Long-term Outcomes of New Systemic Agents in Atopic Dermatitis: Drug Survival Analyses and Treatment Patterns in Daily Practice.

In recent years, several new systemic agents (biologics and Janus kinase inhibitors [JAKi]) have been registered for the treatment of moderate-to-severe atopic dermatitis (AD). However, comparisons of real-world drug survival data and insights into treatment patterns of these advanced systemics are limited. Data from a prospective observational single-centre registry were collected from 549 adult AD patients (759 treatment courses) receiving biologics (dupilumab, tralokinumab) or JAKi (abrocitinib, baricitinib, upadacitinib) and analysed using Kaplan-Meier survival curves.

Genetic concordance in melanoma: insights from primary tumors and their matched distant metastases.

Melanoma metastasis poses a significant challenge due to its aggressive nature and increasing incidence. Confirming the clonal relationship between the primary melanoma and its metastasis is essential to developing reliable prediction models. Here, we compared the genetic profile of primary melanoma and matched metastasis to assess their genetic clonal relationship.

Skin cancer risk in over 200.000 patients with haematologic malignancies in 30 years; a nationwide population-based study in the Netherlands.

Background: Patients with haematologic malignancies are at increased risk of developing skin cancer and often experience worse skin cancer-related outcomes. However, there is a lack of nationwide, population-based data with long-term follow-up on the incidence and risks of different skin cancer types across all haematologic malignancies.

Objectives: To assess population-based risk estimates for cutaneous squamous cell carcinoma (CSCC), malignant melanoma (MM), Merkel cell carcinoma (MCC), and basal cell carcinoma (BCC) among patients with haematologic malignancies, stratified by skin cancer type and haematologic malignancy subgroup.

The Dutch Early-Stage Melanoma (D-ESMEL) study: a discovery set and validation cohort to predict the absolute risk of distant metastases in stage I/II cutaneous melanoma.

Early-stage cutaneous melanoma patients generally have a favorable prognosis, yet a significant proportion of metastatic melanoma cases arise from this group, highlighting the need for improved risk stratification using novel prognostic biomarkers. The Dutch Early-Stage Melanoma (D-ESMEL) study introduces a robust, population-based methodology to develop an absolute risk prediction model for stage I/II melanoma, incorporating clinical, imaging, and multi-omics data to identify patients at increased risk for distant metastases. Utilizing the Netherlands Cancer Registry and Dutch Nationwide Pathology Databank, we collected primary tumor samples from early-stage melanoma patients, with and without distant metastases during follow-up.

Exploring Motives Behind Ideal Melanoma Survivorship Care Plans With Multiple Stakeholders: A Cocreation Study.

Background: Survivorship care plans (SCPs), ie, personalized health care plans for cancer survivors, can be used to support the growing group of melanoma survivors throughout their disease trajectory. However, implementation and effectiveness of SCPs are suboptimal and could benefit from the involvement of stakeholders in developing a user-centered design.

Objective: The aim of this study was to identify the ideal SCP for patients with melanoma in terms of functions and features to be included according to different stakeholders and to explore their underlying motives.

Embedding artificial intelligence in healthcare: An ethnographic exploration of an AI-based mHealth app through the lens of legitimacy.

Purpose: Skin cancer, a significant global health problem, imposes financial and workload burdens on the Dutch healthcare system. Artificial intelligence (AI) for diagnostic augmentation has gained momentum in dermatology, but despite significant research on adoption, acceptance, and implementation, we lack a holistic understanding of why technologies (do not) become embedded in the healthcare system. This study utilizes the concept of legitimacy, omnipresent but underexplored in health technology studies, to examine assumptions guiding the integration of an AI mHealth app for skin lesion cancer risk assessment in the Dutch healthcare system.

Deep learning predicted perceived age is a reliable approach for analysis of facial ageing: A proof of principle study.

Background: Perceived age (PA) has been associated with mortality, genetic variants linked to ageing and several age-related morbidities. However, estimating PA in large datasets is laborious and costly to generate, limiting its practical applicability.

