Literature DB >> 18065790

The impact of population-based identification of chronic kidney disease using estimated glomerular filtration rate (eGFR) reporting.

Nick Richards1, Kevin Harris, Malcolm Whitfield, Donal O'Donoghue, Robert Lewis, Martin Mansell, Stephen Thomas, John Townend, Mick Eames, Daniele Marcelli.   

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 m(2) 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.

Entities:  

Mesh:

Year:  2007        PMID: 18065790     DOI: 10.1093/ndt/gfm839

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  22 in total

1.  The association of eGFR reporting with the timing of dialysis initiation.

Authors:  Manish M Sood; Paul Komenda; Claudio Rigatto; Brett Hiebert; Navdeep Tangri
Journal:  J Am Soc Nephrol       Date:  2014-03-20       Impact factor: 10.121

2.  Recognition of CKD after the introduction of automated reporting of estimated GFR in the Veterans Health Administration.

Authors:  Virginia Wang; Matthew L Maciejewski; Bradley G Hammill; Rasheeda K Hall; Lynn Van Scoyoc; Amit X Garg; Arsh K Jain; Uptal D Patel
Journal:  Clin J Am Soc Nephrol       Date:  2013-10-31       Impact factor: 8.237

3.  Automated clinical reminders for primary care providers in the care of CKD: a small cluster-randomized controlled trial.

Authors:  Khaled Abdel-Kader; Gary S Fischer; Jie Li; Charity G Moore; Rachel Hess; Mark L Unruh
Journal:  Am J Kidney Dis       Date:  2011-10-07       Impact factor: 8.860

4.  Provider Knowledge, Attitudes, and Practices Surrounding Conservative Management for Patients with Advanced CKD.

Authors:  Sanah Parvez; Khaled Abdel-Kader; V Shane Pankratz; Mi-Kyung Song; Mark Unruh
Journal:  Clin J Am Soc Nephrol       Date:  2016-04-15       Impact factor: 8.237

5.  Change in appropriate referrals to nephrologists after the introduction of automatic reporting of the estimated glomerular filtration rate.

Authors:  Ayub Akbari; Jeremy Grimshaw; Dawn Stacey; William Hogg; Tim Ramsay; Marcella Cheng-Fitzpatrick; Peter Magner; Robert Bell; Jolanta Karpinski
Journal:  CMAJ       Date:  2012-02-13       Impact factor: 8.262

6.  Chronic kidney disease in patients with diabetes mellitus type 2 or hypertension in general practice.

Authors:  Victor van der Meer; H Petra M Wielders; Diana C Grootendorst; Joost S de Kanter; Yvo Wj Sijpkens; Willem Jj Assendelft; Jacobijn Gussekloo; Friedo W Dekker; Ymte Groeneveld
Journal:  Br J Gen Pract       Date:  2010-12       Impact factor: 5.386

7.  Validation of The Health Improvement Network (THIN) database for epidemiologic studies of chronic kidney disease.

Authors:  Michelle R Denburg; Kevin Haynes; Justine Shults; James D Lewis; Mary B Leonard
Journal:  Pharmacoepidemiol Drug Saf       Date:  2011-08-24       Impact factor: 2.890

8.  Impact of automated reporting of estimated glomerular filtration rate in the veterans health administration.

Authors:  Virginia Wang; Bradley G Hammill; Matthew L Maciejewski; Rasheeda K Hall; Lynn Van Scoyoc; Amit X Garg; Arsh K Jain; Uptal D Patel
Journal:  Med Care       Date:  2015-02       Impact factor: 2.983

9.  [Occult renal disease and drug prescription in primary care].

Authors:  José María Peña Porta; Meliton Blasco Oliete; Carmen Vicente de Vera Floristan
Journal:  Aten Primaria       Date:  2009-05-20       Impact factor: 1.137

10.  Estimated GFR reporting is not sufficient to allow detection of chronic kidney disease in an Italian regional hospital.

Authors:  Giorgio Gentile; Maurizio Postorino; Raymond D Mooring; Luigi De Angelis; Valeria Maria Manfreda; Fabrizio Ruffini; Manuela Pioppo; Giuseppe Quintaliani
Journal:  BMC Nephrol       Date:  2009-09-01       Impact factor: 2.388

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