SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:lup.lub.lu.se:e3d5bf81-9691-47c0-8d2f-aed23e5a603f"
 

Search: onr:"swepub:oai:lup.lub.lu.se:e3d5bf81-9691-47c0-8d2f-aed23e5a603f" > Development and val...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
  • Stevens, Lesley A. (author)

Development and validation of GFR-estimating equations using diabetes, transplant and weight

  • Article/chapterEnglish2010

Publisher, publication year, extent ...

  • 2009-09-30
  • Oxford University Press (OUP),2010

Numbers

  • LIBRIS-ID:oai:lup.lub.lu.se:e3d5bf81-9691-47c0-8d2f-aed23e5a603f
  • https://lup.lub.lu.se/record/1547207URI
  • https://doi.org/10.1093/ndt/gfp510DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • Methods. Linear regression was used to relate log-measured GFR (mGFR) to sex, race, diabetes, transplant, weight, various transformations of creatinine and age with and without interactions. Equations were developed in a pooled database of 10 studies [2/3 (N = 5504) for development and 1/3 (N = 2750) for internal validation], and final model selection occurred in 16 additional studies [external validation (N = 3896)]. Results. The mean mGFR was 68, 67 and 68 ml/min/ 1.73 m(2) in the development, internal validation and external validation datasets, respectively. In external validation, an equation that included a linear age term and spline terms in creatinine to account for a reduction in the magnitude of the slope at low serum creatinine values exhibited the best performance (bias = 2.5, RMSE = 0.250) among models using the four basic predictor variables. Addition of terms for diabetes and transplant did not improve performance. Equations with weight showed a small improvement in the subgroup with BMI < 20 kg/m(2). Conclusions. The CKD-EPI equation, based on creatinine, age, sex and race, has been validated and is more accurate than the MDRD study equation. The addition of weight, diabetes and transplant does not significantly improve equation performance.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Schmid, Christopher H. (author)
  • Zhang, Yaping L. (author)
  • Coresh, Josef (author)
  • Manzi, Jane (author)
  • Landis, Richard (author)
  • Bakoush, OmranLund University,Lunds universitet,Njurmedicin,Sektion II,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Nephrology,Section II,Department of Clinical Sciences, Lund,Faculty of Medicine(Swepub:lu)njur-oba (author)
  • Contreras, Gabriel (author)
  • Genuth, Saul (author)
  • Klintmalm, Goran B. (author)
  • Poggio, Emilio (author)
  • Rossing, Peter (author)
  • Rule, Andrew D. (author)
  • Weir, Matthew R. (author)
  • Kusek, John (author)
  • Greene, Tom (author)
  • Levey, Andrew S. (author)
  • NjurmedicinSektion II (creator_code:org_t)

Related titles

  • In:Nephrology Dialysis Transplantation: Oxford University Press (OUP)25:2, s. 449-4571460-23850931-0509

Internet link

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view