Literature DB >> 22098660

Referral and comanagement of the patient with CKD.

Garland Adam Campbell1, Warren Kline Bolton.   

Abstract

CKD is a common condition with well-documented associated morbidity and mortality. Given the substantial disease burden of CKD and the cost of ESRD, interventions to delay progression and decrease comorbidity remain an important part of CKD care. Early referral to nephrologists has been shown to delay progression of CKD. Conversely, late referral has been associated with increased hospitalizations, higher mortality, and worsened secondary outcomes. Late referral to nephrology has been consequent to numerous factors, including the health care system, provider issues, and patient related factors. In addition to timely referral to nephrologists, the optimal modality to provide care for CKD patients has also been evaluated. Multidisciplinary clinics have shown significant improvements in other disease states. Data for the use of these clinics have shown benefit in mortality, progression, and laboratory markers of disease severity. However, studies supporting the use of multidisciplinary clinics in CKD have been mixed. Evidence-based guidelines from groups, including Renal Physicians Association and NKF, provide tools for management of CKD patients by both generalists and nephrologists. Through the use of guidelines, timely referral, and a multidisciplinary approach to care, the ability to provide effective and efficient care for CKD patients can be improved. We present a model to guide a multidisciplinary comanagement approach to providing care to patients with CKD.
Copyright © 2011 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22098660     DOI: 10.1053/j.ackd.2011.10.006

Source DB:  PubMed          Journal:  Adv Chronic Kidney Dis        ISSN: 1548-5595            Impact factor:   3.620


  8 in total

1.  Medications associated with restless legs syndrome: a case-control study in the US Renal Data System (USRDS).

Authors:  Donald L Bliwise; Rebecca H Zhang; Nancy G Kutner
Journal:  Sleep Med       Date:  2014-06-13       Impact factor: 3.492

2.  Nephrology comanagement and the quality of antibiotic prescribing in primary care for patients with chronic kidney disease: a retrospective cross-sectional study.

Authors:  Justin X G Zhu; Danielle M Nash; Eric McArthur; Alexandra Farag; Amit X Garg; Arsh K Jain
Journal:  Nephrol Dial Transplant       Date:  2019-04-01       Impact factor: 5.992

3.  Impact of collaboration between general practitioners and nephrologists on renal function: an experience in the Hitachi area.

Authors:  Kei Nagai; Atsushi Ueda
Journal:  Clin Exp Nephrol       Date:  2022-05-13       Impact factor: 2.617

4.  Multicenter epidemiological study to assess the population of CKD patients in Greece: results from the PRESTAR study.

Authors:  Konstantinos Sombolos; Demitrios Tsakiris; John Boletis; Demetrios Vlahakos; Kostas C Siamopoulos; Vassilios Vargemezis; Pavlos Nikolaidis; Christos Iatrou; Eugene Dafnis; Konstantinos Xynos; Christos Argyropoulos
Journal:  PLoS One       Date:  2014-11-18       Impact factor: 3.240

5.  Specialist and primary care physicians' views on barriers to adequate preparation of patients for renal replacement therapy: a qualitative study.

Authors:  Raquel C Greer; Jessica M Ameling; Kerri L Cavanaugh; Bernard G Jaar; Vanessa Grubbs; Carrie E Andrews; Patti Ephraim; Neil R Powe; Julia Lewis; Ebele Umeukeje; Luis Gimenez; Sam James; L Ebony Boulware
Journal:  BMC Nephrol       Date:  2015-03-28       Impact factor: 2.388

6.  Evaluating the implementation strategy for estimated glomerular filtration rate reporting in Manitoba: the effect on referral numbers, wait times, and appropriateness of consults.

Authors:  Jay Hingwala; Sandip Bhangoo; Brett Hiebert; Manish M Sood; Claudio Rigatto; Navdeep Tangri; Paul Komenda
Journal:  Can J Kidney Health Dis       Date:  2014-05-22

7.  Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: A machine learning-based prediction model by using a big database.

Authors:  Daijo Inaguma; Akimitsu Kitagawa; Ryosuke Yanagiya; Akira Koseki; Toshiya Iwamori; Michiharu Kudo; Yukio Yuzawa
Journal:  PLoS One       Date:  2020-09-17       Impact factor: 3.240

8.  Validation of a Novel Predictive Algorithm for Kidney Failure in Patients Suffering from Chronic Kidney Disease: The Prognostic Reasoning System for Chronic Kidney Disease (PROGRES-CKD).

Authors:  Francesco Bellocchio; Caterina Lonati; Jasmine Ion Titapiccolo; Jennifer Nadal; Heike Meiselbach; Matthias Schmid; Barbara Baerthlein; Ulrich Tschulena; Markus Schneider; Ulla T Schultheiss; Carlo Barbieri; Christoph Moore; Sonja Steppan; Kai-Uwe Eckardt; Stefano Stuard; Luca Neri
Journal:  Int J Environ Res Public Health       Date:  2021-11-30       Impact factor: 3.390

  8 in total

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