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Rheumatology Advances in Practice 2024This study contributes to the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA)'s effort to define 'difficult-to-treat' PsA (D2T-PsA),...
OBJECTIVES
This study contributes to the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA)'s effort to define 'difficult-to-treat' PsA (D2T-PsA), leveraging insights of healthcare professionals who are GRAPPA members. The primary objective is to inform GRAPPA's D2T PsA project, ensuring the consensus definition reflects clinical experience and expertise.
METHODS
An online survey was conducted among GRAPPA's healthcare professionals managing PsA patients. The survey covered demographic details, structured questions, and open-ended queries to gather comprehensive insights into the experts' viewpoints.
RESULTS
About 223 physicians completed the survey, comprising 179 (80.2%) rheumatologists and 40 (17.9%) dermatologists. The majority, 184 (82.5%), favoured establishing distinct definitions for D2T-PsA and complex-to-manage PsA (C2M-PsA). Furthermore, 202 (90.5%) supported a definition that includes objective inflammation signs (clinical, laboratory, imaging, among others). However, opinions varied on the criteria for prior treatment failures, with most (93, 41.7%) favouring a definition that includes at least one conventional synthetic disease-modifying anti-rheumatic drug and two or more biological- or targeted-synthetic-DMARDs with different mechanisms of action.
CONCLUSION
The survey reveals a majority opinion among GRAPPA experts favouring the differentiation between D2T-PsA and C2M-PsA, and the inclusion of objective inflammatory markers in these definitions. However, there is less than 50% agreement on the specific treatment failure criteria, particularly regarding the number of therapies needed to classify PsA as D2T. These findings suggest a need for continued discussion to reach a more unified approach in defining D2T-PsA, reflecting the complexity of the condition.
PubMed: 38912423
DOI: 10.1093/rap/rkae074 -
The Journal of Clinical and Aesthetic... Jun 2024Patch testing is the standard diagnostic test used for patients presenting with symptoms of allergic contact dermatitis. The grading of patch test results classically...
Patch testing is the standard diagnostic test used for patients presenting with symptoms of allergic contact dermatitis. The grading of patch test results classically varies from 1 to 3. The assessment of these results begins with a visual inspection of the presence of erythema, vesiculation, and induration. This leads to a subjectivity in visual evaluation of a patch test. Positive patch testing results can present differently in patients with darker skin tones. A greater variety of images of allergic contact dermatitis in patients with darker skin phototypes can better guide the diagnosis of this condition in skin of color. People with darker phototypes are historically underrepresented in dermatologic images and texts; thus, identifying erythema in darker phototypes may be more difficult for dermatologists, whether or not they were trained in areas of decreased phototype diversity. In this article, we present positive patch testing findings on several different phototypes, with the intention of contributing to images of phototypes underrepresented in dermatology literature.
PubMed: 38912195
DOI: No ID Found -
Aesthetic Surgery Journal. Open Forum 2024The increasing demand for skin quality interventions in aesthetic medicine underscores the necessity for objective, evidence-based assessment tools that may be used to...
BACKGROUND
The increasing demand for skin quality interventions in aesthetic medicine underscores the necessity for objective, evidence-based assessment tools that may be used to evaluate novel interventions or devices.
OBJECTIVES
To develop and validate a 5-point photonumeric rating scale for assessing overall skin quality, including radiance, color evenness, and smoothness.
METHODS
The IBSA (Institut Biochimique SA) Composite Skin Quality Scale was developed and underwent live validation with 88 real-world patients, chosen to encompass a broad spectrum of skin qualities and Fitzpatrick skin types. Scale validation was performed by board-certified plastic surgeons and dermatologists over 2 rounds, 2 weeks apart. Reliability was assessed through intrarater and interrater agreements, utilizing weighted kappa statistics and intraclass correlation coefficient (ICC). The scale's ability to discern a clinically relevant 1-grade difference was evaluated with 72 photo pairs.
RESULTS
Combined intrarater reliability results showed weighted kappa values of 0.812 (right side) and 0.815 (left side) and an ICC of 0.903 for both sides, indicating an almost perfect agreement. Interrater reliability ranged from substantial to almost perfect, with kappa coefficients between 0.654 and 0.853 and ICCs between 0.657 and 0.855 across all rater pairs in both rounds. The ability to detect a clinically relevant 1-point difference using the scale was established.
CONCLUSIONS
Integrating various key aspects of skin quality, the IBSA Composite Skin Quality Scale is a clinically relevant and highly reliable tool, suitable for skin assessment in clinical studies of new aesthetic technologies and products.
