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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 林慧玲(Fe-Lin Lin Wu) | |
dc.contributor.author | Li-Na Chen | en |
dc.contributor.author | 陳麗娜 | zh_TW |
dc.date.accessioned | 2021-06-08T01:26:16Z | - |
dc.date.copyright | 2014-10-15 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-07-31 | |
dc.identifier.citation | 1. 臺灣腎臟醫學會。慢性腎臟病防治手冊。行政院衛生署國民健康局;99年12月。
2. Wen CP, Cheng TY, Tsai MK, et al. All-cause mortality attributable to chronic kidney disease: a prospective cohort study based on 462 293 adults in Taiwan. Lancet 2008;371:2173-82. 3. Dowling TC. Chapter 50. Clinical Assessment of Kidney Function. In: Dipiro JT, Talbert RL, Yee GC, Matzke GR, Wells BG, Posey LM, editors. Pharmacotherapy: A Pathophysiologic Approach 8th ed. New York: McGraw-Hill; 2011. 4. Wu Y-H. A comparison of measured creatinine clearance (mClCr) versus estimated creatinine clearance (eClCr) and estimated glomerular filtration rate (eGFR). Graduate Institute of Pharmacy, National Taiwan University 2013. 5. Hahn T, Yao S, Dunford LM, et al. A comparison of measured creatinine clearance versus calculated glomerular filtration rate for assessment of renal function before autologous and allogeneic BMT. Biol Blood Marrow Transplant 2009;15:574-9. 6. Kharbanda M, Majumdar A, Basu S, Todi S. Assessment of accuracy of Cockcroft-Gault and MDRD formulae in critically ill Indian patients. Indian J Crit Care Med 2013;17:71-5. 7. Winter MA, Guhr KN, Berg GM. Impact of various body weights and serum creatinine concentrations on the bias and accuracy of the Cockcroft-Gault equation. Pharmacotherapy 2012;32:604-12. 8. Huang E, Hewitt RG, Shelton M, Morse GD. Comparison of measured and estimated creatinine clearance in patients with advanced HIV disease. Pharmacotherapy 1996;16:222-9. 9. Ferreira-Filho SR, Cardoso CC, de Castro LA, Oliveira RM, Sa RR. Comparison of Measured Creatinine Clearance and Clearances Estimated by Cockcroft-Gault and MDRD Formulas in Patients with a Single Kidney. Int J Nephrol 2011;2011:626178. 10. Pan M. Accuracy Analysis of Creatinine-Clearance Estimation Equations in National Taiwan University Hospital (NTUH). in Graduate Institute of Pharmacy1997, National Taiwan University. 11. Siersbaek-Nielsen K, Hansen JM, Kampmann J, Kristensen M. Rapid evaluation of creatinine clearance. Lancet 1971;1:1133-4. 12. United States Renal Data System (USRDS) 2013 annual date report. Avaliable at: http://www.usrds.org/atlas.aspx. 13. Stevens LA, Coresh J, Greene T, Levey AS. Assessing kidney function--measured and estimated glomerular filtration rate. N Engl J Med 2006;354:2473-83. 14. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 2002;39:S1-266. 15. Stevens LA, Levey AS. Measured GFR as a confirmatory test for estimated GFR. J Am Soc Nephrol 2009;20:2305-13. 16. Shemesh O, Golbetz H, Kriss JP, Myers BD. Limitations of creatinine as a filtration marker in glomerulopathic patients. Kidney Int 1985;28:830-8. 17. Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron 1976;16:31-41. 18. Dowling TC, Matzke GR, Murphy JE, Burckart GJ. Evaluation of renal drug dosing: prescribing information and clinical pharmacist approaches. Pharmacotherapy 2010;30:776-86. 19. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med 1999;130:461-70. 20. Levey AS, Greene T, Kusek J, Beck G. A simplified equation to predict glomerular filtration rate from serum creatinine. J Am Soc Nephrol 2000;11:155A. abstract. 21. Levey AS, Coresh J, Greene T, et al. Expressing the Modification of Diet in Renal Disease Study equation for estimating glomerular filtration rate with standardized serum creatinine values. Clin Chem 2007;53:766-72. 