Nephrology visits and health care resource use before and after reporting estimated glomerular filtration rate.

CONTEXT Laboratory reporting of estimated glomerular filtration rate (GFR) has been widely implemented, with limited evaluation. OBJECTIVE To examine trends in nephrologist visits and health care resource use before and after estimated GFR reporting. DESIGN, SETTING, AND PATIENTS Community-based cohort study (N = 1,135,968) with time-series analysis. Participants were identified from a laboratory registry in Alberta, Canada, and followed up from May 15, 2003, to March 14, 2007 (with estimated GFR reporting implemented October 15, 2004). MAIN OUTCOME MEASURE Nephrologist visits and patient management. RESULTS Following estimated GFR reporting, the rate of first outpatient visits to a nephrologist for patients with chronic kidney disease (CKD; estimated GFR <60 mL/min/1.73 m(2)) increased by 17.5 (95% confidence interval [CI], 16.5-18.6) visits per 10,000 CKD patients per month, corresponding to a relative increase from baseline of 68.4% (95% CI, 65.7%-71.2%). There was no association between estimated GFR reporting and rate of first nephrologist visit among patients without CKD. Among patients with an estimated GFR of less than 30 mL/min/1.73 m(2), the rate of first nephrologist visits increased by 134.4 (95% CI, 60.0-208.7) visits per 10,000 patients per month. This increase was predominantly seen in women, patients aged 46 to 65 years as well as those aged 86 years or older, and those with hypertension, diabetes, and comorbidity. Reporting of estimated GFR was not associated with increased rates of internal medicine or general practitioner visits or increased use of angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers among patients with CKD and proteinuria or the subgroup limited to patients with diabetes. CONCLUSIONS Reporting of estimated GFR was associated with an increase in first nephrologist visits, particularly among patients with more severe kidney dysfunction, women, middle-aged and very elderly patients, and those with comorbidities. Any effect on outcomes remains to be shown.

[1]  F. McAlister,et al.  Validation of a Case Definition to Define Hypertension Using Administrative Data , 2009, Hypertension.

[2]  Jennifer MacRae,et al.  Overview of the Alberta Kidney Disease Network , 2009, BMC nephrology.

[3]  Cindy Y. Huo,et al.  When laboratories report estimated glomerular filtration rates in addition to serum creatinines, nephrology consults increase. , 2009, Kidney international.

[4]  E. Larson,et al.  Current Guidelines for Using Angiotensin-Converting Enzyme Inhibitors and Angiotensin IIReceptor Antagonists in Chronic Kidney Disease: Is the Evidence Base Relevant to Older Adults? , 2009, Annals of Internal Medicine.

[5]  R. Glassock Estimated glomerular filtration rate: time for a performance review? , 2009, Kidney international.

[6]  Haiying Chen,et al.  Impact of a multifaceted intervention on cholesterol management in primary care practices: guideline adherence for heart health randomized trial. , 2009, Archives of internal medicine.

[7]  Dave Davis,et al.  Continuing medical education effect on practice performance: effectiveness of continuing medical education: American College of Chest Physicians Evidence-Based Educational Guidelines. , 2009, Chest.

[8]  Paul E Mazmanian,et al.  Continuing medical education effect on clinical outcomes: effectiveness of continuing medical education: American College of Chest Physicians Evidence-Based Educational Guidelines. , 2009, Chest.

[9]  H. Feldman,et al.  The costs and benefits of automatic estimated glomerular filtration rate reporting. , 2009, Clinical journal of the American Society of Nephrology : CJASN.

[10]  Tom Greene,et al.  Chronic Kidney Disease Epidemiology Collaboration. Using standardized serum creatinine values in the Modification of Diet in Renal Disease study equation for estimating glomerular filtration rate (Annals of Internal Medicine (2006) 145, (247-254)) , 2008 .

[11]  W. Miller Reporting estimated GFR: a laboratory perspective. , 2008, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[12]  C. Winearls,et al.  Screening for CKD with eGFR: doubts and dangers. , 2008, Clinical journal of the American Society of Nephrology : CJASN.

[13]  David W. Johnson,et al.  The impact of automated eGFR reporting and education on nephrology service referrals , 2008, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[14]  T. Hostetter,et al.  Staging of chronic kidney disease: time for a course correction. , 2008, Journal of the American Society of Nephrology : JASN.

[15]  Donald R. Miller,et al.  Survival benefit of nephrologic care in patients with diabetes mellitus and chronic kidney disease. , 2008, Archives of internal medicine.

[16]  C. Geddes,et al.  The Early Impact of the United Kingdom Chronic Kidney Disease (CKD) Guidelines on the Number of New Attendances at Renal Clinics , 2007, Scottish medical journal.

