Measurement of the major ignored burden of multiple myeloma, pernicious anaemia and of other haematological conditions on partners and family members: A cross-sectional study.

BACKGROUND: Having a haematological condition can adversely affect the quality of life (QoL) of family members/partners of patients. It is important to measure this often ignored burden in order to implement appropriate supportive interventions. OBJECTIVE: To measure current impact of haematological conditions on the QoL of family members/partners of patients, using the Family Reported Outcome Measure-16 (FROM-16). METHODS: A cross-sectional study, recruited online through patient support groups, involved UK family members/partners of people with haematological conditions completing the FROM-16. RESULTS: 183 family members/partners (mean age = 60.5 years, SD = 13.2; females = 62.8%) of patients (mean age = 64.1, SD = 12.8; females = 46.4%) with 12 haematological conditions completed the FROM-16. The FROM-16 mean total score was 14.0 (SD = 7.2), meaning 'a moderate effect on QoL'. The mean FROM-16 scores of family members of people with multiple myeloma (mean = 15.8, SD = 6.3, n = 99) and other haematological malignancies (mean = 13.9, SD = 7.8, n = 29) were higher than of people with pernicious anaemia (mean = 10.7, SD = 7.5, n = 47) and other non-malignant conditions (mean = 11, SD = 7.4, n = 56, p < .01). Over one third (36.1%, n = 183) of family members experienced a 'very large effect' (FROM-16 score>16) on their quality of life. CONCLUSIONS: Haematological conditions, in particular those of malignant type, impact the QoL of family members/partners of patients. Healthcare professionals can now, using FROM-16, identify those most affected and should consider how to provide appropriate holistic support within routine practice.

Microscale advection governs microbial growth and oxygen consumption in macroporous aggregates.

Most microbial life on Earth is found in localized microenvironments that collectively exert a crucial role in maintaining ecosystem health and influencing global biogeochemical cycles. In many habitats such as biofilms in aquatic systems, bacterial flocs in activated sludge, periphyton mats, or particles sinking in the ocean, these microenvironments experience sporadic or continuous flow. Depending on their microscale structure, pores and channels through the microenvironments permit localized flow that shifts the relative importance of diffusive and advective mass transport. How this flow alters nutrient supply, facilitates waste removal, drives the emergence of different microbial niches, and impacts the overall function of the microenvironments remains unclear. Here, we quantify how pores through microenvironments that permit flow can elevate nutrient supply to the resident bacterial community using a microfluidic experimental system and gain further insights from coupled population-based and computational fluid dynamics simulations. We find that the microscale structure determines the relative contribution of advection vs diffusion, and even a modest flow through a pore in the range of 10 µm s-1 can increase the carrying capacity of a microenvironment by 10%. Recognizing the fundamental role that microbial hotspots play in the Earth system, developing frameworks that predict how their heterogeneous morphology and potential interstitial flows change microbial function and collectively alter global scale fluxes is critical.IMPORTANCEMicrobial life is a key driver of global biogeochemical cycles. Similar to the distribution of humans on Earth, they are often not homogeneously distributed in nature but occur in dense clusters that resemble microbial cities. Within and around these clusters, diffusion is often assumed as the sole mass-transfer process that dictates nutrient supply and waste removal. In many natural and engineered systems such as biofilms in aquatic environments, aggregates in bioremediation, or flocs in wastewater treatment plants, these clusters are exposed to flow that elevates mass transfer, a process that is often overlooked. In this study, we show that advective fluxes can increase the local growth of bacteria in a single microenvironment by up to 50% and shape their metabolism by disrupting localized anoxia or supplying nutrients at different rates. Collectively, advection-enhanced mass transport may thus regulate important biogeochemical transformations in both natural and engineered environments.

Responsiveness and minimal important change of the Family Reported Outcome Measure (FROM-16).

BACKGROUND: The FROM-16 is a generic family quality of life (QoL) instrument that measures the QoL impact of patients' disease on their family members/partners. The study aimed to assess the responsiveness of FROM-16 to change and determine Minimal Important Change (MIC). METHODS: Responsiveness and MIC for FROM-16 were assessed prospectively with patients and their family members recruited from outpatient departments of the University Hospital Wales and University Hospital Llandough, Cardiff, United Kingdom. Patients completed the EQ-5D-3L and a global severity question (GSQ) online at baseline and at 3-month follow-up. Family members completed FROM-16 at baseline and a Global Rating of Change (GRC) in addition to FROM-16 at follow-up. Responsiveness was assessed using the distribution-based (effect size-ES, standardized response mean -SRM) and anchor-based (area under the receiver operating characteristics curve ROC-AUC) approaches and by testing hypotheses on expected correlation strength between FROM-16 change score and patient assessment tools (GSQ and EQ-5D). Cohen's criteria were used for assessing ES. The AUC ≥ 0.7 was considered a good measure of responsiveness. MIC was calculated using anchor-based (ROC analysis and adjusted predictive modelling) and distribution methods based on standard deviation (SD) and standard error of the measurement (SEM). RESULTS: Eighty-three patients with 15 different health conditions and their relatives completed baseline and follow-up questionnaires and were included in the responsiveness analysis. The mean FROM-16 change over 3 months = 1.43 (SD = 4.98). The mean patient EQ-5D change over 3 months = -0.059 (SD = 0.14). The responsiveness analysis showed that the FROM-16 was responsive to change (ES = 0.2, SRM = 0.3; p < 0.01). The ES and SRM of FROM-16 change score ranged from small (ES = 0.2; SRM = 0.3) for the distribution-based method to large (ES = 0.8, SRM = 0.85) for anchor-based methods. The AUC value was above 0.7, indicating good responsiveness. There was a significant positive correlation between the FROM-16 change scores and the patient's disease severity change scores (p < 0.001). The MIC analysis was based on data from 100 family members of 100 patients. The MIC value of 4 was suggested for FROM-16. CONCLUSIONS: The results of this study confirm the longitudinal validity of FROM-16 which refers to the degree to which an instrument is able to measure change in the construct to be measured. The results yield a MIC value of 4 for FROM-16. These psychometric attributes of the FROM-16 instrument are useful in both clinical research as well as clinical practice.

Methotrexate toxicity complicating a case of rheumatoid arthritis associated Interstitial Lung Disease: Lessons to learn.

Rheumatoid arthritis (RA) is one of the most common types of autoimmune arthritis. It can also involve other organs, including vascular structures, and lungs which are affected in 60% to 80% of cases. Other complications may present as airway infections and drug related pulmonary toxicity. We present the case of 75-year-old male patient of North African decent that was hospitalized initially for chronic dyspnea associated with other systemic manifestations, and in whom we confirmed the diagnosis of Rheumatoid arthritis associated interstitial lung disease. The patient was treated with methotrexate (MTX) and later on, he developed a fatal case of methotrexate related pulmonary toxicity.

Multiscale Porosity Microfluidics to Study Bacterial Transport in Heterogeneous Chemical Landscapes.

Microfluidic models are proving to be powerful systems to study fundamental processes in porous media, due to their ability to replicate topologically complex environments while allowing detailed, quantitative observations at the pore scale. Yet, while porous media such as living tissues, geological substrates, or industrial systems typically display a porosity that spans multiple scales, most microfluidic models to date are limited to a single porosity or a small range of pore sizes. Here, a novel microfluidic system with multiscale porosity is presented. By embedding polyacrylamide (PAAm) hydrogel structures through in-situ photopolymerization in a landscape of microfabricated polydimethylsiloxane (PDMS) pillars with varying spacing, micromodels with porosity spanning several orders of magnitude, from nanometers to millimeters are created. Experiments conducted at different porosity patterns demonstrate the potential of this approach to characterize fundamental and ubiquitous biological and geochemical transport processes in porous media. Accounting for multiscale porosity allows studies of the resulting heterogeneous fluid flow and concentration fields of transported chemicals, as well as the biological behaviors associated with this heterogeneity, such as bacterial chemotaxis. This approach brings laboratory studies of transport in porous media a step closer to their natural counterparts in the environment, industry, and medicine.

