Cited by 1,811Chronic Kidney Disease and DiabetesAcute Kidney Injury ResearchDialysis and Renal Disease Management

Chronic Kidney Disease Diagnosis and Management: A Review

Chen, Teresa K., Knicely, Daphne H., Grams, Morgan E.·2019·JAMA

Abstract

Importance: Chronic kidney disease (CKD) is the 16th leading cause of years of life lost worldwide. Appropriate screening, diagnosis, and management by primary care clinicians are necessary to prevent adverse CKD-associated outcomes, including cardiovascular disease, end-stage kidney disease, and death. Observations: Defined as a persistent abnormality in kidney structure or function (eg, glomerular filtration rate [GFR] <60 mL/min/1.73 m2 or albuminuria ≥30 mg per 24 hours) for more than 3 months, CKD affects 8% to 16% of the population worldwide. In developed countries, CKD is most commonly attributed to diabetes and hypertension. However, less than 5% of patients with early CKD report awareness of their disease. Among individuals diagnosed as having CKD, staging and new risk assessment tools that incorporate GFR and albuminuria can help guide treatment, monitoring, and referral strategies. Optimal management of CKD includes cardiovascular risk reduction (eg, statins and blood pressure management), treatment of albuminuria (eg, angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers), avoidance of potential nephrotoxins (eg, nonsteroidal anti-inflammatory drugs), and adjustments to drug dosing (eg, many antibiotics and oral hypoglycemic agents). Patients also require monitoring for complications of CKD, such as hyperkalemia, metabolic acidosis, hyperphosphatemia, vitamin D deficiency, secondary hyperparathyroidism, and anemia. Those at high risk of CKD progression (eg, estimated GFR <30 mL/min/1.73 m2, albuminuria ≥300 mg per 24 hours, or rapid decline in estimated GFR) should be promptly referred to a nephrologist. Conclusions and Relevance: Diagnosis, staging, and appropriate referral of CKD by primary care clinicians are important in reducing the burden of CKD worldwide.

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  • Another CKD-EPI equation that additionally incorporates serum cystatin C increases precision and reduces racial and ethnic bias.

    “Another CKD-EPI equation that additionally incorporates serum cystatin C increases precision and reduces racial and ethnic bias, offering additional value in screening and for confirmation of low eGFR in appropriate cases (23–25).”

    From Diabetes management in chronic kidney disease: a consensus report by the American Diabetes Association (ADA) and Kidney Disease: Improving Global Outcomes (KDIGO) (2022) · cites this paper as [23]

    In “CKD Definition and Staging” (page unavailable), the paper identifies the CKD-EPI creatinine–cystatin C equation and says cystatin C can be added when greater accuracy and precision are needed. It does not say that the equation reduces racial or ethnic bias. Its “Screening for CKD” section discusses creatinine and urine ACR, but does not establish the claimed screening or low-eGFR confirmation benefit for this equation. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

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Research works printed but not linked: 101

  1. [1]Coresh J, Selvin E, Stevens LA, Prevalence of chronic kidney disease in the United States. JAMA. 2007; 298(17): 2038– 2047. doi: 10.1001/jama.298.17.2038 17986697 · DOI · Paper page
  2. [2]Hsu CY, Vittinghoff E, Lin F, Shlipak MG. The incidence of end-stage renal disease is increasing faster than the prevalence of chronic renal insufficiency. Ann Intern Med. 2004; 141(2): 95– 101. doi: 10.7326/0003-4819-141-2-200407200-00007 15262664 · DOI
  3. [3]Plantinga LC, Boulware LE, Coresh J, Patient awareness of chronic kidney disease: trends and predictors. Arch Intern Med. 2008; 168(20): 2268– 2275. doi: 10.1001/archinte.168.20.2268 19001205 PMC2652122 · DOI
  4. [4]Jha V, Garcia-Garcia G, Iseki K, Chronic kidney disease: global dimension and perspectives. Lancet. 2013; 382(9888): 260– 272. doi: 10.1016/S0140-6736(13)60687-X 23727169 · DOI · Paper page
  5. [5]Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl. 2013; 3(1): 1– 150.