[17]  Raj Gaurav Rohatgi,et al.  Reporting of estimated GFR in the primary care clinic. , 2007, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[18]  Tom Greene,et al.  Expressing the Modification of Diet in Renal Disease Study equation for estimating glomerular filtration rate with standardized serum creatinine values. , 2007, Clinical chemistry.

[19]  M. Tonelli,et al.  Association between multidisciplinary care and survival for elderly patients with chronic kidney disease. , 2007, Journal of the American Society of Nephrology : JASN.

[20]  P. Rainey Automatic reporting of estimated glomerular filtration rate--jumping the gun? , 2006, Clinical chemistry.

[21]  H. Quan,et al.  Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data , 2005, Medical care.

[22]  T. Mathew Chronic kidney disease and automatic reporting of estimated glomerular filtration rate: a position statement , 2005, The Medical journal of Australia.

[23]  J. Beizer,et al.  Rates of hyperkalemia after publication of the Randomized Aldactone Evaluation Study. , 2005, The Consultant pharmacist : the journal of the American Society of Consultant Pharmacists.

[24]  A. Bello,et al.  Chronic kidney disease: the global challenge , 2005, The Lancet.

[25]  Amit X Garg,et al.  Classifying kidney problems: can we avoid framing risks as diseases? , 2004, BMJ : British Medical Journal.

[26]  Sarah Corley,et al.  A Multimethod Quality Improvement Intervention To Improve Preventive Cardiovascular Care , 2004, Annals of Internal Medicine.

[27]  Charles E McCulloch,et al.  Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. , 2004, The New England journal of medicine.

[28]  H. Clark,et al.  Detection of chronic kidney disease with laboratory reporting of estimated glomerular filtration rate and an educational program. , 2004, Archives of internal medicine.

[29]  R. Huisman The deadly risk of late referral. , 2004, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[30]  Deeb N Salem,et al.  Chronic kidney disease as a risk factor for cardiovascular disease and all-cause mortality: a pooled analysis of community-based studies. , 2004, Journal of the American Society of Nephrology : JASN.

[31]  P. Roderick,et al.  A population-based study of the incidence and outcomes of diagnosed chronic kidney disease. , 2003, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[32]  G. Eknoyan,et al.  National Kidney Foundation Practice Guidelines for Chronic Kidney Disease: Evaluation, Classification, and Stratification , 2003, Annals of Internal Medicine.

[33]  H. Clark,et al.  Serum creatinine is an inadequate screening test for renal failure in elderly patients. , 2003, Archives of internal medicine.

[34]  Tom Greene,et al.  Effect of blood pressure lowering and antihypertensive drug class on progression of hypertensive kidney disease: results from the AASK trial. , 2002, JAMA.

[35]  Ethan M Balk,et al.  K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. , 2002, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[36]  A K Wagner,et al.  Segmented regression analysis of interrupted time series studies in medication use research , 2002, Journal of clinical pharmacy and therapeutics.

[37]  Janet E Hux,et al.  Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. , 2002, Diabetes care.

[38]  B. Brenner,et al.  Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy. , 2001, The New England journal of medicine.

[39]  E. Lewis,et al.  Renoprotective effect of the angiotensin-receptor antagonist irbesartan in patients with nephropathy due to type 2 diabetes. , 2001, The New England journal of medicine.

[40]  B. Manns,et al.  The Southern Alberta Renal Program database: a prototype for patient management and research initiatives. , 2001, Clinical and investigative medicine. Medecine clinique et experimentale.

[41]  C. Schmid,et al.  Angiotensin-Converting Enzyme Inhibitors and Progression of Nondiabetic Renal Disease , 2001, Annals of Internal Medicine.

[42]  O. Djurdjev,et al.  Screening for renal disease using serum creatinine: who are we missing? , 2001, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[43]  S. Yusuf,et al.  Renal Insufficiency as a Predictor of Cardiovascular Outcomes and the Impact of Ramipril: The HOPE Randomized Trial , 2001, Annals of Internal Medicine.

[44]  A. Levey,et al.  A More Accurate Method To Estimate Glomerular Filtration Rate from Serum Creatinine: A New Prediction Equation , 1999, Annals of Internal Medicine.

[45]  K Doqi,et al.  clinical practice guidelines for chronic kidney disease : evaluation, classification, and stratification , 2002 .

[46]  C. Schmid,et al.  Angiotensin-converting enzyme inhibitors and progression of nondiabetic renal disease. A meta-analysis of patient-level data. , 2001, Annals of internal medicine.

[47]  G. Striker Modification of diet in renal disease. , 1992, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[48]  P. Shrout Quasi-experimentation: Design and analysis issues for field settings: by Thomas D. Cook and Donald T. Campbell. Chicago: Rand McNally, 1979 , 1980 .

[49]  T. Cook,et al.  Quasi-experimentation: Design & analysis issues for field settings , 1979 .