Literature DB >> 34614025

The epidemiology of atopic dermatitis in older adults: A population-based study in the United Kingdom.

Leslie N Chan1, Alexa Magyari2, Morgan Ye3, Noor A Al-Alusi1, Sinead M Langan4, David Margolis5, Charles E McCulloch6, Katrina Abuabara3.   

Abstract

BACKGROUND: Atopic dermatitis is known to be common among children, but there are few studies examining the epidemiology across the life course. In particular, there is a paucity of data on atopic dermatitis among older adults.
OBJECTIVE: To evaluate participant characteristics, patterns of disease activity and severity, and calendar trends in older adult atopic dermatitis in comparison to other age groups in a large population-based cohort.
METHODS: This was a cohort study of 9,154,936 individuals aged 0-99 years registered in The Health Improvement Network, a database comprised of electronic health records from general practices in the United Kingdom between 1994 and 2013. Atopic dermatitis was defined by a previously validated algorithm using a combination of at least one recorded atopic dermatitis diagnostic code in primary care and two atopic dermatitis therapies recorded on separate days. Cross-sectional analyses of disease prevalence were conducted at each age. Logistic mixed effect regression models were used to identify predictors of prevalent disease over time among children (0-17 years), adults (18-74 years), and older adults (75-99 years).
RESULTS: Physician-diagnosed atopic dermatitis was identified in 894,454 individuals with the following proportions in each age group: 18.3% of children, 7.7% of adults, and 11.6% of older adults. Additionally, atopic dermatitis prevalence increased across the 2-decade period (beta from linear regression test for trend in the change in proportion per year = 0.005, p = 0.044). In older adults, atopic dermatitis was 27% less common among females (adjusted OR 0.73, 95% CI 0.70-0.76) and was more likely to be active (59.7%, 95% CI 59.5-59.9%) and of higher severity (mean annual percentage with moderate and severe disease: 31.8% and 3.0%, respectively) than in other age groups.
CONCLUSION: In a large population-based cohort, the prevalence of physician-diagnosed atopic dermatitis has increased throughout adulthood and was most common among males age 75 years and above. Compared to children ages 0-17 and adults ages 18-74, older adult atopic dermatitis was more active and severe. Because the prevalence of atopic dermatitis among older adults has increased over time, additional characterization of disease triggers and mechanisms and targeted treatment recommendations are needed for this population.

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Mesh:

Year:  2021        PMID: 34614025      PMCID: PMC8494374          DOI: 10.1371/journal.pone.0258219

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Atopic dermatitis (also known as atopic eczema, or simply eczema) is a common inflammatory condition that manifests as dry, severely itchy skin [1]. While much of the early literature on this condition has focused on childhood disease, newer evidence suggests that atopic dermatitis is also common during adulthood [2, 3]. Older adults, in particular, have not been well-represented in epidemiologic studies of atopic dermatitis nor in clinical trials for novel treatments [4]. Differences in both demographic characteristics and clinical manifestations of atopic dermatitis have been identified between children and adults, demonstrating the importance of studying atopic dermatitis past childhood [2, 5, 6]. In a recent study to identify the prevalence of physician-diagnosed atopic dermatitis across the lifespan, we found unexpectedly high rates of atopic dermatitis among older adults [3]. A small body of literature has described ‘senile’ atopic dermatitis, but there remains a gap in our understanding of the epidemiology of atopic dermatitis in this population [6, 7]. Understanding disease trends among older adults is a priority because they comprise the most rapidly growing demographic group worldwide—by 2050, the population of adults over the age of 80 in the United States (US) is expected to triple [8]. Additionally, older adults are often affected by other health conditions that may influence atopic dermatitis treatment choice. These unique considerations underscore the importance of studying the epidemiology and disease characteristics of atopic dermatitis in the older adult population. Our objective was to characterize the epidemiology of atopic dermatitis among older adults as compared to other age groups in a large population-based sample. Specifically, we examined the prevalence of atopic dermatitis by age and whether this changed over time, investigated the association between patient characteristics and the age-specific prevalence of atopic dermatitis, and identified patterns of disease activity and severity by age group.

Methods

Population

We conducted a longitudinal analysis using routinely collected primary care data from The Health Improvement Network (THIN) cohort (Fig 1). THIN consists of anonymized electronic health records of patients registered with more than 500 participating general practices in the United Kingdom (UK), covering approximately 6% of the UK population, and has been widely used for longitudinal analyses of chronic health conditions [9-13]. The data are valid for many chronic conditions, and the population is generalizable to the larger UK population in which general practitioners manage 97% of atopic dermatitis cases [10]. This study was approved by the THIN SRC (Reference 14–083), considered exempt by the University of Pennsylvania IRB, and not considered human subjects research by the UCSF IRB.
Fig 1

Graphical depiction of study design.

Participants were followed for up to 20 years at differing ages; if individuals met atopic dermatitis diagnosis criteria, they were assessed for active disease during each subsequent year of follow-up.

Graphical depiction of study design.

Participants were followed for up to 20 years at differing ages; if individuals met atopic dermatitis diagnosis criteria, they were assessed for active disease during each subsequent year of follow-up. The analysis population included all patients between 0–99 years old who were registered at participating practices in the UK during the follow-up window. The start of follow-up began from the latest of the following dates: date the patient registered with the practice, date the practice met data quality control standards, or the start of the cohort (January 1, 1994). The follow-up period ended at the earliest of the following dates: recorded death date, last visit with the practice, end of registration with the practice, or the end of available follow-up data (January 15, 2013).