  6. [6]Mills KT, Xu Y, Zhang W, A systematic analysis of worldwide population-based data on the global burden of chronic kidney disease in 2010. Kidney Int. 2015; 88(5): 950– 957. doi: 10.1038/ki.2015.230 26221752 PMC4653075 · DOI
  7. [7]Genovese G, Friedman DJ, Ross MD, Association of trypanolytic ApoL1 variants with kidney disease in African Americans. Science. 2010; 329(5993): 841– 845. doi: 10.1126/science.1193032 20647424 PMC2980843 · DOI · Paper page
  8. [8]Tzur S, Rosset S, Shemer R, Missense mutations in the APOL1 gene are highly associated with end stage kidney disease risk previously attributed to the MYH9 gene. Hum Genet. 2010; 128 (3): 345– 350. doi: 10.1007/s00439-010-0861-0 20635188 PMC2921485 · DOI
  9. [9]Naik RP, Derebail VK, Grams ME, Association of sickle cell trait with chronic kidney disease and albuminuria in African Americans. JAMA. 2014; 312(20): 2115– 2125. doi: 10.1001/jama.2014.15063 25393378 PMC4356116 · DOI
  10. [10]O’Seaghdha CM, Parekh RS, Hwang SJ, The MYH9/APOL1 region and chronic kidney disease in European-Americans. Hum Mol Genet. 2011; 20 (12): 2450– 2456. doi: 10.1093/hmg/ddr118 21429915 PMC3098737 · DOI
  11. [11]Grams ME, Rebholz CM, Chen Y, Race, APOL1 risk, and eGFR decline in the general population. J Am Soc Nephrol. 2016; 27(9): 2842– 2850. doi: 10.1681/ASN.2015070763 26966015 PMC5004654 · DOI
  12. [12]Peralta CA, Vittinghoff E, Bansal N, Trajectories of kidney function decline in young black and white adults with preserved GFR: results from the Coronary Artery Risk Development in Young Adults (CARDIA) study. Am J Kidney Dis. 2013; 62(2): 261– 266. doi: 10.1053/j.ajkd.2013.01.012 23473985 PMC3714331 · DOI · Paper page
  13. [13]Grams ME, Chow EK, Segev DL, Coresh J. Lifetime incidence of CKD stages 3–5 in the United States. Am J Kidney Dis. 2013; 62(2): 245– 252. doi: 10.1053/j.ajkd.2013.03.009 23566637 PMC3723711 · DOI
  14. [14]Matsushita K, Coresh J, Sang Y,; CKD Prognosis Consortium. Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data. Lancet Diabetes Endocrinol. 2015; 3(7): 514– 525. doi: 10.1016/S2213-8587(15)00040-6 26028594 PMC4594193 · DOI
  15. [15]Astor BC, Matsushita K, Gansevoort RT,; Chronic Kidney Disease Prognosis Consortium. Lower estimated glomerular filtration 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. doi: 10.1038/ki.2010.550 21289598 PMC3917543 · DOI
  16. [16]Gansevoort RT, Matsushita K, van der Velde M,; Chronic Kidney Disease Prognosis Consortium. Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes: a collaborative meta-analysis of general and high-risk population cohorts. Kidney Int. 2011; 80(1): 93– 104. doi: 10.1038/ki.2010.531 21289597 PMC3959732 · DOI · Paper page
  17. [17]van der Velde M, Matsushita K, Coresh J,; Chronic Kidney Disease Prognosis Consortium. Lower estimated glomerular filtration 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. doi: 10.1038/ki.2010.536 21307840 · DOI
  18. [18]Inker LA, Astor BC, Fox CH, KDOQI US commentary on the 2012 KDIGO clinical practice guideline for the evaluation and management of CKD. Am J Kidney Dis. 2014; 63(5): 713– 735. doi: 10.1053/j.ajkd.2014.01.416 24647050 · DOI
  19. [19]Bilo H, Coentrão L, Couchoud C,; Guideline Development Group. Clinical practice guideline on management of patients with diabetes and chronic kidney disease stage 3b or higher (eGFR <45 mL/min). Nephrol Dial Transplant. 2015; 30(suppl 2): ii1– ii142. doi: 10.1093/ndt/gfv100 25940656 · DOI
  20. [20]Farrington K, Covic A, Aucella F,; ERBP Guideline Development Group. Clinical practice guideline on management of older patients with chronic kidney disease stage 3b or higher (eGFR <45 mL/min/1.73 m2). Nephrol Dial Transplant. 2016; 31(suppl 2): ii1– ii66. doi: 10.1093/ndt/gfw356 27807144 · DOI
  21. [21]Skorecki K, Chertow GM, Marsden PA, Taal MW, Yu ASL. Brenner & Rector’s the Kidney. 10th ed Philadelphia, PA: Elsevier; 2016.
