95% confidence interval 1.42-5.85).

CONCLUSIONS

Preadmission Palliative Performance Scale independently predicts mortality in patients hospitalized with COVID-19. Improved predictors of mortality can help clinicians caring for patients with COVID-19 to discuss prognosis and provide appropriate palliative care including decisions about life-sustaining therapy.

An Algorithm to Optimize the Micro-Geometrical Dimensions of Scaffolds with Spherical Pores

Despite the wide use of scaffolds with spherical pores in the clinical context, no studies are reported in the literature that optimize the micro-architecture dimensions of such scaffolds to maximize the amounts of neo-formed bone. In this study, a mechanobiology-based optimization algorithm was implemented to determine the optimal geometry of scaffolds with spherical pores subjected to both compression and shear loading. We found that these scaffolds are particularly suited to bear shear loads; the amounts of bone predicted to form for this load type are, in fact, larger than those predicted in other scaffold geometries. Knowing the anthropometric characteristics of the patient, one can hypothesize the possible value of load acting on the scaffold that will be implanted and, through the proposed algorithm, determine the optimal dimensions of the scaffold that favor the formation of the largest amounts of bone. The proposed algorithm can guide and support the surgeon in the choice of a "personalized" scaffold that better suits the anthropometric characteristics of the patient, thus allowing to achieve a successful follow-up in the shortest possible time.

High Acuity of Postoperative Consults to Emergency General Surgery at an Urban Safety Net Hospital

BACKGROUND

Emergency general surgery (EGS) has high rates of morbidity, mortality, and readmission. Therefore, it might be expected that an EGS service fields many consultations for postoperative patients. However, with the known overutilization of emergency department visits for nonurgent conditions, we hypothesized most postoperative consults received by an EGS service would be nonurgent and could be appropriately managed as an outpatient.

METHODS

We reviewed all EGS consults at a single urban safety net hospital over a 12-month period, screening for patients who had undergone surgery in the previous 12 mo. This included consultations from the emergency room and inpatient setting. Demographics, admission status, procedures performed, and other details were abstracted from the chart and Vizient reports. Consultation questions were categorized and then reviewed by an expert panel to determine if conditions could have been managed as an outpatient.

RESULTS

The EGS service received a total of 1112 consults, with 99 (9%) for a postoperative condition. Overall, 85% of postoperative consults were admitted after consultation, 19% underwent surgery and 21% underwent a procedure with gastroenterology or interventional radiology. Expert review classified slightly over one-third (36%) of consults as nonurgent.

CONCLUSIONS

Most postoperative consults seen at our urban safety net hospital represent true morbidity that required admission, intervention, or surgery. Despite this high acuity, one-third of postoperative consults could have been managed as an outpatient. Efforts to improve discharge instructions and set patient expectations could limit unnecessary postoperative emergency department visits.

Teaching Residents Communication Skills around Death and Dying in the Trauma Bay

Abstract Background: Traumatic events are sudden, unexpected, and often devastating. The delivery of difficult news to patients and families in the trauma setting has unique challenges that necessitate communication skills that may differ from those used in other clinical environments. Objective: Design and implement a novel curriculum to teach, assess, and provide feedback to trauma residents on the communication skills necessary for delivering difficult news to patients and families in the trauma setting. Methods: This communication curriculum was delivered in three separate phases: (1) didactics using a video education e-module, (2) simulated practice of trauma resuscitation with a high-fidelity mannequin followed by role play of delivering difficult news, (3) an observed skills assessment using standardized patients (SPs). Each phase focused on delivery of difficult news of death and of uncertain/poor prognosis after a resuscitation in the trauma bay. Learners were trauma residents that included postgraduate year (PGY) 1-2 general surgery residents and PGY 1-4 emergency medicine residents at a level 1 trauma center. Outcomes include resident comfort, knowledge, and confidence in delivering difficult news in the trauma setting. Results: Thirty-nine trauma residents participated in the three-phase curriculum. There was an increase in the mean scores of resident-reported comfort, knowledge, and confidence in delivering difficult news for the seriously injured. SPs rated 78% of residents as competent to perform delivery of difficult news in the trauma bay independently. Conclusions: A curriculum to teach and assess trauma residents in the skills necessary to deliver difficult news in the trauma setting is both feasible and effective.

Mechanobiological Approach to Design and Optimize Bone Tissue Scaffolds 3D Printed with Fused Deposition Modeling: A Feasibility Study

In spite of the rather large use of the fused deposition modeling (FDM) technique for the fabrication of scaffolds, no studies are reported in the literature that optimize the geometry of such scaffold types based on mechanobiological criteria. We implemented a mechanobiology-based optimization algorithm to determine the optimal distance between the strands in cylindrical scaffolds subjected to compression. The optimized scaffolds were then 3D printed with the FDM technique and successively measured. We found that the difference between the optimized distances and the average measured ones never exceeded 8.27% of the optimized distance. However, we found that large fabrication errors are made on the filament diameter when the filament diameter to be realized differs significantly with respect to the diameter of the nozzle utilized for the extrusion. This feasibility study demonstrated that the FDM technique is suitable to build accurate scaffold samples only in the cases where the strand diameter is close to the nozzle diameter. Conversely, when a large difference exists, large fabrication errors can be committed on the diameter of the filaments. In general, the scaffolds realized with the FDM technique were predicted to stimulate the formation of amounts of bone smaller than those that can be obtained with other regular beam-based scaffolds.

