Literature DB >> 21719686

High rates of mortality and technique failure in peritoneal dialysis patients after critical illness.

Ayaz Khan1, Claudio Rigatto, Mauro Verrelli, Paul Komenda, Julie Mojica, Dan Roberts, Manish M Sood.   

Abstract

INTRODUCTION: Little is known regarding the causes and outcomes of peritoneal dialysis (PD) patients admitted to the intensive care unit (ICU). We explored the outcomes of technique failure and mortality in a cohort of PD patients admitted to the ICU.
METHODS: Using a provincial database of 990 incident PD patients followed from January 1997 to June 2009, we identified 90 (9%) who were admitted to the ICU. Parametric and nonparametric tests were used as appropriate to determine differences in baseline characteristics. The Cox proportional hazards and competing risk methods were used to investigate associations.
RESULTS: Compared with other patients, those admitted to the ICU had been on PD longer (p < 0.0001) and were more often on continuous ambulatory PD (74.2% vs 25.8%, p = 0.016). Cardiac problems were the most common admitting diagnosis (50%), followed by sepsis (23%), with peritonitis accounting for 69% of the sepsis admissions. The 1-year mortality was 53.3%, with 12% alive and converted to hemodialysis, and one third remaining alive on PD. In multivariate Cox modeling, age [hazard ratio (HR): 1.01; 95% confidence interval (CI): 0.99 to 1.03], white blood cell count (HR: 1.02; 95% CI: 1.00 to 1.04), temperature (HR: 0.75; 95% CI: 0.61 to 0.92), and peritonitis (1.64; 95% CI: 1.21 to 2.22) at admission to the ICU were associated with the composite outcome of technique failure or death. In a competing risk analysis, the risk for death was 30%, and for technique failure, 36% at 1 year.
CONCLUSIONS: Patients on PD have high rates of death and technique failure after admission to the ICU.

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Mesh:

Year:  2011        PMID: 21719686      PMCID: PMC3525382          DOI: 10.3747/pdi.2010.00300

Source DB:  PubMed          Journal:  Perit Dial Int        ISSN: 0896-8608            Impact factor:   1.756


  38 in total

1.  Adverse outcomes among Aboriginal patients receiving peritoneal dialysis.

Authors:  Manish M Sood; Paul Komenda; Amy R Sood; Martina Reslerova; Mauro Verrelli; Chris Sathianathan; Loretta Eng; Amanda Eng; Claudio Rigatto
Journal:  CMAJ       Date:  2010-07-26       Impact factor: 8.262

2.  End-stage kidney disease patients in the intensive care unit.

Authors:  Sean M Bagshaw; Shigehiko Uchino
Journal:  Nephrol Dial Transplant       Date:  2009-03-04       Impact factor: 5.992

3.  Outcomes of chronic dialysis patients admitted to the intensive care unit.

Authors:  Bradford Strijack; Julie Mojica; Manish Sood; Paul Komenda; Joe Bueti; Martina Reslerova; Dan Roberts; Claudio Rigatto
Journal:  J Am Soc Nephrol       Date:  2009-09-03       Impact factor: 10.121

4.  Impact of age on peritonitis risk in peritoneal dialysis patients: an era effect.

Authors:  Sharon J Nessim; Joanne M Bargman; Peter C Austin; Ken Story; Sarbjit V Jassal
Journal:  Clin J Am Soc Nephrol       Date:  2008-11-05       Impact factor: 8.237

5.  End-stage renal disease patients on renal replacement therapy in the intensive care unit: short- and long-term outcome.

Authors:  Max Bell; Fredrik Granath; Staffan Schön; Erland Löfberg; Anders Ekbom; Claes-Roland Martling
Journal:  Crit Care Med       Date:  2008-10       Impact factor: 7.598

6.  Predictors of peritonitis in patients on peritoneal dialysis: results of a large, prospective Canadian database.

Authors:  Sharon J Nessim; Joanne M Bargman; Peter C Austin; Rosane Nisenbaum; Sarbjit V Jassal
Journal:  Clin J Am Soc Nephrol       Date:  2009-04-30       Impact factor: 8.237

Review 7.  Peritonitis - does peritoneal dialysis modality make a difference?

Authors:  Beth Piraino; Heena Sheth
Journal:  Blood Purif       Date:  2010-01-08       Impact factor: 2.614

8.  Outcomes of critically ill patients with acute kidney injury and end-stage renal disease requiring renal replacement therapy: a case-control study.

Authors:  Eduardo Rocha; Márcio Soares; Carla Valente; Lina Nogueira; Hélio Bonomo; Marise Godinho; Márcia Ismael; Ricardo V R Valença; José E S Machado; Elizabeth Maccariello
Journal:  Nephrol Dial Transplant       Date:  2009-01-22       Impact factor: 5.992

9.  Long-term survival of chronic dialysis patients following survival from an episode of multiple-organ failure.

Authors:  Richard J Chapman; Maie Templeton; Simon Ashworth; Robert Broomhead; Adam McLean; Stephen J Brett
Journal:  Crit Care       Date:  2009-05-05       Impact factor: 9.097

10.  Haemodialysis and peritoneal dialysis patients admitted to intensive care units.

Authors:  Nishkantha Arulkumaran; John B Eastwood; Debasish Banerjee
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

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1.  Using a multidisciplinary training program to reduce peritonitis in peritoneal dialysis patients.

Authors:  Liliana Gadola; Carla Poggi; María Poggio; Lucía Sáez; Alejandra Ferrari; Jorge Romero; Soledad Fumero; Gianella Ghelfi; Liliana Chifflet; Patricia Larre Borges
Journal:  Perit Dial Int       Date:  2012-07-01       Impact factor: 1.756

2.  Development and Testing of Self-Management Scale for PD Patients.

Authors:  Xiao-hua Wang; Jian-hong Pang; Lu Lin; Yi Xu; Qing Jiang; Qi Wang; Guo-yuan Lu; Nian-song Wang
Journal:  Perit Dial Int       Date:  2014-03-01       Impact factor: 1.756

3.  Septic shock in chronic dialysis patients: clinical characteristics, antimicrobial therapy and mortality.

Authors:  Edward Clark; Anand Kumar; Amit Langote; Stephen Lapinsky; Peter Dodek; Andreas Kramer; Gordon Wood; Sean M Bagshaw; Ken Wood; Dave Gurka; Manish M Sood
Journal:  Intensive Care Med       Date:  2015-11-25       Impact factor: 17.440

4.  Determination of the optimal case definition for the diagnosis of end-stage renal disease from administrative claims data in Manitoba, Canada.

Authors:  Paul Komenda; Nancy Yu; Stella Leung; Keevin Bernstein; James Blanchard; Manish Sood; Claudio Rigatto; Navdeep Tangri
Journal:  CMAJ Open       Date:  2015-07-17

5.  Prediction of premature all-cause mortality in patients receiving peritoneal dialysis using modified artificial neural networks.

Authors:  Qiongxiu Zhou; Xiaohan You; Haiyan Dong; Zhe Lin; Yanling Shi; Zhen Su; Rongrong Shao; Chaosheng Chen; Ji Zhang
Journal:  Aging (Albany NY)       Date:  2021-05-13       Impact factor: 5.682

Review 6.  Life-threatening infections in medically immunocompromised patients.

Authors:  Hasan M Al-Dorzi; Raymond Khan; Yaseen M Arabi
Journal:  Crit Care Clin       Date:  2013-08-12       Impact factor: 3.598

  6 in total

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