Literature DB >> 23124788

The USRDS: what you need to know about what it can and can't tell us about ESRD.

Robert N Foley1, Allan J Collins.   

Abstract

This article summarizes the administrative structure underlying the Unites States Renal Data System (USRDS); summarizes incidence, prevalence, patient characteristics, and treatment modalities; and describes data regarding clinical indicators and preventive care, hospitalization, survival, and costs. The USRDS recently instituted a comprehensive assessment system to characterize the transition to the new Centers for Medicare & Medicaid Services Prospective Payment System, which bundles into a single payment several integral components of dialysis care. This challenging initiative will be an important component of future USRDS Annual Data Reports. The main strengths of the USRDS are its size and representativeness, nearly complete inclusion of the US end-stage renal disease population, and linkage to Medicare claims. Limitations include lack of continuous validation of its methods, lack of complete comorbidity and laboratory data at registration, an initial survival bias, and lack of accuracy of cause-of-death reporting.

Entities:  

Mesh:

Year:  2012        PMID: 23124788     DOI: 10.2215/CJN.06840712

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  65 in total

1.  Validation of Systemic Lupus Erythematosus Diagnosis as the Primary Cause of Renal Failure in the US Renal Data System.

Authors:  Anna Broder; Wenzhu B Mowrey; Peter Izmirly; Karen H Costenbader
Journal:  Arthritis Care Res (Hoboken)       Date:  2017-04       Impact factor: 4.794

Review 2.  Improving outcomes in patients with lupus and end-stage renal disease.

Authors:  Antonio Inda-Filho; Joel Neugarten; Chaim Putterman; Anna Broder
Journal:  Semin Dial       Date:  2013-09-04       Impact factor: 3.455

Review 3.  Strategies for postmarketing surveillance of drugs and devices in patients with ESRD undergoing dialysis.

Authors:  Moshe Vardi; Robert W Yeh; Charles A Herzog; Wolfgang C Winkelmayer; Soko Setoguchi; David M Charytan
Journal:  Clin J Am Soc Nephrol       Date:  2013-08-22       Impact factor: 8.237

4.  Hospital Readmission among New Dialysis Patients Associated with Young Age and Poor Functional Status.

Authors:  LaTonya J Hickson; Bjorg Thorsteinsdottir; Priya Ramar; Megan S Reinalda; Cynthia S Crowson; Amy W Williams; Robert C Albright; Macaulay A Onuigbo; Andrew D Rule; Nilay D Shah
Journal:  Nephron       Date:  2018-01-09       Impact factor: 2.847

5.  Comparative effectiveness of two anemia management strategies for complex elderly dialysis patients.

Authors:  Yi Zhang; Mae Thamer; James Kaufman; Dennis Cotter; Miguel A Hernán
Journal:  Med Care       Date:  2014-03       Impact factor: 2.983

6.  Family Perceptions of Quality of End-of-Life Care for Veterans with Advanced CKD.

Authors:  Claire A Richards; Chuan-Fen Liu; Paul L Hebert; Mary Ersek; Melissa W Wachterman; Lynn F Reinke; Leslie L Taylor; Ann M O'Hare
Journal:  Clin J Am Soc Nephrol       Date:  2019-08-29       Impact factor: 8.237

7.  Association of Nondisease-Specific Problems with Mortality, Long-Term Care, and Functional Impairment among Older Adults Who Require Skilled Nursing Care after Dialysis Initiation.

Authors:  C Barrett Bowling; Laura Plantinga; Rasheeda K Hall; Anna Mirk; Rebecca Zhang; Nancy Kutner
Journal:  Clin J Am Soc Nephrol       Date:  2016-10-12       Impact factor: 8.237

8.  Transplant waitlisting attenuates the association between hemodialysis access type and mortality.

Authors:  Courtenay M Holscher; Satinderjit S Locham; Christine E Haugen; Sunjae Bae; Dorry L Segev; Mahmoud B Malas
Journal:  J Nephrol       Date:  2019-01-02       Impact factor: 3.902

9.  Cardiovascular Outcomes of Calcium-Free vs Calcium-Based Phosphate Binders in Patients 65 Years or Older With End-stage Renal Disease Requiring Hemodialysis.

Authors:  Julia Spoendlin; Julie M Paik; T Tsacogianis; Seoyoung C Kim; Sebastian Schneeweiss; Rishi J Desai
Journal:  JAMA Intern Med       Date:  2019-06-01       Impact factor: 21.873

10.  Impact of age, race and ethnicity on dialysis patient survival and kidney transplantation disparities.

Authors:  Connie M Rhee; Paungpaga Lertdumrongluk; Elani Streja; Jongha Park; Hamid Moradi; Wei Ling Lau; Keith C Norris; Allen R Nissenson; Alpesh N Amin; Csaba P Kovesdy; Kamyar Kalantar-Zadeh
Journal:  Am J Nephrol       Date:  2014-02-15       Impact factor: 3.754

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.