PubMed: 38912092
DOI: 10.1093/asjof/ojae038 -
JMIR Medical Informatics Jun 2024Dermoscopy is a growing field that uses microscopy to allow dermatologists and primary care physicians to identify skin lesions. For a given skin lesion, a wide variety...
BACKGROUND
Dermoscopy is a growing field that uses microscopy to allow dermatologists and primary care physicians to identify skin lesions. For a given skin lesion, a wide variety of differential diagnoses exist, which may be challenging for inexperienced users to name and understand.
OBJECTIVE
In this study, we describe the creation of the dermoscopy differential diagnosis explorer (D3X), an ontology linking dermoscopic patterns to differential diagnoses.
METHODS
Existing ontologies that were incorporated into D3X include the elements of visuals ontology and dermoscopy elements of visuals ontology, which connect visual features to dermoscopic patterns. A list of differential diagnoses for each pattern was generated from the literature and in consultation with domain experts. Open-source images were incorporated from DermNet, Dermoscopedia, and open-access research papers.
RESULTS
D3X was encoded in the OWL 2 web ontology language and includes 3041 logical axioms, 1519 classes, 103 object properties, and 20 data properties. We compared D3X with publicly available ontologies in the dermatology domain using a semiotic theory-driven metric to measure the innate qualities of D3X with others. The results indicate that D3X is adequately comparable with other ontologies of the dermatology domain.
CONCLUSIONS
The D3X ontology is a resource that can link and integrate dermoscopic differential diagnoses and supplementary information with existing ontology-based resources. Future directions include developing a web application based on D3X for dermoscopy education and clinical practice.
PubMed: 38904996
DOI: 10.2196/49613 -
Skin Research and Technology : Official... Jun 2024To evaluate the efficacy and safety of stromal vascular fraction (SVF), platelet rich plasma (PRP), and 1064-nm Q-switched Nd:YAG laser in reducing nanofat treated dark... (Randomized Controlled Trial)
Randomized Controlled Trial Comparative Study
The investigation and comparison of the efficacy and safety of stromal vascular fraction (SVF), platelet rich plasma (PRP), and 1064-nm Q-switched Nd:YAG laser in reducing nanofat treated infraorbital dark circles and wrinkles: A controlled blinded randomized clinical trial.
BACKGROUND
To evaluate the efficacy and safety of stromal vascular fraction (SVF), platelet rich plasma (PRP), and 1064-nm Q-switched Nd:YAG laser in reducing nanofat treated dark circles and wrinkles under the eyes.
METHOD
This study was a single-blinded randomized clinical trial conducted on patients with suborbital darkening under the eyes that randomly divided into control and case groups. In the control group, 15 patients were treated with one session of nanofat injection only, and five patients of each intervention groups received one session of nanofat+SVF injection, nanofat+PRP injection, and nanofat injection+Nd:YAG laser, respectively. Assessments methods were (1) evaluation of the degree of darkness and repair under the eyes by a blinded dermatologist based on clinical photographs, (2) investigating patient satisfaction, (3) using biometric variables for color, thickness, and density of the skin (only 3 months after the treatment), and (4) recording the possible adverse effects.
CONCLUSION
In terms of the extent of reduction in the intensity of darkness under the eyes, the combined treatment of nanofat injection together with SVF, PRP, and Nd:YAG laser had a much greater therapeutic effect than nanofat injection alone. In all three groups of combined treatments, patients were 100% satisfied. In terms of biometric variables, amount of changes in colorimeter, complete and dermal thickness, complete and dermal density, between the different groups was statistically significant. The use of combined treatments including nanofat with SVF injection, PRP, and 1064 Q-switched Nd:YAG laser may be more effective than nanofat alone, in reducing infraorbital dark circles and wrinkles.
Topics: Humans; Skin Aging; Female; Lasers, Solid-State; Platelet-Rich Plasma; Middle Aged; Single-Blind Method; Adult; Cosmetic Techniques; Treatment Outcome; Male; Patient Satisfaction
PubMed: 38899793
DOI: 10.1111/srt.13793 -
Human Vaccines & Immunotherapeutics Dec 2024The burden of herpes zoster (HZ) is anticipated to increase among the aging population of China over time. The knowledge, attitudes, and practices (KAP) of the...
Knowledge, attitudes, and practices of the general population, herpes zoster patients, and dermatologists toward herpes zoster in China: A quantitative cross-sectional survey.
