Français
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Acta paediatrica Taiwanica = Taiwan er ke yi xue hui za zhi

Clinical features of type 1 diabetic children at initial diagnosis.

Seuls les utilisateurs enregistrés peuvent traduire des articles
Se connecter S'inscrire
Le lien est enregistré dans le presse-papiers
Fu-Sung Lo
Min-Hai Yang
Luan-Yin Chang
Yung-Chun Ou
Yang-Hau Van

Mots clés

Abstrait

Clinical and laboratory data of 165 newly diagnosed diabetic children at Chang Gung Children's Hospital in Taiwan from 1993 to 2003 were analyzed. The age distribution was categorized as 0-1 years: 19 (11.5%), 2-4 years: 39 (23.6%), 5-9 years: 61 (37%), and 10-16 years: 46 (27.9%); the incidence showed spring/winter peak and a mid-summer trough but not statistically significant (chi2= 1.86, p=0.61). The most common symptoms on presentation were polydipsia, weight loss, polyuria, and fatigue. Very young diabetic children had a higher incidence of having dyspnea at presentation (p=0.029) and had significantly lower levels of C-peptide (p=0.0086) and HbA1c (p=0.0025). The prevalences of GAD antibody and insulin autoantibodies were 67% and 49%, respectively. Children with severe diabetic ketoacidosis (DKA) were younger at diabetes onset (p=0.36, not to the statistical significance), had a higher incidence of preceding febrile illnesses (p=0.05), lower T4 and T3 levels (p=0.0008, 0.02), and higher white blood cell counts (p=0.03) than the mild group. In conclusion, diabetes in very young children is not rare and is more associated with more severe insulin deficiency. Young age at diabetes onset and preceding febrile illness may provoke severe DKA. High alertness is necessary for prompt diagnosis and management.

Rejoignez notre
page facebook

La base de données d'herbes médicinales la plus complète soutenue par la science

  • Fonctionne en 55 langues
  • Cures à base de plantes soutenues par la science
  • Reconnaissance des herbes par image
  • Carte GPS interactive - étiquetez les herbes sur place (à venir)
  • Lisez les publications scientifiques liées à votre recherche
  • Rechercher les herbes médicinales par leurs effets
  • Organisez vos intérêts et restez à jour avec les nouvelles recherches, essais cliniques et brevets

Tapez un symptôme ou une maladie et lisez des informations sur les herbes qui pourraient aider, tapez une herbe et voyez les maladies et symptômes contre lesquels elle est utilisée.
* Toutes les informations sont basées sur des recherches scientifiques publiées

Google Play badgeApp Store badge