A nomogram for predicting food allergy in infants with feeding problems and malnutrition
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Le résumé fourni par la source
BACKGROUND AND OBJECTIVE: As oral food challenge (OFC) cannot be performed routinely in the general outpatient, this study aimed to construct a nomogram to predict the odds of food allergy in infants with idiopathic feeding problems and malnutrition. METHODS: From August 2018 to December 2021, 289 infants (median age, 6 months; P25-P75, 4-8) with idiopathic feeding problems and malnutrition were enrolled from seven hospitals in Shanghai, China. Food allergy was defined as a positive response to a skin prick test or OFC, with gastrointestinal, dermatologic, or respiratory symptom improvement after 4 weeks of avoidance of the suspected food. Demographic characteristics, Cow's Milk-related Symptom Scores (CoMiSS), and blood eosinophil amounts were evaluated for their associations with food allergy. Multivariable logistic regression analysis was used to identify variables to develop a nomogram model with the bootstrapped-concordance index as an assessment metric. RESULTS: Totally 249 of 289 infants had food allergy (86.2%). After logistic regression analysis, the feeding pattern (odds ratio [OR] = 5.28, 95% confidence interval [CI]: 2.13-13.09), a family history of allergy (OR = 1.79, 95% CI: 0.71-4.51), CoMiSS (OR = 1.45, 95% CI: 1.19-1.77), and eosinophil percentage (OR = 1.33, 95% CI: 1.11-1.60) were used to develop the model, which had a good performance with an area under the curve of 0.868 (95% CI: 0.792-0.944) and a bootstrapped-concordance index of 0.868. CONCLUSION: Food allergy is common in infants with idiopathic feeding problems and malnutrition. The developed nomogram may help identify infants with food allergy for further diagnosis.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- A nomogram for predicting food allergy in infants with feeding problems and malnutrition
- Date Crossref
- 20/02/2024
- Éditeur
- Wiley
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Shanghai Jiao Tong University Department of Clinical Epidemiology and Biostatistics pays non établi dans la noticeUniversité ou école supérieure
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Shanghai Children's Medical Center pays non établi dans la noticeÉtablissement de santé
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Shanghai Ninth People's Hospital pays non établi dans la noticeÉtablissement de santé
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School of Medicine Department of Developmental and Behavioral Pediatrics Shanghai Children's Medical Center pays non établi dans la noticeUniversité ou école supérieure
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State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants School of Environmental Science and Engineering pays non établi dans la noticeUniversité ou école supérieure
Department of Clinical Epidemiology and Biostatistics — Shanghai Jiao Tong University, Shanghai Children's Medical Center et Shanghai Ninth People's Hospital, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.