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Background Skin tape-strips and biopsies are widely used methods for investigating the skin in atopic dermatitis (AD). Biopsies are more commonly used but can cause scarring and pain, whereas tape-strips are noninvasive but sample less tissue. The study evaluated the performance of skin tape-strips and biopsies for studying AD. Methods Whole-transcriptome RNA-sequencing was performed on paired tape-strips and biopsies collected from lesional and non-lesional skin from AD patients (n = 7) and non-AD controls (n = 5). RNA yield, mapping efficiency, and differentially expressed genes (DEGs) for the two methods (tape-strip/biopsy) and presence of AD (AD/non-AD) were compared. Results Tape-strips demonstrated a lower RNA yield (22 vs. 4596 ng) and mapping efficiency to known genes (28% vs. 93%) than biopsies. Gene-expression profiles of paired tape-strips and biopsies demonstrated a medium correlation (R2 = 0.431). Tape-strips and biopsies demonstrated systematic differences in measured expression levels of 6483 genes across both AD and non-AD samples. Tape-strips preferentially detected many itch (CCL3/CCL4/OSM) and immune-response (CXCL8/IL4/IL5/IL22) genes as well as markers of epidermal dendritic cells (CD1a/CD207), while certain cytokines (IL18/IL37), skin-barrier genes (KRT2/FLG2), and dermal fibroblasts markers (COL1A/COL3A) were preferentially detected by biopsies. Tape-strips identified more DEGs between AD and non-AD (3157 DEGs) then biopsies (44 DEGs). Tape-strips also detected higher levels of bacterial mRNA than biopsies. Conclusions This study concludes that tape-strips and biopsies each demonstrate respective advantages for measuring gene-expression changes in AD. Thus, the specific skin layers and genes of interest should be considered before selecting either method., Background: Skin tape-strips and biopsies are widely used methods for investigating the skin in atopic dermatitis (AD). Biopsies are more commonly used but can cause scarring and pain, whereas tape-strips are noninvasive but sample less tissue. The study evaluated the performance of skin tape-strips and biopsies for studying AD. Methods: Whole-transcriptome RNA-sequencing was performed on paired tape-strips and biopsies collected from lesional and non-lesional skin from AD patients (n = 7) and non-AD controls (n = 5). RNA yield, mapping efficiency, and differentially expressed genes (DEGs) for the two methods (tape-strip/biopsy) and presence of AD (AD/non-AD) were compared. Results: Tape-strips demonstrated a lower RNA yield (22 vs. 4596 ng) and mapping efficiency to known genes (28% vs. 93%) than biopsies. Gene-expression profiles of paired tape-strips and biopsies demonstrated a medium correlation (R2 = 0.431). Tape-strips and biopsies demonstrated systematic differences in measured expression levels of 6483 genes across both AD and non-AD samples. Tape-strips preferentially detected many itch (CCL3/CCL4/OSM) and immune-response (CXCL8/IL4/IL5/IL22) genes as well as markers of epidermal dendritic cells (CD1a/CD207), while certain cytokines (IL18/IL37), skin-barrier genes (KRT2/FLG2), and dermal fibroblasts markers (COL1A/COL3A) were preferentially detected by biopsies. Tape-strips identified more DEGs between AD and non-AD (3157 DEGs) then biopsies (44 DEGs). Tape-strips also detected higher levels of bacterial mRNA than biopsies. Conclusions: This study concludes that tape-strips and biopsies each demonstrate respective advantages for measuring gene-expression changes in AD. Thus, the specific skin layers and genes of interest should be considered before selecting either method.