22. Eastwood JB, Kerry SM, Plange-Rhule J, et al. Assessment of GFR by four methods in adults in Ashanti, Ghana: the need for an eGFR equation for lean African populations. Nephrol Dial Transplant 2010;25:2178-87. 23. Poggio ED, Wang X, Greene T, Van Lente F, Hall PM. Performance of the modification of diet in renal disease and Cockcroft-Gault equations in the estimation of GFR in health and in chronic kidney disease. J Am Soc Nephrol 2005;16:459-66. 24. Froissart M, Rossert J, Jacquot C, Paillard M, Houillier P. Predictive performance of the modification of diet in renal disease and Cockcroft-Gault equations for estimating renal function. J Am Soc Nephrol 2005;16:763-73. 25. Botev R, Mallie JP, Couchoud C, et al. Estimating glomerular filtration rate: Cockcroft-Gault and Modification of Diet in Renal Disease formulas compared to renal inulin clearance. Clin J Am Soc Nephrol 2009;4:899-906. 26. Michels WM, Grootendorst DC, Verduijn M, Elliott EG, Dekker FW, Krediet RT. Performance of the Cockcroft-Gault, MDRD, and new CKD-EPI formulas in relation to GFR, age, and body size. Clin J Am Soc Nephrol 2010;5:1003-9. 27. Cirillo M, Anastasio P, De Santo NG. Relationship of gender, age, and body mass index to errors in predicted kidney function. Nephrol Dial Transplant 2005;20:1791-8. 28. Park EJ, Wu K, Mi Z, et al. A systematic comparison of cockcroft-gault and modification of diet in renal disease equations for classification of kidney dysfunction and dosage adjustment. Ann Pharmacother 2012;46:1174-87. 29. Edwards KD, Whyte HM. Plasma creatinine level and creatinine clearance as tests of renal function. Australas Ann Med 1959;8:218-24. 30. Jelliffe RW. Estimation of creatinine clearance when urine cannot be collected. Lancet 1971;1:975-6. 31. Mawer GE, Lucas SB, Knowles BR, Stirland RM. Computer-assisted prescribing of kanamycin for patients with renal insufficiency. Lancet 1972;1:12-5. 32. Wagner JG. Fundamentals of clinical pharmacokinetics. In: Hamilton IL, ed. Drug Intelligence Publications1975:162. 33. Jelliffe RW. Letter: Creatinine clearance: bedside estimate. Ann Intern Med 1973;79:604-5. 34. Rowe JW, Andres R, Tobin JD. Letter: Age-adjusted standards for creatinine clearance. Ann Intern Med 1976;84:567-9. 35. Hull JH, Hak LJ, Koch GG, Wargin WA, Chi SL, Mattocks AM. Influence of range of renal function and liver disease on predictability of creatinine clearance. Clin Pharmacol Ther 1981;29:516-21. 36. Chen KP, Damon A, Elliot O. Body form, composition, and some physiological functions of Chinese on Taiwan. Ann N Y Acad Sci 1963;110:760-77. 37. Jiang ZM, Yang NF, Chou C, et al. Body composition in Chinese subjects: comparison with data from North America. World J Surg 1991;15:95-101; discussion 2. 38. Praditpornsilpa K, Townamchai N, Chaiwatanarat T, et al. The need for robust validation for MDRD-based glomerular filtration rate estimation in various CKD populations. Nephrol Dial Transplant 2011;26:2780-5. 39. Zuo L, Ma YC, Zhou YH, Wang M, Xu GB, Wang HY. Application of GFR-estimating equations in Chinese patients with chronic kidney disease. Am J Kidney Dis 2005;45:463-72. 40. Chen LI, Guh JY, Wu KD, et al. Modification of Diet in Renal Disease (MDRD) Study and CKD Epidemiology Collaboration (CKD-EPI) Equations for Taiwanese Adults. PLoS One 2014;9:e99645. 41. Delanaye P, Krzesinski JM. Indexing of renal function parameters by body surface area: intelligence or folly? Nephron Clin Pract 2011;119:c289-92. 42. Teo BW, Xu H, Koh YY, et al. Glomerular filtration rates in healthy Asians without kidney disease. Nephrology (Carlton) 2014;19:72-9. 