Variables

Atopic dermatitis diagnosis was determined by a combination of at least one recorded atopic dermatitis diagnostic code in primary care (THIN, using Read codes) and two atopic dermatitis therapies recorded on separate days, as previously validated [9]. The positive predictive value of this algorithm for identifying physician-confirmed atopic dermatitis among all adults over age 18 was 82% (95% CI 73–89%). Among the subset of adults in this sample over age 75, the positive predictive value was 85% (95% CI 55–98%). Atopic dermatitis therapy categories included the following: emollients, topical corticosteroids, topical calcineurin inhibitors (tacrolimus and pimecrolimus), oral glucocorticoids, azathioprine, ciclosporin, methotrexate, and mycophenolate mofetil. The date of diagnosis was set as the date of the latest recorded component (i.e. atopic dermatitis diagnostic code or second record for atopic dermatitis therapy) in the algorithm. Therapies were selected based on British National Formulary codes and individually reviewed to ensure relevance (i.e. topical rather than optical steroids) (S1 Table). Prevalent atopic dermatitis was defined on a yearly basis as any additional atopic dermatitis medical code from a physician visit or prescription for an atopic dermatitis treatment during a year of follow-up after a patient met the atopic dermatitis definition. The year in which a participant ended their follow-up was used as a proxy to assess for the association between calendar time and atopic dermatitis. Socioeconomic status was measured using the Townsend Deprivation Score, an area-level measure encompassing unemployment and household crowding rates as well as home and car ownership, based on Census data for groups of about 150 households [14]. The score was reported in quintiles with higher quintiles reflecting higher amounts of deprivation, or lower socioeconomic status. Urban/rural classification, or setting, was based on the Office of National Statistics guidelines [15]. Demographic data were recorded at the time of registration.

Analyses

Age-specific prevalence of atopic dermatitis was calculated in a series of cross-sectional analyses by dividing the number of patients who met the validated atopic dermatitis definition and had additional atopic dermatitis codes in any given year by the total number of patients being followed at the same age. Local polynomial smoothed plots were generated from cross-sectional calculations at each age by participant characteristics and by calendar period. Based on the demographic trends identified in these plots, we grouped the population into three age categories for stratified regression analyses: children (ages 0–17), adults (ages 18–74), and older adults (ages 75–99). Within each group, we quantified the association of age, calendar period, area of residence (urban/rural), sex, and Townsend Deprivation Score with the odds of prevalent atopic dermatitis during any given year using multivariable mixed effects logistic regression models. These variables were chosen a priori and were all included in the final models, regardless of significance level in univariate analyses. We also examined atopic dermatitis activity and severity by age group. Disease activity was determined by dividing the number of years in which an individual had an additional diagnosis or treatment code for atopic dermatitis by the total number of years of follow-up for that individual. Disease severity was designated as mild, moderate, or severe based on treatment and referral patterns in a time-updated progressive manner. These designations were based on National Institute for Health and Care Excellence (NICE) treatment recommendations and have been used in prior studies [16, 17]. At any given point during follow-up, atopic dermatitis patients belonged to one of three severity categories: mild, moderate, or severe. By default, all individuals with atopic dermatitis were classified as having mild disease. They were classified as having moderate atopic dermatitis from the earliest of: 1) second potent topical steroid treatment within a year, or 2) first calcineurin inhibitor treatment (NICE recommends calcineurin inhibitors only as a second-line treatment for moderate-to-severe disease in the UK) [18]. Individuals were classified as having severe atopic dermatitis from the earliest of: 1) first systemic treatment for atopic dermatitis (i.e. a record of a prescription for cyclosporine, azathioprine, mycophenolate or methotrexate), or 2) first phototherapy code, or 3) first referral to secondary care for atopic dermatitis. Of note, only 3% of atopic dermatitis patients are managed by dermatologists in the UK, and referral to tertiary care is recommended for severe disease [19, 20]. Oral glucocorticoids were not included in the definition based on NICE guidance and international standards [18, 21]. Participants could progress from mild, to moderate, to severe disease but they did not necessarily have to progress in a stepwise order; they could be assigned directly to the severe atopic dermatitis category. However, participants were not considered to progress to less severe categories of atopic dermatitis—once defined as moderate, atopic dermatitis patients remained as such unless they developed severe atopic dermatitis; once defined as severe, atopic dermatitis patients remained as such.

Additional analyses

We performed additional analyses to examine the stability of our results to potential biases. First, to examine the possibility of bias due to short durations of follow-up, we repeated the calculation of disease activity after restricting to a subset of individuals with at least 2 years of follow-up. Second, we examined the possibility of ascertainment bias, given that young and old individuals are more likely to seek care and therefore may be more likely to receive atopic dermatitis diagnoses. In a random 1% sample of the population (N = 91,549), we recreated the graph depicting prevalence of disease by age after restricting the sample to individuals with at least one physician’s visit at that age. Finally, we recreated the same graph in a validation analysis using data from the 2005–2006 US National Health and Nutrition Examination Survey (NHANES). The NHANES 2005–2006 cohort was selected from among other waves of NHANES because it contained several questions specifically pertaining to atopic dermatitis and was administered to individuals of all ages (0–85+), demonstrating the greatest overlap in age with our sample in THIN. We combined questions as others have done [22] and examined three potential definitions related to atopic dermatitis: 1) Answered ‘yes’ to “Ever had an itchy rash which was coming and going for at least 6 months?” and “Itchy rash at any time in the last 12 months?” 2) Answered ‘yes’ to Definition 1 questions, and answered ‘yes’ to “Has this rash cleared up completely at any time during the last 12 months?” and “Itchy rash at any time affecting: the folds of the elbows, behind the knees, in front of the ankles, under the buttocks, or around the neck, ears, or eyes?” 3) Answered ‘yes’ to Definition 1 questions, and answered ‘yes’ to “Doctor or health professional ever told you that you had eczema?” An explanation for the measure of socioeconomic status used in this validation analysis is included in S1 Methods.