Background Despite previous attempts to classify atopic dermatitis (AD) into subtypes (e.g. extrinsic vs. intrinsic), there is a need to better understand specific phenotypes in adulthood. Objectives To identify, using machine learning (ML), adult AD phenotypes. Methods We used unsupervised cluster analysis to identify AD phenotypes by analysing different responses to predetermined variables (age of disease onset, severity, itch and skin pain intensity, flare frequency, anatomical location, presence and/or severity of current comorbidities) in adults with AD from the Danish Skin Cohort. Results The unsupervised cluster analysis resulted in five clusters where AD severity most clearly differed. We classified them as ‘mild’, ‘mild-to-moderate’, ‘moderate’, ‘severe’ and ‘very severe’. The severity of multiple predetermined patient-reported outcomes was positively associated with AD, including an increased number of flare-ups and increased flare-up duration and disease severity. However, an increased severity of rhinitis and mental health burden was also found for the mild-to-moderate phenotype. Conclusions ML confirmed the use of disease severity for the categorization of phenotypes, and our cluster analysis provided novel detailed information about how flare patterns and duration are associated with AD disease severity., Background Despite previous attempts to classify atopic dermatitis (AD) into subtypes (e.g. extrinsic vs. intrinsic), there is a need to better understand specific phenotypes in adulthood. Objectives To identify, using machine learning (ML), adult AD phenotypes. Methods We used unsupervised cluster analysis to identify AD phenotypes by analysing different responses to predetermined variables (age of disease onset, severity, itch and skin pain intensity, flare frequency, anatomical location, presence and/or severity of current comorbidities) in adults with AD from the Danish Skin Cohort. Results The unsupervised cluster analysis resulted in five clusters where AD severity most clearly differed. We classified them as mild , mild-To-moderate , moderate , severe and very severe . The severity of multiple predetermined patient-reported outcomes was positively associated with AD, including an increased number of flare-ups and increased flare-up duration and disease severity. However, an increased severity of rhinitis and mental health burden was also found for the mild-To-moderate phenotype. Conclusions ML confirmed the use of disease severity for the categorization of phenotypes, and our cluster analysis provided novel detailed information about how flare patterns and duration are associated with AD disease severity.

It is currently unknown whether alterations in the skin microbiome exist before development of atopic dermatitis (AD). In this prospective Danish birth cohort of 300 children, we examined whether skin microbiome alterations during the first 2 months of life were associated with an increased risk of AD in the first 2 years and its severity after adjustment for environmental factors and selected skin chemokine and natural moisturizing factor levels. We found no overall association between the skin microbiome at birth and age 2 months and AD during the first 2 years of life. However, when restricting the analysis to children with at least one parent with atopy, a lower alpha diversity at age 2 months was associated with an increased risk of AD (adjusted hazard ratio = 1.7, 95% confidence interval = 1.1–2.6). We observed a stronger association in children where both parents had atopy (adjusted hazard ratio = 4.4, 95% confidence interval = 1.1–18.2). The putative pathogenic role of changes in the skin microbiome on AD risk remains uncertain but may play a role in those with an atopic predisposition.

INTRODUCTION: Lesional skin of atopic dermatitis (AD) is often colonised by Staphylococcus aureus and the bacterial abundance increases during a flare. However, the role of S. aureus and the skin microbiome in the pathogenesis of AD, including its influence on the dysfunctional skin barrier and immune response, remains to be elucidated. In this study, the temporal relationship between alterations in the skin barrier function, inflammation and microbiome is examined in adults with AD. METHODS AND ANALYSIS: This clinical study consists of 81 adult patients with AD, as defined by the Hanifin and Rajka criteria, and 41 age and sex-matched controls. The objectives are to examine alterations in the skin microbiome, skin barrier and immune response during (1) an untreated AD flare, (2) an AD flare treated with topical corticosteroids (TCS), (3) an AD flare treated with systemic dicloxacillin/placebo and TCS or (4) cutaneous exposure to either autologous S. aureus, staphylococcal enterotoxin B or a vehicle. Skin biopsies, tape strips, skin and nasal swabs are collected and analysed using RNA sequencing, multiplex immunoassays, liquid chromatography-mass spectrometry and 16S rDNA. Blood samples are analysed for filaggrin gene mutations and leucocyte gene expression. ETHICS AND DISSEMINATION: The scientific Ethical Committee of the Capital Region in Denmark (phases I and II: H-20011047, phases III and IV: H-21079287), the local data protection agency (phases I and II: P-2020-165, phases III and IV: P-2022-250) and the Danish Medicines Agency (phases III and IV: EudraCT 2021-006883-25, ClinicalTrials.gov: NCT05578482) have approved the studies. Participants will give written informed consent prior to study initiation. The study is conducted in accordance with the Helsinki Declaration. Outcomes will be presented at national and international conferences and in international peer-reviewed publications.TRIAL REGISTRATION NUMBER: NCT05578482, EudraCT 2021-0

