Objective:To analyze the clinical and epidemiological characteristics of acute intussusception in children in Xiamen,and to provide evidence for clinical diagnosis and treatment.Methods:A retrospective analysis was conducted of the clinical data of 586 children with acute intussusception who were admitted to the Xiamen Children's Hospital from January 2019 to December 2022.The data included the gender,age,season of onset,clinical symptoms,signs,and treatment outcomes of the children.Results:The male to female ratio was 2.17∶ 1,and the average age of male children was higher than that of female children(Z =-2.356,P =0.018).The incidence rate was the highest in May to July(217 cases,37.0%).There was no statistically significant difference in the incidence of abdominal pain across all ages(χ2 =7.412,P =0.06),and the incidence of vomiting showed a decreasing trend with age,with a statistically significant difference across all age groups(χ2 =56.98,P<0.001).Bloody stool was most common in children<1 year old and the difference was statistically significant compared to all age groups(χ2 = 13.060,P<0.001).The success rate of the first enema was the highest in children aged 1-2 years and gradually decreased with age,with a statistically significant difference between age groups(χ2 =6.583,P =0.01).The recurrence rate increased gradually with age(χ2 =20.563,P<0.001).The incidence of abdominal pain and bloody stool in children with successful enema reduction was lower than that in children with surgical treatment for enema failure,and the difference was statistically significant(χ2 = 24.479,22.484,all P<0.001).Conclusion:The incidence of acute intussusception in children is related to gender,age,and season.With increasing age,the incidence of vomiting and bloody stool in children decreases,and the recurrence rate increases.The gender of the children was not significantly related to the clinical symptoms and enema results.Children with abdominal pain and blood in the stool have a higher chance of eventually undergoing surgery.
NETL
NSTL
维普
万方数据
