History of dermatology: the study of skin diseases over the centuries

Topically Applied Therapies for the Treatment of Skin Disease: Past, Present, and Future

The purpose of this review is to summarize essential biological, pharmaceutical, and clinical aspects in the field of topically applied medicines that may help scientists when trying to develop new topical medicines. After a brief history of topical drug delivery, a review of the structure and function of the skin and routes of drug absorption and their limitations is provided. The most prevalent diseases and current topical treatment approaches are then detailed, the organization of which reflects the key disease categories of autoimmune and inflammatory diseases, microbial infections, skin cancers, and genetic skin diseases. The complexity of topical product development through to large-scale manufacturing along with recommended risk mitigation approaches are then highlighted. As such topical treatments are applied externally, patient preferences along with the challenges they invoke are then described, and finally the future of this field of drug delivery is discussed, with an emphasis on areas that are more likely to yield significant improvements over the topical medicines in current use or would expand the range of medicines and diseases treatable by this route of administration. SIGNIFICANCE STATEMENT: This review of the key aspects of the skin and its associated diseases and current treatments along with the intricacies of topical formulation development should be helpful in making judicious decisions about the development of new or improved topical medicines. These aspects include the choices of the active ingredients, formulations, the target patient population's preferences, limitations, and the future with regard to new skin diseases and topical medicine approaches.

Standardized Wound Care: Patchwork Practices?

Standardized care is crucial in health care for ensuring consistent, safe, high-quality, efficient, and evidence-based practices. Care pathways that standardize procedures promote adherence to best practices, reduce variability in treatment, and encourage collaboration among health care teams. This approach ultimately improves patient outcomes, enhances safety, and boosts the overall effectiveness of health care services. However, despite these benefits being widespread across most of the U.S. health care system, wound care stands out as an area where standards can vary significantly. The inconsistency in wound care standards in the United States can be traced to several factors. These include limited structured clinical wound care education, the discretion of health care providers in different business environments, differences in wound care settings, varying access to advanced treatments and technology, patient demographics and socioeconomic status, as well as differences in state laws and regional or institutional practices. Addressing these disparities requires a comprehensive approach that considers the complex interplay of the abovementioned factors. Active measures are needed to improve access, equity, and the quality of wound care services for all patients, regardless of where they live, their socioeconomic status, their health care coverage, or the business interests of providers and their institutions as well as of vendors marketing wound care products inconsistent with evidence-based practice. By understanding and actively addressing these factors, we can work toward achieving more standardized, evidence-based, and patient-centered practices in wound care across the nation.

Melanin Biopolymers in Pharmacology and Medicine-Skin Pigmentation Disorders, Implications for Drug Action, Adverse Effects and Therapy

Melanins are biopolymeric pigments formed by a multi-step oxidation process of tyrosine in highly specialized cells called melanocytes. Melanin pigments are mainly found in the skin, iris, hair follicles, and inner ear. The photoprotective properties of melanin biopolymers have been linked to their perinuclear localization to protect DNA, but their ability to scavenge metal ions and antioxidant properties has also been noted. Interactions between drugs and melanins are of clinical relevance. The formation of drug-melanin complexes can affect both the efficacy of pharmacotherapy and the occurrence of adverse effects such as phototoxic reactions and discoloration. Because the amount and type of melanin synthesized in the body is subject to multifactorial regulation-determined by both internal factors such as genetic predisposition, inflammation, and hormonal balance and external factors such as contact with allergens or exposure to UV radiation-different effects on the melanogenesis process can be observed. These factors can directly influence skin pigmentation disorders, resulting in hypopigmentation or hyperpigmentation of a genetic or acquired nature. In this review, we will present information on melanocyte biology, melanogenesis, and the multifactorial influence of melanin on pharmacological parameters during pharmacotherapy. In addition, the types of skin color disorders, with special emphasis on the process of their development, symptoms, and methods of treatment, are presented in this article.

