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Cureus Feb 2024The role of diet in the development of skin disorders is well-established, with nutritional deficiency often identified as a risk factor for skin diseases. Imbalances in... (Review)
Review
The role of diet in the development of skin disorders is well-established, with nutritional deficiency often identified as a risk factor for skin diseases. Imbalances in the skin can be caused by nutritional deficiencies, excessive intake, insufficient nutrients, and hazardous ingredients. Patients frequently inquire about the impact of dietary patterns on skin health when consulting dermatologists in clinical settings. Simultaneously, the popularity of using nutritional supplements containing vitamins, minerals, and nutraceutical blends has been on the rise. It is crucial for dermatologists, primary care physicians, and other healthcare providers to be acquainted with evidence-based dietary interventions, distinguishing them from those that are more market-driven than truly efficacious. This review explores the modification of diet, encompassing both dietary exclusion and supplementation, as a therapeutic approach for conditions such as psoriasis, atopic dermatitis, bullous disease, vitiligo, and alopecia areata. A comprehensive literature search, utilizing the PubMed/Medline, Google Scholar, and Medscape databases, was conducted to investigate the relationship between each nutrient and various inflammatory skin diseases. The findings emphasize the significance of a well-balanced and thoughtfully planned diet in supplying adequate amounts of proteins, vitamins, and minerals to support optimal skin health. Additionally, this comprehensive review navigates through various dietary recommendations, offering insights into their multifaceted impacts on the immune system, gut microbiome, and skin health. The goal is to pave the way for informed and targeted dietary interventions for individuals dealing with food allergies and associated skin conditions.
PubMed: 38562266
DOI: 10.7759/cureus.55282 -
Clinics in Dermatology Jun 2024Dermatologists treating patients with Autoimmune Bullous Dermatoses (AIBDs), as well as the patients themselves, encounter challenges at every stage of their...
Dermatologists treating patients with Autoimmune Bullous Dermatoses (AIBDs), as well as the patients themselves, encounter challenges at every stage of their interaction, including dermatological and comorbidities assessment, diagnosis, prognosis evaluation, treatment, and follow-up monitoring. We summarize the current and potential future clinical applications of artificial intelligence (AI) in the field of AIBDs. Recent research and AI models have demonstrated their potential to enhance or may already be contributing to advancements in every phase of the comprehensive diagnosis and personalized treatment process in AIBDs, providing patients, clinicians, and administrators with valuable support. Image recognition AI systems might assist precise clinical diagnoses of various diseases, including AIBDs, and could offer consistent and reliable scoring of disease severity. Automated and standardized AI-assisted laboratory methods could improve the accuracy and decrease the time and cost of gold-standard tests such as direct and indirect immunofluorescence. The studies and tools discussed in this article, although in the early stages, might be a small precursor to a transformative shift in the way we take care of patients with chronic skin diseases, including AIBDs.
PubMed: 38914175
DOI: 10.1016/j.clindermatol.2024.06.008 -
Lasers in Medical Science Jan 2024The purpose of this review is to consolidate and summarize laser-assisted drug delivery (LADD) for nail diseases, particularly onychomycosis and psoriasis. A PubMed... (Review)
Review
The purpose of this review is to consolidate and summarize laser-assisted drug delivery (LADD) for nail diseases, particularly onychomycosis and psoriasis. A PubMed search was conducted in June 2023 using search terms (1) "laser assisted drug delivery" AND "nail," (2) "laser" AND "nail," and (3) "nail disorder" AND "laser treatment." References of papers were also reviewed, yielding 15 papers for this review. Fractional ablative CO laser (FACL) and Er:YAG laser can be used for LADD of topical medications such as amorolfine, terbinafine, and tioconazole to treat onychomycosis. A fungal culture should be performed to determine the type of dermatophyte, which will help determine which topical will be most effective. Laser settings varied between studies, but overall LADD tended to be more effective than topical treatments alone. Laser-assisted photodynamic therapy (PDT) was also found to be effective in treating onychomycosis. For psoriatic nails, LADD was used to deliver calcipotriol-betamethasone dipropionate foam, tazarotene, triamcinolone, or methotrexate into the nail. Again, LADD was found to be significantly more effective than topical treatment alone. FACL was the only laser noted for use for LADD in both diseases. Laser-assisted drug delivery for nail disease is a newer approach for onychomycosis and nail psoriasis with several benefits and drawbacks. Dermatologists should discuss the option of LADD with their patients who have recalcitrant onychomycosis or nail psoriasis.
Topics: Humans; Onychomycosis; Pharmaceutical Preparations; Antifungal Agents; Nail Diseases; Psoriasis; Administration, Topical; Lasers, Gas; Treatment Outcome
PubMed: 38240827
DOI: 10.1007/s10103-024-03992-6 -
European Journal of Case Reports in... 2023Rumpel-Leede phenomenon is a rarely diagnosed entity that can be seen in patients following the application of tourniquet-like forces to the extremities. This phenomenon...
