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四、時機及頻率

Dalam dokumen 2015 Taiwan CKD guideline.pdf (Halaman 73-81)

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第四章 慢性腎臟病定義、診斷、分期、偵測與篩檢

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第四章 慢性腎臟病定義、診斷、分期、偵測與篩檢

慢性腎臟病流行病學、診斷及惡化因子

(四) 引自「NICE 2008 CKD臨床指引」建議,63追蹤預估的GFR頻率如下表 (good practice points)﹕

預估的腎絲球過濾率需多久測一次?

所有危險族群每年都應檢查一次。

慢性腎臟病病人有併發症或手術前後應檢查。

確切的檢查頻率應依臨床狀況而定,如果腎絲球過濾率保持穩定,檢查頻率可以降低,如果 惡化迅速,檢查頻率需要提高。

慢性腎臟病分期 預估的腎絲球過濾率(ml/min/1.73m2) 檢驗頻率

1、2 >= 60 每年

3 30-59 每半年

4 15-29 每3個月

5 <15 每6星期

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第四章 慢性腎臟病定義、診斷、分期、偵測與篩檢

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第四章 慢性腎臟病定義、診斷、分期、偵測與篩檢

慢性腎臟病流行病學、診斷及惡化因子

參考文獻

1. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classifi cation, and stratifi cation. American journal of kidney diseases : the offi cial journal of the National Kidney Foundation.39(2 Suppl 1):S1-266.(4)

2. Levey AS, Eckardt KU, Tsukamoto Y, et al. Definition and classification of chronic kidney disease: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO).

Kidney Int. 2005;67(6):2089-2100.(4)

3. Eckardt KU, Berns JS, Rocco MV, Kasiske BL. Defi nition and classifi cation of CKD: the de- bate should be about patient prognosis--a position statement from KDOQI and KDIGO. Am J Kidney Dis. 2009;53(6):915-920.(4)

4. KDIGO CKD Work Group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl. 2013;3:1–150.(4)

5. Astor BC, Matsushita K, Gansevoort RT, et al. Lower estimated glomerular fi ltration rate and higher albuminuria are associated with mortality and end-stage renal disease. A collaborative meta-analysis of kidney disease population cohorts. Kidney Int. 2011;79(12):1331-1340.(1+) 6. Gansevoort RT, Matsushita K, van der Velde M, et al. Lower estimated GFR and higher albu-

minuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts. Kidney Int. 2011;80(1):93-104.(1+)

7. Matsushita K, van der Velde M, Astor BC, et al. Association of estimated glomerular fi ltration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts:

a collaborative meta-analysis. Lancet. 2010;375(9731):2073-2081.(1+)

8. van der Velde M, Matsushita K, Coresh J, et al. Lower estimated glomerular fi ltration rate and higher albuminuria are associated with all-cause and cardiovascular mortality. A collaborative meta-analysis of high-risk population cohorts. Kidney Int. 2011;79(12):1341-1352.(1+)

9. Tonelli M, Muntner P, Lloyd A, et al. Using proteinuria and estimated glomerular filtration rate to classify risk in patients with chronic kidney disease: a cohort study. Ann Intern Med.

2011;154(1):12-21.(2+)

10. Blaufox MD, Aurell M, Bubeck B, et al. Report of the Radionuclides in Nephrourology Com- mittee on renal clearance. J Nucl Med. 1996;37(11):1883-1890.(4)

11. Fleming JS, Zivanovic MA, Blake GM, Burniston M, Cosgriff PS. Guidelines for the measurement of glomerular filtration rate using plasma sampling. Nucl Med Commun.

2004;25(8):759-769.(4)

12. Ma YC, Zuo L, Zhang CL, Wang M, Wang RF, Wang HY. Comparison of 99mTc-DTPA re- nal dynamic imaging with modifi ed MDRD equation for glomerular fi ltration rate estimation in Chinese patients in different stages of chronic kidney disease. Nephrol Dial Transplant.