The burden of herpes zoster (HZ) is anticipated to increase among the aging population of China over time. The knowledge, attitudes, and practices (KAP) of the population toward HZ can help inform the design of public health strategies. As there is a paucity of KAP data in China, this cross-sectional survey therefore sought to assess KAP related to HZ from the general population, patients with HZ, and dermatologists in China. The total number of respondents from the general population, HZ patients, and dermatologists were 804, 282, and 160, respectively. Notably, some gaps in knowledge regarding the severity, transmission, and prevention of HZ were identified across all groups. For example, less than half of respondents from the general population and HZ patients understood that vaccination does not treat HZ. For dermatologists, not all were aware of adverse reactions following HZ vaccination and some had misconceptions regarding the mode of transmission of HZ. Given the link between an individual's disease knowledge to their attitudes and practices, improved understanding of HZ could underlie positive attitudes and help reinforce healthcare professionals' recommendations in the management and prevention of HZ. In particular, doctors may be well-positioned to support HZ prevention initiatives, as most of the general population and HZ patients found vaccination more acceptable if recommended by a doctor (78.9% and 81.6%, respectively). Therefore, consideration of these KAP attributes may support the development of targeted educational interventions and effective public health strategies against HZ in China.
Topics: Humans; Herpes Zoster; Cross-Sectional Studies; China; Health Knowledge, Attitudes, Practice; Male; Female; Middle Aged; Adult; Dermatologists; Aged; Surveys and Questionnaires; Young Adult; Herpes Zoster Vaccine; Vaccination; Adolescent
PubMed: 38898574
DOI: 10.1080/21645515.2024.2338980 -
Diagnostics (Basel, Switzerland) May 2024This survey represents the first endeavor to assess the clarity of the dermoscopic language by a chatbot, unveiling insights into the interplay between dermatologists...
This survey represents the first endeavor to assess the clarity of the dermoscopic language by a chatbot, unveiling insights into the interplay between dermatologists and AI systems within the complexity of the dermoscopic language. Given the complex, descriptive, and metaphorical aspects of the dermoscopic language, subjective interpretations often emerge. The survey evaluated the completeness and diagnostic efficacy of chatbot-generated reports, focusing on their role in facilitating accurate diagnoses and educational opportunities for novice dermatologists. A total of 30 participants were presented with hypothetical dermoscopic descriptions of skin lesions, including dermoscopic descriptions of skin cancers such as BCC, SCC, and melanoma, skin cancer mimickers such as actinic and seborrheic keratosis, dermatofibroma, and atypical nevus, and inflammatory dermatosis such as psoriasis and alopecia areata. Each description was accompanied by specific clinical information, and the participants were tasked with assessing the differential diagnosis list generated by the AI chatbot in its initial response. In each scenario, the chatbot generated an extensive list of potential differential diagnoses, exhibiting lower performance in cases of SCC and inflammatory dermatoses, albeit without statistical significance, suggesting that the participants were equally satisfied with the responses provided. Scores decreased notably when practical descriptions of dermoscopic signs were provided. Answers to BCC scenario scores in the diagnosis category (2.9 ± 0.4) were higher than those with SCC (2.6 ± 0.66, = 0.005) and inflammatory dermatoses (2.6 ± 0.67, = 0). Similarly, in the teaching tool usefulness category, BCC-based chatbot differential diagnosis received higher scores (2.9 ± 0.4) compared to SCC (2.6 ± 0.67, = 0.001) and inflammatory dermatoses (2.4 ± 0.81, = 0). The abovementioned results underscore dermatologists' familiarity with BCC dermoscopic images while highlighting the challenges associated with interpreting rigorous dermoscopic images. Moreover, by incorporating patient characteristics such as age, phototype, or immune state, the differential diagnosis list in each case was customized to include lesion types appropriate for each category, illustrating the AI's flexibility in evaluating diagnoses and highlighting its value as a resource for dermatologists.
PubMed: 38893694
DOI: 10.3390/diagnostics14111165 -
Diagnostics (Basel, Switzerland) May 2024The diagnosis and identification of melanoma are not always accurate, even for experienced dermatologists. Histopathology continues to be the gold standard, assessing...
The diagnosis and identification of melanoma are not always accurate, even for experienced dermatologists. Histopathology continues to be the gold standard, assessing specific parameters such as the Breslow index. However, it remains invasive and may lack effectiveness. Therefore, leveraging mathematical modeling and informatics has been a pursuit of diagnostic methods favoring early detection. Fractality, a mathematical parameter quantifying complexity and irregularity, has proven useful in melanoma diagnosis. Nonetheless, no studies have implemented this metric to feed artificial intelligence algorithms for the automatic classification of dermatological lesions, including melanoma. Hence, this study aimed to determine the combined utility of fractal dimension and unsupervised low-computational-requirements machine learning models in classifying melanoma and non-melanoma lesions. We analyzed 39,270 dermatological lesions obtained from the International Skin Imaging Collaboration. Box-counting fractal dimensions were calculated for these lesions. Fractal values were used to implement classification methods by unsupervised machine learning based on principal component analysis and iterated K-means (100 iterations). A clear separation was observed, using only fractal dimension values, between benign or malignant lesions (sensibility 72.4% and specificity 50.1%) and melanoma or non-melanoma lesions (sensibility 72.8% and specificity 50%) and subsequently, the classification quality based on the machine learning model was ≈80% for both benign and malignant or melanoma and non-melanoma lesions. However, the grouping of metastatic melanoma versus non-metastatic melanoma was less effective, probably due to the small sample size included in MM lesions. Nevertheless, we could suggest a decision algorithm based on fractal dimension for dermatological lesion discrimination. On the other hand, it was also determined that the fractal dimension is sufficient to generate unsupervised artificial intelligence models that allow for a more efficient classification of dermatological lesions.
