Mathematical Coupling and the Association Between Kt / V and PCR n
1999; Wiley; Volume: 12; Issue: 1 Linguagem: Inglês
10.1046/j.1525-139x.1999.90204.x
ISSN1525-139X
AutoresTom Greene, Thomas A. Depner, John T. Daugirdas,
Tópico(s)Folate and B Vitamins Research
ResumoSeminars in DialysisVolume 12, Issue 1 p. S‐20-S‐28 Mathematical Coupling and the Association Between Kt/V and PCRn Tom Greene, Tom Greene Department of Biostatistics and Epidemiology, Cleveland Clinic Foundation, Cleveland, OhioSearch for more papers by this authorThomas A. Depner, Thomas A. Depner Department of Medicine, University of Illinois College of Medicine at Chicago and Veterans Affairs Chicago Healthcare System, Westside Division, Chicago, IllinoisSearch for more papers by this authorJohn T. Daugirdas, John T. Daugirdas Department of Medicine, University of California at Davis, Sacramento, CaliforniaSearch for more papers by this author Tom Greene, Tom Greene Department of Biostatistics and Epidemiology, Cleveland Clinic Foundation, Cleveland, OhioSearch for more papers by this authorThomas A. Depner, Thomas A. Depner Department of Medicine, University of Illinois College of Medicine at Chicago and Veterans Affairs Chicago Healthcare System, Westside Division, Chicago, IllinoisSearch for more papers by this authorJohn T. Daugirdas, John T. Daugirdas Department of Medicine, University of California at Davis, Sacramento, CaliforniaSearch for more papers by this author First published: 20 June 2002 https://doi.org/10.1046/j.1525-139X.1999.90204.xCitations: 1 Tom Green PhD Cleveland Clinic Foundation, Biostatistics and Epidemiology Wb4, 9500 Euclid Ave., Cleveland, OH 44195. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat References 1 Gotch FA & Sargent JA: A mechanistic analysis of the National Cooperative Dialysis Study (NCDS). Kidney Int 28: 526 534, 1985 10.1038/ki.1985.160 PubMedWeb of Science®Google Scholar 2 Laird NM, Berkey CS, Lowrie EG: Modeling success or failure on dialysis therapy. The National Cooperative Dialysis Study. Kidney Int 23 (Suppl 13): S101 S106, 1983 Google Scholar 3 Lindsay RM & Spanner E: A hypothesis: the protein catabolic rate is dependent on the type and amount of treatment in dialyzed uremic patients. Am J Kidney Dis 13: 382 389, 1989 10.1016/S0272-6386(89)80021-6 CASPubMedWeb of Science®Google Scholar 4 Lindsay RM, Spanner E, Heidenheim P, LeFebvre JM, Hodsman A, Baird J, Allison ME: Which comes first, Kt/V or PCR — Chicken or egg? Kidney Int 42(Suppl 38): S32 S36, 1992 Web of Science®Google Scholar 5 Lysaght MJ, Pollock CA, Hallet MD, Ibels LS, Farrell PC: The relevance of urea kinetic modeling to CAPD. ASAIO Trans 35: 784 790, 1989 CASPubMedGoogle Scholar 6 Blake PG, Sombolos K, Abraham G, et al.: Lack of correlation between urea kinetic indices and clinical outcomes in CAPD patients. Kidney Int 39: 700 706, 1991 10.1038/ki.1991.84 PubMedWeb of Science®Google Scholar 7 Hakim RM, Breyer J, Nuhad I, Schulman G: Effect of dialysis dose on morbidity and mortality. Am J Kidney Dis 23: 661 696, 1994 10.1016/S0272-6386(12)70276-7 PubMedWeb of Science®Google Scholar 8 Stein A & Walls J: The correlation between Kt/V and protein catabolic rate—a self-fulfilling prophecy. Nephrol Dial Transplant 9: 743 745, 1994 CASPubMedWeb of Science®Google Scholar 9 Harty J, Faragher B, Venning M, Gokal R: Urea kinetic modeling exaggerates the relationship between nutrition and dialysis in CAPD patients (The hazards of cross-sectional analysis). Perit Dial Int 15: 105 109, 1995 CASPubMedWeb of Science®Google Scholar 10 Harty J, Boulton H, Faragher B, Venning M, Gokal R: The influence of small solute clearance on dietary protein intake in continuous ambulatory peritoneal dialysis patients: a methodologic analysis based on cross-sectional and prospective studies. Am J Kidney Dis 28: 553 560, 1996 10.1016/S0272-6386(96)90467-9 CASPubMedWeb of Science®Google Scholar 11 Uehlinger DE: Another look at the relationship between protein intake and dialysis dose. J Am Soc Nephrol 7: 166 168, 1996 CASPubMedWeb of Science®Google Scholar 12 Lowrie EG: Thoughts about judging dialysis treatment: mathematics and measurements, mirrors in the mind. Semin Nephrol 16: 242 262, 1996 PubMedWeb of Science®Google Scholar 13 Blake PG: The problem of mathematical coupling: How can statistical artifact and biological causation be separated when relating protein intake to clearance in "predialysis" and dialysis patients? Perit Dial Int 17: 431 434, 1997 CASPubMedWeb of Science®Google Scholar 14 Gotch F: A positive correlation of PCRN to KT/V in cross-sectional studies is not proof of a causal relationship. Perit Dial Int 15: 274 275, 1996 Web of Science®Google Scholar 15 Depner TA: Prescribing Hemodialysis: A Guide to Urea