Paternal and maternal use of dupilumab in patients with atopic dermatitis: a case series.

Dupilumab is a relatively new treatment option for patients with moderate to severe atopic dermatitis. There is a lack of knowledge about the effects of treatment with dupilumab during conception for both men and women, as well as during pregnancy and lactation in women. We report four patients (two men, two women) who expressed a wish to conceive during treatment with dupilumab in daily practice. Both men conceived during dupilumab treatment, while the two women discontinued dupilumab because of anticipated pregnancy. Apart from disease flares in both of the patients who discontinued treatment, no complications were reported concerning the ability to conceive, the course of the pregnancy or the fetal outcome. We present an overview of the current available literature on dupilumab during conception, pregnancy and lactation, which can guide considerations for patients on dupilumab wishing to conceive a child. Until more data are available, preference should be given to treatment with topical corticosteroids, phototherapy, systemic corticosteroids and ciclosporin.

TREatment of ATopic eczema (TREAT) Registry Taskforce: consensus on how and when to measure the core dataset for atopic eczema treatment research registries.

BACKGROUND: Comparative, real-life and long-term evidence on the effectiveness and safety of phototherapy and systemic therapy in moderate-to-severe atopic eczema (AE) is limited. Such data must come from well-designed prospective patient registries. Standardization of data collection is needed for direct comparisons and data pooling. OBJECTIVES: To reach a consensus on how and when to measure the previously defined domain items of the TREatment of ATopic eczema (TREAT) Registry Taskforce core dataset for research registries for paediatric and adult patients with AE. METHODS: Proposals for the measurement instruments were based on recommendations of the Harmonising Outcome Measures for Eczema (HOME) initiative, the existing AE database of TREATgermany, systematic reviews of the literature and expert opinions. The proposals were discussed at three face-to-face consensus meetings, one teleconference and via e-mail. The frequency of follow-up visits was determined by an expert survey. RESULTS: A total of 16 experts from seven countries participated in the 'how to measure' consensus process and 12 external experts were consulted. A consensus was reached for all domain items on how they should be measured by assigning measurement instruments. A minimum follow-up frequency of initially 4 weeks after commencing treatment, then every 3 months while on treatment and every 6 months while off treatment was defined. CONCLUSIONS: This core dataset for national AE research registries will aid in the comparability and pooling of data across centres and country borders, and enables international collaboration to assess the long-term effectiveness and safety of phototherapy and systemic therapy used in patients with AE. What's already known about this topic? Comparable, real-life and long-term data on the effectiveness and safety of phototherapy and systemic therapy in patients with atopic eczema (AE) are needed. There is a high diversity of outcomes and instruments used in AE research, which require harmonization to enhance comparability and allow data pooling. What does this study add? Our taskforce has reached international consensus on how and when to measure core domain items for national AE research registries. This core dataset is now available for use by researchers worldwide and will aid in the collection of unified data. What are the clinical implications of this work? The data collected through this core dataset will help to gain better insights into the long-term effectiveness and safety of phototherapy and systemic therapy in AE and will provide important information for clinical practice. Standardization of such data collection at the national level will also allow direct data comparisons and pooling across country borders (e.g. in the analysis of treatment-related adverse events that require large patient numbers).