PubMed: 38893659
DOI: 10.3390/diagnostics14111132 -
International Journal of Molecular... May 2024Dermatology and cosmetology currently prioritize healthy, youthful-looking skin. As a result, research is being conducted worldwide to uncover natural substances and...
Dermatology and cosmetology currently prioritize healthy, youthful-looking skin. As a result, research is being conducted worldwide to uncover natural substances and carriers that allow for controlled release, which could aid in the battle against a variety of skin illnesses and slow the aging process. This study examined the biological and physicochemical features of novel hydrogels containing cannabidiol (CBD) and α-terpineol (TER). The hydrogels were obtained from ε-caprolactone (CL) and poly(ethylene glycol) (PEG) copolymers, diethylene glycol (DEG), poly(tetrahydrofuran) (PTHF), 1,6-diisocyanatohexane (HDI), and chitosan (CHT) components, whereas the biodegradable oligomers were synthesized using the enzyme ring-opening polymerization (e-ROP) method. The in vitro release rate of the active compounds from the hydrogels was characterized by mainly first-order kinetics, without a "burst release". The antimicrobial, anti-inflammatory, cytotoxic, antioxidant, and anti-aging qualities of the designed drug delivery systems (DDSs) were evaluated. The findings indicate that the hydrogel carriers that were developed have the ability to scavenge free radicals and impact the activity of antioxidant enzymes while avoiding any negative effects on keratinocytes and fibroblasts. Furthermore, they have anti-inflammatory qualities by impeding protein denaturation as well as the activity of proteinase and lipoxygenase. Additionally, their ability to reduce the multiplication of pathogenic bacteria and inhibit the activity of collagenase and elastase has been demonstrated. Thus, the developed hydrogel carriers may be effective systems for the controlled delivery of CBD, which may become a valuable tool for cosmetologists and dermatologists.
Topics: Hydrogels; Cannabidiol; Skin; Humans; Cyclohexane Monoterpenes; Antioxidants; Regeneration; Polymers; Biocompatible Materials; Keratinocytes; HaCaT Cells; Drug Carriers; Drug Delivery Systems; Anti-Infective Agents
PubMed: 38892121
DOI: 10.3390/ijms25115934 -
International Journal of Women's... Jun 2024In the last 15 years, an increase in U.S. female dermatologists from 41 to 52.2% and a surge in female authorship (FAP) have been noted. Authorship is a pivotal...
BACKGROUND
In the last 15 years, an increase in U.S. female dermatologists from 41 to 52.2% and a surge in female authorship (FAP) have been noted. Authorship is a pivotal objective measurement of academic productivity and, contribution as first or senior author, plays a major role in the promotion process of active physicians and faculty members.
OBJECTIVE
To validate, analyze, and clarify trends in FAP in high-quality dermatology research in the last 15 years.
METHODS
The Thomson Reuters Web of Science Journal Citation Reports 2021 was used to retrieve the 100 most-cited original articles from the top 5 dermatology journals (determined by 2021 impact factors) in 5 consecutive 3-year intervals between 2009 and 2023. Gender application programming interface, a gender algorithm, was used to identify FAP according to country of origin and first name. Monotonic trend test significance level was set at 5%.
RESULTS
In total, 14,187 articles were retrieved and subdivided into the 100 most-cited in 3-year intervals. A total of 418 first and 447 senior authors' gender were identified. FAP was found in 43%, 31%, and 37% of the first, last, and total authors. Trend analysis revealed a decrease in the last 15 years ( = -4610, = .068) in senior FAP. Similarly, the trend persists in the United States ( = -1606, = .052).
LIMITATIONS
Due to the usage of a binary gender identification algorithm, Nonbinary gender could not be identified in this analysis.
CONCLUSION
The last 15 years show an inverse relationship, with an increase in female dermatologists and a decrease in senior FAP in high-quality journals in the general dermatology community.
PubMed: 38884064
DOI: 10.1097/JW9.0000000000000160