Background There is currently no insight into biomarkers that can predict the onset of pediatric atopic dermatitis (AD). Methods Nested in a prospective birth cohort study that examined the occurrence of physician-diagnosed AD in 300 children, 44 random children with onset of AD in the first year of life were matched on sex and season of birth with 44 children who did not develop AD. Natural moisturizing factor (NMF), corneocyte surface protrusions, cytokines, free sphingoid bases (SBs) of different chain lengths and their ceramides were analyzed from tape strips collected at 2 months of age before onset of AD using liquid chromatography, atomic force microscopy, multiplex immunoassay, and liquid chromatography mass spectrometry, respectively. Results Significant alterations were observed for four lipid markers, with phytosphingosine ([P]) levels being significantly lower in children who developed AD compared with children who did not (median 240 pmol/mg vs. 540 pmol/mg, p < 0.001). The two groups of children differed in the relative amounts of SB of different chain lengths (C17, C18 and C20). Thymus- and activation-regulated chemokine (TARC/CCL17) was slightly higher in children who developed AD, whereas NMF and corneocyte surface texture were similar. AD severity assessed by the eczema area and severity index (EASI) at disease onset was 4.2 (2.0;7.2). [P] had the highest prediction accuracy among the biomarkers (75.6%), whereas the combination of 5 lipid ratios gave an accuracy of 89.4%. Conclusion This study showed that levels and SB chain length were altered in infants who later developed AD, and that TARC/CCL17 levels were higher.

Atopic dermatitis (AD) is a common disease that is associated with atopic and nonatopic comorbidities. There has been a growing interest in this area of AD, because presence or risk of comorbidities can in many ways impact the management of patients with AD. Thus, some treatments for AD may improve its comorbidities as well, whereas others may increase their risk. In this review article, we discuss various comorbidities of AD mostly on the basis of the results of recent multiple systematic reviews and meta-analyses to update readers about this rapidly developing area of dermatology. We emphasize the important information provided by studies presenting both relative risk and absolute risk, and show that AD is associated with, among others, atopic comorbidities such as asthma, rhinitis, and food allergy, nonatopic comorbidities such as ocular, psychiatric, infectious, endocrine, autoimmune, and cardiovascular diseases, and certain cancers. Clinicians need to be aware of these and be cognizant about positive and negative effects of existing and new treatments for AD.

Atopic dermatitis (AD) and food allergy (FA) share similar type 2 inflammation and commonly co‐occur, but the precise proportion of AD patients with FA and vice versa, as well as the effect of AD disease severity on the strength of this association remains uncertain. The aim of this comprehensive systematic review and meta‐analysis was to determine the prevalence and bidirectional associations of AD with food sensitivity (FS), FA and challenge‐proven food allergy (CPFA). We searched PubMed and EMBASE and three independent reviewers performed title/abstract and full‐text review and data extraction. Overall, 557 articles (n = 225,568 individuals with AD, n = 1,128,322 reference individuals; n = 1,357,793 individuals with FS, FA or CPFA, n = 1,244,596 reference individuals) were included in quantitative analyses. The overall pooled prevalence of FS, FA and CPFA in individuals with AD were 48.4% (95% confidence interval: 43.7–53.2), 32.7% (28.8–36.6) and 40.7% (34.1–47.5) respectively. AD prevalence among individuals with FS, FA and CPFA were 51.2% (46.3–56.2), 45.3% (41.4–49.3) and 54.9% (47.0–62.8) respectively. Children with AD had higher pooled FS (49.8% (44.4–55.1)) and FA (31.4% (26.9–36.1)) prevalences than adults with AD (28.6% (13.4–46.8) and 24.1% (12.1–38.7) respectively). Prevalences of FS and FA numerically increased with AD severity. FS, FA and CPFA are common comorbidities of AD and are closely related. Physicians should be attentive to this relationship to optimize management and treatment strategies in patients.

