Literature DB >> 17015869

Relationship between clinical performance measures and outcomes among patients receiving long-term hemodialysis.

Michael V Rocco1, Diane L Frankenfield, Sari D Hopson, William M McClellan.   

Abstract

BACKGROUND: Patients receiving long-term hemodialysis have a yearly mortality rate of 15% to 20%.
OBJECTIVE: To determine whether attaining clinical performance measures for hemodialysis care is associated with favorable 12-month mortality and hospitalization rates.
DESIGN: Cohort study.
SETTING: Outpatient hemodialysis centers in the United States. PATIENTS: 15 287 patients who were selected from a 5% random sample of patients receiving long-term hemodialysis. MEASUREMENTS: The authors used data from the Centers for Medicare & Medicaid Services End-Stage Renal Disease Clinical Performance Measures Project from 1999 and 2000. The clinical performance measure targets were hemoglobin value of 110 g/L or greater; serum albumin value of 40 g/L or greater or 37 g/L or greater (bromcresol green and bromcresol purple laboratory methods, respectively); use of a fistula for vascular access; and measured single-pool Kt/V urea value of 1.2 or greater. The outcome measures were death or hospitalization during 1-year follow-up.
RESULTS: 8364 patients (54.7%) were hospitalized and 3062 (20.0%) died during the 12-month follow-up period. Six percent of patients did not meet any clinical measure targets, 24% met 1 target, 39% met 2 targets, 24% met 3 targets, and 7% met all 4 targets. The unadjusted 12-month hospitalization and mortality rates for these 5 groups were 60%, 60%, 56%, 49%, and 43% (P < 0.001) and 29%, 25%, 21%, 14%, and 7% (P < 0.001), respectively. The risk for death increased for each additional guideline indicator that was not met: Adjusted hazard ratios were 4.6 (95% CI, 3.3 to 6.4), 3.5 (CI, 2.6 to 4.7), 2.6 (CI, 1.9 to 3.5), and 1.9 (CI, 1.4 to 2.6) for 0, 1, 2, or 3 targets met, respectively, compared with meeting 4 targets (referent). Similarly, the risk for hospitalization increased for each additional guideline indicator that was not met: Adjusted hazard ratios were 1.6 (CI, 1.4 to 1.9), 1.5 (CI, 1.3 to 1.7), 1.3 (CI, 1.1 to 1.5), and 1.1 (CI, 0.98 to 1.3), respectively. LIMITATIONS: It was not possible to determine the roles of severity of illness, other patient factors, or suboptimal care in failure to meet performance measures.
CONCLUSIONS: In patients receiving long-term hemodialysis, meeting multiple clinical measure targets is associated with a decrease in hospitalization and mortality rates.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17015869     DOI: 10.7326/0003-4819-145-7-200610030-00009

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  26 in total

1.  Meeting KDOQI guideline goals at hemodialysis initiation and survival during the first year.

Authors:  Yelena Slinin; Haifeng Guo; David T Gilbertson; Lih-Wen Mau; Kristine Ensrud; Thomas Rector; Allan J Collins; Areef Ishani
Journal:  Clin J Am Soc Nephrol       Date:  2010-06-10       Impact factor: 8.237

2.  Low health literacy associates with increased mortality in ESRD.

Authors:  Kerri L Cavanaugh; Rebecca L Wingard; Raymond M Hakim; Svetlana Eden; Ayumi Shintani; Kenneth A Wallston; Mary Margaret Huizinga; Tom A Elasy; Russell L Rothman; T Alp Ikizler
Journal:  J Am Soc Nephrol       Date:  2010-07-29       Impact factor: 10.121

Review 3.  Long-term management of bilateral, multifocal, recurrent renal carcinoma.

Authors:  Gennady Bratslavsky; W Marston Linehan
Journal:  Nat Rev Urol       Date:  2010-05       Impact factor: 14.432

4.  Nephron sparing surgery in von Hippel-Lindau associated renal cell carcinoma; clinicopathological long-term follow-up.

Authors:  C A Jilg; Hartmut P H Neumann; S Gläsker; O Schäfer; C Leiber; P U Ardelt; M Schwardt; W Schultze-Seemann
Journal:  Fam Cancer       Date:  2012-09       Impact factor: 2.375

Review 5.  A review of the costs and cost effectiveness of interventions in chronic kidney disease: implications for policy.

Authors:  Joseph Menzin; Lisa M Lines; Daniel E Weiner; Peter J Neumann; Christine Nichols; Lauren Rodriguez; Irene Agodoa; Tracy Mayne
Journal:  Pharmacoeconomics       Date:  2011-10       Impact factor: 4.981

6.  Characteristics and performance of minority-serving dialysis facilities.

Authors:  Yoshio N Hall; Ping Xu; Glenn M Chertow; Jonathan Himmelfarb
Journal:  Health Serv Res       Date:  2013-12-20       Impact factor: 3.402

7.  Serum albumin as a predictor of mortality in peritoneal dialysis: comparisons with hemodialysis.

Authors:  Rajnish Mehrotra; Uyen Duong; Sirin Jiwakanon; Csaba P Kovesdy; John Moran; Joel D Kopple; Kamyar Kalantar-Zadeh
Journal:  Am J Kidney Dis       Date:  2011-05-20       Impact factor: 8.860

8.  Economic burden of repeat renal surgery on solitary kidney--do the ends justify the means? A cost analysis.

Authors:  Nnenaya Q Agochukwu; Adam R Metwalli; Alexander Kutikov; Peter A Pinto; W Marston Linehan; Gennady Bratslavsky
Journal:  J Urol       Date:  2012-09-19       Impact factor: 7.450

9.  Relationship among length of facility ownership, clinical performance, and mortality.

Authors:  David Van Wyck; John Robertson; Allen Nissenson; Robert Provenzano; Dennis Kogod
Journal:  Clin J Am Soc Nephrol       Date:  2009-12-10       Impact factor: 8.237

10.  Association between proximity to the attending nephrologist and mortality among patients receiving hemodialysis.

Authors:  Marcello Tonelli; Braden Manns; Bruce Culleton; Scott Klarenbach; Brenda Hemmelgarn; Natasha Wiebe; John S Gill
Journal:  CMAJ       Date:  2007-10-23       Impact factor: 8.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.