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Evaluation of the Framingham Heart Study risk factors and risk score for incident chronic kidney disease at 10 years in a Thai general population

  • Nephrology - Original Paper
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Abstract

Purpose

Asians have some of the highest rates of end-stage renal disease, but there is limited information on the risk factors for chronic kidney disease (CKD) in the Asian general population. A risk score for incident CKD for the general population has been developed from the US Framingham Heart Study (FHS) Offspring cohort. This score has been validated on Caucasians and African-Americans, but has not been tested on Asians. We aimed to assess the importance of the FHS risk factors and the performance of the FHS risk score in predicting incident CKD at 10 years in a Thai community-based population.

Methods

This is a prospective study to evaluate the risk factors and the performance of the FHS risk score comprising of age, diabetes, hypertension, proteinuria, and GFR in predicting incident CKD at 10 years in employees (n = 2568) of the Electric Generating Authority of Thailand.

Results

After excluding subjects with CKD at baseline, 10.4% developed incident CKD defined by the MDRD equation and 10.0% by the CKD-EPI equation. Diabetes, hypertension, and baseline GFR were strong predictors of incident CKD, but proteinuria was not. The agreement between the observed rates and the rates predicted by the FHS risk score was not high (MDRD: χ 2 = 30, P < 0.001; CKD-EPI: χ 2 = 256, P < 0.001), and the discrimination of incident CKD was modest (AUROC (95% CI): MDRD, 0.69 (0.66–0.73); CKD-EPI, 0.63 (0.57–0.65).

Conclusions

Although diabetes, hypertension, and baseline GFR were important risk factors, the FHS risk score might not be sufficiently accurate at estimating incident CKD in an Asian general population.

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References

  1. Jha V, Garcia-Garcia G, Iseki K, Li Z, Naicker S, Plattner B, Saran R, Wang AY, Yang CW (2013) Chronic kidney disease: global dimension and perspectives. Lancet 382(9888):260–272. doi:10.1016/S0140-6736(13)60687-XS0140-6736(13)60687-X

    Article  PubMed  Google Scholar 

  2. Levey AS, Coresh J (2012) Chronic kidney disease. Lancet 379(9811):165–180. doi:10.1016/s0140-6736(11)60178-5

    Article  PubMed  Google Scholar 

  3. Hsu CC, Hwang SJ, Wen CP, Chang HY, Chen T, Shiu RS et al (2006) High prevalence and low awareness of CKD in Taiwan: a study on the relationship between serum creatinine and awareness from a nationally representative survey. Am J Kidney Dis 48:727–738

    Article  CAS  PubMed  Google Scholar 

  4. Ingsathit A, Thakkinstian A, Chaiprasert A, Sangthawan P, Gojaseni P, Kiattisunthorn K, Ongaiyooth L, Vanavanan S, Sirivongs D, Thirakhupt P, Mittal B, Singh AK (2010) Prevalence and risk factors of chronic kidney disease in the Thai adult population: Thai SEEK study. Nephrol Dial Transplant 25(5):1567–1575. doi:10.1093/ndt/gfp669gfp669

    Article  PubMed  Google Scholar 

  5. Tsai WC, Wu HY, Peng YS, Ko MJ, Wu MS, Hung KY, Wu KD, Chu TS, Chien KL (2016) Risk factors for development and progression of chronic kidney disease: a systematic review and exploratory meta-analysis. Medicine (Baltimore) 95(11):e3013. doi:10.1097/MD.0000000000003013

    Article  Google Scholar 

  6. Taal MW, Brenner BM (2006) Predicting initiation and progression of chronic kidney disease: developing renal risk scores. Kidney Int 70(10):1694–1705. doi:10.1038/sj.ki.5001794

    Article  CAS  PubMed  Google Scholar 

  7. Wilson PW, D’Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB (1998) Prediction of coronary heart disease using risk factor categories. Circulation 97(18):1837–1847

    Article  CAS  PubMed  Google Scholar 

  8. D’Agostino RB Sr, Grundy S, Sullivan LM, Wilson P, Group CHDRP (2001) Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA 286(2):180–187

    Article  PubMed  Google Scholar 

  9. James MT, Hemmelgarn BR, Tonelli M (2010) Early recognition and prevention of chronic kidney disease. Lancet 375(9722):1296–1309. doi:10.1016/S0140-6736(09)62004-3

    Article  CAS  PubMed  Google Scholar 

  10. O’Seaghdha CM, Lyass A, Massaro JM, Meigs JB, Coresh J, D’Agostino RB Sr, Astor BC, Fox CS (2012) A risk score for chronic kidney disease in the general population. Am J Med 125(3):270–277. doi:10.1016/j.amjmed.2011.09.009

    Article  PubMed  PubMed Central  Google Scholar 

  11. Stanifer JW, Muiru A, Jafar TH, Patel UD (2016) Chronic kidney disease in low- and middle-income countries. Nephrol Dial Transplant 31(6):868–874. doi:10.1093/ndt/gfv466

