Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Meir Medical Center | OTHER |
| The Baruch Padeh Medical Center, Poriya | OTHER_GOV |
Not provided
Not provided
Not provided
Not provided
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.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| 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 | 24 months |
| Measure | Description | Time Frame |
|---|---|---|
| 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. | 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. |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Neonates will be recruited from maternity wards amongst the general population within the first five days of life
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Tatiana Smolkin, MD | Poriah Medical Center | Principal Investigator |
| Tzofia Bauer, MD | Meir Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Meir Medical Center | Kfar Saba | Israel | ||||
| Poriya Medical Center |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 36282128 | Derived | Brandwein M, Gamrasni K, Landau T, Bauer-Rusek S, Smolkin T. Nurture, not nature: Impaired skin barrier in infants born to urban households. Pediatr Allergy Immunol. 2022 Oct;33(10):e13868. doi: 10.1111/pai.13868. No abstract available. |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D003876 | Dermatitis, Atopic |
| ID | Term |
|---|---|
| D012873 | Skin Diseases, Genetic |
| D030342 | Genetic Diseases, Inborn |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D003872 | Dermatitis |
Not provided
Not provided
Not provided
Not provided
Not provided
Evaluated using the UK refinement of the Hanifin and Rajka diagnostic criteria for atopic eczema. |
| 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. | 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. | 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. | 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. | 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 | 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 | 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 | 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 | 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. . | 12 months |
| Tiberias |
| Israel |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D017443 | Skin Diseases, Eczematous |
| D006969 | Hypersensitivity, Immediate |
| D006967 | Hypersensitivity |
| D007154 | Immune System Diseases |