Missing data

We examined patterns of missing data by age and atopic dermatitis status (S2 and S3 Tables). For the primary analysis, we performed a complete case analysis. To explore the effect of missing data, we performed multiple imputation with iterative chained equations to impute missing covariate data in setting and Townsend Score. Given the large number of observations in this dataset and the nature of repeated measures, we performed multiple imputation on a random 1% sample of the population (N = 91,549). Ten imputed datasets were generated, and the average results from repeated analyses were compared with complete case analysis in the same random 1% sample. All statistical analyses were performed using Stata 16.1 (StataCorp).

Results

Participant characteristics

We identified 894,454 individuals who ever met the definition for atopic dermatitis among a total population of 9,154,936. On average, a greater proportion of participants with atopic dermatitis was female, resided in an urban setting, and had higher socioeconomic status compared with non-atopic dermatitis patients (Table 1). Overall, 8.3% of participants were missing covariate data on the Townsend Deprivation Score and 20.9% were missing data on urban/rural setting. This proportion with missing data were similar between age group, though participants with missing data were less likely to have atopic dermatitis diagnoses (Table 1, S2 and S3 Tables).
Table 1

Participant characteristics.

CharacteristicAll (N = 9,154,936)Atopic dermatitis (N = 894,454)Non-atopic dermatitis (N = 8,260,482)
Age at start of follow-up, No. (%)
Children (0–17 years)1,400,354255,622 (18.3)1,144,732 (81.7)
Adults (18–74 years)6,731,678520,402 (7.7)6,211,276 (92.3)
Older adults (75–99 years)1,022,904118,430 (11.6)904,474 (88.4)
Sex, No. (%)
Male4,443,260396,760 (8.9)4,046,500 (91.1)
Female4,711,676497,694 (10.6)4,213,982 (89.4)
Setting, No. (%)
Urban5,906,148602,551 (10.2)5,303,597 (89.8)
Rural1,334,062138,072 (10.3)1,195,990 (89.7)
Missing1,914,726153,831 (8.0)1,760,895 (92.0)
Townsend score, No. (%)
1 (least deprived)1,887,796215,341 (11.4)1,672,455 (88.6)
21,687,078175,969 (10.4)1,511,109 (89.6)
31,771,062172,697 (9.8)1,598,365 (90.2)
41,745,740159,622 (9.1)1,586,118 (90.9)
5 (most deprived)1,307,708116,183 (8.9)1,191,525(91.1)
Missing755,55254,642 (7.2)700,910 (92.8)
Follow-up time
Mean years (SD)7.6 (6.4)10.7 (6.3)7.3 (6.3)

Atopic dermatitis prevalence by participant characteristic

Annual atopic dermatitis prevalence ranged by age from 6.1–21.2% among children ages 0–17, 3.5–7.8% among adults ages 18–74, and 7.0–9.3% among older adults ages 75–99. In mixed models, we found that the prevalence of atopic dermatitis increased with age among older adults (Adjusted Odds Ratio (AOR) 1.06, 95% CI 1.06–1.06, i.e. a 6% increase in odds per year of age), whereas the prevalence decreased by 14% annually among children (Fig 2 and Table 2).
Fig 2

Annual period prevalence of atopic dermatitis by participant characteristic and calendar period.

Local polynomial smoothed plots with shading indicating the 95% CIs generated from yearly cross-sectional calculations of the proportion of participants with prevalent atopic dermatitis from ages 0 to 99.

Table 2

Multivariable mixed effects logistic regression analysis of atopic dermatitis by age group, according to participant characteristic.

VariableAge Group
0–17 Years (N = 1,959,250)18–74 Years (N = 5,603,315)75–99 Years (N = 650,400)
AOR (95% CI) from regression model
Agea0.86 (0.86, 0.86)1.04 (1.03, 1.04)1.06 (1.06, 1.06)
Calendar year at end of follow-upa1.12 (1.11, 1.12)3.46 (3.40, 3.52)1.07 (1.07, 1.08)
Sex
MaleReference
Female1.16 (1.14, 1.18)2.72 (2.68, 2.76)0.73 (0.70, 0.76)
Setting
RuralReference
Urban1.24 (1.21, 1.26)1.13 (1.11, 1.15)1.09 (1.06, 1.14)
Townsend score
Townsend 1 (least deprived)Reference
Townsend 20.94 (0.92, 0.96)0.95 (0.94, 0.97)0.92 (0.87, 0.97)
Townsend 30.90 (0.88, 0.92)0.95 (0.93, 0.97)0.84 (0.80, 0.89)
Townsend 40.85 (0.83, 0.87)0.95 (0.93, 0.97)0.87 (0.82, 0.92)
Townsend 5 (most deprived)0.90 (0.88, 0.93)1.02 (1.00, 1.05)0.97 (0.91, 1.04)

Note. Each column represents a separate multivariable mixed effects logistic regression model. AOR = adjusted odds ratio.

a Modeled as a continuous variable, value represents adjusted odds of atopic dermatitis for each additional year of age or each additional calendar year, respectively.

Annual period prevalence of atopic dermatitis by participant characteristic and calendar period.

