How Effective Are Devices in the Management of Onychomycosis?: A Systematic Review.

Onychomycosis is the most common nail disorder, with a global prevalence of approximately 5.5%. It is difficult to cure on both short-term and long-term bases. The most common treatments include the use of oral or topical antifungals. Recurrent infections are common, and the use of systemic oral antifungals raises concerns of hepatotoxicity and drug-drug interactions, particularly in patients with polypharmacy. A number of device-based treatments have been developed for onychomycosis treatment, to either directly treat fungal infection or act as adjuvants to increase the efficacy of topical and oral agents. These device-based treatments have been increasing in popularity over the past several years, and include photodynamic therapy, iontophoresis, plasma, microwaves, ultrasound, nail drilling, and lasers. Some, such as photodynamic therapy, provide more direct treatment, whereas others, such as ultrasound and nail drilling, aid the uptake of traditional antifungals. We conducted a systematic literature search investigating the efficacy of these device-based treatment methods. From an initial result of 841 studies, 26 were deemed relevant to the use of device-based treatments of onychomycosis. This review examines these methods and provides insight into the state of clinical research for each. Many device-based treatments show promising results, but require more research to assess their true impact on onychomycosis.

The emergence of Trichophyton indotineae: Implications for clinical practice.

Emergence and increase of terbinafine-resistant dermatophytosis led to the identification of Trichophyton mentagrophytes internal transcriber space (ITS) genotype VIII in 2017, later renamed as Trichophyton indotineae and classified as a separate species in 2020. With its suspected origin in South Asia, this novel strain has emerged in Bahrain, Canada, Denmark, Finland, France, Germany, India, Iran, Japan, Russia, and Switzerland, with its spread attributed primarily to travel and migration. Diagnosis using routine mycology laboratory techniques is unable to distinguish T. indotineae from T. mentagrophytes and T. interdigitale; specific identification requires genomic sequencing to identify unique, specific markers. One speculated reason for this recent outbreak is the unrestricted use of topical steroid creams and antifungal agents. Patients with extensive tinea corporis and cruris due to T. indotineae present with inflammatory red plaques in multiple body sites. The majority of these infections prove to be resistant to conventional antifungals, including allylamines and azoles (itraconazole and fluconazole), thus emphasizing the need for antifungal susceptibility testing before treatment initiation and for reassessing in nonresponsive patients. Molecular studies have identified several point mutations in the ERG1 (terbinafine resistance) and ERG11 (azole resistance) genes, which need to be analyzed further. Use of relatively new agents, such as voriconazole and luliconazole, as well as device modalities and combination therapy, could be investigated for recalcitrant T. indotineae infections.

There Is a Positive Dose-Dependent Association between Low-Dose Oral Minoxidil and Its Efficacy for Androgenetic Alopecia: Findings from a Systematic Review with Meta-Regression Analyses.

Background: Recently, low-dose oral minoxidil (LDOM) has entered the landscape of therapies for androgenetic alopecia (AGA). We determined whether using LDOM is associated with improving AGA in a dose-dependent manner; secondarily, we examined whether a dose-dependent association also exists for safety. Methods: Systematic searches were conducted in PubMed and Scopus to identify studies that would be eligible for our quantitative analyses; the logistics of our analyses was determined by the data we gathered. Results: Six studies were eligible for quantitative analyses; we conducted meta-regressions. We found that, for persons with AGA, increasing the dosage of LDOM by 1 mg/day was - after six months - significantly associated with an expected sex-adjusted increase in hair diameter (mean difference = 1.4 µm, p = 0.01), total hair density (mean difference = 47.1 hairs/cm2, p = 0.007), terminal hair density (mean difference = 9.1 hairs/cm2, p = 0.001), risk of hypertrichosis (mean difference = 17.9%, p = 0.006), and cardiovascular adverse events (mean difference = 4.8%, p = 0.004). Conclusions: Our study produced new evidence as our work is the first to show a positive dose-dependent association between the use of LDOM and change in hair diameter, hair density, risk of hypertrichosis, and cardiovascular adverse events for persons with AGA. Future randomized trials could produce causal evidence that would corroborate these dose-dependent associations.

The March Against Onychomycosis: A Systematic Review of the Sanitization Methods for Shoes, Socks, and Textiles.

Drug-based treatment of superficial fungal infections, such as onychomycosis, is not the only defense. Sanitization of footwear such as shoes, socks/stockings, and other textiles is integral to the prevention of recurrence and reduction of spread for superficial fungal mycoses. The goal of this review was to examine the available methods of sanitization for footwear and textiles against superficial fungal infections. A systematic literature search of various sanitization devices and methods that could be applied to footwear and textiles using PubMed, Scopus, and MEDLINE was performed. Fifty-four studies were found relevant to the different methodologies, devices, and techniques of sanitization as they pertain to superficial fungal infections of the feet. These included topics of basic sanitization, antifungal and antimicrobial materials, sanitization chemicals and powder, laundering, ultraviolet, ozone, nonthermal plasma, microwave radiation, essential oils, and natural plant extracts. In the management of onychomycosis, it is necessary to think beyond treatment of the nail, as infections enter through the skin. Those prone to onychomycosis should examine their environment, including surfaces, shoes, and socks, and ensure that proper sanitization is implemented.

