Literature DB >> 25130236

Homelessness and risk of end-stage renal disease.

Marlena Maziarz, Glenn M Chertow, Jonathan Himmelfarb, Yoshio N Hall.   

Abstract

To identify homeless people with chronic kidney disease (CKD) who were at highest risk for end-stage renal disease (ESRD), we studied 982 homeless and 15,674 domiciled people with CKD receiving public health care. We developed four risk prediction models for the primary outcome of ESRD. Overall, 71 homeless and 888 domiciled people progressed to ESRD during follow-up (median: 6.6 years). Homeless people with CKD experienced significantly higher incidence rates of ESRD than poor but domiciled peers. Most homeless people who developed progressive CKD were readily identifiable well before ESRD using a prediction model with five common variables. We estimated that program following homeless people in the highest decile of ESRD risk would have captured 64-85% of those who eventually progressed to ESRD within five years. Thus, an approach targeting homeless people at high risk for ESRD appears feasible and could reduce substantial morbidity and costs incurred by this highly vulnerable group.

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Year:  2014        PMID: 25130236      PMCID: PMC4285149          DOI: 10.1353/hpu.2014.0136

Source DB:  PubMed          Journal:  J Health Care Poor Underserved        ISSN: 1049-2089


  27 in total

1.  Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts.

Authors:  Ron T Gansevoort; Kunihiro Matsushita; Marije van der Velde; Brad C Astor; Mark Woodward; Andrew S Levey; Paul E de Jong; Josef Coresh
Journal:  Kidney Int       Date:  2011-02-02       Impact factor: 10.612

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Journal:  Kidney Int       Date:  1997-06       Impact factor: 10.612

4.  A predictive model for progression of chronic kidney disease to kidney failure.

Authors:  Navdeep Tangri; Lesley A Stevens; John Griffith; Hocine Tighiouart; Ognjenka Djurdjev; David Naimark; Adeera Levin; Andrew S Levey
Journal:  JAMA       Date:  2011-04-11       Impact factor: 56.272

5.  Using proteinuria and estimated glomerular filtration rate to classify risk in patients with chronic kidney disease: a cohort study.

Authors:  Marcello Tonelli; Paul Muntner; Anita Lloyd; Braden J Manns; Matthew T James; Scott Klarenbach; Robert R Quinn; Natasha Wiebe; Brenda R Hemmelgarn
Journal:  Ann Intern Med       Date:  2011-01-04       Impact factor: 25.391

6.  Randomised placebo-controlled trial of effect of ramipril on decline in glomerular filtration rate and risk of terminal renal failure in proteinuric, non-diabetic nephropathy. The GISEN Group (Gruppo Italiano di Studi Epidemiologici in Nefrologia)

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Journal:  Lancet       Date:  1997-06-28       Impact factor: 79.321

7.  The effect of a lower target blood pressure on the progression of kidney disease: long-term follow-up of the modification of diet in renal disease study.

Authors:  Mark J Sarnak; Tom Greene; Xuelei Wang; Gerald Beck; John W Kusek; Allan J Collins; Andrew S Levey
Journal:  Ann Intern Med       Date:  2005-03-01       Impact factor: 25.391

8.  Risks for end-stage renal disease, cardiovascular events, and death in Hispanic versus non-Hispanic white adults with chronic kidney disease.

Authors:  Carmen A Peralta; Michael G Shlipak; Dongjie Fan; Juan Ordoñez; James P Lash; Glenn M Chertow; Alan S Go
Journal:  J Am Soc Nephrol       Date:  2006-09-07       Impact factor: 10.121

9.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

10.  Characteristics of uninsured Americans with chronic kidney disease.

Authors:  Yoshio N Hall; Rudolph A Rodriguez; Edward J Boyko; Glenn M Chertow; Ann M O'Hare
Journal:  J Gen Intern Med       Date:  2009-06-09       Impact factor: 5.128

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  5 in total

1.  Evaluating risk of ESRD in the urban poor.

Authors:  Marlena Maziarz; R Anthony Black; Christine T Fong; Jonathan Himmelfarb; Glenn M Chertow; Yoshio N Hall
Journal:  J Am Soc Nephrol       Date:  2014-12-04       Impact factor: 10.121

Review 2.  Social Determinants of CKD Hotspots.

Authors:  Deidra C Crews; Tessa K Novick
Journal:  Semin Nephrol       Date:  2019-05       Impact factor: 5.299

3.  Towards the best kidney failure prediction tool: a systematic review and selection aid.

Authors:  Chava L Ramspek; Ype de Jong; Friedo W Dekker; Merel van Diepen
Journal:  Nephrol Dial Transplant       Date:  2020-09-01       Impact factor: 5.992

Review 4.  Prediction models used in the progression of chronic kidney disease: A scoping review.

Authors:  David K E Lim; James H Boyd; Elizabeth Thomas; Aron Chakera; Sawitchaya Tippaya; Ashley Irish; Justin Manuel; Kim Betts; Suzanne Robinson
Journal:  PLoS One       Date:  2022-07-26       Impact factor: 3.752

5.  Comprehensive Laboratory Analysis of Korean Acute Alcoholic Intoxication Patients Reveals the Need for a National Hepatitis B Virus Vaccination Program in Korea.

Authors:  Sang-Yong Shin
Journal:  Korean J Fam Med       Date:  2018-10-29
  5 in total

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