Skip to main content
Top
Published in: Journal of Bone and Mineral Metabolism 3/2009

01-05-2009 | Original Article

Hyperparathyroidism in chronic kidney disease: a retrospective cohort study of costs and outcomes

Authors: David H. Smith, Eric S. Johnson, Micah L. Thorp, Xiuhai Yang, Nancy Neil

Published in: Journal of Bone and Mineral Metabolism | Issue 3/2009

Login to get access

Abstract

Hyperparathyroidism may play a role in the excess morbidity and mortality in chronic kidney disease. This study examined utilization and outcomes of patients with hyperparathyroidism and chronic kidney disease. In a US health maintenance organization (HMO), patients with chronic kidney disease were identified from the electronic medical record. Patients included in the study had at least one intact parathyroid hormone (iPTH) measurement ordered by a nephrologist and were at least 20 years of age with no history of renal replacement therapy (RRT, n = 455). Cohorts were determined by index iPTH level and were followed for 1 year. Rates of health care utilization were compared between cohorts using Poisson regression; costs comparisons were made using linear regression; mortality and RRT were evaluated using Cox regression. Increasing levels of iPTH were associated with a significantly elevated risk of mortality and RRT, even after adjustment for potential confounders such as stage of chronic kidney disease. Compared to iPTH of <110 pg/ml, we found a 66% increase combined mortality-RRT risk (HR 1.66, 95% CI 1.41–1.97) for those with iPTH 110–199 pg/ml, and a HR of 4.57 (95% CI 3.86–5.43) for iPTH ≥300 pg/ml. We did not find a convincing association between iPTH level and utilization. While this study provides no evidence that treating patients with higher levels of iPTH will ameliorate poor outcomes, it suggests that iPTH levels beyond the targets suggested by clinical guidelines are associated with increased harm in patients with chronic kidney disease.
Literature
1.
go back to reference Coresh J, Byrd-Holt D, Astor BC, Briggs JP, Eggers PW, Lacher DA et al (2005) Chronic kidney disease awareness, prevalence, trends among U.S. adults, 1999 to 2000. J Am Soc Nephrol 16:180–188PubMedCrossRef Coresh J, Byrd-Holt D, Astor BC, Briggs JP, Eggers PW, Lacher DA et al (2005) Chronic kidney disease awareness, prevalence, trends among U.S. adults, 1999 to 2000. J Am Soc Nephrol 16:180–188PubMedCrossRef
2.
go back to reference Weiner DE, Tighiouart H, Amin MG, Stark PC, MacLeod B, Griffith JL et al (2004) Chronic kidney disease as a risk factor for cardiovascular disease and all-cause mortality: a pooled analysis of community-based studies. J Am Soc Nephrol 15:1307–1315PubMedCrossRef Weiner DE, Tighiouart H, Amin MG, Stark PC, MacLeod B, Griffith JL et al (2004) Chronic kidney disease as a risk factor for cardiovascular disease and all-cause mortality: a pooled analysis of community-based studies. J Am Soc Nephrol 15:1307–1315PubMedCrossRef
3.
go back to reference Keith DS, Nichols GA, Gullion CM, Brown JB, Smith DH (2004) Longitudinal follow-up and outcomes among a population with chronic kidney disease in a large managed care organization. Arch Intern Med 164:659–663PubMedCrossRef Keith DS, Nichols GA, Gullion CM, Brown JB, Smith DH (2004) Longitudinal follow-up and outcomes among a population with chronic kidney disease in a large managed care organization. Arch Intern Med 164:659–663PubMedCrossRef
4.
go back to reference Smith DH, Gullion CM, Nichols G, Keith DS, Brown JB (2004) Cost of medical care for chronic kidney disease and comorbidity among enrollees in a large HMO population. J Am Soc Nephrol 15:1300–1306PubMedCrossRef Smith DH, Gullion CM, Nichols G, Keith DS, Brown JB (2004) Cost of medical care for chronic kidney disease and comorbidity among enrollees in a large HMO population. J Am Soc Nephrol 15:1300–1306PubMedCrossRef
5.
go back to reference Hutchison AJ (1999) Predialysis management of divalent ion metabolism. Kidney Int Suppl 73:S82–S84PubMedCrossRef Hutchison AJ (1999) Predialysis management of divalent ion metabolism. Kidney Int Suppl 73:S82–S84PubMedCrossRef
6.
go back to reference K/DOQI (2003) K/DOQI clinical practice guidelines for bone metabolism and disease in chronic kidney disease. Am J Kidney Dis 42:S1–S201 K/DOQI (2003) K/DOQI clinical practice guidelines for bone metabolism and disease in chronic kidney disease. Am J Kidney Dis 42:S1–S201
7.
go back to reference Lenz O, Mekala DP, Patel DV, Fornoni A, Metz D, Roth D (2005) Barriers to successful care for chronic kidney disease. BMC Nephrol 6:11PubMedCrossRef Lenz O, Mekala DP, Patel DV, Fornoni A, Metz D, Roth D (2005) Barriers to successful care for chronic kidney disease. BMC Nephrol 6:11PubMedCrossRef
