The Dermatology Life Quality Index (DLQI) as the Primary Outcome in Randomised Clinical Trials: A systematic review.

BACKGROUND: Primary endpoint measures in clinical trials are typically measures of disease severity, with patient reported outcome measures (PROMs) relegated as secondary endpoints. However validation of some PROMs may be more rigorous than that of disease severity measures, arguing for a primary role for PROMs. OBJECTIVES: This study reports on 24 peer reviewed journal articles that used the Dermatology Life Quality Index (DLQI) as primary outcome, derived from a systematic review of randomised controlled trials (RCTs) utlising DLQI covering all diseases and interventions. MATERIALS AND METHOD: The study protocol was prospectively published on the PROSPERO database, and the study followed PRISMA guidelines. Searches were made with Medline, Cochrane library, EMBASE, Web of Science, SCOPUS, CINAHL(EBSCO) and PsycINFO databases and records combined into an Endnote database. Records were filtered for duplicates and selected by study inclusion/exclusion criteria. Full text articles were sourced and data was extracted by two reviewers into a bespoke REDCap database, with a third reviewer adjudicating differences. The Jadad scoring method was used to determine risk of bias. RESULTS: Of the 3,220 publications retrieved from online searching, 457 articles met eligibility criteria and included 198,587 patients. DLQI scores were primary outcomes in 24 (5.3%) of these studies comprising 15 different diseases and 3,436 patients. Most study interventions (17/24 studies, 68%) were systemic drugs with biologics (liraglutide, alefacept, secukinumab, ustekinumab, adalimumab) accounting for five out of 25 pharmacological interventions (20%). Topical treaments comprised 32% (8 studies) whereas non-pharmacological interventions (8) were 24% of the total interventions (33). Three studies used non-traditional medicines. Eight studies were multicentred (33.3%), with trials conducted in at least 14 different countries, and four (16.7%) were conducted in multiple countries. The Jadad risk of bias scale showed that bias was uncertain or low, as 87.5% of studies had Jadad scores of ≥3. CONCLUSIONS: This study provides evidence for use of the DLQI as primary outcome in clinical trials to inform researchers' and clinicians' decisions for its further use.

A systematic review of 454 randomized controlled trials using the Dermatology Life Quality Index: experience in 69 diseases and 43 countries.

BACKGROUND: Over 29 years of clinical application, the Dermatology Life Quality Index (DLQI) has remained the most used patient-reported outcome (PRO) in dermatology due to its robustness, simplicity and ease of use. OBJECTIVES: To generate further evidence of the DLQI's utility in randomized controlled trials (RCTs) and to cover all diseases and interventions. METHODS: The methodology followed PRISMA guidelines and included seven bibliographical databases, searching articles published from 1 January 1994 until 16 November 2021. Articles were reviewed independently by two assessors, and an adjudicator resolved any opinion differences. RESULTS: Of 3220 screened publications, 454 articles meeting the eligibility criteria for inclusion, describing research on 198 190 patients, were analysed. DLQI scores were primary endpoints in 24 (5.3%) of studies. Most studies were of psoriasis (54.1%), although 69 different diseases were studied. Most study drugs were systemic (85.1%), with biologics comprising 55.9% of all pharmacological interventions. Topical treatments comprised 17.0% of total pharmacological interventions. Nonpharmacological interventions, mainly laser therapy and ultraviolet radiation treatment, comprised 12.2% of the total number of interventions. The majority of studies (63.7%) were multicentric, with trials conducted in at least 42 different countries; 40.2% were conducted in multiple countries. The minimal clinically importance difference (MCID) was reported in the analysis of 15.0% of studies, but only 1.3% considered full score meaning banding of the DLQI. Forty-seven (10.4%) of the studies investigated statistical correlation of the DLQI with clinical severity assessment or other PRO/quality of life tools; and 61-86% of studies had within-group scores differences greater than the MCID in 'active treatment arms'. The Jadad risk-of-bias scale showed that bias was generally low, as 91.8% of the studies had Jadad scores of ≥ 3; only 0.4% of studies showed a high risk of bias from randomization. Thirteen per cent had a high risk of bias from blinding and 10.1% had a high risk of bias from unknown outcomes of all participants in the studies. In 18.5% of the studies the authors declared that they followed an intention-to-treat protocol; imputation for missing DLQI data was used in 34.4% of studies. CONCLUSIONS: This systematic review provides a wealth of evidence of the use of the DLQI in clinical trials to inform researchers' and -clinicians' decisions for its further use. Recommendations are also made for improving the reporting of data from future RCTs using the DLQI.

