Literature DB >> 35916847

Association Between Dialysis Facility Ownership and Access to the Waiting List and Transplant in Pediatric Patients With End-stage Kidney Disease in the US.

Sandra Amaral1, Charles E McCulloch2, Feng Lin2, Barbara A Grimes2, Susan Furth1, Bradley Warady3, Celina Brunson4, Salpi Siyahian5, Elaine Ku2,5.   

Abstract

Importance: Care of adults at profit vs nonprofit dialysis facilities has been associated with lower access to transplant. Whether profit status is associated with transplant access for pediatric patients with end-stage kidney disease is unknown. Objective: To determine whether profit status of dialysis facilities is associated with placement on the kidney transplant waiting list or receipt of kidney transplant among pediatric patients receiving maintenance dialysis. Design, Setting, and Participants: This retrospective cohort study reviewed the US Renal Data System records of 13 333 patients younger than 18 years who started dialysis from 2000 through 2018 in US dialysis facilities (followed up through June 30, 2019). Exposures: Time-updated profit status of dialysis facilities. Main Outcomes and Measures: Cox models, adjusted for clinical and demographic factors, were used to examine time to wait-listing and receipt of kidney transplant by profit status of dialysis facilities.
Results: A total of 13 333 pediatric patients who started receiving maintenance dialysis were included in the analysis (median age, 12 years [IQR, 3-15 years]; 6054 females [45%]; 3321 non-Hispanic Black patients [25%]; 3695 Hispanic patients [28%]). During a median follow-up of 0.87 years (IQR, 0.39-1.85 years), the incidence of wait-listing was lower at profit facilities than at nonprofit facilities, 36.2 vs 49.8 per 100 person-years, respectively (absolute risk difference, -13.6 (95% CI, -15.4 to -11.8 per 100 person-years; adjusted hazard ratio [HR] for wait-listing at profit vs nonprofit facilities, 0.79; 95% CI, 0.75-0.83). During a median follow-up of 1.52 years (IQR, 0.75-2.87 years), the incidence of kidney transplant (living or deceased donor) was also lower at profit facilities than at nonprofit facilities, 21.5 vs 31.3 per 100 person-years, respectively; absolute risk difference, -9.8 (95% CI, -10.9 to -8.6 per 100 person-years) adjusted HR for kidney transplant at profit vs nonprofit facilities, 0.71 (95% CI, 0.67-0.74). Conclusions and Relevance: Among a cohort of pediatric patients receiving dialysis in the US from 2000 through 2018, profit facility status was associated with longer time to wait-listing and longer time to kidney transplant.

Entities:  

Mesh:

Year:  2022        PMID: 35916847      PMCID: PMC9346544          DOI: 10.1001/jama.2022.11231

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   157.335


  15 in total

1.  Impact of specialization of primary nephrologist on the care of pediatric hemodialysis patients.

Authors:  Jeffrey J Fadrowski; Diane L Frankenfield; Aaron L Friedman; Bradley A Warady; Alicia M Neu; Barbara A Fivush
Journal:  Am J Kidney Dis       Date:  2006-01       Impact factor: 8.860

2.  Disparities in provision of transplant education by profit status of the dialysis center.

Authors:  K S Balhara; L M Kucirka; B G Jaar; D L Segev
Journal:  Am J Transplant       Date:  2012-08-06       Impact factor: 8.086

3.  Organ allocation and utilization in pediatric transplantation.

Authors:  Walter S Andrews; Bartholomew J Kane; Richard J Hendrickson
Journal:  Semin Pediatr Surg       Date:  2017-07-26       Impact factor: 2.754

4.  Accountability of Dialysis Facilities in Transplant Referral: CMS Needs to Collect National Data on Dialysis Facility Kidney Transplant Referrals.

Authors:  Kevin John Fowler
Journal:  Clin J Am Soc Nephrol       Date:  2018-01-25       Impact factor: 8.237

5.  Racial and Ethnic Disparities in Survival of Children with ESRD.

Authors:  Elaine Ku; Charles E McCulloch; Barbara A Grimes; Kirsten L Johansen
Journal:  J Am Soc Nephrol       Date:  2016-12-29       Impact factor: 10.121

6.  Time for reform in transplant program-specific reporting: AST/ASTS transplant metrics taskforce.

Authors:  Anil Chandraker; Kenneth A Andreoni; Robert S Gaston; John Gill; Jayme E Locke; Amit K Mathur; Douglas J Norman; Rachel E Patzer; Abbas Rana; Lloyd E Ratner; Jesse D Schold; Timothy L Pruett
Journal:  Am J Transplant       Date:  2019-05-23       Impact factor: 8.086

7.  Dialysis in Children and Adolescents: The Pediatric Nephrology Perspective.

Authors:  Deepa H Chand; Sarah Swartz; Shamir Tuchman; Rudolph P Valentini; Michael J G Somers
Journal:  Am J Kidney Dis       Date:  2016-12-07       Impact factor: 8.860

8.  Variables with time-varying effects and the Cox model: some statistical concepts illustrated with a prognostic factor study in breast cancer.

Authors:  Carine A Bellera; Gaëtan MacGrogan; Marc Debled; Christine Tunon de Lara; Véronique Brouste; Simone Mathoulin-Pélissier
Journal:  BMC Med Res Methodol       Date:  2010-03-16       Impact factor: 4.615

Review 9.  Factors affecting outcomes in patients reaching end-stage kidney disease worldwide: differences in access to renal replacement therapy, modality use, and haemodialysis practices.

Authors:  Bruce M Robinson; Tadao Akizawa; Kitty J Jager; Peter G Kerr; Rajiv Saran; Ronald L Pisoni
Journal:  Lancet       Date:  2016-05-22       Impact factor: 79.321

10.  Neurocognitive and Educational Outcomes in Children and Adolescents with CKD: A Systematic Review and Meta-Analysis.

Authors:  Kerry Chen; Madeleine Didsbury; Anita van Zwieten; Martin Howell; Siah Kim; Allison Tong; Kirsten Howard; Natasha Nassar; Belinda Barton; Suncica Lah; Jennifer Lorenzo; Giovanni Strippoli; Suetonia Palmer; Armando Teixeira-Pinto; Fiona Mackie; Steven McTaggart; Amanda Walker; Tonya Kara; Jonathan C Craig; Germaine Wong
Journal:  Clin J Am Soc Nephrol       Date:  2018-02-22       Impact factor: 8.237

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.