• ISSN 16748301
  • CN 32-1810/R
Volume 33 Issue 1
Jan.  2019
Article Contents

Citation:

Accuracy of glomerular filtration rate estimation equations in patients with hematopathy

  • Corresponding author: Weihong Zhao, email:zhaoweihongny@njmu.edu.cn
  • Received Date: 2016-12-29
    Accepted Date: 2017-05-20

    Fund Project: This work was supported by the grants from the Major State Basic Research Development Program of China 2013CB530803, the National Natural Science Foundation of China H0511-81370843 and H0511-81670677, Chinese Society of Nephrology (1502002-0590), the Innovation of Science and Technology Achievement Transformation Fund of Jiangsu Province BL2012066, the Chinese Medical Association of Clinical Medicine Research Special Funds 15020020-590, a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions JX10231801.

  • Renal dysfunction is a common side-effect of chemotherapeutic agents in patients with hematopathy. Althoughbroadly used, glomerular filtration rate (GFR) estimation equations were not fully validated in this specific population. Thus, this study was designed to further assess the accuracy of various GFR equations, including the newly 2012 CKD-EPI equations. Referring to 99mTc-DTPA clearance method, three Scr-based (MDRD, Peking, and CKD-EPIScr), three Scys C-based (Steven 1, Steven 2, and CKD-EPIScys C), and three Scr-Scys C combination based (Ma, Steven 3, and CKD-EPIScr-Scys C) equations were included. Bias, P30, and misclassification rate were applied to compare the applicability of the selected equations. A total of 180 Chinese hematological patients were enrolled. Mean bias, absolute mean bias, P30, misclassification rate and Bland Altman plots of the CKD-EPIScr-Scys C equation were 7.90 mL/minute/1.73 m2, 17.77 mL/minute/1.73 m2, 73.3%, 38% and 79.7 mL/minute/1.73 m2, respectively. CKD-EPIScr-Scys C predicted the most precise eGFR both in lymphoma and leukemia subgroups. Additionally, CKDEPI Scys C equation in the rGFR ≧ 90 mL/minute/1.73 m2 subgroup and Steven 2 equation in the rGFR < 90 mL/ minute/1.73 m2 subgroup provided more accurate estimates in each subgroup. The CKD-EPIScr-Scys C equation could be recommended to monitor kidney function in hematopathy patients. The accuracy of GFR equations may be closely related with GFR level and kidney function markers, but not the primary cause of hematopathy.
  • 加载中
  • [1] Tangri N, Stevens LA, Griffith J, et al. A predictive model for progression of chronic kidney disease to kidney failure[J]. JAMA, 2011, 305(15):1553-1559.
    [2] Zhang QL, Rothenbacher D. Prevalence of chronic kidney disease in population-based studies:systematic review[J]. BMC Public Health, 2008, 8:117.
    [3] Zhang L, Wang F, Wang L, et al. Prevalence of chronic kidney disease in China:a cross-sectional survey[J]. Lancet, 2012, 379(9818):815-822.
    [4] Kolvek G, Podracka L, Rosenberger J, et al. Solitary functioning kidney in children-a follow-up study[J]. Kidney Blood Press Res, 2014, 39(4):272-278.
    [5] Johansson M, Moonen M. Prediction of post-operative glomerular filtration rate after nephrectomy for renal malignancy[J]. Clin Physiol, 2001, 21(6):688-692.
    [6] Tanaka N, Fujimoto K, Tani M, et al. Prediction of postoperative renal function by preoperative serum creatinine level and three-dimensional diagnostic image reconstruction in patients with renal cell carcinoma[J]. Urology, 2004, 64(5):904-908.
    [7] Knight EL, Verhave JC, Spiegelman D, et al. Factors influencing serum cystatin C levels other than renal function and the impact on renal function measurement[J]. Kidney Int, 2004, 65(4):1416-1421.
    [8] Laterza OF, Price CP, Scott MG. Cystatin C:an improved estimator of glomerular filtration rate[J]? Clin Chem, 2002, 48(5):699-707.
    [9] Heikkinen JO, Kuikka JT, Ahonen AK, et al. Quality of dynamic radionuclide renal imaging:multicentre evaluation using a functional renal phantom[J]. Nucl Med Commun, 2001, 22(9):987-995.
    [10] Gates GF. Computation of glomerular filtration rate with Tc-99m DTPA:an in-house computer program[J]. J Nucl Med, 1984, 25(5):613-618.
    [11] Levey AS, Bosch JP, Lewis JB, et al., and the Modification of Diet in Renal Disease Study Group. A more accurate method to estimate glomerular filtration rate from serum creatinine:a new prediction equation[J]. Ann Intern Med, 1999, 130(6):461-470.
    [12] Brenner BM, Mackenzie HS. Nephron mass as a risk factor for progression of renal disease[J]. Kidney Int Suppl, 1997, 63:S124-S127.
    [13] Kidney Disease:Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease[J]. Kidney Int, Suppl 3:1-150.
    [14] Hoy WE, Hughson MD, Singh GR, et al. Reduced nephron number and glomerulomegaly in Australian Aborigines:a group at high risk for renal disease and hypertension[J]. Kidney Int, 2006, 70(1):104-110.
    [15] Keller G, Zimmer G, Mall G, et al. Nephron number in patients with primary hypertension[J]. N Engl J Med, 2003, 348(2):101-108.
    [16] Hughson MD, Douglas-Denton R, Bertram JF, et al. Hypertension, glomerular number, and birth weight in African Americans and white subjects in the southeastern United States[J]. Kidney Int, 2006, 69(4):671-678.
    [17] Siomou E, Giapros V, Papadopoulou F, et al. Growth and function in childhood of a normal solitary kidney from birth or from early infancy[J]. Pediatr Nephrol, 2014, 29(2):249-256.
