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Validation of the Center for Medicare and Medicaid Services algorithm for eligibility for dialysis

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Abstract

The Center for Medicaid and Medicare Services (CMS) has recently revised their end-stage renal disease (ESRD) Medical Evidence Report, Medicare Entitlement, and Patient Registration CMS 2728 Form. The modified algorithm calls for the use of formulae to estimate glomerular filtration rate (GFR). The new criterion is defined as estimated GFR of less than 20 ml/min per 1.73 m2. GFR is either estimated by Schwartz formula (CSCH) in children or Modification of Diet in Renal Disease formula (CMDRD) in adults. The purpose of this communication is to test the validity of the new CMS GFR algorithm in detecting children who need renal replacement therapy. We evaluated two cohorts of children. Group I included single-center data from 626 125I-iothalamate clearance studies (CIO) that were compared with the simultaneous estimation of GFR by CSCH. Group II included data on 659 children from the patient incidence registry obtained from the ESRD Network of Texas between February 1996 and October 2003. In group I there were 76 children (76 CIO) with CSCH less than 20 ml/min per 1.73 m2 of whom 50 (67%) had CIO less than 15 ml/min per 1.73 m2. Of children with CIO less than 15 ml/min per 1.73 m2, 62% had a CSCH less than 20 ml/min per 1.73 m2. The ability of CSCH greater than 20 ml/min per 1.73m2 to predict CIO greater than 15 ml/min per 1.73 m2 (negative predictive value) is 0.95. The number of children who were started on dialysis in Texas within the study period was 659 (group II). The mean CSCH±SD was 10.8±7.7 ml/min per 1.73 m2. Of the patients who were initiated on dialysis, 94% had CSCH less than 20 ml/min per 1.73 m2. The results were sustained when race, gender, age range, and type of diagnosis were considered. The new CMS algorithm provides a good negative predictive estimate of GFR less than 15 ml/min per 1.73 m2.

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Acknowledgements

We are indebted to the efforts of the staff of ESRD Network of Texas Inc (Network 14), especially Leigh Husni and Nancy Carlson, for providing the network data.

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Correspondence to Mouin G. Seikaly.

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Disclaimer The analyses upon which this publication is based were performed under contract number 500–03-NW14 entitled End-Stage Renal Disease Networks Organization for the State Texas, sponsored by the Centers for Medicare and Medicaid Services, Department of Health and Human Services. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government. The authors assume full responsibility for the accuracy and completeness of the ideas presented. This article is a direct result of the Health Care Quality Improvement Program initiated by the Centers for Medicare and Medicaid Services, which has encouraged identification of quality improvement projects derived from analysis of patterns of care, and therefore required no special funding on the part of this contractor. Ideas and contributions to the author concerning experience in engaging with issues presented are welcomed.

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Seikaly, M.G., Loleh, S., Rosenblum, A. et al. Validation of the Center for Medicare and Medicaid Services algorithm for eligibility for dialysis. Pediatr Nephrol 19, 893–897 (2004). https://doi.org/10.1007/s00467-004-1488-y

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  • DOI: https://doi.org/10.1007/s00467-004-1488-y

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