  22. [22]Yang B, Xie Y, Guo M, Rosner MH, Yang H, Ronco C. Nephrotoxicity and Chinese herbal medicine. Clin J Am Soc Nephrol. 2018; 13(10): 1605– 1611. 29615394 PMC6218812
  23. [23]Rocuts AK, Waikar SS, Alexander MP, Rennke HG, Singh AK. Acute phosphate nephropathy. Kidney Int. 2009; 75(9): 987– 991. doi: 10.1038/ki.2008.293 18580858 · DOI
  24. [24]Markowitz GS, Perazella MA. Acute phosphate nephropathy. Kidney Int. 2009; 76(10): 1027– 1034. doi: 10.1038/ki.2009.308 19675530 · DOI
  25. [25]Levey AS, Becker C, Inker LA. Glomerular filtration rate and albuminuria for detection and staging of acute and chronic kidney disease in adults: a systematic review. JAMA. 2015; 313(8): 837– 846. doi: 10.1001/jama.2015.0602 25710660 PMC4410363 · DOI
  26. [26]Brown SC, O’Reilly PH. Iohexol clearance for the determination of glomerular filtration rate in clinical practice: evidence for a new gold standard. J Urol. 1991; 146(3): 675– 679. doi: 10.1016/S0022-5347(17)37891-6 1875470 · DOI
  27. [27]Elwood CM, Sigman EM, Treger C. The measurement of glomerular filtration rate with 125I-sodium iothalamate (Conray). Br J Radiol. 1967; 40(476): 581– 583. doi: 10.1259/0007-1285-40-476-581 4952294 · DOI
  28. [28]Sigman EM, Elwood CM, Knox F. The measurement of glomerular filtration rate in man with sodium iothalamate 131-I (Conray). J Nucl Med. 1966; 7(1): 60– 68. 5907195
  29. [32]Myers GL, Miller WG, Coresh J,; National Kidney Disease Education Program Laboratory Working Group. Recommendations for improving serum creatinine measurement: a report from the Laboratory Working Group of the National Kidney Disease Education Program. Clin Chem. 2006; 52(1): 5– 18. doi: 10.1373/clinchem.2005.0525144 16332993 · DOI
  30. [33]Lieske JC, Bondar O, Miller WG,; National Kidney Disease Education Program–IFCC Working Group on Standardization of Albumin in Urine. A reference system for urinary albumin: current status. Clin Chem Lab Med. 2013; 51(5): 981– 989. doi: 10.1515/cclm-2012-0768 23241608 · DOI
  31. [34]Miller WG, Bruns DE. Laboratory issues in measuring and reporting urine albumin. Nephrol Dial Transplant. 2009; 24(3): 717– 718. doi: 10.1093/ndt/gfp022 19225022 · DOI
  32. [35]Witte EC, Lambers Heerspink HJ, de Zeeuw D, Bakker SJ, de Jong PE, Gansevoort R. First morning voids are more reliable than spot urine samples to assess microalbuminuria. J Am Soc Nephrol. 2009; 20(2): 436– 443. doi: 10.1681/ASN.2008030292 19092125 PMC2637059 · DOI
  33. [36]Rampoldi L, Scolari F, Amoroso A, Ghiggeri G, Devuyst O. The rediscovery of uromodulin (Tamm-Horsfall protein): from tubulointerstitial nephropathy to chronic kidney disease. Kidney Int. 2011; 80(4): 338– 347. doi: 10.1038/ki.2011.134 21654721 · DOI
  34. [37]El-Achkar TM, Wu XR. Uromodulin in kidney injury: an instigator, bystander, or protector? Am J Kidney Dis. 2012; 59(3): 452– 461. doi: 10.1053/j.ajkd.2011.10.054 22277744 PMC3288726 · DOI
  35. [38]Garimella PS, Biggs ML, Katz R, Urinary uromodulin, kidney function, and cardiovascular disease in elderly adults. Kidney Int. 2015; 88(5): 1126– 1134. doi: 10.1038/ki.2015.192 26154925 PMC4653069 · DOI
  36. [39]Bergmann C, Guay-Woodford LM, Harris PC, Horie S, Peters DJM, Torres VE. Polycystic kidney disease. Nat Rev Dis Primers. 2018; 4(1): 50. doi: 10.1038/s41572-018-0047-y 30523303 PMC6592047 · DOI
  37. [40]Torres VE, Chapman AB, Devuyst O,; REPRISE Trial Investigators. Tolvaptan in later-stage autosomal dominant polycystic kidney disease. N Engl J Med. 2017; 377(20): 1930– 1942. doi: 10.1056/NEJMoa1710030 29105594 · DOI · Paper page