Implementation of a postgraduate dermatology fellowship program for nurse practitioners

ABSTRACT

Transition to practice programs (also referred to as fellowship, residency, or postgraduate training programs) for nurse practitioners (NPs) are becoming more popular, especially in specialties such as dermatology. A nationwide shortage of dermatology clinicians, which had led to long appointment wait times and inadequate patient access to care, has led to more NPs practicing dermatology to help meet the demand for care. New graduate NPs may struggle in their transition to practice, and fellowship programs have been shown to support NPs as they transition from novice to expert. In this article, the University of Rochester Medical Center shares its experience in developing, implementing, and managing a postgraduate dermatology fellowship program for NPs.

A Comprehensive Review of Minimally Invasive Dermatosurgical Procedures

Minimally invasive dermatosurgical procedures have revolutionized the field of dermatology, offering patients effective treatment options with reduced risks and downtime. This review provides a comprehensive overview of these procedures, beginning with their definition and historical context. We classify minimally invasive techniques, including both surgical and nonsurgical approaches, and explore their wide-ranging applications in cosmetic and therapeutic dermatology. Patient selection, preoperative assessment, techniques, clinical outcomes, and comparisons with traditional surgical methods are thoroughly examined. The implications for clinical practice are discussed, emphasizing the importance of integrating minimally invasive techniques into dermatologic care to enhance patient outcomes. Furthermore, areas for future research are identified, highlighting the need for ongoing studies to optimize techniques, evaluate long-term outcomes, and explore emerging technologies. Overall, this review underscores the significance of minimally invasive dermatosurgical procedures in advancing dermatologic practice and improving patient care.

Mastering the Art of Dermatosurgery: Aesthetic Alchemy in Medical Excellence

Dermatosurgery, a specialized branch within dermatology, has traversed an extraordinary journey through time, shaped by ancient practices, technological leaps, and shifting societal perceptions. This review explores the evolution of dermatosurgery, highlighting its profound transformation from addressing solely medical concerns to seamlessly integrating aesthetics. From its roots in ancient civilizations, where cultural traditions laid the foundation for modern techniques, to the twentieth-century technological renaissance, marked by innovative tools and enhanced understanding of skin anatomy, dermatosurgery has emerged as a dynamic field. Societal notions of beauty and health have significantly influenced dermatosurgery, blurring the lines between medical necessity and elective aesthetic procedures. The delicate balance between satisfying aesthetic desires and upholding medical ethics is a central challenge that dermatosurgeons face today. Open dialogue between practitioners and patients as well as psychological support plays a pivotal role in navigating this terrain. The training and ethics associated with dermatosurgery have evolved to meet the increasing demand for specialized procedures. Maintaining a focus on patient safety and satisfaction remains paramount as commercial pressures and disparities in access to care loom. Upholding best practices and standards in the field is essential for ensuring consistent, high-quality care for all patients. Looking ahead, dermatosurgery stands on the brink of a transformative era, marked by non-invasive techniques, artificial intelligence (AI) integration, and personalized medicine. The field's ability to harmonize medical science with aesthetic artistry is evident in various case studies, showcasing the intricate balance dermatosurgeons strike between addressing medical concerns and fulfilling aesthetic desires. As dermatosurgery continues to evolve, it promises to provide patients with even more precise, tailored treatments that enhance both their physical well-being and aesthetic satisfaction.

A Machine Learning Approach to Assess Patients with Deep Neck Infection Progression to Descending Mediastinitis: Preliminary Results

BACKGROUND

Deep neck infection (DNI) is a serious infectious disease, and descending mediastinitis is a fatal infection of the mediastinum. However, no study has applied artificial intelligence to assess progression to descending mediastinitis in DNI patients. Thus, we developed a model to assess the possible progression of DNI to descending mediastinitis.

METHODS

Between August 2017 and December 2022, 380 patients with DNI were enrolled; 75% of patients (n = 285) were assigned to the training group for validation, whereas the remaining 25% (n = 95) were assigned to the test group to determine the accuracy. The patients' clinical and computed tomography (CT) parameters were analyzed via the k-nearest neighbor method. The predicted and actual progression of DNI patients to descending mediastinitis were compared.

RESULTS

In the training and test groups, there was no statistical significance (all p > 0.05) noted at clinical variables (age, gender, chief complaint period, white blood cells, C-reactive protein, diabetes mellitus, and blood sugar), deep neck space (parapharyngeal, submandibular, retropharyngeal, and multiple spaces involved, ≥3), tracheostomy performance, imaging parameters (maximum diameter of abscess and nearest distance from abscess to level of sternum notch), or progression to mediastinitis. The model had a predictive accuracy of 82.11% (78/95 patients), with sensitivity and specificity of 41.67% and 87.95%, respectively.