Local polynomial smoothed plots with shading indicating the 95% CIs generated from yearly cross-sectional calculations of the proportion of participants with prevalent atopic dermatitis from ages 0 to 99. Note. Each column represents a separate multivariable mixed effects logistic regression model. AOR = adjusted odds ratio. a Modeled as a continuous variable, value represents adjusted odds of atopic dermatitis for each additional year of age or each additional calendar year, respectively. Atopic dermatitis was less common among female older adults: they had about three-fourths the odds of prevalent disease as their male counterparts (AOR 0.73, 95% CI 0.70–0.76). In contrast, female adults ages 18–74 years had a nearly three times higher odds of atopic dermatitis (AOR 2.72, 95% CI 2.68–2.76) compared to males in their age group. The odds of atopic dermatitis were 9–24% higher in urban as compared to rural settings across the age categories. Socioeconomic trends differed only among children: the odds of atopic dermatitis were smaller in more deprived groups among those 0–17 years, though in adults ages 18–74 years and 75–99 years there was no difference between the most deprived and least deprived groups, though the intermediately deprived groups (Townsend 2–4) still had higher odds of atopic dermatitis compared to the least deprived group (Table 2). Analyses in a random 1% sample of the population showed similar results when performing complete case analysis compared to multiple imputation (S4 Table). A sensitivity analysis restricted to individuals with at least one physician’s visit during that year did not show evidence of ascertainment bias; although the prevalence was slightly higher at all ages, the shape of the curve was similar (S1 Fig). In a validation analysis using NHANES, a US population-based survey, we found a qualitatively similar trend in the sense that atopic dermatitis prevalence increased across adulthood—4.5–20.7% reported symptoms in the past year among those ages 75 and older (S2 Fig). Similar to our primary analysis, atopic dermatitis was also more common among male older adults.

Atopic dermatitis activity

Atopic dermatitis activity was highest in older adults (59.7%, 95% CI 59.5–59.9%), followed by children (48.4%, 95% CI 48.3–48.5%) then adults (42.2%, 95% CI 42.1–42.3%) (S3 Fig). The results were similar after restricting to participants with at least 2 years of follow-up time in a sensitivity analysis.

Atopic dermatitis severity

Across all ages, the majority of atopic dermatitis patients had mild disease (mean annual prevalence in children: 92.5%, adults: 77.1%, and older adults: 65.2%). The mean annual percentage of atopic dermatitis patients with moderate and severe disease was highest among older adults 31.8% and 3.0%, respectively (Fig 3). By the end of follow-up, 46.2% of older adults met the definition of moderate disease and 5.2% met the definition of severe disease. As described in the methods, oral glucocorticoids were not included in the severity definition. The proportion of individuals who received an oral glucocorticoid prescription (for any reason) was 8.7% of those designated as having mild atopic dermatitis at the end of follow-up, 15.4% of those with moderate atopic dermatitis, and 18.8% of those with severe atopic dermatitis.
Fig 3

Atopic dermatitis severity, by age group.

Mean percentage of patients in each age group (children, adults, and older adults) that meet the definition for mild, moderate, and severe atopic dermatitis. Bars indicate 95% confidence intervals.

Atopic dermatitis severity, by age group.

Mean percentage of patients in each age group (children, adults, and older adults) that meet the definition for mild, moderate, and severe atopic dermatitis. Bars indicate 95% confidence intervals.

Calendar trends

The total proportion of individuals with atopic dermatitis increased with calendar time (beta from linear regression test for trend in the change in proportion per year = 0.005, p = 0.044, S5 Table). In the most recent time span of 2008 to 2013, the increase in percent with atopic dermatitis plateaued in children and adults but continued to rise in older adults (Fig 2). Additionally, in the mixed models, odds of atopic dermatitis increased with calendar time, and the annual effect was strongest in adults ages 18–74 years (AOR 3.46, 95% CI 3.40–3.52) (Table 2).

Discussion

In a population-based cohort of over 9 million individuals from the UK, we found that the prevalence of adult atopic dermatitis increased over time and with age. In comparison to children ages 0–17 and adults ages 18–74, atopic dermatitis among older adults ages 75–99 years was active for a greater proportion of the follow-up time, more likely to be moderate or severe, and more likely to occur in men. Although there are a few other studies that focus specifically on the epidemiology of atopic dermatitis among older adults, review of additional population-based cohorts, including the US NHANES validation cohort presented herein, the 2010 US National Health Interview Survey (NHIS) data [23], and two additional UK-based sources [24, 25] support our findings. The period prevalence of self-reported atopic dermatitis in the 2010 NHIS was similar to our findings: 9.0% among younger adults ages 18–32 and 11.4% among older adults ages 62–85. Our findings are also consistent with published literature on calendar trends in children and younger adults: a systematic review and meta-analysis found there was a >10% increase in lifetime prevalence of atopic dermatitis in the UK between 1990 and 2010 [26]. However, only one of 69 studies from this review included older adults from the time span of 2001–2005; our study builds on this literature by including data on a large population of older adults over a 20-year period. Patient characteristics differed between age groups. For instance, similar to others, we found that atopic dermatitis was more than twice as common among females compared to males in the 18–74 age group [27-29]. However, our data suggest it is more common among males compared to females in the 75–99 age group, which is consistent with data from studies of smaller clinical population [30-32]. The reason for this is unclear; other authors have hypothesized that higher average estradiol levels in older men compared to older women may impact the production of cytokines that lead to the predominance of atopic dermatitis seen in older adult males [7]. In terms of socioeconomic status (SES), similar to older reviews, our study found a positive association of atopic dermatitis with less deprived or higher SES in children, whereas in adults the association was less pronounced. A systematic review and meta-analysis found that atopic dermatitis is more common among groups with higher SES, though these were primarily studies of children [33]. More recent studies have found that this association was strongest early in life, but that atopic dermatitis was more common among lower socioeconomic groups in adulthood or did not vary by SES [5, 25, 34]. Additional study is warranted to explore possible mechanisms for these findings. Finally, atopic dermatitis was more common in urban areas at all ages, a finding that may relate to lifestyle or environmental characteristics such as the types of microbes or increased pollution encountered in urban settings [35, 36]. Limitations of our study include the possibility for misclassification bias, which may be higher in adults than children, given a more heterogeneous presentation and a greater chance for other common adult skin conditions to overlap with or be misdiagnosed as atopic dermatitis. We used a validated algorithm of physician diagnoses with good positive predictive value for both children and adults in this cohort [9], and a previous study using this algorithm showed similar prevalence curves even after adjusting for potential misdiagnosis of conditions on the differential diagnosis of atopic dermatitis (e.g. psoriasis, contact dermatitis, scabies, seborrheic dermatitis, and drug- or photo-induced dermatitis) [3]. Another limitation relates to the lack of detailed measures of disease activity, severity, and clinical presentation. We relied on time-updated electronic medical record-based measures of disease activity and severity because a large population-based cohort is needed to establish epidemiologic trends. While more detailed data would be useful to additionally characterize atopic dermatitis among older adults, it is likely to come from smaller and less representative populations. To address issues with missing data, we performed multiple imputation in a random 1% sample of the population and found the results consistent with those of complete case analysis in this sample. Finally, although we had standardized data on participants ages 0–99, the mean duration of follow-up was only 7.6 years, and as such we are unable to track an individual’s disease severity and activity across the lifespan. Additional work is needed to further elucidate individual changes in disease activity and severity across age groups. Of note, in our validation analysis using NHANES data, the trend of increasing prevalence among older adults was sensitive to the specific question used–the prevalence did not increase among those also reporting flexural rashes and physician diagnosis. This could be because these questions were designed to detect atopic dermatitis in children and younger adults, who more commonly present with flexural disease and may be more likely to be recognized and diagnosed by physicians [6, 7]. Future research should examine the validity of diagnostic criteria among older adults and regional variations in physician diagnosis and terminology. There are a number of reasons why additional study of atopic dermatitis among older adults is important. First, older adults are the most rapidly increasing demographic segment [8], and atopic dermatitis appears to be increasing among this group. Second, older adults are at greater risk for a number of comorbid conditions that may be more common among individuals with atopic dermatitis, including depression and anxiety, cardiovascular disease, osteoporosis, and dementia [37-39]. Third, the clinical presentation and underlying pathogenesis may differ among this age group. Previous studies have found that atopic dermatitis presents in a different distribution on the body in older adults—instead of the classic flexural lichenification found in children and younger adults, atopic dermatitis in older adults more often has reverse signs of lichenification around unaffected elbow and knee folds and higher incidence on the buttocks and genitals instead of on the face and scalp [7, 40]. Moreover, older adults may have other common pruritic skin conditions that must be ruled out prior to the diagnosis of atopic dermatitis. Additionally, they may also have other coexisting health conditions and are more likely to take systemic medications that may cause pruritus and rash that could be mistaken for atopic dermatitis [7]. Additional research is needed to refine diagnostic criteria, assess detailed clinical characteristics, ascertain the inflammatory profile and biomarkers in this population, and identify disease triggers. Finally, this population is less likely to be represented in clinical trials [41], and should be considered for inclusion in testing new small molecules and biologic agents for atopic dermatitis.