43. Xie P, Huang JM, Lin HY, Wu WJ, Pan LP. CDK-EPI equation may be the most proper formula based on creatinine in determining glomerular filtration rate in Chinese patients with chronic kidney disease. Int Urol Nephrol 2013;45:1057-64. 44. Asplin JR. Evaluation of the kidney stone patient. Semin Nephrol 2008;28:99-110. 45. Sica DA. Endocrine causes of secondary hypertension. J Clin Hypertens (Greenwich) 2008;10:534-40. 46. Walser M. Creatinine excretion as a measure of protein nutrition in adults of varying age. JPEN J Parenter Enteral Nutr 1987;11:73s-8s. 47. Murakami K, Sasaki S, Takahashi Y, et al. Sensitivity and specificity of published strategies using urinary creatinine to identify incomplete 24-h urine collection. Nutrition 2008;24:16-22. 48. Harris SA, Purdham JT, Corey PN, Sass-Kortsak AM. An evaluation of 24-hour urinary creatinine excretion for use in identification of incomplete urine collections and adjustment of absorbed dose of pesticides. AIHAJ 2000;61:649-57. 49. Kroos DS, Mays JE, Harris SA. A model to predict 24-h urinary creatinine using repeated measurements in an occupational cohort study. J Expo Sci Environ Epidemiol 2010;20:516-25. 50. O.M. E, R.I. B. urinary creatinine excretion as an index of the completeness of 24-hour urine collections. Lancet 1970;2:1165-6. 51. Folin O. Approximately complete analyses of thirty 'normal' urines American of Journal Physiology 1905;13:45-65. 52. Bingham SA, Cummings JH. The use of creatinine output as a check on the completeness of 24-hour urine collections. Hum Nutr Clin Nutr 1985;39:343-53. 53. Bailey RR, De Wardener HE. Creatinine excretion. The Lancet 1970;295:145. 54. Bingham S, Cummings JH. The use of 4-aminobenzoic acid as a marker to validate the completeness of 24 h urine collections in man. Clin Sci (Lond) 1983;64:629-35. 55. Reinivuo H, Valsta LM, Laatikainen T, Tuomilehto J, Pietinen P. Sodium in the Finnish diet: II trends in dietary sodium intake and comparison between intake and 24-h excretion of sodium. Eur J Clin Nutr 2006;60:1160-7. 56. Land MA, Webster J, Christoforou A, et al. Salt intake assessed by 24 h urinary sodium excretion in a random and opportunistic sample in Australia. BMJ Open 2014;4:e003720. 57. Jakobsen J, Ovesen L, Fagt S, Pedersen AN. Para-aminobenzoic acid used as a marker for completeness of 24 hour urine: assessment of control limits for a specific HPLC method. Eur J Clin Nutr 1997;51:514-9. 58. Leclercq C, Maiani G, Polito A, Ferro-Luzzi A. Use of PABA test to check completeness of 24-h urine collections in elderly subjects. Nutrition 1991;7:350-4. 59. Di Micco L, Quinn RR, Ronksley PE, et al. Urine creatinine excretion and clinical outcomes in CKD. Clin J Am Soc Nephrol 2013;8:1877-83. 60. Ix JH, Wassel CL, Stevens LA, et al. Equations to estimate creatinine excretion rate: the CKD epidemiology collaboration. Clin J Am Soc Nephrol 2011;6:184-91. 61. De Keyzer W, Huybrechts I, Dekkers AL, et al. Predicting urinary creatinine excretion and its usefulness to identify incomplete 24 h urine collections. Br J Nutr 2012;108:1118-25. 62. Kampmann J, Siersbaek-Nielsen K, Kristensen M, Hansen JM. Rapid evaluation of creatinine clearance. Acta Med Scand 1974;196:517-20. 63. Forbes GB, Bruining GJ. Urinary creatinine excretion and lean body mass. Am J Clin Nutr 1976;29:1359-66. 64. Mitch WE, Collier VU, Walser M. Creatinine metabolism in chronic renal failure. Clin Sci (Lond) 1980;58:327-35. 65. Rowe JW, Andres R, Tobin JD, Norris AH, Shock NW. The effect of age on creatinine clearance in men: a cross-sectional and longitudinal study. J Gerontol 1976;31:155-63. 66. Goldwasser P, Aboul-Magd A, Maru M. Race and creatinine excretion in chronic renal insufficiency. Am J Kidney Dis 1997;30:16-22. 