Literature DB >> 1903797

Outcome prediction of acute renal failure in medical intensive care.

J H Schaefer1, F Jochimsen, F Keller, K Wegscheider, A Distler.   

Abstract

Data acquired prospectively from 134 patients with acute renal failure requiring dialysis in a medical intensive care unit (ICU) were analysed in order to derive indicators predicting ICU-survival. Mortality in the ICU was 56.7%. Linear discriminant analysis correctly predicted outcome in 79.9% at the start of dialysis, and 84.7% at 48 h after the first dialysis. The most important predictive variables were mechanical ventilation and low blood pressure. On the other hand, the total correct classification rates achieved by a standardised system for scoring ICU-patients (APACHE II) did not exceed 58.2%. It is concluded that outcome prediction by APACHE II and even by the discriminant functions is too inaccurate to become the basis for clinical decisions either concerning the initiation or the continuation of dialysis treatment in ARF.

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Year:  1991        PMID: 1903797     DOI: 10.1007/bf01708404

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  19 in total

1.  Easy and early prognosis in acute tubular necrosis: a forward analysis of 228 cases.

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Journal:  Nephron       Date:  1989       Impact factor: 2.847

2.  Predicting outcome among intensive care unit patients using computerised trend analysis of daily Apache II scores corrected for organ system failure.

Authors:  R W Chang; S Jacobs; B Lee
Journal:  Intensive Care Med       Date:  1988       Impact factor: 17.440

3.  Prediction of outcome in acute renal failure by discriminant analysis of clinical variables.

Authors:  H H Rasmussen; E A Pitt; L S Ibels; D R McNeil
Journal:  Arch Intern Med       Date:  1985-11

4.  Risk factors influencing survival in acute renal failure treated by hemodialysis.

Authors:  J Lien; V Chan
Journal:  Arch Intern Med       Date:  1985-11

5.  Survial from acute renal failure with and without multiple organ dysfunction.

Authors:  G S Routh; J D Briggs; J G Mone; I M Ledingham
Journal:  Postgrad Med J       Date:  1980-04       Impact factor: 2.401

6.  Evaluation of sepsis in a critically ill surgical population.

Authors:  D A Jordan; C F Miller; K L Kubos; M C Rogers
Journal:  Crit Care Med       Date:  1987-10       Impact factor: 7.598

7.  High risk acute renal failure.

Authors:  D C Wheeler; J Feehally; J Walls
Journal:  Q J Med       Date:  1986-10

8.  Acquired renal insufficiency in critically ill patients.

Authors:  P I Menashe; S A Ross; J E Gottlieb
Journal:  Crit Care Med       Date:  1988-11       Impact factor: 7.598

9.  Acute hemodialysis in the surgical intensive care unit.

Authors:  L Mukau; R G Latimer
Journal:  Am Surg       Date:  1988-09       Impact factor: 0.688

10.  Prediction of outcome in acute renal failure.

Authors:  H L Corwin; R S Teplick; M J Schreiber; L S Fang; J V Bonventre; C H Coggins
Journal:  Am J Nephrol       Date:  1987       Impact factor: 3.754

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  17 in total

1.  Acute renal failure in the ICU in the 1990s--"anything goes"?

Authors:  P Nair; D Bihari
Journal:  Intensive Care Med       Date:  1997-12       Impact factor: 17.440

2.  Epidemiology of acute renal failure and outcome of haemodiafiltration in intensive care.

Authors:  B Schwilk; H Wiedeck; B Stein; H Reinelt; H Treiber; U Bothner
Journal:  Intensive Care Med       Date:  1997-12       Impact factor: 17.440

Review 3.  Defining and classifying acute renal failure: from advocacy to consensus and validation of the RIFLE criteria.

Authors:  Rinaldo Bellomo; John A Kellum; Claudio Ronco
Journal:  Intensive Care Med       Date:  2006-12-13       Impact factor: 17.440

4.  Angiopoietin-2 in patients requiring renal replacement therapy in the ICU: relation to acute kidney injury, multiple organ dysfunction syndrome and outcome.

Authors:  Philipp Kümpers; Carsten Hafer; Sascha David; Hartmut Hecker; Alexander Lukasz; Danilo Fliser; Hermann Haller; Jan T Kielstein; Robert Faulhaber-Walter
Journal:  Intensive Care Med       Date:  2009-12-03       Impact factor: 17.440

5.  Continuous veno-venous haemofiltration following cardio-pulmonary bypass. Indications and outcome in 35 patients.

Authors:  S V Baudouin; J Wiggins; B F Keogh; C J Morgan; T W Evans
Journal:  Intensive Care Med       Date:  1993       Impact factor: 17.440

6.  Prognosis for children with acute kidney injury in the intensive care unit.

Authors:  Nilzete Bresolin; Carlos Silva; Ana Halllal; Julio Toporovski; Vera Fernandes; Jose Góes; Francisca Ligia Carvalho
Journal:  Pediatr Nephrol       Date:  2008-12-03       Impact factor: 3.714

7.  Serum neutrophil gelatinase-associated lipocalin at inception of renal replacement therapy predicts survival in critically ill patients with acute kidney injury.

Authors:  Philipp Kümpers; Carsten Hafer; Alexander Lukasz; Ralf Lichtinghagen; Korbinian Brand; Danilo Fliser; Robert Faulhaber-Walter; Jan T Kielstein
Journal:  Crit Care       Date:  2010-02-01       Impact factor: 9.097

8.  Comparison between early and delayed acute kidney injury secondary to infectious disease in the intensive care unit.

Authors:  Rafael S A Lima; Cristina N Marques; Geraldo B Silva Júnior; Aline S Barbosa; Eveline S Barbosa; Rosa M S Mota; Sônia M H A Araújo; Oswaldo A Gutiérrez-Adrianzén; Alexandre B Libório; Elizabeth F Daher
Journal:  Int Urol Nephrol       Date:  2008-03-27       Impact factor: 2.370

9.  Continuous venovenous haemofiltration in cancer patients with renal failure: a single-centre experience.

Authors:  T Berghmans; A P Meert; E Markiewicz; J P Sculier
Journal:  Support Care Cancer       Date:  2004-01-28       Impact factor: 3.603

10.  Case mix, outcome and activity for patients with severe acute kidney injury during the first 24 hours after admission to an adult, general critical care unit: application of predictive models from a secondary analysis of the ICNARC Case Mix Programme database.

Authors:  Nitin V Kolhe; Paul E Stevens; Alex V Crowe; Graham W Lipkin; David A Harrison
Journal:  Crit Care       Date:  2008-10-13       Impact factor: 9.097

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