JMIR dermatology最新文献

Background: TikTok, with more than 2 billion users worldwide, has become an influential venue for health information, including dermatologic advice. However, concerns remain about the accuracy and impact of sunscreen-related content.

Objective: This study aimed to assess the quality, accuracy, and themes of popular TikTok videos about sunscreen; evaluate associations with creator credentials and promotional content; and identify implications for public health.

Methods: We conducted a cross-sectional content analysis of the 100 most-liked English-language TikTok videos generated by the search term "sunscreen." Metadata, creator characteristics, Global Quality Score (GQS), accuracy, attitudes, promotional disclosures, and reference use were extracted using a structured codebook. Thematic and statistical analyses (ie, Pearson correlations, χ2, 2-tailed t tests, and ANOVA) were conducted, with significance defined as P<.05.

Results: Of the top 100 videos, 74 (74%) expressed a positive attitude toward sunscreen, 35 (35%) were accurate, 57 (57%) were opinion based, and 6 (6%) were inaccurate. None of the videos cited references. GQS ratings were low: 40 (40%) videos were rated poor (score=1), 31 (31%) below average (score=2), and only 2 (2%) excellent (score=5). Promotional content appeared in 27 (27%) videos. Accuracy was negatively correlated with likes (r=-0.229; P=.02) and views (r=-0.242; P=.02), while GQS correlated positively with accuracy (r=0.270; P=.007) but not with engagement. Likes and views were strongly correlated (r=0.726; P<.001).

Conclusions: Despite broadly positive sentiment toward sunscreen, misinformation and promotional bias are common in highly engaged TikTok videos, and user engagement is often unrelated to accuracy or educational quality. Dermatologists and public health experts must proactively engage on social platforms to counter misinformation and promote reliable skin health information.

Background: Laser hair removal is a noninvasive cosmetic procedure that targets melanin in hair follicles through selective photothermolysis.

Objective: This study aims to evaluate the long-term efficacy and safety of the 755-nm alexandrite laser for axillary hair removal by comparing single- and dual-flash lamp systems.

Methods: In total, 40 women aged 20 to 35 years with Fitzpatrick skin types II and III participated in a study on laser hair removal for their axillae. Participants underwent 3 treatment sessions, each spaced 4 weeks apart, from January to April 2024. They were divided into 2 groups, both receiving treatments with an alexandrite laser (755 nm, 14 mm spot size). The first group was treated with a dose of 8 J/cm² using a single-flash lamp device operating at 5 Hz, with a pulse duration of 10 ms. The second group received doses between 9 and 11 J/cm² from a dual-flash lamp device operating at 2.5 Hz, with pulse durations ranging from 10 to 15 ms. Photographs and hair counts were taken at baseline and 1 month after the final session. A 2-tailed t test was used to assess statistical significance, and regression analysis evaluated treatment effects. Pain scores and side effects were assessed using a visual analog scale in a satisfaction questionnaire.

Results: The dual-flash lamp laser achieved an overall hair reduction of 94%, while the single-flash lamp laser resulted in a 91% reduction in the axilla. The difference was not statistically significant (P=.14). No serious adverse effects were reported with either device, indicating effective safety features.

Conclusions: The outcomes show that both systems provide similar results in terms of efficacy and safety, with no reported side effects, and results were maintained even after 6 and 12 months of follow-up.

Unlabelled: This single-center retrospective case series included 28 patients with alopecia (7 with lichen planopilaris, 7 with discoid lupus erythematosus, and 14 with alopecia areata). Trichoscopic markers were systematically compared across groups. Exclamation-mark hairs and yellow dots were characteristic of alopecia areata, whereas follicular ostia loss and white scarring were confined to lichen planopilaris/discoid lupus erythematosus, providing a simple and practical distinction between nonscarring and scarring alopecias in routine practice.

Unlabelled: Chronic spontaneous urticaria (CSU) is an autoimmune prompted skin disorder, whose hallmarks include the unpredictable onset of hives and itch. Symptom duration typically exceed 6 weeks, and flares can occur for up to 5 years or longer if untreated, impacting potentially any area of the body. The absence of obvious triggers and the variation in onset frequency often delays formal diagnosis which on average is approximately 2 years from first presentation. Initial standard of care is the use of low through to higher strength antihistamines in the first instance, with eventual escalation to prescription anti-inflammatory agents and potentially biologics once patients are under managed care. The societal impacts of delays in diagnosis are marked, with data suggesting CSU impacts up to 1% of the population, primarily of working age and with twice the prevalence in women. Herein, we advocate for the deployment of smartphone imaging and generative artificial intelligence technology to improve detection and early management of CSU through integrated self-care approaches. Such approaches embodying the tenets of P4 personalized medicine could have sustained impact on the disease through awareness campaigns, reducing the burden on the dermatology community and facilitating earlier access to curative therapeutic interventions.

Unlabelled: This cross-sectional content analysis found that Instagram's hashtag-based reels display consistent dermatologic content regardless of user engagement history, supporting the use of hashtags as an objective and reproducible tool for social media research in dermatology.

Background: Acral persistent papular mucinosis (APPM) is a localized variant of lichen myxedematosus (LM) characterized by asymptomatic, flesh-colored papules primarily distributed on the hands and forearms. This chronic dermatosis, distinct from generalized mucinosis due to its lack of systemic involvement, remains underreported in medical literature.

