Perspective - (2022) Volume 13, Issue 5

Prevalence of Atopic Dermatitis and Chronic Inflammatory Skin Disorders in Children and the Role of Sequential Pattern Mining
 
Department of Allergy and Immunology, Lovelace Respiratory Research Institute, Albuquerqueuni, United States
 
*Correspondence: Zhang Ibisanmi, Department of Allergy and Immunology, Lovelace Respiratory Research Institute, Albuquerqueuni, United States, Email:

Received: 02-May-2022, Manuscript No. JAT-22-16919; Editor assigned: 06-May-2022, Pre QC No. JAT-22-16919 (PQ); Reviewed: 20-May-2022, QC No. JAT-22-16919; Revised: 30-May-2022, Manuscript No. JAT-22-16919 (R); Published: 07-Jun-2022, DOI: 10.35248/2155-6121.22.13.287

Description

Atopic Dermatitis (AD) is a recurrent, chronic inflammatory skin illness that affects 15%-30% of children globally and 2%-10% of adults. The epidermal barrier is known to be impaired in Alzheimer's disease, as of the skin innate immune response. AD is associated with a continuous itching sensation, sleep disturbances, and a reduction in daily, school, and work activities, and people with AD are more susceptible to cutaneous and non-cutaneous infections.

Sequential Pattern Mining (SPM) is a well-designed method for evaluating many sequential data sets with frequent association rules, compared to other association rule mining methods. SPM is based on and used in the retail industry to examine point-ofsale transaction history. In the medical field, SPM can be used to find common patterns or behaviours in a dataset, as well as identifying indicators of concomitant disorders when a patient's medical record contains many disorders.

SPM was used in this nationwide population-based on cohort study to assess the comorbidity of Alzheimer's disease and viral diseases. Our research also looked into the time it takes for infectious diseases caused by Alzheimer's disease to appear. According to our study, persons with Alzheimer's disease have a much higher risk of infectious illnesses than people without the disease. Molluscum contagiosum was the infectious disease with the largest increased risk in Alzheimer's patients compared to controls. Furthermore, patients with AD had a shorter time to initial diagnosis of infectious illnesses, particularly molluscum contagiosum, than patients without AD, which was about 2 months after the diagnosis of AD.

Persons with Alzheimer's disease are more likely to get cutaneous and extracutaneous infectious diseases. Our results suggest that AD increases the risk of infectious disorders, such as molluscum contagiosum, impetigo, viral warts, EH, viral conjunctivitis, and otitis media. According to previous research, bacterial infection is the most common infection in Alzheimer's disease, and Staphylococcus aureus is the most common bacterial which causes number of barrier dysfunction, immunological dysregulation, low antimicrobial peptides and increased bacterial colonization. The use of immunosuppressive medicines for the treatment of Alzheimer’s disease has been proposed as mechanisms for increased bacterial infection.

The probability of developing a viral wart was 1.105 times higher in Alzheimer's patients than in people without the disease, with confidence level less than 0.5%. The onset took place about 5-6 months following the diagnosis of Alzheimer's disease. It is well known that warts spread more easily in an AD environment. In this study, children with warts and atopic dermatitis had more infections and food allergies, as well as a higher risk of hay fever and asthma, than children with either illness alone. This investigation found that AD patients without other atopic illnesses had a slightly lower risk of warts than controls, which differed from our findings. However, AD patients with additional atopic illnesses had a higher probability of developing warts.

The parameters for the SPM were defined as the probabilities of occurrence, and the duration values, which were defined as the average occurrence times, to analyse the association between AD and infectious illnesses by time differences.

Citation: Ibisanmi Z (2022) Prevalence of Atopic Dermatitis and Chronic Inflammatory Skin Disorders in Children and the Role of Sequential Pattern Mining. J Allergy Ther. 13:287.

Copyright: © 2022 Ibisanmi Z. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.