Correcting for ascertainment bias.

Local polynomial smoothed plots with shading indicating the 95% CIs generated from yearly cross-sectional calculations of the prevalence of atopic dermatitis from ages 0 to 99 within a 1% random sample of the population. In a correction for ascertainment bias, the prevalence of atopic dermatitis by year of age was restricted to those who had at least one medical code corresponding to a physician’s visit during that year. (PDF) Click here for additional data file.

Prevalence of atopic dermatitis across age in the 2005–2006 NHANES.

Local polynomial smoothed plots with shading indicating the 95% CIs generated from yearly cross-sectional calculations of the percent with prevalent atopic dermatitis during the past year from ages 0 to 85+. A) Three definitions representing prevalence of atopic dermatitis were formed by separate combinations of survey questions relevant to atopic dermatitis B) Prevalence of atopic dermatitis by sex using Definition 1 and C) Prevalence of atopic dermatitis by income using Poverty Income Ratio (PIR) using Definition 1. (PDF) Click here for additional data file.

Atopic dermatitis activity, by age group.

Mean proportion of years with prevalent atopic dermatitis as a percent of total years of follow-up 95% confidence interval by age group. Primary analysis includes atopic dermatitis activity regardless of the number of years of follow-up. Sensitivity analysis excludes those with less than 2 years of follow-up time (total of 2.3% of individuals across all age groups). (PDF) Click here for additional data file.

Atopic dermatitis diagnosis and therapy codes.

(PDF) Click here for additional data file.

Proportion of missing data for setting by age group.

(PDF) Click here for additional data file.

Proportion of missing data for Townsend score by age group.

(PDF) Click here for additional data file.

Mixed effects logistic regression results for complete case analysis and multiple imputation in random 1% sample of population.

(PDF) Click here for additional data file.

Mean percent of atopic dermatitis across age groups by 5-year time spans from 1994–2013.

(PDF) Click here for additional data file.

Socioeconomic status in the NHANES validation analysis.

