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Atopic dermatitis associated with autoimmune, cardiovascular and mental health comorbidities: a systematic review and meta-analysis

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EUROPEAN JOURNAL OF DERMATOLOGY
卷 32, 期 1, 页码 34-48

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JOHN LIBBEY EUROTEXT LTD
DOI: 10.1684/ejd.2021.4168

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atopic dermatitis; eczema; autoimmune diseases; systemic diseases; mental health; epidemiology

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A systematic review revealed that patients with atopic dermatitis (AD) have a significantly higher risk of autoimmune diseases and mental illnesses, but a relatively lower risk of cardiovascular diseases. This updated global estimate could empower physicians and patients to seek further interventions for optimal patient care.
Background Previous studies have reported conflicting estimates of associations between atopic dermatitis (AD) and autoimmune, cardiovascular and mental health comorbidities. Objectives Our objective was to determine and report these global associations based on a systematic literature review. Materials & Methods A systematic search of studies published in PubMed/MEDLINE and Cochrane Library (January 1990-April 2020) including patients with physician-diagnosed AD and concurrent populations, were identified. The metanalysis (random-effect model) included 37 studies. Studies originated from Europe, UK, Asia, The USA and Canada, including 237,226,993 patients and subjects with 20 autoimmune, eight cardiovascular and eight mental illnesses. Results Pooled analyses revealed significantly higher overall odds of autoimmune diseases (OR: 1.74; 95% CI: 1.55-1.94, p < 0.001; I2:98.39%) and mental illnesses (OR: 1.62; 95% CI: 1.53-1.72; p < 0.001; I2: 98.86%) and a smaller increased risk for cardiovascular diseases (OR: 1.08; 95% CI: 0.01-1.16, p < 0.001; I2: 99.45%). Conclusion Our systematic review highlights that AD patients are at significantly increased risk for many autoimmune diseases and mental illnesses and at a relatively lower risk for cardiovascular diseases. Updated global estimates should encourage physician/patient empowerment to seek further medical and wellness interventions for optimal patient care

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