    [18] Bertram JF, Douglas-Denton RN, Diouf B, et al. Human nephron number:implications for health and disease[J]. Pediatr Nephrol, 2011, 26(9):1529-1533.
    [19] Heikkinen JO, Kuikka JT, Ahonen AK, et al. Quality of dynamic radionuclide renal imaging:multicentre evaluation using a functional renal phantom[J]. Nucl Med Commun, 2001, 22(9):987-995.
    [20] Gates GF. Computation of glomerular filtration rate with Tc-99m DTPA:an in-house computer program[J]. J Nucl Med, 1984, 25(5):613-618.
    [21] Levey AS, Bosch JP, Lewis JB, et al., and the Modification of Diet in Renal Disease Study Group. A more accurate method to estimate glomerular filtration rate from serum creatinine:a new prediction equation[J]. Ann Intern Med, 1999, 130(6):461-470.
    [22] Ma YC, Zuo L, Chen JH, et al. Modified glomerular filtration rate estimating equation for Chinese patients with chronic kidney disease[J]. J Am Soc Nephrol, 2006, 17(10):2937-2944.
    [23] 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[J]. Am J Kidney Dis, 2008, 51(3):395-406.
    [24] Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate[J]. Ann Intern Med, 2009, 150(9):604-612.
    [25] Inker LA, Schmid CH, Tighiouart H, et al. Estimating glomerular filtration rate from serum creatinine and cystatin C[J]. N Engl J Med, 2012, 367(1):20-29.
    [26] Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement[J]. Lancet, 1986, 1(8476):307-310.
    [27] Kitiyakara C, Atichartakarn V. Renal failure associated with a specific inhibitor of BCR-ABL tyrosine kinase, STI 571[J]. Nephrol Dial Transplant, 2002, 17(4):685-687.
    [28] Foringer JR, Verani RR, Tjia VM, et al. Acute renal failure secondary to imatinib mesylate treatment in prostate cancer[J]. Ann Pharmacother, 2005, 39(12):2136-2138.
    [29] Pinder EM, Atwal GS, Ayantunde AA, et al. Tumour lysis syndrome occurring in a patient with metastatic gastrointestinal stromal tumour treated with glivec (imatinib mesylate, Gleevec, STI571)[J]. Sarcoma 2007; 2007:82012.
    [30] Al-Kali A, Farooq S, Tfayli A. Tumor lysis syndrome after starting treatment with Gleevec in a patient with chronic myelogenous leukemia[J]. J Clin Pharm Ther, 2009, 34(5):607-610.
    [31] Pou M, Saval N, Vera M, et al. Acute renal failure secondary to imatinib mesylate treatment in chronic myeloid leukemia[J]. Leuk Lymphoma, 2003, 44(7):1239-1241.
    [32] Vora A, Bhutani M, Sharma A, et al. Severe tumor lysis syndrome during treatment with STI 571 in a patient with chronic myelogenous leukemia accelerated phase[J]. Ann Oncol, 2002, 13(11):1833-1834.
    [33] Naughton CA. Drug-induced nephrotoxicity[J]. Am Fam Physician, 2008, 78(6):743-750.
    [34] Stevens LA, Coresh J, Greene T, et al. Assessing kidney function-measured and estimated glomerular filtration rate[J]. N Engl J Med, 2006, 354(23):2473-2483.
    [35] Sarnak MJ, Levey AS, Schoolwerth AC, et al. Kidney disease as a risk factor for development of cardiovascular disease:a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention[J]. Hypertension, 2003, 42(5):1050-1065.
    [36] Go AS, Chertow GM, Fan D, et al. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization[J]. N Engl J Med, 2004, 351(13):1296-1305.
    [37] Holweger K, Bokemeyer C, Lipp HP. Accurate measurement of individual glomerular filtration rate in cancer patients:an ongoing challenge[J]. J Cancer Res Clin Oncol, 2005, 131(9):559-567.
    [38] Levey AS, Coresh J. Chronic kidney disease[J]. Lancet, 2012, 379(9811):165-180.
    [39] .National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease:evaluation, classification, and stratification[J]. Am J Kidney Dis, 2012, 39(Suppl. 1):81-100.
    [40] 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[J]. JAMA, 2012, 307(18):1941-1951.
    [41] Shaffi K, Uhlig K, Perrone RD, et al. Performance of creatininebased GFR estimating equations in solid-organ transplant recipients[J]. Am J Kidney Dis, 2014, 63(6):1007-1018.
    [42] Xie P, Huang JM, Liu XM, et al. (99m)Tc-DTPA renal dynamic imaging method may be unsuitable to be used as the reference method in investigating the validity of CDK-EPI equation for determining glomerular filtration rate[J]. PLoS One, 2013, 8(5):e62328.
    [43] Pei XH, He J, Liu Q, et al. Evaluation of serum creatinine-and cystatin C-based equations for the estimation of glomerular filtration rate in a Chinese population[J]. Scand J Urol Nephrol, 2012, 46(3):223-231.
    [44] Pei X, Liu Q, He J, et al. Are cystatin C-based equations superior to creatinine-based equations for estimating GFR in Chinese elderly population[J]? Int Urol Nephrol, 2012, 44(6):1877-1884.
    [45] Pei X, He J, Wu J, et al. Diagnostic accuracy of serum cystatin C evaluating kidney function in Chinese general population[J]. J Nephrol, 2012, 20(6):579
    [46] Ye X, Wei L, Pei X, et al. Application of creatinine-and/or cystatin C-based glomerular filtration rate estimation equations in elderly Chinese[J]. Clin Interv Aging, 2014, 9:1539-1549.
    [47] Zhu Y, Ye X, Zhu B, et al. Comparisons between the 2012 new CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) equations and other four approved equations[J]. PLoS One, 2014, 9(1):e84688.
    [48] Wei L, Ye X, Pei X, et al. Diagnostic accuracy of serum cystatin C in chronic kidney disease:a meta-analysis[J]. Clin nephrol, 2015; ID:108525-1.
  • 加载中