Prospective Real-Time Validation of a Lung Ultrasound Deep Learning Model in the ICU.

OBJECTIVES: To evaluate the accuracy of a bedside, real-time deployment of a deep learning (DL) model capable of distinguishing between normal (A line pattern) and abnormal (B line pattern) lung parenchyma on lung ultrasound (LUS) in critically ill patients. DESIGN: Prospective, observational study evaluating the performance of a previously trained LUS DL model. Enrolled patients received a LUS examination with simultaneous DL model predictions using a portable device. Clip-level model predictions were analyzed and compared with blinded expert review for A versus B line pattern. Four prediction thresholding approaches were applied to maximize model sensitivity and specificity at bedside. SETTING: Academic ICU. PATIENTS: One-hundred critically ill patients admitted to ICU, receiving oxygen therapy, and eligible for respiratory imaging were included. Patients who were unstable or could not undergo an LUS examination were excluded. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A total of 100 unique ICU patients (400 clips) were enrolled from two tertiary-care sites. Fifty-six patients were mechanically ventilated. When compared with gold standard expert annotation, the real-time inference yielded an accuracy of 95%, sensitivity of 93%, and specificity of 96% for identification of the B line pattern. Varying prediction thresholds showed that real-time modification of sensitivity and specificity according to clinical priorities is possible. CONCLUSIONS: A previously validated DL classification model performs equally well in real-time at the bedside when platformed on a portable device. As the first study to test the feasibility and performance of a DL classification model for LUS in a dedicated ICU environment, our results justify further inquiry into the impact of employing real-time automation of medical imaging into the care of the critically ill.

Utilization of microalgal-bacterial energy nexus improves CO2 sequestration and remediation of wastewater pollutants for beneficial environmental services.

Carbon dioxide (CO2) emissions from the combustion of fossil fuels and coal are primary contributors of greenhouse gases leading to global climate change and warming. The toxicity of heavy metals and metalloids in the environment threatens ecological functionality, diversity and global human life. The ability of microalgae to thrive in harsh environments such as industrial wastewater, polluted lakes, and contaminated seawaters presents new, environmentally friendly, and less expensive CO2 remediation solutions. Numerous microalgal species grown in wastewater for industrial purposes may absorb and convert nitrogen, phosphorus, and organic matter into proteins, oil, and carbohydrates. In any multi-faceted micro-ecological system, the role of bacteria and their interactions with microalgae can be harnessed appropriately to enhance microalgae performance in either wastewater treatment or algal production systems. This algal-bacterial energy nexus review focuses on examining the processes used in the capture, storage, and biological fixation of CO2 by various microalgal species, as well as the optimized production of microalgae in open and closed cultivation systems. Microalgal production depends on different biotic and abiotic variables to ultimately deliver a high yield of microalgal biomass.

Translation and validation of the Polish language version of the Teenagers Quality of Life questionnaire (T-QoL).

Introduction: Skin diseases affect patients at any age, but as each period in life is different, tools used to assess quality of life impairment should be adjusted according to the particular age group. Adolescence is a unique time, when young individuals go through many changes, making them especially vulnerable to stress. Aim: Translation and validation of a Polish language version of the Teenagers Quality of Life questionnaire (T-QoL) questionnaire. Material and methods: T-QoL was translated following international guidelines. A group of 34 dermatological patients, aged 12-19 years old, with various skin diseases were given the T-QoL as well as the CDLQI or DLQI to complete. They were also asked to complete the T-QoL questionnaire for the second time after 3-5 days. Statistical analysis of the results was performed. Results: The Polish version of T-QoL is internally consistent (Cronbach α 0.893 for the whole questionnaire). Moreover, it presents very good convergent validity (ICC = 0.864). No statistically significant differences between each question were noticed between the first and second time of completing the form. T-QoL scores correlated significantly with DLQI (p = 0.008, r = 0.636) and CDLQI (p < 0.001, r = 0.777) scores. Conclusions: The Polish version of the T-QoL questionnaire is a reliable instrument with adequate convergent validity, consistency and reproducibility. It can be successfully used to measure quality of life impairment among teenagers.

