Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate
| Autor: | Matsushita, K, Mahmoodi, Bk, Woodward, M, Emberson, Jr, Jafar, Th, Jee, Sh, Polkinghorne, Kr, Shankar, A, Smith, Dh, Tonelli, M, Warnock, Dg, Wen, Cp, Coresh, J, Gansevoort, Rt, Hemmelgarn, Br, Levey, As, Chronic, Kidney, Disease, Prognosis, Consortium, Wright, J, Appel, Lj, Greene, T, Astor, Bc, Chalmers, J, Macmahon, S, Yatsuya, H, Yamashita, K, Toyoshima, H, Tamakoshi, K, Sang, Y, Atkins, Rc, Chadban, S, Klein, R, Klein, Be, Lee, Ke, Wang, H, Wang, F, Zhang, L, Zuo, L, Levin, A, Djurdjev, O, Sacks, Fm, Curhan, Gc, Shlipak, M, Peralta, C, Katz, R, Fried, Lf, Iso, H, Ohira, T, Kitamura, A, Yamagishi, K, Islam, M, Hatcher, J, Poulter, N, Chaturvedi, N, Landray, Mj, Townend, Jn, Wheeler, Dc, Rothenbacher, D, Brenner, H, Müller, H, Schöttker, B, Fox, Cs, Hwang, Sj, Meigs, Jb, Perkins, Rm, Fluck, N, Clark, Le, Prescott, Gj, Marks, A, Black, C, Cirillo, Massimo, Hallan, S, Aasarød, K, Øien, Cm, Radtke, M, Irie, F, Sairenchi, T, Johnson, Es, Thorp, Ml, Weiss, Jw, Collins, Aj, Li, S, Chen, Sc, Vassalotti, Ja, Lee, Bj, Wetzels, Jf, Blankestijn, Pj, Van, Zuilen, Sarnak, M, Menon, V, Boer, De, Kramer, Hj, Kronenberg, F, Kollerits, B, Ritz, E, Roderick, P, Nitsch, D, Fletcher, A, Bulpitt, C, Ishani, A, Neaton, Jd, Froissart, M, Stengel, B, Metzger, M, Haymann, Jp, Houillier, P, Flamant, M, Ohkubo, T, Nakayama, M, Metoki, H, Kikuya, M, Imai, Y, Iseki, K, Nelson, Rg, Knowler, Wc, Jong, De, Bakker, Sj, Jassal, Sk, Barrett-Connor, E, Bergstrom, J, Heerspink, Hj, Zeeuw, De, D, Brenner, Be, Muntner, P, Judd, S, Mcclellan, W, Kimm, H, Jo, J, Mok, Y, Choi, E, Rossing, P, Parving, Hh, Tangri, N, Naimark, D, Wen, Sf, Tsao, Ck, Tsai, Mk, Ärnlöv, J, Larsson, A, Lannfelt, L, Bilo, Hj, Kleefstra, N, Groenier, Kh, Drion, I, Joosten, H, Ballew, Sh, Grams, M, Camarata, L, Hui, X, Seltzer, J, Winegrad, H. |
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| Přispěvatelé: | Matsushita, K, Mahmoodi, Bk, Woodward, M, Emberson, Jr, Jafar, Th, Jee, Sh, Polkinghorne, Kr, Shankar, A, Smith, Dh, Tonelli, M, Warnock, Dg, Wen, Cp, Coresh, J, Gansevoort, Rt, Hemmelgarn, Br, Levey, A, Chronic, Kidney, Disease, Prognosi, Consortium, Wright, J, Appel, Lj, Greene, T, Astor, Bc, Chalmers, J, Macmahon, S, Yatsuya, H, Yamashita, K, Toyoshima, H, Tamakoshi, K, Sang, Y, Atkins, Rc, Chadban, S, Klein, R, Klein, Be, Lee, Ke, Wang, H, Wang, F, Zhang, L, Zuo, L, Levin, A, Djurdjev, O, Sacks, Fm, Curhan, Gc, Shlipak, M, Peralta, C, Katz, R, Fried, Lf, Iso, H, Ohira, T, Kitamura, A, Yamagishi, K, Islam, M, Hatcher, J, Poulter, N, Chaturvedi, N, Landray, Mj, Townend, Jn, Wheeler, Dc, Rothenbacher, D, Brenner, H, Müller, H, Schöttker, B, Fox, C, Hwang, Sj, Meigs, Jb, Perkins, Rm, Fluck, N, Clark, Le, Prescott, Gj, Marks, A, Black, C, Cirillo, Massimo, Hallan, S, Aasarød, K, Øien, Cm, Radtke, M, Irie, F, Sairenchi, T, Johnson, E, Thorp, Ml, Weiss, Jw, Collins, Aj, Li, S, Chen, Sc, Vassalotti, Ja, Lee, Bj, Wetzels, Jf, Blankestijn, Pj, Van, Zuilen, Ad, Sarnak, M, Menon, V, De, Boer, Ih, Kramer, Hj, Kronenberg, F, Kollerits, B, Ritz, E, Roderick, P, Nitsch, D, Fletcher, A, Bulpitt, C, Ishani, A, Neaton, Jd, Froissart, M, Stengel, B, Metzger, M, Haymann, Jp, Houillier, P, Flamant, M, Ohkubo, T, Nakayama, M, Metoki, H, Kikuya, M, Imai, Y, Iseki, K, Nelson, Rg, Knowler, Wc, De, Jong, Pe, Bakker, Sj, Jassal, Sk, Barrett-Connor, E, Bergstrom, J, Heerspink, Hj, De, Zeeuw, D, Brenner, Be, Muntner, P, Judd, S, Mcclellan, W, Kimm, H, Jo, J, Mok, Y, Choi, E, Rossing, P, Parving, Hh, Tangri, N, Naimark, D, Wen, Sf, Tsao, Ck, Tsai, Mk, Ärnlöv, J, Larsson, A, Lannfelt, L, Bilo, Hj, Kleefstra, N, Groenier, Kh, Drion, I, Joosten, H, Ballew, Sh, Grams, M, Camarata, L, Hui, X, Seltzer, J, Winegrad, H., Cardiovascular Centre (CVC), Groningen Kidney Center (GKC) |