UNLABELLED
Rumpel-Leede phenomenon is a rarely diagnosed entity that can be seen in patients following the application of tourniquet-like forces to the extremities. This phenomenon describes petechiae and purpura secondary to venous compression and congestion, with its underlying aetiology involving the fragility of capillary vessels within the dermis. This condition is associated with chronic medical conditions such as diabetes mellitus, hypertension, dyslipidemia, peripheral vascular disease and systemic inflammatory diseases, including infections. In addition, patients with coagulopathy including thrombocytopenia or platelet dysfunction from antiplatelet use, or those with thrombotic thrombocytopenic purpura and idiopathic thrombocytopenic purpura, are predisposed to capillary haemorrhage and petechiae formation. In this report, we present a case of a patient who developed Rumpel-Leede phenomenon following catheterisation of the right radial artery with spontaneous resolution - where only five cases have been reported to date - with the aim to make clinicians aware of this condition and to avoid unnecessary interventions.
LEARNING POINTS
Rumpel-Leede phenomenon is a benign condition that can be seen after tourniquet-like compression of a limb in those with capillary fragility.Dermatologists and other practitioners should remain aware of the phenomenon, helping to avoid unnecessary investigation.Rumpel-Leede phenomenon self-resolves, with only supportive treatment required with no reported lingering effects to date.
PubMed: 37554476
DOI: 10.12890/2023_003990 -
Cancers Sep 2023Melanoma, the deadliest form of skin cancer, poses a significant public health challenge worldwide. Early detection is crucial for improved patient outcomes.... (Review)
Review
BACKGROUND
Melanoma, the deadliest form of skin cancer, poses a significant public health challenge worldwide. Early detection is crucial for improved patient outcomes. Non-invasive skin imaging techniques allow for improved diagnostic accuracy; however, their use is often limited due to the need for skilled practitioners trained to interpret images in a standardized fashion. Recent innovations in artificial intelligence (AI)-based techniques for skin lesion image interpretation show potential for the use of AI in the early detection of melanoma.
OBJECTIVE
The aim of this study was to evaluate the current state of AI-based techniques used in combination with non-invasive diagnostic imaging modalities including reflectance confocal microscopy (RCM), optical coherence tomography (OCT), and dermoscopy. We also aimed to determine whether the application of AI-based techniques can lead to improved diagnostic accuracy of melanoma.
METHODS
A systematic search was conducted via the Medline/PubMed, Cochrane, and Embase databases for eligible publications between 2018 and 2022. Screening methods adhered to the 2020 version of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Included studies utilized AI-based algorithms for melanoma detection and directly addressed the review objectives.
RESULTS
We retrieved 40 papers amongst the three databases. All studies directly comparing the performance of AI-based techniques with dermatologists reported the superior or equivalent performance of AI-based techniques in improving the detection of melanoma. In studies directly comparing algorithm performance on dermoscopy images to dermatologists, AI-based algorithms achieved a higher ROC (>80%) in the detection of melanoma. In these comparative studies using dermoscopic images, the mean algorithm sensitivity was 83.01% and the mean algorithm specificity was 85.58%. Studies evaluating machine learning in conjunction with OCT boasted accuracy of 95%, while studies evaluating RCM reported a mean accuracy rate of 82.72%.
CONCLUSIONS
Our results demonstrate the robust potential of AI-based techniques to improve diagnostic accuracy and patient outcomes through the early identification of melanoma. Further studies are needed to assess the generalizability of these AI-based techniques across different populations and skin types, improve standardization in image processing, and further compare the performance of AI-based techniques with board-certified dermatologists to evaluate clinical applicability.
PubMed: 37835388
DOI: 10.3390/cancers15194694 -
The Keio Journal of Medicine Jul 2023The hair follicle is an appendage of the skin that undergoes hair cycles throughout life. Recently, numerous genes expressed in the hair follicles have been identified,...
The hair follicle is an appendage of the skin that undergoes hair cycles throughout life. Recently, numerous genes expressed in the hair follicles have been identified, and variants in some of these genes are now known to underlie hereditary hair diseases in humans. Hereditary hair diseases are classified into non-syndromic and syndromic forms. In the Japanese population, the non-syndromic form of autosomal recessive woolly hair, which is caused by founder pathogenic variants in the lipase H (LIPH) gene, is the most prevalent hereditary hair disease. In addition, other types of hereditary hair diseases are known in Japan, such as Marie-Unna hereditary hypotrichosis, hypohidrotic ectodermal dysplasia, and tricho-rhino-phalangeal syndrome. To ensure correct diagnoses and appropriate patient care, dermatologists must understand the characteristics of each hair disorder. Elucidation of the molecular basis of hereditary hair diseases can directly tell us which genes are crucial for morphogenesis and development of hair follicles in humans. Therefore, continuation of "wet laboratory" research for these diseases remains important. To date, several syndromic forms of hereditary hair diseases have been approved as designated intractable diseases in Japan. As part of our efforts in the Project for Research on Intractable Diseases through the Ministry of Health, Labour, and Welfare of Japan, we anticipate that more hereditary hair diseases be recognized as designated intractable diseases in the future, which will be to the benefit of the affected individuals.