Lipidomic and transcriptional analysis of the linoleoyl-omega-hydroxyceramide biosynthetic pathway in human psoriatic lesions.

A complex assembly of lipids including fatty acids, cholesterol, and ceramides is vital to the integrity of the mammalian epidermal barrier. The formation of this barrier requires oxidation of the substrate fatty acid, linoleic acid (LA), which is initiated by the enzyme 12R-lipoxygenase (LOX). In the epidermis, unoxidized LA is primarily found in long-chain acylceramides termed esterified omega-hydroxy sphingosine (EOS)/phytosphingosine/hydroxysphingosine (collectively EOx). The precise structure and localization of LOX-oxidized EOx in the human epidermis is unknown, as is their regulation in diseases such as psoriasis, one of the most common inflammatory diseases affecting the skin. Here, using precursor LC/MS/MS, we characterized multiple intermediates of EOx, including 9-HODE, 9,10-epoxy-13-HOME, and 9,10,13-TriHOME, in healthy human epidermis likely to be formed via the epidermal LOX pathways. The top layers of the skin contained more LA, 9-HODE, and 9,10,13-TriHOME EOSs, whereas 9,10-epoxy-13-HOME EOS was more prevalent deeper in the stratum corneum. In psoriatic lesions, levels of native EOx and free HODEs and HOMEs were significantly elevated, whereas oxidized species were generally reduced. A transcriptional network analysis of human psoriatic lesions identified significantly elevated expression of the entire biosynthetic/metabolic pathway for oxygenated ceramides, suggesting a regulatory function for EOx lipids in reconstituting epidermal integrity. The role of these new lipids in progression or resolution of psoriasis is currently unknown. We also discovered the central coordinated role of the zinc finger protein transcription factor, ZIC1, in driving the phenotype of this disease. In summary, long-chain oxygenated ceramide metabolism is dysregulated at the lipidomic level in psoriasis, likely driven by the transcriptional differences also observed, and we identified ZIC1 as a potential regulatory target for future therapeutic interventions.

Major life changing decision profile: Creation of the Polish language version.

Chronic diseases have long-term consequences and can affect individuals' life course. The aim of this study was to create the Polish language version of a questionnaire estimating the impact of the disease on important life decisions-the major life changing decision profile (MLCDP). The translation of the MLCDP followed international guidelines. The created Polish language version of the questionnaire was administered to 32 nephrology and dermatology ward inpatients. To assess its properties, statistical analysis of the results obtained was conducted. The Polish language version of the MLCDP demonstrated very good internal consistency with a Cronbach α coefficient of 0.84. The questionnaire presented excellent test-retest reliability, established with a coefficient ICC of 0.97. The Polish language version of MLCDP has shown high internal consistency and reproducibility, and can be used effectively to assess the cumulative impact of the disease by indicating the number of major life decisions affected by chronic disease.

Counting the Burden: Atopic Dermatitis and Health-related Quality of Life.

Atopic dermatitis is the most prevalent chronic inflammatory skin condition globally. The burden of atopic dermatitis on children and adults is extensive and there is also significant impact on the lives of patient caregivers and family members. It is important to be able to measure this impact to inform clinical decisions and to plan appropriate patient and carer support. The current impact of atopic dermatitis on children and adults can be measured using several different quality of life questionnaires: the most frequently used are the Dermatology Quality of Life (DLQI), Children's Dermatology Quality of Life and Infants Dermatology Quality of Life. The impact on partners and family can be measured using several atopic dermatitis specific questionnaires or the Family DLQI or the generic Family Reported Outcome Measure, FROM-16.