67. Andreev E, Koopman M, Arisz L. A rise in plasma creatinine that is not a sign of renal failure: which drugs can be responsible? J Intern Med 1999;246:247-52. 68. Perrone RD, Madias NE, Levey AS. Serum creatinine as an index of renal function: new insights into old concepts. Clin Chem 1992;38:1933-53. 69. Zaltzman JS, Whiteside C, Cattran DC, Lopez FM, Logan AG. Accurate measurement of impaired glomerular filtration using single-dose oral cimetidine. Am J Kidney Dis 1996;27:504-11. 70. Larsson R, Bodemar G, Kagedal B, Walan A. The effects of cimetidine (Tagamet) on renal function in patients with renal failure. Acta Med Scand 1980;208:27-31. 71. Kastrup J, Petersen P, Bartram R, Hansen JM. The effect of trimethoprim on serum creatinine. Br J Urol 1985;57:265-8. 72. Naderer O, Nafziger AN, Bertino JS, Jr. Effects of moderate-dose versus high-dose trimethoprim on serum creatinine and creatinine clearance and adverse reactions. Antimicrob Agents Chemother 1997;41:2466-70. 73. Goldman R. Creatinine excretion in renal failure. Proc Soc Exp Biol Med 1954;85:446-8. 74. Enger E, Blegen EM. The relationship between endogenous creatinine clearance and serum creatinine in renal failure. Scand J Clin Lab Invest 1964;16:273-80. 75. Bargman JM, Skorecki K. Chapter 280. Chronic Kidney Disease. In: Longo DL, Fauci AS, Kasper DL, Hauser SL, Jameson J, Loscalzo J. eds. Harrison's Principles of Internal Medicine, 18e. New York: McGraw-Hill; 2012. . 76. Hebert LA, Greene T, Levey A, Falkenhain ME, Klahr S. High urine volume and low urine osmolality are risk factors for faster progression of renal disease. Am J Kidney Dis 2003;41:962-71. 77. Clark WF, Sontrop JM, Macnab JJ, et al. Urine volume and change in estimated GFR in a community-based cohort study. Clin J Am Soc Nephrol 2011;6:2634-41. 78. Chang A, Kramer H. Fluid intake for kidney disease prevention: an urban myth? Clin J Am Soc Nephrol 2011;6:2558-60. 79. Dowling TC, Wang ES, Ferrucci L, Sorkin JD. Glomerular filtration rate equations overestimate creatinine clearance in older individuals enrolled in the Baltimore longitudinal study on aging: impact on renal drug dosing. Pharmacotherapy 2013;33:912-21. 80. Matzke GR, Aronoff GR, Atkinson AJ, Jr., et al. Drug dosing consideration in patients with acute and chronic kidney disease-a clinical update from Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int 2011;80:1122-37. 81. Stevens LA, Nolin TD, Richardson MM, et al. Comparison of drug dosing recommendations based on measured GFR and kidney function estimating equations. Am J Kidney Dis 2009;54:33-42. 82. NKDEP. Chronic kidney disease and drug dosing: information for providers. Last updated: March 1, 2012. Available from http: //www.nkdep.nih.gov/resources/ CKD-drug-dosing.shtml#s2 . Accessed November 27, 2013. 83. Food and Drug Administration (FDA). Renal impairment guidance: guidance for industry: pharmacokinetics in patients with impaired renal function—study design, data analysis and impact on dosing and labeling. Bethesda, MD: FDA, 2010. Available from http: //www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/ Guidances/UCM204959.pdf. Accessed November 27, 2013. 84. Huang PC YS, Lin YM, Chu CL. Body weight of Chinese adults by sex, age and body height and criterion of obesity based on body mass index. J Chinese Nutr Soc 1992;17:157-72. 85. Janmahasatian S, Duffull SB, Ash S, Ward LC, Byrne NM, Green B. Quantification of lean bodyweight. Clin Pharmacokinet 2005;44:1051-65. 86. Mosteller RD. Simplified calculation of body-surface area. N Engl J Med 1987;317:1098. 