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The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf 2. Thank you for stating the following in the Competing Interests section: I have read the journal's policy and the authors of this manuscript have the following competing interests: KA is a consultant for TARGET RWE, a company developing an atopic disease research registry, and her institution receives investigator-initiated grants from Pfizer. DJM receives funding to the University of Pennsylvania from Valeant for studies not directly related to this manuscript. He receives consulting funds from Leo, Sanofi, and Pfizer for topics related to atopic eczema but not this manuscript. No other disclosures were reported. Please confirm that this does not alter your adherence to all PLOS ONE policies on sharing data and materials, by including the following statement: "This does not alter our adherence to  PLOS ONE policies on sharing data and materials.” (as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests).  If there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared. Please include your updated Competing Interests statement in your cover letter; we will change the online submission form on your behalf. 3. We note that you have included the phrase “data not shown” in your manuscript. Unfortunately, this does not meet our data sharing requirements. PLOS does not permit references to inaccessible data. We require that authors provide all relevant data within the paper, Supporting Information files, or in an acceptable, public repository. Please add a citation to support this phrase or upload the data that corresponds with these findings to a stable repository (such as Figshare or Dryad) and provide and URLs, DOIs, or accession numbers that may be used to access these data. Or, if the data are not a core part of the research being presented in your study, we ask that you remove the phrase that refers to these data. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. Additional Editor Comments: Thank you for submitting your manuscript “The epidemiology of atopic eczema in older adults: A population-based study in the United Kingdom” to Plos One. The reviewers and I believe it is of potential value for our readers. However, the reviewers have raised a number of very important issues, esp. R1-2, and their excellent comments will need to be adequately addressed in a revision before the acceptability of your manuscript for publication in the Journal can be determined. Also I have some minor comments. #1. Although your group have published the top tier journal using the terms atopic eczema, atopic dermatitis is the most commonly used term. Kantor R, Thyssen JP, Paller AS, Silverberg JI. Atopic dermatitis, atopic eczema, or eczema? A systematic review, meta-analysis, and recommendation for uniform use of 'atopic dermatitis'. Allergy. 2016 Oct;71(10):1480-5. doi: 10.1111/all.12982. Epub 2016 Aug 3. PMID: 27392131; PMCID: PMC5228598. #2. In abstract, please describe the AD algorithm briefly to reduce the reading burden for our readers. #3. In abstract results, describe more information like Global Burden Disease paper or Lancet style. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Dear authors The subject is interesting and the text is well written, but the conclusions are poor and do not fully respond to the proposed objectives. Some references need to be adequate within the journal's norms. I think that manuscript is adequate for publication after the adjustments. Reviewer #2: This is an interesting and well-designed study that addresses the prevalence and characteristics of atopic eczema in the elderly, using a large population based database in the UK. The study reports that physician-diagnosed atopic eczema is highly prevalent in the older adult population, and has higher activity and severity than in other age groups. The manuscript is methodologically sound and well-written. It has no major flaws, but there are some minor issues to consider: 1. (Page 5 line 113) It would be helpful to the reader and other researchers to provide the full code list of atopic eczema diagnoses and therapies as a supplement. 2. (Page 7 line 152) While it is agreeable that the use of oral corticosteroids is not included in the definition of mild/moderate/severe eczema, it is an important confounding factor in atopic eczema symptoms. Please address this issue and if possible provide percentage of patients using oral corticosteroids within each severity group. 3. (Page 9 line 187, 195, Page11 Table 2) A substantial proportion of participants (8.3% on urban/rural setting, and 20.9% on Townsend Deprivation Score) have missing data. If the data is considered missing at random, has multiple imputation been considered? Also, the participants with missing Townsend Scores are less likely to have atopic eczema. This may influence the association between Townsend Scores and eczema prevalence for each age group. Please provide data on missing values and eczema prevalence for each age group. 4. (Page15 line 297) The algorithm to define atopic eczema used in this study has been validated in a prior study (Abuabara K, et al., Invest Dermatol. 358 2017;137(8):1655–62.) in children and adults, but has this been validated in the elderly (75-99) as well? ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Marilda Aparecida Milanez Morgado de Abreu Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 16 Aug 2021 Katrina Abuabara, MD, MA, MSCE Associate Professor of Dermatology Associate Adjunct Professor of Epidemiology (UC Berkeley) 2340 Sutter Street, N421 San Francisco, CA 94143-0808 katrina.abuabara@ucsf.edu Editor 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. We ensured that our manuscript meets PLOS ONE’s style requirements and file naming guidelines. 2. Thank you for stating the following in the Competing Interests section: I have read the journal's policy and the authors of this manuscript have the following competing interests: KA is a consultant for TARGET RWE, a company developing an atopic disease research registry, and her institution receives investigator-initiated grants from Pfizer. DJM receives funding to the University of Pennsylvania from Valeant for studies not directly related to this manuscript. He receives consulting funds from Leo, Sanofi, and Pfizer for topics related to atopic eczema but not this manuscript. No other disclosures were reported. Please confirm that this does not alter your adherence to all PLOS ONE policies on sharing data and materials, by including the following statement: "This does not alter our adherence to PLOS ONE policies on sharing data and materials.” We have added this revised statement to our cover letter and confirmed with our co-authors that there are no restrictions on sharing of data and/or materials. 3. We note that you have included the phrase “data not shown” in your manuscript. Unfortunately, this does not meet our data sharing requirements. PLOS does not permit references to inaccessible data. We require that authors provide all relevant data within the paper, Supporting Information files, or in an acceptable, public repository. Please add a citation to support this phrase or upload the data that corresponds with these findings to a stable repository (such as Figshare or Dryad) and provide and URLs, DOIs, or accession numbers that may be used to access these data. Or, if the data are not a core part of the research being presented in your study, we ask that you remove the phrase that refers to these data. Thank you for pointing this out. We have removed the phrase “data not shown” and instead added detailed tables on missing data in the Supporting Information (S1 Table and S2 Table). 4. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. We have ensured that the references are accurate, none have been retracted, and they are in the proper citation style. We noted articles by de Lusignan et al. and Blak et al. were listed twice, which we corrected. Online reports were also updated to the correct citation format. We also replaced one citation (Bieber T. Atopic Dermatitis. N Engl J Med. 2008 Apr 3;358(14):1483–94) with a more updated review article (Langan SM, Irvine AD, Weidinger S. Atopic dermatitis. Lancet. 