  38. [42]Chang AR, Grams ME, Ballew SH,; CKD Prognosis Consortium. Adiposity and risk of decline in glomerular filtration rate: meta-analysis of individual participant data in a global consortium. BMJ. 2019; 364: k5301. doi: 10.1136/bmj.k5301 30630856 PMC6481269 · DOI
  39. [43]Kazancioğlu R Risk factors for chronic kidney disease: an update. Kidney Int Suppl (2011). 2013; 3 (4): 368– 371. doi: 10.1038/kisup.2013.79 25019021 PMC4089662 · DOI
  40. [44]Peralta CA, Bibbins-Domingo K, Vittinghoff E, APOL1 genotype and race differences in incident albuminuria and renal function decline. J Am Soc Nephrol. 2016; 27(3): 887– 893. doi: 10.1681/ASN.2015020124 26180129 PMC4769203 · DOI
  41. [45]Foster MC, Coresh J, Fornage M, APOL1 variants associate with increased risk of CKD among African Americans. J Am Soc Nephrol. 2013; 24(9): 1484– 1491. doi: 10.1681/ASN.2013010113 23766536 PMC3752955 · DOI
  42. [46]Banerjee T, Crews DC, Wesson DE,; CDC CKD Surveillance Team. Food insecurity, CKD, and subsequent ESRD in US adults. Am J Kidney Dis. 2017; 70(1): 38– 47. doi: 10.1053/j.ajkd.2016.10.035 28215947 PMC5765854 · DOI
  43. [48]Kopp JB, Nelson GW, Sampath K, APOL1 genetic variants in focal segmental glomerulosclerosis and HIV-associated nephropathy. J Am Soc Nephrol. 2011; 22(11): 2129– 2137. doi: 10.1681/ASN.2011040388 21997394 PMC3231787 · DOI
  44. [49]Parsa A, Kao WH, Xie D,; AASK Study Investigators; CRIC Study Investigators. APOL1 risk variants, race, and progression of chronic kidney disease. N Engl J Med. 2013; 369(23): 2183– 2196. doi: 10.1056/NEJMoa1310345 24206458 PMC3969022 · DOI
  45. [50]Kidney Disease: Improving Global Outcomes (KDIGO) Lipid Work Group. KDIGO clinical practice guideline for lipid management in chronic kidney disease. Kidney Int Suppl. 2013; 3(3): 259– 305.
  46. [51]Tonelli M, Wanner C; Kidney Disease: Improving Global Outcomes Lipid Guideline Development Work Group Members. Lipid management in chronic kidney disease: synopsis of the Kidney Disease: Improving Global Outcomes 2013 clinical practice guideline. Ann Intern Med. 2014; 160(3): 182. doi: 10.7326/M13-2453 24323134 · DOI · Paper page
  47. [53]Ricardo AC, Anderson CA, Yang W,; CRIC Study Investigators. Healthy lifestyle and risk of kidney disease progression, atherosclerotic events, and death in CKD: findings from the Chronic Renal Insufficiency Cohort (CRIC) study. Am J Kidney Dis. 2015; 65(3): 412– 424. doi: 10.1053/j.ajkd.2014.09.016 25458663 PMC4339665 · DOI
  48. [54]James PA, Oparil S, Carter BL, 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA. 2014; 311(5): 507– 520. doi: 10.1001/jama.2013.284427 24352797 · DOI · Paper page
  49. [55]Wright JT Jr, Williamson JD, Whelton PK,; SPRINT Research Group. A randomized trial of intensive versus standard blood-pressure control. N Engl J Med. 2015; 373(22): 2103– 2116. doi: 10.1056/NEJMoa1511939 26551272 PMC4689591 · DOI · Paper page
  50. [56]Zhang WR, Craven TE, Malhotra R,; SPRINT Research Group. Kidney damage biomarkers and incident chronic kidney disease during blood pressure reduction: a case-control study. Ann Intern Med. 2018; 169(9): 610– 618. doi: 10.7326/M18-1037 30357395 PMC6953744 · DOI
  51. [57]Cheung AK, Rahman M, Reboussin DM,; SPRINT Research Group. Effects of intensive BP control in CKD. J Am Soc Nephrol. 2017; 28(9): 2812– 2823. doi: 10.1681/ASN.2017020148 28642330 PMC5576945 · DOI
  52. [58]Whelton PK, Carey RM, Aronow WS, 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2018; 71(19): e127– e248. doi: 10.1016/j.jacc.2017.11.006 29146535 · DOI · Paper page
  53. [59]Fried LF, Emanuele N, Zhang JH,; VA NEPHRON-D Investigators. Combined angiotensin inhibition for the treatment of diabetic nephropathy. N Engl J Med. 2013; 369(20): 1892– 1903. doi: 10.1056/NEJMoa1303154 24206457 · DOI · Paper page