Mapping of Family Reported Outcome Measure (FROM-16) scores to EQ-5D: algorithm to calculate utility values.

OBJECTIVE: Although decision scientists and health economists encourage inclusion of family member/informal carer utility in health economic evaluation, there is a lack of suitable utility measures comparable to patient utility measures such those based on the EQ-5D. This study aims to predict EQ-5D-3L utility values from Family Reported Outcome Measure (FROM-16) scores, to allow the use of FROM-16 data in health economic evaluation when EQ-5D data is not available. METHODS: Data from 4228 family members/partners of patients recruited to an online cross-sectional study through 58 UK-based patient support groups, three research support platforms and Welsh social services departments were randomly divided five times into two groups, to derive and test a mapping model. Split-half cross-validation was employed, resulting in a total of ten multinomial logistic regression models. The Monte Carlo simulation procedure was used to generate predicted EQ-5D-3L responses, and utility scores were calculated and compared against observed values. Mean error and mean absolute error were calculated for all ten validation models. The final model algorithm was derived using the entire sample. RESULTS: The model was highly predictive, and its repeated fitting using multinomial logistic regression demonstrated a stable model. The mean differences between predicted and observed health utility estimates ranged from 0.005 to 0.029 across the ten modelling exercises, with an average overall difference of 0.015 (a 2.2% overestimate, not of clinical importance). CONCLUSIONS: The algorithm developed will enable researchers and decision scientists to calculate EQ-5D health utility estimates from FROM-16 scores, thus allowing the inclusion of the family impact of disease in health economic evaluation of medical interventions when EQ-5D data is not available.

Development and Evaluation of Ensemble Learning-based Environmental Methane Detection and Intensity Prediction Models.

The environmental impacts of global warming driven by methane (CH4) emissions have catalyzed significant research initiatives in developing novel technologies that enable proactive and rapid detection of CH4. Several data-driven machine learning (ML) models were tested to determine how well they identified fugitive CH4 and its related intensity in the affected areas. Various meteorological characteristics, including wind speed, temperature, pressure, relative humidity, water vapor, and heat flux, were included in the simulation. We used the ensemble learning method to determine the best-performing weighted ensemble ML models built upon several weaker lower-layer ML models to (i) detect the presence of CH4 as a classification problem and (ii) predict the intensity of CH4 as a regression problem. The classification model performance for CH4 detection was evaluated using accuracy, F1 score, Matthew's Correlation Coefficient (MCC), and the area under the receiver operating characteristic curve (AUC ROC), with the top-performing model being 97.2%, 0.972, 0.945 and 0.995, respectively. The R 2 score was used to evaluate the regression model performance for CH4 intensity prediction, with the R 2 score of the best-performing model being 0.858. The ML models developed in this study for fugitive CH4 detection and intensity prediction can be used with fixed environmental sensors deployed on the ground or with sensors mounted on unmanned aerial vehicles (UAVs) for mobile detection.

Quality of life assessment in core outcome sets: A position statement of the EADV Task Force on Quality of Life and Patient Oriented Outcomes.

Core outcome sets (COSs) are an agreed standardized collection of outcomes that should be measured and reported in all clinical trials for a specific clinical condition. Tsekhe aim of our position paper by the European Academy of Dermatology and Venereology (EADV) Task Force on Quality of Life and Patient Oriented Outcomes was to identify the challenges and Patient Oriented Outcomes advantages in the development of COSs within dermatological QoL research. Twelve EADV Task Force multidisciplinary team members presented a total of 101 items (51 advantages and 50 disadvantages). All participants considered that COS are beneficial for comparison between different studies, treatments, dermatological diseases, geographical location and ethnicities. In conclusion, the EADV Task Force on Quality of Life and Patient Oriented Outcomes has recognized the primacy of advantages of COS and deliberated that the disadvantages in COS are related to development process and use of COS.