2007;22(2):417-423.(2-)

13. Dharnidharka VR, Kwon C, Stevens G. Serum cystatin C is superior to serum creatinine as a marker of kidney function: a meta-analysis. Am J Kidney Dis. 2002;40(2):221-226.(1-)

14. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to esti- mate glomerular fi ltration rate from serum creatinine: a new prediction equation. Modifi cation of Diet in Renal Disease Study Group. Ann Intern Med. 1999;130(6):461-470.(2+)

15. Levey AS, Coresh J, Greene T, et al. Using standardized serum creatinine values in the mod- ifi cation of diet in renal disease study equation for estimating glomerular fi ltration rate. Ann Intern Med. 2006;145(4):247-254.(2+)

16. Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604-612.(2+)

17. Earley A, Miskulin D, Lamb EJ, Levey AS, Uhlig K. Estimating equations for glomeru- lar filtration rate in the era of creatinine standardization: a systematic review. Ann Intern Med. 2012;156(11):785-795, w-270, w-271, w-272, w-273, w-274, w-275, w-276, w-277, w-278.(2++)

18. Matsushita K, Mahmoodi BK, Woodward M, et al. Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate.

Jama. 2012;307(18):1941-1951.(1-)

19. Matsuo S, Imai E, Horio M, et al. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009;53(6):982-992.(2-)

20. Horio M, Imai E, Yasuda Y, Watanabe T, Matsuo S. Modifi cation of the CKD epidemiology collaboration (CKD-EPI) equation for Japanese: accuracy and use for population estimates. Am J Kidney Dis. 2010;56(1):32-38.(2-)

21. 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(6):e99645.(2-)

22. Stevens LA, Coresh J, Schmid CH, et al. Estimating GFR using serum cystatin C alone and in combination with serum creatinine: a pooled analysis of 3,418 individuals with CKD. Am J Kidney Dis. 2008;51(3):395-406.(2+)

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第四章 慢性腎臟病定義、診斷、分期、偵測與篩檢

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第四章 慢性腎臟病定義、診斷、分期、偵測與篩檢

慢性腎臟病流行病學、診斷及惡化因子

23. Inker LA, Eckfeldt J, Levey AS, et al. Expressing the CKD-EPI (Chronic Kidney Disease Ep- idemiology Collaboration) cystatin C equations for estimating GFR with standardized serum cystatin C values. Am J Kidney Dis. 2011;58(4):682-684.(2+)

24. Inker LA, Schmid CH, Tighiouart H, et al. Estimating glomerular fi ltration rate from serum creatinine and cystatin C. N Engl J Med. 2012;367(1):20-29.(2+)

25. Shlipak MG, Matsushita K, Arnlov J, et al. Cystatin C versus creatinine in determining risk based on kidney function. N Engl J Med. 2013;369(10):932-943.(1+)

26. Stevens LA, Levey AS. Measured GFR as a confi rmatory test for estimated GFR. J Am Soc Nephrol. 2009;20(11):2305-2313.(1-)

27. Wu HY, Huang JW, Peng YS, et al. Microalbuminuria screening for detecting chronic kidney disease in the general population: a systematic review. Ren Fail. 2013;35(5):607-614.(1-) 28. Hallan SI, Dahl K, Oien CM, et al. Screening strategies for chronic kidney disease in the gen-

eral population: follow-up of cross sectional health survey. Bmj. 2006;333(7577):1047.(2+) 29. Haroun MK, Jaar BG, Hoffman SC, Comstock GW, Klag MJ, Coresh J. Risk factors for chron-

ic kidney disease: a prospective study of 23,534 men and women in Washington County, Mary- land. J Am Soc Nephrol. 2003;14(11):2934-2941.(2+)

30. Retnakaran R, Cull CA, Thorne KI, Adler AI, Holman RR. Risk factors for renal dysfunction in type 2 diabetes: U.K. Prospective Diabetes Study 74. Diabetes. 2006;55(6):1832-1839.(2+) 31. Gelber RP, Kurth T, Kausz AT, et al. Association between body mass index and CKD in appar-

ently healthy men. Am J Kidney Dis. 2005;46(5):871-880.(2+)

32. Elsayed EF, Tighiouart H, Griffi th J, et al. Cardiovascular disease and subsequent kidney dis- ease. Arch Intern Med. 2007;167(11):1130-1136.(2+)

33. Freedman BI, Soucie JM, McClellan WM. Family history of end-stage renal disease among incident dialysis patients. J Am Soc Nephrol. 1997;8(12):1942-1945.(2+)