Modeling. Boston, Kluwer Academic, 1991 Google Scholar 16 Gotch FA: Kinetic modeling in hemodialysis, in Clinical Dialysis, 2nd ed., edited by Nissensen AR, Gentile DE, Fine RN. Norwalk, CT, Appleton and Lange, 1989, pp. 118–149 Google Scholar 17 Schneditz D, Van Stone JC, Daugirdas JT: A regional blood circulation alternative to in-series two-compartment urea kinetic modeling. ASAIO J 39: M573 M577, 1993 10.1097/00002480-199339030-00079 PubMedGoogle Scholar 18 Depner TA: Prescribing Hemodialysis: A Guide to Urea Modeling. Boston, Kluwer Academic, 1991, pp. 81–85 Google Scholar 19 Depner TA & Cheer AY: Modeling urea kinetics with two vs. three BUN measurements: a critical comparison. Trans Am Soc Artif Intern Organs 35: 499 502, 1989 10.1097/00002480-198907000-00105 CASGoogle Scholar 20 Kesheviah P, Itstrup K, Shapiro W, Hanson G: Hemodialysis urea kinetics is not single pool [abstract]. Kidney Int 27: 165, 1985 Google Scholar 21 Depner TA & Daugirdas JT: Equations for normalized protein catabolic rate based on two-point modeling of hemodialysis urea kinetics. J Am Soc Nephrol 7: 780 785, 1996 CASPubMedWeb of Science®Google Scholar 22 Archie JP: Mathematical coupling of data—a common source of error. Ann Surg 19: 296 303, 1981 10.1097/00000658-198103000-00008 Web of Science®Google Scholar 23 Depner TA: Assessing adequacy of hemodialysis: urea modeling. Kidney Int 45: 1522 1535, 1994 10.1038/ki.1994.199 CASPubMedWeb of Science®Google Scholar 24 Lai Y, Guh J-Y, Chen H-C, Tsai J-H: Effects of different sampling methods for measurement of post dialysis blood urea nitrogen on urea kinetic modeling derived parameters in patients undergoing long-term hemodialysis. ASAIO J 41: 211 215, 1995 10.1097/00002480-199506000-00017 CASPubMedGoogle Scholar 25 Depner TA, Greene T, Gotch FA, Daugirdas JT, Kesheviah PR, Star RA: Imprecision of the hemodialysis dose when measured directly from urea removal. Kidney Int 55: 635 648, 1999 10.1046/j.1523-1755.1999.00269.x CASPubMedWeb of Science®Google Scholar 26 Pedrini LA, Zereik S, Rasmy S: Causes, kinetics and clinical implications of post-hemodialysis urea rebound. Kidney Int 34: 817 824, 1988 10.1038/ki.1988.255 PubMedWeb of Science®Google Scholar 27 Daugirdas JT & Schneditz D: Overestimation of hemodialysis dose depends on dialysis efficiency by regional blood flow and conventional two pool urea kinetic analysis. ASAIO J 41: M719 M724, 1995 10.1097/00002480-199507000-00107 PubMedWeb of Science®Google Scholar 28 Daugirdas JT, Depner TA, Gotch FA, Greene T, Keshaviah P, Levin NW, Schulman G: Comparison of methods to predict equilibrated Kt/V in the HEMO pilot study. Kidney Int 52: 1395 1405, 1997 10.1038/ki.1997.467 CASPubMedWeb of Science®Google Scholar 29 Weinberg CR: Toward a clearer definition of confounding. Am J Epidemiol 137: 1 8, 1993 10.1093/oxfordjournals.aje.a116591 CASPubMedWeb of Science®Google Scholar 30 Carroll RJ, Ruppert D, Stefanski LA: Measurement Error in Nonlinear Models. New York, Chapman & Hall, 1995 Google Scholar 31 Stratton HH, Feustel PJ, Newell JC: Regression of calculated variables in the presence of shared measurement, error. J Appl Physiol 62: 2083 2093, 1987 PubMedWeb of Science®Google Scholar 32 Eknoyan G, Levey AS, Beck GJ, Agodoa LY, Daugirdas JT, Kusek JW, Levin NW, Schulman G: The hemodialysis (HEMO) study: rationale for selection of interventions. SeminDial 9: 24 33, 1996 10.1111/j.1525-139X.1996.tb00897.x Web of Science®Google Scholar 33 Kaplan RM & Berry CC: Adjusting for confounding variables, in Research Methodology: Strengthening Causal Interpretations of Nonexperimental Data, edited by Sechrest L, Perrin E, Bunker J. DHHS publication no. 90-3454. Washington, D.C., U.S. Department of Health and Human Services, 1990, pp. 105–114 Google Scholar 34 Tattersall JE, DeTakats D, Chamney P, Greenwood RN, Farrington K: The post-hemodialysis rebound: predicting and quantifying its effect on Kt/V. Kidney Int 50: 2094 2102, 1996 10.1038/ki.1996.534 PubMedWeb of Science®Google Scholar 35 Kloppenburg WD, Stegeman CA, Vos P, Vastenburg G, Kremer Hovinga TK, De Jong PE, Huisman RM: A high dialysis dose combined with a high protein diet has no beneficial effect on the nutritional status in stable hemodialysis (HD) patients [abstract]. J Am Soc Nephrol 9: 215A, 1998 Google Scholar HEMO Study Protocol. Bethesda, MD, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, 1998 Google Scholar 37 Greene T: The effect of mathematical coupling on the observed association between protein catabolic rate and urea removal in dialysis patients. Technical report 98-01.Cleveland Clinic Foundation, 1998 Google Scholar Citing Literature Volume12, Issue1February 1999Pages S‐20-S‐28 ReferencesRelatedInformation
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