Family reported outcomes, an unmet need in the management of a patient's disease: appraisal of the literature.

BACKGROUND: A person's chronic health condition or disability can have a huge impact on the quality of life (QoL) of the whole family, but this important impact is often ignored. This literature review aims to understand the impact of patients' disease on family members across all medical specialities, and appraise existing generic and disease-specific family quality of life (QoL) measures. METHODS: The databases Medline, EMBASE, CINHAL, ASSIA, PsycINFO and Scopus were searched for original articles in English measuring the impact of health conditions on patients' family members/partner using a valid instrument. RESULTS: Of 114 articles screened, 86 met the inclusion criteria. They explored the impact of a relative's disease on 14,661 family members, mostly 'parents' or 'mothers', using 50 different instruments across 18 specialities including neurology, oncology and dermatology, in 33 countries including the USA, China and Australia. These studies revealed a huge impact of patients' illness on family members. An appraisal of family QoL instruments identified 48 instruments, 42 disease/speciality specific and six generic measures. Five of the six generics are aimed at carers of children, people with disability or restricted to chronic disease. The only generic instrument that measures the impact of any condition on family members across all specialities is the Family Reported Outcome Measure (FROM-16). Although most instruments demonstrated good reliability and validity, only 11 reported responsiveness and only one reported the minimal clinically important difference. CONCLUSIONS: Family members' QoL is greatly impacted by a relative's condition. To support family members, there is a need for a generic tool that offers flexibility and brevity for use in clinical settings across all areas of medicine. FROM-16 could be the tool of choice, provided its robustness is demonstrated with further validation of its psychometric properties.

Clinical experience and psychometric properties of the Cardiff Acne Disability Index (CADI).

The Cardiff Acne Disability Index (CADI) is a questionnaire designed to measure the quality of life of teenagers and young adults with acne. It has been used clinically and within therapeutic research globally. This review aims to appraise all published data regarding the clinical and research experience of the CADI, its psychometric properties and validation, from its publication in 1992 until September 2020, in a single reference source. A literature search was conducted using MEDLINE via Ovid, PubMed, EBSCOhost, Web of Science and Scopus. All full articles in the English language were included. A total of 96 clinical studies were identified and analysed. The CADI has been used in 44 different countries, including four multinational studies, and has validated translations in 25 languages. Overall, 29 therapeutic interventions have used the CADI, demonstrating its responsiveness to change. The reliability of the CADI has been assessed in 14 studies through test-retest and internal consistency studies. In total, 57 studies have demonstrated aspects of its validity through correlation to other measures, and five studies have investigated the dimensionality of the CADI. There is evidence of high internal consistency, test-retest reliability, responsiveness to change and significant correlation with other objective measures. The minimal clinically important difference and validated score meaning bands have not yet been reported. This information is needed to improve the interpretability of CADI scores for clinical use and in research. The authors of the CADI have also rephrased Question 2 of the measure to ensure inclusivity.

Assessing the likelihood of secondary crashes on freeways with Adaptive Signal Control System deployed on alternate routes.

