Impact of end-stage renal disease on hospital outcomes among patients admitted to intensive care units: A retrospective matched-pair cohort study

Nephrology

Volumn 22, Issue 8, 2017, Pages 617-623

  Iwagami, Masao ^a   Yasunaga, Hideo ^b   Matsui, Hiroki ^b   Horiguchi, Hiromasa ^c   Fushimi, Kiyohide ^d   Noiri, Eisei ^a   Nangaku, Masaomi ^a   Doi, Kent ^a  

^a UNIVERSITY OF TOKYO HOSPITAL   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

^c NATIONAL HOSPITAL ORGANIZATION   (Japan)

^d TOKYO MEDICAL AND DENTAL UNIVERSITY   (Japan)

Author keywords

administrative claim database; end stage renal disease; intensive care units; renal replacement therapy

Indexed keywords

ADULT; AGE; AGED; ARTICLE; CLINICAL FEATURE; CLINICAL OUTCOME; COHORT ANALYSIS; CONTROLLED STUDY; DATA BASE; END STAGE RENAL DISEASE; FEMALE; GENDER; HOSPITAL ADMISSION; HOSPITAL CARE; HOSPITAL MORTALITY; HUMAN; INTENSIVE CARE; INTENSIVE CARE UNIT; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; PATIENT IDENTIFICATION; PRIORITY JOURNAL; RETROSPECTIVE STUDY; CHI SQUARE DISTRIBUTION; CHRONIC KIDNEY FAILURE; COMORBIDITY; COMPARATIVE STUDY; FACTUAL DATABASE; JAPAN; MORTALITY; MULTIVARIATE ANALYSIS; ODDS RATIO; RISK FACTOR; STATISTICAL MODEL; TIME FACTOR; TREATMENT OUTCOME; VERY ELDERLY;

AGED; AGED, 80 AND OVER; CHI-SQUARE DISTRIBUTION; COMORBIDITY; CRITICAL CARE; DATABASES, FACTUAL; FEMALE; HOSPITAL MORTALITY; HUMANS; INTENSIVE CARE UNITS; JAPAN; KIDNEY FAILURE, CHRONIC; LENGTH OF STAY; LOGISTIC MODELS; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; ODDS RATIO; PATIENT ADMISSION; RETROSPECTIVE STUDIES; RISK FACTORS; TIME FACTORS; TREATMENT OUTCOME;

EID: 85022079020     PISSN: 13205358     EISSN: 14401797     Source Type: Journal    
DOI: 10.1111/nep.12830     Document Type: Article

References (23)

1. Liyanage T, Ninomiya T, Jha V et al. Worldwide access to treatment for end-stage kidney disease: a systematic review. Lancet 2015; 385: 1975–82.
2. Goodkin DA, Young EW, Kurokawa K, Prutz KG, Levin NW. Mortality among hemodialysis patients in Europe, Japan, and the United States: case-mix effects. Am. J. Kidney Dis. 2004; 44 (5 Suppl 2): 16–21.
3. Hedayati SS, Szczech LA. The evaluation of underlying cardiovascular disease among patients with end-stage renal disease. Adv. Chronic Kidney Dis. 2004; 11: 246–53.
4. Covic A, Gusbeth-Tatomir P, Goldsmith DJ. The challenge of cardiovascular risk factors in end-stage renal disease. J. Nephrol. 2003; 16: 476–86.
5. Betjes MG, Meijers RW, Litjens NH. Loss of renal function causes premature aging of the immune system. Blood Purif. 2013; 36: 173–8.
6. Betjes MG. Immune cell dysfunction and inflammation in end-stage renal disease. Nat. Rev. Nephrol. 2013; 9: 255–65.
7. Sood MM, Miller L, Komenda P et al. Long-term outcomes of end-stage renal disease patients admitted to the ICU. Nephrol. Dial. Transplant. 2011; 26: 2965–70.
8. Hutchison CA, Crowe AV, Stevens PE, Harrison DA, Lipkin GW. Case mix, outcome and activity for patients admitted to intensive care units requiring chronic renal dialysis: a secondary analysis of the ICNARC Case Mix Programme Database. Crit. Care 2007; 11: R50.
9. Dara SI, Afessa B, Bajwa AA, Albright RC. Outcome of patients with end-stage renal disease admitted to the intensive care unit. Mayo Clin. Proc. 2004; 79: 1385–90.
10. Strijack B, Mojica J, Sood M et al. Outcomes of chronic dialysis patients admitted to the intensive care unit. J. Am. Soc. Nephrol. 2009; 20: 2441–7.
11. Arulkumaran N, Annear NM, Singer M. Patients with end-stage renal disease admitted to the intensive care unit: systematic review. Br. J. Anaesth. 2013; 110: 13–20.
12. Hamada T, Yasunaga H, Nakai Y et al. Continuous regional arterial infusion for acute pancreatitis: a propensity score analysis using a nationwide administrative database. Crit. Care 2013; 17: R214.
13. Tagami T, Matsui H, Fushimi K, Yasunaga H. Low-dose corticosteroid treatment and mortality in refractory abdominal septic shock after emergency laparotomy. Ann. Intensive Care 2015; 5: 32.
14. Iwagami M, Yasunaga H, Noiri E et al. Current state of continuous renal replacement therapy for acute kidney injury in Japanese intensive care units in 2011: analysis of a national administrative database. Nephrol. Dial. Transplant. 2015; 30: 988–95.
15. World Health Organization. International Classification of Diseases (ICD)-10, 2003 Version. 2nd edn. 2003. [Cited 1 March 2016] Available from URL: http://apps.who.int/classifications/apps/icd/icd10online2003/fr-icd.htm.
16. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J. Chronic Dis. 1987; 40: 373–83.
17. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J. Clin. Epidemiol. 1992; 45: 613–19.
18. Lee K, Hong SB, Lim CM, Koh Y. Sequential organ failure assessment score and comorbidity: valuable prognostic indicators in chronically critically ill patients. Anaesth. Intensive Care 2008; 36: 528–34.
19. Ladha KS, Zhao K, Quraishi SA et al. The Deyo-Charlson and Elixhauser-van Walraven Comorbidity Indices as predictors of mortality in critically ill patients. BMJ Open. 2015; 5: e008990.
20. Chae JW, Song CS, Kim H, Lee KB, Seo BS, Kim DI. Prediction of mortality in patients undergoing maintenance hemodialysis by Charlson Comorbidity Index using ICD-10 database. Nephron Clin. Pract. 2011; 117: c379–84.
21. van Manen JG, Korevaar JC, Dekker FW, Boeschoten EW, Bossuyt PM, Krediet RT. How to adjust for comorbidity in survival studies in ESRD patients: a comparison of different indices. Am. J. Kidney Dis. 2002; 40: 82–9.
22. Masakane I, Nakai S, Ogata S et al. An Overview of Regular Dialysis Treatment in Japan (As of 31 December 2013). Ther. Apher. Dial. 2015; 19: 540–74.
23. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit. Care Med. 1985; 13: 818–29.