Diagnostic validity of specific immunoglobulin E levels to alpha-gal in alpha-gal syndrome: a cross-sectional analysis.

Alpha-gal syndrome Diagnostic validity Food allergy Specific immunoglobulin E

Journal

Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology
ISSN: 1710-1484
Titre abrégé: Allergy Asthma Clin Immunol
Pays: England
ID NLM: 101244313

Informations de publication

Date de publication:
30 Nov 2023
Historique:
received: 11 06 2023
accepted: 06 11 2023
medline: 1 12 2023
pubmed: 1 12 2023
entrez: 1 12 2023
Statut: epublish

Résumé

The diagnosis of Alpha-gal Syndrome (AGS) is based on the presence of symptoms after being exposed to potential sources of alpha-gal together with values ​​of specific IgE (sIgE) to alpha-gal ≥ 0.1 kUA/L or ≥ 0.35 kUA/L. The aim of this study was to evaluate the diagnostic validity of sIgE levels to alpha-gal ≥ 0.1 kUA/L for identifying AGS. This was a cross-sectional analysis of adult patients with available data on sIgE levels to alpha-gal, classified into two groups according to the presence (Group 1) or absence (Group 2) of symptoms after being exposed to potential sources of alpha-gal. Values of sIgE to alpha-gal ≥ 0.1 kUA/l were considered a positive result. A descriptive analysis of internal and external validity parameters was performed in the entire population and adjusted by sex. The study included 33 individuals in Group 1 and 65 in Group 2, with a mean age of around 47 years. The analysis of internal validity parameters revealed a high sensitivity, specificity, and positive probability ratio, with higher sensitivity in men and higher specificity in women. The analysis of external validity parameters showed a high negative predictive value and global value in all populations and both sexes. However, the positive predictive value was relatively high in men, but low in women. Our results suggest that sIgE levels ≥ 0.1 kUA/L may be a useful tool for the diagnosis of AGS, although other factors and diagnostic techniques should also be considered.

Sections du résumé

BACKGROUND BACKGROUND
The diagnosis of Alpha-gal Syndrome (AGS) is based on the presence of symptoms after being exposed to potential sources of alpha-gal together with values ​​of specific IgE (sIgE) to alpha-gal ≥ 0.1 kUA/L or ≥ 0.35 kUA/L. The aim of this study was to evaluate the diagnostic validity of sIgE levels to alpha-gal ≥ 0.1 kUA/L for identifying AGS.
METHODS METHODS
This was a cross-sectional analysis of adult patients with available data on sIgE levels to alpha-gal, classified into two groups according to the presence (Group 1) or absence (Group 2) of symptoms after being exposed to potential sources of alpha-gal. Values of sIgE to alpha-gal ≥ 0.1 kUA/l were considered a positive result. A descriptive analysis of internal and external validity parameters was performed in the entire population and adjusted by sex.
RESULTS RESULTS
The study included 33 individuals in Group 1 and 65 in Group 2, with a mean age of around 47 years. The analysis of internal validity parameters revealed a high sensitivity, specificity, and positive probability ratio, with higher sensitivity in men and higher specificity in women. The analysis of external validity parameters showed a high negative predictive value and global value in all populations and both sexes. However, the positive predictive value was relatively high in men, but low in women.
CONCLUSIONS CONCLUSIONS
Our results suggest that sIgE levels ≥ 0.1 kUA/L may be a useful tool for the diagnosis of AGS, although other factors and diagnostic techniques should also be considered.

Identifiants

pubmed: 38037176
doi: 10.1186/s13223-023-00856-6
pii: 10.1186/s13223-023-00856-6
pmc: PMC10691071
doi:

Types de publication

Journal Article

Langues

eng

Pagination

102

Informations de copyright

© 2023. The Author(s).

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Auteurs

Adrián Germán-Sánchez (A)

Allergy Department, Basurto University Hospital, Bilbao, Spain. adrian.ger.san@gmail.com.
Allergy Department, Castellon University General Hospital, Avda/ Benicassim, 128, Castelló de la Plana 12004 (Castelló, Castellon, Spain. adrian.ger.san@gmail.com.

Ana Alonso-Llamazares (A)

Allergy Department, Basurto University Hospital, Bilbao, Spain.

Fernando García-González (F)

Allergy Department, Basurto University Hospital, Bilbao, Spain.

Bakai Matala-Ahmed (B)

Allergy Department, Basurto University Hospital, Bilbao, Spain.

Ceny Solani Melgar-Reyes (CS)

Allergy Department, Basurto University Hospital, Bilbao, Spain.

Ignacio Antepara-Ercoreca (I)

Allergy Department, Basurto University Hospital, Bilbao, Spain.

Classifications MeSH