Determination and modelling of clinical laboratory data of healthy individuals and patients with end-stage renal failure

Central European Journal of Medicine

Volumn 4, Issue 1, 2009, Pages 37-48

  Papaioannou, Agelos ^a   Karamanis, George ^b   Rigas, Ioannis ^a   Spanos, Thomas ^c   Roupa, Zoe ^a  

^a TECHNOLOGICAL EDUCATIONAL INSTITUTE OF LARISSA   (Greece)

^b General Hospital of Kavala   (Greece)

^c TECHNOLOGICAL EDUCATIONAL INSTITUTE OF KAVALA   (Greece)

Author keywords

Biochemical parameters; Cluster analysis; End stage renal failure patients; Factor analysis; Healthy individuals

Indexed keywords

ALANINE AMINOTRANSFERASE; ALBUMIN; ALKALINE PHOSPHATASE; ASPARTATE AMINOTRANSFERASE; ASPARTIC ACID; BIOCHEMICAL MARKER; CALCIUM; CHLORIDE; CHOLESTEROL; CREATININE; GAMMA GLUTAMYLTRANSFERASE; GLUCOSE; IRON; NITROGEN; PHOSPHATASE; PHOSPHORUS; POTASSIUM; PROTEIN; SODIUM; TRIACYLGLYCEROL; UREA; URIC ACID;

ARTICLE; CLINICAL ASSESSMENT; CLINICAL LABORATORY; CLUSTER ANALYSIS; CONTROLLED STUDY; FACTORIAL ANALYSIS; FEMALE; HUMAN; KIDNEY FAILURE; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; PROBABILITY; VALIDITY; VARIANCE;

EID: 60349089546     PISSN: 18951058     EISSN: 16443640     Source Type: Journal    
DOI: 10.2478/s11536-008-0085-z     Document Type: Article

References (41)