Article Metrics

Article views(17) PDF downloads(2) Cited by()

Related
Proportional views
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Accuracy of glomerular filtration rate estimation equations in patients with hematopathy

    Corresponding author: Weihong Zhao, email:zhaoweihongny@njmu.edu.cn
  • 1 Division of Nephrology, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China;
  • 2 Division of Respiratory Medicine, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
Fund Project:  This work was supported by the grants from the Major State Basic Research Development Program of China 2013CB530803, the National Natural Science Foundation of China H0511-81370843 and H0511-81670677, Chinese Society of Nephrology (1502002-0590), the Innovation of Science and Technology Achievement Transformation Fund of Jiangsu Province BL2012066, the Chinese Medical Association of Clinical Medicine Research Special Funds 15020020-590, a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions JX10231801.

Abstract: Renal dysfunction is a common side-effect of chemotherapeutic agents in patients with hematopathy. Althoughbroadly used, glomerular filtration rate (GFR) estimation equations were not fully validated in this specific population. Thus, this study was designed to further assess the accuracy of various GFR equations, including the newly 2012 CKD-EPI equations. Referring to 99mTc-DTPA clearance method, three Scr-based (MDRD, Peking, and CKD-EPIScr), three Scys C-based (Steven 1, Steven 2, and CKD-EPIScys C), and three Scr-Scys C combination based (Ma, Steven 3, and CKD-EPIScr-Scys C) equations were included. Bias, P30, and misclassification rate were applied to compare the applicability of the selected equations. A total of 180 Chinese hematological patients were enrolled. Mean bias, absolute mean bias, P30, misclassification rate and Bland Altman plots of the CKD-EPIScr-Scys C equation were 7.90 mL/minute/1.73 m2, 17.77 mL/minute/1.73 m2, 73.3%, 38% and 79.7 mL/minute/1.73 m2, respectively. CKD-EPIScr-Scys C predicted the most precise eGFR both in lymphoma and leukemia subgroups. Additionally, CKDEPI Scys C equation in the rGFR ≧ 90 mL/minute/1.73 m2 subgroup and Steven 2 equation in the rGFR < 90 mL/ minute/1.73 m2 subgroup provided more accurate estimates in each subgroup. The CKD-EPIScr-Scys C equation could be recommended to monitor kidney function in hematopathy patients. The accuracy of GFR equations may be closely related with GFR level and kidney function markers, but not the primary cause of hematopathy.

    HTML

Reference (48)

Catalog

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return