title: [Preparation and clinical application of an intelligent determination and analysis system for glomerular filtration rate].
abstract: OBJECTIVE
  To prepare an intelligent determination and analysis system for renal glomerular filtration rate(GFRBMAS), and to explore its value in clinical setting.
  
  
  METHODS
  GFRBMAS was prepared by programming with VB 6.0 software. GFR of 79 inpatients suffering from the different diseases was determined accurately by using clearance rate of (99)Tc(m)-diethylene triamine pentaacetic acid (DTPA) (Tc-GFR). The serum creatinine (SCr), blood urea nitrogen (BUN), serum uric acid (Uric), serum calcium (Ca) and serum phosphorus (P) were determined with both GFRBMAS and 7170S automatic biochemistry determination apparatus (ititachi), and the result of GFR was compared with that determined by using GFRBMAS and 7170S automatic biochemical determination apparatus. At the same time GFR was determined by using Robert formula (GFRBMAS-GFR, Robert-GFR), and creatinine clearance rate was calculated with Cockcroft/Gault formula (CG-CCr). All the results were compared and analyzed.
  
  
  RESULTS
  No significant difference of SCr, BUN, Uric, Ca and P values determined by two methods. Robert-GFR and CG-CCr values were significantly lower than Tc-GFR value in the normal renal function group and the renal insufficiency group (P<0.01) and that of GFRBMAS-GFR was close to that of Tc-GFR and relative analysis showed that the values of GFRBMAS-GFR, Robert-GFR, CG-CCr showed significantly positive correlation with that of Tc-GFR, but negative correlation with values of SCr and BUN (P<0.05 or P<0.01).
  
  
  CONCLUSIONS
  GFRBMAS-GFR, Robert-GFR and CG-CCr could all reflect GFR with accuracy to certain extent and GFRBMAS-GFR can take the place of Tc-GFR in clinical setting.
authors.affiliation: Department of Nephrology of The Second People's Hospital of Guangdong Province, Guangzhou 510317, Guangdong, China.
authors.forename: Xi-Xin
authors.initials: XX
authors.lastname: Wu
authors.forename: Min
authors.initials: M
authors.lastname: Qu
authors.forename: Min-Jian
authors.initials: MJ
authors.lastname: Feng
authors.forename: Jun
authors.initials: J
authors.lastname: Shi
authors.forename: Jiang-Lin
authors.initials: JL
authors.lastname: Chen
authors.forename: Jian
authors.initials: J
authors.lastname: Peng
authors.forename: Yi-Wu
authors.initials: YW
authors.lastname: Wu
authors.forename: Zhi-Xiong
authors.initials: ZX
authors.lastname: Zheng
mesh_terms: D000328:Adult; D000368:Aged; D003936:Diagnosis, Computer-Assisted; D005260:Female; D005919:Glomerular Filtration Rate; D006801:Humans; D008297:Male; D008875:Middle Aged; D055815:Young Adult