Literature DB >> 19231758

CKD surveillance using administrative data: impact on the health care system.

Allan J Collins1, Shu-Cheng Chen, David T Gilbertson, Robert N Foley.   

Abstract

The US Renal Data System Coordinating Center identifies patients with chronic kidney disease (CKD) in administrative data sets and determines the overall size of the population with a diagnosis of CKD, with such major comorbid conditions as diabetes and congestive heart failure, and associated expenditures. A 2-year observation period is used to define individuals with at least 1 International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code from inpatient claims or at least 2 from outpatient claims or physician and supplier service claims for kidney disease and comorbid conditions. This method is applied to the 5% general Medicare data and extrapolated to the general Medicare population. In the Medicare and dually enrolled Medicare/Medicaid populations, 8% to 10% have CKD or end-stage renal disease, and these groups account for 27% to 35% of expenditures. Hospitalization rates for all patients with cardiovascular disease, congestive heart failure, infection, and pneumonia are greatest for dialysis patients and patients with CKD compared with patients without CKD. Regarding detection in groups at high risk of CKD, approximately 1 in 5 patients with diabetes, only 1 in 50 patients with hypertension, and 1 in 4 patients with diabetes and hypertension had at least 1 microalbuminuria test in a year. CKD is a major pubic health issue with large financial implications. Continued surveillance and detection programs are needed to address the burden of disease, level of comorbidity, and access to care. Long-term trend analyses are needed to determine whether morbidity and mortality rates change based on greater detection and treatment efforts.

Entities:  

Mesh:

Year:  2009        PMID: 19231758     DOI: 10.1053/j.ajkd.2008.07.055

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  20 in total

1.  Characterizing Health Outcomes in Idiopathic Pulmonary Fibrosis using US Health Claims Data.

Authors:  Kathleen M Mortimer; Dorothee B Bartels; Nadine Hartmann; Jorge Capapey; Jing Yang; Robert Gately; Cheryl Enger
Journal:  Respiration       Date:  2020-01-24       Impact factor: 3.580

2.  Aortic stiffness and kidney disease in an elderly population.

Authors:  Katherine H Michener; Gary F Mitchell; Farzad Noubary; Naya Huang; Tamara Harris; Margret B Andresdottir; Runolfur Palsson; Vilmundur Gudnason; Andrew S Levey
Journal:  Am J Nephrol       Date:  2015-06-06       Impact factor: 3.754

3.  High Elmo1 expression aggravates and low Elmo1 expression prevents diabetic nephropathy.

Authors:  Catherine K Hathaway; Albert S Chang; Ruriko Grant; Hyung-Suk Kim; Victoria J Madden; C Robert Bagnell; J Charles Jennette; Oliver Smithies; Masao Kakoki
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-08       Impact factor: 11.205

4.  Use of electronic health records and administrative data for public health surveillance of eye health and vision-related conditions in the United States.

Authors:  Amanda F Elliott; Arthur Davidson; Flora Lum; Michael F Chiang; Jinan B Saaddine; Xinzhi Zhang; John E Crews; Chiu-Fang Chou
Journal:  Am J Ophthalmol       Date:  2012-12       Impact factor: 5.258

5.  Validation study of medicare claims to identify older US adults with CKD using the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

Authors:  Paul Muntner; Orlando M Gutiérrez; Hong Zhao; Caroline S Fox; Nicole C Wright; Jeffrey R Curtis; William McClellan; Henry Wang; Meredith Kilgore; David G Warnock; C Barrett Bowling
Journal:  Am J Kidney Dis       Date:  2014-09-19       Impact factor: 8.860

6.  Association of prescribed Chinese herbal medicine use with risk of end-stage renal disease in patients with chronic kidney disease.

Authors:  Ming-Yen Lin; Yi-Wen Chiu; Jung-San Chang; Hung-Lung Lin; Charles Tzu-Chi Lee; Guei-Fen Chiu; Mei-Chuan Kuo; Ming-Tsang Wu; Hung-Chun Chen; Shang-Jyh Hwang
Journal:  Kidney Int       Date:  2015-08-05       Impact factor: 10.612

7.  Strategies to Reduce Rehospitalization in Patients with CKD and Kidney Failure.

Authors:  Simit Doshi; Jay B Wish
Journal:  Clin J Am Soc Nephrol       Date:  2020-07-13       Impact factor: 8.237

8.  Impact of moderate to severe renal impairment on mortality and appropriate shocks in patients with implantable cardioverter defibrillators.

Authors:  Venkata M Alla; Kishlay Anand; Mandeep Hundal; Aimin Chen; Showri Karnam; Tom Hee; Claire Hunter; Aryan N Mooss; Dennis Esterbrooks; Syed M Mohiuddin
Journal:  Cardiol Res Pract       Date:  2010-12-15       Impact factor: 1.866

9.  Prosthetic status and treatment needs for lost masticatory function in haemodialysis patients.

Authors:  Magdalena Wilczyńska-Borawska; Jolanta Małyszko; Dorota Cylwik-Rokicka; Michał Myśliwiec
Journal:  Arch Med Sci       Date:  2012-02-29       Impact factor: 3.318

10.  Chronic kidney disease itself is a causal risk factor for stroke beyond traditional cardiovascular risk factors: a nationwide cohort study in Taiwan.

Authors:  Yi-Chun Chen; Yu-Chieh Su; Ching-Chih Lee; Yung-Sung Huang; Shang-Jyh Hwang
Journal:  PLoS One       Date:  2012-04-30       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.