87. BMI classification. World Health Organization (WHO). (Accessed June 13, 2014, 88. Barr DB, Wilder LC, Caudill SP, Gonzalez AJ, Needham LL, Pirkle JL. Urinary creatinine concentrations in the U.S. population: implications for urinary biologic monitoring measurements. Environ Health Perspect 2005;113:192-200. 89. 98年度依亞洲地區標準之國人肥胖百分比(BMI≧30),按性別、年齡分。98年國民健康訪問暨藥物濫用調查: 衛生福利部國民健康署。 90. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity among adults: United States, 2011-2012. NCHS Data Brief 2013:1-8. 91. Jones CA, McQuillan GM, Kusek JW, et al. Serum creatinine levels in the US population: third National Health and Nutrition Examination Survey. Am J Kidney Dis 1998;32:992-9. 92. Gomella LG, Haist SA. Chapter 6. Laboratory Diagnosis: Urine Studies. In: Gomella LG, Haist SA. eds. Clinician's Pocket Reference: The Scut Monkey, 11e. New York, NY: McGraw-Hill; 2007. http://accessmedicine.mhmedical.com/content.aspx? bookid=365&Sectionid=43074915. Accessed June 29, 2014. 93. Maarten W. Taal GMC, Philip A. Marsden, Karl Skorecki, Alan S.L. Yu, and Barry M. Brenner. Brenner and Rector's the Kidney , Ninth Edition: Elsevier Inc; 2012:540-94. 94. WHO. 1996. Biological Monitoring of Chemical Exposure in the Workplace. Vol 1. Geneva:World Health Organization. 95. Vandevijvere S, De Keyzer W, Chapelle JP, et al. Estimate of total salt intake in two regions of Belgium through analysis of sodium in 24-h urine samples. Eur J Clin Nutr 2010;64:1260-5. 96. Wu CH, Yang YW, Hu YH, et al. Comparison of 24-h urinary aldosterone level and random urinary aldosterone-to-creatinine ratio in the diagnosis of primary aldosteronism. PLoS One 2013;8:e67417. 97. Yu KH, Luo SF, Tsai WP, Huang YY. Intermittent elevation of serum urate and 24-hour urinary uric acid excretion. Rheumatology (Oxford) 2004;43:1541-5. 98. Ortiz A, Sanchez-Nino MD, Sanz AB. The meaning of urinary creatinine concentration. Kidney Int 2011;79:791. 99. Cohn SH, Vartsky D, Yasumura S, et al. Compartmental body composition based on total-body nitrogen, potassium, and calcium. Am J Physiol 1980;239:E524-30. 100. Wu SJ, Pan WH, Yeh NH, Chang HY. Trends in nutrient and dietary intake among adults and the elderly: from NAHSIT 1993-1996 to 2005-2008. Asia Pac J Clin Nutr 2011;20:251-65. 101. Bader M, Messerer P, Will W. Urinary creatinine concentrations in an industrial workforce and comparison with reference values of the general population. Int Arch Occup Environ Health 2013;86:673-80. 102. Alessio L, Berlin A, Dell'Orto A, Toffoletto F, Ghezzi I. Reliability of urinary creatinine as a parameter used to adjust values of urinary biological indicators. Int Arch Occup Environ Health 1985;55:99-106. 103. Daniel CR, Cross AJ, Koebnick C, Sinha R. Trends in meat consumption in the USA. Public Health Nutr 2011;14:575-83. 104. Austin GL, Ogden LG, Hill JO. Trends in carbohydrate, fat, and protein intakes and association with energy intake in normal-weight, overweight, and obese individuals: 1971-2006. Am J Clin Nutr 2011;93:836-43. 105. 每人每日蛋白供給量。行政院農委會;2011更新。 106. Brater DC. Diuretic Therapy. N Engl J Med 1998;339:387-95. 107. Lam NP, Kuk JM, Franson KL, Lau AH. Effect of diuretic drugs on creatinine clearance determination. Ther Drug Monit 1995;17:142-4. 108. Herrera-Gutierrez ME, Seller-Perez G, Banderas-Bravo E, Munoz-Bono J, Lebron-Gallardo M, Fernandez-Ortega JF. Replacement of 24-h creatinine clearance by 2-h creatinine clearance in intensive care unit patients: a single-center study. Intensive Care Med 2007;33:1900-6. 109. Baptista JP, Udy AA, Sousa E, et al. A comparison of estimates of glomerular filtration in critically ill patients with augmented renal clearance. Crit Care 2011;15:R139. 110. Cherry RA, Eachempati SR, Hydo L, Barie PS. Accuracy of short-duration creatinine clearance determinations in predicting 24-hour creatinine clearance in critically ill and injured patients. J Trauma 2002;53:267-71. 