Hair loss treatment and restoration: Online interest trends and video-based social media content.

BACKGROUND: Public interest in hair loss topics and treatments can be observed by examining online trends, such as those monitored by Google Trends. Social media has also gained the interest of the dermatology community. Video-based social media sites are being used to provide the public with informational content related to hair loss and treatments, but it may not always be unbiased or reliable. AIMS: This research examined the interest in hair loss and treatment related trends in recent years through Google Trends, as well as examined what videos from YouTube and TikTok that the average person may encounter when performing searches related to hair loss and treatments. RESULTS: Google Trends showed that the COVID-19 pandemic had an initial negative impact on interests of hair loss and treatment related topics, both worldwide and in the United States. External events, such as a celebrity receiving a hair transplant, can influence the interests of the general public with the topic. The social media sites showed that there was a high level of interest in the topics, approximately 25% of videos involved a medical professional, and many involved personal experiences or natural remedies. CONCLUSIONS: Interest in hair loss and treatments continues to grow. Clinicians should do their best to follow the current public interests and be aware of where patients may be obtaining information. Being aware of general interest trends online can benefit clinicians by allowing them to prepare their clinics for potential influxes.

Diagnosing Onychomycosis: What's New?

An overview of the long-established methods of diagnosing onychomycosis (potassium hydroxide testing, fungal culture, and histopathological examination) is provided followed by an outline of other diagnostic methods currently in use or under development. These methods generally use one of two diagnostic techniques: visual identification of infection (fungal elements or onychomycosis signs) or organism identification (typing of fungal genus/species). Visual diagnosis (dermoscopy, optical coherence tomography, confocal microscopy, UV fluorescence excitation) provides clinical evidence of infection, but may be limited by lack of organism information when treatment decisions are needed. The organism identification methods (lateral flow techniques, polymerase chain reaction, MALDI-TOF mass spectroscopy and Raman spectroscopy) seek to provide faster and more reliable identification than standard fungal culture methods. Additionally, artificial intelligence methods are being applied to assist with visual identification, with good success. Despite being considered the 'gold standard' for diagnosis, clinicians are generally well aware that the established methods have many limitations for diagnosis. The new techniques seek to augment established methods, but also have advantages and disadvantages relative to their diagnostic use. It remains to be seen which of the newer methods will become more widely used for diagnosis of onychomycosis. Clinicians need to be aware of the limitations of diagnostic utility calculations as well, and look beyond the numbers to assess which techniques will provide the best options for patient assessment and management.

Diagnosing onychomycosis: A step forward?

BACKGROUND AND AIMS: There are a number of available methods for diagnosing onychomycosis, but more emerge as technology advances. This review briefly discusses the common diagnostic methods, the use of artificial intelligence (AI) as a diagnostic tool in dermatology as a whole, and then examines research on the use of AI for diagnosing onychomycosis. The studies discussed implemented convolutional neural networks (CNNs) to examine datasets of images of entire nails or histological images and then used the information learned from those datasets to make a diagnostic decision of onychomycosis or not. RESULTS: Results: It was found that, on average, AI were able to diagnose onychomycosis from the images provided at an equivalent level as human dermatologists. However, there are a number of clear limitations for using AI in this manner. The AI models implemented relied solely on images and therefore were limited by image quality. As only images were examined, other clinical data were not taken into consideration, which could be important to the diagnostic outcome. CONCLUSION: Conclusion: In conclusion, although AI can be a very helpful tool in the diagnostic process by increasing efficiency and reducing costs, it still requires the precision and expertise of professional dermatologists to be used optimally.

Interpreting pragmatic markers following proverbs.

This research examined the interpretation of the pragmatic markers literally and figuratively when they followed familiar and unfamiliar proverbs (e.g., "Birds of a feather will flock together, literally"). Event-related brain potential methodology was used to measure costs associated with interpreting the markers during online comprehension, and an offline task provided additional insight into how sensible the markers were in the proverbial contexts. N400 potentials revealed that literally was less semantically congruent than figuratively with familiar and unfamiliar proverbial contexts, and differences in late positive potentials showed that resolving the interpretation of markers inconsistent with the salient meaning of the proverbs was more difficult following unfamiliar than familiar proverbs. Sensibility ratings showed that literally was less sensible than figuratively following both types of proverbs, and that both markers were more sensible following familiar proverbs. These results have implications for understanding how people interpret the pragmatic intent of these markers when they appear after the figurative statements they modify, and highlight the sensitivity of the markers to context. (PsycInfo Database Record (c) 2021 APA, all rights reserved).