A neural network-based software to recognise blepharospasm symptoms and to measure eye closure time

Blepharospasm (BSP) is an adult-onset focal dystonia with phenomenologically heterogeneous effects, including, but not limited to, blinks, brief or prolonged spasms, and a narrowing or closure of the eyelids. In spite of the clear and well-known symptomatology, objectively rating the severity of this dystonia is a rather complex task since BSP symptoms are so subtle and hardly perceptible that even expert neurologists can rate the gravity of the pathology differently in the same patients. Software tools have been developed to help clinicians in the rating procedure. Currently, a computerised video-based system is available that is capable of objectively determining the eye closure time, however, it cannot distinguish the typical symptoms of the pathology. In this study, we attempt to take a step forward by proposing a neural network-based software able not only to measure the eye closure, time but also to recognise and count the typical blepharospasm symptoms. The software, after detecting the state of the eyes (open or closed), the movement of specific facial landmarks, and properly implementing artificial neural networks with an optimised topology, can recognise blinking, and brief and prolonged spasms. Comparing the software predictions with the observations of an expert neurologist allowed assessment of the sensitivity and specificity of the proposed software. The levels of sensitivity were high for recognising brief and prolonged spasms but were lower in the case of blinks. The proposed software is an automatic tool capable of making objective 'measurements' of blepharospasm symptoms.

Recent Advances in Endocrine, Metabolic and Immune Disorders: Mesenchymal Stem Cells (MSCs) and Engineered Scaffolds

BACKGROUND

New sources of stem cells in adult organisms are constantly emerging. Postnatal Mesenchymal Stem Cells (MSCs), are the most promising support to perform an effective regenerative medicine: such cells have the ability to differentiate into several lineages, such as osteoblasts and chondroblasts, providing novel strategies to improve different complex treatments, during bone regeneration. 3D-printed biomaterials can be designed with geometry aimed to induce stem cells to differentiate towards specific lineage.

OBJECTIVE

The interaction between stem cells easy to isolate and engineered 3D-printed scaffolds can translate the tissue bio-engineering into bone regenerative surgery. For those reasons, to better identify the complexity represented by the activities and responses of MSCs requires the advance of new target therapies which are not current in endocrine, metabolic and immune disorders and yet to be developed.

METHOD

This topical review briefly focuses on the new approaches of translational medicine with the use of MSCs and scaffolds engineered with the aid of 3D-printing technology, highlights the osteogenic functions and addresses their applications across the breadth of regenerative medicine.

RESULTS

The application of bone constructs consisting of the engineered scaffold and MSCs as well as the aspects related to the optimal scaffold geometry that favours the best MSCs differentiation and the improvement of concepts as "sensing surface" were also discussed.

CONCLUSION

Regenerative surgery is largely growing in the field of translational medicine. The use of new sources of MSCs and the improvement of new concepts of bio-engineered scaffolds will certainly be the next step of customized medicine.

Salmonella Typhi Colonization Provokes Extensive Transcriptional Changes Aimed at Evading Host Mucosal Immune Defense During Early Infection of Human Intestinal Tissue

Commensal microorganisms influence a variety of host functions in the gut, including immune response, glucose homeostasis, metabolic pathways and oxidative stress, among others. This study describes how Salmonella Typhi, the pathogen responsible for typhoid fever, uses similar strategies to escape immune defense responses and survive within its human host. To elucidate the early mechanisms of typhoid fever, we performed studies using healthy human intestinal tissue samples and "mini-guts," organoids grown from intestinal tissue taken from biopsy specimens. We analyzed gene expression changes in human intestinal specimens and bacterial cells both separately and after colonization. Our results showed mechanistic strategies that S. Typhi uses to rearrange the cellular machinery of the host cytoskeleton to successfully invade the intestinal epithelium, promote polarized cytokine release and evade immune system activation by downregulating genes involved in antigen sampling and presentation during infection. This work adds novel information regarding S. Typhi infection pathogenesis in humans, by replicating work shown in traditional cell models, and providing new data that can be applied to future vaccine development strategies.

Secondary Leukemia following Treatment for Hodgkin's Disease

Aims and Background

Patients treated for Hodgkin's disease with chemotherapy or with the association of chemotherapy and radiotherapy have an increased risk of secondary leukemia. The aim of this study was to evaluate the leukemogenic risk due to these treatment modalities.