111. Martin JH, Fay MF, Udy A, et al. Pitfalls of using estimations of glomerular filtration rate in an intensive care population. Intern Med J 2011;41:537-43. 112. Martin C, Alaya M, Bras J, Saux P, Gouin F. Assessment of creatinine clearance in intensive care patients. Crit Care Med 1990;18:1224-6. 113. Udy AA, Putt MT, Shanmugathasan S, Roberts JA, Lipman J. Augmented renal clearance in the Intensive Care Unit: an illustrative case series. Int J Antimicrob Agents 2010;35:606-8. 114. Hoste EA, Damen J, Vanholder RC, et al. Assessment of renal function in recently admitted critically ill patients with normal serum creatinine. Nephrol Dial Transplant 2005;20:747-53. 115. CKD and Drug Dosing: Information for Providers. National Kidney Disease Education Program (NKDEP). (Accessed June 23, 2014, 116. Coresh J, Astor BC, McQuillan G, et al. Calibration and random variation of the serum creatinine assay as critical elements of using equations to estimate glomerular filtration rate. American journal of kidney diseases : the official journal of the National Kidney Foundation 2002;39:920-9. 117. Verhave JC, Fesler P, Ribstein J, du Cailar G, Mimran A. Estimation of renal function in subjects with normal serum creatinine levels: influence of age and body mass index. Am J Kidney Dis 2005;46:233-41. 118. Pak CY, Odvina CV, Pearle MS, et al. Effect of dietary modification on urinary stone risk factors. Kidney Int 2005;68:2264-73. 119. Malekshah AF, Kimiagar M, Saadatian-Elahi M, et al. Validity and reliability of a new food frequency questionnaire compared to 24 h recalls and biochemical measurements: pilot phase of Golestan cohort study of esophageal cancer. Eur J Clin Nutr 2006;60:971-7. 120. Liu L, Ikeda K, Yamori Y. Inverse relationship between urinary markers of animal protein intake and blood pressure in Chinese: results from the WHO Cardiovascular Diseases and Alimentary Comparison (CARDIAC) Study. Int J Epidemiol 2002;31:227-33. 121. Rule AD, Bailey KR, Schwartz GL, Khosla S, Lieske JC, Melton LJ, 3rd. For estimating creatinine clearance measuring muscle mass gives better results than those based on demographics. Kidney Int 2009;75:1071-8. 122. WHO Regional Office for Europe. Estimation of sodium intake and output: review of methods and recommendations for epidemiological studies. Report on a WHO meeting by the WHO collaborating center for research and training in cardiovascular diseasesGeneva: World Health Organization 1984. 123. Joossens JV, Geboers J.Monitoring salt intake of the population: methodological considerations. In: Backer GG, Pedoe HT, Ducimetiere P, editors. Surveillance of the dietary habits of the population with regard to cardiovascular diseases, EURO-NUT report 2. Wageningen: Department of Human Nutrition, Agricultural University. 1984:61-73. 124. Knuiman JT, Hautvast JG, van der Heyden L, et al. A multi-centre study on completeness of urine collection in 11 European centres. I. Some problems with the use of creatinine and 4-aminobenzoic acid as markers of the completeness of collection. Hum Nutr Clin Nutr 1986;40:229-37. 125. Kawasaki T, Uezono K, Itoh K, Ueno M. [Prediction of 24-hour urinary creatinine excretion from age, body weight and height of an individual and its application]. Nihon Koshu Eisei Zasshi 1991;38:567-74. 126. Moriyama M, Saito H, Nakano A, Funaki S, Kojima S. Estimation of urinary 24-hr creatinine excretion by body size and dietary protein level: a field survey based on seasonally repeated measurements for residents living in Akita, Japan. Tohoku J Exp Med 1988;156:55-63. 127. Tanaka T, Okamura T, Miura K, et al. A simple method to estimate populational 24-h urinary sodium and potassium excretion using a casual urine specimen. J Hum Hypertens 2002;16:97-103. 128. Turner WJ. Total body potassium and 24-hour creatinine excretion in healthy males. Clin Pharmacol Ther 1975;18:405-12. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/18790 | - |