Family Reported Outcome Measure - 16 (FROM-16): Creation, Reliability and Reproducibility of the Polish Language Version.

Chronic diseases not only have a direct influence on patients' quality of life, but can also affect the life of family members. The aim of this study was to create the Polish language version of a questionnaire estimating impact of disease on quality of family life: the Family Reported Outcome Measure - 16 (FROM-16). A standard forward and backward translation procedure was used to convert the original English version of FROM-16 into the Polish language. Creation of the Polish version was performed in a group of 30 patients' family members. The Polish language version of FROM-16 showed very good internal consistency reliability, the Cronbach α coefficient was 0.89. Reproducibility level was established with an intraclass correlation coefficient of 0.98. The Polish language version of FROM-16 can potentially be used as a tool to assess quality of life of patients' family members.

The psychosocial burden of hand eczema: Data from a European dermatological multicentre study.

BACKGROUND: The essential physical role, visibility and social importance of the hands place a major psychological burden on patients with hand eczema. OBJECTIVES: The aim of this study was to identify the psychological, social and clinical characteristics of patients with hand eczema, in particular the prevalences of depression, anxiety, suicidal ideation, and comorbidities. MATERIALS AND METHODS: Data on patients with hand eczema were analysed from a large European multicentre study conducted with dermatology outpatients from 13 countries. Groups of patients and controls were compared to analyse the psychological burden of hand eczema. RESULTS: Female patients with hand eczema had higher Hospital Anxiety and Depression Scale (HADS) scores for anxiety (n = 86, median = 7.0) than controls (n = 900, median = 5.0, P = .02), and for depression (median = 4.0) than controls (3.0, P < .001). Patients with high suicidal ideation, with low socioeconomic status and who were widowed or divorced were more likely to fulfil the HADS criteria for anxiety [odds ratio (OR) > 1, P = .038, P < .001, and P < .001, respectively]. The median Dermatology Life Quality Index score was 7.0 (n = 68). DISCUSSION: This study identifies a specific psychological burden experienced by hand eczema patients, highlighting the need for focused psychosocial interventions. Physicians in particular should be aware of the need to identify anxiety and depression in female patients.

Mapping of the DLQI scores to EQ-5D utility values using ordinal logistic regression.

PURPOSE: The Dermatology Life Quality Index (DLQI) and the European Quality of Life-5 Dimension (EQ-5D) are separate measures that may be used to gather health-related quality of life (HRQoL) information from patients. The EQ-5D is a generic measure from which health utility estimates can be derived, whereas the DLQI is a specialty-specific measure to assess HRQoL. To reduce the burden of multiple measures being administered and to enable a more disease-specific calculation of health utility estimates, we explored an established mathematical technique known as ordinal logistic regression (OLR) to develop an appropriate model to map DLQI data to EQ-5D-based health utility estimates. METHODS: Retrospective data from 4010 patients were randomly divided five times into two groups for the derivation and testing of the mapping model. Split-half cross-validation was utilized resulting in a total of ten ordinal logistic regression models for each of the five EQ-5D dimensions against age, sex, and all ten items of the DLQI. Using Monte Carlo simulation, predicted health utility estimates were derived and compared against those observed. This method was repeated for both OLR and a previously tested mapping methodology based on linear regression. RESULTS: The model was shown to be highly predictive and its repeated fitting demonstrated a stable model using OLR as well as linear regression. The mean differences between OLR-predicted health utility estimates and observed health utility estimates ranged from 0.0024 to 0.0239 across the ten modeling exercises, with an average overall difference of 0.0120 (a 1.6% underestimate, not of clinical importance). CONCLUSIONS: This modeling framework developed in this study will enable researchers to calculate EQ-5D health utility estimates from a specialty-specific study population, reducing patient and economic burden.

Equivalence of electronic and paper-based patient-reported outcome measures.