INTRODUCTION: Reducing the likelihood of freeway secondary crashes will provide significant safety, operational and environmental benefits. This paper presents a method for assessing the likelihood of freeway secondary crashes with Adaptive Signal Control Systems (ASCS) deployed on alternate routes that are typically used by diverted freeway traffic to avoid any delay or congestion due to a freeway primary crash. METHOD: The method includes four steps: (1) identification of secondary crashes, (2) verification of alternate routes, (3) assessment of the likelihood of secondary crashes for freeways with ASCS deployed on alternate routes and non-ASCS (i.e. pre-timed, semi- or fully-actuated) alternate routes, and (4) investigation of unobserved heterogeneity of the likelihood of freeway secondary crashes. Four freeway sections (i.e., two with ASCS deployed on alternate routes and two non-ASCS alternate routes) in South Carolina are considered. RESULTS AND CONCLUSIONS: Findings from the logistic regression modeling reveal significant reduction in the likelihood of secondary crashes for one freeway section (i.e., Charleston I-26 E) with ASCS deployed on alternate route. Other factors such as rear-end crash, dark or limited light, peak period, and annual average daily traffic contribute to the likelihood of freeway secondary crashes. Furthermore, random-parameter logistic regression model results for Charleston I-26 E reveal that unobserved heterogeneity of ASCS effect exists across the observations and ASCS are associated with the reduction of the likelihood of freeway secondary crashes for 84% of the observations (i.e., primary crashes). Location of the primary crash on the freeway is observed to affect the benefit of ASCS toward freeway secondary crash reduction as the primary crash's location determines how many upstream freeway vehicles will be able to take the alternate route. Practical Applications: Based on the findings, it is recommended that the South Carolina Department of Transportation (SCDOT) considers deploying ASCS on alternate routes parallel to freeway sections where high percentages of secondary crashes are found.

An interdisciplinary and application-oriented approach to teach microfluidics.

Microfluidics is a relatively novel interdisciplinary research area with broad applications in chemistry, physics, material science, and biology. Despite the rapid growth of the field, students' exposure to microfluidic technologies is still limited and often insufficient to appreciate the advantages over other commonly used technologies. To this end, we designed a five-day course, "Microfluidics for microbial ecology," in which students with very different backgrounds learn the basics of microfluidic technologies and sample a range of applications in microbial ecology. The course was created for Master and Ph.D. students interested in applying microfluidics to their research and, therefore, followed an application-oriented approach. The presentation of critical aspects of fluid flow phenomena at the microscale and an outline of the advantages and constraints of the technology provide students with the background to design and perform microfluidics-based experiments. In order to improve the effectiveness of learning in a class with diverse interests and backgrounds, two active learning exercises were implemented. The first comprised the design of an individualized microfluidics experiment in parallel with the lectures: students were guided to apply each module to their personalized application and discuss it in groups. The second was a group experimental activity, in which students jointly set up, performed, analyzed, and presented a microfluidics-based experiment. Given the multidisciplinary teaching context, the course was able to foster common conceptual ground and promote discussion among students. This application-oriented approach built upon experimental activities and in-class discussion is well suited to promote learning in a technology-related subject such as microfluidics.

Healthy and diseased in vitro models of vascular systems.

Irregular hemodynamics affects the progression of various vascular diseases, such atherosclerosis or aneurysms. Despite the extensive hemodynamics studies on animal models, the inter-species differences between humans and animals hamper the translation of such findings. Recent advances in vascular tissue engineering and the suitability of in vitro models for interim analysis have increased the use of in vitro human vascular tissue models. Although the effect of flow on endothelial cell (EC) pathophysiology and EC-flow interactions have been vastly studied in two-dimensional systems, they cannot be used to understand the effect of other micro- and macro-environmental parameters associated with vessel wall diseases. To generate an ideal in vitro model of the vascular system, essential criteria should be included: 1) the presence of smooth muscle cells or perivascular cells underneath an EC monolayer, 2) an elastic mechanical response of tissue to pulsatile flow pressure, 3) flow conditions that accurately mimic the hemodynamics of diseases, and 4) geometrical features required for pathophysiological flow. In this paper, we review currently available in vitro models that include flow dynamics and discuss studies that have tried to address the criteria mentioned above. Finally, we critically review in vitro fluidic models of atherosclerosis, aneurysm, and thrombosis.

Investigating hierarchical effects of adaptive signal control system on crash severity using random-parameter ordered regression models incorporating observed heterogeneity.