Background Staphylococcus aureus may worsen already established atopic dermatitis (AD), but its primary role in the aetiopathogenesis and severity of AD is unclear. Objectives To compare the prevalence of S. aureus colonization in early infancy in children who developed AD during the first 2 years of life with children who did not. Methods In this prospective birth cohort study, which included 450 infants, we analysed bacterial swabs collected from cheek skin at 0 and 2 months of age. The development of AD, and its severity, was diagnosed by a physician and monitored prospectively for 2 years. Information on parental atopy, filaggrin gene mutation status and use of antibiotics and emollients was included in the analyses. Results At birth, the occurrence of S. aureus colonization was similar in infants who developed subsequent AD and those who did not. At 2 months of age, S. aureus colonization was more common in children who later developed AD (adjusted hazard ratio 1.97, 95% confidence interval 1.21–3.19; P = 0.006). No association was found between S. aureus colonization and AD severity or age at onset. Conclusions It remains unknown whether colonization with S. aureus may directly increase the risk of AD, or whether it should be considered as secondary to skin barrier impairment or a skewed immune activity, but according to our findings, S. aureus colonization is more commonly increased at 2 months of age in children who later developed AD., Background Staphylococcus aureus may worsen already established atopic dermatitis (AD), but its primary role in the aetiopathogenesis and severity of AD is unclear. Objectives To compare the prevalence of S. aureus colonization in early infancy in children who developed AD during the first 2 years of life with children who did not. Methods In this prospective birth cohort study, which included 450 infants, we analysed bacterial swabs collected from cheek skin at 0 and 2 months of age. The development of AD, and its severity, was diagnosed by a physician and monitored prospectively for 2 years. Information on parental atopy, filaggrin gene mutation status and use of antibiotics and emollients was included in the analyses. Results At birth, the occurrence of S. aureus colonization was similar in infants who developed subsequent AD and those who did not. At 2 months of age, S. aureus colonization was more common in children who later developed AD (adjusted hazard ratio 1.97, 95% confidence interval 1.21-3.19; P = 0.006). No association was found between S. aureus colonization and AD severity or age at onset. Conclusions It remains unknown whether colonization with S. aureus may directly increase the risk of AD, or whether it should be considered as secondary to skin barrier impairment or a skewed immune activity, but according to our findings, S. aureus colonization is more commonly increased at 2 months of age in children who later developed AD.

This prospective birth cohort followed 150 preterm and 300 term newborns during the first year of life to assess possible differences in risk factors, age at onset, anatomical location, and severity of atopic der-matitis. Atopic dermatitis was diagnosed clinically, and severity was assessed using Eczema Area Severity Index (EASI). DNA was analysed for filaggrin gene mutations. Parents were asked about environmental exposures and emollient use. Atopic dermatitis during the first year of life was observed in 21.2% of children and was more common in term children compared with preterm children (26.7% vs 11.7%, p < 0.001), with lower age of onset (4 vs 6 months, p < 0.05) and more severe disease at onset (EASI: 4.8 vs 0.4, p < 0.0005). Environmental risk factors for atopic dermatitis were essentially similar for preterm and term born children, apart from winter and autumn births. Filaggrin gene mutations were less common in preterm than term children (4.1% vs 9.2%, p = 0.06).