dc.description.abstract | 研究背景
依據腎功能調整藥品劑量在腎功能不全的病人是相當重要的事情。收集24小時尿液肌酸酐測得的肌酸酐廓清率(24-hour measured creatinine clearance; 24-hr mClCr)為調整劑量腎功能依據的黃金準則,而臨床上最常用Cockroft-Gault(CG)公式算出的肌酸酐廓清率(estimated creatinine clearance; eClCr)估計24-hr mClCr。 根據本團隊研究,發現CG公式低估24-hr mClCr,會有這樣的差異也許是因為種族的影響,因此想建立一個適用於臺灣人eClCr的公式。另外,也發現利用過去白人所建立的每日尿液肌氨酸酐排除量(urinary creatinine excretion; UCE)來排除收集不全的病人,會排除過多病人,故也想建立一個臺灣人每日肌氨酸酐排除量,以提供之後研究參考。 研究目的 主要目的是:建立臺灣人最適切的eClCr計算公式。次要目的是:建立臺灣人男性與女性各年齡層每日每公斤尿液creatinine排除的參考值。 研究材料與方法 回溯性研究某醫學中心2010年至2013年有24-hr mClCr資料的成年人,納入試驗有684筆24-hr mClCr,將病人以2比1隨機分配為建立組456筆及驗證組228筆。先利用建立組以24-hr mClCr為標準,發展出臺灣人的公式,並比較臺灣人的UCE是否跟西方人不同;再以驗證組的24-hr mClCr比較推導出來的公式以及不同eClCr公式,最主要是比較公式間的均方根誤差(root mean square error; RMSE,平均差值平方再開根號),另外也會看偏差度(bias,eClCr與24-hr mClCr差值中位數)、相對偏差度(relative bias,eClCr與24-hr mClCr相對差值中位數)、精準度(precision,eClCr與24-hr mClCr差值的四分位距)、準確度(accuracy,eClCr在24-hr mClCr ± 30%之內的比例)。 結果與討論 本研究發現臺灣人每天每公斤UCE比西方人還高,可能是相對照的文獻較為久遠,年代的不同造成飲食習慣的差異,進而影響creatinine的排除量。驗證組比較不同公式的表現,CG公式的RMSE為35.92 mL/min、relative bias為-21%,而本研究利用瘦肉體重(lean body weight; LBW)推導出的公式Eq-LBW2是所有eClCr表現最好的公式(RMSE=29.05 mL/min; relative bias=2.56%),而利用真實體重(total body weight; TBW)推導出的公式Eq-TBW2(RMSE=29.77 mL/min; relative bias=-3.04%)與LBW2並沒有顯著的差異。 結論 即使改變了尿液收集不全或過多的條件,CG公式仍然不適合用在臺灣人。新發展出的公式Eq-LBW2的表現最好,但LBW的計算並不易,故要臨床方便使用則用與Eq-LBW2差異不大的Eq-TBW2:男性eClCr=(169-年齡) x體重 x 0.82 (女性)/(75 x serum creatinine)。臺灣人每日尿液排除creatinine的量比西方人過去還多,因此使用西方人過去的UCE來判定尿液收集不全或過多是不恰當的,可考慮參考本研究做出的UCE表格。 | zh_TW |
dc.description.abstract | Background
It’s important to adjust dosage according to residual renal function in chronic kidney disease. Measured 24-hour creatinine clearance (24-hr mClCr) is a gold standard for dosage adjustment. Cockcroft and Gault (CG) equation is most commonly used for creatinine clearance estimation. According to our team’s past research, CG equation tends to underestimate 24-hr mClCr. The discrepancy may be owing to ethnicity. Therefore we wanted to develop an equation for Taiwanese. In the past, we used the daily urinary creatinine excretion (UCE) derived in Western country as a criterion to exclude patients of incomplete urine collection. This may exclude too many patients. Thus, we tempt to develop a creatinine excretion reference table for Taiwanese. Objective The primary endpoint is to derive an equation to estimate creatinine clearance (eClCr) in Taiwanese. The secondary endpoint is to establish a creatinine excretion reference table for Taiwanese. Materials and Methods It is a retrospective study in a medical center . Six hundred and eighty-four 24-hr mClCr from 2010/1/1 to 2013/12/31 were included and randomly assigned training group or validation group at a ratio of 2:1. There were 456 mClCr in training group, 228 mClCr in validation group. These 24-hr mClCr data in the training group were used to develop eClCr equations and creatinine excretion reference table. The performances of developed equations were compared with to other eClCr equations using data in the validation group. Root mean square error (RMSE), bias (median of difference between eClCr and 24-hr mClCr), relative bias (median of relative difference between eClCr and 24-hr mClCr), precision (interquatile of difference between eClCr and 24-hr mClCr), and accuracy (percentage of eClCr in 24-hr mClCr ± 30%) were used as indicators of performance. Results and Discussions We found that