PubMed: 37407443
DOI: 10.2302/kjm.2023-0007-IR -
NPJ Digital Medicine Jul 2023The use of artificial intelligence (AI) has the potential to improve the assessment of lesions suspicious of melanoma, but few clinical studies have been conducted. We...
The use of artificial intelligence (AI) has the potential to improve the assessment of lesions suspicious of melanoma, but few clinical studies have been conducted. We validated the accuracy of an open-source, non-commercial AI algorithm for melanoma diagnosis and assessed its potential impact on dermatologist decision-making. We conducted a prospective, observational clinical study to assess the diagnostic accuracy of the AI algorithm (ADAE) in predicting melanoma from dermoscopy skin lesion images. The primary aim was to assess the reliability of ADAE's sensitivity at a predefined threshold of 95%. Patients who had consented for a skin biopsy to exclude melanoma were eligible. Dermatologists also estimated the probability of melanoma and indicated management choices before and after real-time exposure to ADAE scores. All lesions underwent biopsy. Four hundred thirty-five participants were enrolled and contributed 603 lesions (95 melanomas). Participants had a mean age of 59 years, 54% were female, and 96% were White individuals. At the predetermined 95% sensitivity threshold, ADAE had a sensitivity of 96.8% (95% CI: 91.1-98.9%) and specificity of 37.4% (95% CI: 33.3-41.7%). The dermatologists' ability to assess melanoma risk significantly improved after ADAE exposure (AUC 0.7798 vs. 0.8161, p = 0.042). Post-ADAE dermatologist decisions also had equivalent or higher net benefit compared to biopsying all lesions. We validated the accuracy of an open-source melanoma AI algorithm and showed its theoretical potential for improving dermatology experts' ability to evaluate lesions suspicious of melanoma. Larger randomized trials are needed to fully evaluate the potential of adopting this AI algorithm into clinical workflows.
PubMed: 37438476
DOI: 10.1038/s41746-023-00872-1 -
The Diagnostic Workup, Screening, and Treatment Approaches for Patients with Delusional Infestation.Dermatology and Therapy Dec 2023Delusional infestation (DI) is a psychiatric disorder defined by the fixed, false belief that one has been infested by an organism without evidence to support this.... (Review)
Review
Delusional infestation (DI) is a psychiatric disorder defined by the fixed, false belief that one has been infested by an organism without evidence to support this. Patients may present with skin lesions and report abnormal cutaneous sensations. The diagnostic workup for patients presenting with delusional infestation is essential to ensuring accurate diagnosis in ruling out other explanations for symptoms and investigating potential secondary causes of DI. In addition to a comprehensive history and physical examination, laboratory workup should be considered depending on the clinical picture. Antipsychotic medications are the most common drugs used in management of adults with DI and tailor the choice of treatment according to patient characteristics. This article serves as a guide for dermatologists, psychiatrists, and other clinicians as it reviews the workup and screening that should be considered when managing a patient with delusional infestation and subsequent treatment protocols once the diagnosis has been made.
PubMed: 37872445
DOI: 10.1007/s13555-023-01053-4 -
Clinical, Cosmetic and Investigational... 2023The treatment of hidradenitis suppurativa (HS) has always been a real challenge for dermatologists; to date, the only biologic drugs approved for HS are adalimumab, an... (Review)
Review
The treatment of hidradenitis suppurativa (HS) has always been a real challenge for dermatologists; to date, the only biologic drugs approved for HS are adalimumab, an anti-tumor necrosis factor (TNF)-α drug, authorized in 2015, and secukinumab, recently licensed. The management of this condition is challenging as the available treatments show variable results, and the course of the condition is often chronic-recurrent; therefore, it will be necessary for the future to identify new therapeutic targets for HS. In recent years, studies have focused on the development towards new therapeutic targets. The purpose of our review was to perform a comprehensive literature review of real-life data on anti-IL23 (guselkumab, tildrakizumab, and risankizumab) in HS to summarize the existing evidence on the efficacy and safety of these drugs. We selected 64 articles, among which 32 had the characteristics that we were looking for in our review. To date, the positive data expressed in real-life experiences contrast with the three existing Phase 2 studies conducted so far, where it seems that these drugs may be useful only for a subgroup of patients with HS whose features need to be elucidated. Data from Phase 3 studies and other real-life experiences, perhaps more detailed and with higher numbers, will certainly be needed to fully understand the efficacy and safety of this class of drugs.
PubMed: 37745273
DOI: 10.2147/CCID.S418748