The initial development and assessment of an automatic alert warning of acute kidney injury

Nephrology Dialysis Transplantation

Volumn 26, Issue 7, 2011, Pages 2161-2168

  Thomas, Mark ^a   Sitch, Alice ^b   Dowswell, George ^b  

^a BIRMINGHAM HEARTLANDS HOSPITAL   (United Kingdom)

^b UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

acute kidney injury; clinical laboratory information systems; creatinine; diagnosis; prognostic index

Indexed keywords

ALBUMIN; C REACTIVE PROTEIN; CREATININE;

ACUTE KIDNEY FAILURE; ADOLESCENT; ADULT; AGE DISTRIBUTION; AGED; ALBUMIN BLOOD LEVEL; ARTICLE; AUTOMATIC ALERT WARNING; BIOMEDICAL TECHNOLOGY ASSESSMENT; CLINICAL TRIAL; COHORT ANALYSIS; COMORBIDITY; CREATININE BLOOD LEVEL; EARLY INTERVENTION; FEMALE; FOLLOW UP; GLOMERULUS FILTRATION RATE; HEMATOLOGIC MALIGNANCY; HIGH RISK POPULATION; HOSPITAL INFORMATION SYSTEM; HOSPITAL PATIENT; HUMAN; KIDNEY FUNCTION; MAJOR CLINICAL STUDY; MALE; METASTASIS; MORTALITY; NURSING HOME; OBSERVATIONAL STUDY; PATIENT MONITORING; PRIORITY JOURNAL; PROGNOSIS; PROSPECTIVE STUDY; PROTEIN BLOOD LEVEL; RENAL REPLACEMENT THERAPY; RESIDENTIAL HOME; SURVIVAL RATE;

ACUTE KIDNEY INJURY; ADOLESCENT; ADULT; AGED; AUTOMATION; C-REACTIVE PROTEIN; CREATININE; FEMALE; GLOMERULAR FILTRATION RATE; HOSPITAL MORTALITY; HUMANS; MALE; MIDDLE AGED; PROSPECTIVE STUDIES; SEVERITY OF ILLNESS INDEX; SURVIVAL RATE; TIME FACTORS; YOUNG ADULT;

EID: 79959958178     PISSN: 09310509     EISSN: 14602385     Source Type: Journal    
DOI: 10.1093/ndt/gfq710     Document Type: Article

References (42)

