PE probability in children hospitalized with RMPP and suspected PE - Evidencio
PE probability in children hospitalized with RMPP and suspected PE

The PE risk score should be used for patients aged 1-14 years old hospitalized with refractory mycoplasma pneumoniae pneumonia (RMPP) and suspected PE (D-dimer ≥ 500 μg/L with symptoms suggestive of PE (tachycardia, shortness of breath, chest pain, dyspnea, hypoxemia, and hemoptysis) or D-dimer levels ≥ 1000 μg/L.)

Autores de la investigación: Yong Feng, Luanjie Yao, Zhaorui Yang, Geng Wang, Li Chen, Si Liu, Bing Dai, Yunxiao Shang, Bao Tie, Jichun Wang, Ning Chen
Versión: 1.1
  • Público
  • Neumología
  • {{ modelType }}
  • Detalles
  • Validar algoritme
  • Guardar entrada
  • Entrada de carga
Mostrar
Unidades

{{ section.title }}

{{ section.description }}

Calcular el resultado

Establezca más parámetros para realizar el cálculo

The estimated PE probability is:

{{ resultSubheader }}
{{ $t('download_result_availability') }}
{{ chart.title }}
Intervalo de resultados {{ additionalResult.min }} a {{ additionalResult.max }}

Información condicional

Model performance: The model showed 67.3% sensitivity and 85.0% specificity. The discriminative power of the model was considered adquate with an area under the curve (c-index) of 0.85. The Hosmer–Lemeshow test yielded a P-value of 0.268. The decision curve analysis showed that the nomogram for predicting the probability of PE would gain more net benefit if the threshold probability was between 9% and 83%.

It is important to note that the model is not recommended for basing clinical treatment decisions.

{{ file.classification }}
PRO
Nota
Las notas sólo son visibles en la descarga de resultados y no serán guardadas por Evidencio

Este algoritme se proporciona con fines educativos, formativos e informativos. No debe utilizarse para apoyar la toma de decisiones médicas ni para prestar servicios médicos o de diagnóstico. Lea nuestro disclaimer.

Algoritmer subyacentes Parte de
Comentarios
Comentario
Escriba un comentario
Los comentarios son visibles para cualquiera

Comentarios sobre el algoritme

Aún no hay comentarios 1 comentario {{ model.comments.length }} Comentarios
En {{ comment.created_at }} {{ comment.user.username }} un autor ya no registrado escribió:
{{ comment.content }}
logo

Inicia sesión para activar las funciones de impresión de Evidencio

Para poder utilizar las funciones de impresión de Evidencio, debe estar conectado.
Si no tiene una cuenta de la Comunidad Evidencio puede crear su cuenta personal gratuita en:

https://www.evidencio.com/registration

Resultados impresos - Ejemplos {{ new Date().toLocaleString() }}

Beneficios de la Cuenta Comunitaria Evidencio

With an Evidencio Community account you can:

  • Create and publish your own prediction algorithms.
  • Share your prediction algorithms with your colleagues, research group, organization or the world.
  • Review and provide feedback on algorithms that have been shared with you.
  • Validate your algorithms and validate algorithms from other users.
  • Find algorithms based on Title, Keyword, Author, Institute, or MeSH classification.
  • Use and save prediction algorithms and their data.
  • Use patient specific protocols and guidelines based on sequential algorithms and decision trees.
  • Stay up-to-date with new algorithms in your field as they are published.
  • Create your own lists of favorite algorithms and topics.

A personal Evidencio account is free, with no strings attached!
Join us and help create clarity, transparency, and efficiency in the creation, validation, and use of medical prediction algorithms.

Descargo de responsabilidad: Los cálculos por sí solos nunca deben dictar la atención al paciente, y no sustituyen al juicio profesional.
Términos y Condiciones | Política de privacidad | Descargo de responsabilidad | Contacto | Rechazar cookies |
Evidencio v3.38 © 2015 - 2025 Evidencio. Todos los derechos reservados