  54. [60]Williams B, MacDonald TM, Morant S,; British Hypertension Society’s PATHWAY Studies Group. Spironolactone versus placebo, bisoprolol, and doxazosin to determine the optimal treatment for drug-resistant hypertension (PATHWAY-2): a randomised, double-blind, crossover trial. Lancet. 2015; 386(10008): 2059– 2068. doi: 10.1016/S0140-6736(15)00257-3 26414968 PMC4655321 · DOI · Paper page
  55. [63]Ando K, Ohtsu H, Uchida S, Kaname S, Arakawa Y, Fujita T; EVALUATE Study Group. Anti-albuminuric effect of the aldosterone blocker eplerenone in non-diabetic hypertensive patients with albuminuria: a double-blind, randomised, placebo-controlled trial. Lancet Diabetes Endocrinol. 2014; 2(12): 944– 953. doi: 10.1016/S2213-8587(14)70194-9 25466242 · DOI
  56. [64]Bakris GL, Agarwal R, Chan JC,; Mineralocorticoid Receptor Antagonist Tolerability Study–Diabetic Nephropathy Study Group. Effect of finerenone on albuminuria in patients with diabetic nephropathy: a randomized clinical trial. JAMA. 2015; 314(9): 884– 894. doi: 10.1001/jama.2015.10081 26325557 · DOI · Paper page
  57. [65]Shurraw S, Hemmelgarn B, Lin M,; Alberta Kidney Disease Network. Association between glycemic control and adverse outcomes in people with diabetes mellitus and chronic kidney disease: a population-based cohort study. Arch Intern Med. 2011; 171(21): 1920– 1927. doi: 10.1001/archinternmed.2011.537 22123800 · DOI
  58. [66]Nathan DM, Zinman B, Cleary PA,; Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Research Group. Modern-day clinical course of type 1 diabetes mellitus after 30 years’ duration: the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications and Pittsburgh Epidemiology of Diabetes Complications experience (1983–2005). Arch Intern Med. 2009; 169(14): 1307– 1316. doi: 10.1001/archinternmed.2009.193 19636033 PMC2866072 · DOI · Paper page
  59. [69]Neal B, Perkovic V, Mahaffey KW,; CANVAS Program Collaborative Group. Canagliflozin and cardiovascular and renal events in type 2 diabetes. N Engl J Med. 2017; 377(7): 644– 657. doi: 10.1056/NEJMoa1611925 28605608 · DOI · Paper page
  60. [71]Lazarus B, Chen Y, Wilson FP, Proton pump inhibitor use and the risk of chronic kidney disease. JAMA Intern Med. 2016; 176(2): 238– 246. doi: 10.1001/jamainternmed.2015.7193 26752337 PMC4772730 · DOI
  61. [72]Muriithi AK, Leung N, Valeri AM, Biopsy-proven acute interstitial nephritis, 1993–2011: a case series. Am J Kidney Dis. 2014; 64 (4): 558– 566. doi: 10.1053/j.ajkd.2014.04.027 24927897 · DOI · Paper page
  62. [73]Blank ML, Parkin L, Paul C, Herbison P. A nationwide nested case-control study indicates an increased risk of acute interstitial nephritis with proton pump inhibitor use. Kidney Int. 2014; 86(4): 837– 844. doi: 10.1038/ki.2014.74 24646856 PMC4184187 · DOI
  63. [74]Palacio-Lacambra ME, Comas-Reixach I, Blanco-Grau A, Suñé-Negre JM, Segarra-Medrano A, Montoro-Ronsano JB. Comparison of the Cockcroft-Gault, MDRD and CKD-EPI equations for estimating ganciclovir clearance. Br J Clin Pharmacol. 2018; 84(9): 2120– 2128. doi: 10.1111/bcp.13647 29791023 PMC6089827 · DOI
  64. [75]Okparavero AA, Tighiouart H, Krishnasami Z, Use of glomerular filtration rate estimating equations for drug dosing in HIV-positive patients. Antivir Ther. 2013; 18(6): 793– 802. doi: 10.3851/IMP2676 23963249 PMC4018994 · DOI
  65. [76]Chan KE, Giugliano RP, Patel MR, Nonvitamin K anticoagulant agents in patients with advanced chronic kidney disease or on dialysis with AF. J Am Coll Cardiol. 2016; 67(24): 2888– 2899. doi: 10.1016/j.jacc.2016.02.082 27311528 · DOI
  66. [77]Chapin E, Zhan M, Hsu VD, Seliger SL, Walker LD, Fink JC. Adverse safety events in chronic kidney disease: the frequency of “multiple hits”. Clin J Am Soc Nephrol. 2010; 5(1): 95– 101. doi: 10.2215/CJN.06210909 19965526 PMC2801657 · DOI