2020 Aug 1;396(10247):345–60). We added one citation (Asher MI, Keil U, Anderson HR, Beasley R, Crane J, Martinez F, et al. International Study of Asthma and Allergies in Childhood (ISAAC): rationale and methods. Eur Respir J. 1995;8(3):483–91.) to provide more clarity for our additional analysis. 5. Although your group have published the top tier journal using the terms atopic eczema, atopic dermatitis is the most commonly used term. Kantor R, Thyssen JP, Paller AS, Silverberg JI. Atopic dermatitis, atopic eczema, or eczema? A systematic review, meta-analysis, and recommendation for uniform use of 'atopic dermatitis'. Allergy. 2016 Oct;71(10):1480-5. doi: 10.1111/all.12982. Epub 2016 Aug 3. PMID: 27392131; PMCID: PMC5228598. Unfortunately, there is a lack of consensus on terminology in this field. A more recent citation by some of the same authors using survey data from the International Eczema Council concluded that “atopic eczema” is also a recommended term (Silverberg JI, Thyssen JP, Paller AS, Drucker AM, Wollenberg A, Lee KH, Kabashima K, Todd G, Schmid-Grendelmeier P, Bieber T. What's in a name? Atopic dermatitis or atopic eczema, but not eczema alone. Allergy. 2017 Dec;72(12):2026-2030. doi: 10.1111/all.13225. Epub 2017 Jun 30. PMID: 28605026). We had chosen atopic eczema to reflect the more common terminology used in the UK, where the cohort is based. Nonetheless, to facilitate consistency within the journal, we have changed “atopic eczema” to “atopic dermatitis” throughout the manuscript and figures/tables. 6. In abstract, please describe the AD algorithm briefly to reduce the reading burden for our readers. We have included a description of the AD algorithm in the Methods subsection of the abstract as follows: “Atopic dermatitis was defined by a previously validated algorithm using a combination of at least one recorded atopic dermatitis diagnostic code in primary care and two atopic dermatitis therapies recorded on separate days.” 7. In abstract results, describe more information like Global Burden Disease paper or Lancet style. Thank you for your suggestion. We have described more information in our abstract results section as follows: “Results: Physician-diagnosed atopic dermatitis was identified in 894,454 individuals with the following proportions in each age group: 18.3% of children, 7.7% of adults, and 11.6% of older adults. Additionally, atopic dermatitis prevalence increased across the 2-decade period (beta from linear regression test for trend in the change in proportion per year = 0.005, p=0.044). In older adults, atopic dermatitis was 27% less common among females (adjusted OR 0.73, 95% CI 0.70-0.76) and was more likely to be active (59.7%, 95% CI 59.5-59.9%) and of higher severity (mean annual percentage with moderate and severe disease: 31.8% and 3.0%, respectively) than in other age groups.” Reviewer #1 1. The subject is interesting and the text is well written, but the conclusions are poor and do not fully respond to the proposed objectives. We reviewed the conclusions to ensure they align directly with the objectives and added more detail to fully convey the significance and future directions to readers as follows: “In a large population-based cohort, the prevalence of physician-diagnosed atopic dermatitis in adulthood has increased over time and was found to be most common in males among those 75 years and older. Compared to children ages 0-17 and adults ages 18-74, atopic dermatitis in older adults ages 75-99 was also more active and severe. Because the prevalence of atopic dermatitis among older adults has increased over time, additional characterization of disease triggers and mechanisms and targeted treatment recommendations are needed for this population.” 2. Some references need to be adequate within the journal's norms. Thank you for pointing this out. As described above, we have reviewed the references and corrected those that were not within the journal’s norms. Reviewer #2: 1. (Page 5 line 113) It would be helpful to the reader and other researchers to provide the full code list of atopic eczema diagnoses and therapies as a supplement. Thank you for your suggestion. We have included the full code list for atopic dermatitis diagnoses and therapies in the Supporting Information (S1 Table). 2. (Page 7 line 152) While it is agreeable that the use of oral corticosteroids is not included in the definition of mild/moderate/severe eczema, it is an important confounding factor in atopic eczema symptoms. Please address this issue and if possible provide percentage of patients using oral corticosteroids within each severity group. Thank you for your comment. We added the proportion of individuals who received systemic corticosteroids (oral or injectable) in each severity group to the Results section of the manuscript as follows: “The proportion of individuals who received an oral glucocorticoid prescription (for any reason) was 8.7% of those designated as having mild atopic dermatitis at the end of follow-up, 15.4% of those with moderate atopic dermatitis, and 18.8% of those with severe atopic dermatitis.” If a patient with atopic dermatitis were to receive only systemic corticosteroids as treatment in any given year, it is possible that we may underestimate disease activity. This is unlikely to serve as an important confounder, however, given that our definition of disease activity also included medical codes and other treatment codes. 3. (Page 9 line 187, 195, Page11 Table 2) A substantial proportion of participants (8.3% on urban/rural setting, and 20.9% on Townsend Deprivation Score) have missing data. If the data is considered missing at random, has multiple imputation been considered? Also, the participants with missing Townsend Scores are less likely to have atopic eczema. This may influence the association between Townsend Scores and eczema prevalence for each age group. Please provide data on missing values and eczema prevalence for each age group. We have provided data on missing values and eczema prevalence for each age group in the Supporting Information (S2 Table and S3 Table). To address issues surrounding missing data, we performed multiple imputation using a random 1% sample of the population. The results were consistent between the multiple imputation and complete case analysis and have included these results in the Supporting Information (S4 Table). 4. (Page15 line 297) The algorithm to define atopic eczema used in this study has been validated in a prior study (Abuabara K, et al., Invest Dermatol. 358 2017;137(8):1655–62.) in children and adults, but has this been validated in the elderly (75-99) as well? Thank you for the opportunity to clarify. Yes, this algorithm has been validated in ages 75-99 as well. We added the PPV for this age group to the Variables subsection of the Methods for clarity as follows: “The positive predictive value of this algorithm for identifying physician-confirmed atopic dermatitis among all adults over age 18 was 82% (95% CI 73-89%). Among the subset of adults in this sample over age 75, the positive predictive value was 85% (95% CI 55-98%).” Submitted filename: Response to Reviewers.docx Click here for additional data file. 22 Sep 2021 The epidemiology of atopic dermatitis in older adults: A population-based study in the United Kingdom PONE-D-21-12334R1 Dear Dr. Abuabara, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Dong Keon Yon, MD, FACAAI Academic Editor PLOS ONE Additional Editor Comments (optional): I congratulate you on this mesmerizing work. Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The authors have adequately addressed my comments raised in a previous round of review. This manuscript is now acceptable for publication. Reviewer #2: The authors have thoroughly responded to all the comments and made corrections in the revised manuscript. In my view, the manuscript is acceptable for publication in the current state. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No 27 Sep 2021 PONE-D-21-12334R1 The epidemiology of atopic dermatitis in older adults: A population-based study in the United Kingdom Dear Dr. Abuabara: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Dong Keon Yon Academic Editor PLOS ONE
  34 in total

