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1.
Zhongguo Dang Dai Er Ke Za Zhi ; 24(6): 626-630, 2022 Jun 15.
Article in Chinese | MEDLINE | ID: mdl-35762427

ABSTRACT

OBJECTIVES: To evaluate the effectiveness of induction therapy with exclusive enteral nutrition (EEN) in pediatric Crohn's disease (CD). METHODS: A retrospective analysis was performed on the medical data of 62 children with CD who received EEN in Children's Hospital, Zhejiang University School of Medicine, from March 2013 to August 2021. The medical data included general information and height, weight, Pediatric Crohn's Disease Activity Index (PCDAI), Crohn's Disease Endoscopic Index of Severity, C-reactive protein, erythrocyte sedimentation rate, and serum albumin level before treatment and after 8 weeks of treatment. The changes in the above indicators were compared before and after treatment. RESULTS: Among the 62 children with CD, there were 39 boys (63%) and 23 girls (37%), with a mean age of (11.9±3.0) years at diagnosis. Among the 55 children who completed EEN treatment for at least 8 weeks, 48 (87%) achieved clinical remission at week 8. PCDAI at week 8 was significantly lower than that before treatment (P<0.001). Except for 17 children with involvement of the small intestine alone and 3 children with involvement of the colon who did not receive colonoscopy reexamination, the remaining 35 children with involvement of the colon received colonoscopy reexamination after the 8-week EEN treatment. Of the 35 children, 29 (83%) achieved mucosal healing. As for the 48 children who achieved clinical remission at week 8, there were significant improvements in height-for-age Z-score and body mass index-for-age Z-score at week 8 (P<0.01). As for the 7 children who did not achieve clinical remission at week 8, there were no significant changes in height-for-age Z-score and body mass index-for-age Z-score at week 8 (P>0.05). CONCLUSIONS: The 8-week EEN treatment has a good effect on clinical remission and mucosal healing in children with CD. For the children with CD achieving clinical remission, EEN can improve their height and body mass index.


Subject(s)
Crohn Disease , Enteral Nutrition , Adolescent , Child , Crohn Disease/therapy , Female , Humans , Induction Chemotherapy , Male , Retrospective Studies
2.
Zhongguo Dang Dai Er Ke Za Zhi ; 18(7): 666-70, 2016 Jul.
Article in Chinese | MEDLINE | ID: mdl-27412554

ABSTRACT

Gastroesophageal reflux (GER) and cow's milk allergy (CMA) are common disorders in infants. In recent years, more and more research has investigated the relationship between these two diseases. Some studies reported that about half of the cases of GER in infants younger than 1 year may be an association with CMA. Therefore, overall understanding the role of CMA on the pathogenesis of GER has a great importance on improving clinical level of diagnosis and therapy. This review article tried to elaborate advances in research on the relationship between CMA and GER in infants, including epidemiology, pathogenesis, clinical manifestations, diagnosis and treatment.


Subject(s)
Gastroesophageal Reflux/etiology , Milk Hypersensitivity/complications , Gastroesophageal Reflux/diagnosis , Humans , Infant
3.
IEEE Trans Neural Netw Learn Syst ; 23(6): 876-88, 2012 Jun.
Article in English | MEDLINE | ID: mdl-24806760

ABSTRACT

As one of the fundamental features, color provides useful information and plays an important role for face recognition. Generally, the choice of a color space is different for different visual tasks. How can a color space be sought for the specific face recognition problem? To address this problem, we propose a sparse tensor discriminant color space (STDCS) model that represents a color image as a third-order tensor in this paper. The model cannot only keep the underlying spatial structure of color images but also enhance robustness and give intuitionistic or semantic interpretation. STDCS transforms the eigenvalue problem to a series of regression problems. Then one spare color space transformation matrix and two sparse discriminant projection matrices are obtained by applying lasso or elastic net on the regression problems. The experiments on three color face databases, AR, Georgia Tech, and Labeled Faces in the Wild face databases, show that both the performance and the robustness of the proposed method outperform those of the state-of-the-art TDCS model.


Subject(s)
Biometry/methods , Colorimetry/methods , Face/anatomy & histology , Image Interpretation, Computer-Assisted/methods , Pattern Recognition, Automated/methods , Artificial Intelligence , Color , Humans , Reproducibility of Results , Sensitivity and Specificity
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