Skin barrier impairment and familial atopy have been implicated as crucial risk factors for the development of atopic dermatitis (AD). Additional risk factors have been explored, including gestational weight, height, age, familial smoking habits, proximity to urban centers and others. However, a comprehensive study focusing on the entire spectrum of risk factors has yet to be undertaken. Such a study could enable predictive capabilities able to inform medical professionals as to a newborn's inherent risk to develop AD, and potentially recommend appropriate preventative modalities to prevent or delay disease onset.
Study Type
OBSERVATIONAL
Enrollment
252
Meir Medical Center
Kfar Saba, Israel
Poriya Medical Center
Tiberias, Israel
To determine whether MyOR's Precision Infant Care (PIC) Algorithm accurately predicts the risk of developing atopic dermatitis
Evaluated using MyOR's Precision Infant Care (PIC) Algorithm V1.0
Time frame: 24 months
To determine whether the combined information of familial history of atopy, TEWL, and other risk factors can effectively predict the risk of developing AD at six months of age.
Evaluated using the UK refinement of the Hanifin and Rajka diagnostic criteria for atopic eczema.
Time frame: 6 months
To determine whether the combined information of familial history of atopy, TEWL, and other risk factors can effectively predict the risk of developing AD at two years of age.
Evaluated using the UK refinement of the Hanifin and Rajka diagnostic criteria for atopic eczema.
Time frame: 24 months
To determine whether the combined information of familial history of atopy, TEWL, and other risk factors can effectively predict the severity of AD
Assessed using the Patient-Oriented Eczema Measure (POEM) questionnaire and accompanying scoring criteria.
Time frame: 6 months
To determine whether the combined information of familial history of atopy, TEWL, and other risk factors can effectively predict the severity of AD
Assessed using the Patient-Oriented Eczema Measure (POEM) questionnaire and accompanying scoring criteria.
Time frame: 12 months
To determine whether the combined information of familial history of atopy, TEWL, and other risk factors can effectively predict the severity of AD
Assessed using the Patient-Oriented Eczema Measure (POEM) questionnaire and accompanying scoring criteria.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Time frame: 24 months
3. To determine whether the combined information of familial history of atopy, TEWL, and other risk factors can effectively predict the age of onset of AD
Evaluated using the UK refinement of the Hanifin and Rajka diagnostic criteria for atopic eczema.
Time frame: 24 months
To determine whether the combined information of familial history of atopy, TEWL, and other risk factors can effectively predict the risk of developing food allergies
Evaluated using the 2010 U.S. Food and Drug Administration Food Safety Survey Questionnaire
Time frame: 12 months
To determine whether the combined information of familial history of atopy, TEWL, and other risk factors can effectively predict the risk of developing food allergies
Evaluated using the 2010 U.S. Food and Drug Administration Food Safety Survey Questionnaire
Time frame: 24 months
To determine whether MyOR's Precision Infant Care (PIC) Algorithm accurately predicts the risk of developing atopic dermatitis
Evaluated using MyOR's Precision Infant Care (PIC) Algorithm V1.0
Time frame: 12 months
To determine whether MyOR's Precision Infant Care (PIC) Algorithm accurately predicts the risk of developing food allergies
Evaluated using MyOR's Precision Infant Care (PIC) Algorithm V1.0
Time frame: 24 months
To determine whether the combined information of familial history of atopy, TEWL, and other risk factors can effectively predict the risk of development AD at one year of age
Evaluated using the UK refinement of the Hanifin and Rajka diagnostic criteria for atopic eczema. .
Time frame: 12 months