8.
go back to reference Winkelmayer WC, Levin R, Avorn J (2003) The nephrologist’s role in the management of calcium-phosphorus metabolism in patients with chronic kidney disease. Kidney Int 63:1836–1842PubMedCrossRef Winkelmayer WC, Levin R, Avorn J (2003) The nephrologist’s role in the management of calcium-phosphorus metabolism in patients with chronic kidney disease. Kidney Int 63:1836–1842PubMedCrossRef
9.
go back to reference Manjunath M, Sarnak M, Levey A (2001) Prediction equations to estimate glomerular filtration rate: an update. Curr Opin Nephrol Hypertens 10:785–792PubMedCrossRef Manjunath M, Sarnak M, Levey A (2001) Prediction equations to estimate glomerular filtration rate: an update. Curr Opin Nephrol Hypertens 10:785–792PubMedCrossRef
10.
go back to reference National Kidney Foundation (2002) K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 39:S1–S266 National Kidney Foundation (2002) K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 39:S1–S266
11.
go back to reference Hornbrook M, Goodman MJ (1991) Adjusting health benefit contributions to reflect risks. In: Hornbrook M (ed) Risk based contributions to private health insurance. JAI Press, Greenwich, pp 41–76 Hornbrook M, Goodman MJ (1991) Adjusting health benefit contributions to reflect risks. In: Hornbrook M (ed) Risk based contributions to private health insurance. JAI Press, Greenwich, pp 41–76
12.
go back to reference Altman DG (1991) Practical statistics for medical research, 1st edn. Chapman and Hall, London Altman DG (1991) Practical statistics for medical research, 1st edn. Chapman and Hall, London
13.
go back to reference Schneeweiss S, Seeger JD, Maclure M, Wang PS, Avorn J, Glynn RJ (2001) Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data. Am J Epidemiol 154:854–864PubMedCrossRef Schneeweiss S, Seeger JD, Maclure M, Wang PS, Avorn J, Glynn RJ (2001) Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data. Am J Epidemiol 154:854–864PubMedCrossRef
14.
go back to reference Rothman K, Greenland S (1998) Modern epidemiology, 2nd edn. Lippincott Williams & Wilkins, Boston Rothman K, Greenland S (1998) Modern epidemiology, 2nd edn. Lippincott Williams & Wilkins, Boston
15.
go back to reference Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY (2004) Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351:1296–1305PubMedCrossRef Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY (2004) Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351:1296–1305PubMedCrossRef
16.
go back to reference Tentori F, Blayney MJ, Albert JM, Gillespie BW, Kerr PG, Bommer J et al (2008) Mortality risk for dialysis patients with different levels of serum calcium, phosphorus, and PTH: the Dialysis Outcomes and Practice Patterns Study (DOPPS). Am J Kidney Dis 52:519–530PubMedCrossRef Tentori F, Blayney MJ, Albert JM, Gillespie BW, Kerr PG, Bommer J et al (2008) Mortality risk for dialysis patients with different levels of serum calcium, phosphorus, and PTH: the Dialysis Outcomes and Practice Patterns Study (DOPPS). Am J Kidney Dis 52:519–530PubMedCrossRef
17.
go back to reference Feldman HI, Appel LJ, Chertow GM, Cifelli D, Cizman B, Daugirdas J et al (2003) The Chronic Renal Insufficiency Cohort (CRIC) study: design and methods. J Am Soc Nephrol 14:S148–S153PubMedCrossRef Feldman HI, Appel LJ, Chertow GM, Cifelli D, Cizman B, Daugirdas J et al (2003) The Chronic Renal Insufficiency Cohort (CRIC) study: design and methods. J Am Soc Nephrol 14:S148–S153PubMedCrossRef
18.
go back to reference Rao M, Kausz AT, Mitchell D, Ratican SH, Lin F, Burrows-Hudson S et al (2002) The study of treatment for renal insufficiency: data and evaluation (STRIDE), a national registry of chronic kidney disease. Semin Dial 15:366–369PubMedCrossRef Rao M, Kausz AT, Mitchell D, Ratican SH, Lin F, Burrows-Hudson S et al (2002) The study of treatment for renal insufficiency: data and evaluation (STRIDE), a national registry of chronic kidney disease. Semin Dial 15:366–369PubMedCrossRef
Metadata
Title
Hyperparathyroidism in chronic kidney disease: a retrospective cohort study of costs and outcomes
Authors
David H. Smith
Eric S. Johnson
Micah L. Thorp
Xiuhai Yang
Nancy Neil
Publication date
01-05-2009
Publisher
Springer Japan
Published in
Journal of Bone and Mineral Metabolism / Issue 3/2009
Print ISSN: 0914-8779
Electronic ISSN: 1435-5604
DOI
https://doi.org/10.1007/s00774-009-0048-8

Other articles of this Issue 3/2009

Journal of Bone and Mineral Metabolism 3/2009 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine