title: Prediction equation estimates of creatinine clearance in the intensive care unit.
abstract: OBJECTIVE
  To assess the accuracy of 4 mathematical equations used to estimate creatinine clearance versus the 24-h creatinine clearance in ICU patients.
  
  
  METHODS
  Prospective study of renal function prediction.
  
  
  METHODS
  The general adult ICUs of 3 metropolitan hospitals.
  
  
  METHODS
  199 critically ill patients with indwelling foley catheters.
  
  
  METHODS
  Routine 24 h creatinine clearances were evaluated only in patients whose urine volume recorded by the nurses was within 10% of the laboratory's measured volume. Four mathematical equations utilizing age, sex, body weight, height, and plasma creatinine were used as a comparison. There was no difference in estimated creatinine clearance by 3 published methods when the 24 h creatinine clearance exceeded 100 ml/min. When the 24 h creatinine clearance was less than 100 ml/min, however, one prediction equation adjusted for lean body weight (LBW), was the most accurate. This equation accurately predicted creatinine clearance in the range of 30-100 ml/min and slightly overestimated creatinine clearance at 0-30 ml/min (p < 0.01, ANOVA all groups, p < 0.05 Fisher and Scheffé post-hoc tests) with a mean difference +/- 95% confidence interval of -5 +/- 3.1 ml/min.
  
  
  CONCLUSIONS
  An initial rapid estimate of creatinine clearance in critically ill ICU patients with reduced renal function can be determined by an equation adjusted for LBW.
authors.affiliation: Department of Anesthesiology and Critical Care Medicine, Albert Einstein University at Montefiore Hospital, Bronx, NY.
authors.forename: G R
authors.initials: GR
authors.lastname: Pesola
authors.forename: I
authors.initials: I
authors.lastname: Akhavan
authors.forename: A
authors.initials: A
authors.lastname: Madu
authors.forename: N K
authors.initials: NK
authors.lastname: Shah
authors.forename: G C
authors.initials: GC
authors.lastname: Carlon
mesh_terms: D000367:Age Factors; D000368:Aged; D000704:Analysis of Variance; D016001:Confidence Intervals; D003404:Creatinine / Q000032:analysis*; D005260:Female; D006801:Humans; D007677:Kidney Function Tests / Q000379:methods*; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011446:Prospective Studies; D012044:Regression Analysis; D012737:Sex Factors
chemical_list: D003404:Creatinine