Conclusion. The equations developed in this study provide a more accurate estimate of GFR, ranging from normal to renal impairment, in both Chinese diabetic and non-diabetic patients, compared to currently available GFR formulae. / Hypothesis/objectives. Type 2 diabetes mellitus is a major health burden associated with increased morbidity and mortality as well as socio-economic impact. A rapid increase in disease prevalence has been reported and predicted in China and other Asian countries. Patients with low and declining GFR and microalbuminuria are at high CVD risk. A simple and precise predictive equation of GFR for Chinese diabetic patients is essential in the light of the growing epidemic of diabetes and CKD in Chinese population both for monitoring and treatment purposes. In this pilot study, a set of accurate, simple and clinically practical equations to predict GFR in Chinese type 2 diabetic patients was established. Their performance was validated using separate samples of diabetic and non-diabetic subjects and compared with other widely used GFR formulae. / Methods. 202 type 2 diabetic patient and 46 non-diabetic patients were enrolled in the study. Of these 135 were randomly selected as the training sample; the remaining 67 diabetic patients and 46 non-diabetic patients constituted 2 validation groups. The prediction equation was developed by stepwise regression applied to the training sample. The equation was then tested and compared with other prediction equation including MDRD and CG equations in the validation samples. / Results. Independent factors associated with GFR included age, serum creatinine concentration, serum urea nitrogen level and serum albumin levels (P < 0.005 for all factors). Two predictive formulae, sRFCD and RFCD, were established. Simplified Renal formula in Chinese Diabetes (sRFCD) Study (ml/min/1.73 m2) is: GFR (for men) = 90400 x (Age)-0.495 (yr) x [ SCr]-1.097 (mumol/l) GFR (for women) = 58983 x (Age)-0.542 (yr) x [SCr]-1.012 (mumol/l) and Renal formula in Chinese Diabetes (RFCD) Study (ml/min/1.73 m2) is: GFR (for men) = 11825 x (Age)-0.494 x [SCr]-1.059 (mumol/l) x [Alb]+0.485 (g/l) GFR (for women) = 34166 x ( Age)-0.489 x [SCr] -0.877 (mumol/l) x [SUN] -0.150 (mmol/l) The multiple regression model explained 89.9% and 89.4% respectively of the variance in the logarithm of GFR. Compared to other GFR formulae, the sRFCD and RFCD formulae showed less bias and were more precise and accurate in estimating GFR in diabetic patients whereas the sRFCD and MDRD formulae showed better performance in non-diabetic patients. / Leung Tak Kei. / "July 2006." / Adviser: Juliana C. N. Chan. / Source: Dissertation Abstracts International, Volume: 68-08, Section: B, page: 5117. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (p. 161-180). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_343822 |
| Date | January 2006 |
| Contributors | Leung, Tak Kei., Chinese University of Hong Kong Graduate School. Division of Medical Sciences. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, theses |
| Format | electronic resource, microform, microfiche, 1 online resource (xvi, 181 p. : ill.) |
| Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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