1. M.V. Martin S. Barroso O. Herraez F. De Sande F. Caravaca 2006 Cystatin C as a renal function estimator in advanced chronic renal failure stages Nefrologia 26 433 438
2. C. White A. Akbari N. Hussain L. Dinh G. Filler N. Lepage 2005 Estimating Glomerular Filtration Rate in Kidney Transplantation: A Comparison between Serum Creatinine and Cystatin C-Based Methods J. Am. Soc. Nephro.l 16 3763 3770
3. Soveri I., Renal Dysfunction and Cardiovascular Disease, Acta Universitatis Upsaliensis, Uppsala, 2006
4. M. Zappitelli L. Joseph I.R. Gupta L. Bell G. Paradis 2007 Validation of child serum creatinine-based prediction equations for glomerular filtration rate Pediatr. Nephrol. 22 272 281
5. M.A. Tabak P.C. Christenson R.N. Fine 1986 Prediction of the Progression of Chronic Renal Failure in Children: Are Current Models Accurate? Pediatrics 6 1007 1012
6. M. Walser H.H. Drew J.L. Guldan 1993 Prediction of glomerular filtration rate from serum creatinine concentration in advanced chronic renal failure Kidney Int. 44 1145 1148
7. Y. Kuan M. Hossain J. Surman M. El Nahas J. Haylor 2005 GRF prediction using the NDRD and Cockroft and Gault equations in patients with end-stage renal disease Nephrol. Dial. Transplant. 20 2394 2401
8. N. Fontsere J. Bonal M. Navarro J. Riba M. Fraile F. Torres R. Romero 2006 A comparison of prediction equations for estimating glomerular filtration rate in adult patients with chronic kidney disease stages 4-5 Nephron Clin. Pract. 104 c160 c168
9. A. Grubb U. Numan J. Bjork V. Lindstrom B. Rippe G. Sterner A. Christensson 2005 Simple cystatin C-based prediction equation for glomerular filtration rate compared with the modification of diet in renal disease prediction equation for adults and the Schwartz and the Counahan-Barratt prediction equations for children Clin. Chem. 51 1420 1431
10. Johnston N., Low-Density Lipoprotein Oxidation and Renal Dysfunction, Acta Universitatis Upsaliensis, Uppsala, 2006
11. P. Rossing 2006 Prediction, progression and prevention of diabetic nephropathy. The Minkowski Lecture 2005 Diabetologia 49 11 19
12. C. Zoccali F. Mallamaci G. Tripepi S. Parlongo S. Cutrupi F.A. Benedetto 2002 Norepinephrine and concentric hypertrophy in patients with end-stage renal disease Hypertension 40 41 46
13. P. Forestieri A. Formato V. Pilone A. Romano A. Monda 2008 Rhabdomyolysis after gastrectomy: increase in muscle enzymes does not predict fatel outcome Obes. Surg. 18 349 351
14. M. Svensson G. Sundkvist H.J. Arnqvist E. Bjork G. Blohme J. Bolinder 2003 Signs of nephropathy may occur early in young adults with diabetes despite modern diabetes management Diabetes Care 26 2903 2909
15. P. Dyachenko A. Monselise A. Shustak M. Ziv D. Rozenman 2007 Nail disorders in patients with chronic renal failure and undergoing haemodialysis treatment: a case-control study J. Eur. Acad. Dermatol. Venereol. 21 340 344
16. M.J. Srnak A.S. Levey A.C. Schoolwerth J. Coresh B. Culleton 2003 Kidney disease as a risk factor for development of cardiovascular disease Circulation 108 2154 2169
17. J. Malyszko J.S. Malyszko K. Pawlak M. Mysliwiec 2006 Hepcidin, iron status, and renal function in chronic renal failure, kidney transplantation, and hemodialysis Am. J. Hematol. 81 832 837
18. K. Iseki H. Uehara K. Nishime K. Tokuyama K. Yoshihara 1996 Impact of the initial levels of laboratory variables on survival in chronic dialysis patients Am. J. Kidney Dis. 4 541 548
19. C.C. Geddes C.W. Van Dijk S. McArthur W. Metcalfe K. Jager 2006 The ERA-EDTA cohortcomparison of methods to predict survival on renal replacement therapy Nephrol. Dial. Transplant. 21 945 956
20. A. Akgul A. Bilgic A. Ibis F.N. Ozdemir Z. Arat M. Haberal 2007 Is uric acid a predictive factor for Graft dysfunction in renal transplant recipients? Transplantation Proceedings 39 1023 1026
21. Musso C., Liakopoulos V., De Miguel R., Imperiali N., Algranati L., Transtubular potassium concentration gradient: comparison between healthy old people and chronic renal failure patients, Int. Urol. Nephrol., 2006, 38, 387-390
22. D.T. Gilbertson J. Liu J.L. Xue T.A. Louis C.A. Solid J.P. Ebben 2005 Projecting the number of patients with end-stage renal disease in the United States to the year 2015 J. Am. Soc. Nephrol. 16 3736 3741
23. M.A. Perazella S. Khan 2006 Increased mortality in chronic kidney disease: a call to action Am. J. Med. Sci. 331 150 153
24. M.J. Sarnak A.S. Levey A.C. Schoolwerth J. Coresh B. Culleton 2003 Kidney disease as a risk factor for development of cardiovascular disease Circulation 108 2154 69
25. Tonelli M., Wiebe N., Culleton B., House A., Rabbat C., Fok M., et al., Chronic kidney disease and mortality risk: a systematic review, J, Am. Soc. Nephrol., 2006, 17, 2034-47
26. A. Papaioannou V. Simeonov P. Plageras E. Dovriki T. Spanos 2007 Multivariate statistical interpretation of laboratory clinical data Central European J. Med. 3 319 334
27. Slockbower JM., Blumenfeld TA. (ed), Collection and handling of Laboratory Speciments, Philadelphic: Lippincott Co, 201, 1983
28. NCCLS: "Procedures for the Collection of Diagnostic Blood Specimens by Venipuncture", NCCLS, Document H3-A3 Wayne, PA: NCCLS, 1991
29. NCCLS: "Procedures for the Collection of Diagnostic Blood Specimens by Skin Puncture", NCCLS Document H4-A3 Wayne, PA: NCCLS, 1991
30. NCCLS: "Internal Quality Control Testing: Principles and Definitions", NCCLS, Document C24-A Wayne, PA: NCCLS, 1991
31. M.T. Kafka 1988 Internal quality control, proficiency testing and the clinical relevance of laboratory testing Arch. Pathol. Lab. Med. 112 449 53
32. S. Deming 1986 Chemometrics: an Overview Clin. Chem. 32 1702 1706
33. Vogt W., Nagel D., Cluster Analysis in Diagnosis, Clin. Chem., 1992, 38, 182-198
34. Vanderginste B., Massart DL., Buydens L., De Jong S., Lewi P., Smeyers-Verbeke J., Handbook of Chemometrics and Qualimetrics, Elsevier, Amsterdam, 1998
35. Massart D.L,. Kaufman L., The Interpretation of analytical chemical data by the Use of Cluster Analysis, J. Wiley, New York, 1983
36. P. Winkel 1973 Patterns and Clusters-Multivariate Approach for Interpreting Clinical Chemistry Results Clin. Chem. 19 1329 1338
37. R. Grams D. Lezotte J. Gudat 1978 Establishing a Multivariate Clinical Laboratory Data Base J. Med. Sys. 2 355 362
38. H. Nguyen J. Altinger V. Carrieri-Kohlman J. Gormley S. Paul M. Stulbarg 2003 Factor Analysis of Laboratory and Clinical Measurements of Dyspnea in Patients with Chronic Obstructive Pulmonary Disease Journal of Pain and Symptom Management 25 118 127
39. G. Plomteux 1980 Multivariate Analysis of an Enzymic Profile for the Differential Diagnosis of Viral Hepatitis Clin. Chem. 26 1897 1899
40. J. Poupard B. Gagnon M. Stanhope C. Stewart 2002 Methods for Data Mining from Large multinational Surveillance Studies Antimicrobial Agents and Chemotherapy 46 2409 2419
41. C.C. Chang C.S. Cheng 2007 A structural design of clinical decision support system for chronic diseases risk management Central European J. Med. 2 129 139