Objective: In this study, we present two cases of APPM to the limited pool of documented cases in the United States, highlighting its emerging recognition.

Methods: This is a case series of two patients presenting with asymptomatic papular eruptions on the hands and wrists, consistent with the typical presentation of APPM. Diagnostic confirmation via biopsy revealed focal cutaneous mucinosis. Comprehensive laboratory evaluations, including serum and urine protein electrophoresis, showed no evidence of underlying gammopathy in either patient.

Results: Treatment modalities for APPM are limited and often ineffective. Unlike other forms of LM, APPM features are confined to skin lesions, posing primarily as a cosmetic concern with a favorable prognosis. Accurate diagnosis of this localized LM is crucial to differentiate it from the more severe, generalized form, scleromyxedema, which can have organ involvement and may become fatal. Notably, while spontaneous resolution is reported in LM, including discrete papular mucinosis, APPM typically persists without resolution even after extended follow-up.

Conclusions: These cases underscore the importance of recognizing APPM and advocating for broader awareness and exploration of its clinical variability, etiology, and management strategies. With increasing recognition, the understanding of APPM can be enhanced, paving the way for optimized management and improved outcomes for affected individuals.

Unlabelled: A comparison of dermatological cases generated by artificial intelligence (AI) versus those created without AI by medical students revealed that AI-created cases were characterized by detailed case descriptions, analysis of medical history, and clinical examinations, but lacked the depth, clinical relevance, and motivational elements found in non-AI cases, which were shorter, presented clinical dilemmas, and included challenging scenarios that students found more educational and engaging.

Background: Artificial intelligence (AI) and telemedicine have significant potential to transform dermatology care delivery, but patient perspectives on these technologies have not been systematically compared.

Objective: This study aimed to examine patient perspectives on AI and telemedicine in dermatology to inform implementation strategies as these technologies increasingly converge in clinical practice.

Methods: A comprehensive literature search was conducted using PubMed, Scopus, and Embase databases between August 2024 and October 2024. We identified 48 papers addressing patient perspectives on AI and telemedicine in dermatology, with none directly comparing patients' views of both technologies.

Results: Several distinct themes emerged regarding patient perspectives on these technologies: willingness to use, perceived benefits and risks, barriers to implementation, and conditions necessary for successful integration. Findings revealed that patients express hesitancy toward AI-based diagnoses that lack dermatologist involvement, while preferences for teledermatology varied by reason for appointment, age, and previous technology exposure. Patients' motivations for implementing AI are connected to its potential for quicker diagnoses and improved triage efficiency. At the same time, telemedicine addresses logistical challenges such as reduced travel time and improved appointment availability. Both technologies were perceived to improve accessibility and diagnostic efficiency, though patients expressed concerns about AI's limited communication abilities and teledermatology's inability to perform physical examinations. Primary adoption barriers for these modalities included technological limitations and trust concerns, with patients emphasizing the need for dermatologist oversight, transparency, and adequate educational resources for successful integration.

Conclusions: The complementary strengths of AI and teledermatology suggest they could mitigate each other's limitations when integrated-AI potentially enhancing teledermatology's diagnostic accuracy, while teledermatology addresses AI's lack of human connection. By thoroughly examining these perspectives, this review may serve as a guide for the patient-centered integration of technology in the future landscape of accessible dermatologic care.

Background: Xylazine has been associated with skin wounds. The rising prevalence of xylazine and its debated role in wound causation have sparked concerns among public health professionals, medical experts, and people who use drugs.

Objective: This study used a qualitative evaluation of Reddit posts to understand the experiences of people who use drugs concerning xylazine-associated wounds.

Methods: This study explored xylazine discussions on Reddit. Data were collected from 930+ drug-related subreddits via the PRAW Python application programming interface, and natural language processing methods were employed to identify posts that mentioned xylazine and wound-related keywords. Retrieved posts were manually coded for thematic analysis, and a term frequency-inverse document frequency analysis was performed per theme to obtain additional insights.

Results: The manual classification of 286 posts revealed predominant themes related to the pathophysiology of xylazine, wound locations on the body, and management strategies. The 3 most frequent xylazine wound-related themes were "Mechanisms of xylazine-associated wounds" (84 posts, 29.4%), "Geographic region" (67, 23.4%), and "Location of wounds on the body" (56, 19.6%). The analysis showed xylazine's presence in the discussions among Reddit's drug-using communities, with a notable focus on wound management and geographic trends. The term frequency-inverse document frequency analysis revealed prominent lexical markers within each theme.

Conclusions: The findings suggest that social media platforms such as Reddit can serve as valuable resources for understanding emerging health issues such as xylazine-associated wounds. The study's findings highlight patterns of use, the characteristics of wounds on people who use drugs, and discussions about wound management. This study adds to a growing body of literature using social media to understand the consequences of emerging drugs on human health.

Unlabelled: We reviewed 30 of the top-viewed Instagram videos using the hashtags #retinoid and #retinol to assess reliability using the DISCERN instrument. Dermatologists produced more accurate content than laypeople, though important details such as treatment risks were often omitted. Our findings highlight the need for health professionals to balance accessibility with accuracy to provide trustworthy dermatologic information on social media.