1. Nash K, Hafeez A, Hou S. Hospital-acquired renal insufficiency. Am J Kidney Dis 2002; 39: 930-936. (Pubitemid 34454211)
2. Chertow GM, Burdick E, Honour M et al. Acute kidney injury, mortality, length of stay, and costs in hospitalized patients. J Am Soc Nephrol 2005; 16: 3365-3370. (Pubitemid 46179340)
3. Uchino S, Bellomo R, Goldsmith D et al. An assessment of the RIFLE criteria for acute renal failure in hospitalized patients. Crit Care Med 2006; 34: 1913-1917. (Pubitemid 43982467)
4. Stevens PE, Tamimi NA, Al-Hasani MK et al. Non-specialist management of acute renal failure. QJM 2001; 94: 533-540. (Pubitemid 32998344)
5. Mehta RL, McDonald B, Gabbai F et al. Nephrology consultation in acute renal failure: does timing matter? Am J Med 2002; 113: 456-461. (Pubitemid 35335796)
6. Stewart J, Findlay G, Smith N et al. Adding Insult to Injury. A review of the care of patients who died in hospital with a primary diagnosis of acute kidney injury (acute renal failure). National Confidential Enquiry into Patient Outcome and Death. London: NCEPOD, 2009; 1-100.
7. Khan IH, Catto GR, Edward N et al. Acute renal failure: factors influencing nephrology referral and outcome. QJM 1997; 90: 781-785. (Pubitemid 28008951)
8. Star RA. Treatment of acute renal failure. Kidney Int 1998; 54: 1817-1831. (Pubitemid 28533609)
9. Colpaert K, Hoste E, Van Hoecke S et al. Implementation of a realtime electronic alert based on the RIFLE criteria for acute kidney injury in ICU patients. Acta Clin Belg Suppl 2007; 322-325.
10. Rind DM, Safran C, Phillips RS et al. Effect of computer-based alerts on the treatment and outcomes of hospitalized patients. Arch Intern Med 1994; 154: 1511-1517. (Pubitemid 24208577)
11. Ali T, Khan I, Simpson W et al. Incidence and outcomes in acute kidney injury: a comprehensive population-based study. J Am Soc Nephrol 2007; 18: 1292-1298. (Pubitemid 46536915)
12. Bellomo R, Ronco C, Kellum JA et al. Acute renal failure -definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group. Crit Care 2004; 8: R204-R212.
13. Mehta RL, Kellum JA, Shah SVet al. Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury. Crit Care 2007; 11: R31.
14. Communities and Local Government. Indices of Deprivation 2007. http://www.communities.gov.uk/communities/neighbourhoodrenewal/deprivation/ deprivation07/(5 May 2010, date last accessed).
15. Charlson ME, Pompei P, Ales KL et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987; 40: 373-383. (Pubitemid 17055592)
16. Bradburn MJ, Clark TG, Love SB et al. Survival analysis part III: multivariate data analysis -choosing a model and assessing its adequacy and fit. Br J Cancer 2003; 89: 605-611. (Pubitemid 37076159)
17. Bradburn MJ, Clark TG, Love SB et al. Survival analysis part II: multivariate data analysis -an introduction to concepts and methods. Br J Cancer 2003; 89: 431-436. (Pubitemid 37026422)
18. Collett D. Modelling Survival Data in Medical Research. Boca Raton, Florida: Chapman & Hall/CRC, 2003; 1-408.
19. Kojo S, Sada KE, Kobayashi M et al. Clinical usefulness of a prognostic score in histological analysis of renal biopsy in patients with lupus nephritis. J Rheumatol 2009; 36: 2218-2223.
20. Carroll KJ. On the use and utility of the Weibull model in the analysis of survival data. Control Clin Trials 2003; 24: 682-701. (Pubitemid 37518386)
21. Liano F, Junco E, Pascual J et al. The spectrum of acute renal failure in the intensive care unit compared with that seen in other settings. The Madrid Acute Renal Failure Study Group. Kidney Int Suppl 1998; 66: S16-S24.
22. Lassnigg A, Schmidlin D, Mouhieddine M et al. Minimal changes of serum creatinine predict prognosis in patients after cardiothoracic surgery: a prospective cohort study. J Am Soc Nephrol 2004; 15: 1597-1605. (Pubitemid 38679685)
23. Levy MM, Macias WL, Vincent JL et al. Early changes in organ function predict eventual survival in severe sepsis. Crit Care Med 2005; 33: 2194-2201.
24. Bagshaw SM, Uchino S, Cruz D et al. A comparison of observed versus estimated baseline creatinine for determination of RIFLE class in patients with acute kidney injury. Nephrol Dial Transplant 2009; 24: 2739-2744.
25. Siew ED, Matheny ME, Ikizler TA et al. Commonly used surrogates for baseline renal function affect the classification and prognosis of acute kidney injury. Kidney Int 2010; 77: 536-542.
26. Loef BG, Epema AH, Smilde TD et al. Immediate postoperative renal function deterioration in cardiac surgical patients predicts in-hospital mortality and long-term survival. J Am Soc Nephrol 2005; 16: 195-200. (Pubitemid 43073173)
27. Beddhu S, Bruns FJ, Saul M et al. A simple comorbidity scale predicts clinical outcomes and costs in dialysis patients. Am J Med 2000; 108: 609-613. (Pubitemid 30336599)
28. Fried L, Bernardini J, Piraino B. Charlson comorbidity index as a predictor of outcomes in incident peritoneal dialysis patients. Am J Kidney Dis 2001; 37: 337-342. (Pubitemid 32116026)
29. van Manen JG, Korevaar JC, Dekker FW et al. How to adjust for comorbidity in survival studies in ESRD patients: a comparison of different indices. Am J Kidney Dis 2002; 40: 82-89. (Pubitemid 34701215)
30. Soares M, Salluh JI, Carvalho MS et al. Prognosis of critically ill patients with cancer and acute renal dysfunction. J Clin Oncol 2006; 24: 4003-4010. (Pubitemid 46630751)
31. Benoit DD, Hoste EA, Depuydt PO et al. Outcome in critically ill medical patients treated with renal replacement therapy for acute renal failure: comparison between patients with and those without haematological malignancies. Nephrol Dial Transplant 2005; 20: 552-558. (Pubitemid 40378424)
32. Harris KP, Hattersley JM, Feehally J et al. Acute renal failure associated with haematological malignancies: a review of 10 years experience. Eur J Haematol 1991; 47: 119-122.
33. Kelly KJ. Distant effects of experimental renal ischemia/reperfusion injury. J Am Soc Nephrol 2003; 14: 1549-1558. (Pubitemid 36687056)
34. Obialo CI, Okonofua EC, Nzerue MC et al. Role of hypoalbuminemia and hypocholesterolemia as copredictors of mortality in acute renal failure. Kidney Int 1999; 56: 1058-1063. (Pubitemid 29411733)
35. Chertow GM, Lazarus JM, Paganini EP et al. Predictors of mortality and the provision of dialysis in patients with acute tubular necrosis. The Auriculin Anaritide Acute Renal Failure Study Group. J Am Soc Nephrol 1998; 9: 692-698. (Pubitemid 28186059)
36. Fiaccadori E, Lombardi M, Leonardi S et al. Prevalence and clinical outcome associated with preexisting malnutrition in acute renal failure: a prospective cohort study. J Am Soc Nephrol 1999; 10: 581-593. (Pubitemid 29117640)
37. Chertow GM, Soroko SH, Paganini EP et al. Mortality after acute renal failure: models for prognostic stratification and risk adjustment. Kidney Int 2006; 70: 1120-1126. (Pubitemid 44344083)
38. Liano F, Gallego A, Pascual J et al. Prognosis of acute tubular necrosis: an extended prospectively contrasted study. Nephron 1993; 63: 21-31. (Pubitemid 23008154)
39. Paganini EP, Halstenberg WK, Goormastic M. Risk modeling in acute renal failure requiring dialysis: the introduction of a new model. Clin Nephrol 1996; 46: 206-211. (Pubitemid 26306532)
40. Lins RL, Elseviers MM, Daelemans R et al. Re-evaluation and modification of the Stuivenberg Hospital Acute Renal Failure (SHARF) scoring system for the prognosis of acute renal failure: an independent multicentre, prospective study. Nephrol Dial Transplant 2004; 19: 2282-2288. (Pubitemid 39214122)
41. Parikh CR, Garg AX. Testing new biomarkers for acute kidney injury: association, prediction, and intervention. Am J Kidney Dis 2009; 54: 987-989.
42. Siew ED, Ware LB, Gebretsadik T et al. Urine neutrophil gelatinaseassociated lipocalin moderately predicts acute kidney injury in critically ill adults. J Am Soc Nephrol 2009; 20: 1823-1832