AIM: Electronic formats (ePROs) of paper-based patient-reported outcomes (PROs) should be validated before they can be reliably used. This review aimed to examine studies investigating measurement equivalence between ePROs and their paper originals to identify methodologies used and to determine the extent of such validation. METHODS: Three databases (OvidSP, Web of Science and PubMed) were searched using a set of keywords. Results were examined for compliance with inclusion criteria. Articles or abstracts that directly compared screen-based electronic versions of PROs with their validated paper-based originals, with regard to their measurement equivalence, were included. Publications were excluded if the only instruments reported were stand-alone visual analogue scales or interactive voice response formats. Papers published before 2007 were excluded, as a previous meta-analysis examined papers published before this time. RESULTS: Fifty-five studies investigating 79 instruments met the inclusion criteria. 53 % of the 79 instruments studied were condition specific. Several instruments, such as the SF-36, were reported in more than one publication. The most frequently reported formats for ePROs were Web-based versions. In 78 % of the publications, there was evidence of equivalence or comparability between the two formats as judged by study authors. Of the 30 publications that provided preference data, 87 % found that overall participants preferred the electronic format. CONCLUSIONS: When examining equivalence between paper and electronic versions of PROs, formats are usually judged by authors to be equivalent. Participants prefer electronic formats. This literature review gives encouragement to the further widespread development and use of ePROs.

Improving the Generalizability and Performance of an Ultrasound Deep Learning Model Using Limited Multicenter Data for Lung Sliding Artifact Identification.

Deep learning (DL) models for medical image classification frequently struggle to generalize to data from outside institutions. Additional clinical data are also rarely collected to comprehensively assess and understand model performance amongst subgroups. Following the development of a single-center model to identify the lung sliding artifact on lung ultrasound (LUS), we pursued a validation strategy using external LUS data. As annotated LUS data are relatively scarce-compared to other medical imaging data-we adopted a novel technique to optimize the use of limited external data to improve model generalizability. Externally acquired LUS data from three tertiary care centers, totaling 641 clips from 238 patients, were used to assess the baseline generalizability of our lung sliding model. We then employed our novel Threshold-Aware Accumulative Fine-Tuning (TAAFT) method to fine-tune the baseline model and determine the minimum amount of data required to achieve predefined performance goals. A subgroup analysis was also performed and Grad-CAM++ explanations were examined. The final model was fine-tuned on one-third of the external dataset to achieve 0.917 sensitivity, 0.817 specificity, and 0.920 area under the receiver operator characteristic curve (AUC) on the external validation dataset, exceeding our predefined performance goals. Subgroup analyses identified LUS characteristics that most greatly challenged the model's performance. Grad-CAM++ saliency maps highlighted clinically relevant regions on M-mode images. We report a multicenter study that exploits limited available external data to improve the generalizability and performance of our lung sliding model while identifying poorly performing subgroups to inform future iterative improvements. This approach may contribute to efficiencies for DL researchers working with smaller quantities of external validation data.

Potential of Halophytes as Sustainable Fodder Production by Using Saline Resources: A Review of Current Knowledge and Future Directions.

Good quality water and arable land are required for both domestic and agricultural uses. Increasing population leads to urbanization and industrialization increasing the need to share these resources and creating threats to the food supply. Higher meat consumption requires mitigation strategies to protect food and mitigate economic crises, especially in developing nations. The production of food crops for energy purposes and lower yield due to climate change increase food prices as well as have a negative impact on the economy. Thus, an alternative food source is required featuring high forage components to reduce grazing periods and to prevent rangeland degradation. Halophytes can tolerate high salinity and can be easily grown for fodder in coastal areas where fodder is a problem. Varied climate conditions offer opportunities to grow suitable halophytes for specific purposes. One important feature is their use as fodder. To reduce food shortages, saline areas could be used to grow nutritive and productive halophytic forage. Wild plants have undesirable metabolites produced in harsh conditions which may be harmful for ruminant health. Halophytes have moderate amounts of these metabolites which are nontoxic. Halophytes can be grown without intruding on agricultural lands and freshwater resources and could promote livestock production which may improve the socio-economic conditions of poor farmers in a sustainable and ecofriendly manner.

Exploring the bioremediation capability of petroleum-contaminated soils for enhanced environmental sustainability and minimization of ecotoxicological concerns.