Methods

We performed a case-control study on a population of 1410 patients treated for Hodgkin's disease from 1970 to 1990 in our Institute. Among these patients, we identified 25 cases of secondary leukemia and 3 cases of myelodysplasia, all occurring more than one year after the diagnosis of Hodgkin's disease. Three cases occurred among the patients treated with radiotherapy alone. When we analyzed the risk in relation to the type of treatment (radiotherapy, chemotherapy, or both), the comparisons were relative to patients treated with radiotherapy alone.

Results

We found that chemotherapy alone is associated with a fivefold increased risk (odds ratio = 5.4) compared with radiotherapy alone. When both treatments are used, the risk is not further increased (odds ratio = 4.4). Patients receiving more than 6 courses of chemotherapy have an excess risk (relative risk = 2.5) compared with those treated with 6 courses or less. No increased risk was observed after splenectomy.

Conclusions

This study confirms an increased incidence of secondary leukemia occurring in patients treated for Hodgkin's disease. The increased risk seems to be correlated with the number of courses of alkylating agent therapy, whereas it is unaffected by the addition of radiotherapy.

Tamoxifen in Disseminated Breast Cancer

86 postmenopausal women with disseminated breast cancer have been treated orally with 30 mg of Tamoxifen per day (ICI 46474, Nolvadex) for periods of 2 months or more. The overall responders were 28/86 (32.5 %) with a median remission duration of 9 months. In 30 patients already shown to be resistant to cytotoxic chemotherapy, Tamoxifen was used as first hormonal agent; the remission rate in this group was 12/30 (40 %), while it was 28.5 % (16/56) in the others who had already received different hormonal treatments. In 6 early menopausal cases, the treatment had to be stopped for a dangerous « worsening syndrome ». Other side effects were trivial. In 28/35 cases (80%), we have found the reappearance of a pattern of estrogenic activity in vaginal smears during treatment. Hence a « simil-estrogen », more than an « anti-estrogen » mechanism of action is postulated and a selection of patients for treatment in the « mid postmenopausal age » is recommanded.

Tamoxifen Treatment for Advanced Renal Cell Cancer

Twelve patients with metastatic clear cell renal cancer received a course of tamoxifen. Three showed stable disease for a period from 2 to 12 months and 1 a mixed response for a short time. It does not appear that tamoxifen may be a useful agent in the treatment of metastatic renal cell carcinoma.

Tossicità della Bleomicina Somministrata in Infusione Continua ad Alte Dosi

Sono stati trattati 15 pazienti affetti da carcinoma non seminomatoso del testicolo con un regime polichemioterapico mensile comprendente cis-platino, vinblastina e bleomicina: questo ultimo farmaco veniva somministrato per infusione continua per 5 giorni, alla dose totale di 100 mg/m2 per ciclo. 12 su 15 pazienti hanno raggiunto remissione (10 CR e 2 PR); abbiamo studiato la tossicità di tale farmaco somministrato a dosi relativamente alte con una dose Medicina di 675 mg (range tra 450 e 1050 mg). La tossicità cutanea si è osservata in 2 pazienti su 15. La tossicità polmonare è praticamente nulla; questa è stata controllata con Rxgrafia, indice di Tiffeneau (valore mediano 84) Pa O2 (valore mediano 78). 2 su 15 pazienti hanno evidenziato grave ma reversibile tossicità alla mucosa orofaringea. Alopecia si è evidenziata in tutti i pazienti.

Chemotheraphy of Medulloblastoma

A combination of Vincristine, Cyclophosphamide and intrathecal Methotrexate has proved effective in obtaining a remission of a recurrent medulloblastoma metastatized to the spinal cord of a 5 years old boy. The remission has been lasting 4 months, before treatment switched again to radiotherapy.

Predictive markers in lung cancer: a few hints for the practicing pathologist

This review article highlights some important points in the evolving area of predictive biomarkers determination in non-small-cell lung cancer toward standardization of testing practices, including EGFR mutations, ALK and ROS1 rearrangements and immunohistochemical expression of PD-L1. Considerations for selecting appropriate populations for molecular testing, and emergence of other targetable molecular alterations are also discussed.

Optimal Load for Bone Tissue Scaffolds with an Assigned Geometry

Thanks to the recent advances of three-dimensional printing technologies the design and the fabrication of a large variety of scaffold geometries was made possible. The surgeon has the availability of a wide number of scaffold micro-architectures thus needing adequate guidelines for the choice of the best one to be implanted in a patient-specific anatomic region. We propose a mechanobiology-based optimization algorithm capable of determining, for bone tissue scaffolds with an assigned geometry, the optimal value L_opt of the compression load to which they should be subjected, i.e. the load value for which the formation of the largest amounts of bone is favoured and hence the successful outcome of the scaffold implantation procedure is guaranteed. Scaffolds based on hexahedron unit cells were investigated including pores differently dimensioned and with different shapes such as elliptic or rectangular. The algorithm predicted decreasing values of the optimal load for scaffolds with pores with increasing dimensions. The optimal values predicted for the scaffolds with elliptic pores were found higher than those with rectangular ones. The proposed algorithm can be utilized to properly guide the surgeon in the choice of the best scaffold type/geometry that better satisfies the specific patient requirements.