Importance: Four distinct rosacea subtypes have traditionally been recognized, but the frequency of these subtypes among patients with rosacea remains unknown. Objective: To assess the frequency of 4 rosacea subtypes. Data Sources: This systemic review and meta-analysis included a search of 2 databases, PubMed and Embase, from inception of the databases to November 2, 2021. The search was filtered to include only studies of human participants published in English, French, and German. Study Selection: Studies were screened independently by 2 of the authors and were included if they were original with a sample size of 25 or more patients and reported absolute numbers or frequency of patients affected by rosacea subtypes. Studies that did not report sufficient data to calculate the proportions of subtypes were excluded. Data Extraction and Synthesis: Data extraction was performed independently and in duplicate by 2 of the authors, using the search term rosacea, according to the Preferred Reporting items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. The search term, objectives, and study protocol methods were defined before the study was initiated. A total of 292 studies were included for full-text assessment. Owing to the heterogeneity of the included studies, a random-effects model was used. Main Outcome and Measures: The main outcome was the proportion of patients with rosacea in each of the 4 major subtype groups defined by the 2002 National Rosacea Society classification system. Measures were absolute numbers or frequency of patients affected by each of the 4 rosacea subtypes. Results: A total of 39 studies examining 9190 patients with rosacea were included. The pooled proportion of erythematotelangiectatic rosacea was 56.7% (95% CI, 51.4%-62.0%), of papulopustular rosacea was 43.2% (95% CI, 38.8%-47.6%), of phymatous rosacea was 7.4% (95% CI, 6.1%-8.9%), and of ocular rosacea was 11.1% (95% CI, 6.7%-16.3%). Subtype distribution occurred equally

BACKGROUND: Conjunctivitis and several other ocular surface diseases (OSDs) have been linked to atopic dermatitis (AD) and its treatment.OBJECTIVES: To examine the association between AD, conjunctivitis and other OSDs.METHODS: A systematic review and meta-analysis was performed. Two authors independently searched EMBASE, PubMed, SCOPUS and Web of Science, performed title/abstract and full-text review and data abstraction. Pooled random-effects prevalence and odds ratios (OR) with 95% confidence intervals (CI) were estimated.RESULTS: The search yielded 5,719 non-duplicate articles, 134 were included in the quantitative analysis. AD was associated with conjunctivitis compared to reference individuals (OR 2.78, 95% CI 2.33-3.32); the prevalence of conjunctivitis in AD patients and reference individuals being 31.7% (95% CI 27.7-35.9) and 13.3% (95% CI 11.0-15.7), respectively. Keratoconus (OR 3.71, 95% CI 1.99-6.94) and ocular herpes simplex (OR 3.65, 95% CI 2.04-6.51) were also associated with AD.LIMITATIONS: Disease definitions differed and often relied on self-reports. Few studies provided data concerning AD phenotype or OSDs other than conjunctivitis.CONCLUSIONS: Conjunctivitis is the most common ocular comorbidity in AD. Signs and symptoms of conjunctivitis and other OSDs in AD may be underreported, making proactive inquiry and examination by physicians treating AD patients important.

Background: Wide fluctuations in placebo responses have been reported in phase 3 trials of systemic therapies for moderate-to-severe plaque psoriasis. Methods: In this systematic review and meta-analysis, we assessed placebo responses in phase 3 trials of systemic therapies for moderate-to-severe plaque psoriasis. The medical databases PubMed Medline, Embase, and Web of Science were searched for studies reporting on phase 3 psoriasis trials. A proportion meta-analysis determined the proportion of placebo-treated psoriasis patients obtaining a 75, 90, or 100% reduction in Psoriasis Area and Severity Index (PASI), that is, PASI75, PASI90, or PASI100, respectively, at week 12. In the assessment of PASI75 response, 44 trials with a total number of 7,972 patients were included. Conclusion: In pooled analyses, 5.2% (95% CI 4.7-5.7%) obtained PASI75, 2.1% (95% CI 1.7-2.4%) obtained PASI90, and 0.3% (95% CI 0.1-0.5%) obtained PASI100 among placebo receivers. No temporal changes were observed. The overall proportion of placebo responders in phase 3 psoriasis trials is low and does not appear to be increasing in recent years.