By handling conflicting traffic movements and establishing dynamic coordination between intersections in real-time, the Adaptive Signal Control System (ASCS) can potentially improve the operation and safety of signalized intersections on a corridor. This study identifies the hierarchical effects of ASCS on the crash severity by exploring the heterogeneous effect of ASCS on the crash severity. Four different random-parameter ordered regression models (two ordered probit models, and two ordered logit models) are developed and compared. The analysis reveals that the random-parameter ordered probit and logit models (ROP and ROL) with observed heterogeneity perform better than the random-parameter ordered probit and logit models (RP and RL) without observed heterogeneity in terms of the Akaike information criteria and the goodness of fit of the model. The ROP model performs better than the ROL model in terms of classification model performance measures. The ROP model enables parameters (i.e., the coefficients of the explanatory variables) to vary as a function of explanatory variables as well as across observations, thus accounting for both observed (captured by available explanatory variables) and unobserved (not captured by available explanatory variables) heterogeneity. The analysis reveals that the presence of ASCS is associated with lower crash severity. In this study, observed heterogeneity of ASCS effects on the crash severity is captured by variables related to the intersection and corridor features. Other contributing factors besides ASCS, such as annual average daily traffic, speed limit, lighting, peak period, crash type (rear-end, angle), and pedestrian involvements, are also associated with the probability of crash severity. Unobserved heterogeneity of the effect of angle crash type on the crash severity is found to exist across the observations. The findings of this research have practical implications for establishing ASCS implementation guidelines in lowering the probability of higher crash severity.

Methods to improve quality of life, beyond medicines. Position statement of the European Academy of Dermatology and Venereology Task Force on Quality of Life and Patient Oriented Outcomes.

The pharmaceutical approach to skin disease has been hugely successful, but despite effective drugs being available and used, there are still vast numbers of people who continue to have some level of persisting skin disease and continue to experience quality of life (QoL) impairment. So the question that needs to be answered, while we await further advances in our drug-based armamentarium, is how can we improve patients' QoL, beyond drugs? A working group was formed from members of the EADV Task Force on QoL and Patient Oriented Outcomes. Participants were asked to suggest all the ways in which they considered patients' QoL may be improved beyond medicines. Four groups of management approaches that may improve QoL in dermatology were identified: interventions within the dermatology service (hospitalization, multidisciplinary teams, patch testing and establishing relevant allergens and education), external services (corrective make-up, climatotherapy and balneotherapy), psychological (psychological intervention, cognitive therapy, hypnosis), lifestyle (lifestyle behavioural changes, religion and spirituality and music). The ultimate aim of therapy is to eradicate a disease in an individual and return the person's life to normal. But until the day comes when this has been achieved for every skin disease and for every patient there will be a need to support and assist many patients in additional non-pharmaceutical ways. These 'adjuvant' approaches receive too little attention while dermatologists and researchers strive for better pharmacological therapy. The different ways in which patients may benefit have been reviewed in our paper, but the reality is that most have a very poor evidence base. The research challenges that we have to meet are to identify those approaches that might be of value and to provide evidence for their optimal use. In the meantime, clinicians should consider the use of these approaches where QoL remains impaired despite optimal use of standard therapy.

PhenoChip: A single-cell phenomic platform for high-throughput photophysiological analyses of microalgae.

Photosynthetic microorganisms are key players in aquatic ecosystems with strong potential for bioenergy production, yet their systematic selection at the single-cell level for improved productivity or stress resilience ("phenotyping") has remained largely inaccessible. To facilitate the phenotyping of microalgae and cyanobacteria, we developed "PhenoChip," a platform for the multiparametric photophysiological characterization and selection of unicellular phenotypes under user-controlled physicochemical conditions. We used PhenoChip to expose single cells of the coral symbiont Symbiodinium to thermal and chemical treatments and monitor single-cell photophysiology via chlorophyll fluorometry. This revealed strain-specific thermal sensitivity thresholds and distinct pH optima for photosynthetic performance, and permitted the identification of single cells with elevated resilience toward rising temperature. Optical expulsion technology was used to collect single cells from PhenoChip, and their propagation revealed indications of transgenerational preservation of photosynthetic phenotypes. PhenoChip represents a versatile platform for the phenotyping of photosynthetic unicells relevant to biotechnology, ecotoxicology, and assisted evolution.