The bioremediation of soils contaminated with petroleum hydrocarbons (PHCs) has emerged as a promising approach, with its effectiveness contingent upon various types of PHCs, i.e., crude oil, diesel, gasoline, and other petroleum products. Strategies like genetically modified microorganisms, nanotechnology, and bioaugmentation hold potential for enhancing remediation of polycyclic aromatic hydrocarbon (PAH) contamination. The effectiveness of bioremediation relies on factors such as metabolite toxicity, microbial competition, and environmental conditions. Aerobic degradation involves enzymatic oxidative reactions, while bacterial anaerobic degradation employs reductive reactions with alternative electron acceptors. Algae employ monooxygenase and dioxygenase enzymes, breaking down PAHs through biodegradation and bioaccumulation, yielding hydroxylated and dihydroxylated intermediates. Fungi contribute via mycoremediation, using co-metabolism and monooxygenase enzymes to produce CO2 and oxidized products. Ligninolytic fungi transform PAHs into water-soluble compounds, while non-ligninolytic fungi oxidize PAHs into arene oxides and phenols. Certain fungi produce biosurfactants enhancing degradation of less soluble, high molecular-weight PAHs. Successful bioremediation offers sustainable solutions to mitigate petroleum spills and environmental impacts. Monitoring and assessing strategy effectiveness are vital for optimizing biodegradation in petroleum-contaminated soils. This review presents insights and challenges in bioremediation, focusing on arable land safety and ecotoxicological concerns.

Meaning of Family Reported Outcome Measure (FROM-16) severity score bands: a cross-sectional online study in the UK.

OBJECTIVE: To assign clinical meanings to the Family Reported Outcome Measure (FROM-16) scores through the development of score bands using the anchor-based approach. DESIGN AND SETTING: A cross-sectional online study recruited participants through UK-based patient support groups, research support platforms (HealthWise Wales, Autism Research Centre-Cambridge University database, Join Dementia Research) and through social service departments in Wales. PARTICIPANTS: Family members/partners (aged ≥18 years) of patients with different health conditions. INTERVENTION: Family members/partners of patients completed the FROM-16 questionnaire and a Global Question (GQ). MAIN OUTCOME MEASURE: Various FROM-16 band sets were devised as a result of mapping of mean, median and mode of the GQ scores to FROM-16 total score, and receiver operating characteristic-area under the curve cut-off values. The band set with the best agreement with GQ based on weighted kappa was selected. RESULTS: A total of 4413 family members/partners (male=1533, 34.7%; female=2858, 64.8%; Prefer not to say=16, 0.4%; other=6, 0.14%) of people with a health condition (male=1994, 45.2%; female=2400, 54.4%; Prefer not to say=12, 0.3%; other=7, 0.16%) completed the online survey: mean FROM-16 score=15.02 (range 0-32, SD=8.08), mean GQ score=2.32 (range 0-4, SD=1.08). The proposed FROM-16 score bandings are: 0-1=no effect on the quality of life of family member; 2-8=small effect on family member; 9-16=moderate effect on family member; 17-25=very large effect on family member; 26-32=extremely large effect on family member (weighted kappa=0.60). CONCLUSION: The FROM-16 score descriptor bands provide new information to clinicians about interpreting scores and score changes, allowing better-informed treatment decisions for patients and their families. The score banding of FROM-16, along with a short administration time, demonstrates its potential to support holistic clinical practice.

Wolf in sheep's clothing: Primary orbital Ewing sarcoma in a child masquerading as internal angular dermoid.

Ewing sarcoma is one of the rare, highly malignant neuroectodermal tumors frequently involving bones. Primary orbital Ewing sarcoma is extremely uncommon. We report a rare case of a 5-year-old boy who presented to us with a painless, slow-growing mass above the medial canthus of the left eye, the clinical appearance of which was masquerading as an internal angular dermoid. The child was subsequently diagnosed to have primary orbital Ewing sarcoma. Primary orbital Ewing sarcoma is a rare tumor with poor prognosis, poses diagnostic challenges, and demands a high index of clinical suspicion.