Objectives: To determine if estimating PA using deep learning-based algorithms results in the same associations with morbidities and genetic variants as human-estimated perceived age.

Shared symptomatology between atopic dermatitis, ADHD and autism spectrum disorder: a protocol for a systematic scoping review.

Introduction: Children with atopic dermatitis (AD) are more at risk for the neurodevelopmental disorders attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) with parallel increases in global prevalences. Children afflicted with these conditions appear to share similar problems in sensory modulation but investigational studies on the underlying aetiology are scarce. This scoping review aims to find knowledge gaps, collate hypotheses and to summarise available evidence on the shared pathophysiology of AD, ADHD and ASD in children.

Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept study.

Background: Efficient identification of individuals at high risk of skin cancer is crucial for implementing personalized screening strategies and subsequent care. While Artificial Intelligence holds promising potential for predictive analysis using image data, its application for skin cancer risk prediction utilizing facial images remains unexplored. We present a neural network-based explainable artificial intelligence (XAI) approach for skin cancer risk prediction based on 2D facial images and compare its efficacy to 18 established skin cancer risk factors using data from the Rotterdam Study.

Lifetime prevalence and associated factors of itch with skin conditions: atopic dermatitis, psoriasis and dry skin in individuals aged > 50 years.

Background: Itch, common in dermatological conditions, is often accompanied by psychological distress and reduced quality of life. However, research on the prevalence and associated factors of itch with skin conditions in general populations is limited.

Objectives: This cross-sectional study aimed to determine the lifetime prevalence of itch with skin conditions and to identify its associated factors in individuals aged > 50 years.

Association between lifetime smoking and cutaneous squamous cell carcinoma: A 2-sample Mendelian randomization study.

Background/purpose: Cutaneous squamous cell carcinoma (cSCC) is one of the most common malignancies worldwide. While several environmental risk factors for cSCC are well established, there is conflicting evidence on cigarette smoking (and its potential causal effect) and cSCC risk. Furthermore, it is unclear if these potential associations represent causal, modifiable risk factors for cSCC development.

The epidemiology of acne vulgaris in a multiethnic adolescent population from Rotterdam, the Netherlands: A cross-sectional study.

Background: Although acne is a prevalent multifactorial inflammatory skin condition, few studies were performed in multiethnic populations.

Objectives: To study the prevalence and determinants of acne in a multiethnic study at the start of puberty.

Methods: This cross-sectional study is embedded in Generation R, a population-based prospective study from Rotterdam, the Netherlands.

Global epidemiology of actinic keratosis in the general population: a systematic review and meta-analysis.

Background: Actinic keratosis (AK) is a common dermatological condition, and among the most common dermatological diagnoses in older populations. Although the prevalence of AK depends on demographic and environmental factors, little is known about the global context of AK.

Objectives: To provide a comprehensive and updated analysis of the global prevalence rate and incidence of AK in the general population through a systematic review and meta-analysis, and - through subgroup analyses - to identify high-risk phenotypes, demographic and lifestyle risk factors and regional variations in disease prevalence.

Cumulative incidence and timing of subsequent cutaneous squamous cell carcinomas stratified for patients with organ transplantation and hematologic malignancies: A nationwide cohort study.

Background: There is lack of nationwide data on the cumulative incidence and timing of subsequent cutaneous squamous cell carcinomas (cSCCs) among patients with a first cSCC.

Objective: To investigate the cumulative incidence and timing of subsequent cSCCs.

Methods: Patients with a first cSCC in 2007/2008 from the Netherlands Cancer Registry were linked to the Netherlands Pathology Registry for subsequent cSCCs and the Netherlands Organ Transplant Registry.

Upadacitinib treatment in a real-world difficult-to-treat atopic dermatitis patient cohort.

Background: Upadacitinib was the first JAK-1 selective inhibitor registered for the treatment of moderate-to-severe atopic dermatitis (AD). Although efficacy and safety have been shown in clinical trials, real-world data on the use of upadacitinib in patients that have been treated with other immunosuppressants and targeted therapies is limited.

Objectives: To provide real-world evidence on the use of upadacitinib treatment in moderate-to-severe atopic dermatitis.