| Rok vydání: | 2012 |
| Předmět: |
CHRONIC KIDNEY-DISEASE
Gerontology Male EVALUATION PROGRAM KEEP Population Renal function Black People Ckd epi equation urologic and male genital diseases Risk Assessment White People Article Decision Support Techniques Cohort Studies Sex Factors Asian People EPIDEMIOLOGY COLLABORATION EQUATION Diabetes mellitus CYSTATIN-C Medicine Humans education ALL-CAUSE MORTALITY Cardiovascular mortality Aged Renal disorder [IGMD 9] GENERAL-POPULATION education.field_of_study business.industry CARDIOVASCULAR RISK Hazard ratio STAGE RENAL-DISEASE General Medicine POPULATION COHORTS Middle Aged Models Theoretical medicine.disease female genital diseases and pregnancy complications Net reclassification improvement SERUM CREATININE VALUES Cardiovascular Diseases Kidney Failure Chronic Female business Algorithms Demography Glomerular Filtration Rate |
| Zdroj: | Jama : Journal of the American Medical Association, 307, 1941-51 Jama : Journal of the American Medical Association, 307, 18, pp. 1941-51 Journal of the American Medical Association, 307(18), 1941-1951. AMER MEDICAL ASSOC |
| ISSN: | 0098-7484 |
| Popis: | Contains fulltext : 110640.pdf (Publisher’s version ) (Closed access) CONTEXT: The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation more accurately estimates glomerular filtration rate (GFR) than the Modification of Diet in Renal Disease (MDRD) Study equation using the same variables, especially at higher GFR, but definitive evidence of its risk implications in diverse settings is lacking. OBJECTIVE: To evaluate risk implications of estimated GFR using the CKD-EPI equation compared with the MDRD Study equation in populations with a broad range of demographic and clinical characteristics. DESIGN, SETTING, AND PARTICIPANTS: A meta-analysis of data from 1.1 million adults (aged >/= 18 years) from 25 general population cohorts, 7 high-risk cohorts (of vascular disease), and 13 CKD cohorts. Data transfer and analyses were conducted between March 2011 and March 2012. MAIN OUTCOME MEASURES: All-cause mortality (84,482 deaths from 40 cohorts), cardiovascular mortality (22,176 events from 28 cohorts), and end-stage renal disease (ESRD) (7644 events from 21 cohorts) during 9.4 million person-years of follow-up; the median of mean follow-up time across cohorts was 7.4 years (interquartile range, 4.2-10.5 years). RESULTS: Estimated GFR was classified into 6 categories (>/=90, 60-89, 45-59, 30-44, 15-29, and /=65 years), sex, race/ethnicity (white, Asian, and black), and presence or absence of diabetes and hypertension. The results in the high-risk and CKD cohorts were largely consistent with the general population cohorts. CONCLUSION: The CKD-EPI equation classified fewer individuals as having CKD and more accurately categorized the risk for mortality and ESRD than did the MDRD Study equation across a broad range of populations. |
| Databáze: | OpenAIRE |
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