CONCLUSIONS

Our model can assess the progression of DNI to descending mediastinitis depending on clinical and imaging parameters. It can be used to identify DNI patients who will benefit from prompt treatment.

Polymeric Nanoparticles as Tunable Nanocarriers for Targeted Delivery of Drugs to Skin Tissues for Treatment of Topical Skin Diseases

The topical route is the most appropriate route for the targeted delivery of drugs to skin tissues for the treatment of local skin diseases; however, the stratum corneum (SC), the foremost layer of the skin, acts as a major barrier. Numerous passive and active drug delivery techniques have been exploited to overcome this barrier; however, these modalities are associated with several detrimental effects which restrict their clinical applicability. Alternatively, nanotechnology-aided interventions have been extensively investigated for the topical administration of a wide range of therapeutics. In this review, we have mainly focused on the biopharmaceutical significance of polymeric nanoparticles (PNPs) (made from natural polymers) for the treatment of various topical skin diseases such as psoriasis, atopic dermatitis (AD), skin infection, skin cancer, acute-to-chronic wounds, and acne. The encapsulation of drug(s) into the inner core or adsorption onto the shell of PNPs has shown a marked improvement in their physicochemical properties, avoiding premature degradation and controlling the release kinetics, permeation through the SC, and retention in the skin layers. Furthermore, functionalization techniques such as PEGylation, conjugation with targeting ligand, and pH/thermo-responsiveness have shown further success in optimizing the therapeutic efficacy of PNPs for the treatment of skin diseases. Despite enormous progress in the development of PNPs, their clinical translation is still lacking, which could be a potential future perspective for researchers working in this field.

Deep Learning Artificial Intelligence to Predict the Need for Tracheostomy in Patients of Deep Neck Infection Based on Clinical and Computed Tomography Findings—Preliminary Data and a Pilot Study

Background: Deep neck infection (DNI) can lead to airway obstruction. Rather than intubation, some patients need tracheostomy to secure the airway. However, no study has used deep learning (DL) artificial intelligence (AI) to predict the need for tracheostomy in DNI patients. Thus, the purpose of this study was to develop a DL framework to predict the need for tracheostomy in DNI patients. Methods: 392 patients with DNI were enrolled in this study between August 2016 and April 2022; 80% of the patients (n = 317) were randomly assigned to a training group for model validation, and the remaining 20% (n = 75) were assigned to the test group to determine model accuracy. The k-nearest neighbor method was applied to analyze the clinical and computed tomography (CT) data of the patients. The predictions of the model with regard to the need for tracheostomy were compared with actual decisions made by clinical experts. Results: No significant differences were observed in clinical or CT parameters between the training group and test groups. The DL model yielded a prediction accuracy of 78.66% (59/75 cases). The sensitivity and specificity values were 62.50% and 80.60%, respectively. Conclusions: We demonstrated a DL framework to predict the need for tracheostomy in DNI patients based on clinical and CT data. The model has potential for clinical application; in particular, it may assist less experienced clinicians to determine whether tracheostomy is necessary in cases of DNI.

Skin lesion classification system using a K-nearest neighbor algorithm

One of the most critical steps in medical health is the proper diagnosis of the disease. Dermatology is one of the most volatile and challenging fields in terms of diagnosis. Dermatologists often require further testing, review of the patient's history, and other data to ensure a proper diagnosis. Therefore, finding a method that can guarantee a proper trusted diagnosis quickly is essential. Several approaches have been developed over the years to facilitate the diagnosis based on machine learning. However, the developed systems lack certain properties, such as high accuracy. This study proposes a system developed in MATLAB that can identify skin lesions and classify them as normal or benign. The classification process is effectuated by implementing the K-nearest neighbor (KNN) approach to differentiate between normal skin and malignant skin lesions that imply pathology. KNN is used because it is time efficient and promises highly accurate results. The accuracy of the system reached 98% in classifying skin lesions.