    Article  PubMed  Google Scholar 

  12. Praditpornsilpa K, Lekhyananda S, Premasathian N, Kingwatanakul P, Lumpaopong A, Gojaseni P et al (2011) Prevalence trend of renal replacement therapy in Thailand: impact of health economics policy. Med Assoc Thai 94(Suppl. 4):S1–S6

    Google Scholar 

  13. Vathesatogkit P, Woodward M, Tanomsup S, Ratanachaiwong W, Vanavanan S, Yamwong S, Sritara P (2011) Cohort profile: the electricity generating authority of Thailand study. Int J Epidemiol. doi:10.1093/ije/dyq218

    PubMed  Google Scholar 

  14. Sritara P, Cheepudomwit S, Chapman N, Woodward M, Kositchaiwat C, Tunlayadechanont S, Sura T, Hengprasith B, Tanphaichitr V, Lochaya S, Neal B, Tanomsup S, Yipintsoi T (2003) Twelve-year changes in vascular risk factors and their associations with mortality in a cohort of 3499 Thais: the Electricity Generating Authority of Thailand Study. Int J Epidemiol 32(3):461–468

    Article  PubMed  Google Scholar 

  15. National Kidney Foundation (2002) K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 39(2 Suppl):S1–S266

    Google Scholar 

  16. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J, Ckd EPI (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150(9):604–612

    Article  PubMed  PubMed Central  Google Scholar 

  17. Wen CP, Matsushita K, Coresh J, Iseki K, Islam M, Katz R, McClellan W, Peralta CA, Wang H, de Zeeuw D, Astor BC, Gansevoort RT, Levey AS, Levin A, Chronic Kidney Disease Prognosis C (2014) Relative risks of chronic kidney disease for mortality and end-stage renal disease across races are similar. Kidney Int 86(4):819–827. doi:10.1038/ki.2013.553

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. National High Blood Pressure Education P (2004). In: The seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure. National Heart, Lung, and Blood Institute (US), Bethesda (MD)

  19. Organization WH (2006) Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia: report of a WHO/IDF consultation. 29

  20. Friedewald WT, Levy RI, Fredrickson DS (1972) Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 18(6):499–502

    CAS  PubMed  Google Scholar 

  21. Levey AS, Coresh J, Greene T (2007) Expressing the Modification of Diet in Renal Disease Study equation for estimating glomerular filtration rate with standardized serum creatinine values. Clin Chem 53:766–772

    Article  CAS  PubMed  Google Scholar 

  22. Hosmer DWHT, Le Cessie S, Lemeshow S (1997) A comparison of goodness-of-fit tests for the logistic regression model. Stat Med 16(9):965–980

    Article  CAS  PubMed  Google Scholar 

  23. Zou KH, O’Malley AJ, Mauri L (2007) Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models. Circulation 115(5):654–657. doi:10.1161/circulationaha.105.594929

    Article  PubMed  Google Scholar 

  24. Hanley JA, McNeil BJ (1983) A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 148(3):839–843. doi:10.1148/radiology.148.3.6878708

    Article  CAS  PubMed  Google Scholar 

  25. Kshirsagar AV, Bang H, Bomback AS, Vupputuri S, Shoham DA, Kern LM, Klemmer PJ, Mazumdar M, August PA (2008) A simple algorithm to predict incident kidney disease. Arch Intern Med 168(22):2466–2473. doi:10.1001/archinte.168.22.2466

    Article  PubMed  PubMed Central  Google Scholar 

  26. Chien KL, Lin HJ, Lee BC, Hsu HC, Lee YT, Chen MF (2010) A prediction model for the risk of incident chronic kidney disease. Am J Med 123(9):836–846 e832. doi:10.1016/j.amjmed.2010.05.010

    Article  PubMed  Google Scholar 

  27. Jha V, Prasad N (2016) CKD and infectious diseases in Asia Pacific: challenges and opportunities. Am J Kidney Dis. doi:10.1053/j.ajkd.2016.01.017

    PubMed  Google Scholar 

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Acknowledgements

We would like to thank the staff at EGAT and Ramathibodi for clinical and administrative assistance.

Funding

The EGAT study is sponsored by the Faculty of Medicine, Ramathibodi Hospital, Mahidol University, the National Research Council, the Thailand Research Fund, the Thai Heart Association, the Thai Health Foundation, and the Higher Education Research Promotion and National Research University Development, Office of the Higher Education Commission.

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Correspondence to Chagriya Kitiyakara.

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All authors declare no conflicts of interests.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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Saranburut, K., Vathesatogkit, P., Chittamma, A. et al. Evaluation of the Framingham Heart Study risk factors and risk score for incident chronic kidney disease at 10 years in a Thai general population. Int Urol Nephrol 49, 851–857 (2017). https://doi.org/10.1007/s11255-017-1530-1

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