34. Lai MN, Lai JN, Chen PC, Hsieh SC, Hu FC, Wang JD. Risks of kidney failure associated with consumption of herbal products containing Mu Tong or Fangchi: a population-based case-con- trol study. Am J Kidney Dis. 2010;55(3):507-518.(2+)

35. Muntner P, Coresh J, Smith JC, Eckfeldt J, Klag MJ. Plasma lipids and risk of developing renal dysfunction: the atherosclerosis risk in communities study. Kidney Int. 2000;58(1):293-301.(2+) 36. Stengel B, Tarver-Carr ME, Powe NR, Eberhardt MS, Brancati FL. Lifestyle factors, obesity

and the risk of chronic kidney disease. Epidemiology. 2003;14(4):479-487.(2+)

37. Chang HY, Lee PH, Lei CC, et al. Hyperuricemia is an independent risk factor for new onset micro-albuminuria in a middle-aged and elderly population: a prospective cohort study in tai- wan. PLoS One. 2013;8(4):e61450.(2+)

38. Coresh J, Astor BC, Greene T, Eknoyan G, Levey AS. Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. Am J Kidney Dis. 2003;41(1):1-12.(2+)

39. Guh JY, Chen HC, Tsai JF, Chuang LY. Herbal therapy is associated with the risk of CKD in adults not using analgesics in Taiwan. Am J Kidney Dis. 2007;49(5):626-633.(2-)

40. Wu VC, Huang TM, Wu PC, et al. Preoperative proteinuria is associated with long-term pro- gression to chronic dialysis and mortality after coronary artery bypass grafting surgery. PLoS One. 2012;7(1):e27687.(2++)

41. Wu VC, Huang TM, Lai CF, et al. Acute-on-chronic kidney injury at hospital discharge is asso- ciated with long-term dialysis and mortality. Kidney Int. 2011;80(11):1222-1230.(2++)

42. Thomas G, Sehgal AR, Kashyap SR, Srinivas TR, Kirwan JP, Navaneethan SD. Metabolic syndrome and kidney disease: a systematic review and meta-analysis. Clin J Am Soc Nephrol.

2011;6(10):2364-2373.(1+)

43. Kurella M, Lo JC, Chertow GM. Metabolic syndrome and the risk for chronic kidney disease among nondiabetic adults. J Am Soc Nephrol. 2005;16(7):2134-2140.(2+)

44. Cheng HT, Huang JW, Chiang CK, Yen CJ, Hung KY, Wu KD. Metabolic syndrome and in- sulin resistance as risk factors for development of chronic kidney disease and rapid decline in renal function in elderly. J Clin Endocrinol Metab. 2012;97(4):1268-1276.(2+)

45. Drey N, Roderick P, Mullee M, Rogerson M. A population-based study of the incidence and outcomes of diagnosed chronic kidney disease. Am J Kidney Dis. 2003;42(4):677-684.(2-) 46. Yang T, Chu CH, Hsu CH, et al. Impact of metabolic syndrome on the incidence of chronic

kidney disease: a Chinese cohort study. Nephrology (Carlton). 2012;17(6):532-538.(2-)

47. Chen S, Chen Y, Liu X, et al. Association of insulin resistance with chronic kidney disease in non-diabetic subjects with normal weight. PLoS One. 2013;8(9):e74058.(2-)

48. 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(9631):2173- 2182.(2+)

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第四章 慢性腎臟病定義、診斷、分期、偵測與篩檢

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第四章 慢性腎臟病定義、診斷、分期、偵測與篩檢

慢性腎臟病流行病學、診斷及惡化因子

49. Ryan TP, Sloand JA, Winters PC, Corsetti JP, Fisher SG. Chronic kidney disease prevalence and rate of diagnosis. Am J Med. 2007;120(11):981-986.(3)

50. Qaseem A, Hopkins RH, Jr., Sweet DE, Starkey M, Shekelle P. Screening, monitoring, and treatment of stage 1 to 3 chronic kidney disease: A clinical practice guideline from the Ameri- can College of Physicians. Ann Intern Med. 2013;159(12):835-847.(2++)

51. Price CP, Newall RG, Boyd JC. Use of protein:creatinine ratio measurements on random urine samples for prediction of significant proteinuria: a systematic review. Clin Chem.