  67. [78]Dreisbach AW, Lertora JJ. The effect of chronic renal failure on drug metabolism and transport. Expert Opin Drug Metab Toxicol. 2008; 4(8): 1065– 1074. doi: 10.1517/17425255.4.8.1065 18680441 PMC2745294 · DOI
  68. [79]Fink JC, Brown J, Hsu VD, Seliger SL, Walker L, Zhan M. CKD as an underrecognized threat to patient safety. Am J Kidney Dis. 2009; 53(4): 681– 688. doi: 10.1053/j.ajkd.2008.12.016 19246142 PMC3710448 · DOI
  69. [80]Bahrainwala JZ, Leonberg-Yoo AK, Rudnick MR. Use of radiocontrast agents in CKD and ESRD. Semin Dial. 2017; 30(4): 290– 304. doi: 10.1111/sdi.12593 28382626 · DOI
  70. [81]Abu-Alfa AK. Nephrogenic systemic fibrosis and gadolinium-based contrast agents. Adv Chronic Kidney Dis. 2011; 18(3): 188– 198. doi: 10.1053/j.ackd.2011.03.001 21531325 · DOI
  71. [82]Perazella MA. Advanced kidney disease, gadolinium and nephrogenic systemic fibrosis: the perfect storm. Curr Opin Nephrol Hypertens. 2009; 18(6): 519– 525. doi: 10.1097/MNH.0b013e3283309660 19623065 · DOI
  72. [84]Menon V, Kopple JD, Wang X, Effect of a very low-protein diet on outcomes: long-term follow-up of the Modification of Diet in Renal Disease (MDRD) study. Am J Kidney Dis. 2009; 53 (2): 208– 217. doi: 10.1053/j.ajkd.2008.08.009 18950911 · DOI
  73. [85]Robertson L, Waugh N, Robertson A. Protein restriction for diabetic renal disease. Cochrane Database Syst Rev. 2007;(4): CD002181. 17943769 PMC8984680
  74. [86]Rosman JB, ter Wee PM, Meijer S, Piers-Becht TP, Sluiter WJ, Donker AJ. Prospective randomised trial of early dietary protein restriction in chronic renal failure. Lancet. 1984; 2(8415): 1291– 1296. doi: 10.1016/S0140-6736(84)90818-3 6150320 · DOI
  75. [87]Hansen HP, Christensen PK, Tauber-Lassen E, Klausen A, Jensen BR, Parving HH. Low-protein diet and kidney function in insulin-dependent diabetic patients with diabetic nephropathy. Kidney Int. 1999; 55(2): 621– 628. doi: 10.1046/j.1523-1755.1999.00274.x 9987086 · DOI
  76. [88]Hansen HP, Tauber-Lassen E, Jensen BR, Parving HH. Effect of dietary protein restriction on prognosis in patients with diabetic nephropathy. Kidney Int. 2002; 62(1): 220– 228. doi: 10.1046/j.1523-1755.2002.00421.x 12081581 · DOI
  77. [89]Knight EL, Stampfer MJ, Hankinson SE, Spiegelman D, Curhan GC. The impact of protein intake on renal function decline in women with normal renal function or mild renal insufficiency. Ann Intern Med. 2003; 138(6): 460– 467. doi: 10.7326/0003-4819-138-6-200303180-00009 12639078 · DOI · Paper page
  78. [90]Goraya N, Simoni J, Jo C, Wesson DE. Dietary acid reduction with fruits and vegetables or bicarbonate attenuates kidney injury in patients with a moderately reduced glomerular filtration rate due to hypertensive nephropathy. Kidney Int. 2012; 81(1): 86– 93. doi: 10.1038/ki.2011.313 21881553 · DOI
  79. [91]Banerjee T, Crews DC, Wesson DE,; Centers for Disease Control and Prevention Chronic Kidney Disease Surveillance Team. High dietary acid load predicts ESRD among adults with CKD. J Am Soc Nephrol. 2015; 26(7): 1693– 1700. doi: 10.1681/ASN.2014040332 25677388 PMC4483581 · DOI
  80. [92]Inker LA, Grams ME, Levey AS,; CKD Prognosis Consortium. Relationship of estimated GFR and albuminuria to concurrent laboratory abnormalities: an individual participant data meta-analysis in a global consortium. Am J Kidney Dis. 2019; 73(2): 206– 217. doi: 10.1053/j.ajkd.2018.08.013 30348535 PMC6348050 · DOI
  81. [93]Kidney Disease: Improving Global Outcomes (KDIGO) Anemia Work Group. KDIGO clinical practice guideline for anemia in chronic kidney disease. Kidney Int Suppl. 2012; 2(4): 279– 335.