Background: It is well established that asthma is common in patients with atopic dermatitis (AD). Objectives: We performed a systematic review and meta-analysis to determine the prevalence of asthma and respiratory symptoms in individuals with AD as well as the association between AD and asthma. Methods: At least 2 authors independently searched the medical databases PubMed, EMBASE, LILACS, and SCOPUS for all English-language studies with data on asthma prevalence among patients with AD or the association between AD and asthma. Pooled odds ratios with 95% confidence intervals (CIs) and pooled proportions were estimated with random-effects models. The Newcastle-Ottawa scale was used to assess study quality. Results: The search yielded 39,503 articles. Of these, 213 studies were included in a quantitative analysis. The overall pooled prevalence of asthma was 25.7% (95% CI, 23.7-27.7) in patients with AD and 8.1% (95% CI, 7.0-9.4) among reference individuals. There was a significant association between AD and asthma when compared with reference individuals (odds ratio, 3.03; 95% CI, 2.64-3.47). Limitations: The definitions of AD and asthma differed across the included studies and varied from self-report to physician diagnosed. Conclusions: Asthma is a common comorbidity of AD. Physicians should be cognizant of this relationship and address asthma symptoms in their patients.

Advances in technology have led to an increased number of studies investigating the microbiome in patients with psoriasis. This systematic review examined data regarding the oral and gut microbiota in patients with psoriasis and/or psoriatic arthritis and the effect of probiotics on the microbiota and severity of psoriasis. Of 1,643 studies, 23 were included (22 observational, 1 interventional). Studies examined the microbiota using culture or 16S rRNA gene sequencing analysis. All culture-based studies identified an increased presence of oral Candida in patients with psoriasis, whereas small variations in the oral microbiota were found in a 16S rRNA gene-based study. All 16S rRNA gene sequencing based studies agreed that the gut microbiota of patients with psoriatic disease differed from that of healthy controls, but the results were heterogeneous. Probiotics were associated with a significant improvement in the severity of psoriasis, but did not change microbiota. Overall, studies lacked relevant inclusion criteria and baseline information. In conclusion, the role of the microbiota in patients with psoriasis requires further investigation using more robust methods.

Background: Multiple biologics for psoriasis exist, and interleukin (IL) 17 inhibitors are among those with the best efficacy. However, switching treatment is often required at some point, and intraclass switch of IL-17 inhibitors is not well investigated. Objectives: To determine the efficacy of a second IL-17 inhibitor in patients with psoriasis. Methods: Two authors independently searched the databases PubMed and EMBASE for studies reporting on efficacy of IL-17 inhibitors in patients with psoriasis previously exposed to another IL-17 inhibitor. The study was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results: In total, 14 publications comprising 655 patients were included. The proportion of patients achieving a reduction of 75%, 90%, and 100% in Psoriasis Area Severity Index were, respectively, 74.6 (95% confidence interval [CI], 63.9-84.0), 69.4% (95% CI, 53.2-83.4), and 46.4 (95% CI, 30.5-62.7) after short-term treatment (weeks 9, 12, and 16 combined). Limitations: Most studies included were on ixekizumab and were retrospective chart reviews with no information on the response to the previous IL-17 inhibitor. Conclusion: Previous treatment with an IL-17 inhibitor does not appear to affect the efficacy of another IL-17 inhibitor in the treatment of psoriasis. However, further prospective studies are needed.

Accurate assessments of the burden of hand eczema (HE) in the general population are important for public awareness and intervention. The aim of this systematic review and meta-analysis was to provide updated estimates of prevalence and incidence, alongside additional epidemiological endpoints on HE in the general population. PubMed, Embase and Web of Science were searched for studies reporting the prevalence and/or incidence of HE in the general population. Proportion meta-analyses were performed to calculate pooled estimates of prevalence, incidence, severity, and the proportion of individuals with HE and a history of atopic dermatitis. Sixty-six studies were included in the quantitative analysis encompassing 568 100 individuals. The pooled estimates for lifetime, 1-year, and point prevalence were 14.5% (95% confidence interval [CI]: 12.6–16.5), 9.1% (95% CI: 8.4–9.8) and 4.0% (95% CI: 2.6–5.7), respectively. The pooled incidence rate of HE was 7.3 cases/1000 person-years (95% CI: 5.4–9.5). The occurrence of HE was 1.5–2 times higher in females than males. More than one third suffered from moderate/severe disease and around one third had a history of atopic dermatitis. HE was a recurrent, long-lasting disease with an average age at onset of the early- to mid-twenties. In conclusion; HE is a highly prevalent disease in the general population and carries a significant risk of long-term or chronic disease.

