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Predicting the Outcome of Pediatric Oral Food Challenges for Determining Tolerance Development
DC Field | Value | Language |
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dc.contributor.author | 김경원 | - |
dc.contributor.author | 김민정 | - |
dc.contributor.author | 김수연 | - |
dc.contributor.author | 김윤희 | - |
dc.contributor.author | 김종덕 | - |
dc.contributor.author | 손명현 | - |
dc.contributor.author | 정재화 | - |
dc.contributor.author | 김하민 | - |
dc.contributor.author | 박미르 | - |
dc.contributor.author | 노윤영 | - |
dc.date.accessioned | 2024-06-14T02:42:39Z | - |
dc.date.available | 2024-06-14T02:42:39Z | - |
dc.date.issued | 2024-03 | - |
dc.identifier.issn | 2092-7355 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/199709 | - |
dc.description.abstract | Purpose: Despite the risk of anaphylaxis, oral food challenges (OFCs) are performed clinically for various indications, particularly to confirm tolerance development. This study aimed to assess OFCs by relevant indications and build an outcome prediction model to help determine when to perform OFCs in children who are likely to have developed immune tolerance. Methods: In total, 432 pediatric OFCs were retrospectively analyzed according to indications. Clinical characteristics, serum total immunoglobulin (Ig) E, blood eosinophils, and specific IgE and IgG4 levels for food allergens were noted and compared. Machine learning was utilized to select the most important variables in determining the passage of the OFCs, and prediction models were constructed using the selected variables. Results: OFCs were most commonly performed to confirm tolerance development (number, %; 267, 61.8%). The most common food allergens tested were egg (191, 44.2%) and milk (135, 31.3%). Children who passed the egg challenges for confirming tolerance acquisition had significantly lower egg white-specific IgE level (P = 0.008). Similarly, those who passed milk challenges had significantly lower cow’s milk-specific IgE (P = 0.002) and casein-specific IgE levels (P = 0.005). We developed a nomogram to predict the outcome of OFCs to determine the tolerance acquisition with the selected variables; lower food-specific IgE, higher total IgE, and younger age indicated a higher probability of passage. The area under the curve (95% confidence interval) was 0.623 (0.503–0.743) for egg and 0.734 (0.628–0.840) for milk. Conclusions: Serum total IgE and food-specific IgE combined with age showed trends toward passing OFCs for confirming tolerance development. The constructed model may be used by clinicians as a practical guide for minimizing the risks of OFCs and a timely reintroduction for children with food allergies. | - |
dc.description.statementOfResponsibility | open | - |
dc.format | application/pdf | - |
dc.publisher | Korean Academy of Pediatric Allergy and Respiratory Disease | - |
dc.relation.isPartOf | ALLERGY ASTHMA & IMMUNOLOGY RESEARCH | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Predicting the Outcome of Pediatric Oral Food Challenges for Determining Tolerance Development | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Pediatrics (소아과학교실) | - |
dc.contributor.googleauthor | Hamin Kim | - |
dc.contributor.googleauthor | Kyunguk Jeong | - |
dc.contributor.googleauthor | Mireu Park | - |
dc.contributor.googleauthor | Yun Young Roh | - |
dc.contributor.googleauthor | Jae Hwa Jung | - |
dc.contributor.googleauthor | Soo Yeon Kim | - |
dc.contributor.googleauthor | Jong Deok Kim | - |
dc.contributor.googleauthor | Min Jung Kim | - |
dc.contributor.googleauthor | Yoon Hee Kim | - |
dc.contributor.googleauthor | Myung Hyun Sohn | - |
dc.contributor.googleauthor | Sooyoung Lee | - |
dc.contributor.googleauthor | Kyung Won Kim | - |
dc.identifier.doi | 10.4168/aair.2024.16.2.179 | - |
dc.contributor.localId | A00303 | - |
dc.contributor.localId | A00472 | - |
dc.contributor.localId | A04724 | - |
dc.contributor.localId | A00799 | - |
dc.contributor.localId | A05318 | - |
dc.contributor.localId | A01967 | - |
dc.contributor.localId | A06083 | - |
dc.relation.journalcode | J00064 | - |
dc.identifier.eissn | 2092-7363 | - |
dc.identifier.pmid | 38528385 | - |
dc.subject.keyword | Food hypersensitivity | - |
dc.subject.keyword | egg hypersensitivity | - |
dc.subject.keyword | machine learning | - |
dc.subject.keyword | milk hypersensitivity | - |
dc.contributor.alternativeName | Kim, Kyung Won | - |
dc.contributor.affiliatedAuthor | 김경원 | - |
dc.contributor.affiliatedAuthor | 김민정 | - |
dc.contributor.affiliatedAuthor | 김수연 | - |
dc.contributor.affiliatedAuthor | 김윤희 | - |
dc.contributor.affiliatedAuthor | 김종덕 | - |
dc.contributor.affiliatedAuthor | 손명현 | - |
dc.contributor.affiliatedAuthor | 정재화 | - |
dc.citation.volume | 16 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 179 | - |
dc.citation.endPage | 190 | - |
dc.identifier.bibliographicCitation | ALLERGY ASTHMA & IMMUNOLOGY RESEARCH, Vol.16(2) : 179-190, 2024-03 | - |
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