2122 The Positive Distribution Characteristics of 90 Food Specific IgG in Patients with Allergic Diseases

Thursday, 15 October 2015
Hall D1 Foyer (Floor 3) (Coex Convention Center)

Huimin Huang, MD , The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China

Baoqing Sun, MD , State Key Laboratory of Respiratory Disease, First Affiliated Hospital Guangzhou Medical University, Guangzhou, China

Mingyu BAI , The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China

Yiting Huo , The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China

Peiyan Zheng, MD , First Affiliated Hospital Guangzhou Medical University, Guangzhou, China

Nili Wei , The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China

Wenting Luo, MD , Allergy Department, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Diseases, Guangzhou, China

Objective

To explore the levels and correlation of 90 food sIgG antibodies in serum in patients with allergic diseases.

Methods

Using ELISA to detect 90 kinds of sIgG antibody of 291 patients with allergic diseases in the first affiliated hospital of Guangzhou Medical University for diagnosis and differential diagnosis, Data were analyzed by SPSS19.0 statistical software.  

Results

The positive rates of ten kinds of food sIgG antibody from high to low are milks and dairy products(33.03%),crustaceans (27.89%),meats and egg (19.31%), legumes(16.3%), fishes(15.56%),others(8.18%), vegetables(7.63%),nuts and oilseeds(6.70%), cereals(5.31%), the lowest is fruits (4.34%); the highest positive rate of food is egg(64.60%),followed by the white soft cheese (56.70%),cow’s milk (54.30%). In 0~3 years old group, the leading kind of positive rate of food is milks and dairy products71.02%,decreasing with the age,in ≥60 years old group,the positive rate is 6.25%,which is the biggest change in ten categories of food according to age.Except ≥60 years old group,the positive rate of cow’s milk sIgG is higher than the goat's milk sIgG, p<0.05.The positive tate of crustaceans is increasing with the age groups, scallop is the leading food in crustaceans in 7~16,17~44,45~59 and ≥60years old groups,the positive rates are 38.30%、78.72%、75.41% and 84.62%,respectively.The leading food of cereals is sesame in each group.In others food ,the leaing food is sugar,the positive rate is 30.30% in 0~3years old and 34.88% in 4~6years old, in 7~16years old group,the leading food is coffee 29.79%,in ≥60 years old group,the leading food is tobacco 38.46%. 

In 0~3 and 45~59 years old group,the positive rate of sIgG antibody of different categories of food were not statistically different in gender,in 4~6 years old group,the positive rate of cereals,fruits,vegetables of male are higher than female(x2=7.068,p=.003; x2=4.850, p=.031;x2=4.135, p=.042), in 7~16 years old group, the positive rates of vegetables and crustaceans of male are higher than female(x2=5.011, p=.026; x2=5.491, p=.019), in 17~44 years old group, the positive rates of vegetables of female are higher than male(x2=8.445, p=.004), in ≥60years old group, the positive rates of cereals , nuts and oilseeds,vegetables,milks and dairy products,fishes of male are higher than female(x2=3.902, p=.048; x2=6.836, p=.006; x2=16.228, p=.000;x2=6.163, p=.011 ;x2=8.123, p=.003).

A lot of food sIgG antibody levels are associated,there are 51 couples of food highly correlated(rs=0.8), including 34 couples of vegetables, 2 couples of fruit and vegetable.

Conclusion

There are certain distribution characteristics of 90 kinds of food sIgG antibody   in different age and gender,  clinical diagnosis should be combined with sex,dietary habits and other factors to make guidance more reasonable for the patient's diet adjustment.