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)
Eye 2020-Jun

The BElfast Retinal Tear and detachment Score (BERT Score)

Solo los usuarios registrados pueden traducir artículos
Iniciar sesión Registrarse
El enlace se guarda en el portapapeles.
Donal McCullagh
Aisling Higham
Richard Best

Palabras clave

Abstracto

Purpose: To establish a scoring system to triage patients presenting with symptoms of flashes and floaters to allow safe differentiation between those with retinal tears and detachments, versus uncomplicated posterior vitreous detachments (PVDs).

Methods: Prospective and retrospective audits of 153 patients presenting to eye casualty and vitreoretinal clinics to ascertain the clinical features most likely to be associated with retinal pathology, rather than simple PVD. We then developed a scoring system, which was applied to 160 patients in a further prospective audit.

Results: The significant risk factors, symptoms and signs were identified then given a number related to their importance: male sex 1, myopia 1, blurred vision 2, shadow 2, vitreous haemorrhage 3, tobacco dust 4. The scores were summed and a total score > 3 was more likely to be a complicated PVD. Sensitivity of the scoring system was 90% (confidence interval (CI) 68.3-98.8%), specificity 80% (CI 73.2-86.9%), positive predictive value 40% (CI 25.7-55.7%), and negative predictive value 98.26% (CI 93.9-99.8%).

Conclusions: The BElfast Retinal Tear and detachment Score is an easy to apply scoring system, which has a high sensitivity and negative predictive value i.e. nearly all retinal tears or detachments are detected by the scoring system.

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