NDT Advance Access originally published online on December 8, 2007
Nephrology Dialysis Transplantation 2008 23(2):556-561; doi:10.1093/ndt/gfm839
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The impact of population-based identification of chronic kidney disease using estimated glomerular filtration rate (eGFR) reporting
Fresenius Medical Care Renal Services, 46-50 Horsley Heath, Birmingham DY4 7AA, UK
Correspondence and offprint requests to: Nick Richards, Fresenius Medical Care Renal Services, 46-50 Horsley Heath, Birmingham DY4 7AA, UK. Tel.: +44-0121-532-1417; Fax: +44-0121-627-2939; E-mail: Nick.richards{at}fmc-ag.com
| Abstract |
|---|
Background. The object of this study was to determine the impact of estimated glomerular filtration rate (eGFR) reporting, as part of a disease management programme (DMP), and clarify the prevalence of chronic kidney disease (CKD) and the level of un-met need in a UK Primary Care Trust.
Methods. Our approach was to prospectively identify patients with an eGFR <60 ml/min/1.73 m2 using the four-variable MDRD equation in all patients from West Lincolnshire PCT (population 185 434 over the age of 15 years) having a routine estimation of serum creatinine.
Results. During the first 12 months of the programme 25.4% of the population had an eGFR reported. The likelihood of having an eGFR reported increased markedly with age. The prevalence of CKD stages 3–5 within primary care was 7.3%. Only 3.7% of patients with CKD stages 3–5 were under nephrology care compared to 13.7% in non-nephrology secondary care and 82.6% in primary care. There were marked differences in the male to female ratio between primary care and nephrology care, 1:1.9 versus 0.6:1, respectively (P < 0.001). The incidence of newly identified patients with CKD stages 4 and 5 was 0.16%. Initially there was a marked (up to 7-fold month on month) rise in nephrology referrals following institution of eGFR reporting which was reversed by the introduction of a referral management service as part of the DMP. Only 33% of patients with CKD stage 4 or 5, identified from within primary care, went on to have a nephrology referral in the subsequent 12 months compared with 44% and 78% respectively identified from non-nephrology secondary care (P < 0.001).
Conclusions. The reporting of the eGFR in association with this DMP effectively identified patients with CKD. A referral assessment programme can effectively ensure appropriate nephrology referral and avoids exceeding the capacity of nephrology services. The vast majority of patients with CKD stages 3–5 are cared for within primary care. There are marked gender differences in the prevalence of CKD stages 3–5 that are not reflected by referral patterns to nephrology services. There are significant differences in referral practices between primary and secondary care. In a steady state the burden of incident patients with CKD stages 4–5 should not exceed the capacity of the local nephrology service.
Keywords: CKD; disease management; eGFR; prevalence
Received for publication: 15. 7.07
Accepted in revised form: 26.10.07
![]()
CiteULike
Connotea
Del.icio.us What's this?
Related articles in NDT:
- Primary care-based disease management of chronic kidney disease (CKD), based on estimated glomerular filtration rate (eGFR) reporting, improves patient outcomes
- Nick Richards, Kevin Harris, Malcolm Whitfield, Donal ODonoghue, Robert Lewis, Martin Mansell, Stephen Thomas, John Townend, Mick Eames, and Daniele Marcelli
NDT 2008 23: 549-555.[Abstract] [FREE Full Text] - In this issue ...
NDT 2008 23: i.[Extract] [FREE Full Text]
This article has been cited by other articles:
![]() |
B. J Lee and K. Forbes The role of specialists in managing the health of populations with chronic illness: the example of chronic kidney disease BMJ, July 8, 2009; 339(jul08_3): b2395 - b2395. [Full Text] |
||||
![]() |
P. Ferrari, J. Xiao, A. Ukich, and A. Irish Estimation of glomerular filtration rate: does haemoglobin discriminate between ageing and true CKD? Nephrol. Dial. Transplant., June 1, 2009; 24(6): 1828 - 1833. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. K. Cheung and S. Bhandari Perspectives on eGFR reporting from the Interface between Primary and Secondary Care Clin. J. Am. Soc. Nephrol., February 1, 2009; 4(2): 258 - 260. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. Noble, D. W. Johnson, N. Gray, P. Hollett, C. M. Hawley, S. B. Campbell, D. W. Mudge, and N. M. Isbel The impact of automated eGFR reporting and education on nephrology service referrals Nephrol. Dial. Transplant., December 1, 2008; 23(12): 3845 - 3850. [Abstract] [Full Text] [PDF] |
||||
![]() |
J Feehally, K E Griffith, E J Lamb, D J O'Donoghue, and C R V Tomson Early detection of chronic kidney disease BMJ, October 1, 2008; 337(oct01_1): a1618 - a1618. [Full Text] |
||||