Quality of life measurement in occupational skin diseases. Position paper of the European Academy of Dermatology and Venereology Task Forces on Quality of Life and Patient Oriented Outcomes and Occupational Skin Disease.

The European Academy of Dermatology and Venereology (EADV) has started the 'Healthy Skin @ Work' campaign aimed to raise awareness among the public and EU authorities on the frequency and impact of occupational skin diseases (OSDs). The EADV Task Forces (TFs) on Quality of Life and Patient Oriented Outcomes (QoL/PO) and on OSD present their mutual position statement on QoL assessment in OSDs. The EADV TFs recommend the use of the DLQI as a dermatology-specific instrument and SF-36 as a generic instrument in health-related (HR) QoL studies on OSDs. The OSD-specific questionnaire, LIOD, is not recommended for general use in its present form because of its three months recall period. The EADV TFs discourage the use of non-validated and of non-validated modifications of previously validated HRQoL instruments. The EADV TFs wish to encourage research into: the HRQoL impact of OSDs other than occupational contact dermatitis and hand eczema; comparisons between the effects of different treatments and other interventions on HRQoL in OSDs; and into the HRQoL impairment of patients with OSDs from different countries, and with different provoking factors, to predict if the results of successful therapeutic and educational interventions may be generalized across countries and between occupations.

Position statement of the European Academy of Dermatology and Venereology Task Force on Quality of Life and Patient Oriented Outcomes on quality of life issues in dermatologic patients during the COVID-19 pandemic.

The pandemic of COVID-19 is a global challenge for health care, and dermatologists are not standing apart from trying to meet this challenge. The European Academy of Dermatology and Venereology (EADV) has collected recommendations from its Task Forces (TFs) related to COVID-19. The Journal of the EADV has established a COVID-19 Special Forum giving free access to related articles. The psychosocial effects of the pandemic, an increase in contact dermatitis and several other skin diseases because of stress, disinfectants and protective equipment use, especially in healthcare workers, the temporary limited access to dermatologic care, the dilemma whether or not to pause immunosuppressive therapy, and, finally, the occurrence of skin lesions in patients infected by COVID-19 all contribute to significant quality of life (QoL) impairment. Here, we present detailed recommendations of the EADV TF on QoL and patient-oriented outcomes on how to improve QoL in dermatologic patients during the COVID-19 pandemic for several different groups of patients and for the general population.

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior.

We demonstrate a method for the generation of controlled, dynamic chemical pulses-where localized chemoattractant becomes suddenly available at the microscale-to create micro-environments for microbial chemotaxis experiments. To create chemical pulses, we developed a system to introduce amino acid sources near-instantaneously by photolysis of caged amino acids within a polydimethylsiloxane (PDMS) microfluidic chamber containing a bacterial suspension. We applied this method to the chemotactic bacterium, Vibrio ordalii, which can actively climb these dynamic chemical gradients while being tracked by video microscopy. Amino acids, rendered biologically inert ('caged') by chemical modification with a photoremovable protecting group, are uniformly present in the suspension but not available for consumption until their sudden release, which occurs at user-defined points in time and space by means of a near-UV-A focused LED beam. The number of molecules released in the pulse can be determined by a calibration relationship between exposure time and uncaging fraction, where the absorption spectrum after photolysis is characterized by using UV-Vis spectroscopy. A nanoporous polycarbonate (PCTE) membrane can be integrated into the microfluidic device to allow the continuous removal by flow of the uncaged compounds and the spent media. A strong, irreversible bond between the PCTE membrane and the PDMS microfluidic structure is achieved by coating the membrane with a solution of 3-aminopropyltriethoxysilane (APTES) followed by plasma activation of the surfaces to be bonded. A computer-controlled system can generate user-defined sequences of pulses at different locations and with different intensities, so as to create resource landscapes with prescribed spatial and temporal variability. In each chemical landscape, the dynamics of bacterial movement at the individual scale and their accumulation at the population level can be obtained, thereby allowing the quantification of chemotactic performance and its effects on bacterial aggregations in ecologically relevant environments.