Taiwanese’s UCE (mg/kg/day) is higher than Western’s UCE. The reason may be that the corresponding study was old. The dietary habit may have changed with times, which may affect the UCE. The best equation for Taiwanese was Eq-LBW2 (RMSE=29.05 mL/min, relative bias= 2.56%) that developed by lean body weight (LBW) in this study. Eq-TBW2 (RMSE=29.77 mL/min, relative bias= -3.04%) had no significant difference with Eq-LBW2. The performance of CG was not so good as above (RMSE= 35.92 mL/min, relative bias= -21%). Conclusions CG equation may not be suitable for Taiwanese, even though we modified criteria of incomplete-collection/over-collection urine. The equation Eq-LBW2 developed in this study was the best eClCr equation for Taiwanese, but calculation of LBW was not easy. Thus, we recommend Eq-TBW2 that has similar performance to Eq-LBW2 instead in clinical settings. Eq-TBW2: eClCr=(169-age) x weight x 0.82 (if female) / (75 x SCr). Futhermore, because Taiwanese’s UCE (mg/kg/day) is higher than Western’s UCE, it is inappropriate to use Western’ UCE as a criterion of incomplete or over-collection urine in Taiwanese. The reference table developed in this study may be used. | en |
dc.description.provenance | Made available in DSpace on 2021-06-08T01:26:16Z (GMT). No. of bitstreams: 1 ntu-103-R01451010-1.pdf: 7315342 bytes, checksum: 2ff9c15cfc2fb64f236cbfad3543f5e4 (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 致謝 i
中文摘要 iii 研究背景 iii 研究目的 iii 研究材料與方法 iii 結果與討論 iv 結論 iv 關鍵字 iv Abstract v Background v Objective v Materials and Methods v Results and Discussions vi Conclusions vi Key words vii 目錄 viii 表次 xii 圖次 xiv 附錄 xv 第1章 前言 1 第2章 文獻回顧 2 第1節 腎功能評估 2 第2節 估計腎功能公式 3 2.2.1 Cockcroft-Gault(CG)公式 3 2.2.2 Modification of Diet in Renal Disease(MDRD)公式 4 2.2.3 CG公式與mClCr 4 2.2.4 CG公式與MDRD公式 4 2.2.5 其他eClCr公式 5 第3節 腎功能公式在華人 6 第4節 尿液收集完整性 7 4.4.1 PABA檢測尿液收集不全 8 4.4.2 UCE檢測尿液收集不全 8 4.4.3 影響UCE的因子 9 4.4.4 腎功能與尿量 11 第5節 依照腎功能調整劑量 11 第3章 研究目的 13 第4章 研究材料及方法 14 第1節 研究設計 14 第2節 資料來源 14 第3節 研究對象及資料收集 14 4.3.1 資料整理及排除條件 14 第4節 研究方法 16 4.4.1 24小時尿液測量計算 16 4.4.2 eClCr公式 16 4.4.3 體重計算 17 4.4.4 體表面積算法 17 4.4.5 SCr、UCr測量方法 17 第5節 統計分析 17 4.5.1 病人基本資料分析 17 4.5.2 利用training data推導公式 18 4.5.3 利用validation data驗證公式 18 4.5.4 統計方法 19 4.5.5 利尿劑的影響 20 4.5.6 加護病房病人的分析 20 第6節 統計分析軟體 21 第5章 研究結果 22 第1節 病人分布及特性 22 第2節 利用training data建立urinary creatinine excretion的參考表格 23 第3節 利用training data發展公式 24 第4節 利用validation data比較不同公式 24 第5節 細族群(subgroup)分析 25 5.4.1 利尿劑使用對於發展eClCr公式的影響 25 5.4.2 不同eClCr公式在ICU的表現 26 第6章 討論 27 第1節 總結 27 第2節 病人分布及特性 27 第3節 臺灣人的urinary creatinine excretion 29 6.3.1 UCE、UCr隨著年齡增加而減少 29 6.3.2 UCE、UCr女性比男性低 29 6.3.3 臺灣人的UCE比西方人高 30 6.3.4 臺灣人的UCr比西方人還低 31 6.3.5 LBW的計算 31 6.3.6適合用來當作臺灣人creatinine excretion的參考表格 31 第4節 不同eClCr預估mClCr的表現 32 第5節 Subgroup分析 33 6.5.1 利尿劑使用對於發展eClCr公式的影響 33 6.5.2 不同eClCr公式在ICU的表現 33 第6節 測量方式對creatinine的影響 34 第7節 本研究特殊處 35 第8節 研究限制 35 第9節 未來研究方向 36 第7章 結論 37 圖表 38 附錄 89 參考文獻 107 | |
dc.language.iso | zh-TW | |
dc.title | 建立臺灣人肌酸酐廓清率估計公式及每日肌酸酐排除量的參考值 | zh_TW |
dc.title | Establishment of a creatinine clearance estimation equation and daily creatinine excretion reference table for Taiwanese | en |
dc.type | Thesis | |
dc.date.schoolyear | 102-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 沈麗娟,吳寬墩 | |
dc.subject.keyword | 腎功能評估,肌酸酐廓清率,每日肌酸酐排除量,調整劑量, | zh_TW |
dc.subject.keyword | renal function,creatinine clearance,urinary creatinine excretion,dosage adjustment, | en |
dc.relation.page | 118 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2014-07-31 | |
dc.contributor.author-college | 醫學院 | zh_TW |
dc.contributor.author-dept | 臨床藥學研究所 | zh_TW |
顯示於系所單位: | 臨床藥學研究所 |
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