1.  Adult eczema in Italy: prevalence and associations with environmental factors.

Authors:  G Pesce; A Marcon; A Carosso; L Antonicelli; L Cazzoletti; M Ferrari; A G Fois; P Marchetti; M Olivieri; P Pirina; G Pocetta; R Tassinari; G Verlato; S Villani; R de Marco
Journal:  J Eur Acad Dermatol Venereol       Date:  2014-11-02       Impact factor: 6.166

2.  Inclusion of Older Adults in Randomized Clinical Trials for Systemic Medications for Atopic Dermatitis: A Systematic Review.

Authors:  Megan Lam; Jie Wei Zhu; Talha Maqbool; Gaelen Adam; Mina Tadrous; Paula Rochon; Aaron M Drucker
Journal:  JAMA Dermatol       Date:  2020-11-01       Impact factor: 10.282

3.  Urban vs rural residency and allergy prevalence among adult women: Iowa Women's Health Study.

Authors:  Niharika P Patel; Anna E Prizment; Bharat Thyagarajan; Evan Roberts; Heather H Nelson; Timothy R Church; DeAnn Lazovich
Journal:  Ann Allergy Asthma Immunol       Date:  2018-04-06       Impact factor: 6.347

4.  International Study of Asthma and Allergies in Childhood (ISAAC): rationale and methods.

Authors:  M I Asher; U Keil; H R Anderson; R Beasley; J Crane; F Martinez; E A Mitchell; N Pearce; B Sibbald; A W Stewart
Journal:  Eur Respir J       Date:  1995-03       Impact factor: 16.671

5.  Development and Validation of an Algorithm to Accurately Identify Atopic Eczema Patients in Primary Care Electronic Health Records from the UK.

Authors:  Katrina Abuabara; Alexa M Magyari; Ole Hoffstad; Zarif K Jabbar-Lopez; Liam Smeeth; Hywel C Williams; Joel M Gelfand; David J Margolis; Sinead M Langan
Journal:  J Invest Dermatol       Date:  2017-04-18       Impact factor: 8.551

6.  Severe and predominantly active atopic eczema in adulthood and long term risk of cardiovascular disease: population based cohort study.

Authors:  Richard J Silverwood; Harriet J Forbes; Katrina Abuabara; Anna Ascott; Morten Schmidt; Sigrún A J Schmidt; Liam Smeeth; Sinéad M Langan
Journal:  BMJ       Date:  2018-05-23

7.  Systemic Immunomodulatory Treatments for Patients With Atopic Dermatitis: A Systematic Review and Network Meta-analysis.

Authors:  Aaron M Drucker; Alexandra G Ellis; Michal Bohdanowicz; Soudeh Mashayekhi; Zenas Z N Yiu; Bram Rochwerg; Sonya Di Giorgio; Bernd W M Arents; Tim Burton; Phyllis I Spuls; Denise Küster; Doreen Siegels; Jochen Schmitt; Carsten Flohr
Journal:  JAMA Dermatol       Date:  2020-06-01       Impact factor: 10.282

8.  Atopic Eczema in Adulthood and Risk of Depression and Anxiety: A Population-Based Cohort Study.

Authors:  Yochai Schonmann; Kathryn E Mansfield; Joseph F Hayes; Katrina Abuabara; Amanda Roberts; Liam Smeeth; Sinéad M Langan
Journal:  J Allergy Clin Immunol Pract       Date:  2019-08-31

9.  Use of systemic corticosteroids for atopic dermatitis: International Eczema Council consensus statement.

Authors:  A M Drucker; K Eyerich; M S de Bruin-Weller; J P Thyssen; P I Spuls; A D Irvine; G Girolomoni; S Dhar; C Flohr; D F Murrell; A S Paller; E Guttman-Yassky
Journal:  Br J Dermatol       Date:  2018-01-28       Impact factor: 9.302

10.  Atopic eczema and fracture risk in adults: A population-based cohort study.

Authors:  Katherine E Lowe; Kathryn E Mansfield; Antonella Delmestri; Liam Smeeth; Amanda Roberts; Katrina Abuabara; Daniel Prieto-Alhambra; Sinéad M Langan
Journal:  J Allergy Clin Immunol       Date:  2019-11-19       Impact factor: 10.793

View more
  3 in total

1.  Treatment Patterns among Patients with Atopic Dermatitis in Secondary Care: A National, Observational, Non-interventional, Retrospective Study in Sweden.

Authors:  Emma K Johansson; Andreas Brenneche; Dennis Trangbaek; M Natalia Stelmaszuk; Jonatan Freilich; Chris D Anderson
Journal:  Acta Derm Venereol       Date:  2022-09-06       Impact factor: 3.875

Review 2.  Immunological Pathomechanisms of Spongiotic Dermatitis in Skin Lesions of Atopic Dermatitis.

Authors:  Ryoji Tanei; Yasuko Hasegawa
Journal:  Int J Mol Sci       Date:  2022-06-15       Impact factor: 6.208

3.  The Role of Oxidative Stress in Atopic Dermatitis and Chronic Urticaria.

Authors:  Sabina Galiniak; Mateusz Mołoń; Marek Biesiadecki; Agnieszka Bożek; Marta Rachel
Journal:  Antioxidants (Basel)       Date:  2022-08-16
  3 in total

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