Literature DB >> 30630859

Patients,' Nephrologists,' and Predicted Estimations of ESKD Risk Compared with 2-Year Incidence of ESKD.

O Alison Potok1, Hoang Anh Nguyen2, Joseph A Abdelmalek1,3, Tomasz Beben1,3, Tyler B Woodell1, Dena E Rifkin4,3.   

Abstract

BACKGROUND AND OBJECTIVES: The rate of progression to ESKD is variable, and prognostic information helps patients and physicians plan for future ESKD. We assessed the estimations of ESKD risk of patients with CKD and physicians and compared them with risk calculators and outcomes at 2 years. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This prospective observational study assessed 257 adult patients with CKD stages 3-5 and their nephrologists at University of California, San Diego and Veterans Affairs San Diego CKD clinics. Patients' and nephrologists' estimations of 2-year ESKD risk were evaluated, and objective estimation of 2-year risk was determined using kidney failure risk equations; actual incidence rates of ESKD and death were ascertained by chart review. Participants' baseline characteristics were compared across kidney failure risk equation risk levels and according to whether patients' estimations were more optimistic or pessimistic than physicians' estimations. We examined correlations between estimations and compared estimations with outcomes using c statistics and calibration plots.
RESULTS: Average age was 65 (±13) years old, and eGFR was 34 (±13) ml/min per 1.73 m2. Overall, 13% reached ESKD, and 9% died. About one quarter of patients gave estimates that were >20% more optimistic than physicians, and more than one in ten gave estimates that were >20% more pessimistic. Physicians' and kidney failure risk equation estimations had the strongest correlation (r=0.72; P<0.001) compared with 0.50 (P<0.001) between physicians and patients and 0.47 (P<0.001) between patients and kidney failure risk equation. Although all three estimations provided reasonable risk rankings (c statistics >0.8), physicians and patients overestimated risk compared with actual outcomes; no patient whose physician estimated a risk of ESKD <15% reached ESKD at 2 years. The kidney failure risk equation was best calibrated to actual ESKD risk.
CONCLUSIONS: Compared with actual ESKD incidence, the kidney failure risk equation outperformed patients' and physicians' estimations of ESKD incidence. Patients and physicians overestimated risk compared with the kidney failure risk equation.
Copyright © 2019 by the American Society of Nephrology.

Entities:  

Keywords:  Calibration; Disease Progression; ESKD; Incidence; Kidney Failure, Chronic; Prognosis; Progression of Kidney Failure; Prospective Studies; Renal Insufficiency; Renal Insufficiency, Chronic; Veterans; chronic kidney disease; dialysis; glomerular filtration rate; kidney failure

Year:  2019        PMID: 30630859      PMCID: PMC6390919          DOI: 10.2215/CJN.07970718

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


  20 in total

1.  What patients don't know may hurt them: knowledge and the perception of knowledge among patients with CKD.

Authors:  Delphine S Tuot; Laura C Plantinga
Journal:  Kidney Int       Date:  2011-12       Impact factor: 10.612

2.  Associations among perceived and objective disease knowledge and satisfaction with physician communication in patients with chronic kidney disease.

Authors:  Julie A Wright Nunes; Kenneth A Wallston; Svetlana K Eden; Ayumi K Shintani; T Alp Ikizler; Kerri L Cavanaugh
Journal:  Kidney Int       Date:  2011-08-10       Impact factor: 10.612

3.  Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis.

Authors:  Navdeep Tangri; Morgan E Grams; Andrew S Levey; Josef Coresh; Lawrence J Appel; Brad C Astor; Gabriel Chodick; Allan J Collins; Ognjenka Djurdjev; C Raina Elley; Marie Evans; Amit X Garg; Stein I Hallan; Lesley A Inker; Sadayoshi Ito; Sun Ha Jee; Csaba P Kovesdy; Florian Kronenberg; Hiddo J Lambers Heerspink; Angharad Marks; Girish N Nadkarni; Sankar D Navaneethan; Robert G Nelson; Stephanie Titze; Mark J Sarnak; Benedicte Stengel; Mark Woodward; Kunitoshi Iseki
Journal:  JAMA       Date:  2016-01-12       Impact factor: 56.272

4.  Awareness of chronic kidney disease among patients and providers.

Authors:  Laura C Plantinga; Delphine S Tuot; Neil R Powe
Journal:  Adv Chronic Kidney Dis       Date:  2010-05       Impact factor: 3.620

5.  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

6.  Evaluating the Illness Perception Questionnaire on patients with chronic kidney disease in Sweden.

Authors:  Agneta Pagels; Birgitta Klang Söderquist; Susanne Heiwe
Journal:  Scand J Caring Sci       Date:  2011-11-24

7.  Development and results of a kidney disease knowledge survey given to patients with CKD.

Authors:  Julie A Wright; Kenneth A Wallston; Tom A Elasy; T Alp Ikizler; Kerri L Cavanaugh
Journal:  Am J Kidney Dis       Date:  2010-12-18       Impact factor: 8.860

8.  Development and validation of a short-form, rapid estimate of adult literacy in medicine.

Authors:  Ahsan M Arozullah; Paul R Yarnold; Charles L Bennett; Robert C Soltysik; Michael S Wolf; Rosario M Ferreira; Shoou-Yih D Lee; Stacey Costello; Adil Shakir; Caroline Denwood; Fred B Bryant; Terry Davis
Journal:  Med Care       Date:  2007-11       Impact factor: 2.983

9.  The Patient Health Questionnaire-2: validity of a two-item depression screener.

Authors:  Kurt Kroenke; Robert L Spitzer; Janet B W Williams
Journal:  Med Care       Date:  2003-11       Impact factor: 2.983

10.  Patient awareness of chronic kidney disease: trends and predictors.

Authors:  Laura C Plantinga; L Ebony Boulware; Josef Coresh; Lesley A Stevens; Edgar R Miller; Rajiv Saran; Kassandra L Messer; Andrew S Levey; Neil R Powe
Journal:  Arch Intern Med       Date:  2008-11-10
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  4 in total

1.  Patient Perspectives on Integrating Risk Prediction Into Kidney Care: Opinion Piece.

Authors:  Dwight Sparkes; Loretta Lee; Blair Rutter; Oksana Harasemiw; Bjoerg Thorsteinsdottir; Navdeep Tangri
Journal:  Can J Kidney Health Dis       Date:  2022-03-14

2.  A validation study of the kidney failure risk equation in advanced chronic kidney disease according to disease aetiology with evaluation of discrimination, calibration and clinical utility.

Authors:  Ibrahim Ali; Rosemary L Donne; Philip A Kalra
Journal:  BMC Nephrol       Date:  2021-05-24       Impact factor: 2.388

3.  Comparison of a Kidney Replacement Therapy Risk Score Developed in Kaiser Permanente Northwest vs Estimated Glomerular Filtration Rate in Advanced Chronic Kidney Disease Using Decision Curve Analysis.

Authors:  Ken J Park; Jose G Benuzillo; Erin Keast; Micah L Thorp; David M Mosen; Eric S Johnson
Journal:  Perm J       Date:  2021-12-07

4.  Independent External Validation and Comparison of Death and Kidney Replacement Therapy Prediction Models in Advanced CKD.

Authors:  Susan J Thanabalasingam; Eduard A Iliescu; Patrick A Norman; Andrew G Day; Ayub Akbari; Gregory L Hundemer; Christine A White
Journal:  Kidney Med       Date:  2022-03-07
  4 in total

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