  82. [94]Kidney Disease: Improving Global Outcomes (KDIGO) CKD-MBD Update Work Group. KDIGO 2017 clinical practice guideline update for the diagnosis, evaluation, prevention, and treatment of chronic kidney disease–mineral and bone disorder (CKD-MBD). Kidney Int Suppl (2011). 2017; 7(1): 1– 59. doi: 10.1016/j.kisu.2017.04.001 30675420 PMC6340919 · DOI
  83. [95]Isakova T, Nickolas TL, Denburg M, KDOQI US commentary on the 2017 KDIGO clinical practice guideline update for the diagnosis, evaluation, prevention, and treatment of chronic kidney disease–mineral and bone disorder (CKD-MBD). Am J Kidney Dis. 2017; 70(6): 737– 751. doi: 10.1053/j.ajkd.2017.07.019 28941764 · DOI
  84. [96]de Brito-Ashurst I, Varagunam M, Raftery MJ, Yaqoob MM. Bicarbonate supplementation slows progression of CKD and improves nutritional status. J Am Soc Nephrol. 2009; 20(9): 2075– 2084. doi: 10.1681/ASN.2008111205 19608703 PMC2736774 · DOI
  85. [97]Dobre M, Yang W, Chen J,; CRIC Investigators. Association of serum bicarbonate with risk of renal and cardiovascular outcomes in CKD: a report from the Chronic Renal Insufficiency Cohort (CRIC) study. Am J Kidney Dis. 2013; 62(4): 670– 678. doi: 10.1053/j.ajkd.2013.01.017 23489677 PMC3701754 · DOI
  86. [98]Driver TH, Shlipak MG, Katz R, Low serum bicarbonate and kidney function decline: the Multi-Ethnic Study of Atherosclerosis (MESA). Am J Kidney Dis. 2014; 64(4): 534– 541. doi: 10.1053/j.ajkd.2014.05.008 24953891 PMC4177290 · DOI
  87. [99]Mahajan A, Simoni J, Sheather SJ, Broglio KR, Rajab MH, Wesson DE. Daily oral sodium bicarbonate preserves glomerular filtration rate by slowing its decline in early hypertensive nephropathy. Kidney Int. 2010; 78(3): 303– 309. doi: 10.1038/ki.2010.129 20445497 · DOI
  88. [101]Keith DS, Nichols GA, Gullion CM, Brown JB, Smith DH. Longitudinal follow-up and outcomes among a population with chronic kidney disease in a large managed care organization. Arch Intern Med. 2004; 164(6): 659– 663. doi: 10.1001/archinte.164.6.659 15037495 · DOI
  89. [102]Tangri N, Stevens LA, Griffith J, A predictive model for progression of chronic kidney disease to kidney failure. JAMA. 2011; 305 (15): 1553– 1559. doi: 10.1001/jama.2011.451 21482743 · DOI
  90. [103]Hingwala J, Wojciechowski P, Hiebert B, Risk-based triage for nephrology referrals using the kidney failure risk equation. Can J Kidney Health Dis. 2017; 4: 2054358117722782. doi: 10.1177/2054358117722782 PMC5555495 28835850 · DOI
  91. [104]Smekal MD, Tam-Tham H, Finlay J, Patient and provider experience and perspectives of a risk-based approach to multidisciplinary chronic kidney disease care: a mixed methods study. BMC Nephrol. 2019; 20(1): 110. doi: 10.1186/s12882-019-1269-2 30922254 PMC6440153 · DOI
  92. [105]Harasemiw O, Drummond N, Singer A, Integrating risk-based care for patients with chronic kidney disease in the community: study protocol for a cluster randomized trial. Can J Kidney Health Dis. 2019; 6: 2054358119841611. doi: 10.1177/2054358119841611 PMC6542158 31191908 · DOI
  93. [106]Grams ME, Sang Y, Ballew SH, Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate. Kidney Int. 2018; 93(6): 1442– 1451. doi: 10.1016/j.kint.2018.01.009 29605094 PMC5967981 · DOI