Background: Atopic dermatitis (AD) and rhinitis are common atopic diseases that may co-occur owing to an overlap in pathophysiology. Although most cases of both diseases are mild and managed with topical anti-inflammatory medicaments, the advent of new systemic and biologic treatments targeting type 2 inflammation in both diseases warrants further insight in the exact overlap of AD and rhinitis. Objective: To determine the association between AD and rhinitis. Methods: A systematic review and meta-analysis of the databases PubMed, Embase, and CNKI were performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Pooled prevalence and pooled odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated. Results: The search resulted in 10,422 citations, and 341 and 302 articles were included in the qualitative and quantitative analyses, respectively. The pooled prevalence of rhinitis was 40.5% (95% CI 39.0-42.0) in patients with AD and 18.0% (95% CI 16.7-19.2) in the reference individuals without AD. The pooled prevalence of having both rhinitis and asthma was 14.2% (95% CI 13.0-15.5) in patients with AD. There was an association between AD and rhinitis (OR 3.00, 95% CI 2.83-3.18), allergic rhinitis (OR 3.25, 95% CI 2.26-4.66), and nonallergic rhinitis (OR 1.99, 95% CI 1.39-2.86), respectively. Conclusion: Rhinitis, both allergic and nonallergic forms, is very common in patients with AD. Future investigations should clarify how medications targeting both diseases should be indicated in these patients.

BACKGROUND: Parental history of atopic disease is a well-established risk factor for the development of atopic dermatitis (AD), but several aspects of this association remain unclear.OBJECTIVE: We sought to determine the association of parental history of atopic disease with AD in offspring.METHODS: We searched PubMed and EMBASE through June 2018 for relevant records and adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Pooled odds ratios (ORs) with 95% CI were calculated using random-effects models.RESULTS: A total of 163 records covering 149 unique studies were included. Of these, 119 studies were included in the meta-analysis. Individuals with parental history of atopic disease had increased odds of AD (OR, 1.81; 95% CI, 1.65-1.99). Parental asthma (OR, 1.56; 95% CI, 1.18-2.05) and allergic rhinitis (OR, 1.68; 95% CI, 1.34-2.11) had a smaller effect than AD (OR, 3.30; 95% CI, 2.46-4.42). The effect of maternal and paternal history was comparable for all atopic diseases. An increase in odds was observed when comparing the effect of having 1 (OR, 1.30; 95% CI, 1.15-1.47) or 2 atopic parents (OR, 2.08; 95% CI, 1.83-2.36), as well as having a parent with 1 (OR, 1.49; 95% CI, 1.28-1.74) or more atopic diseases (OR, 2.32; 95% CI, 1.92-2.81).CONCLUSIONS: This study provides evidence-based risk estimates that may guide physicians who counsel parents with a history of atopic disease about their children's risk of AD. This information is of particular importance for future efforts toward establishing prophylactic interventions for AD on a general population level.

Introduction Skin barrier development and dysfunction in premature and mature newborns is important for the risk of atopic dermatitis (AD). Methods and analysis The Barrier dysfunction in Atopic newBorns studY (BABY) Cohort is a prospective birth cohort study of 150 preterm children (gestational age (GA) below 37+0) and 300 term children (GA 37+0 to 41+6). Skin barrier is assessed through transepidermal water loss, tape stripping, Raman-spectroscopy and microbiome sampling. Clinical examinations are done and DNA from buccal swabs is collected for genetic analyses. Thymus size is assessed by ultrasound examination. Information on pregnancy, delivery, parental exposures and diseases are collected, and structured telephone interviews are conducted at 18 and 24 months to assess exogenous exposures in the child and onset of AD. Hanifin and Rajka criteria as well as The UK Working Party's Diagnostic Criteria for Atopic Dermatitis are used to diagnose AD. Severity of AD is assessed using the Eczema Area and Severity Index (EASI) and Patient Oriented Eczema Measure (POEM). Ethics and dissemination The study is approved by the scientific Ethical Committee of the Capital Region (H-16042289 and H-16042294). Outcomes will be presented at national and international conferences and in peer-reviewed publications.