CKD-EPI creatinine equation (2009)
The CKD-EPI creatinine equation is based on the same four variables as the MDRD Study equation, but uses a 2-slope spline to model the relationship between estimated GFR and serum creatinine, and a different relationship for age, sex and race. The equation was reported to perform better and with less bias than the MDRD Study equation, especially in patients with higher GFR. This results in reduced misclassification of CKD.
Forskende forfattere: Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, and Coresh J.
Versjon: 1.16
  • Offentlig
  • Nefrologi
  • {{ modelType }}
  • Detaljer
  • Validere modellen
  • Lagre inndata
  • Lastinngang
  • lang lang

Beregne resultatet

Angi flere parametere for å utføre beregningen

Estimated GFR: ml/min/1.73m2

{{ resultSubheader }}
{{ chart.title }}
Resultatintervall {{ additionalResult.min }} til {{ additionalResult.max }}

Betinget informasjon

The CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) equation was developed in an effort to create a more precise formula to estimate glomerular filtrate rate (GFR) from serum creatinine and other readily available clinical parameters, especially at when actual GFR is >60 mL/min per 1.73m2.

Researchers pooled data from multiple studies to develop and validate this new equation. They randomly divided 10 studies which included 8254 participants, into separate data sets for development and internal validation. 16 additional studies, which included 3896 participants, were used for external validation.

The CKD-EPI equation performed better than the MDRD (Modification of Diet in Renal Disease Study) equation, especially at higher GFR, with less bias and greater accuracy. When looking at NHANES (National Health and Nutrition Examination Survey) data, the median estimated GFR was 94.5 mL/min per 1.73 m2 vs. 85.0 mL/min per 1.73 m2, and the prevalence of chronic kidney disease was 11.5% versus 13.1%.

{{ file.classification }}
PRO
Merknad
Notater er bare synlige i resultatnedlastingen og lagres ikke av Evidencio.

Denne modellen er laget for utdannings-, opplærings- og informasjonsformål. Den må ikke brukes til å støtte medisinske beslutninger eller til å tilby medisinske eller diagnostiske tjenester. Les hele vår disclaimer.

Underliggende modeller En del av
Kommentarer
Kommentar
Vennligst skriv inn en kommentar
Kommentarer er synlige for alle

Tilbakemelding på modellen

Ingen tilbakemeldinger ennå 1 kommentar {{ model.comments.length }} Kommentarer
På {{ comment.created_at }} {{ comment.user.username }} en forfatter som ikke lenger er registrert skrev:
{{ comment.content }}
logo

Logg inn for å aktivere Evidencios utskriftsfunksjoner.

For å kunne bruke Evidencios utskriftsfunksjoner må du være logget inn.
Hvis du ikke har en Evidencio Community-konto, kan du opprette en gratis personlig konto på:

https://www.evidencio.com/registration

Trykte resultater - Eksempler {{ new Date().toLocaleString() }}

Fordeler med Evidencio Community Account

With an Evidencio Community account you can:

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

Ansvarsfraskrivelse: Beregninger alene bør aldri være styrende for pasientbehandlingen, og kan ikke erstatte faglig skjønn.
Terms & Conditions | Privacy Policy | Disclaimer | Contact | Refuse cookies |
Evidencio v3.25 © 2015 - 2024 Evidencio. All Rights Reserved