  94. [107]Eckardt KU, Bansal N, Coresh J,; Conference Participants. Improving the prognosis of patients with severely decreased glomerular filtration rate (CKD G4+): conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int. 2018; 93(6): 1281– 1292. doi: 10.1016/j.kint.2018.02.006 29656903 PMC5998808 · DOI
  95. [108]Cooper BA, Branley P, Bulfone L,; IDEAL Study. A randomized, controlled trial of early versus late initiation of dialysis. N Engl J Med. 2010; 363 (7): 609– 619. doi: 10.1056/NEJMoa1000552 20581422 · DOI
  96. [109]Daugirdas JT, Blake BG, Ing TS, eds. Handbook of Dialysis. 4th ed Philadelphia, PA: Lippincott Williams & Wilkins; 2007.
  97. [110]Mange KC, Joffe MM, Feldman HI. Effect of the use or nonuse of long-term dialysis on the subsequent survival of renal transplants from living donors. N Engl J Med. 2001; 344(10): 726– 731. doi: 10.1056/NEJM200103083441004 11236776 · DOI
  98. [111]Terasaki PI, Cecka JM, Gjertson DW, Takemoto S. High survival rates of kidney transplants from spousal and living unrelated donors. N Engl J Med. 1995; 333(6): 333– 336. doi: 10.1056/NEJM199508103330601 7609748 · DOI
  99. [114]National Kidney Foundation. KDOQI Clinical Practice Guideline For Vascular Access: 2018. https://www.kidney.org/sites/default/files/kdoqi_vasc-access-review2019_v2.pdf. Published April 2019 Accessed August 13, 2019. 32778223
  100. [115]Couchoud CG, Beuscart JB, Aldigier JC, Brunet PJ, Moranne OP; REIN Registry. Development of a risk stratification algorithm to improve patient-centered care and decision making for incident elderly patients with end-stage renal disease. Kidney Int. 2015; 88(5): 1178– 1186. doi: 10.1038/ki.2015.245 26331408 · DOI
  101. [116]Kurella Tamura M, Covinsky KE, Chertow GM, Yaffe K, Landefeld CS, McCulloch CE. Functional status of elderly adults before and after initiation of dialysis. N Engl J Med. 2009; 361(16): 1539– 1547. doi: 10.1056/NEJMoa0904655 19828531 PMC2789552 · DOI · Paper page

Cited by

Sorted by citations

Authors
Chen, T. K., Knicely, D. H., & Grams, M. E.
Affiliations
Johns Hopkins University (US)
Venue
JAMA
Published
2019-10-01
Volume
322
Issue
13
Pages
1294
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2977682063
Cited by
1,811
References
11
Citations by year
2026: 244 · 2025: 377 · 2024: 390 · 2023: 329 · 2022: 245 · 2021: 156 · 2020: 66 · 2019: 2 · 2018: 2
FWCI
18.34
Type
journal article
Language
en
Open access
closed
Locations
  • JAMA (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Diabetes and Digestive and Kidney Diseases (K08DK117068, P30DK079310, R01DK100446, R01DK115534, R01DK108803)
Topics
  • Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
  • Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
  • Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
Keywords
chronic kidney disease, CKD diagnosis, CKD staging, glomerular filtration rate, albuminuria, cardiovascular risk reduction, renin-angiotensin system inhibitors, nephrotoxins, dose adjustment, CKD complications, hyperkalemia, secondary hyperparathyroidism, anemia, nephrology referral, primary care, chronic kidney disease progression
MeSH terms
Glomerular Filtration Rate, Humans, Hypertension, Prognosis, Referral and Consultation, Disease Progression, Risk Assessment, Diabetes Complications, Renal Insufficiency, Chronic

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