2005;51(9):1577-1586.(2++)

52. Ewald B, Attia J. Which test to detect microalbuminuria in diabetic patients? A systematic re- view. Aust Fam Physician. 2004;33(7):565-567, 571.(2++)

53. Newman DJ, Mattock MB, Dawnay AB, et al. Systematic review on urine albumin testing for early detection of diabetic complications. Health Technol Assess. 2005;9(30):iii-vi, xiii-163.(2++) 54. Ruggenenti P, Gaspari F, Perna A, Remuzzi G. Cross sectional longitudinal study of spot

morning urine protein:creatinine ratio, 24 hour urine protein excretion rate, glomerular fi ltra- tion rate, and end stage renal failure in chronic renal disease in patients without diabetes. Bmj.

1998;316(7130):504-509.(2++)

55. Morris RK, Riley RD, Doug M, Deeks JJ, Kilby MD. Diagnostic accuracy of spot urinary protein and albumin to creatinine ratios for detection of signifi cant proteinuria or adverse preg- nancy outcome in patients with suspected pre-eclampsia: systematic review and meta-analysis.

Bmj. 2012;345:e4342.(2++)

56. Turin TC, James M, Ravani P, et al. Proteinuria and rate of change in kidney function in a com- munity-based population. J Am Soc Nephrol. 2013;24(10):1661-1667.(2-)

57. Iseki K, Iseki C, Ikemiya Y, Fukiyama K. Risk of developing end-stage renal disease in a co- hort of mass screening. Kidney Int. 1996;49(3):800-805.(2+)

58. Iseki K, Ikemiya Y, Iseki C, Takishita S. Proteinuria and the risk of developing end-stage renal disease. Kidney Int. 2003;63(4):1468-1474.(2+)

59. Tonelli M, Jose P, Curhan G, Sacks F, Braunwald E, Pfeffer M. Proteinuria, impaired kidney function, and adverse outcomes in people with coronary disease: analysis of a previously con- ducted randomised trial. Bmj. 2006;332(7555):1426.(2+)

60. Carroll MF, Temte JL. Proteinuria in adults: a diagnostic approach. Am Fam Physician.

2000;62(6):1333-1340.(3)

61. Lin CY, Sheng CC, Chen CH, Lin CC, Chou P. The prevalence of heavy proteinuria and pro- gression risk factors in children undergoing urinary screening. Pediatr Nephrol. 2000;14(10- 11):953-959.(2+)

62. Boulware LE, Jaar BG, Tarver-Carr ME, Brancati FL, Powe NR. Screening for proteinuria in US adults: a cost-effectiveness analysis. Jama. 2003;290(23):3101-3114.(2++)

63. NICE clinical guideline 73: Early identifi cation and management of chronic kidney disease in adults in primary and secondary care. 2008.(4)

64. Chadban SJ, Briganti EM, Kerr PG, et al. Prevalence of kidney damage in Australian adults:

The AusDiab kidney study. J Am Soc Nephrol. 2003;14(7 Suppl 2):S131-138.(2+)

65. National Kidney Disease Education Program (NKDEP). http://www.nkdep.nih.gov/profession- als/chronic_kidney_disease.htm (4)

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第四章 慢性腎臟病定義、診斷、分期、偵測與篩檢

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第四章 慢性腎臟病定義、診斷、分期、偵測與篩檢

慢性腎臟病流行病學、診斷及惡化因子

第一節 慢性腎臟病惡化定義

慢性腎臟病(chronic kidney disease,簡稱CKD)惡化定義為:一、當腎絲球過濾 率(glomerular fi ltration rate,簡稱eGFR,單位為ml/min/1.73m2)分期(≧90為G1, 60-89 為G2,45-59 為G3a,30-44 為G3b,15-29 為G4,<15為G5) 下 降 且 合 併 eGFR比基準降低超過25%;1二、快速進展(rapid progression):一年內持續eGFR下 降>5 ml/min/1.73m2

第二節 家族史及遺傳因子

Dalam dokumen 2015 Taiwan CKD guideline.pdf (Halaman 73-81)