Spanish
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)
Allergy, Asthma and Immunology Research 2010-Apr

Comparison of the causes and clinical features of drug rash with eosinophilia and systemic symptoms and stevens-johnson syndrome.

Solo los usuarios registrados pueden traducir artículos
Iniciar sesión Registrarse
El enlace se guarda en el portapapeles.
Yun-Jin Jeung
Jin-Young Lee
Mi-Jung Oh
Dong-Chull Choi
Byung-Jae Lee

Palabras clave

Abstracto

OBJECTIVE

Drug rash with eosinophilia and systemic symptoms (DRESS) and the Stevens-Johnson syndrome (SJS) are both severe drug reactions. Their pathogenesis and clinical features differ. This study compared the causes and clinical features of SJS and DRESS.

METHODS

We enrolled 31 patients who were diagnosed with DRESS (number=11) and SJS (number=20). We retrospectively compared the clinical and laboratory data of patients with the two disorders.

RESULTS

In both syndromes, the most common prodromal symptoms were itching, fever, and malaise. The liver was commonly involved in DRESS. The mucosal membrane of the oral cavity and eyes was often affected in SJS. The most common causative agents in both diseases were antibiotics (DRESS 4/11 (37%), SJS 8/20 (40%)), followed by anticonvulsants (DRESS 3/11 (27%), SJS 7/20 (35%)). In addition, dapsone, allopurinol, clopidogrel, sulfasalazine and non-steroidal anti-inflammatory drugs (NSAIDs) were sporadic causes.

CONCLUSIONS

The most common causes of DRESS and SJS were antibiotics, followed by anticonvulsants, NSAIDs and sulfonamides. The increase in the use of antibiotics in Korea might explain this finding.

Únete a nuestra
página de facebook

La base de datos de hierbas medicinales más completa respaldada por la ciencia

  • Funciona en 55 idiomas
  • Curas a base de hierbas respaldadas por la ciencia
  • Reconocimiento de hierbas por imagen
  • Mapa GPS interactivo: etiquete hierbas en la ubicación (próximamente)
  • Leer publicaciones científicas relacionadas con su búsqueda
  • Buscar hierbas medicinales por sus efectos.
  • Organice sus intereses y manténgase al día con las noticias de investigación, ensayos clínicos y patentes.

Escriba un síntoma o una enfermedad y lea acerca de las hierbas que podrían ayudar, escriba una hierba y vea las enfermedades y los síntomas contra los que se usa.
* Toda la información se basa en investigaciones científicas publicadas.

Google Play badgeApp Store badge